- Review
- Open access
- Published:
Emerging 3D bioprinting applications in plastic surgery
Biomaterials Research volume 27, Article number: 1 (2023)
Abstract
Plastic surgery is a discipline that uses surgical methods or tissue transplantation to repair, reconstruct and beautify the defects and deformities of human tissues and organs. Three-dimensional (3D) bioprinting has gained widespread attention because it enables fine customization of the implants in the patient's surgical area preoperatively while avoiding some of the adverse reactions and complications of traditional surgical approaches. In this paper, we review the recent research advances in the application of 3D bioprinting in plastic surgery. We first introduce the printing process and basic principles of 3D bioprinting technology, revealing the advantages and disadvantages of different bioprinting technologies. Then, we describe the currently available bioprinting materials, and dissect the rationale for special dynamic 3D bioprinting (4D bioprinting) that is achieved by varying the combination strategy of bioprinting materials. Later, we focus on the viable clinical applications and effects of 3D bioprinting in plastic surgery. Finally, we summarize and discuss the challenges and prospects for the application of 3D bioprinting in plastic surgery. We believe that this review can contribute to further development of 3D bioprinting in plastic surgery and provide lessons for related research.
Graphical Abstract
Background
Tissue and organ damage or deformity due to disease, trauma, tumors, congenital malformations, and other factors place a huge physical and psychological burden on patients. The restoration and beautification of patients' tissues and organs has long been a problem that plastic surgeons have struggled with, but traditional surgical treatments often have limited capabilities. In clinical surgical treatment, it is often necessary to design implants with specific shapes for different patients in order to achieve the aesthetic requirements of the patient. Traditional biomaterials (e.g., expansion, silicone, etc.) often fail to meet the individual requirements for high precision, and may also result in postoperative complications, such as encapsulation, infection, and bleeding. However, autologous tissue transplantation introduces the problems of donor site damage and increased surgical difficulty [1,2,3,4,5].
3D bioprinting technology allows the design of individualized grafts for each patient's needs, resulting in a higher degree of precision and fit. Thus, it provides significant reduction in the difficulty, risk, and duration of plastic surgery. With the development of Three-dimensional(3D) bioprinting technology, various new types of bioinks and printing strategies have emerged, making it possible to customize personalized grafts. Implants prepared using biomaterials and printed based on the patient's own seed cells have superior biocompatibility and lower immunogenicity than conventional biomaterials. Moreover, surgical complications such as pain and inflammation caused by surgical manipulation of the donor area during autologous transplantation are avoided [6,7,8,9,10,11,12]. In addition, novel printing technologies such as intraoperative bioprinting have provided new ideas for the clinical practice of plastic surgery [13].
In this review, we focus on the use of 3D bioprinting in plastic surgery. First, we briefly introduce the basic principles, process, advantages, and disadvantages of each type of 3D bioprinting technology. We also describe in detail the currently available bioprinting materials for different types of tissue repair. Moreover, we present 4D bioprinting technology achieved by changing the combination strategy of bioprinting materials, most of the current bioprinting products differ in functionality by changing the structure of the printed product and the composition of the bioink/biomaterial ink. Next, we highlight the specific applications of 3D bioprinting in plastic surgery. And finally, we briefly discuss the current challenges and future prospects of 3D bioprinting in plastic surgery research and application.
Main text
3D bioprinting manufacturing
Definition of 3D bioprinting
3D bioprinting based on 3D printing technology that prints cells or other biomaterials on a substrate through a printing system according to the requirements of bionic morphology, organism function, and cellular microenvironment [14, 15]. This delicate process ensures that individual cells or multiple cell types are held together when formulated into biocompatible materials, forming biologically functional 3D constructs. Moreover, bioinks based on cellular components are prepared into shapes according to printing needs, so that the final printed product has a complex geometry, thereby creating various types of 3D biomimetic constructs. Thus, this technology makes it possible to print functional cell-based tissues or organs [16,17,18,19].
Specifically, 3D bioprinting work is usually divided into three main steps: pre-processing, processing, and post-processing. 1) Pre-processing: digital imaging and communications in medicine (DICOM) images obtained by segmenting the tissues and organs at the target regionlayer by layer using computed tomography (CT), magnetic resonance imaging (MRI), and other imaging techniques. The obtained images are reconstructed to obtain the 3D model. Then, the 3D model is converted to standard tessellation language (STL) digital language form. 2) Processing: The staff extracts seed cells from the patients, then cultures and proliferates them in vitro, then mixes the seed cells with bioink having similar biological properties to the target tissue and configuring the mixture into the printer cartridge. Then, the obtained STL data is used to print out the tissue or organ. 3) Post-processing: Before transplanting the printed product into the tissue of the patient or test model, it should be placed in a bioreactor to maintain its mechanical properties and biological functionality [20, 21].
Since bioprinting was proposed in the early 2000s [22], this technology has developed rapidly and has received widespread attention from research scholars. During the decades of rapid technology development, three main types of mainstream 3D bioprinting technologies have emerged: extrusion-based, droplet-based and laser-based bioprinting. Recently, acoustic bioprinting and magnetic bioprinting have also been investigated for biomedical applications and there is still room to explore the practical applications of these new printing technologies.
3D bioprinting technology
3D bioprinting products need to achieve the same level of complexity and detail as human tissue and organ structures, as well as multi-biological functionality. Moreover, the structure and function of different tissues and organs in the human body vary widely. Therefore, various 3D bioprinting technologies have emerged to meet the demand for printing high-precision complex structures that can simulate different tissues and organs. In this section we will elaborate on the main current 3D bioprinting technologies and their principles. And we also list their main advantages and disadvantages (Table 1).
Inkjet (Droplet)-based bioprinting technology
Inkjet-based bioprinting technology can print ink droplets in nano- and micron-scale volumes, depending on the printing needs. Also, since most of the current bioink is formulated with hydrogel material, this droplet-like printing method can ensure high resolution printing on a preset area [37] (Fig. 1A). Experiments usually use thermal or piezoelectric systems to briefly form the inkjet head to regulate the spraying of different sized droplets; they eject ink by mechanical energy generated by air pressure and current pulses, respectively [23, 38]. In addition, piezoelectric-driven bioprinters have higher cell bio-vitality than traditional thermal bioprinters that spray ink [39]. Inkjet-based bioprinting technology produces droplet sizes and print rates that depend on the fluid properties of the ink, the diameter of the nozzle, and the deformation frequency of the print head [24, 25, 32]. This technology also has the advantages of fast printing speed, relatively low cost, and strong simulation [32, 37]. However, it also has defects such as easy clogging of nozzles, limited ink viscosity, uneven ink size, and poor sequence lines [26, 40, 41].
Laser-based bioprinting technology
Laser-based bioprinting is a scaffold-free bioprinting technology. It mainly relies on laser source directional deposition or curing the printing material by means of optical cross-linking to build the structure of the printed product [43, 44]. Therefore, it can be mainly divided into: Stereo Lithography Appearance (SLA) and Laser-assisted Bioprinting (LAB). 1) SLA: This is a projection printing system that uses an ultraviolet or visiblelight projector to cure photosensitive ink into a specified area, and forms the desired model by layer-by-layer photopolymerization [42] (Fig. 1B). This technology eliminates the negative effects of shear stress on bioinks caused by nozzle printing technology, while enabling fast and highly accurate printing (resolution 5-300 µm) [27, 28]. 2) LAB: LAB uses laser pulses to deposit printing ink directly onto the collection substrate to build 3D biological models. The LAB system consists of three main components: a pulsed light source, a ribbon with a laser matrix containing a bioprinting material, and a collection substrate. The laser pulse is focused on the ribbon-induced absorption layer to form a localized evaporation producing a droplet containing the bioprinting material which falls towards the collection substrate and finalizes the print [29, 30]. These printing technologies are nozzle-free and have the technical feature of not directly touching the bioprinting material, eliminating damage to cells from shear stress. They guarantee high resolution and high cell viability printing and expand the range of cell densities for bioinks and viscosities of biomaterials (Fig. 1C). However, the cytotoxicity of photocrosslinkers and the mutation-inducing nature of ultraviolet (UV) light sources, as well as the high cost of building optical printing systems and the long printing process are still non-negligible drawbacks [29,30,31, 45, 46]. This greatly hinders the widespread adoption of laser-based bioprinting technology.
Extrusion-based bioprinting technology
Extrusion-based bioprinting prints biological materials by continuous extrusion using the mechanical force formed by pressure or distribution system (air, piston, etc.). Specifically, a bioink or biomaterial ink is placed in a disposable medical grade syringe. The ink is squeezed onto the sterile material by mechanical force generated by pressure or the dispensing system. During the printing process, the coordinated motion of the print head in coordination with the substrate in the three axes of space facilitates the high-precision deposition of multiple materials. This makes it possible to build large-scale complex 3D biological structures [33,34,35] (Fig. 1D). Extrusion-based bioprinting is preferred due to its scalability, ease of operation, and high versatility resulting from a widely applicable library of biomaterials [25, 26, 47]. In addition, compared to other technologies, extrusion-based bioprinting is able to deposit materials with a wide range of viscosities (30 mPa -s to over 6 × 107 mPa −s) and high cell densities at a relatively low cost with easy operation [14, 36, 48]. In contrast, the optimal resolution of this technology is low, reaching only 100 μm [49]. And the shear stress generated by extruding ink through tiny nozzles can affect cell survival and ultimately the entire product [50].
Emerging 3D bioprinting technologies
As research in the field of 3D bioprinting continues to intensify, higher demands are being placed on technologies including print scale, cell activity, and ink viscosity. To meet the higher demand researchers have developed several novel technologies and strategies.
Acoustic bioprinting technology is opening a new research avenue using single-cell manipulation techniques as well as surface acoustic wave technology to print 3D structures. In a relatively mild acoustic field environment, sound waves can move cells in different directions over a 3D space to produce complex 3D constructs. Also, as a non-contact printing technique, this method avoids nozzle clogging and damage to cell structure from pressure, heat, and shear stress [51]. In addition, magnetic bioprinting is also characterized by non-contact printing, direct endogenous synthesis of extracellular matrix (ECM) and high-precision spatial control, as well as the ability to rapidly print multiple tissue-like structures. Therefore, it is gradually being considered by researchers [52,53,54]. The main principle is that by pre-processing the bioink and exposing it to an external magnetic field, bioink can be magnetically guided [55, 56]. However, actual clinical studies of these technologies are relatively scarce. The potential of these technologies to combine multiple cell types and other biomaterials to print 3D biological structures should be explored.
In addition, to meet the demand for large-scale and high-precision bioprinting in research, researchers have proposed novel bioprinting strategies, such as embedded, microfluidic and volumetric bioprinting. In embedded bioprinting low-viscosity bioinks are extruded into a support tank, thereby increasing the structural complexity of the bioprinting tissue (Fig. 2A). This makes it possible to directly produce 3D volumetric biological structures. In microfluidic bioprinting by configuring a microfluidic system in an extrusion bioprinter, it is possible to create multi-component/multi-cellular biological tissue structures in a single print (Fig. 2B). And volumetric bioprinting can create a complete large living biological tissue structure in seconds, far exceeding the printing rates of traditional laser-based bioprinting technology with light projector systems (Fig. 2C). These new printing strategies are meeting the need for more demanding bioprinting products, and better mimic the structure and function of the patient's original tissue [57,58,59,60,61,62].
As discussed, both traditional and newer 3D bioprinting technologies, as well as the relatively new 4D bioprinting that will be mentioned below, have their own advantages and drawbacks. We need to recognize that there is no 3D bioprinting technology that is free of all defects, nor is there a printing technology that has all the advantages simultaneously. Therefore, in plastic surgery clinical and experimental research, for the actual clinical needs (e.g., skin wound healing, rhinoplasty, ear reconstruction, etc.), it is necessary to select the right bioprinting materials, pick or combine different bioprinting technologies, in order to finally develop a suitable 3D bioprinting strategy.
Biomaterials for 3D bioprinting
The application of 3D bioprinting technology often involves multiple areas of tissue engineering (such as skin, bone, cartilage, etc.). Moreover, the ECM of different tissues has different properties, and the cellular structure within different tissues varies. Therefore, developing a universal printing material is not realistic. Then it becomes crucial to choose the right printing material to fit the different organ tissues. The selection of printing materials is mainly based on the characteristics of printability, biocompatibility, and mechanical properties of bioprinting materials. 1) Printability refers to the moldability of the bioprinting material, which includes a tunable material viscosity, the ability to rapidly transition the material from the sol to the gel state, and a wide range of printing parameters. 2) Biocompatibility refers to the biomimetic ability of bioprinting materials. As cells need to grow, add value, and differentiate in an environment where bioprinting materials are present, bioprinting materials should be able to mimic the biological environment of the repair site as closely as possible. Some printing products need to be retained in the body for a long time, requiring low cytotoxicity. 3) Mechanical properties refer to the requirement that the bioprinting material has a certain structural strength to ensure that the subsequent culture and implantation process will not be structurally deformed. Moreover, some bioprinting constructs may undergo nutrient perfusion as well as biological degradation during in vitro culture. The lack of certain mechanical properties will eventually lead to the destruction of the structure of the bioprinting product. In summary, the selection and design of printing materials requires consideration of factors such as bioprinting technology, structural requirements, and the type and growth of cells. A reasonable combination of these three properties is assembled to finally arrive at the optimal choice [63,64,65,66]. Next, we will introduce the 3D bioprinting materials commonly used today and briefly describe their respective properties (Table 2).
Inorganic biomaterial
Inorganic materials, mainly metals and bioceramics, have been widely used in the biomedical field. Metallic biomaterials such as titanium and its alloys are widely used in bone tissue engineering because of their high strength, low modulus of elasticity and low-density structure. For example, the two teams of Wang and Xu successfully prepared different bone tissue bioscaffolds using Ni46.5Ti44.5Nb9 and Ti35Zr28Nb alloys, respectively. The scaffolds showed excellent mechanical property. Moreover, in vitro experiments showed that the cells attached to the scaffolds grew and proliferated well [67, 68]. In addition, bioceramic materials have good biocompatibility, osteoconductivity and corrosion resistance. And, although it does not perform well in terms of tensile strength, its performance in terms of compressive strength is high (data show that its compressive strength is ten times higher than its tensile strength). Making it a very promising material for 3D bioprinting [69]. In particular, the calcium phosphate composition of bioceramics is similar to the mineralogical structure of natural bone. Therefore, it is considered to have potential as a long-term implant for bone tissue [70]. Further, inorganic materials, such as clay, hydroxyapatite, graphene, carbon nanotubes, and other silicate nanoparticles are also being used in 3D bioprinting research due to their respective mechanical properties, printability, and other characteristics [71]. It should be noted that most inorganic materials do not exhibit extremely high biocompatibility, so they are more often designed and formulated as biomaterial inks for printing 3D scaffolds in practical applications. However, some inorganic materials can also be mixed in hydrogels when designing biomineralization strategies for bioinks, adjusting the microenvironment to induce targeted cellular functions. For example, Neufurth et al. have designed a polyphosphate(polyP)-rich bioink composed of N, O-carboxymethyl chitosan, alginate and gelatin, and polyP which improves the survival and migration propensity of mesenchymal stem cells (MSCs). Moreover, it promotes the differentiation of MSCs to mineral-depositing osteoblasts [72]. This type of research expands the scope of application of inorganic materials in bioprinting.
Synthetic polymers
Currently, a wide range of synthetic polymers can be used in the preparation of biomaterial inks. However, synthetic polymers usually have good mechanical properties but lack robust biocompatibility. Thus, among synthetic polymers, the most widely used are still biomaterials represented by polycaprolactone (PCL), polylactide (PLA) and polyurethane (PU).
PCL shows good biocompatibility and low biodegradation rate, and is now widely used in biomedical fields. For example, Kolan's team added a highly angiogenic borate bioactive glass to PCL for use in bioink, validating the feasibility of a bioink with a PCL/bioglass component. Moreover, the osteogenic effect of PCL-based 3D scaffolds is significantly better than that of PLA-based 3D scaffolds. However, the hydrophobic nature of PCL often leads to a lower cell survival rate of the constructed bio-scaffolds [73, 74]. PLA has good ductility and stiffness, processability, biocompatibility, and a fast biodegradation rate. Sun et al. designed two stereoisomers based on PLA, [poly-l-lactic acid/polyethylene glycol/poly-l-lactic acid] and [poly-d,l-lactic acid/polyethylene glycol/poly-d,l-lactic acid] which changed the hardness of their constituent hydrogels and further broadened the application of PLA. However, the release of acidic by-products during degradation and the brittleness of PLA, limit its application in tissue engineering [75, 76]. PU has become one of the most popular synthetic polymers in the biomedical field due to its biocompatibility, high elasticity, adjustable physicochemical and degradation rate properties [77]. Although these synthetic polymers have been studied extensively in the field of bone and cartilage tissue engineering, synthetic polymers do not equal the biocompatibility of natural polymers. Therefore, synthetic polymers play a role in 3D bioprinting mainly as a physical and mechanical framework support. They can be prepared in combination with growth factors and other components to become biomaterial ink involved in 3D scaffolds, bioimplants, and other 3D printed constructs without cellular components.
Natural biopolymer
There is a wide range of natural biopolymers, some are water-soluble. This means that these natural polymers can be cell-friendly biosolvents and can be prepared as hydrogels. Because of their mobility, they can all theoretically be designed as bioinks together with seed cells. Then, with computer aided design models, they can be 3D bioprinting according to the principle of layer-by-layer printing. These hydrogels not only exhibit viscoelastic behavior that mitigates shear-induced cell damage during printing, but also mimic the complex microenvironment of the natural extracellular matrix (ECM). In past research, many natural hydrogels (e.g., Alginic acid, gelatin, collagen, fibrin, and decellularized ECM [dECM]) have been considered ideal materials for the preparation of bioinks due to their biocompatibility, intrinsic bioactivity, and structural similarity to natural ECM).
Alginic acid (Alg), also known as fucoidan, is an anionic polysaccharide extracted from brown algae. Due to its relatively low cost, good biocompatibility, easily adjustable rheological and mechanical properties, as well as the ability to be chemically cross-linked by divalent cations (e.g., Ca2+, Sr2+ and Ba2+), it is widely used in the preparation of bioinks. However, Alg-based hydrogels often have insufficient viscosity, resulting in reduced cell viability [78,79,80]. Park's team showed that the viscosity of cell-containing sodium Alg hydrogels is highly dependent on factors such as polymer concentration, molecular weight, as well as cell phenotype and density. Usually, when cells are mixed into sodium Alg hydrogels with high polymer concentrations, their biological activity is greatly limited after chemical cross-linking. The lower concentration of sodium Alg hydrogel helps improve cell viability and proliferation [81]. However, if the concentration of sodium Alg hydrogel is consistently reduced, even after chemical cross-linking, the mechanical strength of the 3D structure of the final printed product will be drastically reduced, leading to the failure of the print.
Collagen (COL) is a protein that is widely found in human connective tissue and ECM. Due to its ease of extraction, printability and biocompatibility, COL has been used in the bioprinting of various organ tissues. In particular, type I and type II COL have been widely used for bone and cartilage repair [82, 83]. Moreover, researchers have indicated that the biofunctionality and printability of COL-based hydrogels can be enhanced by mixing or cross-linking with other bioprinting materials (agarose, GEL, fibrin, calcium phosphate, etc.) [60, 84,85,86]. However, other biological properties of COL-based hydrogels, such as cytocompatibility, will inevitably be affected when other printing materials are added. Thus, selecting a properly designed bioink formulation is key to the success of this type of hydrogel printing.
Gelatin (GEL), a derivative of COL, is a protein with low cytotoxicity and water solubility, which can be extracted from a variety of mammals. Although GEL and its derivatives are less viscous, they have been widely used in 3D bioprinting due to their excellent biocompatibility, high water absorption, rapid biodegradability, low immunogenicity, thermal responsiveness, and the presence of Arginine-Glycine-Aspartic Acid (RGD) motifs [87, 88]. Moreover, GEL can be prepared into a photosensitive hydrogel by methacrylating modification (GelMA), that can be excited by UV or visible light for photocuring reactions. This type of hydrogel has excellent biocompatibility along with better printability and mechanical properties. However, the UV cross-linking may damage cellular DNA [89, 90]. A more secure and reasonable printing method is something that research scholars should explore further.
Hyaluronic acid (HA) is a non-sulfated glycosaminoglycan composed of D-glucuronic acid and N-acetyl-D-glucosamine, which is the main component of ECM. HA has good biocompatibility and biodegradability and plays an important role in cell proliferation, angiogenesis, and cell receptor interactions [91, 92, 101]. It was found that the mechanical and biological properties of hydrogels varied when prepared using HA with different molecular weights. Controlling the molecular weight of HA to prepare suitably functional hydrogels helps improve bioprinting [93].
Silk fibroin (SF) is a natural polymeric protein extracted from natural silk. With its excellent biocompatibility, biodegradability, processability, and excellent mechanical properties, it is considered by researchers to be a promising bioprinting material [94, 95, 102]. However, its β-sheet stacking structure, low viscosity and other properties lead to difficulties in 3D bioprinting applications [103, 104]. Nevertheless, Kim et al. used methylation modification to enhance the rheological properties of SF hydrogels, which allowed for the preparation of printed products with good biocompatibility and mechanical properties [105]. Exploring further modifications to enhance the printability and mechanical properties of SF shows excellent research prospects.
Chitosan (CHO) is a natural polysaccharide formed by deacetylation of chitin extracted from shrimp shells. Due to its good biocompatibility, biodegradability, and antibacterial characteristics, CHO is widely used in the preparation of bioprinting products such as biological scaffolds and drug delivery systems [106]. Moreover, CHO-based biologic constructs have shown excellent healing promotion in chronic wounds [107]. Bioink based on CHO research design is expected to manage the healing of chronic wounds such as clinical diabetic ulcers.
In recent years, the concept of dECM in 3D bioprinting has gradually emerged. Specifically, dECM is the removal of the original cells from the target tissues and organs, while preserving the ECM fraction. After cell removal, the remaining constituents of the target tissue are highly preserved. Moreover, the formulation of these components as bioink provides an excellent cell-specific microenvironment which preserves cell-specific functions [108, 109]. The human body has different tissues and organs, and it is difficult to realistically simulate the microenvironment of human cells using only one, or several combinations of, designed bioprinting materials. And the dECM-based design of bioink is expected to solve this problem in a real sense. Currently, dECM has been applied to skin, cartilage, fat, and other tissue engineering applications. Although dECM still has problems such as compositional inconsistency, low mechanical properties, and potential immunogenicity [108,109,110], researchers are gradually compensating for its mechanical and biological deficiencies through modification [111]. There is no doubt that the dECM-based bioink is a transformative breakthrough in 3D bioprinting technology.
It is worth noting that the bioink based on most of the above materials has poor mechanical properties of the structure after printing, making it difficult to meet the needs of practical applications. Currently, many experiments have shown that the printed structure can undergo thermal, chemical, and light curing to improve the structural stability of the product. In addition, light curing technology is the most widely used, because it can directly improve the mechanical properties of biologic structures while meeting the requirements of cytocompatibility, degradability, and ease of operation [112]. Specifically, this involves the use of photosensitive hydrogels as one of the components of bioink. After printing the bioink into a 3D biological construct, it is exposed to artificial UV or visible light. UV cross-linking of the photosensitive components in the printed structure, leading to curing of the printed structure. Both light duration and temperature can affect the mechanical properties of the final printed structure [112, 113]. In addition to the GEL mentioned above which can be prepared as GelMA, such as HA, SF, algae gum, PCL, etc. can be prepared as corresponding photosensitive biomaterials by methacrylating. These photosensitive materials generated by methacrylating modifications have enhanced mechanical properties through UV cross-linking reactions while retaining the biological properties of the underlying materials, and greatly expanding the scope of applications of 3D bioprinting in the field of regenerative medicine [114,115,116,117].
As mentioned at the beginning of this section, there is still no one universal 3D bioprinting material. However, further expansion of the range of applications for different 3D bioprinting materials is indeed one of the goals that a wide range of researchers are currently striving to achieve. Fortunately, the advent of composite technology has allowed various bioprinting materials to exploit their own strengths while compensating for their respective shortcomings in terms of mechanical properties and biological characteristics [118]. Firstly, the further use of natural polymeric materials for 3D bioprinting is hindered by their often lack of good mechanical properties and printability. Moreover, synthetic polymers have better mechanical properties but are less biocompatible. Therefore, a bioink strategy combining both natural biomaterials and synthetic polymers is a more likely solution to be considered. For example, García-Lizarribar et al. combined poly (ethylene glycol) diacrylate with GelMA to obtain a photopolymerisable hydrogel mixture. The bioink prepared based on this composite hydrogel prints 3D structures with better mechanical properties and resistance to degradation, which can be applied to 3D bioprinting of muscle tissue [96]. Suo et al. have designed a composite bioink based on chitosan and collagen. They have greatly enhanced the mechanical properties and printability of the chitosan/collagen composite bioink through hydrogen bonding [97]. Similarly, composites based on different types of synthetic polymers can also be used for 3D bioprinting(e.g., combination of PLA and PCL) [98]. However, bioinks designed solely based on synthetic polymers can lead to relatively poor biocompatibility of the final printed product, which remains a problematic issue [99]. In addition, as 3D bone tissue scaffolds require good biocompatibility and high strength mechanical properties. Single types of bioprinting materials are difficult to meet these needs, so composite based 3D bone tissue scaffolds have been a hot topic of research [119,120,121]. In particular, the combination of inorganic materials and natural biomaterials provides excellent mechanical properties while mimicking the microenvironment of bone tissue cells to the greatest extent possible (e.g., the combination of Hydroxapatite and GEL) [100, 122]. In short, although different bioprinting materials have their own strengths and weaknesses, we can highlight the strengths and compensate for the weaknesses of the materials as much as possible by combining different bioink strategies. With this approach, we can more easily broaden the range of applications of different bioprinting materials, design appropriate bioink strategies for different clinical needs and accelerate the clinicalization of 3D bioprinting.
Functionalization of bioink
In addition to bioprinting materials, the components of bioink require some functionalized formulations (e.g., extracellular vesicles, growth factors, seed cells, etc.) to refine their biological properties and enable them to perform specific biological functions to meet the needs of different practical applications. Extracellular vesicles (EVs) are cell-secreted nanoscale vesicles that can be extracted from the extracellular fluid (e.g., blood, urine, milk, etc.) from a wide variety of organisms. In particular, the paracrine action of MSCs-derived EVs (MSCs-EVs) is thought to have a function in promoting repair and regeneration [123, 124]. It is well recognized by researchers that MSCs-EVs stimulate high expression of target cell-related signaling pathways and induce tissue repair and regeneration mainly through their encapsulated proteins, RNA, lipids, and other components [125]. The design of EVs as functional formulations to enhance the biological properties of bioinks is a current research hotspot and has been applied to the construction of different 3D biological constructs [126,127,128]. The growth factor (GF) component of bioink also plays an important biological function, regulating the microenvironment to be suitable for cell growth and differentiation [129]. Selecting a suitable GF for bioink can specifically and rapidly promote the growth and differentiation of target cells, and enhance the cell purity within the bioink. Therefore, GFs have been widely used in the bioprinting of various tissues and organs [130,131,132,133]. However, too rapid release of GFs is not conducive to cell growth and differentiation. The slow-release strategy designed by Yi et al. promoted better performance of GF’s biological functions [134], expanding the application of GF in 3D bioprinting.
The seed cells encapsulated in bioink are a key part of bioprinting. Moreover, MSCs are the preferred seed cells due to their abundant source, multidirectional differentiation ability, low immunogenicity, and paracrine effect [135]. Due to the ease of extraction and low cost, human umbilical vein endothelial cells with stem cell potential, as well as MSCs such as human pulp stem cells, fat-derived MSCs, and bone marrow MSCs, have been widely used in 3D bioprinting [135,136,137]. In addition, mature cells derived by stem cell-derived differentiation or extracted from primary, mature, human tissue, can also be used as seed cells of choice. Because the structure and function of mature cells are fixed, printed 3D biological structures can play a more stable role in specific tissues and organs [138, 139].
However, just as it is difficult to have a perfect bioprinting technology, even with the emergence of dECM-based biomaterial applications, there is still no perfect bioprinting material. Overall, inorganic biomaterials generally exhibit excellent mechanical properties but are not ideal in terms of biocompatibility and printability. Synthetic polymers generally have good mechanical properties and printability, but are not as biocompatible. Although natural biopolymers are mostly biocompatible, they usually have poor mechanical properties. Moreover, the biological characteristics of bioink without functional components are not optimal, but the purely biofunctional components are separated from the bioink environment and will be rapidly degraded. No matter the advantages and disadvantages of the bioprinting material, it is not advisable to use only a single bioprinting material to produce printing products. Combinations of two or even more biomaterials allow for design of biomaterial inks or bioinks to compensate for each other's material defects. This allows us to better meet the need for extracellular environment simulation and ensure the structural properties of the printed product.
The fourth dimension of bioprinting—4D bioprinting
4D printing is essentially a 3D printing technology. 4D printing is characterized by a multi-material printing capability over time, or a customized material system that can change from one shape to another. Therefore, 4D bioprinting technology can be summarized as follows: special 3D bio-constructs with biological activity are exposed to a predetermined stimulus, and their function, shape, and properties can change over time [26, 140, 141].
4D Bioprinting based on shape transformation
Most common in 4D bioprinting are bioprinting products capable of shape transformation. It is mainly divided into two categories: restoring and not restoring the original shape after transformation [141]. Researchers have now discovered multiple ways to alter the original structure of the printed product, including manual folding, cellular traction, and stimulus response. However, it is difficult to achieve precise control using manual and cell traction folding of the 4D printing product structure. Therefore, in order to achieve refined control, smart printing materials based on stimulus response are still the most widely used [142]. Stimulus-responsive materials can undergo conformational changes in response to specific stimulus conditions (e.g., temperature, pH, humidity, electricity, magnetic field, light, acoustics, or a combination of these stimuli). These conditions can be broadly classified as physical and chemical stimulation.
Smart Printing materials that respond to physical stimulation
Cellulose stearate-based bilayer smart biomaterials can change their shape by shrinking or expanding in response to changes in humidity. And it enables fast reversible bending motion and continuous shape transformation (Fig. 3A). However, it is important to note that wet-sensitive 4D printing materials have only appeared in the early studies of 4D bioprinting. Although they can be used for 4D bioprinting, the cells in the bioink need to maintain constant humidity and osmotic pressure during the culture process, so morphological transformation of biomaterials is limited [143]. In addition, in response to temperature stimulation, researchers have developed and designed smart materials that can respond to temperature (Fig. 3B). Currently, temperature-responsive materials designed with a base of poly(N-isopropylacrylamide) are considered to be among the most promising materials for 4D bioprinting. Apste et al. has developed a 3D scaffold that is capable of self-curling in a 37 °C water environment [144]. However, due to limitations such as low biocompatibility, hydrophobicity, and non-degradability [145], the practical application of temperature-responsive smart materials in bioprinting has yet to be explored further.
With better biocompatibility and mechanical properties, smart materials that respond to electrical stimulation are rapidly developing in the biomedical field [150]. Smart materials that respond to electrical stimulation achieve shape transformation of materials in two main ways: by using electroactive materials and by using cellular structures driven by electrical stimulation to achieve movement. 1) Electroactive materials: Under electrical stimulation, polyelectrolyte polymers can swell, shrink, fold or bend, and these shape shifts can be regulated depending on the direction and strength of the electric field. Currently, conductive polymers with good biocompatibility, such as polypyrrole, polyaniline and polythiophene, are being widely used in hydrogel research, showing good potential for 4D bioprinting [151, 152]. In addition, in recent years, electro-responsive materials based on carbon-based nano-biomaterials such as graphene and carbon nanotubes have been employed in 4D bioprinting. Servant's team developed a macroporous scaffold based on graphene with good mechanical properties, the ability to respond to electric fields and thermal properties. It also exhibited the ability to promote neurogenic differentiation of human bone marrow MSCs [146] 2) Cell-driven by electrical stimulation: refers to the remote control of cells to a predetermined location or directing cells to a specific direction by the action of an electric field [153]. The feasibility of the above design was demonstrated by culturing skeletal muscle strips on a 3D structure based on polyethylene glycol bisacrylate hydrogels [154] (Fig. 3C). However, during the use of electrically responsive smart material technology, as the applied current increases, local overheating as well as cell rupture and death may occur, which will cause the final printing product to fail. The design of safer electrically stimulated smart materials may be a hot topic of research in future studies.
Researchers have designed smart materials that respond to magnetic fields using magnetic particles and nanoparticles (e.g., containing magnetic components such as iron, cobalt, nickel and their oxides) (Fig. 3D). Several studies have shown that these materials can be used to design drug release systems. For example, by combining Fe3O4 nanoparticles with polyethylene glycol agar hydrogels, drug delivery systems can respond to magnetic field stimulation [147]. Moreover, due to the paramagnetic properties of nanoparticles, magnetic levitation assembly of cells or micro tissues is realized [155]. However, smaller nanoparticles (< 50 nm in diameter) can cross biological membranes and adversely affect tissue function by inducing inflammation, generating reactive oxygen species, impeding DNA function, and inducing apoptosis. Therefore, we should focus on the biocompatibility of their nanoparticle components when selecting smart materials that respond to magnetic field stimulation [156].
As the selection of 4D bioprinting materials continues to grow, researchers have developed smart biomaterials that can respond to optical and acoustic stimulation. In particular, photosensitive materials exhibit high strain shape memory and self-healing capabilities by virtue of their polymer chain photoisomerization and photodegradation response mechanisms (Fig. 3E). Therefore, it has been widely used in tissue engineering and biomedical fields [148, 157]. However, the phototoxicity of photoinducers and the attenuation effect of light penetration through tissues still limit this technique, which is difficult to overcome. In recent years, acoustically sensitive materials have received much attention due to their non-contact stimulation and their fast and accurate shape transformation capabilities (Fig. 3F). However, this material is currently limited to only linear modes of transformation of the material shape, and only homogeneous-cell-populations can be constructed [145, 149]. Research on the use of this material to construct complex heterogeneous constructs should be further explored.
Smart printing materials that respond to chemical stimulation
The pH of the environment in which the material is placed is controlled by adding polyelectrolytes containing weakly acidic or basic groups (such as carboxyl, pyridine, sulfonic acid, phosphate, etc.) to the printing material. These groups then release or accept protons, which cause structure or property shifts in this pH-responsive material (Fig. 4A). The components of pH-responsive smart materials are divided into two categories: basic and acidic monomeric polymers. Basic monomer polymers behave as cationic polymers under acidic conditions, while acidic monomer polymers behave as anionic polymers under basic conditions [156, 158]. However, because of their poor mechanical properties, it is often necessary to add other synthetic materials when designing this smart material to ensure the structural stability of the final product [159, 160]. Moreover, these PH-responsive materials inevitably produce compounds when they change shape under the influence of acid–base environment. The potential cytotoxicity of these chemistry by-products and their possible impact on the structure of the material need to be avoided during the design process [140].
In addition, in order to make materials with higher structural strength, some materials containing multivalent ions (Ca2+ or Zn2+) can be designed as smart materials in response to ionic stimulation. For example, hydrogels designed based on hydrogen bonding-calcium ion interactions exhibit shape memory capabilities under reversible calcium ion action. Moreover, these materials showed good biocompatibility and biodegradability in experiments [161, 164, 165] (Fig. 4B). However, multivalent ions such as Ca2+ or Zn2+ regulate vital bodily functions and are important indicators for monitoring many diseases. Therefore, the inclusion of a dynamic monitoring and response system for polyvalent ion concentration in this smart material design to avoid the impact of polyvalent ions in the material on clinical data should be explored in the future.
In addition to the above-mentioned smart materials based on ionic cross-linking, researchers have designed biostimulus-responsive materials using the feedback regulation of biomolecules (nucleic acids, proteins, peptides, etc.) in the human body. They function through adjustable bio-covalent orthogonal cross-linking and specific peptide folding-mediated effects to achieve dynamically regulated cross-linking and functionalization of printed biomaterials (Fig. 4C). This technology has been used to create an ECM environment that simulates dynamic changes and to design a modular peptide system capable of dynamically changing 3D printed structures [162, 166]. As highly specific and functional biomolecules, enzymes play a key role in regulating physiological functions. Biostimulus-responsive smart materials designed based on bioenzyme stimulation have great research potential. Experiments have already demonstrated the feasibility of using hydrogel materials loaded with multiple enzymes for bioprinting applications [163, 167] (Fig. 4D). However, in recent years, the research on 4D printing materials of biological enzymes has been mostly limited to the application of the degradation function of enzymes, and smart materials designed based on stimulation of other functions of biological enzymes need to be further explored.
4D Bioprinting based on functional transformation
4D bioprinting for functional transformation is a concept that has been gradually refined. Unlike 4D bioprinting based on shape transformation, this printing technology is currently considered primarily for the printing and differentiation of stem cells to achieve functional specificity of the final printed product. Specifically, this technology features the construction of finely arranged or layered microstructures which mimic the microenvironment of cell differentiation and promote targeted maturation of seed cells [168, 169]. Miao's experiments demonstrate that the smart material prepared by this technology has the ability to regulate the proliferation and differentiation of human bone marrow MSCs [170]. This technology may be applied to muscle and nerve tissue engineering in the future.
To summarize, the breakthrough from 3 to 4D bioprinting is a revolution in design technology based on printing materials. By adapting the design strategy for bioprinting materials, 3D biological constructs that change in structure and function over time are ultimately produced. The disciplinary characteristics of plastic surgery are well suited to 4D bioprinting with smart materials. In plastic surgery, wound dressings, auricular implants, nasal septal implants, etc. must be placed in the treatment and surgical area for a prolonged period and sometimes permanently. 4D smart materials have the potential to persist in living organisms for a long time and change structural functions in response to stimulation to adapt to changes in the surrounding environment of the material. The application of 4D bioprinting technology in plastic surgery may be a hot topic for further research. Smart material design may be an effective method to solve the current problems in clinicalization of bioprinting technology.
Bioprinting for plastic surgery applications
Plastic surgery is the use of surgical methods, or tissue and organ transplantation, to repair and reconstruct defects and deformities of human tissues and organs, as well as to reshape the normal human form to achieve improvement and beautification of form and restoration of function. Plastic surgery involves the repair and reconstruction of a wide range of organ tissues. The problems of infection, pain, and deformity associated with the use of (autologous and allogeneic) grafts in clinical surgery and destructive surgery to the donor area are constantly raising the bar for plastic surgeons. 3D bioprinting not only allows the printing of a variety of different functional cells, ECM, cell growth factors, and biodegradable polymer support materials, but also for personalized and customized implants based on patient needs, including in situ printing directly on the patient's affected area to promote wound repair. The advent of these technologies has greatly reduced the difficulty of surgery, avoided surgical sequelae, and made it possible to achieve true precision medicine [6, 7]. We will highlight the latest research results of 3D bioprinting technology in key areas of plastic surgery, including: skin regeneration and healing, ear reconstruction, rhinoplasty, breast implantation, and maxillofacial bone repair.
Skin wounds
Patients with severe burns, diabetic ulcers, tumors, or other etiologies develop severe skin tissue defects and lose the possibility of complete self-regeneration of the skin. Usually, plastic surgeons choose autologous epidermal grafting and autologous flap (bone flap) grafting in clinical treatment according to the patient's skin defect. However, there are still some difficult problems with traditional treatment methods [4, 171, 172]. 3D bioprinting of skin tissue products offers new methods for plastic surgeons to treat skin disorders and promote skin regeneration. GelMA is widely used in skin tissue engineering because of its excellent biocompatibility and light-curing properties. Y Shi et al. proposed the use of a new bioink made of GelMA and COL mixed with tyrosinase to help form the epidermis and dermis [173]. In addition, Lin et al. showed that Si-GelMa, which is made by incorporating Si into GelMA, has a slower degradation rate and enhances the activity of human dermal fibroblasts without reducing its own printability point [174]. Furthermore, Jang et al. also demonstrated the therapeutic effect of GelMA hydrogel containing vascular endothelial growth factor mimetic peptide on wound healing through animal experiments [175]. CHO is also considered to be a biomaterial with great potential in the field of skin repair. Intini's team evaluated CHO's behavior in terms of biocompatibility, cytocompatibility, and toxicity to human fibroblasts and keratin-forming cells through in vitro experiments, demonstrating its great value in the field of skin regeneration [176]. Similarly, Sandri et al. successfully experimentally prepared CHO/glycosaminoglycan-based bioscaffolds for the repair of severe skin lesions, during which they again demonstrated the excellent physicochemical characteristics of CHO materials for skin tissue engineering [177]. Chun-Hsu Yao et al. cross-linked CHO scaffolds with non-toxic genipin and further heparinized it to immobilize the chemokine stromal cell-derived factor-1 (SDF-1) in it. By studying the physicochemical properties and wound healing activity of SDF-1-loaded CHO stents, it was confirmed that SDF-1 therapeutic stents enhanced neovascularization in local wounds and could promote the healing of local skin tissue [178].
Full-thickness skin regeneration remains a difficult clinical challenge. Dong et al. re-cross-linked porcine small intestinal submucosa (SIS) with a four-armed polyethylene glycol (fa-PEG) containing succinimidyl glutarate terminal branches to create a 3D bioactive sponge (SIS-PEG). It has the potential to be an excellent solution to this problem. This study revealed that isolated epidermal and dermal cells loaded with SIS-PEG formed reconstructed skin with regenerated hair after 21 days of treatment [179] (Fig. 5A). Also, Peng Chang introduced the concept of a minimal functional skin unit (MFU): autologous skin with full thickness skin microstructure and complete functional skin unit. They used both nonwoven CHO/ GEL and polylactide-caprolactone COL gel scaffolds to load the MFU. MFU-loaded bioscaffolds exhibit more robust healing ability than those loaded with single seed cells [180] (Fig. 5B). However, lack of vascular architecture, insufficient induction of angiogenesis, and ineffective graft-host anastomosis are major bottlenecks for permanent skin substitutes in tissue engineering. Ma's team successfully synthesized homogeneous strontium silicate micropillars and integrated them into biomaterial inks as stable cell-inducing factors for angiogenesis. They then bioprinting functional skin substitutes based on angiogenesis-induced bionic multicellular systems [181]. In addition, Li seeded endothelial cells derived from human Wharton's Jelly MSCs into a biological scaffold and implanted it into a dermal defect wound of SD rats. This experiment revealed that the multiscale layered design of a macroporous filamentous protein scaffold with nanofibrous microstructures improved the ability of transplanted cells to promote and accelerate neovascularization and dermal reconstitution through enhanced cellular infiltration, COL deposition, and growth factor expression [182] (Fig. 5C).
For patients with severe burns, autologous epithelial grafting is now clinically available for the treatment of burns covering more than 60% of the body. However, although epidermal tissue can be effectively repaired by autologous epithelial grafting, the therapeutic effect on dermal structures that have been ruptured in deep burns is limited. Roshangar et al. isolated adipose-derived stem cells (ADSC) and inoculated them into a 3D gel scaffold made by a 3D bioprinter. They assessed the morphology and cell adhesion properties of 3D scaffolds by hematoxylin–eosin staining and scanning electron microscopy, and determined cell viability by methylthiazolyl diphenyl tetrazolium bromide analysis. Moreover, an experimental treatment observation on a rat model of whole-layer burns revealed that 3D gel scaffolds with or without ADSC accelerated wound contraction and healing. However, rats treated with gel scaffolds prepared with bioink loaded with ADSC exhibited earlier epithelialization [184]. 3D bioprinting technology combined with stem cells may be the focus of future research aimed at achieving the healing of severe skin lesions.
In addition to basic skin tissue repair, the repair of skin-related appendages is also an important research direction in the field of regenerative medicine, especially for the treatment of hair loss, which has received widespread attention. The biggest challenge for hair follicle reconstruction and repair is to maintain the hair growth-inducing properties of dermal papilla cells (DPCs). Chen et al. used layer-by-layer self-assembly of GEL and Alg to construct Nano-biomimetic ECM of DPCs. They used Ca2+ as a cross-linking agent and created controllable vascularized dermal papilla (DP) spheroids by co-culturing DPCs with human umbilical vein endothelial cells. The results showed that the controlled DP spheroids made by this method were highly similar to native DP spheroids (Fig. 5D). It was also found that nanoscale ECM and vascularization restored the transcriptional characteristics of post-transplant DPCs and tripled the efficiency of hair induction compared to conventional 3D culture [183]. In addition, Zhang et al. constructed a skin model with sweat glands and hair follicles through bioprinting technology. In an observational study of this model, it was found that hair follicle spheroids promoted the differentiation of sweat glands and hair follicles, while sweat gland scaffolds promoted sweat gland differentiation, but had little effect on hair follicle potency in hair follicle spheroids [185]. Current studies on hair follicle regeneration are all in vitro at the cellular level, and there is a lack of reliable animal studies to demonstrate the possibility of hair follicle regeneration. In the future, animal experiments on hair follicle regeneration to demonstrate the feasibility of in vitro culture of hair follicles may be a key step to solve the problem of hair follicle regeneration research from the laboratory to the clinic. Therefore, this research deserves the attention and exploration of the scholars.
Ear reconstruction
The ear has important socio-cultural, aesthetic and functional value, and patients with congenital and acquired ear deformities often bear a great deal of psychological stress. The use of fine autogenous rib cartilage has been the gold standard for ear reconstruction for the past half century. However, the ear reconstruction procedure requires a high level of surgical and artistic skill in obtaining and sculpting the patient's rib cartilage. This ensures that a beautifully reconstructed auricular framework is obtained after the rib cartilage is inserted into the skin pocket in the area of the deformed ear. The introduction of 3D bioprinting technology can greatly reduce the difficulty of surgery and make it possible to customize molds for patients [8, 9] (Fig. 6A). Simply put, this technology first uses DICOM CT images to recreate the external anatomy of the human ear and adjust it to the existing design, then selects the appropriate biomaterial ink or bioink to 3D print the appropriate ear cartilage product [8]. In 2018, the team of Zhou et al. achieved the first international clinical breakthrough with a tissue-engineered ear made from polyglycolic acid/polylactic acid and chondrocytes [186]. However, the postoperative deformation and inflammation demonstrated the immaturity of the technique. In 2022, Jia et al. from the same team proposed a new approach to address the inflammatory response and structural deformation that can occur in reconstructed structures. They used bioactive bioinks based on auricular chondrocytes and biomimetic microporous methacrylate modified decellularized cartilage matrix with the aid of GelMA, polyethylene oxide and PCL to prepare biologic auricular structures with precise shape, low immunogenicity and excellent mechanical properties using integrated multi-nozzle bioprinting technology [187] (Fig. 6B).
Brennan's team has explored a different method of 3D ear cartilage printing. They printed multiple auricular scaffold products using laser sintering PCL and implanted each under the skin of thymus-free rats. The researchers monitored the rats weekly for ulcer formation, infection, and stent deformation in the surgical area. The stents were removed at week 8 and analyzed using micro computed tomography and histological staining. The auricular scaffold they designed and fabricated demonstrated excellent implantation ease, appearance, vascularization, and acceptable superficial wound complication rates in animal models [189]. In addition, co-culture technology is expected to be an effective way to solve the scarcity of auricular chondrocytes in 3D bioprinting. Dong et al. co-cultured auricular chondrocytes with human MSCs at 10/90, 25/75, and 50/50 ratios for 6 months. After several observations, it was possible to obtain structurally well maintained and healthy human elastic cartilage by this method [190]. Posniak et al. chose to use a 3D bioprinting scaffold made from a combination of GelMA and methacrylic acid-hyaluronic acid. They used this scaffold to assist in detecting differences in the results of monoculture and co-culture of human septal chondrocytes (primary chondrocytes, [PC]) and human bone marrow MSCs. The results showed that the co-culture combination of MSCs and PCs exhibited not only cell proliferation mimicking MSCs, but also chondrogenic expression mimicking PCs [191]. These studies represent the possibility of preparing large quantities of elastic cartilage in vitro, marking a key step in the translation of auricular tissue engineering to the clinic.
Enhancing the survival rate of auricular chondrocytes is still a challenge to be solved in cartilage tissue engineering. Xie's team designed a method to cross-link decellularized matrix particles with GelMA hydrogels to produce a micro-tissue bioink. This microtissue bioink has ideal mechanical properties and swelling rates with little effect on printability. The team also produced fine auricular structures using microtissue bioink based on residual ear cartilage cells. The residual ear chondrocytes in the printing products showed excellent performance in both in vitro cell proliferation and in vivo ear cartilage regeneration. The main reason is that this micro-tissue composite bioink, not only can accurately assemble organ building blocks, but also provides a 3D refuge for the cells to ensure the viability of the printed cells [188] (Fig. 6C). This technology has greatly enhanced the proliferation and differentiation of chondrocytes in 3D auricular constructs and is expected to be widely investigated and applied in other areas of cartilage tissue engineering.
Rhinoplasty
Due to tumor, injury, and the patient's own aesthetic needs, plastic surgeons need to reconstruct patient nasal cartilage. However, because nasal cartilage lacks the ability to repair itself well, current rhinoplasty usually uses autologous cartilage or synthetic implants for therapeutic and cosmetic surgical purposes. Autologous cartilage is considered the best choice of graft due to its low immune rejection. As with the ear reconstruction mentioned above, rhinoplasty is considered one of the most challenging plastic surgery procedures due to the high manual and artistic skill required of the surgeon during the procedure. Lan et al. investigated the effect of culture time on the ECM formation and mechanical properties of 3D bioprinting structures of type I COL hydrogels loaded with human nasal chondrocytes in vitro and in vivo. Experiments demonstrate that 3D bioprinting nasal cartilage structures are a viable option for rhinoplasty [192] (Fig. 7A). 3D bioprinting technology promises to significantly reduce the surgical difficulty of rhinoplasty making it possible to customize individual nasal cartilage structures. Specifically, the process of this technique is similar to the 3D bioprinting technique used in ear reconstruction. It also prints customized nasal cartilage models by precisely depositing bioink using patient image data and the assistance of a computer. Interestingly, the teams of Choi et al., Suszynski et al., and De Greve et al. were able to simulate the post-surgical nasal appearance of the patient and the post-surgical nasal cartilage model prior to surgery through 3D modeling and 3D printing techniques. Plastic surgeons can use these mimetic models as a reference to be able to greatly reduce the difficulty for the surgeon and improve patient satisfaction [193,194,195]. Although these techniques are valuable in terms of 3D bioprinting technology and actual surgical operations, the 3D structural models printed do not use active bioprinting materials. Therefore, they are not considered 3D bioprinting techniques.
Ruiz-Cantu's team experimentally investigated the effects of temperature, needle distance, UV exposure time, and cell carrier formulation (GelMA) on the survival and functionality of chondrocytes in bioprinting constructs. GelMA at 20% w/v was found to be the optimal concentration for 3D bioprinting of chondrocytes. After a 50-day culture period, the 3D bioprinting constructs showed neochondral formation and mechanical properties similar to those of nasal cartilage. This study confirms the feasibility of using chondrocyte/GelMA/PCL bioinks for printing nasal cartilage structures [196] (Fig. 7B). In addition, the effect of the microenvironment of the bioink on the chondrocytes also greatly affects the quality of the final printed product. The team of Su-Shin Lee et al. used a supercritical carbon dioxide technique to extract decellularized porcine nasal cartilage (dPNCG). They also developed and constructed a bioactive 3D tissue-based construct consisting of different ratios of ADSC, chondrocytes, and dPNCG. Their study confirmed that dPNCG is an excellent matrix scaffold that provides a suitable microenvironment for chondrocytes and is capable of printing suitable nasal cartilage structures [198].
In cartilage tissue engineering, covalent binding of growth factors to printable bioinks is a challenge that remains unconquered. Hauptstein et al. constructed a two-stage cross-linked hyaluronic acid-based bioink capable of binding growth factor β1 through covalent bonding. The bioink composition produces higher quality cartilage tissue which does not require a continuous supply of exogenous growth factors [197] (Fig. 7C). Based on the advantages of this bioink composition to form printed biological tissue capable of growth and development, it may also be applied to future areas of tissue engineering research.
Breast implants
As people's aesthetic requirements continue to change, the number of patients with breast augmentation requirements is increasing year by year. There are two main types of breast augmentation: breast prosthesis implantation and autologous fat implantation. However, both of these surgical procedures have varying degrees of drawbacks. Autologous fat implantation, simply put, is the transplantation of the patient's own fat tissue into the breast organ. However, due to the early inflammatory factors formed in the grafted fat tissue in the breast and the ischemic and hypoxic environment of the fat tissue, adverse surgical sequelae such as fat resorption, fat necrosis, cavity formation, and tissue fibrosis occur. In contrast, breast prosthesis implantation can achieve breast augmentation in a safer and more convenient way. However, the problems of implant envelope formation, stiffness and late infection make it difficult to fully satisfy the aesthetic needs of patients [2, 199]. The teams of Dilyana Todorova et al. and Shan Mou et al. proposed the use of EVs of ADSC to assist in the transplantation of adipose. However, this technique is not yet mature due to factors such as hypoxic time of adipocytes, insufficient angiogenesis and limited ability of nutrients to penetrate tissue fluid [200]. The advent of 3D bioprinting technology raises the possibility of growing a mature vascularized breast-like adipose tissue structure outside the body through 3D bioprinting technology and then implanting the structure into the patient's breast.
Tong's team first demonstrated the ability of ADSCs to transform into epithelial-like cells through in vitro 3D culture experiments, confirming the positive effect of ADSC on adipose metastasis [201]. In addition, Saljo et al. explored the long-term in vivo viability of 3D bioprinting lipoaspirate-derived adipose tissue (LAT) and its proteomic profile and cellular composition. Experiments have demonstrated that LAT has a good proteomic profile and that its cellular components, including 3D bioprinting adipose ADSC, endothelial progenitor cells and blood vessels, can survive for a long time (Fig. 8A). This result reaffirms the feasibility of 3D bioprinting in adipose tissue engineering [202]. However, the survival rate of adipose tissue in 3D bioscaffolds is still a challenge. Zhou et al. designed and manufactured four types of breast scaffolds using polyurethane. The basic unit cell of each scaffold resembles the lattice structure of an isometric crystal system, and each scaffold has the same porosity, but different mechanical properties. Experiments with a nude mouse model revealed that adipose survival was higher in scaffolds (N5S4) possessing a similar compression modulus to natural breast tissue, and vascularization and mild fibrosis could be observed (Fig. 8B). This lattice-like structural design has led to a further expansion of the study of adipose tissue engineering in the breast [203]. In addition, large volume adipose tissue generation is still a technical challenge. Tissue engineering chambers (TEC) are considered to be an effective technique for generating large volumes of adipose tissue. However, the application of TEC requires reoperation to remove the non-degradable plastic cavity and excise some of the autologous tissue, which greatly hinders its practical use in the clinical setting. To deal with this problem, Zhang et al. devised an improved TEC strategy combining a bioresorbable PCL chamber structure and decellularized adipose tissue (DAT). They prepared a microporous PCL chamber structure and prepared DAT containing basic fibroblast growth factor (bFGF). In a rabbit experimental model, highly vascularized adipose tissue that nearly filled the PCL lumen (5 mL) was regenerated from DAT loaded with 0.5 mL of bFGF. The newly formed tissues had significantly higher expression of adipose genes compared to endogenous adipose tissue in the control group [204] (Fig. 8C). The results of this experiment make it possible to generate large volumes of adipose tissue in vitro using 3D bioprinting technology, and are expected to be applied to clinical treatments and other adipose tissue engineering studies in the future.
Maxillofacial bone restoration
The maxillofacial region is a complex area composed of multiple tissues, including maxillofacial bone, skeletal muscles, gums, and periodontal ligaments. When tissue is lost in the maxillofacial region due to tumors, trauma, and other pathological factors, the patient is often restored using autologous, allograft, or xenograft surgery, and often requires joint treatment by oral, maxillofacial, and plastic surgery [1, 205,206,207]. Since the applications of 3D bioprinting technology in soft tissue and cartilage tissue engineering, etc. have been described above, we now will only review the application of 3D bioprinting technology in the field of plastic surgery for maxillofacial bone tissue repair.
Specifically, the clinical treatment of bone defects in the maxillofacial region is usually dictated by the condition of the maxillofacial bone defect. Since the periosteum has the ability to regenerate and differentiate into osteogenic bone, it is possible to repair small maxillofacial defects using only the periosteum method [208, 209]. For large maxillofacial defects, a combination of seed cells (mostly bone marrow-derived MSCs or ADSC) and a biological scaffold is commonly used for treatment [210]. Bioactive components are also often added to biological scaffolds in some studies to promote proliferation and differentiation of stem cells [205, 211]. Unlike conventional bone tissue engineering studies, Shie et al. prepared a 3D porous bioceramic scaffold by combining two printing techniques. They first prepared ceramic scaffolds using extrusion-based bioprinting, and then printed stem cells directly onto the surface of the ceramic scaffolds using a piezoelectric nozzle. They also verified the hydrophilicity and cell adhesion of polydopamine calcium silicate/polycaprolactone using controlled experiments. Since the printing technology of piezoelectric nozzles can print cells more precisely, it is expected to be used to repair complex bone tissue in the maxillofacial region [212]. However, the use of rigid, solid 3D scaffolds inevitably makes it difficult to adapt to the complex bone tissue structure of the maxillofacial region. Therefore, scaffolds that can inject semi-solid and or gel-like materials directly into the defect have become a more practical and promising design. The research team of Hasani-Sadrabadi et al. designed an Alg-based osteoconductive hydrogel biomaterial with high adhesive capacity, photocrosslinkable and tunable mechanical properties. They demonstrated its good biodegradability, biocompatibility, and osteoconductivity as well as complete maxillofacial bone repair in mouse experiments [213] (Fig. 9A). In addition, COL gels have been shown to better promote soft tissue healing around bone defects, and a study by Salamanca et al. showed that collagenized porcine grafts promote better bone regeneration and reduce bone loss [214]. In recent years, the variety of bone graft substitutes for maxillofacial bone remains limited, which hinders the development of maxillofacial bone tissue engineering. Li et al. successfully prepared porous scaffold structures using skin-derived matrices (ADM) with the aid of micronization techniques. Then, they prepared composite scaffolds with high porosity and interconnected pores by incorporating dicalcium phosphate particles into ultrafine ADM fibers and freeze-drying them to form highly porous structures [215] (Fig. 9B). This new bone graft substitute is expected to be further investigated in maxillofacial bone tissue repair.
Challenges of 3D bioprinting
After decades of development, 3D bioprinting has come a long way. However, there are still many challenges in the application of 3D bioprinting technology in burn patients. On a technical level: 1) Plastic surgery patients have a higher aesthetic demand for improved and repaired tissues and organs, so the 3D model reconstructed from the collected data must be accurate, and even slight deviations may lead to surgical failure. Specifically, in plastic surgery, the main focus is on bone, cartilage and soft tissue repair. The main methods available for data acquisition are still dominated by CT and MRI imaging techniques, and methods that enable more accurate data acquisition deserve further exploration [216,217,218]. 2) Although some simple 3D printing strategies and bioprinting material designs have been proposed with the continuous changes in printing technology, the cost of 3D bioprinting is still very high and requires a high level of operator skill during the entire process. 3)Plastic surgery is a discipline involving the repair of multiple tissues and organs, and the printing strategies and bioprinting materials used for different tissues and organs are bound to be different, which undoubtedly increases the technical requirements of the staff in this discipline. 4) At present, there is still a gap between 3D bioprinting products and clinical practical application, especially full-thickness skin repair, skin follicle repair, with vascular function printing products and other aspects of research awaiting technical breakthroughs. On an ethical level, the source, quality, and safety of cells and materials in 3D bioprinting, as well as the ethical discussion of animal and human experimentation on printed products, are also essential professional questions for those working in the bioprinting field [219].
Conclusions
In conclusion, 3D bioprinting technology allows personalized 3D printed products to be finely tailored to the patient's needs, and avoids the surgical complications and adverse reactions that can occur in traditional surgery. In addition, 4D bioprinting technology can enable printing products to change over time. This biological printing product that changes its shape or function over time provides a new idea for the tissue repair and beautification of plastic surgery. Moreover, 3D bioprinting can produce bioprinting products that meet different needs by selecting different bioprinting technologies and bioprinting material strategies. These printing products have been applied to the repair of skin, ear cartilage, nasal cartilage, maxillofacial bone, etc. in the field of plastic surgery, and show good therapeutic potential. From printing the simplest scaffold bionic structures to 3D bioprinting in practice clinical application, one breakthrough and change in 3D bioprinting technology symbolizes the infinite possibilities of life sciences. However, 3D bioprinting technology still has a long way to go from the laboratory to the clinic, and there are still some difficulties and challenges to face and solve on this road. Only through the continuous efforts of many researchers can 3D bioprinting technology widely used in the clinic to meet the needs of patients.
Availability of data and materials
Not applicable.
Abbreviations
- 3D:
-
Three-dimensional
- DICOM:
-
Digital imaging and communications in medicine
- CT:
-
Computed tomography
- MRI:
-
Magnetic resonance imaging
- STL:
-
Standard tessellation language
- SLA:
-
Stereo lithography appearance
- LAB:
-
Laser-assisted bioprinting
- UV:
-
Ultraviolet
- DOD:
-
Drip-on-demand
- ECM:
-
Extracellular matrix
- ployP:
-
Polyphosphate
- MSCs:
-
mesenchymal stem cells
- PCL:
-
polycaprolactone
- PLA:
-
polylactide
- PU:
-
polyurethane
- dECM:
-
decellularized ECM
- COL:
-
collagen
- GEL:
-
gelatin
- Alg:
-
alginate
- RGD:
-
arginine-glycine-aspartic acid
- GelMA:
-
methacrylate gelatin
- HA:
-
hyaluronic acid
- SF:
-
silk fibroin
- CHO:
-
chitosan
- EVs:
-
extracellular vesicles
- MSCs:
-
mesenchymal stem cells
- GF:
-
growth factor
- MFU:
-
minimal functional skin unit
- PAA:
-
poly (acrylic acid)
- PVDT:
-
poly (2-vinyl-4,6-diamino-1,3,5-triazine)
- PBS:
-
phosphate buffered saline
- PEG:
-
poly (ethylene glycol)
- SIS:
-
small intestinal submucosa
- ADSC:
-
adipose-derived stem cells
- DPCs:
-
dermal papilla cells
- DP:
-
dermal papilla
- PC:
-
primary chondrocytes
- dPNCG:
-
decellularized porcine nasal cartilage
- LAT:
-
lipoaspirate-derived adipose tissue
- TEC:
-
tissue engineering chambers
- DAT:
-
decellularized adipose tissue
- bFGF:
-
basic fibroblast growth factor
- AdhHG:
-
Alg-based adhesive hydrogel
- GMSC:
-
gingival MSCs
References
Chen B, et al. Retrospective study of experience of craniofacial reconstruction. Int Wound J. 2017;14(2):399–407.
Davis S, Rizk J, Gunton JE. Cosmetic Fat Transplantation: A Review. Curr Mol Med. 2021;21(2):133–41.
Ronde EM, et al. Long-term complications of microtia reconstruction: A systematic review. J Plast Reconstr Aesthet Surg. 2021;74(12):3235–50.
Sun BK, Siprashvili Z, Khavari PA. Advances in skin grafting and treatment of cutaneous wounds. Science. 2014;346(6212):941–5.
Lei L, et al. Emerging tumor-on-chips with electrochemical biosensors. TrAC: Trends in Analytical Chemistry. 2022;153;116640.
Jovic TH, et al. 3D Bioprinting and the Future of Surgery. Front Surg. 2020;7: 609836.
Ozbolat IT, Moncal KK, Gudapati H. Evaluation of bioprinter technologies. Additive Manufacturing. 2017;13:179–200.
Reighard CL, Hollister SJ, Zopf DA. Auricular reconstruction from rib to 3D printing. J 3D Print Med. 2018;2(1):35–41.
Jovic TH, et al. Auricular reconstruction: A sociocultural, surgical and scientific perspective. J Plast Reconstr Aesthet Surg. 2020;73(8):1424–33.
Chae S, Cho DW. Biomaterial-based 3D bioprinting strategy for orthopedic tissue engineering. Acta Biomater. 2022. https://doi.org/10.1016/j.actbio.2022.08.004.
Zhao Y, et al. Application of 3D Bioprinting in Urology. Micromachines (Basel). 2022;13(7):1073.
Wang X, et al. Emerging biomaterials for reproductive medicine. Engineered Regeneration. 2021;2:230–45.
Wu Y, Ravnic DJ, Ozbolat IT. Intraoperative bioprinting: repairing tissues and organs in a surgical setting. Trends Biotechnol. 2020;38(6):594–605.
Murphy SV, Atala A. 3D bioprinting of tissues and organs. Nat Biotechnol. 2014;32(8):773–85.
Arslan-Yildiz A, et al. Towards artificial tissue models: past, present, and future of 3D bioprinting. Biofabrication. 2016;8(1): 014103.
Xiang Y, et al. 3D bioprinting of complex tissues in vitro: state-of-the-art and future perspectives. Arch Toxicol. 2022;96(3):691–710.
Ashammakhi N, et al. Bioinks and bioprinting technologies to make heterogeneous and biomimetic tissue constructs. Mater Today Bio. 2019;1:100008.
Tasoglu S, Demirci U. Bioprinting for stem cell research. Trends Biotechnol. 2013;31(1):10–9.
Mandrycky C, et al. 3D bioprinting for engineering complex tissues. Biotechnol Adv. 2016;34(4):422–34.
Yan WC, et al. 3D bioprinting of skin tissue: From pre-processing to final product evaluation. Adv Drug Deliv Rev. 2018;132:270–95.
Vrana NE, et al. From 3D printing to 3D bioprinting: the material properties of polymeric material and its derived bioink for achieving tissue specific architectures. Cell Tissue Bank. 2022;23(3):417–40.
Boland T, et al. Cell and organ printing 2: fusion of cell aggregates in three-dimensional gels. Anat Rec A Discov Mol Cell Evol Biol. 2003;272(2):497–502.
Cui X, et al. Thermal inkjet printing in tissue engineering and regenerative medicine. Recent Pat Drug Deliv Formul. 2012;6(2):149–55.
Stanco D, et al. 3D bioprinting for orthopaedic applications: Current advances, challenges and regulatory considerations. Bioprinting. 2020;20:e00103.
Yi HG, et al. Application of 3D bioprinting in the prevention and the therapy for human diseases. Signal Transduct Target Ther. 2021;6(1):177.
Jang J, et al. Biomaterials-based 3D cell printing for next-generation therapeutics and diagnostics. Biomaterials. 2018;156:88-106.
Raman R, et al. High-resolution projection microstereolithography for patterning of neovasculature. Adv Healthc Mater. 2016;5(5):610–9.
Yue K, et al. Synthesis, properties, and biomedical applications of gelatin methacryloyl (GelMA) hydrogels. Biomaterials. 2015;73:254–71.
Keriquel V, et al. In situ printing of mesenchymal stromal cells, by laser-assisted bioprinting, for in vivo bone regeneration applications. Sci Rep. 2017;7(1):1778.
Guillemot F, et al. Laser-assisted cell printing: principle, physical parameters versus cell fate and perspectives in tissue engineering. Nanomedicine (Lond). 2010;5(3):507–15.
Mondschein RJ, et al. Polymer structure-property requirements for stereolithographic 3D printing of soft tissue engineering scaffolds. Biomaterials. 2017;140:170–88.
Adhikari J, et al. Effects of processing parameters of 3D bioprinting on the cellular activity of bioinks. Macromol Biosci. 2021;21(1):e2000179.
Askari M, et al. Recent progress in extrusion 3D bioprinting of hydrogel biomaterials for tissue regeneration: a comprehensive review with focus on advanced fabrication techniques. Biomater Sci. 2021;9(3):535–73.
Xia Z, Jin S, Ye K. Tissue and Organ 3D Bioprinting. SLAS Technol. 2018;23(4):301–14.
Ozbolat IT, Hospodiuk M. Current advances and future perspectives in extrusion-based bioprinting. Biomaterials. 2016;76:321–43.
Bishop ES, et al. 3-D bioprinting technologies in tissue engineering and regenerative medicine: Current and future trends. Genes Dis. 2017;4(4):185–95.
Li X, et al. Inkjet Bioprinting of Biomaterials. Chem Rev. 2020;120(19):10793–833.
Yang Y, et al. Influence of needle impact velocity on the jetting effect of a piezoelectric needle-collision jetting dispenser. AIP Advances. 2019;9(4):045302.
Saunders R, Gough J, Derby B. Ink Jet printing of mammalian primary cells for tissue engineering applications. MRS Online Proceedings Library. 2004;845(1):71–76.
Saunders RE, Gough JE, Derby B. Delivery of human fibroblast cells by piezoelectric drop-on-demand inkjet printing. Biomaterials. 2008;29(2):193–203.
Cui X, et al. Cell damage evaluation of thermal inkjet printed Chinese hamster ovary cells. Biotechnol Bioeng. 2010;106(6):963–9.
Lim KS, et al. Bio-resin for high resolution lithography-based biofabrication of complex cell-laden constructs. Biofabrication. 2018;10(3):034101.
Michael S, et al. Tissue engineered skin substitutes created by laser-assisted bioprinting form skin-like structures in the dorsal skin fold chamber in mice. PLoS ONE. 2013;8(3):e57741.
Koch L, et al. Laser assisted cell printing. Curr Pharm Biotechnol. 2013;14(1):91–7.
Ikehata H, Ono T. The mechanisms of UV mutagenesis. J Radiat Res. 2011;52(2):115–25.
Guillotin B, et al. Laser assisted bioprinting of engineered tissue with high cell density and microscale organization. Biomaterials. 2010;31(28):7250–6.
Gao G, et al. Recent strategies in extrusion-based three-dimensional cell printing toward organ biofabrication. ACS Biomater Sci Eng. 2019;5(3):1150–69.
Ostrovidov S, et al. 3D Bioprinting in skeletal muscle tissue engineering. Small. 2019;15(24):e1805530.
Leberfinger AN, et al. Concise review: bioprinting of stem cells for transplantable tissue fabrication. Stem Cells Transl Med. 2017;6(10):1940–8.
Blaeser A, et al. Controlling shear stress in 3D bioprinting is a key factor to balance printing resolution and stem cell integrity. Adv Healthc Mater. 2016;5(3):326–33.
Guo F, et al. Three-dimensional manipulation of single cells using surface acoustic waves. Proc Natl Acad Sci U S A. 2016;113(6):1522–7.
Haisler WL, et al. Three-dimensional cell culturing by magnetic levitation. Nat Protoc. 2013;8(10):1940–9.
Tseng H, et al. A three-dimensional co-culture model of the aortic valve using magnetic levitation. Acta Biomater. 2014;10(1):173–82.
Tseng H, et al. Assembly of a three-dimensional multitype bronchiole coculture model using magnetic levitation. Tissue Eng Part C Methods. 2013;19(9):665–75.
Matai I, et al. Progress in 3D bioprinting technology for tissue/organ regenerative engineering. Biomaterials. 2020;226:119536.
Abdel Fattah AR, et al. In Situ 3D label-free contactless bioprinting of cells through diamagnetophoresis. ACS Biomater Sci Eng. 2016;2(12):2133–8.
Zeng X, et al. Embedded bioprinting for designer 3D tissue constructs with complex structural organization. Acta Biomater. 2022;140:1–22.
Colosi C, et al. Microfluidic Bioprinting of Heterogeneous 3D Tissue Constructs Using Low-Viscosity Bioink. Adv Mater. 2016;28(4):677–84.
Davoodi E, et al. Extrusion and microfluidic-based bioprinting to fabricate biomimetic tissues and organs. Adv Mater Technol. 2020;5(8):1901044.
Hinton TJ, et al. Three-dimensional printing of complex biological structures by freeform reversible embedding of suspended hydrogels. Sci Adv. 2015;1(9):e1500758.
Lee A, et al. 3D bioprinting of collagen to rebuild components of the human heart. Science. 2019;365(6452):482–7.
Rizzo R, et al. Optimized photoclick (bio)resins for fast volumetric bioprinting. Adv Mater. 2021;33(49):e2102900.
Gu Z, et al. Development of 3D bioprinting: From printing methods to biomedical applications. Asian J Pharm Sci. 2020;15(5):529–57.
Groll J, et al. A definition of bioinks and their distinction from biomaterial inks. Biofabrication. 2018;11(1): 013001.
Gao G, et al. Organ Bioprinting: Are We There Yet? Adv Healthc Mater. 2018;7(1):1701018.
Ruan L, et al. Progress in the application of sustained-release drug microspheres in tissue engineering. Materials Today Bio. 2022;16:100394.
Wang S, et al. Pore functionally graded Ti6Al4V scaffolds for bone tissue engineering application. Materials & Design. 2019;168:107643.
Xu W, et al. Novel porous Ti35Zr28Nb scaffolds fabricated by powder metallurgy with excellent osteointegration ability for bone-tissue engineering applications. Mater Sci Eng C Mater Biol Appl. 2019;105:110015.
Ribas RG, et al. Current advances in bone tissue engineering concerning ceramic and bioglass scaffolds: a review. Ceram Int. 2019;45(17):21051–61.
Ginebra MP, et al. Bioceramics and bone healing. EFORT Open Rev. 2018;3(5):173–83.
Garcia-Villen F, et al. Clay minerals as bioink ingredients for 3d printing and 3d bioprinting: application in tissue engineering and regenerative medicine. Pharmaceutics. 2021;13(11):1806.
Neufurth M, et al. 3D bioprinting of tissue units with mesenchymal stem cells, retaining their proliferative and differentiating potential, in polyphosphate-containing bio-ink. Biofabrication. 2021;14(1):015016.
Cheng CH, et al. Fabrication of 3D printed poly(lactic acid)/polycaprolactone scaffolds using tgf-β1 for promoting bone regeneration. Polymers (Basel). 2021;13(21):3731.
Kolan KCR, et al. Bioprinting with human stem cell-laden alginate-gelatin bioink and bioactive glass for tissue engineering. Int J Bioprint. 2019;5(2.2):204.
Magin CM, Alge DL, Anseth KS. Bio-inspired 3D microenvironments: a new dimension in tissue engineering. Biomed Mater. 2016;11(2):022001.
Sun AX, et al. Chondrogenesis of human bone marrow mesenchymal stem cells in 3-dimensional, photocrosslinked hydrogel constructs: Effect of cell seeding density and material stiffness. Acta Biomater. 2017;58:302–11.
Inyang AO, Vaughan CL. Functional characteristics and mechanical performance of pcu composites for knee meniscus replacement. Materials (Basel). 2020;13(8):1886.
Choi YJ, et al. 3D cell printed tissue analogues: a new platform for theranostics. Theranostics. 2017;7(12):3118–37.
Lee KY, Mooney DJ. Alginate: properties and biomedical applications. Prog Polym Sci. 2012;37(1):106–26.
Pawar SN, Edgar KJ. Alginate derivatization: a review of chemistry, properties and applications. Biomaterials. 2012;33(11):3279–305.
Park J, et al. Cell-laden 3D bioprinting hydrogel matrix depending on different compositions for soft tissue engineering: characterization and evaluation. Mater Sci Eng C Mater Biol Appl. 2017;71:678–84.
Lee JM, et al. Bioprinting of collagen: considerations, potentials, and applications. Macromol Biosci. 2021;21(1):e2000280.
Sorushanova A, et al. The collagen suprafamily: from biosynthesis to advanced biomaterial development. Adv Mater. 2019;31(1):e1801651.
Isaacson A, Swioklo S, Connon CJ. 3D bioprinting of a corneal stroma equivalent. Exp Eye Res. 2018;173:188–93.
Xu T, et al. Complex heterogeneous tissue constructs containing multiple cell types prepared by inkjet printing technology. Biomaterials. 2013;34(1):130–9.
Inzana JA, et al. 3D printing of composite calcium phosphate and collagen scaffolds for bone regeneration. Biomaterials. 2014;35(13):4026–34.
Khoeini R, et al. Natural and Synthetic Bioinks for 3D Bioprinting. Adv NanoBiomed Res. 2021;1(8):2000097.
Shin JH, Kang H-W. The development of gelatin-based bio-ink for use in 3D hybrid bioprinting. Int J Precis Eng Manuf. 2018;19(5):767–71.
Kolesky DB, et al. 3D bioprinting of vascularized, heterogeneous cell-laden tissue constructs. Adv Mater. 2014;26(19):3124–30.
Kurian AG, et al. Multifunctional GelMA platforms with nanomaterials for advanced tissue therapeutics. Bioact Mater. 2022;8:267–95.
Lei L, et al. Angiogenic microspheres for the treatment of a thin endometrium. ACS Biomater Sci Eng. 2021;7(10):4914–20.
Guan G, et al. 3D-bioprinted peptide coupling patches for wound healing. Mater Today Bio. 2022;13:100188.
Xue Y, et al. Synthesis of hyaluronic acid hydrogels by crosslinking the mixture of high-molecular-weight hyaluronic acid and low-molecular-weight hyaluronic acid with 1,4-butanediol diglycidyl ether. RSC Adv. 2020;10(12):7206–13.
Choi YJ, Cho DW, Lee H. Development of Silk Fibroin Scaffolds by Using Indirect 3D-Bioprinting Technology. Micromachines (Basel). 2021;13(1):43.
Guan G, et al. Multifunctional Silk Fibroin Methacryloyl Microneedle for Diabetic Wound Healing. Small. 2022;18(51):e2203064.
García-Lizarribar A, et al. Composite biomaterials as long-lasting scaffolds for 3d bioprinting of highly aligned muscle tissue. Macromol Biosci. 2018;18(10):e1800167.
Suo H, et al. Low-temperature 3D printing of collagen and chitosan composite for tissue engineering. Mater Sci Eng C Mater Biol Appl. 2021;123: 111963.
Donik Ž, et al. Computational analysis of mechanical performance for composite polymer biodegradable stents. Materials (Basel). 2021;14(20):6016.
Bharadwaz A, Jayasuriya AC. Recent trends in the application of widely used natural and synthetic polymer nanocomposites in bone tissue regeneration. Mater Sci Eng C Mater Biol Appl. 2020;110:110698.
Lee H, Yoo JM, Nam SY. Additive fabrication and characterization of biomimetic composite bone scaffolds with high hydroxyapatite content. Gels. 2021;7(3):100.
Yasin A, et al. Advances in hyaluronic acid for biomedical applications. Front Bioeng Biotechnol. 2022;10:910290.
Lujerdean C, et al. The contribution of silk fibroin in biomedical engineering. Insects. 2022;13(3):286.
Singh YP, Bandyopadhyay A, Mandal BB. 3D bioprinting using cross-linker-free silk-gelatin bioink for cartilage tissue engineering. ACS Appl Mater Interfaces. 2019;11(37):33684–96.
Zhao Y, et al. Processing, mechanical properties and bio-applications of silk fibroin-based high-strength hydrogels. Acta Biomater. 2021;125:57–71.
Kim SH, et al. Precisely printable and biocompatible silk fibroin bioink for digital light processing 3D printing. Nat Commun. 2018;9(1):1620.
Shoueir KR, et al. Chitosan based-nanoparticles and nanocapsules: overview, physicochemical features, applications of a nanofibrous scaffold, and bioprinting. Int J Biol Macromol. 2021;167:1176–97.
Hafezi F, et al. 3D printed chitosan dressing crosslinked with genipin for potential healing of chronic wounds. Int J Pharm. 2019;560:406–15.
Kim BS, et al. Decellularized extracellular matrix-based bioinks for engineering tissue- and organ-specific microenvironments. Chem Rev. 2020;120(19):10608–61.
Chae S, Cho DW. Three-dimensional bioprinting with decellularized extracellular matrix-based bioinks in translational regenerative medicine. MRS bulletin. 2022;47(1):70–79.
Ha DH, et al. Therapeutic effect of decellularized extracellular matrix-based hydrogel for radiation esophagitis by 3D printed esophageal stent. Biomaterials. 2021;266: 120477.
Xing H, et al. Extracellular matrix-derived biomaterials in engineering cell function. Biotechnol Adv. 2020;42: 107421.
Pagac M, et al. A Review of vat photopolymerization technology: materials, applications, challenges, and future trends of 3d printing. Polymers (Basel). 2021;13(4):598.
Fiedor P, et al. Photochemical study of a new bimolecular photoinitiating system for vat photopolymerization 3d printing techniques under visible light. Catalysts. 2020;10(3):284.
Mo X, et al. Advances in digital light processing of hydrogels. Biomed Mater. 2022;17(4):042002.
Sung K, et al. 3-dimensional bioprinting of cardiovascular tissues: emerging technology. JACC Basic Transl Sci. 2021;6(5):467–82.
Liu J, et al. Current understanding of the applications of photocrosslinked hydrogels in biomedical engineering. Gels. 2022;8(4):216.
Yang L, et al. Ice-inspired lubricated drug delivery particles from microfluidic electrospray for osteoarthritis treatment. ACS Nano. 2021;15(12):20600–6.
Daly AC, et al. A comparison of different bioinks for 3D bioprinting of fibrocartilage and hyaline cartilage. Biofabrication. 2016;8(4):045002.
Wang Z, et al. Pharmaceutical electrospinning and 3D printing scaffold design for bone regeneration. Adv Drug Deliv Rev. 2021;174:504–34.
Murphy C, et al. 3D bioprinting of stem cells and polymer/bioactive glass composite scaffolds for bone tissue engineering. Int J Bioprint. 2017;3(1):005.
Yang J, et al. Cell-laden hydrogels for osteochondral and cartilage tissue engineering. Acta Biomater. 2017;57:1–25.
You F, et al. Homogeneous hydroxyapatite/alginate composite hydrogel promotes calcified cartilage matrix deposition with potential for three-dimensional bioprinting. Biofabrication. 2018;11(1): 015015.
Zeng Y, et al. Biological features of extracellular vesicles and challenges. Front Cell Dev Biol. 2022;10:816698.
Nagelkerke A, et al. Extracellular vesicles for tissue repair and regeneration: evidence, challenges and opportunities. Adv Drug Deliv Rev. 2021;175:113775.
Wong DE, et al. Adipose-derived stem cell extracellular vesicles: a systematic review(✰). J Plast Reconstr Aesthet Surg. 2019;72(7):1207–18.
Reddy LVK, et al. Recent approaches for angiogenesis in search of successful tissue engineering and regeneration. Curr Stem Cell Res Ther. 2020;15(2):111–34.
Elkhoury K, et al. Hybrid extracellular vesicles-liposome incorporated advanced bioink to deliver microRNA. Biofabrication. 2022;14(4):045008.
Maiullari F, et al. In vivoorganized neovascularization induced by 3D bioprinted endothelial-derived extracellular vesicles. Biofabrication. 2021;13(3):035014.
Yang Z, et al. 3D-bioprinted difunctional scaffold for in situ cartilage regeneration based on aptamer-directed cell recruitment and growth factor-enhanced cell chondrogenesis. ACS Appl Mater Interfaces. 2021;13(20):23369–83.
Wang B, et al. Affinity-bound growth factor within sulfated interpenetrating network bioinks for bioprinting cartilaginous tissues. Acta Biomater. 2021;128:130–42.
Del Amo C, et al. Wound-microenvironment engineering through advanced-dressing bioprinting. Int J Mol Sci. 2022;23(5):2836.
Somasekharan LT, et al. Formulation and characterization of alginate dialdehyde, gelatin, and platelet-rich plasma-based bioink for bioprinting applications. Bioengineering (Basel). 2020;7(3):108.
Barrs RW, et al. Engineering a chemically defined hydrogel bioink for direct bioprinting of microvasculature. Biomacromol. 2021;22(2):275–88.
Yi K, et al. Utilizing 3D bioprinted platelet-rich fibrin-based materials to promote the regeneration of oral soft tissue. Regen Biomater. 2022;9:rbac021.
Roseti L, et al. Three-dimensional bioprinting of cartilage by the use of stem cells: a strategy to improve regeneration. Materials (Basel). 2018;11(9):1749.
Yang Z, et al. Stem cell-laden hydrogel-based 3d bioprinting for bone and cartilage tissue engineering. Front Bioeng Biotechnol. 2022;10:865770.
Sun W, et al. A simple and efficient strategy for preparing a cell-spheroid-based bioink. Adv Healthc Mater. 2022;11(15):e2200648.
Coffin BD, et al. FRESH 3D bioprinting a ventricle-like cardiac construct using human stem cell-derived cardiomyocytes. Methods Mol Biol. 2022;2485:71–85.
Bejoy J, Qian ES, Woodard LE. Tissue culture models of aki: from tubule cells to human kidney organoids. J Am Soc Nephrol. 2022;33(3):487–501.
Ashammakhi N, et al. Advances and future perspectives in 4d bioprinting. Biotechnol J. 2018;13(12):e1800148.
Gao B, et al. 4D bioprinting for biomedical applications. Trends Biotechnol. 2016;34(9):746–56.
Ashammakhi N, Kaarela O. Stimuli-responsive biomaterials: next wave. J Craniofac Surg. 2017;28(7):1647–8.
Zhang K, et al. Moisture-responsive films of cellulose stearoyl esters showing reversible shape transitions. Sci Rep. 2015;5:11011.
Apsite I, et al. Porous stimuli-responsive self-folding electrospun mats for 4d biofabrication. Biomacromol. 2017;18(10):3178–84.
Ionov L. 4D biofabrication: materials, methods, and applications. Adv Healthc Mater. 2018;7(17): e1800412.
Servant A, et al. Graphene-based electroresponsive scaffolds as polymeric implants for on-demand drug delivery. Adv Healthc Mater. 2014;3(8):1334–43.
Zhang L, et al. Synergistic therapy of magnetism-responsive hydrogel for soft tissue injuries. Bioact Mater. 2019;4:160–6.
Luo Y, et al. Cell-laden four-dimensional bioprinting using near-infrared-triggered shape-morphing alginate/polydopamine bioinks. Biofabrication. 2019;11(4):045019.
Naseer SM, et al. Surface acoustic waves induced micropatterning of cells in gelatin methacryloyl (GelMA) hydrogels. Biofabrication. 2017;9(1):015020.
Ahadian S, et al. Moldable elastomeric polyester-carbon nanotube scaffolds for cardiac tissue engineering. Acta Biomater. 2017;52:81–91.
Borisova OV, et al. pH- and Electro-Responsive Properties of Poly(acrylic acid) and Poly(acrylic acid)-block-poly(acrylic acid-grad-styrene) Brushes Studied by Quartz Crystal Microbalance with Dissipation Monitoring. Langmuir. 2015;31(27):7684–94.
Song E, Choi JW. Conducting Polyaniline Nanowire and Its Applications in Chemiresistive Sensing. Nanomaterials (Basel). 2013;3(3):498–523.
Lui YS, et al. 4D printing and stimuli-responsive materials in biomedical aspects. Acta Biomater. 2019;92:19–36.
Cvetkovic C, et al. Three-dimensionally printed biological machines powered by skeletal muscle. Proc Natl Acad Sci U S A. 2014;111(28):10125–30.
Sun T, et al. Magnetic alginate microfibers as scaffolding elements for the fabrication of microvascular-like structures. Acta Biomater. 2018;66:272–81.
Tamay DG, et al. 3D and 4D printing of polymers for tissue engineering applications. Front Bioeng Biotechnol. 2019;7:164.
Wan Z, et al. Four-dimensional bioprinting: current developments and applications in bone tissue engineering. Acta Biomater. 2020;101:26–42.
Clarke DE, Parmenter CDJ, Scherman OA. Tunable pentapeptide self-assembled beta-sheet hydrogels. Angew Chem Int Ed Engl. 2018;57(26):7709–13.
Clarke DE, Parmenter CDJ, Scherman OA. Tunable pentapeptide self-assembled β-sheet hydrogels. Angew Chem Int Ed Engl. 2018;57(26):7709–13.
Nadgorny M, Ameli A. Functional polymers and nanocomposites for 3d printing of smart structures and devices. ACS Appl Mater Interfaces. 2018;10(21):17489–507.
Ren Z, et al. Hydrogen bonded and ionically crosslinked high strength hydrogels exhibiting Ca(2+)-triggered shape memory properties and volume shrinkage for cell detachment. J Mater Chem B. 2015;3(30):6347–54.
Aronsson C, et al. Dynamic peptide-folding mediated biofunctionalization and modulation of hydrogels for 4D bioprinting. Biofabrication. 2020;12(3):035031.
Anjum F, et al. Enzyme responsive GAG-based natural-synthetic hybrid hydrogel for tunable growth factor delivery and stem cell differentiation. Biomaterials. 2016;87:104–17.
Jungst T, et al. Strategies and molecular design criteria for 3d printable hydrogels. Chem Rev. 2016;116(3):1496–539.
Tabriz AG, et al. Three-dimensional bioprinting of complex cell laden alginate hydrogel structures. Biofabrication. 2015;7(4):045012.
Unagolla JM, Jayasuriya AC. Hydrogel-based 3D bioprinting: A comprehensive review on cell-laden hydrogels, bioink formulations, and future perspectives. Appl Mater Today. 2020;18:100479.
Devillard CD, et al. Bioinspired multi-activities 4d printing objects: a new approach toward complex tissue engineering. Biotechnol J. 2018;13(12):e1800098.
Gladman AS, et al. Biomimetic 4D printing. Nat Mater. 2016;15(4):413–8.
Irvine SA, Venkatraman SS. Bioprinting and differentiation of stem cells. Molecules. 2016;21(9):1188.
Miao S, et al. Photolithographic-stereolithographic-tandem fabrication of 4D smart scaffolds for improved stem cell cardiomyogenic differentiation. Biofabrication. 2018;10(3):035007.
Lei L, et al. Antimicrobial hydrogel microspheres for protein capture and wound healing. Materials & Design. 2022;215:110478.
Lei L, et al. Magnetic biohybrid microspheres for protein purification and chronic wound healing in diabetic mice. Chemical Engineering Journal. 2021;425:130671.
Shi Y, et al. Tyrosinase-doped bioink for 3D bioprinting of living skin constructs. Biomed Mater. 2018;13(3):035008.
Lin FS, et al. Calcium silicate-activated gelatin methacrylate hydrogel for accelerating human dermal fibroblast proliferation and differentiation. Polymers (Basel). 2020;13(1):70.
Jang MJ, et al. Enhanced wound healing using a 3D printed VEGF-mimicking peptide incorporated hydrogel patch in a pig model. Biomed Mater. 2021;16(4):045013.
Intini C, et al. 3D-printed chitosan-based scaffolds: an in vitro study of human skin cell growth and an in-vivo wound healing evaluation in experimental diabetes in rats. Carbohydr Polym. 2018;199:593–602.
Sandri G, et al. Chitosan/glycosaminoglycan scaffolds for skin reparation. Carbohydr Polym. 2019;220:219–27.
Yao CH, et al. Effect of genipin crosslinked chitosan scaffolds containing SDF-1 on wound healing in a rat model. Mater Sci Eng C Mater Biol Appl. 2020;109: 110368.
Dong Y, et al. Polyethylene-glycol-ornamented small intestinal submucosa biosponge for skin tissue engineering. ACS Biomater Sci Eng. 2019;5(5):2457–65.
Chang P, et al. Large full-thickness wounded skin regeneration using 3D-printed elastic scaffold with minimal functional unit of skin. J Tissue Eng. 2022;13:20417314211063024.
Ma J, et al. 3D printing of strontium silicate microcylinder-containing multicellular biomaterial inks for vascularized skin regeneration. Adv Healthc Mater. 2021;10(16):e2100523.
Li X, et al. Engineering vascularized dermal grafts by integrating a biomimetic scaffold and Wharton’s jelly MSC-derived endothelial cells. J Mater Chem B. 2021;9(32):6466–79.
Chen P, et al. Tissue engineering ECM-enriched controllable vascularized human microtissue for hair regenerative medicine using a biomimetic developmental approach. J Adv Res. 2022;38:77–89.
Roshangar L, et al. Using 3D-bioprinting scaffold loaded with adipose-derived stem cells to burns wound healing. J Tissue Eng Regen Med. 2021;15(6):546–55.
Zhang Y, et al. Using bioprinting and spheroid culture to create a skin model with sweat glands and hair follicles. Burns Trauma. 2021;9:tkab013.
Zhou G, et al. In vitro regeneration of patient-specific ear-shaped cartilage and its first clinical application for auricular reconstruction. EBioMedicine. 2018;28:287–302.
Jia L, et al. Bioprinting and regeneration of auricular cartilage using a bioactive bioink based on microporous photocrosslinkable acellular cartilage matrix. Bioact Mater. 2022;16:66–81.
Xie X, et al. Microtissue-Based Bioink as a Chondrocyte Microshelter for DLP Bioprinting. Adv Healthc Mater. 2022;11(22):2201877.
Brennan JR, et al. Preclinical assessment of clinically streamlined, 3D-printed, biocompatible single- and two-stage tissue scaffolds for ear reconstruction. J Biomed Mater Res B Appl Biomater. 2021;109(3):394–400.
Dong X, et al. Efficient engineering of human auricular cartilage through mesenchymal stem cell chaperoning. J Tissue Eng Regen Med. 2022;16(9):825–35.
Posniak S, et al. Bioprinting of chondrocyte stem cell co-cultures for auricular cartilage regeneration. ACS Omega. 2022;7(7):5908–20.
Lan X, et al. Bioprinting of human nasoseptal chondrocytes-laden collagen hydrogel for cartilage tissue engineering. Faseb j. 2021;35(3):e21191.
Choi YD, Kim Y, Park E. Patient-specific augmentation rhinoplasty using a three-dimensional simulation program and three-dimensional printing. Aesthet Surg J. 2017;37(9):988–98.
Suszynski TM, et al. Three-dimensional printing in rhinoplasty. Plast Reconstr Surg. 2018;141(6):1383–5.
De Greve G, et al. Three-Dimensional Technology in Rhinoplasty. Facial Plast Surg; 2022.
Ruiz-Cantu L, et al. Multi-material 3D bioprinting of porous constructs for cartilage regeneration. Mater Sci Eng C Mater Biol Appl. 2020;109: 110578.
Hauptstein J, et al. Tethered TGF-beta1 in a hyaluronic acid-based bioink for bioprinting cartilaginous tissues. Int J Mol Sci. 2022;23(2):924.
Lee SS, et al. A novel 3D histotypic cartilage construct engineered by supercritical carbon dioxide decellularized porcine nasal cartilage graft and chondrocytes exhibited chondrogenic capability in vitro. Int J Med Sci. 2021;18(10):2217–27.
Coombs DM, et al. Breast augmentation surgery: clinical considerations. Cleve Clin J Med. 2019;86(2):111–22.
Todorova D, et al. Extracellular vesicles in angiogenesis. Circ Res. 2017;120(10):1658–73.
Tong J, et al. Adipose-derived mesenchymal stem cells formed acinar-like structure when stimulated with breast epithelial cells in three-dimensional culture. PLoS ONE. 2018;13(10):e0204077.
Saljo K, et al. Long-term in vivo survival of 3D-bioprinted human lipoaspirate-derived adipose tissue: proteomic signature and cellular content. Adipocyte. 2022;11(1):34–46.
Zhou M, et al. Tuning the mechanics of 3D-printed scaffolds by crystal lattice-like structural design for breast tissue engineering. Biofabrication. 2019;12(1):015023.
Zhang G, et al. Additively manufactured macroporous chambers facilitate large volume soft tissue regeneration from adipose-derived extracellular matrix. Acta Biomater. 2022;148:90–105.
Emara A, Shah R. Recent update on craniofacial tissue engineering. J Tissue Eng. 2021;12:20417314211003736.
Yang L, Wang X, Yu Y, et al. Bio-inspired dual-adhesive particles from microfluidic electrospray for bone regeneration[J]. Nano Research. 2022:1–8; Published 09 November 2022; https://doi.org/10.1007/s12274-022-5202-9.
Yang L, et al. Biomass microcapsules with stem cell encapsulation for bone repair. Nanomicro Lett. 2021;14(1):4.
Debelmas A, et al. Contribution of the periosteum to mandibular distraction. PLoS ONE. 2018;13(6):e0199116.
Nakahara K, et al. Periosteum-induced bone formation by distraction osteogenesis: histologic and microcomputed tomography analysis. Int J Oral Maxillofac Implants. 2016;31(4):785–92.
Paduano F, et al. Adipose tissue as a strategic source of mesenchymal stem cells in bone regeneration: a topical review on the most promising craniomaxillofacial applications. Int J Mol Sci. 2017;18(10):2140.
Mukherjee S, et al. Chemokine SDF1 mediated bone regeneration using biodegradable Poly(D, L-lactide-co-glycolide) 3D scaffolds and bone marrow-derived mesenchymal stem cells: implication for the development of an “Off-the-Shelf” pharmacologically active construct. Biomacromol. 2020;21(12):4888–903.
Shie MY, et al. Application of piezoelectric cells printing on three-dimensional porous bioceramic scaffold for bone regeneration. Int J Bioprint. 2019;5(2.1):210.
Hasani-Sadrabadi MM, et al. An engineered cell-laden adhesive hydrogel promotes craniofacial bone tissue regeneration in rats. Sci Transl Med. 2020;12(534):eaay6853.
Salamanca E, et al. Porcine collagen-bone composite induced osteoblast differentiation and bone regeneration in vitro and in vivo. Polymers (Basel). 2020;12(1):93.
Li W, et al. Transformation of acellular dermis matrix with dicalcium phosphate into 3D porous scaffold for bone regeneration. J Biomater Sci Polym Ed. 2021;32(16):2071–87.
Cox BL, et al. An open source, 3D printed preclinical MRI phantom for repeated measures of contrast agents and reference standards. Biomed Phys Eng Express. 2018;4(2):027005.
Kamio T, et al. DICOM segmentation and STL creation for 3D printing: a process and software package comparison for osseous anatomy. 3D Print Med. 2020;6(1):17.
Kikano E, et al. Utility of virtual monoenergetic images from spectral detector computed tomography in improving image segmentation for purposes of 3D printing and modeling. 3D Print Med. 2019;5(1):1.
Goddard E, Dodds S. Ethics and policy for bioprinting. Methods Mol Biol. 2020;2140:43–64.
Acknowledgements
Not applicable.
Funding
This study was funded by the Natural Science Foundation of Hunan Province (2021JJ30928).
Author information
Authors and Affiliations
Contributions
BF and LL conceived the conceptualization and designed the manuscript. PY and YJ were major contributors in writing the manuscript. YH collated and produced relevant figures for the manuscript. XX participated in discussion. All authors read and approved the final manuscript.
Corresponding authors
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
All authors have been accepted the consent for publication.
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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 http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Yang, P., Ju, Y., Hu, Y. et al. Emerging 3D bioprinting applications in plastic surgery. Biomater Res 27, 1 (2023). https://doi.org/10.1186/s40824-022-00338-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s40824-022-00338-7