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Review

Design and Applications of Extracellular Matrix Scaffolds in Tissue Engineering and Regeneration

by
Sylvia Mangani
1,
Marios Vetoulas
1,
Katerina Mineschou
1,
Konstantinos Spanopoulos
1,
Maria dM. Vivanco
2,
Zoi Piperigkou
1 and
Nikos K. Karamanos
1,*
1
Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, 26504 Patras, Greece
2
CIC bioGUNE, Basque Research and Technology Alliance, BRTA, Technological Park of Bizkaia, 48160 Derio, Spain
*
Author to whom correspondence should be addressed.
Cells 2025, 14(14), 1076; https://doi.org/10.3390/cells14141076 (registering DOI)
Submission received: 5 June 2025 / Revised: 5 July 2025 / Accepted: 9 July 2025 / Published: 15 July 2025
(This article belongs to the Special Issue Role of Extracellular Matrix in Cancer and Disease)

Abstract

Tissue engineering is a growing field with multidisciplinary players in cell biology, engineering, and medicine, aiming to maintain, restore, or enhance functions of tissues and organs. The extracellular matrix (ECM) plays fundamental roles in tissue development, maintenance, and repair, providing not only structural support, but also critical biochemical and biomechanical cues that regulate cell behavior and signaling. Although its specific composition varies across different tissue types and developmental stages, matrix molecules influence various cell functional properties in every tissue. Given the importance of ECM in morphogenesis, tissue homeostasis, and regeneration, ECM-based bioscaffolds, developed through tissue engineering approaches, have emerged as pivotal tools for recreating the native cellular microenvironment. The aim of this study is to present the main categories of these scaffolds (i.e., natural, synthetic, and hybrid), major fabrication techniques (i.e., tissue decellularization and multidimensional bioprinting), while highlighting the advantages and disadvantages of each category, focusing on biological activity and mechanical performance. Scaffold properties, such as mechanical strength, elasticity, biocompatibility, and biodegradability are essential to their function and integration into host tissues. Applications of ECM-based bioscaffolds span a range of engineering and regenerative strategies, including cartilage, bone, cardiac tissue engineering, and skin wound healing. Despite promising advances, challenges remain in standardization, scalability, and immune response modulation, with future directions directed towards improving ECM-mimetic platforms.

1. Introduction

Tissue engineering is a fast-advancing, interdisciplinary field focusing on biological tissue restoration or replacement, through the interdisciplinary application of principles and techniques from biology, materials science, and engineering [1]. A central objective in this field is the development of functional tissue constructs by integrating multiple cell types, biomaterials, and signaling molecules [2]. The extracellular matrix (ECM) serves as the crucial, non-cellular macromolecular three-dimensional (3D) meshwork of macromolecules, with a particular role in guiding tissue development and homeostasis [3,4]. ECMs are mainly composed of water, (glyco)proteins, proteoglycans (PGs), and heteropolysaccharides, such as hyaluronan; however, each tissue type establishes a unique matrix composition and architecture to maintain its structural integrity and, by extension, that of the associated organ [5,6].
Although once considered a passive bystander in cellular processes, ECM acts as a silent architect of cellular behavior, from the earliest stages of embryogenesis through adulthood, modulating tissue development and homeostasis [7]. Beyond providing structural support to the cells within the tissues, matrix macromolecules generate biochemical/biomechanical cues that mediate cell morphology, mechanosensing, signaling, spatial organization, and intercellular communication [8]. The main ECM components include collagens, elastin, laminin, fibronectin, PGs, and glycosaminoglycans (GAGs) [9]. Furthermore, ECM is a dynamic reservoir for various growth factors, including fibroblast growth factor (FGF), epidermal growth factor (EGF), insulin-like growth factor 1 (IGF-I), transforming growth factor (TGF-α, -β), vascular endothelial growth factor (VEGF), platelet-derived growth factor (PDGF), keratinocyte growth factor, hepatocyte growth factor, neural growth factor (NGF), and bone morphogenic proteins (BMPs). These ECM-sequestered factors are released in a tightly regulated manner, guiding stem cell differentiation and further tissue development, such as angiogenesis (i.e., VEGF, FGF, PDGF, and TGF-β), cartilage formation (i.e., BMPs, TGF-β, IGF-I, FGF, PDGF), bone formation (i.e., BMP2, BMP4, TGF-β, FGF), wound healing (i.e., TGF-β, EGF, FGF, VEGF, PDGF), neurogenesis (i.e., NGF, FGF-2, IGF-I, BDNF, VEGF), and cardiac development (i.e., TGF-β, FGF-9, IGF-2), among others [10,11,12,13].
ECM stiffness is pivotal in mechanotransduction mechanisms, affecting cell fate responses and lineage specification [14]. For instance, soft matrices promote neuron differentiation, while stiffer matrices favor osteogenesis [15]. Furthermore, collagen crosslinking, often mediated by lysyl oxidases (LOX) and LOX-like proteins, leads to excessive ECM accumulation that triggers tissue scarring and disrupts organ functionality during fibrotic conditions [16]. Studies have shown that LOX inhibition can reduce tissue fibrosis, resulting in lower tumor metastatic potential, exhibiting a crucial link between cancer and fibrosis [17].
Given the predominant role of ECM macromolecules in both tissue development and various pathological conditions, the synthesis of ECM-based platforms is of critical importance for advancing tissue engineering applications [18]. This study presents and critically analyzes the techniques utilized in the design of ECM-inspired models and their applications in tissue regeneration and engineering approaches.

2. ECM-Based/Mimetic Bioscaffolds Utilized in Tissue Engineering-Design Strategies

In tissue engineering, ECM-derived biomaterials act as nature’s architectural blueprints, closely mimicking the complex environments where cells adhere, grow, and differentiate. To this regard, they exhibit multifunctional roles—offering structural support while also providing mechanical and biochemical cues that guide and coordinate tissue regeneration [19,20]. ECM-based platforms utilized in tissue engineering can be classified into three main categories, depending on the source of the utilized monomers; natural, synthetic, and hybrid [21]. Natural scaffolds are typically derived from biological sources and closely replicate the composition of native ECMs, hence preserving the structural integrity and biochemical cues essential for mediating cellular functions [22]. Conversely, synthetic scaffolds composed of artificially synthesized (lab-engineered) polymers, enable precise control of mechanical properties, including strength, stiffness, elasticity, and porosity. Finally, hybrid composites are designed to integrate both natural ECM components alongside with synthetic materials, merging the bioactivity of biological components with the mechanical strength of synthetic ones, thereby offering a promising remedy for various tissue engineering and regenerative medicine applications [23].
Scaffold fabrication techniques are tailored to address specific mechanical, physicochemical, and biological properties, depending on the requirements of the impaired tissue or organ [24,25]. A summary of the diverse methodologies utilized in the design of bioscaffolds applied in tissue engineering and biomedical applications are given in Table 1. Among them, tissue/organ decellularization and multidimensional bioprinting are further discussed in detail.

2.1. Decellularized ECM Scaffolds

Developing bioscaffolds that closely mimic native tissue structure while also minimizing host immune rejection is a significant challenge in tissue engineering as adverse immune responses are possible. Decellularized ECM (dECM) scaffolds offer a promising platform for tissue engineering and regeneration, emerging as a key approach to eliminate immune-related complications [34,35]. Decellularization is the process of removing cells and their components while preserving the native ECM structural and functional microenvironmental characteristics, thereby serving as a natural bioscaffold for engineering/regenerative strategies [36]. Notably, the removal of cellular components and antigens from tissues is essential to reduce immune and inflammatory responses, while the preservation of matrix structural macromolecules and growth factors mediates cell functional properties, including adhesion, proliferation, differentiation, and migration [37,38,39].
Decellularization can be achieved through various methods, which can be applied individually or in combination to optimize the removal of the cellular material. These techniques can be classified into three main categories (Figure 1); chemical, enzymatic, and physical, each of one presenting their unique advantages and disadvantages [40,41]. Perfusion-based techniques have been widely used for whole-organ decellularization, enabling the generation of bioartificial constructs for complex organs such as the heart, lung, kidney, and liver [42].
Surfactants are primarily used as chemical decellularization agents, and they are classified—depending on their charge—as ionic, non-ionic, or zwitterionic [42]. Particularly, ionic surfactants are able to solubilize the lipids (cell membrane disruption) and the intracellular cytoplasmic components, while also disrupting the DNA [42,43]. Sodium deoxycholate, sodium dodecyl sulfate (SDS), and Triton X-200 are the main representatives of this group [44]. Despite the elimination of a high percentage of nucleic acids, ionic surfactants have been shown to disrupt the ECM structure and the properties of various matrix components (impaired collagen integrity, reduced GAG content), as well as the availability of ECM-sequestered growth factors [43,44]. On the other hand, non-ionic surfactants, such as Triton X-100, can disrupt the cell membrane and DNA-protein interactions [27,36]. However, Triton X-100 exhibits less efficient cell lysis (e.g., in tendon decellularization), and its action appears highly tissue-dependent, meaning that it should be combined with other chemical techniques [44,45]. Zwitterionic detergents, such as 3-[(3-cholamidopropyl)-dimethylammonio]-1-propanesulfonate, have been shown to exhibit properties from both ionic and non-ionic detergents, thus better supporting cell removal from native tissues and more effectively preserving the ECM structure [46,47].
Acidic and alkaline solutions are also widely used in tissue decellularization as they induce the disruption of cell membrane and the consequent solubilization of cytoplasmic components and degradation of nucleic acids; however, regulation of the concentration and exposure time should be critically evaluated as the extreme pH conditions may cause tissue ECM degradation and structural disorganization [39,48]. Finally, hypotonic/hypertonic solutions and other chemical solvents are also utilized in tissue/organ decellularization [48,49].
Along with the aforementioned chemical methods, enzymatic decellularization is often employed. Nucleases (DNases and RNases), collagenases, trypsin, lipase, and dispase are enzymatic agents that remove any remaining cellular components and DNA, preserving the structural and biochemical matrix integrity (Figure 1) [50]. The most commonly used enzymatic agent is trypsin due to its specific proteolytic activity; however, overexposure of the tissue to trypsin can cause essential ECM components to degrade [36,51].
Physical decellularization methods consist of techniques that are often primarily used in conjunction with chemical and enzymatic techniques. The most commonly utilized methods include freeze-thawing, mechanical stress, hydrostatic pressure, ultrasonication, electroporation, and perfusion (Figure 1) [52]. During freeze–thaw cycles, cell lysis can be achieved by thermal shock and extreme low temperature alterations. However, this technique does not achieve complete tissue decellularization, as a substantial portion of DNA often remains unremoved [53]. High hydrostatic pressure is also effective at inducing cell lysis, although it does not adequately remove nucleic acids. To address this limitation, DNase is often employed to degrade and eliminate remaining DNA fragments [36,48]. Furthermore, mechanical loading techniques often utilize physical stress to induce cell lysis [36]. High-frequency ultrasonic waves are applied to promote tissue decellularization, often in combination with SDS, in order to improve the efficiency of the method and protect ECM proteins from damage [49]. Electroporation is another widely used physical technique for tissue decellularization that involves the application of electrical pulses to destabilize the integrity of cell membrane and create nanopores that lead to cell apoptosis [52]. Finally, perfusion involves the delivery of chemical agents to effectively remove cellular and nucleic acid material while preserving the structural integrity of the ECM [36].

2.2. Multidimensional Bioprinting: From 3D Era to 6D Bioscaffold Manufacturing

Advances in bioprinting have significantly expanded the opportunities to replicate complex ECM microenvironments by enabling the spatially controlled deposition of cells, bioactive molecules, and biomaterials, thereby emulating the architectural and functional complexity of native tissues [54,55,56]. Particularly, bioinks derived from ECM components—such as collagen, fibronectin, laminin, elastin, and GAGs (i.e., hyaluronan and chondroitin sulfate)—offer an inherently bioactive microenvironment (Figure 2, Table 2) [57]. dECMs, previously analyzed in detail, have emerged as one of the most promising ECM-based bioinks due to their tissue specificity and ability to preserve native biochemical and biomechanical cues after removal of cellular components [58].
The physicochemical properties of bioinks are critical to the success of 3D bioprinting [59]. Bioinks should be printable, biocompatible, and possess mechanical properties suitable for the requirements of the target tissue. Notably, ECM-based hydrogels or hybrid hydrogels (matrix components in combination with synthetic polymers, such as polyethylene glycol, polycaprolactone, and polyurethane) provide tunable stiffness, degradation rates, and bioactivity (Figure 2) [60]. For example, collagen-based hydrogels are frequently combined with synthetic polymers to enhance mechanical robustness while retaining cell-friendly biochemical features. Such combinations demonstrate efficacy in a variety of applications, including osteochondral regeneration, where the mechanical integrity of the scaffold must be balanced with the osteogenic properties of the ECM [44,56].
While 3D bioprinting allows the fabrication of structurally complex tissues, its limitation lies in the static nature of the printed constructs. Native tissues are not static, but are highly dynamic, capable of responding to environmental mechanical and biochemical stimuli. To overcome this limitation, the concept of four-dimensional (4D) bioprinting incorporates time as the fourth dimension (Table 2) [61]. In 4D bioprinting, the printed structure is designed to undergo dynamic transformations after fabrication, through alterations in shape, mechanical properties, or biochemical activity in response to internal or external stimuli (Figure 2) [62]. This is typically achieved by stimuli-responsive smart materials, such as shape-memory polymers or hydrogels that respond to changes in temperature, pH, humidity, light, or enzymatic activity [63,64]. These materials enable the printed constructs to transform in a predictable manner, mimicking the morphogenetic processes observed during natural tissue development [65]. For instance, the use of temperature-responsive hydrogels allows the reversible swelling or deswelling in response to physiological temperatures [66]. A thermoresponsive ECM-based hydrogel can be programmed to contract, expand, or fold into complex geometries after implantation, enhancing integration to host tissue or enabling site-specific delivery of therapeutic agents [62]. Furthermore, light-sensitive materials offer spatial and temporal control over scaffold properties, such as stiffness and degradation, providing the ability to modulate the cellular microenvironment during tissue maturation [61]. This responsive behavior enhances the functional fidelity of engineered tissues, allowing for the design of constructs that actively participate in the regenerative process [17].
The progression to five-dimensional (5D) bioprinting further incorporates biological functionality into the dynamic framework. In this approach, constructs are not only responsive to stimuli but are also capable of undergoing biologically-mediated remodeling (Figure 2, Table 2) [67]. The inclusion of ECM molecules in bioinks is essential to this process, as it allows cells to dynamically interact with and modify their microenvironment [68]. For example, hydrogels with enzymatically cleavable crosslinkers permit matrix degradation in response to cell-secreted proteases (i.e., matrix metalloproteinases, MMPs) [69]. ECM remodeling supports cell migration, tissue integration, and vascular invasion, essential features for the maturation of complex tissues [70]. Additionally, ECM-rich materials support the deposition of new matrix components by embedded cells, gradually replacing the scaffold with tissue-specific extracellular matrix [71].
In the evolving landscape of bioprinting, the concept of “6D bioprinting” is proposed as a forward-looking paradigm that builds upon the foundational principles of 3D, 4D, and 5D bioprinting technologies. While 3D bioprinting focuses on spatial deposition of bioinks in three dimensions, 4D bioprinting introduces the element of time, enabling printed constructs to undergo dynamic changes in shape, function, or composition in response to environmental stimuli, often through the use of shape-memory materials or stimuli-responsive hydrogels [72]. In contrast, 5D bioprinting incorporates two additional rotational degrees of freedom to enable printing along complex, non-planar geometries and anatomically accurate curvatures using multi-axis printing platforms [73].
The proposed sixth dimension in “6D bioprinting” extends these capabilities by integrating adaptive, intelligent systems that enable real-time feedback, monitoring, and modulation of the bioprinted construct post-fabrication. This dimension emphasizes the convergence of biosensing, smart materials, and artificial intelligence (AI)-driven feedback loops that allow constructs to autonomously sense and respond to biochemical, mechanical, or electrical changes in their microenvironment. For example, recent studies have described hydrogel scaffolds embedded with nanosensors capable of monitoring cellular metabolism or stress signaling in situ and bioinks engineered to undergo controlled remodeling in response to pH, temperature, or enzymatic cues [74,75]. Furthermore, integration of soft electronics and wireless communication systems within tissue constructs may allow external modulation or diagnostic interfacing, facilitating precision biofabrication and long-term monitoring.
The concept of six-dimensional (6D) bioprinting introduces a further layer of complexity, by incorporating programmable and adaptive properties to the bioprinted constructs. Ultimately, 6D bioprinting leverages advanced smart materials that not only respond to stimuli, but can also adapt their behavior in real-time based on environmental feedback (Table 2) [74,75]. These constructs can be equipped with biosensors and actuators that monitor local conditions and trigger appropriate biological or mechanical responses, such as the controlled release of growth factors, modulation of scaffold stiffness, or shape transformation (Figure 2) [76]. This level of interactivity enables bioprinted tissues to mimic the dynamic reciprocity observed in native tissue environments, where cells and surrounding ECM engage in feedback loops that regulate development, healing, and homeostasis [77]. For example, a 6D bioprinted scaffold can contain mechanoresponsive polymers that stiffen in response to increased mechanical load, thereby directing stem cells toward osteogenic or myogenic differentiation [78]. The integration of real-time biosensing with smart ECM-mimetic materials enables the design of constructs that actively adapt to physiological cues, such as inflammation, ischemia, or mechanical strain [77,79]. Finally, the development of closed-loop bioprinted systems, capable of sensing, processing, and responding to their environment, represents a shift from static, passive implants to dynamic, adaptive bio-interfaces [80].
This sixth dimension represents a shift toward interactive and intelligent tissue systems, where printed constructs are no longer static or passively responsive, but actively engaged in sensing, adapting, and communicating—characteristics essential for next-generation personalized medicine, dynamic tissue regeneration, and real-time therapeutic interventions. By incorporating these emerging capabilities, 6D bioprinting aims to transform static biofabrication into a dynamic, self-regulating, and patient-specific technology ecosystem.

3. Applications of dECM and ECM-Bioprinted Scaffolds in Tissue Engineering Approaches

dECM bioscaffolds are commonly used in bone tissue engineering due to their ability to closely replicate the native tissue, as they provide both structural support and essential biochemical signals that guide cell morphology and behavior [81]. More specifically, demineralized decellularized human epiphysial bone scaffolds have demonstrated the ability to mediate cell adhesion, migration, and bone matrix production in vitro; induced mineralization has also been demonstrated [82]. Clinically, dECM bovine bone grafts have been successfully applied in the reconstruction of zygomatic bone defects, mandibular defect repair, and tibial defect treatment [81]. Moreover, dECM components can be incorporated into 3D printed hydrogels to enhance cell properties [26]. Notably, 3D and 4D printing technologies are already utilized for the fabrication of personalized and complex bone scaffolds with controlled porosity and mechanical properties [78,83]. In addition, bio-piezoelectric scaffolds replicate bone’s electromechanical characteristics, thus promoting osteogenic differentiation. Ultimately, 3D/4D printing is utilized to develop smart bioscaffolds that respond to external stimuli, promoting faster bone regeneration [84,85].
dECM bioscaffolds have also shown significant promise for a variety of applications in cartilage tissue engineering. These scaffolds can be implanted into knee joint cartilage defects to promote repair and integration within the surrounding tissue [86]. Additionally, human non-cellular cartilage matrix powders have been used as bioscaffolds for cartilage engineering, particularly in combination with synovium-derived stem cells, to enhance regenerative potential [87]. Processed dECM cartilage biomatrices have been shown to be effective in vitro, supporting cell adhesion and proliferation, but also the synthesis of new cartilage-specific ECM by chondrocytes and fibroblasts [88]. In parallel, 3D bioprinting has enabled distinct applications for cartilage regeneration. Direct inkjet bioprinting allows for the deposition of chondrocytes directly into the chondral defect [89]. Patient-specific cartilage constructs that demonstrate ECM deposition and drive cell proliferation have been further developed using photo-cross-linkable dECM-based bioinks containing rabbit auricular chondrocytes [90]. Moreover, fiber-reinforced cartilage dECM scaffolds have been produced by 3D printing to support the repair of articular cartilage defects in rabbits [91]. Finally, hybrid printing approaches, such as inkjet bioprinting of chondrocytes onto electrospun fibers, have yielded mechanically enhanced constructs that exhibit cartilage matrix formation both in vitro and in vivo [89].
Beyond bone and cartilage, dECM bioscaffolds are increasingly applied in skin tissue engineering, serving as dermal or skin substitutes in clinical settings [92]. Products, such as AlloDerm® (LifeCell Corporation, AbbVie company, Texas, USA) and MatriDerm®, (MedSkin Solutions Dr. Suwelack AG, Billerbeck, Germany) are extensively utilized to address full-thickness and deep partial-thickness burn wounds, as well as to repair various soft tissue defects [93,94]. In parallel, marine-based biocomposites derived from fish or eel skin collagen blended with alginate have been employed as bioinks to create tissue engineering substitutes, demonstrating improved cell proliferation [95]. Complementing these, 3D bioprinting technologies enable the precise placement of both biomaterials and synthetic components, providing unique applications for skin regeneration [96]. Studies have shown the feasibility of in situ bioprinting of characteristic skin cells (i.e., fibroblasts and keratinocytes) directly onto wound sites, thus promoting rapid wound closure in mouse models [97]. Moreover, 3D bioprinting has been utilized to generate full-thickness engineered skin constructs encapsulating human primary skin cells [98]. All these pave the way for developing even more complex models, such as vascularized skin grafts utilizing multiple cell types and pigmented human skin constructs [96].
dECM nerve tissues serve as biological scaffolds for nerve regeneration by providing a 3D framework that supports axon attachment and directional growth toward target organs, and they have demonstrated promising results in in vivo animal models and in human clinical applications for neurological repair [99]. ECM-based hydrogels derived from sources such as the human umbilical cord, porcine bladder, or brain can support the differentiation of neural stem cells in vitro, thereby promoting axonal outgrowth [100]. Notably, implantation of brain-derived dECM in animal models has been shown to support neurological healing after traumatic brain injury [101]. Furthermore, decellularized meningeal scaffolds have been used to develop meningeal neuronal constructs with organized growth and intact axonal tracts, providing structural and biochemical cues for spinal cord injury regeneration [102]. Embedding decellularized peripheral nerve matrix within aligned collagen conduits significantly improved motor recovery and axonal alignment in rodent sciatic nerve models [103]. In addition to dECM-based methods, 3D bioprinting offers high precision in fabricating neural constructs, establishing it as a versatile tool for various neuroengineering approaches. Functional 3D neural mini-tissue constructs have been created by printing hydrogel bioinks encapsulating human neural stem cells [104]. Furthermore, scaffolds designed to promote axon regeneration and decrease glial scar deposition have been fabricated using 3D bioprinting for spinal cord injury repair in vivo [105]. Recently, graphene-infused neural dECM bioinks have been printed to form electrically conductive neural interfaces, enhancing neurite outgrowth and signal transmission [106]. This technology is also employed for creating disease models, such as glioblastoma, serving as platforms for high-throughput drug screening and assessing patient–specific treatment responses. Within the same framework, patient-specific nerve guide conduits can be created via bioprinting to facilitate peripheral nerve regeneration, potentially incorporating cells, composite hydrogels, or even growth factors [107].
Finally, dECM bioscaffolds offer a promising approach in tissue regenerative medicine for cardiac applications. Human cardiac matrices embedded with multiple cell types, including stem cells or cardiomyocytes, have been used as scaffolds for cardiac tissue regeneration [108]. dECM bioscaffolds can be also utilized for cell reseeding and subsequent engraftment into damaged myocardium as a cardiac bioprosthetic [109]. Seeding bioscaffolds with endothelial progenitor cells was shown to promote angiogenesis and reduce scar formation in infarcted rat hearts [110]. Also, injectable cardiac dECM microparticles have been demonstrated to preserve left ventricular function and improve ejection fraction in porcine myocardial infarction models [111]. In addition, 3D bioprinting techniques offer significant advantages in fabricating cardiac tissues with sophisticated architectures. Applications range from the development of microchannels to direct cardiomyocyte alignment and enhance beating strength, to the engineering of myocardial properties, such as anisotropy and vascularization, as well as the bioprinting of functional cardiac units for in vitro mechanistic studies and therapeutic screening [112]. Myocardium-on-chip models with dECM-tuned stiffness can be used to test drug cardiotoxicity [113]. Finally, hybrid bioprints combining cardiac dECM with conductive graphene oxide have been shown to enhance synchronous contraction and electrophysiological function in engineered heart tissues [114].

4. Conclusions and Perspectives

ECM-based bioscaffolds have become pivotal in tissue engineering as they provide a biologically active microenvironment that promotes cell adhesion, differentiation, and tissue remodeling. Tissue/organ decellularization, along with advancements in nanotechnology and multidimensional bioprinting, significantly enhance the mechanical and functional properties of the scaffolds. As research continues to merge biology with engineering, ECM-based scaffolds are set to play a key role in the future of tissue engineering and repair, with a focus on long-term clinical applications and regenerative medicine approaches. While still in its infancy, 6D bioprinting shows great potential for personalized regenerative medicine by enabling implants to adjust their behavior dynamically according to every individual’s case. Despite the widespread clinical adoption of ECM-based bioscaffolds over the past two decades, numerous practical limitations still hinder their broader clinical translation. Key challenges include the incomplete understanding of their mechanisms of action, difficulties in upscaling production, quality control, and integration into existing healthcare systems. Biologic variability, particularly due to animal-to-animal differences in ECM composition, contributes to a lack of chemical definition and reproducibility [115,116]. Additionally, concerns around immunogenic responses, the immunomodulatory effects of degradation products, and the absence of long-term or bioaccumulation studies limit confidence in their widespread use [117]. Structural constraints, such as the fixed geometry of ECM sheets, can further restrict their utility in minimally invasive procedure [118]. Moreover, unresolved issues in appropriate sterilization and disinfection methods, cell sourcing, regulatory classification, cost-efficiency, and the lack of robust preclinical data—especially in large animal models—pose further barriers [115,117,118,119,120]. Ethical considerations are also gaining prominence, particularly with personalized, matrix-based bioscaffolds. These include sourcing transparency, informed consent, and data handling [121]. As the field progresses, addressing these limitations through ethical frameworks, refined regulatory guidelines, and robust scientific validation will be essential for the successful implementation of ECM-based bioscaffolds in advanced tissue engineering and regenerative medicine approaches, as well as in personalized medicine applications.

Author Contributions

Conceptualization, supervision, writing—review and editing N.K.K.; Literature research, writing—original draft preparation, writing—review and editing S.M., M.V., K.M., K.S., M.d.V., and Z.P.; All authors have read and agreed to the published version of the manuscript.

Funding

M.d.V. and N.K.K. acknowledge funding by the European Union under the action HORIZON-MSCA-2022-SE-01. Project ID: 101130985 (CARES). Z.P. acknowledges FEBS as a funding contributor (FEBS Booster Fund).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
3DThree-dimensional
4DFour-dimensional
5DFive-dimensional
6DSix-dimensional
BMPsBone morphogenic proteins
dECMDecellularized extracellular matrix
EGFEpidermal growth factor
FGFFibroblast growth factor
IGF-IInsulin-like growth factor 1
GAGsGlycosaminoglycans
LOXLysyl oxidase
NGFNeural growth factor
PDGFPlatelet-derived growth factor
PGsProteoglycans
SDSSodium dodecyl sulfate
TGFTransforming growth factor
VEGFVascular endothelial growth factor

References

  1. Padhi, A.; Nain, A.S. ECM in Differentiation: A Review of Matrix Structure, Composition and Mechanical Properties. Ann. Biomed. Eng. 2020, 48, 1071–1089. [Google Scholar] [CrossRef] [PubMed]
  2. Diller, R.B.; Tabor, A.J. The Role of the Extracellular Matrix (ECM) in Wound Healing: A Review. Biomimetics 2022, 7, 87. [Google Scholar] [CrossRef] [PubMed]
  3. Walma, D.A.C.; Yamada, K.M. The extracellular matrix in development. Development 2020, 147, dev175596. [Google Scholar] [CrossRef]
  4. Karamanos, N.K.; Theocharis, A.D.; Piperigkou, Z.; Manou, D.; Passi, A.; Skandalis, S.S.; Vynios, D.H.; Orian-Rousseau, V.; Ricard-Blum, S.; Schmelzer, C.E.H.; et al. A guide to the composition and functions of the extracellular matrix. FEBS J. 2021, 288, 6850–6912. [Google Scholar] [CrossRef]
  5. Karamanos, N.K.; Piperigkou, Z.; Theocharis, A.D.; Watanabe, H.; Franchi, M.; Baud, S.; Brézillon, S.; Götte, M.; Passi, A.; Vigetti, D.; et al. Proteoglycan Chemical Diversity Drives Multifunctional Cell Regulation and Therapeutics. Chem. Rev. 2018, 118, 9152–9232. [Google Scholar] [CrossRef]
  6. Karamanos, N.K.; Piperigkou, Z.; Passi, A.; Götte, M.; Rousselle, P.; Vlodavsky, I. Extracellular matrix-based cancer targeting. Trends Mol. Med. 2021, 27, 1000–1013. [Google Scholar] [CrossRef] [PubMed]
  7. Carlos, A.R.; Allamand, V. Editorial: Extracellular matrix in homeostasis and cancer. Front. Genet. 2022, 13, 1107969. [Google Scholar] [CrossRef]
  8. Franchi, M.; Piperigkou, Z.; Mastronikolis, N.S.; Karamanos, N. Extracellular matrix biomechanical roles and adaptation in health and disease. FEBS J. 2023, 291, 430–440. [Google Scholar] [CrossRef]
  9. Theocharis, A.D.; Skandalis, S.S.; Gialeli, C.; Karamanos, N.K. Extracellular matrix structure. Adv. Drug Deliv. Rev. 2016, 97, 4–27. [Google Scholar] [CrossRef]
  10. Li, Y.; Du, J.; Deng, S.; Liu, B.; Jing, X.; Yan, Y.; Liu, Y.; Wang, J.; Zhou, X.; She, Q. The molecular mechanisms of cardiac development and related diseases. Signal Transduct. Target. Ther. 2024, 9, 368. [Google Scholar] [CrossRef]
  11. Rozario, T.; DeSimone, D.W. The extracellular matrix in development and morphogenesis: A dynamic view. Dev. Biol. 2010, 341, 126–140. [Google Scholar] [CrossRef] [PubMed]
  12. Berardi, A.C. Extracellular Matrix for Tissue Engineering and Biomaterials; Stem Cell Biology and Regenerative Medicine; Springer International Publishing AG: Cham, Switzerland, 2018; ISBN 978-3-319-77021-5. [Google Scholar]
  13. Khanna, A.; Oropeza, B.P.; Huang, N.F. Engineering Spatiotemporal Control in Vascularized Tissues. Bioengineering 2022, 9, 555. [Google Scholar] [CrossRef] [PubMed]
  14. Discher, D.E.; Janmey, P.; Wang, Y. Tissue Cells Feel and Respond to the Stiffness of Their Substrate. Science 2005, 310, 1139–1143. [Google Scholar] [CrossRef]
  15. Lv, H.; Li, L.; Sun, M.; Zhang, Y.; Chen, L.; Rong, Y.; Li, Y. Mechanism of regulation of stem cell differentiation by matrix stiffness. Stem Cell Res. Ther. 2015, 6, 103. [Google Scholar] [CrossRef]
  16. Wynn, T. Cellular and molecular mechanisms of fibrosis. J. Pathol. 2008, 214, 199–210. [Google Scholar] [CrossRef]
  17. Xiao, Q.; Ge, G. Lysyl Oxidase, Extracellular Matrix Remodeling and Cancer Metastasis. Cancer Microenviron. 2012, 5, 261–273. [Google Scholar] [CrossRef]
  18. Nicolas, J.; Magli, S.; Rabbachin, L.; Sampaolesi, S.; Nicotra, F.; Russo, L. 3D Extracellular Matrix Mimics: Fundamental Concepts and Role of Materials Chemistry to Influence Stem Cell Fate. Biomacromolecules 2020, 21, 1968–1994. [Google Scholar] [CrossRef]
  19. Karamanos, N.K.; Piperigkou, Z.; Gourdoupi, C.; Mangani, S.; Vivanco, M.d. Extracellular matrix matters: Matrix-based bioscaffolds in advancing translational cancer research and targeted therapy. Am. J. Physiol.-Cell Physiol. 2025, 328, C1957–C1963. [Google Scholar] [CrossRef] [PubMed]
  20. Redmond, J.; McCarthy, H.O.; Buchanan, P.; Levingstone, T.J.; Dunne, N.J. Development and characterisation of 3D collagen-gelatin based scaffolds for breast cancer research. Biomater. Adv. 2022, 142, 213157. [Google Scholar] [CrossRef]
  21. Kyriakopoulou, K.; Koutsakis, C.; Piperigkou, Z.; Karamanos, N.K. Recreating the extracellular matrix: Novel 3D cell culture platforms in cancer research. FEBS J. 2023, 290, 5238–5247. [Google Scholar] [CrossRef]
  22. Badylak, S.F. The extracellular matrix as a biologic scaffold material. Biomaterials 2007, 28, 3587–3593. [Google Scholar] [CrossRef] [PubMed]
  23. Bishop, E.S.; Mostafa, S.; Pakvasa, M.; Luu, H.H.; Lee, M.J.; Wolf, J.M.; Ameer, G.A.; He, T.-C.; Reid, R.R. 3-D bioprinting technologies in tissue engineering and regenerative medicine: Current and future trends. Genes Dis. 2017, 4, 185–195. [Google Scholar] [CrossRef]
  24. Eltom, A.; Zhong, G.; Muhammad, A. Scaffold Techniques and Designs in Tissue Engineering Functions and Purposes: A Review. Adv. Mater. Sci. Eng. 2019, 2019, 1–13. [Google Scholar] [CrossRef]
  25. Kumar, A.; Jacob, A. Techniques in scaffold fabrication process for tissue engineering applications: A review. J. Appl. Biol. Biotechnol. 2022, 10, 163–176. [Google Scholar] [CrossRef]
  26. Amirazad, H.; Dadashpour, M.; Zarghami, N. Application of decellularized bone matrix as a bioscaffold in bone tissue engineering. J. Biol. Eng. 2022, 16, 1. [Google Scholar] [CrossRef]
  27. Neishabouri, A.; Soltani Khaboushan, A.; Daghigh, F.; Kajbafzadeh, A.-M.; Majidi Zolbin, M. Decellularization in Tissue Engineering and Regenerative Medicine: Evaluation, Modification, and Application Methods. Front. Bioeng. Biotechnol. 2022, 10, 805299. [Google Scholar] [CrossRef] [PubMed]
  28. Cheng, F.; Song, D.; Li, H.; Ravi, S.K.; Tan, S.C. Recent Progress in Biomedical Scaffold Fabricated via Electrospinning: Design, Fabrication and Tissue Engineering Application. Adv. Funct. Mater. 2025, 35, 2406950. [Google Scholar] [CrossRef]
  29. Angraini, N.; Syarifuddin, S.; Rauf, N.; Tahir, D. Advancements in Bone Tissue Engineering: A Comprehensive Review of Biomaterial Scaffolds and Freeze-Drying Techniques From Perspective Global and Future Research. Artif. Organs 2025. Early View. [Google Scholar] [CrossRef]
  30. Cinici, B.; Yaba, S.; Kurt, M.; Yalcin, H.C.; Duta, L.; Gunduz, O. Fabrication Strategies for Bioceramic Scaffolds in Bone Tissue Engineering with Generative Design Applications. Biomimetics 2024, 9, 409. [Google Scholar] [CrossRef]
  31. Tong, Y.; Yuan, J.; Li, Z.; Deng, C.; Cheng, Y. Drug-Loaded Bioscaffolds for Osteochondral Regeneration. Pharmaceutics 2024, 16, 1095. [Google Scholar] [CrossRef]
  32. Wan, H.; Xiang, J.; Mao, G.; Pan, S.; Li, B.; Lu, Y. Recent Advances in the Application of 3D-Printing Bioinks Based on Decellularized Extracellular Matrix in Tissue Engineering. ACS Omega 2024, 9, 24219–24235. [Google Scholar] [CrossRef]
  33. Carriero, V.C.; Di Muzio, L.; Petralito, S.; Casadei, M.A.; Paolicelli, P. Cryogel Scaffolds for Tissue-Engineering: Advances and Challenges for Effective Bone and Cartilage Regeneration. Gels 2023, 9, 979. [Google Scholar] [CrossRef]
  34. Kim, B.; Kim, J.; So, K.; Hwang, N.S. Supercritical Fluid-Based Decellularization Technologies for Regenerative Medicine Applications. Macromol. Biosci. 2021, 21, 2100160. [Google Scholar] [CrossRef]
  35. Crapo, P.M.; Gilbert, T.W.; Badylak, S.F. An overview of tissue and whole organ decellularization processes. Biomaterials 2011, 32, 3233–3243. [Google Scholar] [CrossRef] [PubMed]
  36. Allu, I.; Sahi, A.K.; Koppadi, M.; Gundu, S.; Sionkowska, A. Decellularization Techniques for Tissue Engineering: Towards Replicating Native Extracellular Matrix Architecture in Liver Regeneration. J. Funct. Biomater. 2023, 14, 518. [Google Scholar] [CrossRef]
  37. Yang, J.; Dang, H.; Xu, Y. Recent advancement of decellularization extracellular matrix for tissue engineering and biomedical application. Artif. Organs 2022, 46, 549–567. [Google Scholar] [CrossRef] [PubMed]
  38. Struecker, B.; Hillebrandt, K.H.; Voitl, R.; Butter, A.; Schmuck, R.B.; Reutzel-Selke, A.; Geisel, D.; Joehrens, K.; Pickerodt, P.A.; Raschzok, N.; et al. Porcine Liver Decellularization Under Oscillating Pressure Conditions: A Technical Refinement to Improve the Homogeneity of the Decellularization Process. Tissue Eng. Part C Methods 2015, 21, 303–313. [Google Scholar] [CrossRef]
  39. Liu, J.; Song, Q.; Yin, W.; Li, C.; An, N.; Le, Y.; Wang, Q.; Feng, Y.; Hu, Y.; Wang, Y. Bioactive scaffolds for tissue engineering: A review of decellularized extracellular matrix applications and innovations. Exploration 2025, 5, 20230078. [Google Scholar] [CrossRef] [PubMed]
  40. McInnes, A.D.; Moser, M.A.J.; Chen, X. Preparation and Use of Decellularized Extracellular Matrix for Tissue Engineering. J. Funct. Biomater. 2022, 13, 240. [Google Scholar] [CrossRef]
  41. Song, J.J.; Guyette, J.P.; Gilpin, S.E.; Gonzalez, G.; Vacanti, J.P.; Ott, H.C. Regeneration and experimental orthotopic transplantation of a bioengineered kidney. Nat. Med. 2013, 19, 646–651. [Google Scholar] [CrossRef]
  42. Gilpin, A.; Yang, Y. Decellularization Strategies for Regenerative Medicine: From Processing Techniques to Applications. BioMed Res. Int. 2017, 2017, 1–13. [Google Scholar] [CrossRef] [PubMed]
  43. Jiwangga, D.; Mahyudin, F.; Mastutik, G.; Juliana; Meitavany, E.N. Current Strategies for Tracheal Decellularization: A Systematic Review. Int. J. Biomater. 2024, 2024, 1–15. [Google Scholar] [CrossRef] [PubMed]
  44. Kim, B.S.; Das, S.; Jang, J.; Cho, D.-W. Decellularized Extracellular Matrix-based Bioinks for Engineering Tissue- and Organ-specific Microenvironments. Chem. Rev. 2020, 120, 10608–10661. [Google Scholar] [CrossRef] [PubMed]
  45. Mendibil, U.; Ruiz-Hernandez, R.; Retegi-Carrion, S.; Garcia-Urquia, N.; Olalde-Graells, B.; Abarrategi, A. Tissue-Specific Decellularization Methods: Rationale and Strategies to Achieve Regenerative Compounds. Int. J. Mol. Sci. 2020, 21, 5447. [Google Scholar] [CrossRef]
  46. Wang, X.; Elbahrawi, R.T.; Abdukadir, A.M.; Ali, Z.M.; Chan, V.; Corridon, P.R. A proposed model of xeno-keratoplasty using 3D printing and decellularization. Front. Pharmacol. 2023, 14, 1193606. [Google Scholar] [CrossRef]
  47. Badylak, S.; Freytes, D.; Gilbert, T. Extracellular matrix as a biological scaffold material: Structure and function. Acta Biomater. 2009, 5, 1–13. [Google Scholar] [CrossRef]
  48. Pineda-Molina, C.; Galvis-Escobar, S.M.; Molina-Sierra, J.D.; Ruíz-Soto, J.P.; Rego-Londoño, M.A. An overview of animal tissue decellularization techniques and clinical applications. Rev. Politécnica 2024, 20, 31–47. [Google Scholar] [CrossRef]
  49. Zhao, J.; Chao, T.; Zhou, M.; Yue, K.; Xu, F.; Wang, H.; Guo, J.; Gao, Z. Decellularization techniques pave the way for tissue engineering and regenerative medicine: A narrative review. Regen. Med. Rep. 2024, 1, 117–130. [Google Scholar] [CrossRef]
  50. Golebiowska, A.A.; Intravaia, J.T.; Sathe, V.M.; Kumbar, S.G.; Nukavarapu, S.P. Decellularized extracellular matrix biomaterials for regenerative therapies: Advances, challenges and clinical prospects. Bioact. Mater. 2024, 32, 98–123. [Google Scholar] [CrossRef]
  51. Whitehead, K.M.; Hendricks, H.K.L.; Cakir, S.N.; De Castro Brás, L.E. ECM roles and biomechanics in cardiac tissue decellularization. Am. J. Physiol.-Heart Circ. Physiol. 2022, 323, H585–H596. [Google Scholar] [CrossRef]
  52. Rabbani, M.; Zakian, N.; Alimoradi, N. Contribution of Physical Methods in Decellularization of Animal Tissues. J. Med. Signals Sens. 2021, 11, 1–11. [Google Scholar] [CrossRef] [PubMed]
  53. Moffat, D.; Ye, K.; Jin, S. Decellularization for the retention of tissue niches. J. Tissue Eng. 2022, 13, 20417314221101151. [Google Scholar] [CrossRef]
  54. Zhang, S.; Chen, X.; Shan, M.; Hao, Z.; Zhang, X.; Meng, L.; Zhai, Z.; Zhang, L.; Liu, X.; Wang, X. Convergence of 3D Bioprinting and Nanotechnology in Tissue Engineering Scaffolds. Biomimetics 2023, 8, 94. [Google Scholar] [CrossRef]
  55. Das, D.; Noh, I. Overviews of Biomimetic Medical Materials. In Biomimetic Medical Materials; Noh, I., Ed.; Advances in Experimental Medicine and Biology; Springer: Singapore, 2018; Volume 1064, pp. 3–24. ISBN 9789811304446. [Google Scholar]
  56. Hospodiuk, M.; Dey, M.; Sosnoski, D.; Ozbolat, I.T. The bioink: A comprehensive review on bioprintable materials. Biotechnol. Adv. 2017, 35, 217–239. [Google Scholar] [CrossRef] [PubMed]
  57. Gungor-Ozkerim, P.S.; Inci, I.; Zhang, Y.S.; Khademhosseini, A.; Dokmeci, M.R. Bioinks for 3D bioprinting: An overview. Biomater. Sci. 2018, 6, 915–946. [Google Scholar] [CrossRef]
  58. Hazur, J.; Detsch, R.; Karakaya, E.; Kaschta, J.; Teßmar, J.; Schneidereit, D.; Friedrich, O.; Schubert, D.W.; Boccaccini, A.R. Improving alginate printability for biofabrication: Establishment of a universal and homogeneous pre-crosslinking technique. Biofabrication 2020, 12, 045004. [Google Scholar] [CrossRef]
  59. Chen, X.B.; Fazel Anvari-Yazdi, A.; Duan, X.; Zimmerling, A.; Gharraei, R.; Sharma, N.K.; Sweilem, S.; Ning, L. Biomaterials/bioinks and extrusion bioprinting. Bioact. Mater. 2023, 28, 511–536. [Google Scholar] [CrossRef] [PubMed]
  60. Chimene, D.; Peak, C.W.; Gentry, J.L.; Carrow, J.K.; Cross, L.M.; Mondragon, E.; Cardoso, G.B.; Kaunas, R.; Gaharwar, A.K. Nanoengineered Ionic–Covalent Entanglement (NICE) Bioinks for 3D Bioprinting. ACS Appl. Mater. Interfaces 2018, 10, 9957–9968. [Google Scholar] [CrossRef]
  61. Sydney Gladman, A.; Matsumoto, E.A.; Nuzzo, R.G.; Mahadevan, L.; Lewis, J.A. Biomimetic 4D printing. Nat. Mater. 2016, 15, 413–418. [Google Scholar] [CrossRef]
  62. Miao, S.; Cui, H.; Nowicki, M.; Xia, L.; Zhou, X.; Lee, S.; Zhu, W.; Sarkar, K.; Zhang, Z.; Zhang, L.G. Stereolithographic 4D Bioprinting of Multiresponsive Architectures for Neural Engineering. Adv. Biosyst. 2018, 2, 1800101. [Google Scholar] [CrossRef]
  63. Ashammakhi, N.; Ahadian, S.; Xu, C.; Montazerian, H.; Ko, H.; Nasiri, R.; Barros, N.; Khademhosseini, A. Bioinks and bioprinting technologies to make heterogeneous and biomimetic tissue constructs. Mater. Today Bio 2019, 1, 100008. [Google Scholar] [CrossRef]
  64. Li, Y.; Zhang, F.; Liu, Y.; Leng, J. 4D printed shape memory polymers and their structures for biomedical applications. Sci. China Technol. Sci. 2020, 63, 545–560. [Google Scholar] [CrossRef]
  65. Kirillova, A.; Maxson, R.; Stoychev, G.; Gomillion, C.T.; Ionov, L. 4D Biofabrication Using Shape-Morphing Hydrogels. Adv. Mater. 2017, 29, 1703443. [Google Scholar] [CrossRef] [PubMed]
  66. Zhao, X.; Wu, H.; Guo, B.; Dong, R.; Qiu, Y.; Ma, P.X. Antibacterial anti-oxidant electroactive injectable hydrogel as self-healing wound dressing with hemostasis and adhesiveness for cutaneous wound healing. Biomaterials 2017, 122, 34–47. [Google Scholar] [CrossRef] [PubMed]
  67. Razzaq, M.Y.; Gonzalez-Gutierrez, J.; Mertz, G.; Ruch, D.; Schmidt, D.F.; Westermann, S. 4D Printing of Multicomponent Shape-Memory Polymer Formulations. Appl. Sci. 2022, 12, 7880. [Google Scholar] [CrossRef]
  68. Anas, S.; Khan, M.Y.; Rafey, M.; Faheem, K. Concept of 5D printing technology and its applicability in the healthcare industry. Mater. Today Proc. 2022, 56, 1726–1732. [Google Scholar] [CrossRef]
  69. Wang, M.; Li, W.; Hao, J.; Gonzales, A.; Zhao, Z.; Flores, R.S.; Kuang, X.; Mu, X.; Ching, T.; Tang, G.; et al. Molecularly cleavable bioinks facilitate high-performance digital light processing-based bioprinting of functional volumetric soft tissues. Nat. Commun. 2022, 13, 3317. [Google Scholar] [CrossRef]
  70. Caliari, S.R.; Burdick, J.A. A practical guide to hydrogels for cell culture. Nat. Methods 2016, 13, 405–414. [Google Scholar] [CrossRef]
  71. Frantz, C.; Stewart, K.M.; Weaver, V.M. The extracellular matrix at a glance. J. Cell Sci. 2010, 123, 4195–4200. [Google Scholar] [CrossRef]
  72. Miao, S.; Zhu, W.; Castro, N.J.; Nowicki, M.; Zhou, X.; Cui, H.; Fisher, J.P.; Zhang, L.G. 4D printing smart biomedical scaffolds with novel soybean oil epoxidized acrylate. Sci. Rep. 2016, 6, 27226. [Google Scholar] [CrossRef]
  73. Liu, N.; Ye, X.; Yao, B.; Zhao, M.; Wu, P.; Liu, G.; Zhuang, D.; Jiang, H.; Chen, X.; He, Y.; et al. Advances in 3D bioprinting technology for cardiac tissue engineering and regeneration. Bioact. Mater. 2021, 6, 1388–1401. [Google Scholar] [CrossRef] [PubMed]
  74. Gaharwar, A.K.; Singh, I.; Khademhosseini, A. Engineered biomaterials for in situ tissue regeneration. Nat. Rev. Mater. 2020, 5, 686–705. [Google Scholar] [CrossRef]
  75. Mathur, V.; Agarwal, P.; Kasturi, M.; Srinivasan, V.; Seetharam, R.N.; Vasanthan, K.S. Innovative bioinks for 3D bioprinting: Exploring technological potential and regulatory challenges. J. Tissue Eng. 2025, 16, 20417314241308022. [Google Scholar] [CrossRef]
  76. Vasiliadis, A.V.; Koukoulias, N.; Katakalos, K. From Three-Dimensional (3D)- to 6D-Printing Technology in Orthopedics: Science Fiction or Scientific Reality? J. Funct. Biomater. 2022, 13, 101. [Google Scholar] [CrossRef]
  77. Han, X.; Saiding, Q.; Cai, X.; Xiao, Y.; Wang, P.; Cai, Z.; Gong, X.; Gong, W.; Zhang, X.; Cui, W. Intelligent Vascularized 3D/4D/5D/6D-Printed Tissue Scaffolds. Nano-Micro Lett. 2023, 15, 239. [Google Scholar] [CrossRef] [PubMed]
  78. Lutolf, M.P.; Hubbell, J.A. Synthetic biomaterials as instructive extracellular microenvironments for morphogenesis in tissue engineering. Nat. Biotechnol. 2005, 23, 47–55. [Google Scholar] [CrossRef]
  79. Place, E.S.; George, J.H.; Williams, C.K.; Stevens, M.M. Synthetic polymer scaffolds for tissue engineering. Chem. Soc. Rev. 2009, 38, 1139. [Google Scholar] [CrossRef]
  80. Albrecht, F.B.; Schmidt, F.F.; Schmidt, C.; Börret, R.; Kluger, P.J. Robot-based 6D bioprinting for soft tissue biomedical applications. Eng. Life Sci. 2024, 24, e2300226. [Google Scholar] [CrossRef]
  81. Arsuffi, B.; Siqueira, G.; Nyström, G.; Titotto, S.; Magrini, T.; Daraio, C. Programmable Multi-Responsive Nanocellulose-Based Hydrogels With Embodied Logic. Adv. Funct. Mater. 2024, 34, 2409864. [Google Scholar] [CrossRef]
  82. Amiri, E.; Sanjarnia, P.; Sadri, B.; Jafarkhani, S.; Khakbiz, M. Recent advances and future directions of 3D to 6D printing in brain cancer treatment and neural tissue engineering. Biomed. Mater. 2023, 18, 052005. [Google Scholar] [CrossRef]
  83. Abedin, E.; Lari, R.; Mahdavi Shahri, N.; Fereidoni, M. Development of a demineralized and decellularized human epiphyseal bone scaffold for tissue engineering: A histological study. Tissue Cell 2018, 55, 46–52. [Google Scholar] [CrossRef]
  84. Kara, A.; Distler, T.; Polley, C.; Schneidereit, D.; Seitz, H.; Friedrich, O.; Tihminlioglu, F.; Boccaccini, A.R. 3D printed gelatin/decellularized bone composite scaffolds for bone tissue engineering: Fabrication, characterization and cytocompatibility study. Mater. Today Bio 2022, 15, 100309. [Google Scholar] [CrossRef] [PubMed]
  85. Chopra, V.; Fuentes-Velasco, V.; Nacif-Lopez, S.R.; Melendez-Malpicca, J.; Mendez-Hernandez, A.S.; Ramos-Mendez-Iris, L.F.; Arroyo-Jimenez, D.A.; Reyes-Segura, D.G.; Gonzalez-Y-Mendoza, P.; Sanchez-Hernandez, K.A.; et al. Advancements in 3D-4D printing of hydroxyapatite composites for bone tissue engineering. Ceram. Int. 2024, 50, 38819–38840. [Google Scholar] [CrossRef]
  86. Chen, A.; Su, J.; Li, Y.; Zhang, H.; Shi, Y.; Yan, C.; Lu, J. 3D/4D printed bio-piezoelectric smart scaffolds for next-generation bone tissue engineering. Int. J. Extreme Manuf. 2023, 5, 032007. [Google Scholar] [CrossRef]
  87. Yuan, X.; Zhu, W.; Yang, Z.; He, N.; Chen, F.; Han, X.; Zhou, K. Recent Advances in 3D Printing of Smart Scaffolds for Bone Tissue Engineering and Regeneration. Adv. Mater. 2024, 36, 2403641. [Google Scholar] [CrossRef]
  88. Xia, C.; Mei, S.; Gu, C.; Zheng, L.; Fang, C.; Shi, Y.; Wu, K.; Lu, T.; Jin, Y.; Lin, X.; et al. Decellularized cartilage as a prospective scaffold for cartilage repair. Mater. Sci. Eng. C 2019, 101, 588–595. [Google Scholar] [CrossRef]
  89. Chang, C.; Chen, C.; Liao, C.; Lin, F.; Hsu, Y.; Fang, H. Human acellular cartilage matrix powders as a biological scaffold for cartilage tissue engineering with synovium-derived mesenchymal stem cells. J. Biomed. Mater. Res. A 2014, 102, 2248–2257. [Google Scholar] [CrossRef]
  90. Schwarz, S.; Koerber, L.; Elsaesser, A.F.; Goldberg-Bockhorn, E.; Seitz, A.M.; Dürselen, L.; Ignatius, A.; Walther, P.; Breiter, R.; Rotter, N. Decellularized Cartilage Matrix as a Novel Biomatrix for Cartilage Tissue-Engineering Applications. Tissue Eng. Part A 2012, 18, 2195–2209. [Google Scholar] [CrossRef]
  91. Daly, A.C.; Freeman, F.E.; Gonzalez-Fernandez, T.; Critchley, S.E.; Nulty, J.; Kelly, D.J. 3D Bioprinting for Cartilage and Osteochondral Tissue Engineering. Adv. Healthc. Mater. 2017, 6, 1700298. [Google Scholar] [CrossRef]
  92. Behan, K.; Dufour, A.; Garcia, O.; Kelly, D. Methacrylated Cartilage ECM-Based Hydrogels as Injectables and Bioinks for Cartilage Tissue Engineering. Biomolecules 2022, 12, 216. [Google Scholar] [CrossRef]
  93. Chen, W.; Xu, Y.; Li, Y.; Jia, L.; Mo, X.; Jiang, G.; Zhou, G. 3D printing electrospinning fiber-reinforced decellularized extracellular matrix for cartilage regeneration. Chem. Eng. J. 2020, 382, 122986. [Google Scholar] [CrossRef]
  94. Dussoyer, M.; Michopoulou, A.; Rousselle, P. Decellularized Scaffolds for Skin Repair and Regeneration. Appl. Sci. 2020, 10, 3435. [Google Scholar] [CrossRef]
  95. Cui, H.; Chai, Y.; Yu, Y. Progress in developing decellularized bioscaffolds for enhancing skin construction. J. Biomed. Mater. Res. A 2019, 107, 1849–1859. [Google Scholar] [CrossRef] [PubMed]
  96. Dickson, K.; Lee, K.C.; Abdulsalam, A.; Amirize, E.; Kankam, H.K.N.; Ter Horst, B.; Gardiner, F.; Bamford, A.; Hejmadi, R.K.; Moiemen, N. A Histological and Clinical Study of MatriDerm® Use in Burn Reconstruction. J. Burn Care Res. 2023, 44, 1100–1109. [Google Scholar] [CrossRef]
  97. Lee, H.; Chun, W.; Kim, G. Three-Dimensional Artificial Skin Construct Bioprinted with a Marine-Based Biocomposite. Biomacromolecules 2023, 24, 2864–2878. [Google Scholar] [CrossRef] [PubMed]
  98. Khoshnood, N.; Zamanian, A. Decellularized extracellular matrix bioinks and their application in skin tissue engineering. Bioprinting 2020, 20, e00095. [Google Scholar] [CrossRef]
  99. Singh, D.; Singh, D.; Han, S. 3D Printing of Scaffold for Cells Delivery: Advances in Skin Tissue Engineering. Polymers 2016, 8, 19. [Google Scholar] [CrossRef]
  100. Pourchet, L.J.; Thepot, A.; Albouy, M.; Courtial, E.J.; Boher, A.; Blum, L.J.; Marquette, C.A. Human Skin 3D Bioprinting Using Scaffold-Free Approach. Adv. Healthc. Mater. 2017, 6, 1601101. [Google Scholar] [CrossRef]
  101. Mahdian, M.; Tabatabai, T.S.; Abpeikar, Z.; Rezakhani, L.; Khazaei, M. Nerve regeneration using decellularized tissues: Challenges and opportunities. Front. Neurosci. 2023, 17, 1295563. [Google Scholar] [CrossRef]
  102. Silva, D.M.D.; Barroca, N.; Pinto, S.C.; Semitela, Â.; De Sousa, B.M.; Martins, P.A.D.; Nero, L.; Madarieta, I.; García-Urkia, N.; Fernández-San-Argimiro, F.-J.; et al. Decellularized extracellular matrix-based 3D nanofibrous scaffolds functionalized with polydopamine-reduced graphene oxide for neural tissue engineering. Chem. Eng. J. 2023, 472, 144980. [Google Scholar] [CrossRef]
  103. Wu, Y.; Wang, J.; Shi, Y.; Pu, H.; Leak, R.K.; Liou, A.K.F.; Badylak, S.F.; Liu, Z.; Zhang, J.; Chen, J.; et al. Implantation of Brain-Derived Extracellular Matrix Enhances Neurological Recovery after Traumatic Brain Injury. Cell Transplant. 2017, 26, 1224–1234. [Google Scholar] [CrossRef] [PubMed]
  104. Vishwakarma, S.K.; Bardia, A.; Lakkireddy, C.; Paspala, S.A.B.; Khan, A.A. Bioengineering Human Neurological Constructs Using Decellularized Meningeal Scaffolds for Application in Spinal Cord Injury. Front. Bioeng. Biotechnol. 2018, 6, 150. [Google Scholar] [CrossRef]
  105. Choi, J.; Kim, J.; Jang, J.; Kim, H.; Choi, S.; Kwon, S. Decellularized sciatic nerve matrix as a biodegradable conduit for peripheral nerve regeneration. Neural Regen. Res. 2018, 13, 1796. [Google Scholar] [CrossRef] [PubMed]
  106. Knowlton, S.; Anand, S.; Shah, T.; Tasoglu, S. Bioprinting for Neural Tissue Engineering. Trends Neurosci. 2018, 41, 31–46. [Google Scholar] [CrossRef] [PubMed]
  107. Liu, X.; Hao, M.; Chen, Z.; Zhang, T.; Huang, J.; Dai, J.; Zhang, Z. 3D bioprinted neural tissue constructs for spinal cord injury repair. Biomaterials 2021, 272, 120771. [Google Scholar] [CrossRef]
  108. Bierman-Duquette, R.D.; Safarians, G.; Huang, J.; Rajput, B.; Chen, J.Y.; Wang, Z.Z.; Seidlits, S.K. Engineering Tissues of the Central Nervous System: Interfacing Conductive Biomaterials with Neural Stem/Progenitor Cells. Adv. Healthc. Mater. 2022, 11, 2101577. [Google Scholar] [CrossRef]
  109. Cadena, M.; Ning, L.; King, A.; Hwang, B.; Jin, L.; Serpooshan, V.; Sloan, S.A. 3D Bioprinting of Neural Tissues. Adv. Healthc. Mater. 2021, 10, 2001600. [Google Scholar] [CrossRef]
  110. Rana, D.; Zreiqat, H.; Benkirane-Jessel, N.; Ramakrishna, S.; Ramalingam, M. Development of decellularized scaffolds for stem cell-driven tissue engineering: Decellularized scaffolds for tissue engineering. J. Tissue Eng. Regen. Med. 2017, 11, 942–965. [Google Scholar] [CrossRef]
  111. Perea-Gil, I.; Uriarte, J.J.; Prat-Vidal, C.; Gálvez-Montón, C.; Roura, S.; Llucià-Valldeperas, A.; Soler-Botija, C.; Farré, R.; Navajas, D.; Bayes-Genis, A. In vitro comparative study of two decellularization protocols in search of an optimal myocardial scaffold for recellularization. Am. J. Transl. Res. 2015, 7, 558–573. [Google Scholar]
  112. El-Husseiny, H.M.; Mady, E.A.; Usui, T.; Ishihara, Y.; Yoshida, T.; Kobayashi, M.; Sasaki, K.; Ma, D.; Yairo, A.; Mandour, A.S.; et al. Adipose Stem Cell-Seeded Decellularized Porcine Pericardium: A Promising Functional Biomaterial to Synergistically Restore the Cardiac Functions Post-Myocardial Infarction. Vet. Sci. 2023, 10, 660. [Google Scholar] [CrossRef]
  113. Seif-Naraghi, S.B.; Salvatore, M.A.; Schup-Magoffin, P.J.; Hu, D.P.; Christman, K.L. Design and Characterization of an Injectable Pericardial Matrix Gel: A Potentially Autologous Scaffold for Cardiac Tissue Engineering. Tissue Eng. Part A 2010, 16, 2017–2027. [Google Scholar] [CrossRef]
  114. Yong, U.; Lee, S.; Jung, S.; Jang, J. Interdisciplinary approaches to advanced cardiovascular tissue engineering: ECM-based biomaterials, 3D bioprinting, and its assessment. Prog. Biomed. Eng. 2020, 2, 042003. [Google Scholar] [CrossRef]
  115. Capella-Monsonís, H.; Crum, R.J.; Hussey, G.S.; Badylak, S.F. Advances, challenges, and future directions in the clinical translation of ECM biomaterials for regenerative medicine applications. Adv. Drug Deliv. Rev. 2024, 211, 115347. [Google Scholar] [CrossRef]
  116. Zhang, X.; Chen, X.; Hong, H.; Hu, R.; Liu, J.; Liu, C. Decellularized extracellular matrix scaffolds: Recent trends and emerging strategies in tissue engineering. Bioact. Mater. 2022, 10, 15–31. [Google Scholar] [CrossRef]
  117. Xu, P.; Kankala, R.K.; Wang, S.; Chen, A. Decellularized extracellular matrix-based composite scaffolds for tissue engineering and regenerative medicine. Regen. Biomater. 2024, 11, rbad107. [Google Scholar] [CrossRef] [PubMed]
  118. Cramer, M.C.; Badylak, S.F. Extracellular Matrix-Based Biomaterials and Their Influence Upon Cell Behavior. Ann. Biomed. Eng. 2020, 48, 2132–2153. [Google Scholar] [CrossRef] [PubMed]
  119. Polonchuk, L.; Gentile, C. Current state and future of 3D bioprinted models for cardio-vascular research and drug development. ADMET DMPK 2021, 9, 231–242. [Google Scholar] [CrossRef] [PubMed]
  120. Ramos-Rodriguez, D.H.; Leach, J.K. Decellularized Cell-Secreted Extracellular Matrices as Biomaterials for Tissue Engineering. Small Sci. 2025, 5, 2400335. [Google Scholar] [CrossRef]
  121. Valdoz, J.C.; Johnson, B.C.; Jacobs, D.J.; Franks, N.A.; Dodson, E.L.; Sanders, C.; Cribbs, C.G.; Van Ry, P.M. The ECM: To Scaffold, or Not to Scaffold, That Is the Question. Int. J. Mol. Sci. 2021, 22, 12690. [Google Scholar] [CrossRef]
Figure 1. Major tissue/organ decellularization techniques for bioscaffolds fabrication. Decellularization approaches designed to eliminate cellular components and antigens, while maintaining the structural integrity and functional properties of the native ECM. Decellularization methods are categorized into chemical, enzymatic, and physical categories, and may be used individually or in combination to enhance ECM preservation. Created with BioRender.com.
Figure 1. Major tissue/organ decellularization techniques for bioscaffolds fabrication. Decellularization approaches designed to eliminate cellular components and antigens, while maintaining the structural integrity and functional properties of the native ECM. Decellularization methods are categorized into chemical, enzymatic, and physical categories, and may be used individually or in combination to enhance ECM preservation. Created with BioRender.com.
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Figure 2. Schematic overview of multidimensional bioprinting approaches. Unlike traditional 3D bioprinting, 4D printed scaffolds respond to internal or external stimuli. 5D bioprinting incorporates tissue remodeling capabilities, while 6D systems integrate biosensors to monitor the local environment and activate responses such as growth factor release, stiffness modulation, or shape change. Created with BioRender.com.
Figure 2. Schematic overview of multidimensional bioprinting approaches. Unlike traditional 3D bioprinting, 4D printed scaffolds respond to internal or external stimuli. 5D bioprinting incorporates tissue remodeling capabilities, while 6D systems integrate biosensors to monitor the local environment and activate responses such as growth factor release, stiffness modulation, or shape change. Created with BioRender.com.
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Table 1. Overview of key design techniques for bioscaffolds fabrication and their main applications in tissue engineering and regenerative medicine approaches.
Table 1. Overview of key design techniques for bioscaffolds fabrication and their main applications in tissue engineering and regenerative medicine approaches.
TechniqueECM InvolvementDescriptionApplicationsReferences
DecellularizationDirect ECM useRemoval of cells and nucleic acids from tissues; natural ECM mimicBone, gastrointestinal tract, respiratory system, vascular, and neural tissue engineering[26,27]
ElectrospinningMimic ECMHigh voltage application; micro-/nano-structure fibers fabricationSkin, bone, cartilage, heart, nerve repair and regeneration[28]
Freeze-Drying
Lyophilization
Mimic ECMPorous scaffold fabrication; freeze-drying of polymer solutionSkin repair; bone, cardiac tissue and lung tissue engineering[29]
Solvent CastingNo ECMPorous scaffold fabrication; polymer blended with salt (porogen)Bone engineering[30]
Gas FoamingNo ECMPorous scaffold fabrication; pores created by using high-pressure gasOsteochondral regeneration[31]
Multidimensional (3D/4D/5D/6D)
Bioprinting
Use of ECM molecules as bio-inkLayer-by-layer structures design; bioinks use (e.g., dECM-derived components or synthetic)Skin, bone, muscle, cardiovascular system, respiratory system, digestive system engineering; neural and adipose tissue regeneration[32]
CryogelUse of ECM moleculesPorous scaffold fabrication; freeze-thaw cyclingBone and cartilage regeneration[33]
Abbreviations: ECM, extracellular matrix; dECM, decellularized extracellular matrix; 3D, three-dimensional; 4D, four-dimensional; 5D, five-dimensional; 6D, six-dimensional.
Table 2. Comparison of multidimensional 3D, 4D, 5D, and 6D bioprinting for bioscaffold development. The references supporting the information in this table are cited in the corresponding sections of the main text.
Table 2. Comparison of multidimensional 3D, 4D, 5D, and 6D bioprinting for bioscaffold development. The references supporting the information in this table are cited in the corresponding sections of the main text.
Bioprinting TypeMain Bioink ComponentDefinitionKey FeaturesAdvantagesDisadvantages
3D Bioprinting
Natural hydrogels: alginate, gelatin, collagen

Synthetic hydrogels: PEG-based hydrogels

ECM-derived bioinks: decellularized matrix
Layer-by-layer deposition of bioinks Fixed 3D structure
Compatible with various bioinks
High spatial control
Simple and mature technology
Precise shape control
Cost-effective and scalable
No adaptability
Limited ability to mimic dynamic biological functions
4D BioprintingSmart biopolymers like chitosan, PNIPAAm [poly(N-isopropylacrylamide)]

Hydrogels with embedded nanoparticles for remote actuation
Scaffold changes shape and/or function over time in response to stimuliStimuli-responsive (i.e., pH, temperature) Dynamic transformationMimics tissue morphogenesis
Enables smart drug delivery and/or shape change
Improved biofunctionality
Complex material requirements
Difficult to control transformations
5D BioprintingReinforced bioinks: nanocellulose, nanoclay, graphene oxide for mechanical strength

Hybrid hydrogels: GelMA with reinforcing fillers and nanoparticles for remote actuation
Additional rotational axes for more complex printingTissue-specific matrix scaffold
High mechanical fidelity
Enhanced anatomical accuracy
Ideal for curved or layered tissues
Mechanically complex
High cost
Motion challenges
6D BioprintingHydrogels integrated with soft electronics (e.g., flexible conductive inks)

Hybrid smart composites with AI-enabled interfaces or wireless modules
Fusion of 5D spatial flexibility and 4D dynamic responsivenessSmart materials
Multi-axis printing
Dynamic and anatomical conformance
Ultimate precision and adaptability
Mimic in vivo architecture
Ideal for on-body printing
Extremely complex
Research-use
High cost and limited availability
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Mangani, S.; Vetoulas, M.; Mineschou, K.; Spanopoulos, K.; Vivanco, M.d.; Piperigkou, Z.; Karamanos, N.K. Design and Applications of Extracellular Matrix Scaffolds in Tissue Engineering and Regeneration. Cells 2025, 14, 1076. https://doi.org/10.3390/cells14141076

AMA Style

Mangani S, Vetoulas M, Mineschou K, Spanopoulos K, Vivanco Md, Piperigkou Z, Karamanos NK. Design and Applications of Extracellular Matrix Scaffolds in Tissue Engineering and Regeneration. Cells. 2025; 14(14):1076. https://doi.org/10.3390/cells14141076

Chicago/Turabian Style

Mangani, Sylvia, Marios Vetoulas, Katerina Mineschou, Konstantinos Spanopoulos, Maria dM. Vivanco, Zoi Piperigkou, and Nikos K. Karamanos. 2025. "Design and Applications of Extracellular Matrix Scaffolds in Tissue Engineering and Regeneration" Cells 14, no. 14: 1076. https://doi.org/10.3390/cells14141076

APA Style

Mangani, S., Vetoulas, M., Mineschou, K., Spanopoulos, K., Vivanco, M. d., Piperigkou, Z., & Karamanos, N. K. (2025). Design and Applications of Extracellular Matrix Scaffolds in Tissue Engineering and Regeneration. Cells, 14(14), 1076. https://doi.org/10.3390/cells14141076

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