Skip to main content
  • Review Paper
  • Open access
  • Published:

Systematic review on the application of 3D-bioprinting technology in orthoregeneration: current achievements and open challenges



Joint degeneration and large or complex bone defects are a significant source of morbidity and diminished quality of life worldwide. There is an unmet need for a functional implant with near-native biomechanical properties. The potential for their generation using 3D bioprinting (3DBP)-based tissue engineering methods was assessed. We systematically reviewed the current state of 3DBP in orthoregeneration.


This review was performed using PubMed and Web of Science. Primary research articles reporting 3DBP of cartilage, bone, vasculature, and their osteochondral and vascular bone composites were considered. Full text English articles were analyzed.


Over 1300 studies were retrieved, after removing duplicates, 1046 studies remained. After inclusion and exclusion criteria were applied, 114 articles were analyzed fully. Bioink material types and combinations were tallied. Cell types and testing methods were also analyzed. Nearly all papers determined the effect of 3DBP on cell survival. Bioink material physical characterization using gelation and rheology, and construct biomechanics were performed. In vitro testing methods assessed biochemistry, markers of extracellular matrix production and/or cell differentiation into respective lineages. In vivo proof-of-concept studies included full-thickness bone and joint defects as well as subcutaneous implantation in rodents followed by histological and µCT analyses to demonstrate implant growth and integration into surrounding native tissues.


Despite its relative infancy, 3DBP is making an impact in joint and bone engineering. Several groups have demonstrated preclinical efficacy of mechanically robust constructs which integrate into articular joint defects in small animals. However, notable obstacles remain. Notably, researchers encountered pitfalls in scaling up constructs and establishing implant function and viability in long term animal models. Further, to translate from the laboratory to the clinic, standardized quality control metrics such as construct stiffness and graft integration metrics should be established with investigator consensus. While there is much work to be done, 3DBP implants have great potential to treat degenerative joint diseases and provide benefit to patients globally.


Orthoregeneration is a growing field where 3D bioprinting (3DBP) has great potential to restore function lost from disease or damage. The ability to print bone, cartilage, and blood vessels is reaching a level of maturation where clinical translation is a distinct possibility. This systematic review will focus on those tissues and their composites. Bone disease and trauma are particularly challenging, especially in complex or large defects. The articular joint functions to execute precise movements, bear compression, and is critical to mobility and activities of daily living [177]. Articular joint defects are common, affecting individuals across multiple demographic groups and are a significant source of socioeconomic burden [113, 127]. In 2019, almost 2 million arthroplasty procedures were performed in the United States, a number that is expected to more than triple by 2040 [171]. The increasing prevalence (21% rate of increase) and cost (> $880 billion) of musculoskeletal diseases [200] highlight the potential impact of 3D bioprinting strategies for the de novo development of bone, cartilage, vasculature and their composites.

Clinically available options are chosen due to defect severity, ranging from pain management and physiotherapy for mild osteoarthritis to graft implantation and prostheses for defects which limit activities of daily living. Autologous grafting, in which the patient’s chondrocytes are harvested, culture expanded, then re-introduced into the defective joint requires a second surgical intervention following a six to eight-week chondrocyte expansion period. These grafts have shown poor hyaline cartilage production and risk flap delamination [75, 122]. Orthopedic implants provide tremendous benefit to the patient but have limited durability. They are not recommended for younger patients both due to limited lifetime and inability to grow with the patient. They can also fail to osseointegrate and can suffer aseptic loosening. Revision risk is > 25% in patients aged 46–50 [140]. Critical-sized bone defects pose a significant threat to a patient's quality of life and are defined as those that will not heal spontaneously within a patient's lifetime [156]. The current gold standard clinical material for bone regeneration is the use of autologous bone graft [159]. This is due to the advantages of a cellularized nonimmunogenic tissue that can be revascularized, engraft and permit osteoconduction at the defect [62]. The quantity of tissue available and donor site morbidity are limitations of this method, therefore there is a drastic need for tissue-engineered bone implants [7, 29, 75, 122].

A fully functional composite construct remains an elusive goal in the field of tissue engineering. 3D bioprinting is a promising new technology because it allows for a high degree of geometric control on both the macro- and micro-scales. It gives us the ability to generate patient-specific bioactive scaffolds using 3D imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) [22]. Extracellular matrix (ECM)-mimicking materials can be used as, or added to, bioinks, creating environments in which cells readily grow and repair injured or missing tissues [207]. Patient-specific implants can be readily manufactured once cell and printing parameters are established [88, 190].

This systematic review aims to determine the current state of the field of 3D bioprinting in orthoregeneration. Further, we aim to give a perspective on the individual tissues of bone, cartilage, and vasculature along with their composites. Skeletal muscle or nerve constructs, while deserving of attention for future reviews, were not considered. We define 3D bioprinting as a structure created using computer-aided construct design methods and a cell-containing ink (bioink)[92]. This review provides an overview of the developments in 3D bioprinting-based tissue engineering techniques between 2011 and 2022, strategies, and methods for testing bone, cartilage, blood vessel, and composite osteochondral and vascular bone constructs. This includes the vast number of combinations of biomaterials and cells applied to the development of individual bone, cartilage, and vascular structures as well as osteochondral and vascularized bone. Also highlighted are challenges which must be addressed to bring the technology from the laboratory to the clinic.


A systematic review of the literature was performed using PubMed and Web of Science following PRISMA guidelines. Results were then filtered for full-text English language primary research articles published in the fields of bioengineering and regenerative medicine (Fig. 1). Search terms ‘((3D bioprint cartilage NOT (systematic review)) NOT (review)’ were used to identify articles on cartilage. Composite structure papers were identified using ‘(3d bioprint osteochondral) NOT (review)’ and ‘(3d bioprint vascular bone) NOT (review)’. Search terms ‘(bioprinting OR "tissue printing") AND (bone OR osteo*)’ were used to find bone construct articles. Papers engineering vascular constructs were identified using terms ‘((((3d bioprinting) AND (extrusion)) AND ((blood) OR (vessel) OR (vasculature) OR (vascular))))’. Duplicate results were removed and additional articles were found via references to yield a pool of primary articles for screening. Articles published before 2011, citations, reviews, short communications, case reports, articles written in non-English languages, articles which do not meet the definition of 3DBP or were published in a journal with impact factor (IF, Clarivate) < 2 were excluded.

Fig. 1
figure 1

PRISMA flow chart depicting article screening process

Excluded works include reviews, short communications, case reports, articles written in non-English languages, articles published in journals with impact factor < 2, citations, and articles which do not meet the definition of 3DBP. Example search terms include ((3D bioprint cartilage NOT (systematic review)) NOT (review)

Papers reporting on 3D bioprinting of bone, cartilage, vessels, cartilage with bone (osteochondral), and vascular bone structures were included. Articles considered in this review included 3D printing strategies and printing parameters for individual constructs. Data extracted included, but were not limited to, descriptions of cells used, culture conditions, and materials for assembling structures. Tissue characterization data using methods such as immunohistochemistry and fluorescence microscopy were evaluated for proof-of-concept. Data from animal models was also included. Engineering approaches were assessed by the characteristics and bio-similarity of the resulting construct.


Overview of the field

Electronic database searches yielded 1362 results, giving 1046 unique articles (Fig. 1). After an initial screening for full-text primary research articles, 607 papers remained. Of the 607 papers assessed for eligibility, articles were screened for inclusion/exclusion criteria and 11 were selected for full review. No studies were found on vascularized osteochondral tissue. Articles were most commonly published in Biofabrication (23%), Acta Biomaterialia (7%) and Advanced Healthcare Materials (6%, see also Supplemental Data). 3DBP cartilage was evaluated in 52 papers while 35 papers reported bone constructs, 11 involved vascular constructs, 10 described osteochondral prints, and 12 evaluated vascular bone (Fig. 2 and Supplemental Data). Despite its relative infancy, there is tremendous and growing interest in the field of 3DBP tissues.

Fig. 2
figure 2

Heat map of the top 19 most commonly used materials in bioinks

PCL: poly (caprolactone), PEG: poly(ethylene glycol), PGLA: poly(lactic-co-glycolic acid), PLA: poly (lactic acid). White indicates not reported

A wide spectrum of materials were used as bioinks, Fig. 2 summarizes the nineteen most commonly used materials (see also Supplemental Data). Collagen, alginate, hyaluronic acid, gelatin, and their related derivatives were used in constructs for each tissue type as well as both composite tissues. Several materials, including alginate and hyaluronic acid, are derived from natural sources, such as marine brown algae and rooster comb, respectively. Synthetic hydrogels, mainly based on poly (ethylene glycol; PEG), were also relatively common. Poly (caprolactone) (PCL) was the most frequently used non-hydrogel material and featured in all construct types aside from vasculature (Fig. 2). Other less frequently used materials included acrylated peptides, yeast mannan, borate glass, and silicate nanoplatelets (see Supplemental Data). Ceramics such as laponite were only featured in bone and vascular bone papers, which is likely due to their mechanical durability and osteoinductive nature.

The most commonly used cells, throughout all the tissues and composites, were bone marrow-derived mesenchymal stromal cells (MSCs) (Fig. 3a). This makes sense as MSCs have demonstrated osteogenic and regenerative potential in 3D bioprinted constructs aimed to repair fractures and large-scale defects [87]. Such MSC-containing structures can differentiate into cartilage and bone, commonly progressing to hypertrophy thereby acting as a template for endogenous osteogenesis [121, 133]. They can also take up perivascular positions, similar to their endogenous location, promoting angiogenesis [27]. Differentiation into vascular smooth muscle cells has also been reported [40]. Several groups elected to use terminally differentiated cells, such as chondrocytes and endothelial cells, which retain limited proliferative potential but require less differentiation lineage-specific culture considerations. A total of 50 papers reported bioinks with non-human cells. Donor species included pigs, chickens, and rats with cell selection based on in vivo implantation studies and prior studies using the cell lines (Fig. 3b).

Fig. 3
figure 3

Cell types and sources of cells used in bioinks for each tissue

a) Cells and derivation. b) Non-human cell sources. ACPCs: articular cartilage-resident chondroprogenitor cells, AFSCs: amniotic fluid-derived stem cells, ASCs: adipose-derived stem cells, ATDC5s: mouse teratocarcinoma cell line, BMSCs: bone marrow stromal cells, DMECs: dermal microvascular endothelial cells, DPSCs: dental pulp stem cells, ESCs: embryonic stem cells, HEKs: human embryonic kidney cells, HUVECs: human umbilical vein endothelial cells, iPSCs: induced pluripotent stem cells, MPCs: mesenchymal progenitor cells, MSCs: mesenchymal stromal cells, SMCs: smooth muscle cells, SVFCs: stromal vascular fraction cells of adipose tissue, WJMSCs: Wharton’s jelly mesenchymal stromal cells. White indicates not reported

Of the in vitro tests used, viability was the most commonly assessed. Highlighting viability as a cornerstone in 3DBP tissue engineering research and the importance of determining cell survival both before and after the printing process. Nucleic acid-based studies, primarily qPCR, was used to analyze cell lineage-specific genes such as alkaline phosphatase and type I collagen for bone, and aggrecan and type II collagen for cartilage. Fluorescent reporter genes were also used to determine cell function in vitro along with other microscopic methods such as vascular tube formation, proliferation, and cell morphology studies (Fig. 4). Physical characterization most frequently involved experiments related to mechanical testing, including construct compression and bioink rheology. Over a quarter (27%) of articles reported in vivo studies. In vivo analysis ranged from implanting constructs subcutaneously to using constructs as grafts for full-thickness joint defects. In vivo experiments were more frequently reported in composite tissues.

Fig. 4
figure 4

In vitro testing methods reported in papers from each construct category

Antibody-based = immunohistochemistry (IHC), immunocytochemistry (ICC), western blot, and ELISA. Biochemistry = mitochondrial activity, metabolic activity (e.g. media content analyses), molecule release, and enzyme activity. Histology = tissue sections typically stained with hematoxylin and eosin. Microscopy = morphological studies, scanning electron microscopy (SEM), transmission electron microscopy (TEM), reporter gene fluorescence, tube formation, and cell proliferation. Nucleic acid analyses = qPCR, sequencing, karyotyping, and genotoxicity studies. Viability = live/dead staining and DNA quantification studies were performed to assess viability before and after printing. Other = antimicrobial assays, perfusion, and imaging such as micro-computed tomography

For a full overview of all the papers included in terms of the bioink composition, cells used, crosslinking method, and outcome metrics with the ability to filter and sort please see the Supplemental Data file.

3D bioprinting of cartilage

Tissue engineered cartilage has applications in many areas, in this review we focused on the 3D bioprinting of articular cartilage. In articulating joints, cartilage is the smooth surface coating the bones. Cartilage provides a frictionless, lubricated surface for articulation, while also aiding in the distribution of loads [173]. One cell type, the chondrocyte, makes the tissue which is both avascular and aneural. Cartilage is composed of a dense ECM, secreted by chondrocytes, that is mainly type II collagen and proteoglycans (predominantly aggrecan). Together, these components form a tissue that is organized into specific zones (Fig. 5; [126]).

Fig. 5
figure 5

Organization of articular cartilage

a) Histological section of cartilage stained with safranin-O/Fast green. b) Depiction of cell and tissue structure. Both chondrocytes and collagen fiber orientation change depending on the location within the cartilage. Near the surface cells are flattened, and fibers run parallel with the articular surface, while in the middle to deep zones cells form columns and fibers run perpendicular to the surface. Adapted from [126]

The surface zone protects the deeper layers from frictional stress, a) by having higher levels of the proteoglycan PRG4, a lubricating protein [99, 173], and b) through collagen fiber alignment parallel to the direction of shear [36, 124, 210]. The middle and deep zones are mainly responsible for providing resistance to shear and compressive forces with increased levels of type II collagen and aggrecan. Finally, the calcified zone connects the cartilage to the subchondral bone providing an interface between tissues with distinctly different material properties, distributing load and preventing delamination [99, 173].

3D bioprinting of cartilage holds tremendous potential as cells can be expanded then oriented in a layer-by-layer approach, creating zonal organization of cartilage constructs with defined cell densities [161, 173, 208]. For example, to recapitulate cell densities of native tissue, a higher cell number can be used for the surface zone of the print, while fewer cells can be used for the calcified region. Because harsh treatments are not used during or post-printing, labile ECM stimulating molecules like TGFβ1 can be added into bioinks to improve cartilage formation in vitro [161]. The following sections demonstrate where the field of 3D bioprinted cartilage currently is, while also discussing the hurdles to overcome as progress is continually made towards clinical application.

Materials used in bioprinting of cartilage

Material selection is an important step in the optimization of 3D bioprinting. The two basic requirements of a bioink are high cytocompatibility and printability [94, 108]. Hydrogels are excellent materials for 3D bioprinting of cartilage. They can be biocompatible, biodegradable, and can aid in cell adhesion, proliferation, migration, and differentiation [99, 214]. Further, their mechanical characteristics make them highly printable.

Alginate was among the first hydrogels to be used in 3D bioprinting of cartilage in 2013 [209], and is still frequently used (Table 1). In this systematic review of 3DBP cartilage constructs, 37% used alginate, making it still the most used hydrogel for 3D bioprinting cartilage. Alginate is a natural polysaccharide-based hydrogel that has been shown to maintain chondrocyte phenotype and re-differentiate culture expanded, and therefore de-differentiated, chondrocytes [26, 99]. Alginate is easily crosslinked by placing the material in a calcium chloride bath. One drawback to using alginate is its inconsistent properties (viscosity, heavy metal content, and guluronic to mannuronic acid ratio) [99]. Another significant drawback is the use of calcium to crosslink; calcium is a potent cell signaling molecule known to have effects on chondrocytes [119]. These factors can all influence glycosaminoglycan and type II collagen production [99]. However, the ease of use, modification, and printability continue to make alginate a frequently used bioink.

Table 1 Cartilage 3D bioprinting: materials, cells and characterizations

Two other commonly used materials are gelatin [78, 182] and hyaluronic acid [11, 136, 138, 182]. Gelatin is derived from collagen by partial hydrolysis. It contains cell adhesion sites and target sequences for matrix metalloproteinases (MMP), giving it the ability to be remodeled by cells and degrade in culture [21, 202]. Hyaluronic acid is a naturally occurring anionic, non-sulfated glycosaminoglycan, that is an integral component in cartilage ECM and joint synovial fluid [137, 166].

To have a well-defined product, synthetic hydrogels were developed. Poly (ethylene glycol) (PEG) and its derivatives were among the first synthetic hydrogels for 3D bioprinting cartilage. PEG and its derivatives are used in about 12% of included 3D bioprinting cartilage papers. Synthetic hydrogels formed from PEG are cytocompatible and can be chemically modified for tunable mechanical characteristics [41]. Derivatives of PEG, poly(ethylene glycol) dimethacrylate or poly(ethylene glycol) monomethacrylate, are modified to improve the mechanical properties through the inclusion of photocrosslinking [41, 42, 44, 67, 215].

A disadvantage of printing with hydrogels is their relatively low mechanical strength in comparison to native cartilage [2]. Several methods have been implemented to improve the mechanical properties of hydrogels while maintaining the positive aspects of biocompatibility and printability. Methacrylation is one such common method, though it fails to achieve native material properties. Reacting the material with methacrylic anhydride introduces a methacryloyl substitution on the reactive amine or hydroxyl groups [202]. The degree of substitution can be altered during the reaction process, and the addition of the methacryloyl group gives the hydrogel photocrosslinking properties [202]. As previously mentioned, PEG is commonly methacrylated; gelatin and hyaluronic acid are also frequently methacrylated (also known as methacryloyl) materials. This overcomes the main drawback of gelatin, that it typically melts at physiological temperatures, to form gelatin methacrylate (GelMA) [38, 44, 45, 48, 59, 72, 84, 93, 100, 104, 110, 112, 118, 142, 162, 164, 191, 215]. GelMA retains all the positive qualities found in gelatin, but also has tunable mechanical properties, making it the second most used bioink for 3D bioprinting of cartilage, at 35% of included papers. Methacrylation of hyaluronic acid enables tunable crosslinking and degradation rates [38, 59, 93, 104, 142]. Other materials that have been used in 3D bioprinting of cartilage and have been methacrylated include hydroxypropyl methyl cellulose [139], mannan [80], polyvinyl alcohol [112], chondroitin sulfate amino ethyl [38], and kappa carrageenan [82] (Table 1).

Methacrylated polymers enable crosslinking using photoinitiators. Photoinitiators commonly used in crosslinking are Irgacure 2959 [38, 41, 42, 48, 67, 72, 76, 80, 82, 84, 162, 189] or lithium phenyl-2,4,6-trimethylbenzoylphosphinate (LAP) [48, 59, 66, 93, 104, 118, 132, 142]. Irgacure 2959 maximally absorbs at 274 nm, however this has an added risk of potential UV damage to cells within the bioink [17]. LAP has become more commonly used as it absorbs in the visible light range with a maxima at 375 nm and is more water soluble [58]. With both photoinitators, high cell viability has been established (above 70%) at concentrations up to 0.3% w/v, when typically, 0.05% w/v is used [194]. Photocrosslinking can be a straightforward method to increase the strength of hydrogels during or after 3D bioprinting that does not typically decrease cell viability.

Another method to increase the mechanical strength of hydrogels is the addition of a stronger material. Often polycaprolactone (PCL) [44, 45, 76, 85, 143, 155, 162, 164, 175, 178,179,180,181,182, 201] or polylactic acid [11, 100] are used to create the stiff structure in the 3D model. Both PCL and polylactic acid have FDA-approved applications [174]. Typically, fiber networks are printed first and then the cell-laden hydrogels are printed into the network. PCL is biocompatible, easy to shape, and has tunable elastic and mechanical properties [164]. PCL also has a lower melting temperature (60 °C) compared to polylactic acid (170 °C) [164]. However, one drawback to printing with multiple materials is a lack of integration between the two materials due to a large difference in material properties.

Overall, hydrogels are the most frequently used material for 3D bioprinting cartilage. Their biocompatibility is a major advantage, as well as the ability to add growth-stimulating factors due to mild print conditions. While low mechanical strength is a disadvantage, that can be remedied by crosslinking or by co-printing with a stronger material.

Bioink and cartilage construct initial characterization

Bioink printability, i.e., shear thinning behavior, can directly impact the viability of cells within the material. Extrusion-based 3D bioprinting involves pressure being applied to a bioink-containing syringe barrel and the continuous extrusion of material [47, 207]. This is the most frequently used form of 3D bioprinting in cartilage papers included in this review (75%). A wide range of materials can be used with this form of bioprinting, including all those previously mentioned in Section 3.2.1. However, one of the disadvantages of extrusion methods is shear stress on the cells [47, 207].

Rheology is the study of flow and deformation of matter and is frequently applied to extrusion-based bioprinting materials [65]. More than half (52%) of papers performed rheological assessment of the materials. Viscoelastic (shear-thinning) rheological behavior is an ideal characteristic for extrusion of hydrogel-based bioinks, in which during printing it becomes less viscous, but after printing it returns closely to its original gel state [8, 136]. Other than cell viability, these properties can also impact the print shape fidelity. Bioinks that are too thick may have lower cell viability, but higher shape fidelity. Overall, bioink selection requires a balance between printability, cell viability, and print shape fidelity.

Swelling ratio was used in 29% of papers included in this review. Factors that influence the swelling of hydrogels include molecular weight and concentration of the macromer used and crosslinking extent [146]. Swelling has also been shown to impact the elastic property of hydrogels [176]. It is used to determine the degree of crosslinking, mechanical or viscoelastic properties, and even degradation rate of hydrogels [170].

Another important quality of materials for 3D bioprinting cartilage is mechanical strength. Articular cartilage of human adults has a stiffness value ranging from 0.14 to 1.30 MPa, depending upon age and mechanical test [149, 150]. One goal of cartilage tissue engineering is to achieve near-native tissue mechanical strength. A caveat to this is that native adult stiffness may impair integration with tissue surrounding the implant by restricting cell movement; could fetal tissue stiffness and cellularity be more optimal? Half of the cartilage papers performed compression testing on materials used to determine stiffness values. Casts of materials, rather than prints, are typically made and then tested with either dynamic mechanical analysis [38, 100, 101, 112, 118, 164, 175, 212] or unconfined compression [12, 41, 42, 48, 59, 67, 72, 80, 93, 139, 142, 164, 189, 208, 215]. Out of the papers included in this review, 5 different moduli were reported for mechanical characterization including Young’s modulus [76, 162, 179], dynamic modulus [164], compressive modulus [11, 45, 66, 198], equilibrium modulus [44, 164], and elastic modulus [155]. As stated in the systematic review by Patel et al., while compression testing is the most common form of mechanical characterization, there is high variability in testing criteria and analysis [149]. Standardization of these methods will allow for easier comparison between studies, and translation into the clinic. In the meantime, and even beyond, it is recommended that all reports on mechanical testing include a test of native tissue in their setup (e.g. bovine).

Mechanical testing is most often performed before the mixing of cells within the material and often done without actual printing. However, a few papers performed mechanical tests post in vitro culture to demonstrate the effect of matrix deposition on mechanical stiffness of a 3DBP construct [11, 66, 76, 162, 164, 179]. All six papers showed an increase in mechanical properties between day 0 and the end point. Notably, Ruiz-Cantu et al., printed with 20% GelMA(w/v) containing sheep chondrocytes (10 × 106 cells/mL, passage 1) [162]. The Young’s modulus increased from 0.2 MPa to 0.25 MPa to 0.3 MPa to 0.7 MPa on day 0, 14, 21 and 50 respectively. They observed a similar trend for 15% GelMA but with lower values (0.1–0.5 MPa) [162]. Sun et al., bioprinted rabbit MSCs with PCL and poly (lactic-co-glycolic acid) growth-factor containing microspheres and varied the spacing of the PCL fibers [179]. Both the 150 µm spaced and the 150–750 gradient spaced PCL scaffolded construct had comparable stiffness to native tissue [179]. Day 0 was not reported so it is unclear how much of this stiffness is due to ECM production vs. scaffold. Physical property evaluation of both the materials used in 3D bioprinting cartilage and the final 3D printed constructs are essential for determining in vitro cartilage formation.

Cells used in cartilage bioprinting

The cell types used for 3D bioprinting of cartilage can be split into two groups: chondrocytes and MSCs. Chondrocytes are an obvious choice, as they are the only cell type within the tissue. Chondrocytes are responsible for producing and regulating the extracellular matrix of cartilage [173]. They respond to stimuli including growth factors, and mechanical loads [173]. Articular chondrocytes were used in 38% of papers included in this review. Of those, human chondrocytes were the most common at 35%. The other 65% of articular chondrocytes were harvested from bovine (20%), porcine (10%), chicken (10%), rat (10%), rabbit (5%), sheep (5%), and equine (5%) donors.

One major challenge to using chondrocytes is their limited potential to proliferate [90]. To overcome that challenge, MSCs were used in 58% of the papers included. MSCs used for bioprinting cartilage were predominantly harvested from bone marrow (93%), but 7% used adipose-derived MSCs. This predominance of bone marrow-derived MSCs is due to their greater chondrogenic potential [128]. MSCs are used because of their ability to differentiate into chondrocytes, role in tissue repair, and ability to migrate to areas of damage [91, 203]. MSCs have also shown increased ECM production when cocultured with chondrocytes [203]. Both MSCs [203] and primary articular chondrocytes [54] have a high level of donor to donor variability. This variability is a disadvantage in using cells from any primary source. There is, however, potential in using an allogenic, well-characterized cell source, due to the immunoprivileged nature of articular cartilage [14].

To reduce donor variability, cell lines are often used as a proof of concept (13%). ATDC5s are immortal murine cells, first isolated from teratocarcinoma stem cell line [15]. They retain the properties of chondroprogenitor cells, and easily proliferate in vitro, making them a commonly used model for in vitro chondrogenesis [53, 156]. However, as with all cell lines, ATDC5s have the limitation of not necessarily reacting or responding the same as primary cells. It also limits the broader applicability of the method given that they could not be implemented clinically.

In vitro/in vivo efficacy of cartilage constructs

The first step towards a biomimetic construct is 3D bioprinting a scaffold with characteristics that will induce chondrogenesis, which is typically determined through in vitro assessment. The three most common tests performed are histology, biochemistry, and qPCR, done in 48%, 38%, and 48% of included papers, respectively (Table 1). For histological assessment, staining was commonly performed for glycosaminoglycan content using alcian blue (40%) or safranin-O (52%). Immunohistochemistry was used to detect type I collagen (29%), type II collagen (58%), and/or aggrecan (13%). Because of the qualitative nature of these methods both biochemical assessment and qPCR are implemented for quantitative analysis. DNA is commonly measured using Hoechst 33,258 or PicoGreen® and glycosaminoglycan assessed using a modified dimethylmethylene (DMMB) blue assay [67, 70, 155, 198]. Gene expression of type I collagen (64%), type II collagen (96%), SOX9 (72%), and aggrecan (76%) are commonly analyzed by qPCR [67, 70, 142]. One caveat to these types of evaluation is that they only represent a snapshot at a specific time point in culture, typically measured as an endpoint assay.

The most frequently performed in vitro test is cell viability, assessed in 85% of included papers. Viability is commonly assessed using a live/dead stain, imaging, and quantification. Viability is often measured at multiple time points, often post-printing (day 0), day 1, and/or 7, 14, or 21. High viability is typically observed at each time point, with an initial decrease after printing (70–80%), but by day 7 the cells have recovered (90–100%).

The state of the field of 3D bioprinting cartilage is still predominantly in the in vitro phase as ideal bioinks and bioprinting techniques are being optimized. However, 23% of papers included in this review pursued in vivo testing [45, 67, 80, 118, 179,180,181, 189, 201, 208, 212]. Out of those papers, 66% performed a subcutaneous implant on a mouse and completed histological assessment for cartilage, or bone formation [45, 67, 80, 143, 180, 189, 201, 208]. Of note, two studies investigated repair of a rabbit cartilage knee defect [179, 181]. Another assessed a full-thickness cartilage defect in rats [212]. In 2019, Sun et al., observed similar histology staining in the growth differentiation factor 5 (GDF5) group as compared to native cartilage [181]. In 2021, Sun et al., also observed good repair and cartilage formation in their gradient group (150–750 µm spacing of PCL fibers) [179] (Fig. 6). While this is an excellent outcome, it should be noted that the defect was made in the non-weight-bearing surface of the knee between the medial and lateral condyle, a defect site where repair would generally be unnecessary. Zhou et al., made defects on the trochlear groove of each distal femur in 3-month-old rats [212]. While the implant did develop new cartilage, after 6 weeks post-implantation the new tissue had an irregular surface and the interface between the implant and native tissue was still noticeable [212]. These in vivo studies emphasize two major hurdles that need to be crossed: developing an implant for a load-bearing joint and integration between the implant and native tissue.

Fig. 6
figure 6

In vivo efficacy of PCL composite

Gradient PCL structured scaffold displayed improved cartilage repair compared to non-gradient (NG) scaffolds. a) Scaffold implantation within the defect site (4 mm wide, 4 mm deep) in the non-weight bearing surface between the medial and lateral condyle of the rabbit knee and the gross appearance after 24 weeks. b) Histology section of the gradient group has stronger safranin-O staining compared to the NG groups. Adapted from [179] with permission from Elsevier

Bioprinted cartilage conclusion

As highlighted in this section, 3D bioprinting is already making an impact on cartilage tissue engineering. The field has been focused on developing novel bioinks, characterization of materials, and improving the bioprinting process. Several studies have progressed to in vivo articular defect models, and it is expected that we will soon see this number increase. There are still major hurdles that need to be overcome: 1) The zonal complexity of articular cartilage; 2) The optimal stiffness of a construct to promote integration; with host tissue; 3) Long term large animal models durability; 4) Load bearing constructs; 5) when to load bear; and 6) what rehabilitation regime to follow.

3D bioprinting of bone

Bone is a complex tissue that has mechanical, hematopoietic, endocrine, and metabolic functions. It provides structure and protection to the surrounding soft tissues and is necessary for metabolic regulation of calcium and phosphate as well as hematopoiesis [81]. Bone can withstand and adapt to mechanical stresses and self-repair due to synergy among its components: cells, ECM, and bioactive molecules such as bone morphogenetic proteins (BMPs) [28]. The field of bone tissue engineering has advanced significantly since its initiation in the mid 1980s [6]. In general, the same factors that make a material ideal for bone make it difficult to 3D bioprint. The primary obstacle in 3D bioprinting of bone is the need to maintain both cell viability and provide mechanical support. Osteoinduction is the process by which osteogenesis is induced by exogenous factors, while osteoconduction is how conducive the implant itself is to bone formation [157]. Effective osteoinduction was achieved after heterotopic implantation was induced by BMPs, a bioactive group of molecules [18]. The ideal 3D bioprinted bone construct would provide an environment with regenerative capacity that mimics the body’s natural healing process by promoting osteogenesis while having sufficient mechanical strength and osseointegration into host tissues [159].

Materials used in 3D bioprinting of bone

Extrusion based 3D bioprinted bone was by far the most common method (81%). Out of 36 articles in this section, natural polymer hydrogels were the most widely used materials for bioprinting of bone. Like cartilage, alginate, was used most often, (38%; Table 2). It is also suitable for bone defect repair and can form highly hydrated three-dimensional structures mimicking features of bone extracellular matrix (water content of bone ECM is close to 25%) [19, 73]. Alginate is commonly combined with materials such as hydroxyapatite or “bioactive glass” to generate osteoconductive scaffolds [73, 192]. Bioactive glasses are an inorganic component which promote osteoconductivity due to the formation of hydroxyapatite [50]. Five studies (14%) used alginate in conjunction with gelatin. Alginate/gelatin combinations improve cell metabolic activity and can be used to tune the mechanical properties to facilitate bone bioprinting [79, 83, 114, 192, 205, 206]. In one study by Ahlfeld et al., a tripartite mix was used blending alginate with methylcellulose and laponite [3]. This synthetic clay augmented cell spreading and osteogenesis in tissue-engineered constructs. Following extrusion, 70–75% of printed immortalized human mesenchymal stem cells survived, and cell viability was maintained over 21 days.

Table 2 Bone 3D bioprinting: materials, cells and characterizations

Zhang et al. made different composites with graphene oxide (GO) with 0.5–2 mg/ml (0.5GO, 1GO, 2GO) [205]. Composites were mixed with hMSCs in an alginate/gelatin (0.8%/4.1%, w/v) solution [205]. GO bioinks improved printability, scaffold fidelity, compressive modulus cell viability and upregulated osteogenic genes (ALPL, BGLAP, PHEX) over 42 days.

Cunniffe et al. produced gene-activated bio-ink by adding nano-sized particles of hydroxyapatite/DNA to RGD-γ-irradiated alginate [43]. Delivery of a combination of therapeutic genes encoding for BMP2 and transforming growth factor (TGF-β3) promoted robust osteogenesis of encapsulated MSCs in vitro, with enhanced levels of matrix deposition and mineralization.

GelMA was the second-most popular material and featured in 25% of the studies included in this section (Table 2 and Supplemental Data). GelMA has been used due to its water solubility, natural cell-binding motifs, gradual degradability, and its relative similarity to ECM [96]. Amler et al. highlighted the ease of use as one of GelMA’s advantages as a bioink material [7]. Sun et al. mixed 5% GelMA/ 3% gelatin/ 0.2% lithium phenyl-2,4,6-trimethylbenzoylphosphinate (LAP) and 2% PEG acrylate with 0%, 0.4%, 0.8% of mesoporous silica nanoparticles [178]. Mesoporous silica nanoparticles (MSN) enhanced the shear-thinning behavior of GelMA/gelatin/PEG bioinks, and the high viscosity after printing enabled the scaffold to maintain its structures with high resolution. They also were able to improve the compressive strength of scaffolds by 1.6-fold with 0.4% MSN (194.63 ± 9.58 kPa) and 1.92-fold with 0.8% MSN (233.06 ± 8.35 kPa) respectively [178]. In another study, Dubey et al. incorporated amorphous magnesium phosphate into a hydrogel to trigger osteogenic differentiation of dental pulp stem cells without using growth factors in order to stimulate bone regeneration in vivo (Fig. 7; [55]).

Fig. 7
figure 7

Print process and in vivo calvarial defect evaluation of peptide/magnesium/cell construct

Graphical description of hydrogel preparation (a). Evaluation in critical-sized bilateral defect procedure on rats. Bioprinted construct on the PTFE membrane (b), prepared defect after irrigation (c), implantation (d), suture (e), and uCT evaluation at 4 weeks (f). Reprinted with permission from [55]. Copyright 2020 American Chemical Society

Other materials used include: hyaluronic acid or its derivatives (11%), silk/PEG bioink (3%), PCL with borate glass composite (3%), nanocellulose/chitosan-based bioink (3%), silylated hybrid hydroxypropyl methyl cellulose hydrogel (3%) and commercial collagen-based hydrogel (3%; Table 2). Zhai et al. fabricated constructs using rat osteoblasts encapsulated in 20% hyaluronic acid solution in PEG-clay bioink [204]. These scaffolds showed excellent osteogenic potential due to the release of bioactive ions, including magnesium and silicon, from the surrounding PEG-clay microenvironment. Maturavongsadit et al. added chitosan (a natural polysaccharide derived from chitin extracted from shells of crustaceans, mainly crabs and shrimps [92]) [123]. Wang et al. combined a mixture of PCL/mesoporous bioactive glass/doxycycline to a bioink with BMP2-transfected cells [191]. They 3D bioprinted scaffolds with good mechanical properties containing living cells capable of controlled expression and release of BMP2 to promote bone formation (further explained in Section 3.3.3).

Bioink and bone construct initial characterization

A major challenge in orthopedics is to develop implants that overcome current postoperative problems such as osseointegration, proper load bearing, and stress shielding [77]. To this end, the mechanical properties, strength, and modulus of elasticity/stiffness of a bone scaffold material are of particular importance [182, 185]. Since bone is exposed to complex non-uniform mechanical stress, and to various nutritional and vascular needs, constructs must possess physical properties providing aid for cell differentiation by ensuring a favorable 3D microenvironment [30]. To address this vital issue, twelve studies (33%) incorporated compression testing [3, 12, 19, 20, 123, 147, 178, 191, 199, 204,205,206]. While a common test of bone properties, 3-point bending was not used in any of the studies found.

Out of the papers included in this section, three different moduli were reported for mechanical characterization including Young’s modulus [3, 12, 123, 147, 199], dynamic modulus [3, 19], and compressive modulus [178, 191, 204,205,206]. As stated in Section 3.2, this variety of testing and analysis leads to difficulty in comparison between different studies. Establishing a more standardized approach is especially important for bone scaffold testing, as mechanical strength is an important characteristic of bone. Again, in the absence of a standardized test, we would recommend that all studies test a piece of native bone in parallel to their constructs.

GO in gelatin-alginate enhanced the biomechanical strength of bone constructs [34, 156]. The compressive moduli of the 1GO and 2GO scaffolds were ~ 1.58 kPa and ~ 1.63 kPa, respectively, which were significantly higher than that of 0GO ~ 0.69 kPa on day 1. Wang et al. incorporated PCL/mesoporous bioactive glass/doxycycline and cell-loaded bioink (5% GelMA, 1% HAMA, and 0.5% LAP) mixtures together and printed scaffold containing cell-loaded bioink [191]. Their construct had a compressive modulus of 82.5 ± 18.9 MPa which falls within the suggested compressive modulus range for “optimal bone tissue regeneration (10–1500 MPa)” suggesting this construct may be helpful in the process of large bone defect healing.

Twenty-one (58%) studies used rheological assessment as one of the main ways to assess their bioinks (see Table 2 and Supplemental Data). Section (3.2.2), defines and highlights the advantages of using rheological assessment for bioink characterization. Five (13%) studies used spectroscopic methods to quantify and characterize their bioinks (such as evaluation of type I collagen fibrillation) [12, 55, 134, 167, 211]. Swelling analyses were also performed and Maturavongsadit et al., determined that the presence of cells did not have a significant impact on the degree of shrinkage of the fabricated scaffolds [3, 20, 123, 129].

In 44% of the studies included, scaffold microstructures were analyzed using electron microscopy, mostly scanning electron microscopy (77%, SEM; Table 2). Two studies (11%) used transmission electron microscopy (TEM) [73, 205] and two more used both SEM and TEM to characterize their microstructures [178, 191]. These assessments help visualize the constructs’ shape and compare their fidelity to native bone microstructure.

Cells used in bioprinting of bone

Primary cells from human donors were the most frequently used cell types (69%) in 3D bioprinted bone (see Table 2 and Supplemental Data). The main animal cell types used were mouse osteoblasts in 19% of studies [19, 20, 29, 106, 114, 123, 199]. Two studies (5%) used rat chondrocytes [11, 204]. Twenty-two (61%) of the studies used MSCs, mostly drawn from human bone marrow, while two used human adipose stromal cells (5%) [134, 163] and three studies (8%) [3, 57, 73] used immortalized human mesenchymal stem cell line expressing human telomerase reverse transcriptase (hTERT-MSCs; Table 2).

Multipotent cell lines were selected mostly due to their differentiation potential. Three studies mixed primary MSCs with endothelial cells (e.g., HUVECs) to make vascularized bone ([27, 130, 163] see also section 3.6). Amler et al. demonstrated that periosteum-derived mesenchymal progenitor cells are another osteogenic cell source [7]. This was based on microscopic observations, viability, mineralization capacity, and gene expression analyses of cells obtained via periosteal shaving which demonstrated high proliferation rates for 3D bioprinting of bone.

Rukavina et al. printed human adipose‐derived mesenchymal stromal cells in osteo‐hydrogel to produce complex prevascularized bone constructs [163]. They produced a calcified ECM in vivo and demonstrated ossification, making them promising for bone bioprinting. Wang et al. genetically engineered fibroblasts (C3H10T1/2) to release BMP2 in response to doxycycline for the dual function of osteo-induction and bacterial inhibition [191]. Although a variety of different cells were used, articles reviewed in this section show that human MSCs are promising cell source for bone tissue engineering as they have demonstrated osteogenic and regenerative potential in 3DBP bone constructs.

Cellular function in 3D bioprinted bone

Bioprinted bone constructs are characterized by several methods to assess osteogenesis. RT-qPCR analysis was performed in 43% of papers included in this section. The top three genes measured using qPCR were alkaline phosphatase, type I collagen, and RUNX2. Alkaline phosphatase is a cell-surface enzyme that increases inorganic phosphate promoting bone mineralization [144, 187]. Type I collagen is the principal component of pre-bone ECM, forms the basis for mineralization, and thus can be used as an early marker for osteogenic differentiation [98]. RUNX2, or Runt-related transcription factor 2, is a regulator of osteogenic differentiation [98]. Histology was also commonly used to visually assess osteogenesis of printed constructs. Thirty-six percent of studies related to bone bioprinting used some form of histology, the majority of which used hematoxylin and eosin staining. Other notable methods include the alkaline phosphatase activity biochemical assay, which was used in 23% of bone studies, and alizarin red staining, which was used in 20%. One study also used cytochemistry to determine mineralization by evaluating the expression of osteocyte biomarkers (Connexin43 and E11/Podoplanin) [199].

The process of high-pressure extrusion of dense liquid or semi-solid bioinks used in bioprinting of bone tissue can lead to cell death [145]. Thus, most bone studies (86%) employed some form of viability assay (live/dead, cytotoxicity, or DNA quantification). In these studies, cell viability varied widely from 20 to 90% depending on needle diameter, printing pressure, and the type of hydrogel employed [57, 110]. Bioink composition can be used to improve the viability of the construct and add beneficial characteristics such as antimicrobials. Choe et al. reduced oxidative stress through the addition of GO, protecting against H2O2 challenge, suggesting 3DBP constructs may be capable of withstanding stress which would otherwise lead to apoptosis and prevent proper bone growth [34].

Many in vitro studies have shown significant promise in the field of bone 3DBP, almost a quarter (23%) demonstrated translation into an in vivo study. Dubey et al. created an extracellular matrix/amorphous magnesium phosphate (ECM/AMP) bioink to print structures later implanted into rat calvarial defects [55]. They demonstrated that ECM/AMP bioink improved osteogenic differentiation without the use of additional chemical inducers, and significantly increased bone formation, quantified as percent of tissue volume (BV/TV) using microCT, in vivo. The ECM/AMP bioink construct group produced approximately 17% BT/TV regeneration at 8 weeks vs. < 5% in control. While these results are promising, it is worth noting that the results were not significantly greater than those for the pure ECM bioink scaffold.

Almost a quarter (23%) of studies included an in vivo model. Of those, mouse (63%) and rat models (37%) were investigated (Table 2). Subcutaneous implantation was most common [43, 163, 191, 211], then calvarial [55, 96, 178] or tibial implant models [204].

Bioprinted bone conclusion

This section highlighted how the field of 3DBP-based bone tissue engineering has focused on developing novel bioinks, finding the optimum bioink composition for bone, and characterization of materials either by assessing their osteogenesis or mechanical properties. Given the role of bone in weight-bearing and gait, standardization of methods used to characterize constructs, especially mechanical testing, will be important in the translation of this technology into the clinic. Of the bioprinted bone constructs, 20–90% cell viability was demonstrated in vitro which was heavily dependent on bioink additives. As the field advances, it is crucial to emphasize animal studies to address tissue integration and viability of the constructs.

3D bioprinting of vasculature

Bone is a highly vascularized tissue and receives about 10% of cardiac output. In long bones, blood flow typically comes from three main sources: the nutrient artery system, periosteal system, and metaphyseal-epiphyseal system [25, 120]. Nutrient arteries sustain high blood pressure and are composed of a single endothelial cell layer wrapped by smooth muscle and mesenchymal cells. Within the bone marrow, sinusoidal capillaries lack a basement membrane and are composed of a single layer of endothelial cells (ECs) which contain large gaps to allow movement of leukocytes and hematopoietic cells between the bone marrow and vasculature [158].

Occlusion of certain vessels can prove fatal, and thus several techniques to replace vessels have been created [187]. Conventional repair involves autologous transplant of blood vessels harvested from a patient’s artery or vein. However, grafting autologous vasculature is limited by poor availability, requirement for additional surgeries, and a failure rate as high as 45% [13, 188]. When autologous grafts are unavailable, grafts made from synthetic polymers are used but they only function in larger vessels and often lead to occlusion in small-diameter (< 6 mm) grafts [152]. In conventional bone repair strategies, surgeons typically use non-viable, sterilized bone, grafts [115, 186]. Novel techniques to bioengineer vessels with integrated meso- and micro-vasculature aim to solve challenges posed by large synthetic grafts. Alternative methods include sacrificial electrospinning, sacrificial molding, cell sheet stacking, and decellularization but they all have drawbacks such as limited scalability, the potential for rupture under high shear stress, and limited nutrient diffusion [193]. For a general overview of these non-3D bioprinting methods, see Wang et al. (2019).

Major advantages of 3D bioprinting vasculature include: reduced operative time; no graft harvest requirement; closer mimicking of in vivo conditions compared to polymer grafts; and improved perfusion and permeability [213]. Current 3D bioprinting methods used to directly fabricate vasculature include extrusion bioprinting, inkjet bioprinting, and light-assisted bioprinting which offer options to directly print a cell-laden bioink in a continuous fashion as opposed to sacrificial molding and cell sheet stacking [213]. This portion of the review will focus on extrusion-based bioprinting of vascular constructs that are not printed simultaneously with bone or cartilage. Composite tissues are covered in sections 3.5 and 3.6.

Materials used in 3D bioprinting of vasculature

In extrusion-based bioprinting of vasculature, materials must be carefully chosen to stimulate EC proliferation but be permeable enough to allow for diffusion of nutrients through the construct [32]. Of the articles reviewed, 91% used a hollow, co-axial nozzle to directly extrude hydrogel into perfusable channels which were then stabilized via ionic-, photo-, or thermal-crosslinking methods (Table 3). The addition of growth factors such as vascular endothelial growth factor (VEGF; 1 µg/ml) and basic fibroblast growth factor (FGF-2; 1 µg/ml) into the bioink has also been used and shown to enhance vasculogenesis [163].

Table 3 Vasculature 3D bioprinting: materials, cells and characterizations

Out of all reported materials, GelMA was the most common hydrogel (55%), while sodium alginate was used in 45% of studies (Table 3 and Supplemental Data). However, most studies employed a mixture of the two-plus other materials [5, 37, 86, 135, 168, 195]. Other materials used include collagen (27%) [5, 135, 168], xanthan gum (9%) [135], glycerol (9%) [195], hyaluronic acid (9%) [195], gelatin (18%) [5, 195], and gellan gum (9%) [5]. GelMA is a popular choice due to its ability to support cellular proliferation and maintain structural integrity [213]. Though GelMA can be used on its own, it has also been combined with sodium alginate or gelatin to improve the mechanical properties and biocompatibility of the hydrogel [111]. For example, Xu et al. used a blended bioink composed of GelMA supplemented with hyaluronic acid, glycerol, and gelatin to improve printability and physical stability [195].

Cells used in 3D bioprinting of vasculature

ECs are the primary cell type that constitutes the internal lining of blood vessels and are thus crucial for vasculature bioprinting. For use in 3D bioprinting, these cells are typically obtained from the human umbilical vein and are known as human umbilical vein endothelial cells (HUVECs; 73% of studies; Table 3). Other types of ECs have also been used, such as human dermal microvascular endothelial cells [5]. Thus, every construct reviewed utilized ECs, but the source of cells (i.e. human dermal microvascular or umbilical vein) differed between studies.

Supportive cells are also frequently incorporated into vascular bioinks. MSCs promote the growth and proliferation of ECs and can differentiate into vascular smooth muscle cells (SMCs), forming the tunica media of larger vessels [27, 86, 182]. MSCs were present in 45% of the constructs reviewed [27, 37, 86, 168, 182]. SMCs are also used to form the muscular tunica media of larger vessels [68, 195], but constructs did not combine both SMCs and MSCs. Some groups also utilized fibroblast cells in bioink preparation, which can further aid in angiogenesis through the production of VEGF and other growth factors [16, 49, 68, 135]. Fibroblasts were present in 36% of articles reviewed, however, much like ECs, they were derived from different sources, resulting in the lack of a uniform standard by which to evaluate construct success. For example, De Moor et al. utilized human foreskin fibroblast cells in culture [49], while Attalla et al. utilized mouse 3T3 fibroblast cells [16], however, neither of these are endogenous vascular fibroblasts [9].

Vasculature construct testing

Once the vascular construct has been printed, a live/dead viability assay is typically performed to determine the viability of the printed cells. Out of all papers reviewed in this section, 82% utilized a live/dead viability assay to assess the cell survival of the printed construct [5, 27, 37, 49, 68, 86, 182]. Some groups also performed IHC and RT-qPCR to determine gene expression levels of angiogenesis and vascular-related proteins such as CD31 or VEGF [27, 49]. Tensile and perfusion testing was also done to determine the durability of the vasculature. Of the studies reviewed, 55% performed compressive and tensile mechanical testing to ensure the durability of their vascular grafts to lateral strain.

A few groups have developed novel testing methods. For example, Xu et al. (2020) demonstrated the flexibility and strength of their bioprinted construct by cutting and suturing them together [195]. They also printed ECs and SMCs that were separately pre-labelled with green and red fluorescent dyes and used fluorescence microscopy to demonstrate their ability to maintain layer specificity in culture [195]. This demonstrated the creation of multi-layered vascular channels that, in the future, can also be potentially cut and sutured in vivo to repair a defect which is critical for implementing 3D printing in a surgical setting. Shanjani et al. constructed a nutrient diffusion test using food coloring to demonstrate the functionality of their construct to perfuse nutrients across the vascular channel by measuring change in color of the fluid outside of the vessel over time [168]. De Moor et al. performed IHC staining for Ki67, type IV collagen, and VEGF which stain for cell proliferation and vascular components [49].

Notable bioprinted vascular constructs

Jia et al., used a bioink blend containing GelMA, sodium alginate, and polyethylene glycol tetra-acrylate (PEGTA) laden with HUVECs and MSCs and a multilayered coaxial extrusion system to directly bioprint perfusable vessels (burst pressure not tested) of different sizes [86]. By varying the composition of the hydrogel and with the addition of PEGTA, they measured the viscosity and rheological properties using a rotational rheometer to choose an ideal mix depending on printability. They chose a blend composed of 7% GelMA, 3% alginate, and 2% PEGTA which provided good printability and cell adhesion conditions given the intrinsic properties of GelMA. Given that thicker vessel walls may block transport of nutrients, they chose an extrusion nozzle made of a 20G internal needle and a 30G external needle. Given these parameters, they were able to directly print viable vasculature in one step, tested via live/dead® viability assay. Cells survived in vitro and proliferated up to 21 days, but the overall construct declined in compressive function due to degradation of GelMA within the vessel [86].

Only one study implanted a 3D bioprinted vessel into living tissue [49]. De Moor et al. bioprinted pre-vascularized spheroids that could be fused together to create larger vascularized capillary networks. Spheroids were then implanted into chicken chorioallantoic membranes and then incubated (Fig. 8; [49]). After 8 days of incubation, there was evidence of branching of the microvessels within the chorioallantoic membranes towards the prevascularized spheroids and a higher degree of vascularization compared to similarly implanted control, non-vascularized spheroids. This is an innovative example of purely vascular bioprinting that has demonstrated integration with living animal tissue.

Fig. 8
figure 8

Functional evaluation of prevascularized spheroid-laden bioprinted scaffolds by a CAM-assay

a Overview of bioprinted sample on the CAM, scale bar = 5 mm. b Macroscopic and stereomicroscopic images of empty scaffolds and spheroid-laden scaffolds on the CAM. Overview scale bars = 5 mm and magnification scale bars = 500 µm. c Details of spheroid-laden scaffolds on the CAM. Branching of CAM microvessels and inosculation of CAM microvasculature with the spheroids (indicated by the black arrows). Scale bars = 200 µm. Reprinted with permission from Biofabrication [49]

3D bioprinted vessels conclusion

3D bioprinting of free-standing vascular constructs is still in its infancy. Most constructs are still being optimized and are not ready to be implanted in vivo simply because they have not been tested for long enough in vitro with optimized materials and printing methods. More care must be taken to ensure durability and perfusion of these constructs before they progress to animal models. With long-term testing, researchers should also explore testing physiological responses such as vasoconstriction in response to pharmacologic agents or ability to carry out immunological function. Nonetheless, it is important to select materials and cells that support angiogenesis and vasculogenesis in creating vascularized osteochondral models, as vasculature allows for larger-scale osteochondral implants. Considerations should be made to ensure that materials are compatible and that vasculature can penetrate through cortical bone. Since there have been so few in vivo studies utilizing bioprinted vasculature, this needs to be greatly expanded and animal studies on long-term ramifications of bioprinted vasculature must be conducted in order to perfect this crucial portion in orthoregeneration.

3D bioprinting of composite tissues

Bone and cartilage – osteochondral tissue

An osteochondral structure includes a cartilage phase overlying a bony phase with an interface between the two. Osteochondral defects are notably difficult to heal due partly to the difference in the healing ability of subchondral bone and cartilage as well as the complex nature of the bone-cartilage interface [52]. Such composite tissues present unique challenges to tissue engineers who must seek to replicate this interface as well as develop complex tissues with varied zonal architecture and cell signaling gradients [10] which could be addressed with 3D bioprinting [165].

When selecting bioink materials for heterogeneous constructs, it is important to consider the native (ECM) composition of each selected cell type. Of the 10 primary articles describing the development of an osteochondral structure, all employed extrusion-based hydrogel bioprinting. Natural biomaterials included silk fibroin, an animal polymer with modifiable side chains to increase stiffness or enhance biocompatibility [125]. Alginate and gelatin derivatives were used in 70% of included osteochondral papers as they aid in cell encapsulation, which facilitates the development of distinct tissue phases [4, 39, 51, 60, 95, 109, 165]. However, they are suboptimal for supporting human cell proliferation and function and have unpredictable mechanical properties [45, 190] (Table 4).

Table 4 Osteochondral 3D bioprinting: materials, cells and characterizations

Hybrid biomaterials combining natural, synthetic, and ceramic materials were featured in 70% of osteochondral composite articles and present unique opportunities to engineer constructs with a wide range of modifiable attributes, including stiffness and construct geometry. Natural polymers provide optimal environments for cell attachment and growth while synthetic substrates, including PCL and PLA featured in 50% of papers, can lend mechanical durability [39, 89, 109, 165, 169]. Ceramic biomaterials, such as calcium phosphate cement, were used in 50% of articles and were mostly selected for their mechanical rigidity [51, 60, 89, 95, 131]. However, it is important to note that compression measurements varied between 260 kPa and 7.17 MPa and were not assessed in comparison to native tissue [39, 60].

Bioink and osteochondral construct characterization

Selecting robust, load-bearing materials is a priority in developing implants with near-native mechanical properties, thus 80% of articles included mechanical assessment [4, 39, 51, 60, 109, 131, 165, 169] and the remaining 20% referenced physical characterization data from previously performed experiments [89, 95]. Bioink rheology was studied in 30% of articles [51, 60, 131] while degradation and rheology were mentioned in 20% of papers [39, 51]. Compression was the most commonly used method of mechanical characterization at 60% [4, 39, 51, 60, 109, 165]. It was found that encapsulating MSC-laden PCL microcarriers in GelMA-gellan gum bioinks significantly improved the compressive modulus from 27 kPa in the bone compartment of osteochondral constructs with 0 mg/mL microcarriers compared to over 50 kPa in constructs with maximum concentration, 50 mg/mL, of microcarriers [109]. Meanwhile, incorporating 5% silk fibroin in GelMA ink yields a compressive strength up to 260 kPa, over three times greater than that of GelMA alone [51]. We found a large degree of overlap between the methods used to characterize osteochondral constructs and those used for both bone and cartilage constructs, described previously (sections 3.2 and 3.3, respectively).

Cells used in 3D bioprinting osteochondral structures

Much like in the engineering strategies utilized to bioprint individual bone and cartilage, MSCs were the most commonly used cell type for osteochondral structures (Table 4). Cell origins included humans (60%) [4, 60, 89, 95, 165, 169] and mammals, including rats (10%)[109], rabbits (10%) [51], goats (10%) [39], and pigs (20%) [39, 131]. While all but one paper utilized a single cell type, Deng et al. developed a biphasic scaffold with an upper layer of rabbit chondrocytes and lower layer of rabbit bone marrow-derived MSCs and grown in static culture in single media formulation [51]. Interestingly, no papers reported the use of bioreactors for construct culture.

Researchers tended to select non-human cells for in vivo studies, likely to avoid graft rejection and the use of costlier humanized or immune deficient animal models. A greater proportion of papers using non-human animal cells reported implanting constructs into animal joints [39, 51, 131] compared to papers using hMSCs [60, 169]. Interestingly, human constructs implanted in knee joints of New Zealand white rabbits, an immune-competent model, did not elicit any observable inflammatory response, which is consistent with the immunoprivileged nature of cartilage [14, 169].

Testing of 3D bioprinted osteochondral structures

The viability of cells after being extruded from a nozzle is a priority to tissue engineers as cell death can ultimately lead to the failure of a construct. Thus, 90% of papers described viability testing, including live/dead staining (80%) [4, 51, 60, 89, 95, 109, 165, 169] and DNA quantification (10%) [131]. To confirm the development of distinct bone and cartilage tissue, histology was performed in 40% of articles [89, 95, 109, 169]. After 3 weeks in culture, alginate-methylcellulose-encapsulated cells underwent differentiation into respective lineages and secreted appropriate ECM components in a biphasic structure with distinct articular cartilage and subchondral bone layers as measured by the relative expression (qPCR) of type II collagen (COL2A1), aggrecan (ACN), cartilage oligomeric matrix protein (COMP), type I collagen (COL1A1), and type X collagen (COL10A1) [95]. Bioinks were further refined by modifying calcium and phosphorus concentrations, which resulted in a third calcified cartilage region with similar mineral content to a native osteochondral interface [95].

Other in vitro assessments include microscopy to evaluate cell morphology via cytoskeletal staining (20%) [4, 95], and immunohistochemistry to measure type X collagen, type II collagen, osteocalcin, osteonectin, and hypoxia inducible factor 1α expression (40%) [39, 60, 131, 169]. An example of the variety of in vitro testing methods for osteochondral structures is the work by Moses and colleagues, they constructed implants using silk-based nanocomposite bioinks in both the bone and cartilage phases [131]. They demonstrated a heterogenous, well-demarcated osteochondral interface via IHC for type X collagen, and biochemical analyses quantifying alkaline phosphatase activity indicative of osteoblast activity in the bone phase, total collagen content, and total s-glycosaminoglycan activity [131]. Further, doping nano-apatites with strontium, activated hypoxia-inducible factor 1α-related gene expression in hypoxia-primed porcine MSCs and suppressed prostaglandin synthesis, which biased the immune response toward a more graft-tolerant M2 macrophage lineage. After 14 days post-implantation, sections stained positively for CD206, an M2 macrophage lineage marker. Stimulation using murine macrophages in vitro showed a decrease in IL-1β release in strontium-containing constructs compared to those without [131].

In vivo studies were featured in 40% of osteochondral articles [39, 51, 60, 169]. Most in vivo studies (75%) involved implanting the construct into a defect in a rodent knee [39, 51, 169]. For example, constructs engineered using bioinks supplemented with TGFβ1 and BMP2 to encourage chondrogenesis and osteogenesis, respectively, were implanted into a rabbit knee defect model and demonstrated smoothly integrated neo-cartilage production [169]. This integrated neo-cartilage was demonstrated by distinct lacuna structures beneath the cartilage phase, and a thin layer of COL-X-staining calcified cartilage defined the interface between cartilage and bone [169]. After 6 months of implantation into 6 mm x 6 mm critically-sized adult goat medial femoral condyle defects, biphasic constructs composed of alginate, agarose, bone marrow MSCs, and infrapatellar fat pad-derived stem cells reinforced with PCL fibers promoted hyaline-like cartilage repair. However, it is important to note that there was significant variability between constructs with matrix staining and ICRS scores deviating up to 28% from the mean [39].

After 6 and 12 weeks of implantation in rabbit knees, Deng and colleagues observed no observable elevations in pro-inflammatory cytokines TNFα and IL-1β in peripheral blood using standard ELISAs, a promising sign that constructs developed with patient-specific cells will be well-tolerated [52]. While implants have not demonstrated immunogenicity or inflammatory responses in immune-deficient animal models, immune tolerance is worth further investigation and will likely be a key consideration in regulatory approval as 3D bioprinting technology moves closer to the clinic [56].

Bone and cartilage composite conclusion

Together, these studies suggest clinical feasibility and cellular integration of constructs are possible on a small-scale, approximately 5cm3, though challenges remain in developing larger constructs intended for human clinical application. Multiple groups have noted a lack of abundant osteogenic tissue formation and ECM at the center of constructs, which has been attributed to lack of nutrient and gas perfusion at these sites, highlighting a need for graft vascularization in order to reach clinical scale [4, 60, 89]. Because future osteochondral prostheses may potentially be used in the replacement of large, load-bearing joints, the same concerns over standardization of mechanical characterization of both materials and bioprints raised earlier in section 3.2.2 apply.

Bone and vasculature

An integrated vasculature is essential for large segment bone regeneration and survival as blood vessels function as a conduit of oxygen, nutrients, and waste. Cells in the innermost zones of 3D bioprinted bone constructs often undergo rapid necrosis as there is limited diffusion of nutrients from the surrounding medium beyond 400 µm [63]. A successful 3D bioprinted vasculature is one that not only allows for transfer of materials through a tissue but also stimulates integration of host tissues via cell signaling and the generation of a pro-osteogenic microenvironment. All vascular bone articles included in this review utilized extrusion-based bioprinting [27, 33, 35, 46, 64, 102, 106, 108, 141, 148, 151, 199], likely due to the large degree of control it provides over cell distribution and vascular networks within a construct as well as the structural complexity it allows. Thus, the development of a highly complex integrated vasculature in a bony structure is perhaps the greatest obstacle to overcome in bone tissue engineering.

Materials used in 3D bioprinting of vascular bone

Cell differentiation into either osteogenic or angiogenic lineages depends on a variety of pathways and highlights the synergistic relationship between regenerating bone and vascular tissue. 3D bioprinting allows engineers to leverage the integral role the tissue microenvironment plays in determining cell fate as extracellular matrix materials enable the controlled release of growth factors via encapsulation or chemical conjugation [31, 116, 153].

Much like reports of 3D bioprinted bone, vascular bone articles also commonly included synthetic materials aimed at enhancing mineral deposition and osteogenesis, such as laponite [35], hydroxyapatite [106, 141] and modified silicate [27, 33] (Table 5). However, no articles evaluated the relationship between mechanical stiffness and vascular proliferation. Hybrid materials were used in 58% of papers [27, 33, 35, 64, 102, 106, 141]. In particular, constructs printed using polydopamine-modified calcium silicate, laponite, PCL, and hydrogels such as GelMA, alginate, and gelatin showed Young’s modulus up to 20 kPa, an order of magnitude softer than bone, and enhanced osteogenesis as seen by microscopy [35]. Fibrin, a fibrous protein which promotes endothelial cell proliferation and angiogenesis, was used in two articles (17%) [141, 151]. Growth factors such as BMP-2 [148] and VEGF [27, 64] were separately added to inks in 25% of articles to enhance cell differentiation into osteogenic or vasculogenic cell phenotypes, respectively. Growth factor release profiles were designed through selection of ink materials and modification of support material concentration. In one study, sustained release of BMP2 was achieved from a boney phase of 2% w/v type I collagen hydrogel while burst release of VEGF was accomplished using 10% w/v alginate 10% gelatin hydrogel [148].

Table 5 Vascularized bone 3D bioprinting: materials, cells and characterizations

Bioink and vascular bone construct characterization

Seventy-five percent of vascular bone papers performed experiments to characterize constructs’ mechanical properties [33, 35, 46, 64, 106, 108, 141, 151]. Rheology was the most frequently used bioink characterization technique with 42% of studies describing viscoelastic behavior and print fidelity, which are particularly important in the maintenance of tube-like vessels within larger bone structures [35, 64, 108, 151]. Scanning electron microscopy was performed in 17% of papers to characterize print fidelity and construct architecture by pore size and strand diameter [141, 151]. Only one article described constructs’ ability to release molecules (VEGF) into surrounding media in a controlled fashion over at least 14 days after printing [64].

An integrated vasculature which facilitates a steady flow of nutrients, growth factors, oxygen, and removal of waste through a construct should promote cell growth and viability and, therefore, potentially greater mechanical strength [105]. However, mechanical testing was only performed in 17% of vascular bone articles [46, 151]. Piard and colleagues developed a fibrin-poly(caprolactone) bioink with a compressive modulus of 131 ± 23 MPa, which is comparable to that of cortical bone [151]. Daly et al. reported a Young’s modulus in compression of 69 ± 15 kPa in microchanneled MSC-laden methacrylated hydrogel constructs but did not compare it to native bone structures or compare their structure to a similar avascular structure [46].

Cells used in 3D bioprinting of vascular bone

One-third of studies leveraged the common mesodermal origin of vasculature and bone by using a single cell type, MSCs, in bioinks [35, 46, 64, 102] (Table 5). The remaining articles printed constructs with two or three cell types, opting to utilize co-axial printing systems and multiple inks [27, 33, 106, 108, 141, 148, 151, 196]. Non-human cells were derived from rats and pigs and included MSCs and adipose stromal vascular fraction cells [46, 64, 102]. Human cells were used most frequently (75%) [27, 33, 35, 108, 141, 148, 151, 196]. Notably, human umbilical vein endothelial cells were the only endothelial cell type found in composite constructs and featured in 42% of articles [27, 33, 108, 141, 151].

While not all constructs were made from bioinks containing endothelial cells, each construct was made using at least one mesodermal cell type. Some groups encapsulated mesodermally-derived cells in pro-osteogenic nanoclay laponite [35] or added them to inks with pro-osteogenic or pro-angiogenic growth factors [27, 64, 148]. This highlights the ability of 3D bioprinting to create spatiotemporal environments which promote differentiation into tissue-appropriate lineages. Interestingly, there were few, if any, mentions of cell selection based on intercellular signaling between vessel and bone phases, despite an understanding of the role of signaling in the proliferation of both tissues in native joints [172]. Further, no significant modifications to the composition of culture medium were made nor were bioreactors used despite aiming to support a more biologically complex structure.

In vivo testing of 3D bioprinted vascular bone

Among the six articles which reported findings from in vivo studies, half assessed vascularization following subcutaneous implantation in rodents [148, 151] or a chick chorioallantoic membrane model [35]. The remaining half involved implanting constructs into full-thickness bone defects [46, 64, 141]. Piard and colleagues printed hMSC- and HUVEC-laden hydrogels in biomimetic osteon-like patterns which showed neovascularization after 7- and 14-days post-implantation into subdermal spaces in Sprague Dawley rats [151]. They believe that engineering a construct with a microarchitecture similar to that of native bone osteons improves paracrine signaling between MSCs, resulting in greater endothelial cell infiltration [151]. While the authors showed a marked increase in endothelial proliferation in osteon-like constructs, the exact role of geometric design was not elucidated.

Park et al. engineered a 176 mm3 structure using two bioinks: one containing human dental pulp stem cells combined with BMP-2 to drive bone regeneration in the periphery and another containing dental pulp stem cells combined with VEGF in the hypoxic center to induce angiogenesis [148]. This design effectively induced vasculogenic and osteogenic differentiation as seen by microscopy, which showed filopodia- and tube-like structures indicative of growing vascular networks [148]. When implanted in a rat with a critical-size cranial defect and harvested after 28 days, dual-BMP-2 and VEGF constructs developed microvessels in the hypoxic area as well as vessel invasion from surrounding native tissue [148].

Kuss et al. demonstrated the benefit of short-term hypoxic pre-conditioning of heterogeneous stromal vascular fraction cell-laden constructs on vascular integration into existing subdermal murine vasculature without negatively affecting osteogenesis [102]. While hypoxic pre-conditioning demonstrated enhanced vascular integration by upregulating VEGF and hypoxia-inducible factor 1α gene expression, subjecting mesenchymal cells to hypoxia had a variable effect on osteogenic differentiation which should be further explored [102, 131].

Further proof-of-concept studies were performed using models of full-thickness segmental bone defects. HUVECs and human bone marrow-derived MSCs were combined in a fibrin-based hydrogel, bioprinted and subsequently allowed to pre-vascularize in vitro for 7-days [141]. Constructs were then press-fitted into critically-sized (5 mm long) femoral defects in rats and demonstrated increased neovascularization measured via microCT angiography which in turn supported new bone formation [141] (Fig. 9). Freeman and colleagues added nanoparticles to bioinks to establish spatiotemporal growth factor release gradients within constructs then performed similar in vivo studies which demonstrated increased vessel volume, thickness, and connectivity within defect sites two weeks post-implantation [64].

Fig. 9
figure 9

PCL/hydroxyapatite prevascularized femoral defect study

a Porous PCL scaffold design. Two PCL scaffolds were bioprinted; both were 4 mm in diameter and 5 mm high and coated with nano-hydroxyapatite. One scaffold was left empty whilst the other was filled with prevascularized scaffold bioink. b SEM images depicting nHA coating and confocal image of microvessels within scaffolds. Scale bar in images i, ii, iii and iv 100 μm, 2 μm, 200 nm and 50 μm, respectively. c Images highlighting rat femoral defect location and X-ray and μCT images showing defect dimensions. d Schematic outlining surgical procedure. Reprinted with permission from [141]

Vascularized bone conclusion

As is the case for any implant, immunogenicity and host tolerance must be established before clinical use. Among the papers reviewed, only a single group assessed host immune cell invasion into a construct, via tartrate resistant acid phosphatase staining of constructs 8 weeks after implantation [46]. They suggested it supported bone healing while limiting heterotopic bone formation. However, the tartrate resistant acid phosphatase assay is commonly used to determine osteoclast activity [197]. Future studies may benefit from determining the extent to which an integrated vasculature facilitates immune system-driven bone healing and remodeling in the context of a bone lesion, particularly one with integrated conduits through which immune cells can travel to bone. Growth factors or pro-differentiation small molecules, which may themselves exert their effects via immune modulation, were used in 25% of publications reviewed in this section [35, 64, 148].

While significant steps have been made toward developing vascularized bone, notable obstacles remain between the laboratory and clinic. 3D bioprinting lends a high degree of control over vascular network patterning during the design and initial building of the construct. To date, there have been no reports on the use of extrusion bioprinting to generate capillary networks due to their small size. The generation of capillary networks for the gas and nutrient exchange on a microscopic scale would rely on de novo angiogenesis post-implantation. Importantly, no studies have evaluated how vascular networks within the construct change after implantation into an animal. Because these structures demonstrate a capacity for vascular proliferation, attributes such as vessel wall integrity and rate of angiogenesis should be determined over time to ensure there is no aberrant vessel growth or fistula formation which could lead to unintended hematological consequences. Overall, the literature suggests that incorporating a vascular network in bony constructs is beneficial not only in maintaining cell survival at the center of constructs by delivering nutrients and exchanging gasses but also enhancing osteogenic differentiation and integration into native tissue.

Overall conclusion

At almost 20 years old, bioprinting is a young field which is fast becoming a nascent area of research. While a number of successful efforts toward generating individual joint components have been demonstrated, the road toward engineering complex tissues and composite implants for clinical use in articular joint or bone regeneration is not without obstacles to overcome. To facilitate translation to the clinic, standardized quality control metrics such as cell survival and construct stiffness should be established. Artificial intelligence- and machine learning-based methods have been used to determine the relationship between atelocollagen ink elastic modulus and yield stress to create a bioink library for optimizing mechanical and rheological properties for improved printability [107]. Environmental conditions such as temperature and humidity can affect the printing process and the integration of machine learning algorithms can detect and adapt to changes in printing parameters such as fiber spacing and extrusion pressure in real time, enabling large-scale adaptive, quality-controlled manufacturing processes can be enabled [216].

Customized 3D printed functional living constructs will likely have spatiotemporally defined patterns of ECM, growth factors, and cells and must be tested for long-term viability (months to years) in large non-human animal models. While new biologics are already subject to close regulatory scrutiny [154], it is unclear how regulatory bodies will apply or adapt existing laws to additive manufacturing technologies that are patient-specific and may even be manufactured in situ. Further, existing legislation, including the 2016 21st Century Cures Act in the United States [23], has little coverage over product manufacturing processes with large computer-aided design software components and must address construct validation and reliability.

To facilitate translation to clinical use, critical measures such as long-term tissue viability and biologically equivalent construct biomechanical properties have yet to be definitively demonstrated in the field of bioprinting. Human scale vascularized osteochondral constructs with defect-matching geometry should have integrative material properties to enable repair and regeneration. This strategy would forgo donor site morbidity and provide a patient specific reconstructive option, representing the holy grail of tissue engineering.

To date, bioprinted structures have only been transplanted into a small number of patients and, at the time of writing, there is only one active clinical trial examining the safety and efficacy of a 3DBP graft [1, 183]. In order to meet the growing demand for novel joint regeneration methods, key players in research and development must frequently interface with regulators to close policy gaps before large-scale trials can proceed in humans. It appears likely that patient-specific grafts will be generated using autologous cells. The potential use of cells from other sources e.g. porcine with HLA markers genetically removed as we’ve seen in organ transplants is exciting [103]. Such grafts must demonstrate clear benefit, both medically and economically, over existing arthroplasty methods. Challenges identified include: manufacturing – producing a reproducible but customizable tissue; regulatory framework needs to be clearly delineated and openly discussed; funding – musculoskeletal disease is critically underfunded, additionally long term and orphan research trials and translation will need significant support; clinician support/interest, clinical stakeholders need to be actively engaged in these efforts. While there is much work to be done, 3D bioprinted implants have great clinical potential to treat trauma and degenerative joint diseases thereby providing benefit to patients globally.



3D bioprinting or 3D bioprinted


Articular cartilage progenitor cells


Bone morphogenetic protein


Bone marrow derived mesenchymal stromal cells


Computed tomography


Endothelial cells


Extracellular matrix


Growth differentiation factor 5


Gelatin methacrylate


Graphene oxide


Hyaluronic acid methacrylate


Human adipose derived stem/stromal cells


Human dental pulp stem/stromal cells


Human leukocyte antigen


Human mesenchymal stromal cells


Human vascular endothelial cells


Induced pluripotent stem cells


Lithium phenyl-2,4,6-trimethylbenzoylphosphinate (a photoinitiator)


Matrix metalloproteinase


Magnetic resonance imaging


Mesenchymal stromal cells


Mesoporous silica nanoparticles




 Poly(ethylene glycol)


Poly(ethylene glycol) dimethacrylate


Poly(ethylene glycol) methacrylate


Poly(ethylene glycol) tetra-acrylate


Positron emission tomography


Poly(lactic acid)


Poly(lactic-co-glycolic acid)


Quantitative polymerase chain reaction (also RT-qPCR)


Arginine-glycine-aspartic acid peptide sequence


Scanning electron microscopy


 Transmission electron microscopy


Transforming growth factor beta 1


Microcomputed tomography


Vascular endothelial growth factor


  1. 3DBio Therapeutics (2021) A multicenter, single arm, prospective, open-label, staged study of the safety and efficacy of the AuriNovo construct for auricular reconstruction in subjects with unilateral microtia. Clinicaltrials. Accessed 22 July 2022

  2. Afghah F, Altunbek M, Dikyol C, Koc B (2020) Preparation and characterization of nanoclay-hydrogel composite support-bath for bioprinting of complex structures. Sci Rep Nature Publishing Group 10:5257

    CAS  Google Scholar 

  3. Ahlfeld T, Cidonio G, Kilian D, Duin S, Akkineni AR, Dawson JI, Yang S, Lode A, Oreffo ROC, Gelinsky M (2017) Development of a clay based bioink for 3D cell printing for skeletal application. Biofabrication 9:034103

    Article  CAS  PubMed  Google Scholar 

  4. Ahlfeld T, Doberenz F, Kilian D, Vater C, Korn P, Lauer G, Lode A, Gelinsky M (2018) Bioprinting of mineralized constructs utilizing multichannel plotting of a self-setting calcium phosphate cement and a cell-laden bioink. Biofabrication 10:045002

    Article  PubMed  CAS  Google Scholar 

  5. Akkineni AR, Ahlfeld T, Lode A, Gelinsky M (2016) A versatile method for combining different biopolymers in a core/shell fashion by 3D plotting to achieve mechanically robust constructs. Biofabrication 8:045001

    Article  PubMed  CAS  Google Scholar 

  6. Amini AR, Laurencin CT, Nukavarapu SP (2012) Bone tissue engineering: recent advances and challenges. Crit Rev Biomed Eng 40:363–408

    Article  PubMed  PubMed Central  Google Scholar 

  7. Amler A-K, Dinkelborg PH, Schlauch D, Spinnen J, Stich S, Lauster R, Sittinger M, Nahles S, Heiland M, Kloke L, Rendenbach C, Beck-Broichsitter B, Dehne T (2021) Comparison of the Translational Potential of Human Mesenchymal Progenitor Cells from Different Bone Entities for Autologous 3D Bioprinted Bone Grafts. IJMS 22:796

    Article  CAS  PubMed Central  Google Scholar 

  8. Amorim PA, d’Ávila MA, Anand R, Moldenaers P, Van Puyvelde P, Bloemen V (2021) Insights on shear rheology of inks for extrusion-based 3D bioprinting. Bioprinting 22:e00129

    Article  Google Scholar 

  9. An SJ, Liu P, Shao TM, Wang ZJ, Lu HG, Jiao Z, Li X, Fu JQ (2015) Characterization and Functions of Vascular Adventitial Fibroblast Subpopulations. Cell Physiol Biochem Karger Publishers 35:1137–1150

    Article  CAS  Google Scholar 

  10. Ansari S, Khorshidi S, Karkhaneh A (2019) Engineering of gradient osteochondral tissue: From nature to lab. Acta Biomater 87:41–54

    Article  CAS  PubMed  Google Scholar 

  11. Antich C, de Vicente J, Jiménez G, Chocarro C, Carrillo E, Montañez E, Gálvez-Martín P, Marchal JA (2020) Bio-inspired hydrogel composed of hyaluronic acid and alginate as a potential bioink for 3D bioprinting of articular cartilage engineering constructs. Acta Biomater 106:114–123

    Article  CAS  PubMed  Google Scholar 

  12. Armstrong JPK, Burke M, Carter BM, Davis SA, Perriman AW (2016) 3D Bioprinting Using a Templated Porous Bioink. Adv Healthc Mater 5:1724–1730

    Article  CAS  PubMed  Google Scholar 

  13. Arrigoni C, Camozzi D, Remuzzi A (2006) Vascular tissue engineering. Cell Transplant 15:S119–S125 (Sage Publications Inc, Thousand Oaks)

    Article  PubMed  Google Scholar 

  14. Arzi B, DuRaine GD, Lee CA, Huey DJ, Borjesson DL, Murphy BG, Hu JCY, Baumgarth N, Athanasiou KA (2015) Cartilage immunoprivilege depends on donor source and lesion location. Acta Biomater 23:72–81

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Atsumi T, Ikawa Y, Miwa Y, Kimata K (1990) A chondrogenic cell line derived from a differentiating culture of AT805 teratocarcinoma cells. Cell Differ Dev 30:109–116

    Article  CAS  PubMed  Google Scholar 

  16. Attalla R, Puersten E, Jain N, Selvaganapathy PR (2018) 3D bioprinting of heterogeneous bi- and tri-layered hollow channels within gel scaffolds using scalable multi-axial microfluidic extrusion nozzle. Biofabrication 11:015012

    Article  PubMed  CAS  Google Scholar 

  17. Bagheri A, Jin J (2019) Photopolymerization in 3D Printing. ACS Appl Polym Mater American Chemical Society 1:593–611

    Article  CAS  Google Scholar 

  18. Barradas AMC, Yuan H, van Blitterswijk C, Habibovic P (2011) Osteoinductive biomaterials: current knowledge of properties, experimental models and biological mechanisms. Eur Cell Mater 21:407–429

    Article  CAS  PubMed  Google Scholar 

  19. Bendtsen ST, Quinnell SP, Wei M (2017) Development of a novel alginate-polyvinyl alcohol-hydroxyapatite hydrogel for 3D bioprinting bone tissue engineered scaffolds. J Biomed Mater Res 105:1457–1468

    Article  CAS  Google Scholar 

  20. Bertassoni LE, Cecconi M, Manoharan V, Nikkhah M, Hjortnaes J, Cristino AL, Barabaschi G, Demarchi D, Dokmeci MR, Yang Y, Khademhosseini A (2014) Hydrogel bioprinted microchannel networks for vascularization of tissue engineering constructs. Lab Chip 14:2202–2211

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Bertlein S, Brown G, Lim KS, Jungst T, Boeck T, Blunk T, Tessmar J, Hooper GJ, Woodfield TBF, Groll J (2017) Thiol-Ene Clickable Gelatin: A Platform Bioink for Multiple 3D Biofabrication Technologies. Adv Mater 29:1703404

    Article  CAS  Google Scholar 

  22. Bittner SM, Smith BT, Diaz-Gomez L, Hudgins CD, Melchiorri AJ, Scott DW, Fisher JP, Mikos AG (2019) Fabrication and mechanical characterization of 3D printed vertical uniform and gradient scaffolds for bone and osteochondral tissue engineering. Acta Biomater 90:37–48

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Bonamici S (2016) H.R.34 - 114th Congress (2015–2016): 21st Century Cures Act. Legislation. Accessed 22 July 2022

  24. Breathwaite E, Weaver J, Odanga J, dela Pena-Ponce M, Lee JB, (2020) 3D Bioprinted Osteogenic Tissue Models for In Vitro Drug Screening. Molecules 25:3442

    Article  CAS  PubMed Central  Google Scholar 

  25. Brookes M, Revell WJ (1998) Nutrient vessels in long bones. In: Revell WJ (ed) Brookes M. Blood Supply Bone Sci Asp Springer, London, pp 7–22

    Google Scholar 

  26. Buckley CT, Thorpe SD, O’Brien FJ, Robinson AJ, Kelly DJ (2009) The effect of concentration, thermal history and cell seeding density on the initial mechanical properties of agarose hydrogels. J Mech Behav Biomed Mater 2:512–521

    Article  PubMed  Google Scholar 

  27. Byambaa B, Annabi N, Yue K, Santiago GT, Alvarez MM, Jia W, Kazemzadeh-Narbat M, Shin SR, Tamayol A, Khademhosseini A (2017) Bioprinted Osteogenic and Vasculogenic Patterns for Engineering 3D Bone Tissue. Adv Healthc Mater 6:1700015

    Article  CAS  Google Scholar 

  28. Carano RAD, Filvaroff EH (2003) Angiogenesis and bone repair. Drug Discov Today 8:980–989

    Article  CAS  PubMed  Google Scholar 

  29. Carlier A, Skvortsov GA, Hafezi F, Ferraris E, Patterson J, Koç B, Van Oosterwyck H (2016) Computational model-informed design and bioprinting of cell-patterned constructs for bone tissue engineering. Biofabrication 8:025009

    Article  PubMed  CAS  Google Scholar 

  30. Chawla S, Midha S, Sharma A, Ghosh S (2018) Silk-Based Bioinks for 3D Bioprinting. Adv Healthc Mater 7:1701204

    Article  CAS  Google Scholar 

  31. Chen D, Li Y, Zhou Z, Xing Y, Zhong Y, Zou X, Tian W, Zhang C (2012) Synergistic Inhibition of Wnt Pathway by HIF-1α and Osteoblast-Specific Transcription Factor Osterix (Osx) in Osteoblasts. PLoS One 7:e52948 (Samant R (ed))

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Chen EP, Toksoy Z, Davis BA, Geibel JP (2021) 3D Bioprinting of Vascularized Tissues for in vitro and in vivo Applications. Front Bioeng Biotechnol 9:664188

    Article  PubMed  PubMed Central  Google Scholar 

  33. Chen Y-W, Shen Y-F, Ho C-C, Yu J, Wu Y-HA, Wang K, Shih C-T, Shie M-Y (2018) Osteogenic and angiogenic potentials of the cell-laden hydrogel/mussel-inspired calcium silicate complex hierarchical porous scaffold fabricated by 3D bioprinting. Mater Sci Eng C 91:679–687

    Article  CAS  Google Scholar 

  34. Choe G, Oh S, Seok JM, Park SA, Lee JY (2019) Graphene oxide/alginate composites as novel bioinks for three-dimensional mesenchymal stem cell printing and bone regeneration applications. Nanoscale 11:23275–23285

    Article  CAS  PubMed  Google Scholar 

  35. Cidonio G, Alcala-Orozco CR, Lim KS, Glinka M, Mutreja I, Kim Y-H, Dawson JI, Woodfield TBF, Oreffo ROC (2019) Osteogenic and angiogenic tissue formation in high fidelity nanocomposite Laponite-gelatin bioinks. Biofabrication 11:035027

    Article  CAS  PubMed  Google Scholar 

  36. Clark JM (1991) Variation of collagen fiber alignment in a joint surface: A scanning electron microscope study of the tibial plateau in dog, rabbit, and man. J Orthop Res 9:246–257

    Article  CAS  PubMed  Google Scholar 

  37. Colosi C, Shin SR, Manoharan V, Massa S, Costantini M, Barbetta A, Dokmeci MR, Dentini M, Khademhosseini A (2016) Microfluidic Bioprinting of Heterogeneous 3D Tissue Constructs Using Low-Viscosity Bioink. Adv Mater Deerfield Beach Fla 28:677–684

    Article  CAS  Google Scholar 

  38. Costantini M, Idaszek J, Szöke K, Jaroszewicz J, Dentini M, Barbetta A, Brinchmann JE, Święszkowski W (2016) 3D bioprinting of BM-MSCs-loaded ECM biomimetic hydrogels for in vitro neocartilage formation. Biofabrication IOP Publishing 8:035002

    Article  CAS  Google Scholar 

  39. Critchley S, Sheehy EJ, Cunniffe G, Diaz-Payno P, Carroll SF, Jeon O, Alsberg E, Brama PAJ, Kelly DJ (2020) 3D printing of fibre-reinforced cartilaginous templates for the regeneration of osteochondral defects. Acta Biomater 113:130–143

    Article  CAS  PubMed  Google Scholar 

  40. Cui H, Zhu W, Huang Y, Liu C, Yu Z-X, Nowicki M, Miao S, Cheng Y, Zhou X, Lee S-J, Zhou Y, Wang S, Mohiuddin M, Horvath K, Zhang LG (2019) In vitro and in vivo evaluation of 3D bioprinted small-diameter vasculature with smooth muscle and endothelium. Biofabrication IOP Publishing 12:015004

    Article  CAS  Google Scholar 

  41. Cui X, Breitenkamp K, Finn MG, Lotz M, D’Lima DD (2012) Direct Human Cartilage Repair Using Three-Dimensional Bioprinting Technology. Tissue Eng Part A 18:1304–1312

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Cui X, Breitenkamp K, Lotz M, D’Lima D (2012) Synergistic Action of Fibroblast Growth Factor-2 and Transforming Growth Factor-beta1 Enhances Bioprinted Human Neocartilage Formation. Biotechnol Bioeng 109:2357–2368

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Cunniffe GM, Gonzalez-Fernandez T, Daly A, Sathy BN, Jeon O, Alsberg E, Kelly DJ (2017) Three-Dimensional Bioprinting of Polycaprolactone Reinforced Gene Activated Bioinks for Bone Tissue Engineering. Tissue Eng Part A 23:891–900

    Article  CAS  PubMed  Google Scholar 

  44. Daly AC, Critchley SE, Rencsok EM, Kelly DJ (2016) A comparison of different bioinks for 3D bioprinting of fibrocartilage and hyaline cartilage. Biofabrication IOP Publishing 8:045002

    Article  CAS  Google Scholar 

  45. Daly AC, Cunniffe GM, Sathy BN, Jeon O, Alsberg E, Kelly DJ (2016) 3D Bioprinting of Developmentally Inspired Templates for Whole Bone Organ Engineering. Adv Healthc Mater 5:2353–2362

    Article  CAS  PubMed  Google Scholar 

  46. Daly AC, Pitacco P, Nulty J, Cunniffe GM, Kelly DJ (2018) 3D printed microchannel networks to direct vascularisation during endochondral bone repair. Biomaterials 162:34–46

    Article  CAS  PubMed  Google Scholar 

  47. Daly AC, Prendergast ME, Hughes AJ, Burdick JA (2021) Bioprinting for the Biologist. Cell 184:18–32

    Article  CAS  PubMed  Google Scholar 

  48. De Moor L, Fernandez S, Vercruysse C, Tytgat L, Asadian M, De Geyter N, Van Vlierberghe S, Dubruel P, Declercq H (2020) Hybrid Bioprinting of Chondrogenically Induced Human Mesenchymal Stem Cell Spheroids. Front Bioeng Biotechnol 8:484

    Article  PubMed  PubMed Central  Google Scholar 

  49. De Moor L, Smet J, Plovyt M, Bekaert B, Vercruysse C, Asadian M et al (2021) Engineering microvasculature by 3D bioprinting of prevascularized spheroids in photo-crosslinkable gelatin. Biofabrication 13(4).

  50. Degen P, Paulus M, Zwar E, Jakobi V, Dogan S, Tolan M, Rehage H (2019) Surfactant-mediated formation of alginate layers at the water-air interface. Surf Interface Anal 51:1051–1058

    Article  CAS  Google Scholar 

  51. Deng C, Yang J, He H, Ma Z, Wang W, Zhang Y, Li T, He C, Wang J (2021) 3D bio-printed biphasic scaffolds with dual modification of silk fibroin for the integrated repair of osteochondral defects. Biomater Sci 9:4891–4903

    Article  CAS  PubMed  Google Scholar 

  52. Deng C, Zhu H, Li J, Feng C, Yao Q, Wang L, Chang J, Wu C (2018) Bioactive Scaffolds for Regeneration of Cartilage and Subchondral Bone Interface. Theranostics 8:1940–1955

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Dennis JE, Splawn T, Kean TJ (2020) High-Throughput, Temporal and Dose Dependent, Effect of Vitamins and Minerals on Chondrogenesis. Front Cell Dev Biol 8:92

    Article  PubMed  PubMed Central  Google Scholar 

  54. Dennis JE, Whitney GA, Rai J, Fernandes RJ, Kean TJ (2020) Physioxia stimulates extracellular matrix deposition and increases mechanical properties of human chondrocyte-derived tissue-engineered cartilage. Front Bioeng Biotechnol 8.

  55. Dubey N, Ferreira JA, Malda J, Bhaduri SB, Bottino MC (2020) Extracellular Matrix/Amorphous Magnesium Phosphate Bioink for 3D Bioprinting of Craniomaxillofacial Bone Tissue. ACS Appl Mater Interfaces 12:23752–23763

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. El-Habashy SE, El-Kamel AH, Essawy MM, Abdelfattah E-ZA, Eltaher HM (2021) 3D printed bioinspired scaffolds integrating doxycycline nanoparticles: Customizable implants for in vivo osteoregeneration. Int J Pharm 607:121002

    Article  CAS  PubMed  Google Scholar 

  57. Emmermacher J, Spura D, Cziommer J, Kilian D, Wollborn T, Fritsching U, Steingroewer J, Walther T, Gelinsky M, Lode A (2020) Engineering considerations on extrusion-based bioprinting: interactions of material behavior, mechanical forces and cells in the printing needle. Biofabrication 12:025022

    Article  CAS  PubMed  Google Scholar 

  58. Fairbanks BD, Schwartz MP, Bowman CN, Anseth KS (2009) Photoinitiated polymerization of PEG-diacrylate with lithium phenyl-2,4,6-trimethylbenzoylphosphinate: polymerization rate and cytocompatibility. Biomaterials 30:6702–6707

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Fan Y, Yue Z, Lucarelli E, Wallace GG (2020) Hybrid Printing Using Cellulose Nanocrystals Reinforced GelMA/HAMA Hydrogels for Improved Structural Integration. Adv Healthc Mater 9:2001410

    Article  CAS  Google Scholar 

  60. Fedorovich NE, Schuurman W, Wijnberg HM, Prins H-J, van Weeren PR, Malda J, Alblas J, Dhert WJA (2012) Biofabrication of Osteochondral Tissue Equivalents by Printing Topologically Defined, Cell-Laden Hydrogel Scaffolds. Tissue Eng Part C Methods 18:33–44

    Article  CAS  PubMed  Google Scholar 

  61. Filardo G, Petretta M, Cavallo C, Roseti L, Durante S, Albisinni U, Grigolo B (2019) Patient-specific meniscus prototype based on 3D bioprinting of human cell-laden scaffold. Bone Jt Res 8:101–106

    Article  CAS  Google Scholar 

  62. Finkemeier CG (2002) Bone-grafting and bone-graft substitutes. J Bone Jt Surg-Am 84:454–464

    Article  Google Scholar 

  63. Forni M, Bernardini C, Zamparini F, Zannoni A, Salaroli R, Ventrella D, Parchi G, Degli Esposti M, Polimeni A, Fabbri P, Fava F, Prati C, Gandolfi MG (2020) Vascular Wall-Mesenchymal Stem Cells Differentiation on 3D Biodegradable Highly Porous CaSi-DCPD Doped Poly (α-hydroxy) Acids Scaffolds for Bone Regeneration. Nanomaterials 10:243

    Article  CAS  PubMed Central  Google Scholar 

  64. Freeman FE, Pitacco P, van Dommelen LHA, Nulty J, Browe DC, Shin J-Y, Alsberg E, Kelly DJ (2020) 3D bioprinting spatiotemporally defined patterns of growth factors to tightly control tissue regeneration. Sci Adv 6:eabb5093

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Fryhofer GW, Zlotnick HM, Stoeckl BD, Farrell MJ, Steinberg DR, Mauck RL (2021) Fabrication and maturation of integrated biphasic anatomic mesenchymal stromal cell‐laden composite scaffolds for osteochondral repair and joint resurfacing. J Orthop Res jor. 24969.

  66. Galarraga JH, Kwon MY, Burdick JA (2019) 3D bioprinting via an in situ crosslinking technique towards engineering cartilage tissue. Sci Rep Nature Publishing Group 9:19987

    CAS  Google Scholar 

  67. Gao G, Zhang X-F, Hubbell K, Cui X (2017) NR2F2 regulates chondrogenesis of human mesenchymal stem cells in bioprinted cartilage. Biotechnol Bioeng 114:208–216

    Article  CAS  PubMed  Google Scholar 

  68. Gao Q, Liu Z, Lin Z, Qiu J, Liu Y, Liu A, Wang Y, Xiang M, Chen B, Fu J, He Y (2017) 3D Bioprinting of Vessel-like Structures with Multilevel Fluidic Channels. ACS Biomater Sci Eng 3:399–408

    Article  CAS  PubMed  Google Scholar 

  69. Gatenholm B, Lindahl C, Brittberg M, Simonsson S (2020) Collagen 2A type B induction after 3D bioprinting chondrocytes in situ into osteoarthritic chondral tibial lesion. CARTILAGE SAGE Publications Inc.

  70. Goldstein TA, Epstein CJ, Schwartz J, Krush A, Lagalante DJ, Mercadante KP, Zeltsman D, Smith LP, Grande DA (2016) Feasibility of Bioprinting with a Modified Desktop 3D Printer. Tissue Eng Part C Methods Mary Ann Liebert Inc, publishers 22:1071–1076

    Article  CAS  Google Scholar 

  71. Graham AD, Olof SN, Burke MJ, Armstrong JPK, Mikhailova EA, Nicholson JG, Box SJ, Szele FG, Perriman AW, Bayley H (2017) High-Resolution Patterned Cellular Constructs by Droplet-Based 3D Printing. Sci Rep 7:7004

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  72. Gu Y, Zhang L, Du X, Fan Z, Wang L, Sun W, Cheng Y, Zhu Y, Chen C (2018) Reversible physical crosslinking strategy with optimal temperature for 3D bioprinting of human chondrocyte-laden gelatin methacryloyl bioink. J Biomater Appl SAGE Publications Ltd STM 33:609–618

    CAS  Google Scholar 

  73. Guduric V, Belton N, Richter RF, Bernhardt A, Spangenberg J, Wu C, Lode A, Gelinsky M (2021) Tailorable Zinc-Substituted Mesoporous Bioactive Glass/Alginate-Methylcellulose Composite Bioinks. Materials 14:1225

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Gurkan UA, El Assal R, Yildiz SE, Sung Y, Trachtenberg AJ, Kuo WP, Demirci U (2014) Engineering Anisotropic Biomimetic Fibrocartilage Microenvironment by Bioprinting Mesenchymal Stem Cells in Nanoliter Gel Droplets. Mol Pharm 11:2151–2159

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Harris JD, Siston RA, Brophy RH, Lattermann C, Carey JL, Flanigan DC (2011) Failures, re-operations, and complications after autologous chondrocyte implantation–a systematic review. Osteoarthritis Cartilage 19:779–791

    Article  CAS  PubMed  Google Scholar 

  76. Hauptstein J, Böck T, Bartolf-Kopp M, Forster L, Stahlhut P, Nadernezhad A, Blahetek G, Zernecke-Madsen A, Detsch R, Jüngst T, Groll J, Teßmar J, Blunk T (2020) Hyaluronic Acid-Based Bioink Composition Enabling 3D Bioprinting and Improving Quality of Deposited Cartilaginous Extracellular Matrix. Adv Healthc Mater 9:2000737

    Article  CAS  Google Scholar 

  77. Helguero CG, Mustahsan VM, Parmar S, Pentyala S, Pfail JL, Kao I, Komatsu DE, Pentyala S (2017) Biomechanical properties of 3D-printed bone scaffolds are improved by treatment with CRFP. J Orthop Surg Res 12:195

    Article  PubMed  PubMed Central  Google Scholar 

  78. Henrionnet C, Pourchet L, Neybecker P, Messaoudi O, Gillet P, Loeuille D, Mainard D, Marquette C, Pinzano A (2020) Combining Innovative Bioink and Low Cell Density for the Production of 3D-Bioprinted Cartilage Substitutes: A Pilot Study. Stem Cells Int 2020:2487072

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  79. Hernández-Tapia LG, Fohlerová Z, Žídek J, Alvarez-Perez MA, Čelko L, Kaiser J, Montufar EB (2020) Effects of Cryopreservation on Cell Metabolic Activity and Function of Biofabricated Structures Laden with Osteoblasts. Materials 13:1966

    Article  PubMed Central  CAS  Google Scholar 

  80. Huang Y, Zhou Z, Hu Y, He N, Li J, Han X et al (2021) Modified Mannan for 3D bioprinting: a potential novel bioink for tissue engineering. Biomed Mater.

    Article  PubMed  Google Scholar 

  81. Ibrahim A (2018) 3D bioprinting bone. 3D Bioprinting Reconstr Surg Elsevier, pp 245–275.

  82. İlhan GT, Irmak G, Gümüşderelioğlu M (2020) Microwave assisted methacrylation of Kappa carrageenan: A bioink for cartilage tissue engineering. Int J Biol Macromol 164:3523–3534

    Article  PubMed  CAS  Google Scholar 

  83. Ioannidis K, Danalatos RI, Champeris Tsaniras S, Kaplani K, Lokka G, Kanellou A, Papachristou DJ, Bokias G, Lygerou Z, Taraviras S (2020) A Custom Ultra-Low-Cost 3D Bioprinter Supports Cell Growth and Differentiation. Front Bioeng Biotechnol 8:580889

    Article  PubMed  PubMed Central  Google Scholar 

  84. Irmak G, Gümüşderelioğlu M (2020) Photo-activated platelet-rich plasma (PRP)-based patient-specific bio-ink for cartilage tissue engineering. Biomed Mater IOP Publishing 15:065010

    Article  CAS  Google Scholar 

  85. Izadifar Z, Chang T, Kulyk W, Chen X, Eames BF (2016) Analyzing Biological Performance of 3D-Printed, Cell-Impregnated Hybrid Constructs for Cartilage Tissue Engineering. Tissue Eng Part C Methods Mary Ann Liebert Inc, publishers 22:173–188

    Article  CAS  Google Scholar 

  86. Jia W, Gungor-Ozkerim PS, Zhang YS, Yue K, Zhu K, Liu W, Pi Q, Byambaa B, Dokmeci MR, Shin SR, Khademhosseini A (2016) Direct 3D bioprinting of perfusable vascular constructs using a blend bioink. Biomaterials 106:58–68

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  87. Jin SS, He DQ, Luo D, Wang Y, Yu M, Guan B, Fu Y, Li ZX, Zhang T, Zhou YH, Wang CY, Liu Y (2019) A Biomimetic Hierarchical Nanointerface Orchestrates Macrophage Polarization and Mesenchymal Stem Cell Recruitment To Promote Endogenous Bone Regeneration. ACS Nano 13:6581–6595

    Article  CAS  PubMed  Google Scholar 

  88. Jodat YA, Kiaee K, Vela Jarquin D, De la Garza Hernandez RL, Wang T, Joshi S, Rezaei Z, de Melo BAG, Ge D, Mannoor MS, Shin SR (2020) A 3D-Printed Hybrid Nasal Cartilage with Functional Electronic Olfaction. Adv Sci Weinh 7:1901878

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Kang H-W, Lee SJ, Ko IK, Kengla C, Yoo JJ, Atala A (2016) A 3D bioprinting system to produce human-scale tissue constructs with structural integrity. Nat Biotechnol 34:312–319

    Article  CAS  PubMed  Google Scholar 

  90. Kean TJ, Dennis JE (2015) Synoviocyte Derived-Extracellular Matrix Enhances Human Articular Chondrocyte Proliferation and Maintains Re-Differentiation Capacity at Both Low and Atmospheric Oxygen Tensions. PLOS One Public Library of Science 10:e0129961

    Article  CAS  Google Scholar 

  91. Kean TJ, Lin P, Caplan AI, Dennis JE (2013) MSCs: Delivery Routes and Engraftment, Cell-Targeting Strategies, and Immune Modulation. Stem Cells Int Hindawi 2013:e732742

    Google Scholar 

  92. Kean TJ, Thanou M (2019) Utility of chitosan for 3D printing and bioprinting. In: Crini G, Lichtfouse E (eds) Sustain Agric Rev 35 Chitin Chitosan Hist Fundam Innov Springer International Publishing, Cham, pp 271–292.

  93. Kessel B, Lee M, Bonato A, Tinguely Y, Tosoratti E, Zenobi-Wong M (2020) 3D Bioprinting of Macroporous Materials Based on Entangled Hydrogel Microstrands. Adv Sci 7:2001419

    Article  CAS  Google Scholar 

  94. Kesti M, Eberhardt C, Pagliccia G, Kenkel D, Grande D, Boss A, Zenobi-Wong M (2015) Bioprinting Complex Cartilaginous Structures with Clinically Compliant Biomaterials. Adv Funct Mater 25:7406–7417

    Article  Google Scholar 

  95. Kilian D, Ahlfeld T, Akkineni AR, Bernhardt A, Gelinsky M, Lode A (2020) 3D Bioprinting of osteochondral tissue substitutes – in vitro-chondrogenesis in multi-layered mineralized constructs. Sci Rep 10:8277

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Kim SH, Kwon JS, Cho JG, Park KG, Lim TH, Kim MS, Choi HS, Park CH, Lee SJ (2021) Non-invasive in vivo monitoring of transplanted stem cells in 3D bioprinted constructs using near-infrared fluorescent imaging. Bioeng Transl Med 6(2):e10216

    CAS  PubMed  PubMed Central  Google Scholar 

  97. Kim SW, Kim DY, Roh HH, Kim HS, Lee JW, Lee KY (2019) Three-Dimensional Bioprinting of Cell-Laden Constructs Using Polysaccharide-Based Self-Healing Hydrogels. Biomacromolecules 20:1860–1866

    Article  CAS  PubMed  Google Scholar 

  98. Kirkham G, Cartmell S (2007) Genes and proteins involved in the regulation of osteogenesis. Top Tissue Eng 3.

  99. Klein TJ, Rizzi SC, Reichert JC, Georgi N, Malda J, Schuurman W, Crawford RW, Hutmacher DW (2009) Strategies for Zonal Cartilage Repair using Hydrogels. Macromol Biosci 9:1049–1058

    Article  CAS  PubMed  Google Scholar 

  100. Kosik-Koziol A, Costantini M, Bolek T, Szöke K, Barbetta A, Brinchmann J, Święszkowski W (2017) PLA short sub-micron fiber reinforcement of 3D bioprinted alginate constructs for cartilage regeneration. Biofabrication IOP Publishing 9:044105

    Article  CAS  Google Scholar 

  101. Kosik-Koziol A, Costantini M, Mróz A, Idaszek J, Heljak M, Jaroszewicz J, Kijeńska E, Szöke K, Frerker N, Barbetta A, Brinchmann JE, Święszkowski W (2019) 3D bioprinted hydrogel model incorporating β-tricalcium phosphate for calcified cartilage tissue engineering. Biofabrication IOP Publishing 11:035016

    Article  CAS  Google Scholar 

  102. Kuss MA, Harms R, Wu S, Wang Y, Untrauer JB, Carlson MA, Duan B (2017) Short-term hypoxic preconditioning promotes prevascularization in 3D bioprinted bone constructs with stromal vascular fraction derived cells. RSC Adv 7:29312–29320

    Article  CAS  PubMed  Google Scholar 

  103. Ladowski J, Martens G, Estrada J, Tector M, Tector J (2019) The desirable donor pig to eliminate all xenoreactive antigens. Xenotransplantation 26.

  104. Lam T, Dehne T, Krüger JP, Hondke S, Endres M, Thomas A, Lauster R, Sittinger M, Kloke L (2019) Photopolymerizable gelatin and hyaluronic acid for stereolithographic 3D bioprinting of tissue-engineered cartilage. J Biomed Mater Res B Appl Biomater 107:2649–2657

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  105. Lane NE, Nyman JS, Uppuganti S, Chaudhari AJ, Aguirre JI, Shidara K, Liu XP, Yao W, Kimmel DB (2019) Inhibition of vascular endothelial growth factor in young adult mice causes low bone blood flow and bone strength with no effect on bone mass in trabecular regions. Bone Rep 10:100210

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  106. Lee J, Lee S-H, Kim BS, Cho Y-S, Park Y (2018) Development and Evaluation of Hyaluronic Acid-Based Hybrid Bio-Ink for Tissue Regeneration. Tissue Eng Regen Med 15:761–769

    Article  PubMed  PubMed Central  Google Scholar 

  107. Lee J, Oh SJ, An SH, Kim W-D, Kim S-H (2020) Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability. Biofabrication IOP Publishing 12:035018

    Article  CAS  Google Scholar 

  108. Leucht A, Volz A-C, Rogal J, Borchers K, Kluger PJ (2020) Advanced gelatin-based vascularization bioinks for extrusion-based bioprinting of vascularized bone equivalents. Sci Rep Nature Publishing Group 10:5330

    CAS  Google Scholar 

  109. Levato R, Visser J, Planell JA, Engel E, Malda J, Mateos-Timoneda MA (2014) Biofabrication of tissue constructs by 3D bioprinting of cell-laden microcarriers. Biofabrication 6:035020

    Article  CAS  PubMed  Google Scholar 

  110. Levato R, Webb WR, Otto IA, Mensinga A, Zhang Y, van Rijen M, van Weeren R, Khan IM, Malda J (2017) The bio in the ink: cartilage regeneration with bioprintable hydrogels and articular cartilage-derived progenitor cells. Acta Biomater 61:41–53

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  111. Li L, Qin S, Peng J, Chen A, Nie Y, Liu T, Song K (2020) Engineering gelatin-based alginate/carbon nanotubes blend bioink for direct 3D printing of vessel constructs. Int J Biol Macromol 145:262–271

    Article  CAS  PubMed  Google Scholar 

  112. Lim KS, Levato R, Costa PF, Castilho MD, Alcala-Orozco CR, van Dorenmalen KMA, Melchels FPW, Gawlitta D, Hooper GJ, Malda J, Woodfield TBF (2018) Bio-resin for high resolution lithography-based biofabrication of complex cell-laden constructs. Biofabrication IOP Publishing 10:034101

    Article  CAS  Google Scholar 

  113. Litwic A, Edwards MH, Dennison EM, Cooper C (2013) Epidemiology and burden of osteoarthritis. Br Med Bull 105:185–199

    Article  PubMed  Google Scholar 

  114. Liu Y, Li Z, Li J, Yang S, Zhang Y, Yao B, Song W, Fu X, Huang S (2020) Stiffness-mediated mesenchymal stem cell fate decision in 3D-bioprinted hydrogels. Burns Trauma 8:tkaa029

    Article  PubMed  PubMed Central  Google Scholar 

  115. Long ZY, Lu Y, Chen G, Li M, Huang M, Xiao X et al (2022) Lateral malleolus reconstruction after tumor resection in children: a case report and literature review. Orthop Surg.

  116. Longoni A, Li J, Lindberg GCJ, Rnjak-Kovacina J, Wise LM, Hooper GJ, Woodfield TBF, Kieser DC, Lim KS (2021) Strategies for inclusion of growth factors into 3D printed bone grafts. Essays Biochem 65:569–585 (Jang J (ed))

    Article  CAS  PubMed  Google Scholar 

  117. López-Marcial GR, Zeng AY, Osuna C, Dennis J, García JM, O’Connell GD (2018) Agarose-Based Hydrogels as Suitable Bioprinting Materials for Tissue Engineering. ACS Biomater Sci Eng American Chemical Society 4:3610–3616

    Article  CAS  Google Scholar 

  118. Luo C, Xie R, Zhang J, Liu Y, Li Z, Zhang Y, Zhang X, Yuan T, Chen Y, Fan W (2020) Low-Temperature Three-Dimensional Printing of Tissue Cartilage Engineered with Gelatin Methacrylamide. Tissue Eng Part C Methods Mary Ann Liebert Inc, publishers 26:306–316

    Article  CAS  Google Scholar 

  119. Lv M, Zhou Y, Chen X, Han L, Wang L, Lu XL (2018) Calcium Signaling of in situ Chondrocytes in Articular Cartilage under Compressive Loading: Roles of Calcium Sources and Cell Membrane Ion Channels. J Orthop Res Off Publ Orthop Res Soc 36:730–738

    Article  CAS  Google Scholar 

  120. Marenzana M, Arnett TR (2013) The Key Role of the Blood Supply to Bone. Bone Res Nature Publishing Group 1:203–215

    CAS  Google Scholar 

  121. Markstedt K, Mantas A, Tournier I, Martinez Avila H, Hagg D, Gatenholm P (2015) 3D Bioprinting Human Chondrocytes with Nanocellulose-Alginate Bioink for Cartilage Tissue Engineering Applications. Biomacromol 16:1489–1496

    Article  CAS  Google Scholar 

  122. Martinčič D, Radosavljevič D, Drobnič M (2014) Ten-year clinical and radiographic outcomes after autologous chondrocyte implantation of femoral condyles. Knee Surg Sports Traumatol Arthrosc 22:1277–1283

    Article  PubMed  Google Scholar 

  123. Maturavongsadit P, Narayanan LK, Chansoria P, Shirwaiker R, Benhabbour SR (2021) Cell-Laden Nanocellulose/Chitosan-Based Bioinks for 3D Bioprinting and Enhanced Osteogenic Cell Differentiation. ACS Appl Bio Mater 4:2342–2353

    Article  CAS  PubMed  Google Scholar 

  124. Meachim G, Denham D, Emery IH, Wilkinson PH (1974) Collagen alignments and artificial splits at the surface of human articular cartilage. J Anat 118:101–118

    CAS  PubMed  PubMed Central  Google Scholar 

  125. Melke J, Midha S, Ghosh S, Ito K, Hofmann S (2016) Silk fibroin as biomaterial for bone tissue engineering. Acta Biomater 31:1–16

    Article  CAS  PubMed  Google Scholar 

  126. Mickle AR (2020) Development of a SOX9 Reporter Cell for High-Throughput Chondrogenic Assessment. University of Central Florida, Honors Undergraduate Theses

    Google Scholar 

  127. Miller VE, Poole C, Golightly Y, Barrett D, Chen DG, Ohrbach R, Greenspan JD, Fillingim RB, Slade GD (2019) Characteristics Associated With High-Impact Pain in People With Temporomandibular Disorder: A Cross-Sectional Study. J Pain 20:288–300

    Article  PubMed  Google Scholar 

  128. Mohamed-Ahmed S, Fristad I, Lie SA, Suliman S, Mustafa K, Vindenes H, Idris SB (2018) Adipose-derived and bone marrow mesenchymal stem cells: a donor-matched comparison. Stem Cell Res Ther 9:168

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  129. Montheil T, Maumus M, Valot L, Lebrun A, Martinez J, Amblard M, Noël D, Mehdi A, Subra G (2020) Inorganic Sol-Gel Polymerization for Hydrogel Bioprinting. ACS Omega 5:2640–2647

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  130. Moore CA, Siddiqui Z, Carney GJ, Naaldijk Y, Guiro K, Ferrer AI, Sherman LS, Guvendiren M, Kumar VA, Rameshwar P (2021) A 3D Bioprinted Material That Recapitulates the Perivascular Bone Marrow Structure for Sustained Hematopoietic and Cancer Models. Polymers 13:480

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  131. Moses JC, Saha T, Mandal BB (2020) Chondroprotective and osteogenic effects of silk-based bioinks in developing 3D bioprinted osteochondral interface. Bioprinting 17:e00067

    Article  Google Scholar 

  132. Müller M, Becher J, Schnabelrauch M, Zenobi-Wong M (2015) Nanostructured Pluronic hydrogels as bioinks for 3D bioprinting. Biofabrication IOP Publishing 7:035006

    Article  CAS  Google Scholar 

  133. Müller M, Öztürk E, Arlov Ø, Gatenholm P, Zenobi-Wong M (2017) Alginate Sulfate-Nanocellulose Bioinks for Cartilage Bioprinting Applications. Ann Biomed Eng 45:210–223

    Article  PubMed  Google Scholar 

  134. Murphy C, Kolan K, Li W, Semon J, Day D, Leu M (2017) 3D bioprinting of stem cells and polymer/bioactive glass composite scaffolds for tissue engineering. Int J Bioprint 3(1):005

    Article  PubMed  PubMed Central  Google Scholar 

  135. Muthusamy S, Kannan S, Lee M, Sanjairaj V, Lu WF, Fuh JYH, Sriram G, Cao T (2021) 3D bioprinting and microscale organization of vascularized tissue constructs using collagen-based bioink. Biotechnol Bioeng 118:3150–3163

    Article  CAS  PubMed  Google Scholar 

  136. Nedunchezian S, Banerjee P, Lee C-Y, Lee S-S, Lin C-W, Wu C-W, Wu S-C, Chang J-K, Wang C-K (2021) Generating adipose stem cell-laden hyaluronic acid-based scaffolds using 3D bioprinting via the double crosslinked strategy for chondrogenesis. Mater Sci Eng C 124:112072

    Article  CAS  Google Scholar 

  137. Nemeth CL, Janebodin K, Yuan AE, Dennis JE, Reyes M, Kim D-H (2014) Enhanced Chondrogenic Differentiation of Dental Pulp Stem Cells Using Nanopatterned PEG-GelMA-HA Hydrogels. Tissue Eng Part A 20:2817–2829

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  138. Nguyen D, Hägg DA, Forsman A, Ekholm J, Nimkingratana P, Brantsing C, Kalogeropoulos T, Zaunz S, Concaro S, Brittberg M, Lindahl A, Gatenholm P, Enejder A, Simonsson S (2017) Cartilage Tissue Engineering by the 3D Bioprinting of iPS Cells in a Nanocellulose/Alginate Bioink. Sci Rep 7:658

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  139. Ni T, Liu M, Zhang Y, Cao Y, Pei R (2020) 3D Bioprinting of Bone Marrow Mesenchymal Stem Cell-Laden Silk Fibroin Double Network Scaffolds for Cartilage Tissue Repair. Bioconjug Chem American Chemical Society 31:1938–1947

    Article  CAS  Google Scholar 

  140. Nugent M, Young SW, Frampton CM, Hooper GJ (2021) The lifetime risk of revision following total hip arthroplasty. Bone Jt J 103-B:479–485 (The British Editorial Society of Bone and Joint Surgery)

    Article  Google Scholar 

  141. Nulty J, Freeman FE, Browe DC, Burdis R, Ahern DP, Pitacco P, Lee YB, Alsberg E, Kelly DJ (2021) 3D bioprinting of prevascularised implants for the repair of critically-sized bone defects. Acta Biomater 126:154–169

    Article  PubMed  Google Scholar 

  142. O’Connell CD, Onofrillo C, Duchi S, Li X, Zhang Y, Tian P, Lu L, Trengove A, Quigley A, Gambhir S, Khansari A, Mladenovska T, O’Connor A, Bella CD, Choong PF, Wallace GG (2019) Evaluation of sterilisation methods for bio-ink components: gelatin, gelatin methacryloyl, hyaluronic acid and hyaluronic acid methacryloyl. Biofabrication IOP Publishing 11:035003

    Article  CAS  Google Scholar 

  143. Olubamiji AD, Zhu N, Chang T, Nwankwo CK, Izadifar Z, Honaramooz A, Chen X, Eames BF (2017) Traditional Invasive and Synchrotron-Based Noninvasive Assessments of Three-Dimensional-Printed Hybrid Cartilage Constructs In Situ. Tissue Eng Part C Methods 23:156–168 (Mary Ann Liebert Inc, publishers)

    Article  PubMed  Google Scholar 

  144. Orimo H (2010) The Mechanism of Mineralization and the Role of Alkaline Phosphatase in Health and Disease. J Nippon Med Sch 77:4–12

    Article  CAS  PubMed  Google Scholar 

  145. Ozbolat IT, Hospodiuk M (2016) Current advances and future perspectives in extrusion-based bioprinting. Biomaterials 76:321–343

    Article  CAS  PubMed  Google Scholar 

  146. Park H, Guo X, Temenoff JS, Tabata Y, Caplan AI, Kasper FK, Mikos AG (2009) Effect of Swelling Ratio of Injectable Hydrogel Composites on Chondrogenic Differentiation of Encapsulated Rabbit Marrow Mesenchymal Stem Cells In Vitro. Biomacromol 10:541–546

    Article  CAS  Google Scholar 

  147. Park JH, Gillispie GJ, Copus JS, Zhang W, Atala A, Yoo JJ, Yelick PC, Lee SJ (2020) The effect of BMP-mimetic peptide tethering bioinks on the differentiation of dental pulp stem cells (DPSCs) in 3D bioprinted dental constructs. Biofabrication 12:035029

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  148. Park JY, Shim J-H, Choi S-A, Jang J, Kim M, Lee SH, Cho D-W (2015) 3D printing technology to control BMP-2 and VEGF delivery spatially and temporally to promote large-volume bone regeneration. J Mater Chem B 3:5415–5425

    Article  CAS  PubMed  Google Scholar 

  149. Patel JM, Wise BC, Bonnevie ED, Mauck RL (2019) A Systematic Review and Guide to Mechanical Testing for Articular Cartilage Tissue Engineering. Tissue Eng Part C Methods 25:593–608

    Article  PubMed  PubMed Central  Google Scholar 

  150. Peters AE, Akhtar R, Comerford EJ, Bates KT (2018) The effect of ageing and osteoarthritis on the mechanical properties of cartilage and bone in the human knee joint. Sci Rep 8:5931

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  151. Piard C, Baker H, Kamalitdinov T, Fisher J (2019) Bioprinted osteon-like scaffolds enhance in vivo neovascularization. Biofabrication 11:025013

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  152. Polo JR, Tejedor A, Polo J, Sanabia J, Calleja J, Gómez F (1995) Long-term follow-up of 6–8 mm brachioaxillary polytetrafluorethylene grafts for hemodialysis. Artif Organs 19:1181–1184

    Article  CAS  PubMed  Google Scholar 

  153. Prakash Parthiban S, Rana D, Jabbari E, Benkirane-Jessel N, Ramalingam M (2017) Covalently immobilized VEGF-mimicking peptide with gelatin methacrylate enhances microvascularization of endothelial cells. Acta Biomater 51:330–340

    Article  CAS  PubMed  Google Scholar 

  154. Purpura CA, Garry EM, Honig N, Case A, Rassen JA (2022) The Role of Real-World Evidence in FDA-Approved New Drug and Biologics License Applications. Clin Pharmacol Ther 111:135–144

    Article  PubMed  Google Scholar 

  155. Rathan S, Dejob L, Schipani R, Haffner B, Möbius ME, Kelly DJ (2019) Fiber Reinforced Cartilage ECM Functionalized Bioinks for Functional Cartilage Tissue Engineering. Adv Healthc Mater 8:1801501

    Article  CAS  Google Scholar 

  156. Reakasame S, Boccaccini AR (2018) Oxidized Alginate-Based Hydrogels for Tissue Engineering Applications: A Review. Biomacromol 19:3–21

    Article  CAS  Google Scholar 

  157. Roberts TT, Rosenbaum AJ (2012) Bone grafts, bone substitutes and orthobiologics: The bridge between basic science and clinical advancements in fracture healing. Organogenesis 8:114–124

    Article  PubMed  PubMed Central  Google Scholar 

  158. Roche B, David V, Vanden-Bossche A, Peyrin F, Malaval L, Vico L, Lafage-Proust M-H (2012) Structure and quantification of microvascularisation within mouse long bones: What and how should we measure? Bone 50:390–399

    Article  PubMed  Google Scholar 

  159. Roddy E, DeBaun MR, Daoud-Gray A, Yang YP, Gardner MJ (2018) Treatment of critical-sized bone defects: clinical and tissue engineering perspectives. Eur J Orthop Surg Traumatol 28:351–362

    Article  PubMed  Google Scholar 

  160. Roh H-H, Kim H-S, Kim C, Lee K-Y (2021) 3D Printing of Polysaccharide-Based Self-Healing Hydrogel Reinforced with Alginate for Secondary Cross-Linking. Biomedicines 9:1224

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  161. Roseti L, Cavallo C, Desando G, Parisi V, Petretta M, Bartolotti I, Grigolo B (2018) Three-Dimensional Bioprinting of Cartilage by the Use of Stem Cells: A Strategy to Improve Regeneration. Materials Multidisciplinary Digital Publishing Institute 11:1749

    Google Scholar 

  162. Ruiz-Cantu L, Gleadall A, Faris C, Segal J, Shakesheff K, Yang J (2020) Multi-material 3D bioprinting of porous constructs for cartilage regeneration. Mater Sci Eng C 109:110578

    Article  CAS  Google Scholar 

  163. Rukavina P, Koch F, Wehrle M, Tröndle K, Stark GB, Koltay P, Zimmermann S, Zengerle R, Lampert F, Strassburg S, Finkenzeller G, Simunovic F (2020) In vivo evaluation of bioprinted prevascularized bone tissue. Biotechnol Bioeng 117:3902–3911

    Article  CAS  PubMed  Google Scholar 

  164. Schipani R, Scheurer S, Florentin R, Critchley SE, Kelly DJ (2020) Reinforcing interpenetrating network hydrogels with 3D printed polymer networks to engineer cartilage mimetic composites. Biofabrication IOP Publishing 12:035011

    Article  CAS  Google Scholar 

  165. Schuurman W, Khristov V, Pot MW, van Weeren PR, Dhert WJA, Malda J (2011) Bioprinting of hybrid tissue constructs with tailorable mechanical properties. Biofabrication 3:021001

    Article  CAS  PubMed  Google Scholar 

  166. Schuurman W, Levett PA, Pot MW, van Weeren PR, Dhert WJA, Hutmacher DW, Melchels FPW, Klein TJ, Malda J (2013) Gelatin-Methacrylamide Hydrogels as Potential Biomaterials for Fabrication of Tissue-Engineered Cartilage Constructs. Macromol Biosci 13:551–561

    Article  CAS  PubMed  Google Scholar 

  167. Schwab A, Hélary C, Richards RG, Alini M, Eglin D, D’Este M (2020) Tissue mimetic hyaluronan bioink containing collagen fibers with controlled orientation modulating cell migration and alignment. Mater Today Bio 7:100058

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  168. Shanjani Y, Pan CC, Elomaa L, Yang Y (2015) A novel bioprinting method and system for forming hybrid tissue engineering constructs. Biofabrication 7:045008

    Article  CAS  PubMed  Google Scholar 

  169. Shim J-H, Jang K-M, Hahn SK, Park JY, Jung H, Oh K, Park KM, Yeom J, Park SH, Kim SW, Wang JH, Kim K, Cho D-W (2016) Three-dimensional bioprinting of multilayered constructs containing human mesenchymal stromal cells for osteochondral tissue regeneration in the rabbit knee joint. Biofabrication 8:014102

    Article  PubMed  CAS  Google Scholar 

  170. Sievers J, Sperlich K, Stahnke T, Kreiner C, Eickner T, Martin H, Guthoff RF, Schünemann M, Bohn S, Stachs O (2021) Determination of hydrogel swelling factors by two established and a novel non-contact continuous method. J Appl Polym Sci 138:50326

    Article  CAS  Google Scholar 

  171. Singh JA, Yu S, Chen L, Cleveland JD (2019) Rates of Total Joint Replacement in the United States: Future Projections to 2020–2040 Using the National Inpatient Sample. J Rheumatol 46:1134–1140

    Article  PubMed  Google Scholar 

  172. Sivaraj KK, Adams RH (2016) Blood vessel formation and function in bone. Development 143:2706–2715

    Article  CAS  PubMed  Google Scholar 

  173. Sophia Fox AJ, Bedi A, Rodeo SA (2009) The Basic Science of Articular Cartilage: Structure, Composition, and Function. Sports Health 1:461–468

    Article  PubMed  PubMed Central  Google Scholar 

  174. Stewart SA, Domínguez-Robles J, Donnelly RF, Larrañeta E (2018) Implantable Polymeric Drug Delivery Devices: Classification, Manufacture, Materials, and Clinical Applications. Polymers Multidisciplinary Digital Publishing Institute 10:1379

    Google Scholar 

  175. Stichler S, Böck T, Paxton N, Bertlein S, Levato R, Schill V, Smolan W, Malda J, Teßmar J, Blunk T, Groll J (2017) Double printing of hyaluronic acid/poly(glycidol) hybrid hydrogels with poly(ε-caprolactone) for MSC chondrogenesis. Biofabrication IOP Publishing 9:044108

    Article  CAS  Google Scholar 

  176. Subramani R, Izquierdo-Alvarez A, Bhattacharya P, Meerts M, Moldenaers P, Ramon H et al (2020) The influence of swelling on elastic properties of Polyacrylamide Hydrogels. Front Mater 7.

  177. Sugiura H, Demura S (2013) Effects of Mild and Severe Knee Joint Pain on Various Activities of Daily Living in the Female Elderly. Pain Res Treat 2013:1–10

    Article  Google Scholar 

  178. Sun X, Ma Z, Zhao X, Jin W, Zhang C, Ma J, Qiang L, Wang W, Deng Q, Yang H, Zhao J, Liang Q, Zhou X, Li T, Wang J (2021) Three-dimensional bioprinting of multicell-laden scaffolds containing bone morphogenic protein-4 for promoting M2 macrophage polarization and accelerating bone defect repair in diabetes mellitus. Bioact Mater 6:757–769

    Article  CAS  PubMed  Google Scholar 

  179. Sun Y, Wu Q, Zhang Y, Dai K, Wei Y (2021) 3D-bioprinted gradient-structured scaffold generates anisotropic cartilage with vascularization by pore-size-dependent activation of HIF1α/FAK signaling axis. Nanomedicine Nanotechnol Biol Med 37:102426

    Article  CAS  Google Scholar 

  180. Sun Y, You Y, Jiang W, Wang B, Wu Q, Dai K (2021) 3D bioprinting dual-factor releasing and gradient-structured constructs ready to implant for anisotropic cartilage regeneration. Sci Adv 6:eaay1422 (American Association for the Advancement of Science)

    Article  CAS  Google Scholar 

  181. Sun Y, You Y, Jiang W, Zhai Z, Dai K (2019) 3D-bioprinting a genetically inspired cartilage scaffold with GDF5-conjugated BMSC-laden hydrogel and polymer for cartilage repair. Theranostics 9:6949–6961

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  182. Sun Y, Yu K, Nie J, Sun M, Fu J, Wang H et al (2021) Modeling the printability of photocuring and strength adjustable hydrogel bioink during projection-based 3D bioprinting. Biofabrication 13.

  183. Trubelja A, Kasper FK, Farach-Carson MC, Harrington DA (2022) Bringing hydrogel-based craniofacial therapies to the clinic. Acta Biomater 138:1–20

    Article  CAS  PubMed  Google Scholar 

  184. Trucco D, Sharma A, Manferdini C, Gabusi E, Petretta M, Desando G, Ricotti L, Chakraborty J, Ghosh S, Lisignoli G (2021) Modeling and Fabrication of Silk Fibroin–Gelatin-Based Constructs Using Extrusion-Based Three-Dimensional Bioprinting. ACS Biomater Sci Eng American Chemical Society 7:3306–3320

    Article  CAS  Google Scholar 

  185. Valorani MG, Montelatici E, Germani A, Biddle A, D’Alessandro D, Strollo R, Patrizi MP, Lazzari L, Nye E, Otto WR, Pozzilli P, Alison MR (2012) Pre-culturing human adipose tissue mesenchymal stem cells under hypoxia increases their adipogenic and osteogenic differentiation potentials. Cell Prolif 45:225–238

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  186. Van Den Heuvel SCM, Winters HAH, Ultee KH, Zijlstra-Koenrades N, Sakkers RJB (2022) Combined massive allograft and intramedullary vascularized fibula transfer: the Capanna technique for treatment of congenital pseudarthrosis of the tibia. Acta Orthop 91:605–610

    Article  Google Scholar 

  187. Vimalraj S (2020) Alkaline phosphatase: Structure, expression and its function in bone mineralization. Gene 754:144855

    Article  CAS  PubMed  Google Scholar 

  188. Wan S, George SJ, Berry C, Baker AH (2012) Vein graft failure: current clinical practice and potential for gene therapeutics. Gene Ther 19:630–636

    Article  CAS  PubMed  Google Scholar 

  189. Wang B, Díaz-Payno PJ, Browe DC, Freeman FE, Nulty J, Burdis R, Kelly DJ (2021) Affinity-bound growth factor within sulfated interpenetrating network bioinks for bioprinting cartilaginous tissues. Acta Biomater 128:130–142

    Article  CAS  PubMed  Google Scholar 

  190. Wang L, Xu ME, Luo L, Zhou Y, Si P (2018) Iterative feedback bio-printing-derived cell-laden hydrogel scaffolds with optimal geometrical fidelity and cellular controllability. Sci Rep 8:2802

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  191. Wang M, Li H, Yang Y, Yuan K, Zhou F, Liu H, Zhou Q, Yang S, Tang T (2021) A 3D-bioprinted scaffold with doxycycline-controlled BMP2-expressing cells for inducing bone regeneration and inhibiting bacterial infection. Bioact Mater 6:1318–1329

    Article  CAS  PubMed  Google Scholar 

  192. Wang X, Tolba E, Schröder HC, Neufurth M, Feng Q, Diehl-Seifert B, Müller WEG (2014) Effect of Bioglass on Growth and Biomineralization of SaOS-2 Cells in Hydrogel after 3D Cell Bioprinting. PLoS One 9:e112497 (Malaval L (ed))

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  193. Wang Z, Mithieux SM, Weiss AS (2019) Fabrication Techniques for Vascular and Vascularized Tissue Engineering. Adv Healthc Mater 8:1900742

    Article  CAS  Google Scholar 

  194. Xu H, Casillas J, Krishnamoorthy S, Xu C (2020) Effects of Irgacure 2959 and lithium phenyl-2,4,6-trimethylbenzoylphosphinate on cell viability, physical properties, and microstructure in 3D bioprinting of vascular-like constructs. Biomed Mater IOP Publishing 15:055021

    Article  CAS  Google Scholar 

  195. Xu L, Varkey M, Jorgensen A, Ju J, Jin Q, Park JH, Fu Y, Zhang G, Ke D, Zhao W, Hou R, Atala A (2020) Bioprinting small diameter blood vessel constructs with an endothelial and smooth muscle cell bilayer in a single step. Biofabrication 12:045012

    Article  CAS  PubMed  Google Scholar 

  196. Yang G, Mahadik B, Choi JY, Yu JR, Mollot T, Jiang B, He X, Fisher JP (2021) Fabrication of centimeter-sized 3D constructs with patterned endothelial cells through assembly of cell-laden microbeads as a potential bone graft. Acta Biomater 121:204–213

    Article  CAS  PubMed  Google Scholar 

  197. Yang J, Bi X, Li M (2019) Osteoclast Differentiation Assay. Methods Mol Biol Clifton NJ 1882:143–148

    Article  CAS  Google Scholar 

  198. Yang X, Lu Z, Wu H, Li W, Zheng L, Zhao J (2018) Collagen-alginate as bioink for three-dimensional (3D) cell printing based cartilage tissue engineering. Mater Sci Eng C 83:195–201

    Article  CAS  Google Scholar 

  199. Yang Y, Wang M, Yang S, Lin Y, Zhou Q, Li H, Tang T (2020) Bioprinting of an osteocyte network for biomimetic mineralization. Biofabrication 12:045013

    Article  CAS  PubMed  Google Scholar 

  200. Yelin E, Weinstein S, King T (2019) An update on the burden of musculoskeletal diseases in the U.S. Semin Arthritis Rheum 49:1–2

    Article  PubMed  Google Scholar 

  201. You F, Chen X, Cooper DML, Chang T, Eames BF (2018) Homogeneous hydroxyapatite/alginate composite hydrogel promotes calcified cartilage matrix deposition with potential for three-dimensional bioprinting. Biofabrication IOP Publishing 11:015015

    Article  CAS  Google Scholar 

  202. Yue K, Santiago GT, Alvarez MM, Tamayol A, Annabi N, Khademhosseini A (2015) Synthesis, properties, and biomedical applications of gelatin methacryloyl (GelMA) hydrogels. Biomaterials 73:254–271

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  203. Zha K, Li X, Yang Z, Tian G, Sun Z, Sui X, Dai Y, Liu S, Guo Q (2021) Heterogeneity of mesenchymal stem cells in cartilage regeneration: from characterization to application. NPJ Regen Med 6:1–15

    Article  CAS  Google Scholar 

  204. Zhai X, Ruan C, Ma Y, Cheng D, Wu M, Liu W, Zhao X, Pan H, Lu WW (2018) 3D-Bioprinted Osteoblast-Laden Nanocomposite Hydrogel Constructs with Induced Microenvironments Promote Cell Viability, Differentiation, and Osteogenesis both In Vitro and In Vivo. Adv Sci 5:1700550

    Article  CAS  Google Scholar 

  205. Zhang J, Eyisoylu H, Qin X-H, Rubert M, Müller R (2021) 3D bioprinting of graphene oxide-incorporated cell-laden bone mimicking scaffolds for promoting scaffold fidelity, osteogenic differentiation and mineralization. Acta Biomater 121:637–652

    Article  CAS  PubMed  Google Scholar 

  206. Zhang J, Wehrle E, Adamek P, Paul GR, Qin X-H, Rubert M, Müller R (2020) Optimization of mechanical stiffness and cell density of 3D bioprinted cell-laden scaffolds improves extracellular matrix mineralization and cellular organization for bone tissue engineering. Acta Biomater 114:307–322

    Article  CAS  PubMed  Google Scholar 

  207. Zhang L, Yang G, Johnson BN, Jia X (2019) Three-dimensional (3D) printed scaffold and material selection for bone repair. Acta Biomater 84:16–33

    Article  CAS  PubMed  Google Scholar 

  208. Zhang X, Liu Y, Luo C, Zhai C, Li Z, Zhang Y, Yuan T, Dong S, Zhang J, Fan W (2021) Crosslinker-free silk/decellularized extracellular matrix porous bioink for 3D bioprinting-based cartilage tissue engineering. Mater Sci Eng C 118:111388

    Article  CAS  Google Scholar 

  209. Zhang Y, Yu Y, Chen H, Ozbolat IT (2013) Characterization of printable cellular micro-fluidic channels for tissue engineering. Biofabrication IOP Publishing 5:025004

    Article  CAS  Google Scholar 

  210. Zheng S, Xia Y (2009) The Collagen Fibril Structure in the Superficial Zone of Articular Cartilage by μMRI. Osteoarthr Cartil OARS Osteoarthr Res Soc 17:1519–1528

    Article  CAS  Google Scholar 

  211. Zheng Z, Wu J, Liu M, Wang H, Li C, Rodriguez MJ, Li G, Wang X, Kaplan DL (2018) 3D Bioprinting of Self-Standing Silk-Based Bioink. Adv Healthc Mater 7:1701026

    Article  CAS  Google Scholar 

  212. Zhou Y, Qin R, Chen T, Zhang K, Gui J (2021) 3D bioprinting modified autologous matrix-induced chondrogenesis(AMIC) technique for repair of cartilage defects. Mater Des 203:109621

    Article  CAS  Google Scholar 

  213. Zhu J, Wang Y, Zhong L, Pan F, Wang J (2021) Advances in tissue engineering of vasculature through three-dimensional bioprinting. Dev Dyn.

  214. Zhu M, Wang Y, Ferracci G, Zheng J, Cho N-J, Lee BH (2019) Gelatin methacryloyl and its hydrogels with an exceptional degree of controllability and batch-to-batch consistency. Sci Rep Nature Publishing Group 9:6863

    Google Scholar 

  215. Zhu W, Cui H, Boualam B, Masood F, Flynn E, Rao RD, Zhang Z-Y, Zhang LG (2018) 3D bioprinting mesenchymal stem cell-laden construct with core–shell nanospheres for cartilage tissue engineering. Nanotechnology IOP Publishing 29:185101

    Article  CAS  Google Scholar 

  216. Zhu Z, Ng DWH, Park HS, McAlpine MC (2021) 3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies. Nat Rev Mater Nature Publishing Group 6:27–47

    Article  Google Scholar 

Download references


The project was supported by a literature grant from the ON Foundation, Switzerland and by the University of Central Florida, College of Medicine.

Informed consent

Not applicable.


The project was supported by a literature grant (#21–225) from the ON Foundation, Switzerland and by the University of Central Florida College of Medicine.

Author information

Authors and Affiliations



All authors contributed to the idea, initiation, execution, and revision of the present study. RLP wrote sections 1, 2, 3.1, 3.5, 3.6, 4. KM wrote section 3.2, MK, JD and KS wrote section 3.3. DGG wrote section 3.4. TJK extensively reviewed and revised all sections. RLP, KM, MK, JD, KS, DGG collated data. RLP, KM, MK, JD, KS, DGG, TJK analyzed the data. TJK, MC, MR and RSM conceptualized the project and gave critical feedback. All authors agreed on the order of authorship prior to manuscript submission. The authors read and approved the final manuscript. 

Corresponding author

Correspondence to Thomas J. Kean.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Conflict of interests

All authors state that we have no conflicts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and permissions

About this article