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Mechanical Remodeling and Mechanosensing after Spinal Cord Injury: From Molecular to Translational Approaches
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Jier Ma1, 2, Xiumei Tang1, 3, Jie Tan1, 4, Baoshuai Bai2, 5, Sen Guo6, Shenghui Shang2, Zhaoliang Hou2, Yixiao He2, Zhengdong Zhang1, 7, *, Wenzhao Wang1, 2, 8, *, Zhijian Wei2, *
Research. Vol 9 Article ID 1361
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Research. Vol 9 Article ID 1361
• REVIEW ARTICLE •
Mechanical Remodeling and Mechanosensing after Spinal Cord Injury: From Molecular to Translational Approaches
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Jier Ma1, 2, Xiumei Tang1, 3, Jie Tan1, 4, Baoshuai Bai2, 5, Sen Guo6, Shenghui Shang2, Zhaoliang Hou2, Yixiao He2, Zhengdong Zhang1, 7, *, Wenzhao Wang1, 2, 8, *, Zhijian Wei2, *
Affiliations
  • 1West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • 2Department of Orthopedic, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China.
  • 3State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu 610041, China.
  • 4Hubei Key Laboratory of Sports Injury and Precision Therapy, Wuhan Fourth Hospital, Wuhan 430030, China.
  • 5Department of Plastic Surgery, The Second Affiliated Hospital of Zhejiang University College of Medicine, Hangzhou 310000, China.
  • 6Department of Pathology, Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo 100-8994, Japan.
  • 7Department of Orthopedics, The First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China.
  • 8School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China.
About Author:

† These authors contributed equally to this work.

Published: 2026-07-20 doi: 10.34133/research.1361
Outline
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Spinal cord injury triggers a profound, spatiotemporally dynamic remodeling of the local mechanical microenvironment. Acute tissue softening and extracellular matrix degradation give way progressively to chronic fibrotic stiffening and dense matrix cross-linking. This pathological transformation establishes a formidable physical barrier to axonal regeneration while simultaneously disrupting the biomechanical signals that normally guide cellular behavior and maintain tissue homeostasis. Within this evolving niche, diverse cell populations decode altered stiffness and matrix composition through an array of specialized mechanosensitive receptors. The resulting intracellular signaling cascades orchestrate lineage-specific transcriptional and cytoskeletal programs that ultimately govern the delicate equilibrium between endogenous repair and irreversible fibrotic scar consolidation. This review examines the temporal progression and spatial heterogeneity of postinjury mechanical alterations across the spinal parenchyma, delineates the principal mechanotransduction pathways engaged, and critically evaluates emerging therapeutic strategies designed to modulate this aberrant physical landscape and restore a permissive regenerative milieu. We highlight translational advances spanning surgical decompression, mechanically responsive biomaterials engineered for dynamic niche reprogramming, and mechanoprimed cellular therapies. By framing spinal cord injury as a disorder of aberrant mechanobiology, this work advances a conceptual foundation for precision interventions aimed at overcoming regenerative failure through active remodeling of the tissue microenvironment.

Jier Ma, Xiumei Tang, Jie Tan, Baoshuai Bai, Sen Guo, Shenghui Shang, Zhaoliang Hou, Yixiao He, Zhengdong Zhang, Wenzhao Wang, Zhijian Wei. Mechanical Remodeling and Mechanosensing after Spinal Cord Injury: From Molecular to Translational Approaches[J]. Research, 2026 , 9 (7) : 1361 - . DOI: 10.34133/research.1361
Spinal cord injury (SCI) is a severe neurological condition resulting from traumatic or nontraumatic damage to the spinal cord, leading to temporary or permanent impairment of motor, sensory, and autonomic functions below the level of injury [1]. The global burden of SCI remained substantial in 2021, with over 15.4 million prevalent cases worldwide and approximately 574,500 new incident cases [2]. These trends collectively position SCI as a critical and dynamic public health challenge, necessitating continued research into its underlying mechanisms and novel treatment strategies.
The pathophysiology of SCI is classically understood as a 2-phase process. An immediate primary injury characterized by mechanical disruption of neural tissue, vasculature, and cellular membranes, followed by a prolonged secondary injury cascade involving ischemia, excitotoxicity, inflammation, oxidative stress, and eventual glial scarring [3]. This secondary injury cascade is accompanied by profound biomechanical remodeling, in which acute tissue edema and sustained shifts in local pressure converge with extensive extracellular matrix (ECM) remodeling. This remodeling is characterized by the dysregulated deposition of structural proteins such as collagen and fibronectin, alongside inhibitory molecules such as chondroitin sulfate proteoglycans (CSPGs) [1]. Consequently, the mechanical properties of the injured tissue, including its stiffness, compliance, and viscoelasticity, are dramatically altered [4]. The remolded ECM actively generates and transmits diverse mechanical cues, including static and dynamic strain, compression, and shear stress [5], which are detected by specialized mechanosensitive receptors on neural cells, triggering intracellular pathways that critically influence cell survival, activation state, and differentiation potential [6,7].This intersection of mechanical forces and biological responses is broadly termed biomechanics or mechanobiology in the context of SCI. Therefore, the postinjury mechanical microenvironment actively shapes the subsequent phases of degeneration, scar formation, and failed regeneration.
Given the established significance of mechanical signaling throughout the continuum of SCI pathogenesis, this review systematically investigates the interplay between mechanobiological mechanisms and emerging therapeutic avenues. By tracing how the evolving postinjury mechanical landscape is sensed and interpreted by diverse cell populations, this review aims to resolve the causal chain that links pathological tissue remodeling to divergent cellular outcomes and to identify the critical nodes where therapeutic intervention may redirect this trajectory toward repair. Rather than treating matrix stiffening, mechanotransduction, and cellular responses as separate phenomena, this review integrates them into a sequential framework that spans from mechanical perturbation to functional consequence, with deliberate emphasis on the spatiotemporal heterogeneity and cell type specificity that distinguish the SCI niche from other models of tissue fibrosis or central nervous system (CNS) injury. In doing so, this review moves beyond cataloging individual mechanosensitive pathways to examine how multiple receptor systems, downstream effectors, and transcriptional programs converge within specific cellular contexts to govern fate decisions under pathological mechanical loads. The subsequent sections trace this continuum through the spatiotemporal evolution of postinjury tissue mechanics, the mechanosensitive receptor systems that interpret these physical signals, the cell-type-specific responses that collectively govern the regenerative-scarring equilibrium, and the therapeutic strategies designed to remodel this aberrant physical microenvironment toward a proregenerative state.
Following SCI, the mechanical microenvironment undergoes a complex spatiotemporal evolution involving dynamic changes in tissue stiffness, ECM composition, cellular constituents, and molecular regulatory networks. These changes exhibit substantial variations across different phases of injury and distinct anatomical regions, collectively shaping a microenvironment that is either inhibitory or permissive to neural repair (Table 1).
The evolution of the mechanical microenvironment postinjury is a continuum, broadly divisible into acute, subacute, and chronic phases, each characterized by distinct pathological, pathophysiological, and molecular features (Fig. 1). Importantly, the reported stiffness trends are highly dependent on experimental context, including the choice of injury model, the spatial resolution of the measurement technique, and the specific region sampled, as elaborated below.
The hallmark of the acute phase is tissue softening [8]. In a rat thoracic crush injury model, microindentation testing revealed that the elastic modulus of the injury region dropped sharply from a baseline of approximately 9.9 kPa in uninjured tissue to a median of 5.8 kPa at 1 d and further to 3.3 kPa at 3 d postinjury, representing a more than 2-fold reduction relative to uninjured controls [8]. Concurrently, the drop in peak force, an indicator of tissue viscosity, increased from a baseline of approximately 57% in uninjured tissue to 80% at 3 d postinjury, indicating that the acutely injured cord becomes not only softer but also markedly more viscous [8]. During the early postinjury period, disruption of the blood–spinal cord barrier, infiltration of inflammatory cells, and edema lead to ECM degradation and an increase in tissue compliance, resulting in decreased stiffness [9,10]. Pathologically, this phase is marked by hemorrhage, initial cavitation, and the peak of the acute inflammatory response [10]. Cellularly, neurons undergo “transcriptional shock” with marked down-regulation of global gene expression, while astrocytes, oligodendrocyte progenitor cells, and microglia initiate mitotic activation [9]. At the molecular level, there is a rapid up-regulation of proinflammatory cytokines, specific ECM components such as fibronectin and tenascin C, and early glial markers including glial fibrillary acidic protein (GFAP) [11].
This phase represents a critical window for the transition of mechanical properties and scar formation. Tissue stiffness begins to diverge. On one hand, softening may persist or even intensify, particularly within the glial scar regions. Atomic force microscopy (AFM) indentation of a rat spinal cord crush injury model revealed significant tissue softening within the lesion site at 8 d and 1.5 weeks postinjury [4]. This correlates with reactive astrogliosis, up-regulation of vimentin and GFAP, and the accumulation of hydrated proteoglycans such as CSPGs [4,9]. On the other hand, the fibrotic process is initiated. Deposition of fibrillar collagens begins, leading to progressive hardening of the injury core [8,12]. Microindentation testing in a rat thoracic contusion model demonstrated that the elastic modulus of the injury region progressively recovered from its acute nadir of approximately 3.3 kPa at 3 d postinjury to 8.1 kPa by 2 weeks and returned to near-baseline levels of approximately 10 kPa by 4 weeks [8]. In addition, AFM force spectroscopy in a mouse thoracic hemisection model revealed that the elastic modulus of the injury site progressively increased from approximately 7 ± 4 kPa at 72 h postinjury to 54 ± 32 kPa by 2 weeks, correlating with increased collagen fiber density and tortuosity as evidenced by second-harmonic generation imaging [13]. Pathologically, the glial and fibrotic scars consolidate, and cystic cavities expand [9]. Angiogenic responses peak around day 7, with basement membrane components laminin providing a temporary permissive scaffold for axonal growth [12]. Cellularly, neuronal transcriptional activity gradually recovers [9]. Notably, a second wave of microglial activation emerges at day 14 postinjury, coinciding temporally with a secondary decline in neuronal populations, suggesting a subsequent round of attack [9]. Molecularly, CSPGs reach peak expression, contributing to an inhibitory microenvironment [14].
The chronic phase is characterized by persistent tissue remodeling and stabilization of mechanical properties. The ultimate trend in stiffness varies across studies, likely depending on the injury model and assessment methodology. Some studies report significant tissue stiffening due to the formation of a dense, cross-linked fibrotic scar [8,15]. Microindentation testing in a rat contusion model revealed that by 8 weeks postinjury, the elastic modulus of the injury region had risen to a median of 12.9 kPa and remained elevated at 12 weeks (13.7 kPa), an approximately 4-fold increase over the acute nadir at 3 d postinjury [8]. Similarly, rheological and indentation studies in a mouse contusion model have shown that chronic fibrotic scar stiffness reaches 5 to 10 kPa at 8 weeks postinjury, compared to 0.3 to 0.8 kPa in uninjured tissue [15]. In contrast, others indicate that the mature glial scar core, devoid of collagen I but rich in CSPGs, remains relatively soft [4]. AFM measurements in a rat spinal cord crush injury model demonstrated that significant tissue softening within the lesion site persisted at 3 weeks postinjury, indicating that glial scar softening extends into the subacute-to-chronic transition [4]. These divergent findings are reconciled by differences in injury model, sampling region, and measurement technique. Measurements targeting the collagen-rich fibrotic scar in contusion models, whether by microindentation or AFM, reveal chronic tissue stiffening; in contrast, AFM measurements specifically targeted to the CSPG-rich glial scar in crush injuries resolve microscale tissue softening [4,8,15]. The chronic SCI lesion is thus a mechanically composite structure rather than a uniformly stiff or soft entity.
Pathologically, mature scars, persistent cystic cavities, and dense nuclear packing are established [16]. Chronic vascular remodeling and sustained low-grade inflammation indicate prolonged microenvironmental instability. Cellularly, microglia have not returned to their uninjured state and exhibit elevated expression of Alzheimer’s disease-associated genes, such as Apoe, Spp1, and Apoc1, indicating a sustained adverse immune microenvironment [9]. Furthermore, 3 distinct astrocyte subtypes present in the uninjured spinal cord converge into a single reactive state after injury, forming interconnected reticular structures [9]. What’s more, tip cells serve as the primary source of the proangiogenic factor Plgf (placental growth factor) and the vessel-destabilizing factor Angpt-2 (angiopoietin 2), whereas astrocytes subsequently promote vessel stabilization through Angpt-1 expression, collectively revealing a dynamic transition from angiogenic sprouting to vascular maturation after SCI [17]. Molecularly, expression of some structural ECM proteins, including tenascin R and myelin, may be down-regulated, while inhibitory CSPGs persist [4].
Mechanical changes post-SCI are not uniform but exhibit a gradient-like spatial heterogeneity radiating from the epicenter toward rostral, caudal, and surrounding tissues.
The lesion core undergoes the most dramatic alterations. In the chronic phase, a fibrotic scar core typically forms, rich in fibrillar collagens, leading to significant stiffening. This scar exhibits a heterogeneous architecture, comprising a dense peripheral rim of collagen-producing cells that apposes the astroglial scar and encloses a looser inner core [18]. The dense outer rim creates a physically low-porosity barrier that severely impedes cell infiltration and axonal regeneration [19]. Cellularly, this region is dominated by fibroblasts derived from platelet-derived growth factor receptor β-positive type A pericytes that detach from the vascular wall, proliferate, and express α-smooth muscle actin [20], as well as macrophages whose recruitment is mediated by a proliferation inducing ligand via up-regulation of tumor necrosis factor-α and C–C motif chemokine ligand 2 [21], with a notable absence of neurons and oligodendrocytes [22]. The molecular environment of the fibrotic scar is highly inhibitory, rich in collagen I and fibronectin [20].
Surrounding the fibrotic core, a distinct glial scar forms. The glial scar is composed of reactive astrocytes, neuron glial antigen 2-positive (NG2+) oligodendrocyte progenitor cells, and microglia in the penumbra [23]. Molecularly, reactive astrocytes respond to proinflammatory cytokines such as transforming growth factor-β (TGF-β) and fibrinogen via SMAD and signal transducers and activators of transcription signaling pathways, which drive GFAP up-regulation and hypertrophy [23]. The glial scar is marked by an abundance of CSPGs, including neurocan, versican, brevican, and NG2, whose expression peaks at 2 weeks postinjury and persists chronically [23]. Formation of the compact astrocyte scar is essentially complete by 2 to 4 weeks after injury, marking the transition to the chronic lesion stage [24].
The glial scar establishes a spatially organized border around the fibrotic core, forming distinct proximal and distal boundaries that create a physical interface with the nonneural lesion [23]. Functionally, this border zone acts as a biochemical barrier, where inhibitory molecules such as CSPGs and tenascin C are distributed in a gradient that decreases in concentration from the core outward, potently inhibiting axonal sprouting and regeneration [5]. Paradoxically, this region also contains permissive substrates such as laminin and exhibits active angiogenesis and cellular activity, constituting a complex and contradictory microenvironment [25].
Beyond the glial border, the fibroblast-rich lesion core constitutes a distinct cellular barrier that actively impedes axonal regeneration. Forming a dense peripheral rim of collagen type I α1 chain-positive perivascular fibroblasts that abuts the astroglial scar, the fibrotic scar borders exhibit a structural organization with inflammatory macrophages localized predominantly within the inner region of the lesion core [18]. Within this fibrotic compartment, regenerating axons undergo dieback upon contact with pericyte-derived stromal cells at the glial–fibrotic interface, forming retraction bulbs that stall further extension; conversely, attenuation of this fibrotic component reduces axonal retraction and allows closer approach to the lesion margin [26].
Beyond the glial and fibrotic borders, a distinct microglial scar forms at the interface between reactive astrocytes and infiltrating immune cells. Following SCI, microglia proliferate extensively during the first week and accumulate at the lesion border, positioning themselves between the astrocytic scar on the outside and blood-derived myeloid cells on the inside [27]. Depletion of microglia disrupts astrocytic scar organization, leads to widespread inflammation and satellite lesions, and impairs locomotor recovery, indicating that the microglial border is an essential component of the neuroprotective scar that confines inflammation and supports tissue repair [27]. Mechanistically, the transmembrane receptor Plexin-B2 is up-regulated in injury-activated microglia and macrophages, where it promotes cell dispersion, contact inhibition of locomotion, and matrix compaction [28]. Genetic ablation of Plexin-B2 in myeloid cells impairs corralling, resulting in intermingling of immune cells with astrocytes, inflammatory spillover beyond the lesion core, disorganized ECM deposition, and worse motor sensory recovery [28].
Mechanical and molecular alterations extend far beyond the primary injury site. In general, the rostral segment exhibits a more pronounced and sustained molecular and cellular response compared to the caudal segment. The rostral region shows stronger up-regulation of ECM-related genes, glial activation, Wallerian degeneration, and TGF-β2 expression, potentially leading to more pronounced secondary stiffening or ECM remodeling in this area [29]. Around lumbar motor neurons, perineuronal net (PNN) structure undergoes spatiotemporally specific “loosening followed by tightening” dynamics, affecting the plasticity of distal neural circuits [30]. Such remote effects may contribute to clinical sequelae such as chronic pain, spasticity, or compensatory plasticity.
The mechanical properties of gray and white matter diverge in both the uninjured and injured spinal cord, and these differences are paralleled by distinct structural and cellular responses. White matter is consistently softer than gray matter, with gray matter being approximately twice as stiff as white matter in the uninjured state [4]. Postinjury, both undergo tissue softening, but their spatial patterns differ. Gray matter softening occurred both within and outside the visible lesion site, whereas white matter softening remained confined to the injury site [4].
Structurally, gray and white matter also follow distinct degenerative trajectories that vary by spinal level [31]. Rostral to the lesion, white matter atrophy occurs early while gray matter degeneration initially lags but subsequently accelerates, reaching similar magnitudes by 1.5 years postinjury [32]; in contrast, caudal to the injury, gray and white matter atrophy progresses concurrently from the earliest time points [32]. These spatiotemporally distinct degenerative trajectories suggest that white and gray matter are governed by fundamentally different cellular and molecular programs.
At the cellular level, this regional divergence is reflected in astrocyte reactivity. White matter lesion-remote astrocytes acquire a distinct reactive state marked by communication network factor 1 up-regulation, which governs local microglial lipid metabolism and phagocytic function to mediate white matter repair [33]. Gray matter astrocytes, by contrast, primarily engage in synaptic remodeling and circuit modulation [33]. Furthermore, white-matter-derived astrocytes migrate into the gray matter to form a distinct reactive subpopulation characterized by insulin-like growth factor binding protein 2 (Igfbp2) up-regulation, while resident gray matter astrocytes markedly diminish [34]. Thus, this injury-induced, white-matter-originating astrocyte subpopulation may represent a novel therapeutic target. Molecularly, the white matter exhibits a more rapid and robust response than the gray matter during the acute phase, consistent with this regional specialization.
Following SCI, cells within the lesion and surrounding penumbra are exposed to a profoundly altered mechanical microenvironment characterized by dynamic changes in tissue stiffness, local tension, and ECM composition. To sense and adapt to these biomechanical cues, cells use a repertoire of mechanosensitive receptors that transduce physical forces into biochemical signals, critically influencing postinjury pathology and repair.
The Piezo family, particularly Piezo1, emerges as a crucial mechanosensor that interprets the complex mechanical microenvironment of the injured spinal cord (Fig. 2). Functioning as a primary mechanotransducer, Piezo1 converts extracellular mechanical cues into intracellular biochemical signals by mediating Ca2+ influx, thereby regulating downstream effectors such as yes-associated protein (YAP) and orchestrating diverse cellular outcomes. The direction and consequence of Piezo1 activation are profoundly context dependent, governed by cell type, substrate mechanics, and the ensuing signaling cascade.
In neural stem cells (NSCs), Piezo1 couples mechanical signals to fate specification through YAP-dependent transcriptional regulation, but the resulting lineage outcome depends on both the absolute stiffness and the dynamic properties of the substrate. On static stiff substrates, myosin-II-dependent traction forces activate Piezo1 to promote YAP nuclear translocation, favoring neuronal differentiation while suppressing astrogenesis [6]. Pharmacological inhibition of Piezo1 with grammostola spatulata mechanotoxin 4 or small-interfering-RNA-mediated knockdown reduced neuronal differentiation while promoting astrogenesis and concomitantly decreased nuclear YAP localization [6]. Conversely, on dynamically softening alginate hydrogels, Piezo1-mediated Ca2+ influx synergizes with increased F-actin assembly and cytoskeletal tension to also drive YAP nuclear translocation, yet this results in the activation of astrocytic marker genes via YAP–transcriptional enhanced associate domain (TEAD)-mediated transcription [35]. The observation that YAP nuclear entry is required for both neuronal and astrocytic specification in NSCs indicates that lineage outcome is determined by factors beyond YAP localization alone. The absolute stiffness of the substrate differs by orders of magnitude between the 2 systems and dictates the magnitude of membrane tension and the intensity of Piezo1-mediated Ca2+ influx. Superimposed on this static stiffness difference, the progressive decross-linking of alginate hydrogels introduces dynamic mechanical perturbations that are absent on rigid static substrates, encoding qualitatively distinct signals that may guide YAP toward different transcriptional partners. The cell-intrinsic transcriptional landscape further shapes how these signals are interpreted, although which specific cofactors engage YAP under distinct mechanical conditions remains to be experimentally determined.
In mesenchymal stem cells (MSCs), Piezo1–YAP coupling follows a distinct logic, whereby moderate stiffness favors cytoplasmic YAP functions over nuclear transcriptional activity. On static soft substrates (~1.2 kPa), Piezo1 activation reduces nuclear YAP accumulation and promotes cytoplasmic retention, accompanied by up-regulation of neural-lineage-related genes, such as EGR2 and SOX10, and enhanced paracrine secretion of neurotrophic factors [36]. This outcome illustrates another logic of Piezo1–YAP coupling, whereby moderate stiffness in a 3-dimensional (3D) architecture favors cytoplasmic YAP functions over nuclear transcriptional activity.
In mature neurons, Piezo1 governs axonal regenerative capacity through a fundamentally distinct mechanism that bypasses YAP/transcriptional coactivator with PDZ-binding motif (TAZ) entirely, instead coupling mechanical signals directly to local cytoskeletal dynamics. In dorsal root ganglion (DRG) neurons, Piezo1 is enriched in growth cones and is preferentially activated on soft substrates (0.15 to 5 kPa), where it acts as a key mediator of stiffness-dependent axon regeneration. On soft, nonpermissive substrates, Piezo1 activation initiates a Ca2+–calmodulin-dependent protein kinase II (CaMKII)–focal adhesion kinase (FAK)–actin signaling cascade that ultimately inhibits axonal extension, with Piezo1 knockdown enhancing axon growth both in vitro and in vivo while accelerating functional sensory recovery, thereby functioning as a molecular brake under unfavorable mechanical conditions [37]. This YAP-independent mechanism highlights a key signaling bifurcation downstream of Piezo1. In stem cells, Ca2+ signals converge on YAP/TAZ-mediated transcriptional regulation, whereas in postmitotic neurons, Ca2+ is directly coupled to local cytoskeletal dynamics at the growth cone. The spatial restriction of Piezo1-mediated Ca2+ transients to growth cones further enables subcellular control of axon behavior without engaging global transcriptional reprogramming. Collectively, these findings establish Piezo1 as a context-dependent mechanosensory rheostat that integrates stiffness magnitude, matrix dynamics, and cell-intrinsic programs to determine whether the biological output is survival, fate specification, or axon regeneration. Nevertheless, translating these mechanistic insights into therapeutic strategies for SCI will require direct in vivo validation in injury-specific models, as the functional contribution of Piezo1 to endogenous spinal cord repair remains to be rigorously established.
The transient receptor potential (TRP) channel family represents another critical class of mechanosensitive ion channels. Distinct TRP members contribute to mechanotransduction through diverse mechanisms and cellular contexts. Notably, TRP vanilloid 1 (TRPV1) is functionally expressed in the growth cones of DRG neurons. Interestingly, unlike Piezo1, pharmacological inhibition of TRPV1 suppresses axon regeneration across a range of substrate stiffnesses, suggesting a stiffness-independent regulatory function in axon growth [37].
Integrins represent a primary mechanism for cells to sense both biochemical and mechanical properties of the ECM (Fig. 3). Following SCI, specific integrin subunits are differentially up-regulated, among which integrin β1 (ITGB1) is consistently highlighted as a central mediator. Upon mechanical activation, ITGB1 recruits downstream effectors including integrin-linked kinase and phospho-focal adhesion kinase, initiating prosurvival and prodifferentiation signaling cascades in NSCs [7]. The intensity of integrin-mediated signaling is further modulated by matrix stiffness, which regulates integrin clustering and adhesion strength. The functional outcome of ITGB1 signaling is further diversified by its α-subunit binding partners, which tailor cellular responses to specific matrix environments. In stem-cell-based therapies, up-regulation of ITGA2 and ITGA11 (paired with ITGB1) on lineage-specific matrices activates phosphatidylinositol 3-kinase (PI3K)–AKT and mitogen-activated protein kinase (MAPK)–extracellular-signal-regulated kinase (ERK) pathways, promoting NSC migration and neuronal differentiation [38].
In addition, fibronectin–ITGB1 engagement contributes to microglial inflammation after SCI [39], although this effect is primarily driven by ligand–receptor recognition rather than force-dependent mechanotransduction. This fibronectin–integrin interaction also mediates mechanobiology-related ECM remodeling; soluble fibronectin derived from plasma is assembled into an insoluble fibrillar matrix beginning at 7 d post-SCI, a process mediated by integrin α5β1 expressed on infiltrating macrophages/microglia and fibroblasts [40]. Therapeutic targeting of integrins has been accomplished through arginine–glycine–aspartic acid (RGD) peptide-functionalized biomaterials, decellularized ECM scaffolds, and stiffness-optimized substrates that direct integrin-mediated adhesion and differentiation [41].
Classical cadherins, particularly N-cadherin (CDH2), mediate cell–cell adhesion and mechanotransduction at adherens junctions (Fig. 3). In SCI, the collagen I–ITGB1–N-cadherin signaling axis is implicated in astrocyte activation and fibrotic scar formation [42]. On the other hand, biomimetic scaffolds that up-regulate CDH2 in NSCs can promote a proneuronal niche via the AKT/YAP pathway [43]. These effects are primarily driven by biochemical signaling rather than direct force sensing. By contrast, the core mechanotransductive function of cadherins resides in their intracellular link to the actin cytoskeleton. Tension-induced unfolding of α-catenin recruits vinculin, reinforcing the adhesion and stabilizing junctions [42]. This mechanism is potentially targetable to modulate barrier integrity or glial reactivity post-SCI.
The protein tyrosine phosphatase receptor σ (PTPσ) is a high-affinity receptor for inhibitory CSPGs. Its expression is up-regulated in the SCI penumbra, where it colocalizes with CSPGs [44]. PTPσ activation stabilizes growth cone adhesion, leading to dystrophic arrest and inhibition of axon regeneration by suppressing ERK1/2 phosphorylation [45]. Intracellular σ peptide, a competitive peptide mimetic of the PTPσ wedge domain with a TAT sequence for cell membrane penetration, blocks PTPσ function to promote axonal regeneration and improve functional recovery, highlighting its therapeutic potential [45]. Beyond pharmacological approaches, PTPσ might also be targeted via cell-derived exosomes that modulate Rho/rho-associated coiled-coil containing protein kinase (ROCK) signaling to alleviate CSPG inhibition and facilitate axonal growth.
Although not direct mechanosensors, transcriptional coactivators YAP and TAZ are central downstream effectors in mechanotransduction, translating mechanical cues into gene expression changes. Their nucleocytoplasmic shuttling is intensely regulated by mechanical cues from the ECM and cytoskeleton [36]. In SCI, softer substrates or dynamic hydrogels often promote YAP cytoplasmic retention or specific activation patterns associated with neurogenic differentiation [36,46]. Conversely, on stiff substrates mimicking fibrotic scars, nuclear YAP/TAZ activity may drive astrocyte activation and pathological ECM remodeling [47].
The small guanosine triphosphatase ras homolog family member A (RhoA) acts as a major signaling hub that integrates diverse upstream signals, eliciting cell-type-specific outcomes following SCI. In neurons, its activation promotes actin compaction via myosin II, restraining microtubule extension to inhibit axon regeneration [48]. RhoA knockdown promotes axonal growth and reduces glial scar formation, while microtubule-stabilizing drugs represent alternative strategies to bypass RhoA-mediated growth inhibition, albeit with potential inflammatory side effects [16]. In astrocytes, RhoA controls injury-induced astrogliosis and CSPG production through myosin II by activating YAP signaling, and its ablation is antiregenerative [48]. In microglia, RhoA is essential for SCI repair by promoting glycolysis via the Rho guanosine-triphosphatase-activating protein 25/hypoxia-inducible factor-1 pathway, thereby supporting microglial proliferation, phagocytosis, and migration [49].
The mechanosensitive pathways described above converge on a set of downstream effectors, creating functional intersections that allow signals from distinct receptors to be integrated or opposed before determining cellular outcomes [50,51]. YAP/TAZ represents the most prominent of these convergence points. Piezo1-mediated Ca2+ influx [6], N-cadherin engagement via CDH2 [43], and integrin clustering through RGD peptides [52] all modulate YAP nuclear localization, yet the biological consequence of YAP activation differs fundamentally between NSCs, where it promotes neuronal differentiation [6,43], and astrocytes, where it restricts reactive gliosis and CSPG production [48]. This indicates that the upstream receptor identity is less instructive for cell fate than the cell-type-specific transcriptional partners available to YAP upon nuclear entry, positioning YAP as a molecular integrator that translates diverse mechanical inputs into lineage-appropriate outputs.
The cytoskeleton serves as a second critical node where mechanosignaling pathways intersect. Both RhoA and Piezo1 regulate F-actin dynamics, although through distinct mechanisms and with divergent functional consequences. In neuronal growth cones, RhoA activates myosin II to compact F-actin and impede microtubule protrusion [48], while Piezo1 triggers a CaMKII–FAK cascade that slows F-actin retrograde flow [37], with the 2 pathways cooperatively gating axon extension in response to inhibitory substrates. In astrocytes, RhoA-driven actomyosin contraction and Piezo1-driven Wnt7b–Ca2+ signaling both modulate cytoskeletal architecture and cellular stiffness [48,53], yet their relative contributions to glial scar mechanics and whether they operate synergistically or redundantly remains unknown.
CSPG signaling illustrates a third mode of pathway integration through reciprocal regulation. The PTPσ receptor transduces CSPG signals to suppress Erk1/2 phosphorylation and stabilize growth cone arrest in neurons [45], while concurrently mediating CSPG endocytosis and clearance in neural progenitor cell (NPC)-derived astrocytes [44]. These opposing functions create a potential feedback circuit wherein the astrocytic clearance of CSPGs via PTPσ reduces the ligand available to activate neuronal PTPσ, thereby linking the ECM remodeling activity of glial cells to the growth competence of axons. Furthermore, CSPGs signal through the RhoA/ROCK axis independently of PTPσ, indicating that the inhibitory activity of CSPG-rich scars is distributed across multiple receptors and cannot be fully overcome by targeting a single CSPG receptor [48].
The pathological progression following SCI is fundamentally orchestrated by a mechanically driven cellular network. The initial physical disruption and subsequent dynamic remodeling of the ECM create a continuously evolving mechanical landscape. Distinct cell types, through their specific mechanosensing and response apparatus, critically dictate the balance between neural regeneration and scar formation (Fig. 4). A comprehensive overview of mechanosensitive receptors, downstream pathways, and cellular outcomes for each major cell type is provided in Table 2.
The recruitment and differentiation of endogenous NSCs/NPCs constitute a pivotal regenerative response that is precisely regulated by the mechanical properties of their niche. Substrate stiffness serves as a primary determinant of NSC fate, yet the reported direction of its influence varies with experimental context. In some studies using composite scaffolds rich in native ECM components, soft matrices promote neuronal differentiation [52]. Conversely, using inert polyacrylamide gels, Pathak and colleagues [6] found that stiff substrates favor neurogenesis via Piezo1–YAP signaling, while soft substrates suppress astrogenesis. Adding further complexity, dynamically softening alginate hydrogels in the presence of serum can instead enhance astrocytic differentiation through Piezo1-mediated Ca2+ influx and YAP activation [35]. Collectively, these findings indicate that NSC fate is governed by an interplay of absolute stiffness, matrix composition, viscoelasticity, and biochemical context, rather than by stiffness alone.
Beyond stiffness, the structural topography of the ECM, including aligned fiber architectures, provides essential contact guidance to direct NSC migration and process outgrowth [54]. Furthermore, when presented within a permissive physical framework such as a decellularized spinal cord (DSC) matrix, specific biochemical components of the ECM can potently activate proneurogenic integrin signaling pathways, including ITGA2/11–ERK/AKT, thereby further enhancing neuronal commitment [38]. Therefore, a mechanically permissive niche, characterized by optimal compliance, instructive topography, and supportive adhesive cues, is indispensable for effectively harnessing the intrinsic regenerative capacity of endogenous stem cells.
Neuronal regeneration is not a passive occurrence but an active process in which growth cones interpret the local mechanochemical microenvironment. Primarily, physical topographical cues provide a foundational roadmap for growth. Axons exhibit robust contact guidance, preferentially elongating and aligning along oriented nanofibers within engineered scaffolds such as aligned methacrylated gelatin (GelMA) or polycaprolactone fibers [54–56]. This directed growth constitutes a direct biomechanical response to anisotropic structural features. Concurrently, substrate stiffness acts as a critical regulator of cell fate. Soft matrices (approximately 0.1 to 1 kPa), which mimic the compliance of healthy CNS tissue, are generally permissive for neurite extension under standard culture conditions [52]. In contrast, stiffer environments, often resembling fibrotic scars, are inhibitory in the absence of countervailing topographical or biochemical cues. This sensitivity to stiffness is mediated by mechanotransduction pathways involving integrins, Piezo channels, and downstream effectors such as Rho/ROCK [57].
Furthermore, this mechanical framework is overlaid with biochemical instruction. Inhibitory molecules such as CSPGs within stiff scars potently activate Rho/ROCK signaling, leading to growth cone collapse [57]. Conversely, supportive ECM components or neurotrophic factors delivered via compliant hydrogels synergize with permissive mechanical cues to enhance neuronal survival, axonal growth, and synaptic integration [58]. Thus, neuronal regeneration represents an integrated outcome shaped by topographical guidance, matrix compliance, and embedded biochemical signals.
Astrocytes exhibit exquisite sensitivity to mechanical strain, which is directly transduced through Piezo1 to initiate reactive programs [53]. Their subsequent behavior is profoundly regulated by ECM stiffness. Stiffer substrates drive astrocytes toward a reactive, scar-forming phenotype characterized by cytoskeletal reorganization and sustained activation, accompanied by elevated vimentin and vinculin expression [59]. Critically, this establishes a self-reinforcing feedback loop: Astrocyte activation promotes local ECM stiffening, which, in turn, further exacerbates astrogliosis. Indeed, following SCI, local mature astrocytes undergo permanent transcriptional reprogramming, characterized by persistent down-regulation of homeostatic functions and sustained up-regulation of ECM organization and inflammatory response genes, which collectively establish a chronically reactive state that perpetuates the fibrotic environment [60]. Interventions using soft biomaterials or Rho/ROCK inhibitors can disrupt the loop, thereby reducing astrocyte reactivity and CSPG deposition [61]. Alternatively, activation of Toll-like receptor 2 (TLR2) on astrocytes has been shown to reduce CSPG deposition and promote functional recovery after SCI [14]. Moreover, astrocyte heterogeneity dictates distinct patterns of ECM production, with ependymal-derived subsets failing to synthesize CSPGs and instead creating a permissive bridge for axonal sprouting, in contrast to the barrier-forming phenotype of locally derived mature astrocytes [62,63].
Myelin regeneration is similarly mechanosensitive. Oligodendrocyte precursor cells (OPCs) require a soft yet mechanically supportive microenvironment for efficient differentiation into myelinating oligodendrocytes. Using hydrogel-based micropillar arrays that mimic axonal stiffness, it has been demonstrated that while excessively soft substrates (0.5 kPa) impair myelin formation, substrates with stiffness approximating native axons (5 kPa) promote robust myelin wrapping [64]. Pathological tissue stiffening following SCI may therefore disrupt the mechanical niche required for OPC differentiation and remyelination. Moreover, inhibitory CSPGs deposited after SCI, such as versican-V1, directly impair OPC process extension and their maturation into myelinating oligodendrocytes [65], compounding the detrimental effects of an altered mechanical microenvironment on myelin repair. Furthermore, mechanical stretch injury has been shown to directly impair oligodendrocyte function by triggering intracellular Ca2+ release and subsequent Erk1/2 activation, leading to transient myelin protein loss without cell death [66]. This mechanotransduction mechanism may contribute to white matter pathology following traumatic CNS injury.
Immune cells act as dynamic sensors and remodelers at the injury site, with their phenotype and function being highly responsive to mechanical cues. Their initial infiltration is facilitated by the loss of vascular mechanical integrity, which increases permeability [10]. Biomaterial scaffolds with defined stiffness, porosity, and biochemical signals can actively direct proinflammatory macrophages toward anti-inflammatory phenotypes through pathways such as cyclic guanosine monophosphate–adenosine monophosphate synthase (cGAS)–stimulator of interferon genes (STING) and integrin-mediated signaling, as well as through regulation by S100A4 released from NPCs [52]. Beyond this classical polarization, functionalized biomaterial scaffolds have been shown to promote the transition of microglia/macrophages toward broader reparative transcriptional states via PI3K–Akt–mammalian target of rapamycin (mTOR) pathway activation, characterized by insulin-like growth factor 1 (IGF1) up-regulation and enhanced antioxidant stress responses, thereby remodeling the post-SCI immune microenvironment [67]. This functional diversity extends beyond polarization states to their roles in fibrosis and wound healing. C–X3–C motif chemokine receptor 1 (Cx3Cr1)-low expression (Cx3Cr1lo) macrophages populating the fibrotic core, while Cx3Cr1-high expression (Cx3Cr1hi) macrophages reside in the glial scar region, whereas foamy macrophages contribute to proinflammatory pathology and can be therapeutically targeted via CD36 inhibition (Fig. 5) [68].
Compared with macrophages, microglia exhibit even greater heterogeneity after SCI. Single-cell transcriptomic studies have instead revealed at least 8 distinct microglial subpopulations that undergo dynamic temporal transitions after injury, including a second wave of activation at day 14 that coincides with secondary neuronal loss [9]. Beyond this compositional heterogeneity, recent studies have also uncovered key metabolic and mechanical programs that underpin microglial function. Specifically, microglial RhoA signaling promotes glycolysis via the Arhgap25/HIF-1α pathway, which is essential for supporting phagocytosis and migration [49]. Meanwhile, Fascin-1 limits myosin activity to facilitate microglial migration and control ECM remodeling, thereby regulating tissue stiffness after SCI [69,70]. What’s more, activated microglia promote astrocyte proliferation and scar formation through the release of IGF1, a process that helps establish the structural border confining inflammation [27]. However, their depletion disrupts the recruitment and proper spatial containment of monocyte-derived macrophages and prevents the up-regulation of key-repair-associated genes in multiple cell types, effects that can be partially rescued by restoring microglia-dependent C–C motif chemokine ligand 2 and TLR2 signaling [71]. Notably, neonatal microglia promote scar-free healing by transiently secreting fibronectin to form ECM bridges and expressing proteinase inhibitors that rapidly resolve inflammation, properties absent in adult microglia [72].
A defining mechanoresponse in neural repair is the activation and differentiation of platelet-derived growth factor receptor β-positive stromal cells, including pericytes and fibroblasts. Following injury, these cells detach from the vasculature, migrate into the lesion core, and deposit a dense, aligned network of fibrillar ECM components such as collagen I and fibronectin [20]. This deposition process serves as a primary driver of pathological tissue stiffening. The resulting fibrotic scar constitutes a substantial physical barrier to axonal regrowth and tissue repair [73]. Importantly, the progression of fibrosis is modulated by mechanical cues from the surrounding healing milieu; for example, the stiffness of an implanted biomaterial can direct fibroblast alignment and subsequent ECM organization [74]. Beyond external mechanical cues, the mechanical behavior of these scar-forming fibroblasts is critically regulated by their cytoskeletal dynamics. Polarized microtubule networks, marked by leading-edge enrichment of detyrosinated tubulin, enable fibroblast directional migration and aligned ECM deposition, which generates long-range biomechanical constraints on regenerating axons [75]. Microtubule stabilization with low-dose taxol disrupts TGF-β signaling by preventing Smad2/3 nuclear translocation, thereby reducing fibroblast migration, fibronectin deposition, and CSPG accumulation at the lesion site, further alleviating these biomechanical constraints [76]. In chronic phases, elevated tissue stiffness further stimulates fibroblast activation, establishing a self-reinforcing cycle that perpetuates fibrotic scarring.
Endothelial cell responses after injury proceed through 2 distinct phases. Initially, their junctional integrity is compromised as mechanical stability is lost, resulting in vascular barrier breakdown [10]. In the subsequent reparative phase, angiogenic sprouting depends strongly on the 3D physical support and mechanical compliance provided by implanted hydrogels [77]. Furthermore, tissue-specific endothelial cells, including those from spinal cord microvasculature, exhibit optimal growth and tube formation within a specific stiffness range that resembles their native microenvironment. This mechanosensitive process is partly regulated by the PI3K–AKT signaling pathway [78]. Effective angiogenesis, supported by appropriate mechanical scaffolding and necessary growth factors, is essential to restore nutrient and waste exchange and to establish the metabolic foundation required for neural regeneration.
The diverse cell types recruited to the SCI lesion do not act autonomously but engage in reciprocal signaling that collectively determines whether the injury environment supports or impedes repair. A key mode of intercellular communication involves the paracrine regulation of ECM composition by one cell type to control the behavior of another. Reactive astrocytes secrete fibronectin that acts on microglial ITGB1 to maintain M1 polarization and chronic inflammation within the glial scar [39], establishing an astrocyte-to-microglia instructive axis that perpetuates neuroinflammation. Conversely, NPCs release S100A4 upon neurogenic differentiation, which polarizes macrophages and microglia toward an M2 anti-inflammatory phenotype [52]. This reciprocal capacity of different glial and progenitor populations to either exacerbate or resolve inflammation through ECM protein and cytokine secretion highlights that the net inflammatory state of the lesion is the product of competing paracrine signals originating from multiple cellular sources.
A second mode of communication involves mechanical coupling between cell types through the ECM. Type A pericytes detach from the vasculature after injury and differentiate into scar-forming fibroblasts that deposit fibronectin and collagen I [20], directly increasing tissue stiffness. This stiffening, in turn, feeds back on resident astrocytes to promote YAP nuclear localization and reactive gliosis [47], creating a pericyte–fibroblast–astrocyte mechanical feedback loop that drives scar maturation. Microglia independently modulate tissue mechanics through Fascin-1-dependent regulation of myosin activity and cell migration, promoting the tissue softening that characterizes the acute to subacute injury phase [69]. The net mechanical properties of the lesion are thus not passively determined by ECM deposition alone but actively negotiated through the counterbalancing activities of softening and stiffening processes.
The organization of scar tissue into discrete compartments is governed by heterotypic cell–cell contacts. At the interface between the fibrotic core and the surrounding glial scar, pericyte-derived fibroblasts and reactive astrocytes establish aligned cell–cell contacts that define a sharp lesion border [20,74]. When pericyte-derived fibroblasts fail to detach from the vasculature, as observed in striatal ischemic lesions, this organized border does not form, and the fibrotic and glial compartments remain intermingled [20]. This observation implies that the physical segregation of the fibrotic and glial scars depends on contact-dependent communication between these 2 cell populations. Moreover, within the fibrotic compartment, fibroblasts can be directed by appropriate mechanical cues to adopt a polarized, aligned migration pattern and remodel disorganized ECM into a parallel-oriented matrix that directly supports axon extension and synapse formation [74], transforming the scar from a passive barrier into an instructive substrate through mechanical reprogramming of a specific fibroblast subset.
Emerging interventions are shifting from passive structural decompression to active biomechanical modulation aimed at remodeling the pathological mechanical microenvironment and harnessing mechanotransduction for neural repair (Fig. 6). Key clinical trials investigating these mechanical strategies are summarized in Table 3 and Table S1.
Early surgical decompression, particularly procedures such as durotomy or pialotomy involving a full-thickness incision of the meninges performed within 24 h after injury, functions as a foundational mechanical intervention. A pooled analysis of individual patient data from 4 prospective cohorts demonstrated that surgical decompression within 24 h of acute SCI significantly improves 1-year neurological recovery, with the first 24 to 36 h representing the critical therapeutic window for optimal outcomes [79]. However, a multicenter randomized controlled trial (RCT) (NCT01485458) found that while ultraearly decompression (within 24 h) did not improve 1-year motor scores compared to delayed surgery, it significantly accelerated recovery in the first 6 months [80], possibly due to the modest cohort size and the enrollment restricted to patients with cervical stenosis without fracture or dislocation.
Surgical decompression reduces intramedullary pressure (IMP), which, in turn, restores spinal cord perfusion pressure by relieving the compressive occlusion of the microvasculature, thereby restoring blood flow to the ischemic penumbra. This mechanical relief limited progressive edema formation and cystic cavitation, suppressed secondary inflammatory infiltration and fibrotic deposition, and accelerated the recovery of the native elastic stiffness of the injured spinal cord tissue [81]. These mechanobiological improvements, particularly the reduction in IMP and the restoration of tissue elastic stiffness, are transduced into prosurvival cellular signals. Specifically, this reduction restores impaired autophagic flux, as evidenced by an increased red/yellow dot ratio of mRFP–GFP–LC3 and decreased sequestosome 1/p62 accumulation [82]. Consequently, autophagic degradation is promoted, the B cell lymphoma-2 (Bcl-2)/Bcl-2-associated X protein ratio is up-regulated to inhibit apoptosis, myelin basic protein (MBP) expression and white matter integrity are preserved, and neuronal-nuclei-positive neuronal survival is increased [82]. Thus, surgical decompression represents an optimization of an already guideline-endorsed standard, with ongoing debate centered on the incremental value of ultraearly intervention within a 24-h window rather than on the principle of decompression itself.
As a noninvasive biomechanical intervention, extracorporeal shock wave therapy (ESWT) delivers controlled mechanical waves to the injured tissue. These waves exert direct mechanical forces that activate mechanosensitive ion channels such as Piezo, alongside generating cavitation effects that produce microstreaming and shear stresses at the cellular level [83]. These mechanical cues are rapidly converted into intracellular biochemical signals through the engagement of downstream pathways including ERK, AKT, and PI3K/AKT [83]. Building upon this mechanotransductive foundation, low-energy ESWT promotes brain-derived neurotrophic factor (BDNF) expression in neurons, astrocytes, and oligodendrocytes via the PERK/ATF4 signaling pathway, thereby reducing demyelination, oligodendrocyte loss, and axonal damage, while improving locomotor and sensory recovery after SCI [84]. Clinically, an ongoing phase 2/3 randomized sham-controlled trial (NCT04474106) is evaluating a single session of focused ESWT delivered within 48 h of acute SCI, with change in total motor and sensory score at 6 months as the primary end point [85]. ESWT is thus positioned as a potential adjunct to standard surgical decompression and rehabilitation, with its clinical role contingent upon the results of ongoing sham-controlled trials.
At the cellular level, innovative strategies harness magnetic forces to remotely control cell behavior and guide neural regeneration. Superparamagnetic iron oxide nanoparticles grafted onto aligned electrospun fibers act as magnetic actuators, converting alternating magnetic field energy into cyclic mechanical forces that activate mechanosensitive ion channels and promote cytoskeletal remodeling, thereby enhancing neurite outgrowth [86]. In a related approach, under static magnetic field guidance, NSCs internalizing meso-2,3-dimercaptosuccinic acid-coated Fe3O4 nanoparticles differentiate preferentially into functional neurons via activation of the PI3K/AKT/mTOR pathway [87]. Thus, magnetic actuation promotes neuroregeneration through either extracellular mechanical stimulation or intracellular signaling pathway activation.
Building upon these principles, subsequent strategies have integrated magnetic guidance with additional therapeutic features. An Fe3O4 nanoparticle-loaded hydrogel under external magnetic stimulation reduces CSPG deposition and modulates the inflammatory microenvironment to promote neurite outgrowth [88]. Taking this concept further, an anisotropic Fe3S4 ferrofluid hydrogel orients its internal particles under a magnetic field to form aligned microstructures, directing axonal regeneration while simultaneously releasing hydrogen sulfide to exert anti-inflammatory effects via the nuclear factor κB (NF-κB) pathway [89]. Collectively, these studies illustrate a progression from isolated magnetic actuation to multifunctional platforms that combine topographical guidance, biochemical signaling, and immunomodulation for enhanced spinal cord repair. Notably, magnetic guidance strategies remain at the preclinical proof-of-concept stage and have not yet entered human trials; their eventual clinical role will likely be as a component of combinatorial biomaterial or cell-based platforms rather than as standalone therapies.
Following SCI, the local mechanical milieu undergoes profound disruption characterized by tissue softening, cavitation, and the formation of mechanically disorganized inhibitory scars. Biomaterials and tissue engineering strategies are designed to counteract these pathological changes by actively constructing or modulating the physical microenvironment to support regeneration (Table 4).
The relationship between matrix stiffness and neural cell behavior depends critically on the stiffness range and biological context. Inert polyacrylamide gels and dynamically softening alginate hydrogels have established that NSC fate is governed by an interplay of absolute stiffness, matrix composition, and viscoelasticity rather than by stiffness alone, with the Piezo1 Ca2+ channel serving as a key mechanosensor whose functional output shifts depending on the mechanical context [6,35].
Alginate anisotropic capillary hydrogels with 4 stiffness grades (~1 to 9 kPa, tuned by polymer and crosslinker concentration) and uniform capillary architecture (~120 μm in diameter) were compared in a rat cervical hemisection model [47]. All scaffolds shared an identical poly-l-ornithine/laminin coating, isolating stiffness as the sole variable. The softest formulation (~1 kPa) minimized foreign body reaction and maximized cell infiltration and axonal regrowth, while a moderately soft formulation (~1.5 to 3 kPa) emerged as optimal by retaining linear guidance without exaggerated inflammation. Notably, the stiffest scaffolds induced measurable softening of adjacent host spinal cord tissue [47]. Hyaluronic acid (HyA) macroporous scaffolds with stiffness tuned by polymer concentration (0.90 to 3.65 kPa) were functionalized with collagen IV and fibronectin via carbodiimide cross-linking, combining mechanical matching with synergistic integrin-mediated signaling [90]. The softest formulation (<1 kPa; matching spinal cord at 0.5 to 1.2 kPa) simultaneously promoted robust DRG neurite outgrowth and a neurotrophic astrocyte phenotype. Both systems converged on ~1 kPa as optimal for minimizing inflammation, yet each revealed that very soft scaffolds risk structural instability, underscoring the need to cooptimize stiffness with architectural design [47,90].
Expanding the functional scope of mechanical matching beyond immune and neuronal modulation, an HyA–dopamine conjugate (HADA) hydrogel with stiffness graded by catechol cross-linking density (~50, ~100, and ~400 Pa) was combined with a self-assembling HGF–(RADA)4–DGDRGDS peptide [74]. The formulation matching spinal cord (~100 Pa) selectively enriched fibroblasts that transformed disorganized fibrotic scar into ordered, proregenerative ECM. Dual-network porous collagen fibers (PCFS) fabricated by enzyme-catalyzed Schiff base cross-linking and wet spinning exhibited a Young's modulus of ~2.42 kPa and independently corroborated that matching native spinal cord mechanics promotes neuronal differentiation [43]. Together, these studies demonstrate that optimal stiffness for neural regeneration is context dependent (Table 5).
Mechanically matched materials have converged on an optimal stiffness window, yet persistent challenges remain. Very soft formulations that best approximate spinal cord mechanics often suffer from structural instability in vivo and nonlinear axonal regrowth within the scaffold, limiting their capacity to provide sustained guidance during the chronic phase of regeneration [47]. Furthermore, stiffness matching alone does not guarantee functional integration, as the dynamic mechanical environment of the injury site evolves over time, whereas most current materials present static mechanical properties.
Beyond isotropic stiffness, imparting anisotropic topography provides essential contact guidance that mimics the longitudinal organization of spinal tracts. Aligned DSC matrix electrospun fibers (A-DSCFs) exemplify the synergy of structural and compositional biomimicry, as the aligned nanofiber architecture combined with 83 retained ECM proteins outperformed aligned collagen fibers in promoting OPC differentiation, myelination, and axonal extension. Functional dissection identified laminin and agrin as specific drivers of myelination, while collagen IV, agrin, and laminin synergistically enhanced axon growth and reduced cystic cavity formation partly through M2 macrophage polarization [25].
The integration of topography with cell adhesion signals has been further refined using aligned fibrin nanofiber hydrogel modified with N-cadherin–Fc (AFGNs) [91]. The oriented immobilization of N-cadherin–Fc via protein A affinity capture preserves full bioactivity of the extracellular domain. When combined with NSC transplantation in a complete transection model, AFGN promoted long-term cell retention, mature neuronal differentiation, robust myelination, synapse formation, and motor function recovery [91]. Similarly, aligned collagen fibers with porous surface protrusions promote neuronal differentiation of NSCs via CDH2–AKT/YAP signaling, demonstrating that specific adhesion receptors couple topographical cues to mechanotransduction pathways [43].
Architectural control can also be achieved through advanced manufacturing. A coaxial 3D printed scaffold with a gelatin/cellulose nanofiber shell and a HyA dual-network hydrogel core exemplifies phase-separated functionality [42]. The shell rapidly degrades at 37 °C to release the reactive oxygen species (ROS) scavenger metalloporphyrin Mn(III) tetrakis(4-benzoic acid) porphyrin, shielding endogenous NSCs from acute oxidative stress, while the core remains stable for over 60 d, providing sustained N-cadherin-mediated guidance for NSC migration and neuronal differentiation [42]. The parallel linear architecture of the printed construct further contributes to directional axonal regrowth.
A principal limitation of topography-guided materials is the reliance on anisotropic architectures that, while effective for linear axon guidance, do not recapitulate the complex multidirectional circuitry of the native spinal cord. In addition, the long-term stability of aligned structures in the inflammatory lesion microenvironment remains uncertain, as enzymatic degradation may progressively erase topographical cues. Scalable manufacturing of precisely aligned constructs with clinically relevant dimensions also presents an unresolved engineering challenge.
Viscoelasticity, the time-dependent mechanical behavior inherent to native CNS tissue, has emerged as a distinct biophysical parameter that can be engineered independently of stiffness. A static–dynamic dual-network HyA–collagen hydrogel system allowed tuning of stress relaxation rate (τ1/2 from ~60 to ~1,200 s) while maintaining constant elastic modulus [92]. Faster relaxation promoted superior neurite extension, neurogenesis, and synapse formation through a mechanism in which matrix stress dissipation reduces myosin-driven retrograde actin flow, prolongs integrin clutch engagement, and decreases Piezo1 expression, ultimately retaining YAP in the cytoplasm [92].
The independent regulation of viscoelasticity and topographical cues was achieved using an aldehyde–methacrylate–hyaluronan/collagen composite hydrogel system [93]. Through a combination of dynamic imine cross-linking and microfluidic coaxial spinning, this system demonstrated that viscoelasticity and nanotopography can be orthogonally tuned to synergistically promote neurite extension and neuronal differentiation [93]. Extending this principle to 3D bioprinted constructs, a GelMA/oxidized HyA (OHA) dynamic covalent network functionalized with N-cadherin (HAVDI) and BDNF (RGI) mimetic peptides synergistically enhanced YAP-mediated mechanotransduction in NSCs through the combination of rapid stress relaxation and specific cell–cell interaction cues, accelerating the self-organization of NSCs into functional neural networks [46].
Dynamic network chemistry can simultaneously govern viscoelasticity and enable injectability with self-healing [94]. Hydrogels cross-linked by reversible Zn2+–bisphosphonate coordination bonds undergo network rupture under shear and reformation under static conditions, enabling conformal lesion filling [95]. Similarly, 3,4-dihydroxyphenylalanine (DOPA)-grafted chitosan/designer peptide dual-network hydrogels combine shear-thinning injectability and rapid self-healing through π–π stacking with tissue adhesion and sustained neurotrophin-3 (NT-3) release [96]. A fluorenylmethyloxycarbonyl (Fmoc)-functionalized chitosan/peptide hybrid hydrogel exploits analogous π–π stacking interactions to achieve self-healing while sustaining curcumin release over 7 d with tunable kinetics [97].
Although viscoelastic materials have demonstrated substantial promise, the independent tuning of stress relaxation from stiffness and other biophysical parameters remains technically demanding. Moreover, the long-term safety of chemically dynamic networks, particularly those using synthetic cross-linkers or metal ions, requires thorough evaluation given the sensitivity of regenerating neural tissue. Translation is further complicated by the complex rheological characterization required for quality control in a clinical manufacturing setting.
The native spinal cord functions as an electromechanical system in which electrical signals are integral to neuronal communication and regeneration. Introducing electrical conductivity or piezoelectricity into scaffolds simulates this electroactive microenvironment.
Conductive composite fibers incorporating carbon nanotubes (CNTs) into GelMA exhibit aligned topography and conductivity that promote neuronal differentiation of NSCs. When combined with electrical stimulation, these fibers markedly enhance axonal regeneration, myelination, and functional recovery, restoring tissue conductivity to approximately 1.50 × 10−3 S/cm, approaching that of normal neural tissue (~2.13 × 10−3 S/cm) [98]. The therapeutic benefit of conductive scaffolds can be further amplified by integrating multiple functionalities. A polycitrate-based nanocomposite hydrogel incorporating polydopamine-coated multiwalled CNTs (PMEACs) simultaneously provides conductivity (0.15 S/m; within the spinal cord range of 0.02 to 0.60 S/m), tissue-matching mechanics (G′ ~ 291 Pa), injectability, self-healing, tissue adhesion, and broad-spectrum antibacterial activity, promoting axonal regeneration, myelination, and motor recovery in a rat complete transection model [99].
Nanocomposite strategies can also achieve functional integration through simpler formulations. MoS2/graphene oxide (GO)/polyvinyl alcohol (PVA) hydrogels prepared by freeze-thaw physical cross-linking leverage the semiconductor properties of MoS2 and the conductivity of GO to achieve 0.220 S/m while simultaneously providing peroxidase-like catalytic activity for ROS scavenging [100]. The incorporation of nanosheets unexpectedly reduced the compressive modulus to 220 Pa, closer to the optimal range for neural differentiation, and promoted neuronal differentiation, suppressed astrocytic differentiation, and facilitated M2 macrophage polarization [100].
Moving beyond passive conductivity, piezoelectric materials coupled with ultrasound provide a self-powered, wireless stimulation strategy. Potassium sodium niobate (KNN) piezoelectric nanoparticles embedded in a DSC matrix/GelMA hydrogel generate electrical potentials of approximately 200 to 1,000 mV under ultrasound stimulation at 0.4 W/cm2 [101]. This wireless electrical stimulation drives Ca2+ influx through voltage-gated calcium channels, activating a CaMKIIb–peroxisome-proliferator-activated receptor γ coactivator 1α (PGC-1α) signaling axis that enhances mitochondrial bioenergetics and adenosine triphosphate synthesis, ultimately promoting NSC neuronal differentiation, endogenous NSC recruitment, and angiogenesis [101].
Despite these advances, bioelectrical materials face distinct translational hurdles. Conductive nanomaterials such as CNTs raise unresolved concerns regarding long-term biodistribution, clearance, and potential cytotoxicity [98,99]. Piezoelectric strategies that rely on external ultrasound stimulation introduce dependency on patient compliance and equipment availability, complicating standardization [101]. Furthermore, the long-term electrochemical stability of these materials in the corrosive and dynamic in vivo environment remains incompletely characterized.
The immunomodulatory capacity of biomaterials can be programmed through the presentation of specific ECM components. Comparative analysis of primary astrocyte-derived ECM from protoplasmic versus fibrous phenotypes revealed that protoplasmic astrocyte ECM incorporated into HyA hydrogels significantly reduced macrophage and microglial infiltration, decreased CSPG deposition, and promoted axonal growth in a rat dorsal hemisection model, whereas fibrous astrocyte ECM partially reversed the beneficial effects of HyA alone [102].
At the transcriptional and proteomic level, biodegradable polyurethane-DSC ECM composite scaffolds (BWPU-dECM) with an optimized 50:50 ratio were shown to down-regulate 173 proinflammatory genes and up-regulate 19 anti-inflammatory genes while activating the neuroprotective PI3K–AKT pathway at both transcriptional and protein levels, promoting oligodendrocyte differentiation, axonal regeneration, and myelination [103].
The convergence of dynamic network chemistry with ion-mediated signaling offers an additional immunomodulatory strategy. Alginate hydrogels cross-linked by Zn2+–bisphosphonate coordination bonds achieve shear-thinning injection, rapid self-healing, and sustained Zn2+ release over 14 d [95]. The released Zn2+ up-regulates the zinc finger protein A20, a negative regulator of NF-κB, suppressing proinflammatory cytokine expression and promoting M2 macrophage polarization, ultimately facilitating axonal regeneration, myelination, and synapse formation [95].
Despite these promising immunomodulatory strategies, several challenges remain. The use of xenogeneic ECM components raises unresolved questions regarding longer-term immunogenicity and systemic safety [102]. Zn2+-mediated immunomodulation, while elegant, requires precise control over release kinetics, as excessive zinc concentrations may be neurotoxic. Furthermore, the long-term stability of immunomodulatory signals in the chronically inflamed lesion microenvironment has not been fully established, and the potential risks associated with pathogen or endotoxin contamination in ECM derived from stem cell sources remain largely unaddressed.
Cell delivery strategies require careful matching of material mechanical properties to the specific therapeutic cell population. The SHIELD hydrogel system, a shear-thinning injectable hydrogel composed of a C7 recombinant protein containing multiple adhesive ligands and a polyethylene glycol (PEG)–P1 (proline-rich peptide)–poly(N-isopropylacrylamide) (PNIPAM) copolymer, exemplifies this principle [41]. The softest formulation (G′ ~ 10 Pa) functionalized with RGDs was optimal for the survival, neurite extension, and consistent engraftment of human induced pluripotent stem cell (iPSC)-derived deep cortical neurons in a rat cervical contusion model, whereas slightly stiffer formulations (G′ ~ 160 Pa) were preferred by Schwann cells, highlighting the necessity of tailoring the mechanical microenvironment to the therapeutic cargo [41].
Supporting this concept, a soft injectable salmon fibrin–HyA–laminin hydrogel (G′ ~ 200 to 250 Pa) supported human NSC survival and proliferation, while coculture with endothelial colony-forming cells revealed active recruitment and vascular network formation via paracrine secretion of vascular endothelial growth factor (VEGF), platelet-derived growth factor, and TGF-β [104]. The combination of cell delivery with topographical and biochemical cues can further enhance outcomes. N-cadherin-functionalized AFGNs promoted long-term retention and neuronal differentiation of transplanted NSCs in a complete transection model [91].
A central limitation of cell delivery materials is the temporal mismatch between the mechanical requirements of different phases of therapy. The optimal stiffness for acute cell survival and engraftment may differ substantially from the mechanical environment needed to guide long-term differentiation and functional integration. In addition, the survival rate of transplanted cells in the hostile injury microenvironment remains low across all current systems, and the scalability of autologous or iPSC-derived cell sourcing under Good Manufacturing Practice conditions presents a formidable translational barrier.
Spatiotemporal control over therapeutic delivery can be encoded into scaffold architecture. The coaxial 3D printed scaffold with a gelatin/cellulose nanofiber shell encapsulating MnTBAP and an HyA dual-network hydrogel core demonstrates phase-separated temporal functionality [42]. The shell rapidly degrades within minutes at 37 °C to release MnTBAP, shielding endogenous NSCs from acute oxidative stress, while the core remains stable for over 60 d, providing sustained topographical and N-cadherin-mediated signals [42].
Dynamic network chemistries enable injectable systems that respond to the mechanical demands of the injury site while providing controlled therapeutic release. DOPA-grafted chitosan/designer peptide dual-network hydrogels combine shear-thinning injectability and rapid self-healing with tissue adhesion and sustained NT-3 release, enabling seamless host–graft integration while providing neurotrophic stimulation [96]. Fmoc-functionalized chitosan/peptide hybrid hydrogels exploit π–π stacking for self-healing while sustaining curcumin release over 7 d with release kinetics tunable via network cross-linking density, promoting M2 macrophage polarization and endogenous Schwann-cell-mediated remyelination [97].
Growth factor delivery can also be electrostatically programmed. Heparin–methacrylate incorporated into a 3D printed GelMA hydrogel shell enables sustained electrostatic adsorption and release of basic fibroblast growth factor (bFGF) over 30 d, complementing the topographical and biochemical cues provided by the encapsulated DSC matrix [38]. Similarly, piezoelectric KNN nanoparticles embedded in DSC matrix/GelMA hydrogels respond to external ultrasound stimulation to generate wireless electrical signals, representing a stimuli-responsive strategy in which the therapeutic cue is delivered on-demand rather than through passive release [101].
Although smart responsive systems offer elegant spatiotemporal control over therapeutic delivery, several translational hurdles persist. The multicomponent architecture of many responsive scaffolds increases manufacturing complexity and cost, posing challenges for large-scale production under Good Manufacturing Practice conditions. Externally triggered systems, such as ultrasound-responsive piezoelectric materials, introduce dependency on patient compliance and specialized equipment, limiting applicability in resource-constrained settings. Moreover, the release duration achieved in preclinical models often falls short of the prolonged chronic phase of human SCI recovery, raising questions about whether repeated dosing or implant replacement would be required.
The development of effective mechanotherapeutic strategies for SCI is critically limited by fundamental gaps in the mechanistic understanding of how cells perceive and respond to the dynamic mechanical cues within the injury niche. A primary challenge is the deconvolution of intricate intracellular signaling networks activated by specific mechanical inputs [105]. While pathways such as YAP/TAZ, integrin–FAK, and RhoA/ROCK are frequently implicated, their precise activation thresholds, temporal dynamics, and cell-type-specific downstream effectors remain poorly defined [43]. In particular, which transcriptional cofactors engage YAP under distinct mechanical conditions and whether this binding preference is dictated by stiffness, matrix dynamics, or cell type remains to be experimentally determined. This complexity is compounded by extensive cross-talk between these mechanical cascades and canonical biochemical pathways such as Wnt/β-catenin or inflammatory NF-κB signaling, creating a regulatory network whose logic in dictating cell fate requires systematic elucidation [48,50,61].
Beyond presequenced degradation and release profiles, a major translational hurdle stems from the difficulty of faithfully modeling the multidimensional and dynamic nature of the in vivo mechanical microenvironment. The post-SCI milieu is characterized by a spatially and temporally evolving confluence of stiffness, viscoelasticity, and topographical cues [90]. Current models often examine parameters in isolation, failing to capture critical synergistic interactions [106]. For instance, whether the peptide coating and topographical alignment produce additive or synergistic effects on neuronal differentiation, and how these interactions depend on substrate stiffness, has not been systematically evaluated [56]. Separately, the temporal evolution of these mechanical cues is rarely recapitulated in vitro. How the mechanical properties of implanted scaffolds should evolve over time to match the changing demands of the injury microenvironment has not been systematically investigated. Future research must therefore leverage advanced biofabrication to develop dynamically responsive biomimetic platforms, such as stimuli-responsive or temporally stiffening hydrogels, capable of simulating the injury environment’s progression from acute edema to chronic scarring [36,38,46]. These tools are essential for identifying therapeutic windows where mechanical intervention could be most beneficial.
Furthermore, the fidelity of preclinical models themselves limits mechanistic discovery. Many findings are based on simplified 2D cultures or acute ex vivo models, which may not accurately reflect the multicellular pathology of human SCI [107]. A critical future direction involves using higher-fidelity models, including human spinal cord organoids, chronic large animal SCI models, or multicellular 3D coculture systems [108]. Techniques such as live-cell imaging with mechanical biosensors and single-cell multiomics will be crucial for mapping the spatiotemporal activity of mechanosensitive pathways in these systems [109]. Furthermore, research must account for interindividual variability, as genetic background and injury specifics likely create a spectrum of “personalized” mechanical microenvironments requiring adaptable therapeutic strategies [110]. In particular, whether patient-specific mechanical microenvironments predict optimal scaffold stiffness and therapeutic outcomes remains unknown. Addressing these challenges is imperative for evolving from passive biomaterial implants to active systems capable of dynamically reprogramming the post-SCI landscape.
Complementing these experimental approaches, artificial intelligence is emerging as a powerful tool to accelerate mechanistic discovery and bridge the gap between in vitro observation and in vivo prediction. Machine learning models have already enabled single-cell resolution mapping of macrophage polarization across millions of nanotopographies, identifying specific surface patterns that suppress inflammation via ROCK-dependent mechanotransduction [111]. At the molecular level, artificial-intelligence-driven virtual screening is being applied to design isoform-selective Piezo1 modulators with unprecedented precision [112]. By integrating these computational pipelines with high-content experimental data, future studies can systematically decode the regulatory logic of mechanosensitive networks and predict optimal therapeutic windows across the heterogeneous SCI population. However, whether artificial intelligence models can integrate multimodal data to predict optimal scaffold stiffness and intervention timing for individual patients remains unknown.
Synthesizing the intervention strategies reviewed above, Table 6 provides a phase-specific framework of potential approaches based on the spatiotemporal evolution of the mechanical microenvironment. Among these, cell-based mechanomodulation strategies offer the potential to harness endogenous repair mechanisms through physical guidance and mechanical priming. However, the optimal priming protocol, including duration, stiffness and mechanical loading regimen, remains undefined. Integrating mechanical modulation with cell-based therapies represents a key direction, such as using superparamagnetic-iron-oxide-nanoparticle-grafted aligned fibers with alternating magnetic fields to enhance neurite outgrowth from dorsal root ganglia [86]. Furthermore, functionalized biomaterial scaffolds provide multifunctional platforms that can deliver structural support, biochemical signals, and electrical cues to synergistically guide axonal regeneration and neuronal differentiation [25]. The development of “smart” scaffolds capable of responsive factor release or combined with electrical stimulation is actively pursued to enhance NSC differentiation and functional integration [101,113].
Despite these promising advances, the clinical realization of mechanotargeted strategies faces substantial hurdles, including ensuring long-term biocompatibility of implanted components, achieving precise spatiotemporal control of physical stimuli within heterogeneous spinal cord tissue, and personalizing treatment protocols to accommodate the dynamic evolution of inflammation, fibrosis, and cystic cavitation [114,115]. Bridging this gap from bench to bedside will therefore require a translational pipeline built upon clinically relevant large-animal models [116]. Advanced monitoring technologies will be essential, including diffusion tensor imaging for axonal integrity and optical coherence elastography or ultrasound-based shear wave elastography for noninvasive, real-time mapping of spinal cord mechanical properties during injury progression and therapeutic intervention [117]. Furthermore, sustained multidisciplinary collaboration across bioengineering, materials science, and clinical medicine will be required to optimize biomaterial manufacturing, establish safety standards, and rationally combine mechanobiological interventions with pharmacological agents, rehabilitation training, and cell-based therapies to maximize functional recovery (Fig. 7).
SCI initiates a profound, dynamic remodeling of the local mechanical microenvironment that evolves in a spatiotemporally heterogeneous manner across acute, subacute, and chronic phases. This process encompasses marked alterations in tissue stiffness, ECM composition, and the presentation of mechanical cues, all of which collectively influence cellular behavior and regenerative outcomes. Key mechanosensitive receptors, including Piezo channels, integrins, and cadherins, transduce these physical signals into biochemical responses, orchestrating critical processes such as neuroglial interactions, immune modulation, and scar formation. The mechanical niche therefore emerges as an active regulator of secondary injury and repair, underscoring its central role in post-SCI pathology.
Emerging therapeutic strategies targeting the mechanical microenvironment show considerable promise for promoting neural repair. Surgical decompression, ESWT, magnetic cell guidance, and advanced biomaterial scaffolds represent innovative approaches aimed at modulating mechanical cues to support neuroregeneration and functional recovery. These interventions act through diverse mechanisms, including alleviating intraspinal pressure, activating mechanotransduction pathways, guiding cell migration, and providing permissive structural support. Biomaterials, in particular, offer versatile platforms for mimicking native tissue mechanics, delivering biochemical signals, and facilitating cellular integration, thereby bridging the lesion site and fostering a regenerative milieu.
Despite these advances, substantial challenges remain in translating mechanobiology insights into clinical practice. A deeper understanding of cell-type-specific mechanosignaling networks, the development of more physiologically relevant injury models, and the establishment of personalized intervention protocols are essential for future progress. Interdisciplinary collaboration across neuroscience, bioengineering, and clinical medicine will be crucial to optimizing therapeutic timing, spatial targeting, and combinatorial strategies. By addressing these translational barriers, mechanotargeted therapies hold strong potential to evolve into effective, precision-based treatments for functional restoration after SCI.
1.
Zheng B, Tuszynski MH.Regulation of axonal regeneration after mammalian spinal cord injury. Nat Rev Mol Cell Biol. 2023;24(6):396–413.
2.
Lu Y, Shang Z, Zhang W, Hu X, Shen R, Zhang K, Zhang Y, Zhang L, Liu B, Pang M, et al.Global, regional, and national burden of spinal cord injury from 1990 to 2021 and projections for 2050: A systematic analysis for the Global Burden of Disease 2021 study. Ageing Res Rev. 2025;103:Article 102598.
3.
Fyfe I.Regrowth and recovery in mice with spinal cord injury. Nat Rev Neurol. 2023;19(11):637.
4.
Moeendarbary E, Weber IP, Sheridan GK, Koser DE, Soleman S, Haenzi B, Bradbury EJ, Fawcett J, Franze K.The soft mechanical signature of glial scars in the central nervous system. Nat Commun. 2017;8:14787.
5.
Sun Z, Chen Z, Yin M, Wu X, Guo B, Cheng X, Quan R, Sun Y, Zhang Q, Fan Y, et al.Harnessing developmental dynamics of spinal cord extracellular matrix improves regenerative potential of spinal cord organoids. Cell Stem Cell. 2024;31(5):772–787.e11.
6.
Pathak MM, Nourse JL, Tran T, Hwe J, Arulmoli J, Le DTT, Bernardis E, Flanaga LA, Tombola F.Stretch-activated ion channel Piezo1 directs lineage choice in human neural stem cells. Proc Natl Acad Sci USA. 2014;111(45):16148–16153.
7.
Álvarez Z, Kolberg-Edelbrock AN, Sasselli IR, Ortega JA, Qiu R, Syrgiannis Z, Mirau PA, Chen F, Chin SM, Weigand S, et al.Bioactive scaffolds with enhanced supramolecular motion promote recovery from spinal cord injury. Science. 2021;374(6569):848–856.
8.
Jin C, Zhu R, Wang Z-W, Li Y, Ni H-F, Xu M-L, Zheng L-D, Cao Y-T, Yang Y-T, Xu W, et al.Dynamic changes in mechanical properties of the adult rat spinal cord after injury. Acta Biomater. 2023;155:436–448.
9.
Li C, Wu Z, Zhou L, Shao J, Hu X, Xu W, Ren Y, Zhu X, Ge W, Zhang K, et al.Temporal and spatial cellular and molecular pathological alterations with single-cell resolution in the adult spinal cord after injury. Signal Transduct Target Ther. 2022;7(1):65.
10.
Zhou R, Li J, Chen Z, Wang R, Shen Y, Zhang R, Zhou F, Zhang Y.Pathological hemodynamic changes and leukocyte transmigration disrupt the blood–spinal cord barrier after spinal cord injury. J Neuroinflammation. 2023;20(1):118.
11.
Hu X, Xu W, Ren Y, Wang Z, He X, Huang R, Ma B, Zhao J, Zhu R, Cheng L.Spinal cord injury: Molecular mechanisms and therapeutic interventions. Signal Transduct Target Ther. 2023;8(1):245.
12.
Xue X, Wu X, Fan Y, Han S, Zhang H, Sun Y, Yin Y, Yin M, Chen B, Sun Z, et al.Heterogeneous fibroblasts contribute to fibrotic scar formation after spinal cord injury in mice and monkeys. Nat Commun. 2024;15(1):6321.
13.
Manesco C, Saavedra-Villanueva O, Martin M, de Lizaraga J, Varga B, Cloitre T, Gerber YN, Perrin FE, Gergely C.Organization of collagen fibers and tissue hardening: Markers of fibrotic scarring after spinal cord injury in mice revealed by multiphoton-atomic force microscopy imaging. Nanomed-Nanotechnol Biol Med. 2023;53:Article 102699.
14.
Pan D, Li Y, Yang F, Lv Z, Zhu S, Shao Y, Huang Y, Ning G, Feng S.Increasing Toll-like receptor 2 on astrocytes induced by Schwann cell-derived exosomes promotes recovery by inhibiting CSPGs deposition after spinal cord injury. J Neuroinflammation. 2021;18(1):172.
15.
Cooper JG, Sicard D, Sharma S, Van Gulden S, McGuire TL, Cajiao MP, Tschumperlin DJ, Kessler JA.Spinal cord injury results in chronic mechanical stiffening. J Neurotrauma. 2020;37(3):494–506.
16.
Tian T, Zhang S, Yang M.Recent progress and challenges in the treatment of spinal cord injury. Protein Cell. 2023;14(9):635–652.
17.
Milich LM, Choi JS, Ryan C, Cerqueira SR, Benavibes S, Yahn SL, Tsoulfas P, Lee JK.Single-cell analysis of the cellular heterogeneity and interactions in the injured mouse spinal cord. J Exp Med. 2021;218(8):Article e20210040.
18.
Soderblom C, Luo X, Blumenthal E, Bray E, Lyapichev K, Ramos J, Krishnan V, Lai-Hsu C, Park KK, Tsoulfas P, et al.Perivascular fibroblasts form the fibrotic scar after contusive spinal cord injury. J Neurosci. 2013;33(34):13882–13887.
19.
Pan D, Wu P, Noller K, Cahan P, Cao X.TGF-β-induced fibrotic scar formation limits recovery of spinal cord injury. Bone Res. 2026;14(1):27.
20.
Dias DO, Kalkitsas J, Kelahmetoglu Y, Estrada CP, Tatarishvili J, Holl D, Jansson L, Banitalebi S, Amiry-Moghaddam M, Ernst A, et al.Pericyte-derived fibrotic scarring is conserved across diverse central nervous system lesions. Nat Commun. 2021;12(1):5501.
21.
Funk LH, Hackett AR, Bunge MB, Lee JK.Tumor necrosis factor superfamily member APRIL contributes to fibrotic scar formation after spinal cord injury. J Neuroinflammation. 2016;13(1):87.
22.
Fan Y, Wu X, Han S, Zhang Q, Sun Z, Chen B, Xue X, Zhang H, Chen Z, Yin M, et al.Single-cell analysis reveals region-heterogeneous responses in rhesus monkey spinal cord with complete injury. Nat Commun. 2023;14(1):4796.
23.
Tran AP, Warren PM, Silver J.The biology of regeneration failure and success after spinal cord injury. Physiol Rev. 2018;98(2):881–917.
24.
Burda JE, Sofroniew MV.Reactive gliosis and the multicellular response to CNS damage and disease. Neuron. 2014;81(2):229–248.
25.
Chen Z, Sun Z, Fan Y, Yin M, Jin C, Guo B, Yin Y, Quan R, Zhao S, Han S, et al.Mimicked spinal cord fibers trigger axonal regeneration and remyelination after injury. ACS Nano. 2023;17(24):25591–25613.
26.
Dias DO, Kim H, Holl D, Solnestam BW, Lundeberg J, Carlén M, Göritz C, Frisén J.Reducing pericyte-derived scarring promotes recovery after spinal cord injury. Cell. 2018;173(1):153–165.e22.
27.
Bellver-Landete V, Bretheau F, Mailhot B, Vallières N, Lessard M, Janelle M-E, Vernoux N, Tremblay M-E, Fuehrmann T, Shoichet MS, et al.Microglia are an essential component of the neuroprotective scar that forms after spinal cord injury. Nat Commun. 2019;10(1):518.
28.
Zhou X, Wahane S, Friedl M-S, Kluge M, Friedel CC, Avrampou K, Zachariou V, Guo L, Zhang B, He X, et al.Microglia and macrophages promote corralling, wound compaction and recovery after spinal cord injury via Plexin-B2. Nat Neurosci. 2020;23(3):337–350.
29.
Bighinati A, Khalajzeyqami Z, Baldassarro VA, Lorezini L, Cescatti M, Moretti M, Giardino L, Calzà L.Time-course changes of extracellular matrix encoding genes expression level in the spinal cord following contusion injury-a data-driven approach. Int J Mol Sci. 2021;22(4):1744.
30.
Grycz K, Głowacka A, Ji B, Krzywdzińska K, Charzyńska A, Czarkowska-Bauch J, Gajewska-Woźniak O, Skup M.Regulation of perineuronal net components in the synaptic Bouton vicinity on lumbar α-motoneurons in the rat after spinalization and locomotor training: New insights from spatio-temporal changes in gene, protein expression and WFA labeling. Exp Neurol. 2022;354:Article 114098.
31.
Wang W, Tang S, Li C, Chen J, Li H, Su Y, Ning B.Specific brain morphometric changes in spinal cord injury: A voxel-based meta-analysis of white and gray matter volume. J Neurotrauma. 2019;36(15):2348–2357.
32.
David G, Pfyffer D, Vallotton K, Pfender N, Thompson A, Weiskopf N, Mohammadi S, Curt A, Freund P.Longitudinal changes of spinal cord grey and white matter following spinal cord injury. J Neurol Neurosurg Psychiatry. 2021;92(11):1222–1230.
33.
Wang Z, Li Z, Luan T, Cui G, Shu S, Liang Y, Zhang K, Xiao J, Yu W, Cui J, et al.A spatiotemporal molecular atlas of mouse spinal cord injury identifies a distinct astrocyte subpopulation and therapeutic potential of IGFBP2. Dev Cell. 2024;59(20):2787–2803.e8.
34.
McCallum S, Suresh KB, Islam TS, Tripathi MK, Saustad AW, Shelest O, Patil A, Lee D, Kwon B, Lietholf K, et al.Lesion-remote astrocytes govern microglia-mediated white matter repair. Nature. 2026;649(8098):959–970.
35.
Liu Z, Mao S, Hu Y, Liu F, Shao X.Hydrogel platform facilitating astrocytic differentiation through cell mechanosensing and YAP-mediated transcription. Mater Today Bio. 2023;22:Article 100735.
36.
Jiu J, Liu H, Li D, Li X, Zhang J, Yan L, Fan Z, Li S, Du G, Li JJ, et al.3D mechanical response stem cell complex repairs spinal cord injury by promoting neurogenesis and regulating tissue homeostasis. Adv Healthc Mater. 2025;14(7):Article e2404925.
37.
Lei M, Wang W, Zhang H, Gong J, Cai H, Wang Z, Zhu L, Yang X, Wang S, Ma C.Piezo1 regulates stiffness-dependent DRG axon regeneration via modifying cytoskeletal dynamics. Adv Sci. 2024;11(47):Article e2405705.
38.
Wu B, Lei X, Ru X, Zhou J, Liu H, Gan Y, Wang Y, Li W.Structure-inspired lineage-specific matrix for endogenous neurogenesis in spinal cord injury. Research. 2025;8:0821.
39.
Yoshizaki S, Tamaru T, Hara M, Kijima K, Tanaka M, Konno D-J, Matsumoto Y, Nakashima Y, Okada S.Microglial inflammation after chronic spinal cord injury is enhanced by reactive astrocytes via the fibronectin/β1 integrin pathway. J Neuroinflammation. 2021;18(1):12.
40.
Zhu Y, Soderblom C, Trojanowsky M, Lee DH, Lee JK.Fibronectin matrix assembly after spinal cord injury. J Neurotrauma. 2015;32(15):1158–1167.
41.
Doulames VM, Marquardt LM, Hefferon ME, Baugh NJ, Suhar RA, Wang AT, Dubbin KR, Weimann JM, Palmer TD, Plant GW, et al.Custom-engineered hydrogels for delivery of human iPSC-derived neurons into the injured cervical spinal cord. Biomaterials. 2024;305:122400.
42.
Li Y, Cheng S, Wen H, Xiao L, Deng Z, Huang J, Zhang Z.Coaxial 3D printing of hierarchical structured hydrogel scaffolds for on-demand repair of spinal cord injury. Acta Biomater. 2023;168:400–415.
43.
Zhao H, Xiong T, Chu Y, Hao W, Zhao T, Sun X, Zhuang Y, Chen B, Zhao Y, Wang J, et al.Biomimetic dual-network collagen fibers with porous and mechanical cues reconstruct neural stem cell niche via AKT/YAP mechanotransduction after spinal cord injury. Small. 2024;20(32):Article e2311456.
44.
Hosseini SM, Nemati S, Karimi-Abdolrezaee S.Astrocytes originated from neural stem cells drive the regenerative remodeling of pathologic CSPGs in spinal cord injury. Stem Cell Reports. 2024;19(10):1451–1473.
45.
Lang BT, Cregg JM, DePaul MA, Tran AP, Xu K, Dyck SM, Madalena KM, Brown BP, Weng Y-L, Li S, et al.Modulation of the proteoglycan receptor PTPσ promotes recovery after spinal cord injury. Nature. 2015;518(7539):404–408.
46.
Yang J, Kim K, Liu Y, Luo X, Ma C, Man W, Zhao Y, Cao Z, Hu P, Chen J, et al.3D bioprinted dynamic bioactive living construct enhances mechanotransduction-assisted rapid neural network self-organization for spinal cord injury repair. Bioact Mater. 2025;46:531–554.
47.
Zheng Y, Nuetzl M, Schackel T, Chen J, Weidner N, Müller R, Puttagunta R.Biomaterial scaffold stiffness influences the foreign body reaction, tissue stiffness, angiogenesis and neuroregeneration in spinal cord injury. Bioact Mater. 2025;46:134–149.
48.
Stern S, Hilton BJ, Burnside ER, Dupraz S, Handley EE, Gonyer JM, Brakebusch C, Bradke F.RhoA drives actin compaction to restrict axon regeneration and astrocyte reactivity after CNS injury. Neuron. 2021;109(21):3436–3455.e9.
49.
Cai J, Zheng X, Luo X, Cui W, Ma X, Xu S, Fu L, Zhang J, Xu Y, Li Y, et al.Loss of RhoA in microglia disables glycolytic adaptation and impairs spinal cord injury recovery through Arhgap25/HIF-1α pathway. Cell Death Dis. 2025;16(1):636.
50.
Wang WZ, Li J, Liu L, Zhang Z-D, Li M-X, Li Q, Ma H-X, Yang H, Hou X-L.Role of circular RNA expression in the pathological progression after spinal cord injury. Neural Regen Res. 2021;16(10):2048–2055.
51.
Wang W, Li J, Zhang Z, Ma H, Li Q, Yang H, Li M, Liu L.Genome-wide analysis of acute traumatic spinal cord injury-related RNA expression profiles and uncovering of a regulatory axis in spinal fibrotic scars. Cell Prolif. 2021;54(1):Article e12951.
52.
Ling J, Huang T, Wu R, Ma C, Lin G, Zhou Z, Wang J, Tu Q, Tang X, Liu Y, et al.Cell development enhanced bionic silk hydrogel on remodeling immune pathogenesis of spinal cord injury via M2 polarization of microglial. Adv Funct Mater. 2023;33(14):2213342.
53.
Wu S, Hao W, Suo Q, Lu Q, Liu Z, Yao YQ, Shi R, Haroon K, Chen Y, Shao X, et al.Piezo1 induces Wnt7b+ astrocytes transformation to modulate glial scar stiffness and neuro-regeneration after stroke. Theranostics. 2026;16(2):668–688.
54.
Chen Z, Wang L, Chen C, Sun J, Luo J, Cui W, Zhu C, Zhou X, Liu X, Yang H, et al.NSC-derived extracellular matrix-modified GelMA hydrogel fibrous scaffolds for spinal cord injury repair. NPG Asia Mater. 2022;14(1):20.
55.
Sun X, Bai Y, Zhai H, Liu S, Zhang C, Xu Y, Zou J, Wang T, Chen S, Zhu Q, et al.Devising micro/nano-architectures in multi-channel nerve conduits towards a pro-regenerative matrix for the repair of spinal cord injury. Acta Biomater. 2019;86:194–206.
56.
Wang Z, Jia S, Xu H, Wang X, Lu B, Wu W, Huang D, Kong L, Kang X, Tian F, et al.A functionalized self-assembling peptide containing E7 and YIGSR sequences enhances neuronal differentiation of spermatogonial stem cells on aligned PCL fibers for spinal cord injury repair. Theranostics. 2022;12(17):7567–7585.
57.
Rogers J.Cell-specific restraint. Nat Rev Neurosci. 2021;22(11):653.
58.
Luo Y, Fan L, Liu C, Wen H, Wang S, Guan P, Chen D, Ning C, Zhou L, Tan G.An injectable, self-healing, electroconductive extracellular matrix-based hydrogel for enhancing tissue repair after traumatic spinal cord injury. Bioact Mater. 2022;7:98–111.
59.
Greaney AJ, Abubaker M, McCarthy CM, Reardon EC, Mulvihill JJE.Mechanical contrast between brain and leptomeninges: Insights into leptomeningeal cell and astrocyte responses to mechanical stiffness alterations. Acta Biomater. 2025;203:492–508.
60.
O’Shea TM, Ao Y, Wang S, Ren Y, Cheng AL, Kawaguchi R, Shi Z, Swarup V, Sofroniew MV.Derivation and transcriptional reprogramming of border-forming wound repair astrocytes after spinal cord injury or stroke in mice. Nat Neurosci. 2024;27(8):1505–1521.
61.
Deng W, Shao F, He Q, Wang Q, Shi W, Yu Q, Cao X, Feng C, Bi S, Chen J, et al.EMSCs build an all-in-one niche via cell-cell lipid raft assembly for promoted neuronal but suppressed astroglial differentiation of neural stem cells. Adv Mater. 2019;31(10):Article e1806861.
62.
Cregg JM, DePaul MA, Filous AR, Lang BT, Tran A, Silver J.Functional regeneration beyond the glial scar. Exp Neurol. 2014;253:197–207.
63.
Meletis K, Barnabé-Heider F, Carlén M, Evergren E, Tomilin N, Shupliakov O, Frisén J.Spinal cord injury reveals multilineage differentiation of ependymal cells. PLoS Biol. 2008;6(7):Article e182.
64.
Lasli S, Vinel C, Agrawal A, Javanmardi Y, Pedarzani P, Diaz BG, Garcia-Leon JA, Djordjevic B, White IJ, Sheridan GK, et al.Tunable hydrogel-based micropillar arrays for myelination studies. Nat Methods. 2026;23(4):854–864.
65.
Ghorbani S, Jelinek E, Jain R, Buehner B, Li C, Lozinski BM, Sarkar S, Kaushik DK, Dong Y, Wight TN, et al.Versican promotes T helper 17 cytotoxic inflammation and impedes oligodendrocyte precursor cell remyelination. Nat Commun. 2022;13(1):2445.
66.
Kim J, Adams AA, Gokina P, Zambrano B, Jayakumaran J, Dobrowolski R, Maurel P, Pfister BJ, Kim HA.Mechanical stretch induces myelin protein loss in oligodendrocytes by activating Erk1/2 in a calcium-dependent manner. Glia. 2020;68(10):2070–2085.
67.
Liu T, Zhu W, Wan Z, Fu C, Zhang X, Li W, Li W, Wu Z, Guo M, Long M, et al.Neuroactive network tissue based on dual-factor neuroregenerative bioactive coating scaffolds and neural stem cells for spinal cord injury repair. Mater Today Bio. 2025;34:Article 102172.
68.
Milich LM, Ryan CB, Lee JK.The origin, fate, and contribution of macrophages to spinal cord injury pathology. Acta Neuropathol. 2019;137(5):785–797.
69.
Huang J, Hu X, Chen Z, Ouyang F, Li J, Hu Y, Zhao Y, Wang J, Yao F, Jing J, et al.Fascin-1 limits myosin activity in microglia to control mechanical characterization of the injured spinal cord. J Neuroinflamm. 2024;21(1):88.
70.
Yu B, Zhang Y, Yang Y, Yang S, Wu H, Gao X, Hao Y, Li S, Xia B, Liu J, et al.Neonatal-inspired reprogramming of microglial pan-programmed cell death enhances regeneration in adult spinal cord injury. Research. 2025;8:0759.
71.
Brennan FH, Li Y, Wang C, Ma A, Guo Q, Li Y, Pukos N, Campbell WA, Witcher KG, Guan Z, et al.Microglia coordinate cellular interactions during spinal cord repair in mice. Nat Commun. 2022;13(1):4096.
72.
Li Y, He X, Kawaguchi R, Zhang Y, Wang Q, Monavarfeshani A, Yang Z, Chen B, Shi Z, Meng H, et al.Microglia-organized scar-free spinal cord repair in neonatal mice. Nature. 2020;587(7835):613–618.
73.
Wang W, Liu C, He D, Shi G, Song P, Zhang B, Li T, Wei J, Jiang Y, Ma L.CircRNA CDR1as affects functional repair after spinal cord injury and regulates fibrosis through the SMAD pathway. Pharmacol Res. 2024;204:Article 107189.
74.
Xiao L, Shi K, Li W, Liu J, Xie P, Hu Z, Dai Y, Weng H, Yuan Q, Wu W, et al.Targeting fibrotic scarring by mechanoregulation of Il11ra1+/Itga11+fibroblast patterning promotes axon growth after spinal cord injury. Adv Sci. 2025, 12(44):Article e013476.
75.
Ruschel J, Hellal F, Flynn KC, Dupraz S, Elliot DA, Tedeschi A, Bates M, Sliwinski C, Brook G, Dobrint K, et al.Systemic administration of epothilone B promotes axon regeneration and functional recovery after spinal cord injury. Science. 2015;348(6232):347–352.
76.
Hellal F, Hurtado A, Ruschel J, Flynn KC, Laskowski CJ, Umlauf M, Kapitein LC, Strikis D, Lemmon V, Bixby J, et al.Microtubule stabilization reduces scarring and causes axon regeneration after spinal cord injury. Science. 2011;331(6019):928–931.
77.
Li S, Ke Z, Peng X, Fan P, Chao J, Wu P, Xiao P, Zhou Y.Injectable and fast gelling hyaluronate hydrogels with rapid self-healing ability for spinal cord injury repair. Carbohydr Polym. 2022;298:Article 120081.
78.
You Z, Gao X, Kang X, Yang W, Xiong T, Li Y, Wei F, Zhuang Y, Zhang T, Sun Y, et al.Microvascular endothelial cells derived from spinal cord promote spinal cord injury repair. Bioact Mater. 2023;29:36–49.
79.
Badhiwala JH, Wilson JR, Witiw CD, Harrop JS, Vaccaro AR, Aarabi B, Grossman RG, Geisler FH, Fehlings MG.The influence of timing of surgical decompression for acute spinal cord injury: A pooled analysis of individual patient data. Lancet Neurol. 2021;20(2):117–126.
80.
OSCIS investigators, Chikuda H, Koyama Y, Matsubayashi Y, Ogata T, Ohtsu H, Sugita S, Sumitani M, Kadono Y, Miura T, et al.Effect of early vs delayed surgical treatment on motor recovery in incomplete cervical spinal cord injury with preexisting cervical stenosis: A randomized clinical trial. JAMA Netw Open. 2021;4(11):Article e2133604.
81.
Jin C, Wang K, Ren Y, Li Y, Wang Z, Cheng L, Xie N.Role of durotomy on function outcome, tissue sparing, inflammation, and tissue stiffness after spinal cord injury in rats. MedComm (2020). 2024;5(4):e530.
82.
Zhang X, Qin C, Jing Y, Yang D, Liu C, Gao F, Zhang C, Talifu Z, Yang M, Du L, et al.Therapeutic effects of rapamycin and surgical decompression in a rabbit spinal cord injury model. Cell Death Dis. 2020;11(7):567.
83.
Guo J, Hai H, Ma Y.Application of extracorporeal shock wave therapy in nervous system diseases: A review. Front Neurol. 2022;13:Article 963849.
84.
Matsuda M, Kanno H, Sugaya T, Yamaya S, Yahata K, Handa K, Shindo T, Shimokawa H, Ozawa H, Itoi E.Low-energy extracorporeal shock wave therapy promotes BDNF expression and improves functional recovery after spinal cord injury in rats. Exp Neurol. 2020;328:Article 113251.
85.
Leister I, Mittermayr R, Mattiassich G, Aigner L, Haider T, Machegger L, Kindermann H, Grazer-Horacek A, Holfeld J, Schaden W.The effect of extracorporeal shock wave therapy in acute traumatic spinal cord injury on motor and sensory function within 6 months post-injury: A study protocol for a two-arm three-stage adaptive, prospective, multi-center, randomized, blinded, placebo-controlled clinical trial. Trials. 2022;23(1):245.
86.
Funnell JL, Ziemba AM, Nowak JF, Awada H, Prokopiou N, Samuel J, Guari Y, Nottelet B, Gilbert RJ.Assessing the combination of magnetic field stimulation, iron oxide nanoparticles, and aligned electrospun fibers for promoting neurite outgrowth from dorsal root ganglia in vitro. Acta Biomater. 2021;131:302–313.
87.
Zhang W, Liu M, Ren J, Han S, Zhou X, Zhang D, Guo X, Feng H, Ye L, Feng S, et al.Magnetic nanoparticles and methylprednisolone based physico-chemical bifunctional neural stem cells delivery system for spinal cord injury repair. Adv Sci. 2024;11(21):Article e2308993.
88.
Fan Z, Zhang G, Zhan W, Wang J, Wang C, Yue Q, Huang Z, Wang Y.Hyaluronidase-responsive hydrogel loaded with magnetic nanoparticles combined with external magnetic stimulation for spinal cord injury repair. Mater Today Bio. 2025;30:Article 101378.
89.
Wang R, Wu X, Tian Z, Hu T, Cai C, Wu GP, Jiang GB, Liu B.Sustained release of hydrogen sulfide from anisotropic ferrofluid hydrogel for the repair of spinal cord injury. Bioact Mater. 2023;23:118–128.
90.
Woods I, O’Connor C, Frugoli L, Kerr S, Gutierrez Gonzalez J, Stasiewicz M, McGuire T, Cavanagh B, Hibbitts A, Dervan A, et al.Biomimetic scaffolds for spinal cord applications exhibit stiffness-dependent immunomodulatory and neurotrophic characteristics. Adv Healthc Mater. 2022;11(3):Article e2101663.
91.
Yang K, Yang J, Man W, Meng Z, Yang CY, Cao Z, Liu J, Kim K, Liu Y, Yang S, et al.N-cadherin-functionalized nanofiber hydrogel facilitates spinal cord injury repair by building a favorable niche for neural stem cells. Adv Fiber Mater. 2023;5(4):1349–1366.
92.
Chen S, Liu A, Wu C, Chen Y, Liu C, Zhang Y, Wu K, Wei D, Sun J, Zhou L, et al.Static dynamic profited viscoelastic hydrogels for motor-clutch regulated neurogenesis. ACS Appl Mater Interfaces. 2021;13(21):24463–24476.
93.
Chen S, Wu C, Zhou T, Wu K, Xin N, Liu X, Qiao Z, Wei D, Sun J, Luo H, et al.Aldehyde-methacrylate-hyaluronan profited hydrogel system integrating aligned and viscoelastic cues for neurogenesis. Carbohydr Polym. 2022;278:Article 118961.
94.
Jia S, Zhou H, Chen J, Lin J, Zhu X, Weng J, Li W, Yu F.A comprehensive review of hydrogel strategies for repairing peripheral nerve injuries. Brain-X. 2025;3(1):Article e70012.
95.
Zhang J, Gao Y, Zhang M, Zhao Y, Wang C, Gong J, Ding S, Liu M, Zhao X, Wu B, et al.Zinc-directed coordination network hydrogels for A20-mediated inflammation modulation and enhanced axonal regeneration in spinal cord injury. Adv Funct Mater. 2025;35(32):Article 2422906.
96.
Xiao L, Xie P, Ma J, Shi K, Dai Y, Pang M, Luo J, Tan Z, Ma Y, Wang X, et al.A bioinspired injectable, adhesive, and self-healing hydrogel with dual hybrid network for neural regeneration after spinal cord injury. Adv Mater. 2023;35(41):Article e2304896.
97.
Luo J, Shi X, Li L, Tan Z, Feng F, Li J, Pang M, Wang X, He L.An injectable and self-healing hydrogel with controlled release of curcumin to repair spinal cord injury. Bioact Mater. 2021;6(12):4816–4829.
98.
Yao S, Yang Y, Li C, Yang K, Song X, Li C, Cao Z, Zhao H, Yu X, Wang X, et al.Axon-like aligned conductive CNT/GelMA hydrogel fibers combined with electrical stimulation for spinal cord injury recovery. Bioact Mater. 2024;35:534–548.
99.
Wang M, Wang C, Chen M, Luo M, Chen Q, Lei B.Mechanics-electro-adaptive multifunctional bioactive nanocomposites hydrogel for inducing spinal cord regeneration. Chem Eng J. 2022;439:Article 135629.
100.
Chen L, Wang W, Lin Z, Lu Y, Chen H, Li B, Li Z, Xia H, Li L, Zhang T.Conducting molybdenum sulfide/graphene oxide/polyvinyl alcohol nanocomposite hydrogel for repairing spinal cord injury. J Nanobiotechnology. 2022;20(1):210.
101.
Shi G, Su T, Li J, Wang A, Gao G, Tao B, Chen N, Tian L, Yan J, Zhao L, et al.Biomimetic piezoelectric hydrogel system for energy metabolism reprogramming in spinal cord injury repair. Theranostics. 2025;15(11):4955–4969.
102.
Thompson RE, Pardieck J, Smith L, Kenny P, Crawford L, Shoichet M, Sakiyama-Elbert S.Effect of hyaluronic acid hydrogels containing astrocyte-derived extracellular matrix and/or V2a interneurons on histologic outcomes following spinal cord injury. Biomaterials. 2018;162:208–223.
103.
Luo M, Lin J, Li J, He M, Hu H, Wang X, Li J, Wu C, Ma L, Wang Y, et al.Biodegradable polyurethane-decellular extracellular matrix based bioscaffolds promote nerve repair after spinal cord injury. Chem Eng J. 2025;523:Article 168336.
104.
Arulmoli J, Wright HJ, Phan DTT, Sheth U, Que RA, Botten GA, Keating M, Botvinick EL, Pathak MM, Zarembinski TI, et al.Combination scaffolds of salmon fibrin, hyaluronic acid, and laminin for human neural stem cell and vascular tissue engineering. Acta Biomater. 2016;43:122–138.
105.
Yun Z, Wu J, Sun X, Yu T, Xue W, Dai A, Yuan T, Yang X, Han I, Liu Y, et al.Neural-enhancing PRP/Alg/GelMA triple-network hydrogel for neurogenesis and angiogenesis after spinal cord injury via PI3K/AKT/mTOR signaling pathway. Theranostics. 2025;15(9):3837–3861.
106.
Zhang T, Zhang N, Feng R, Wang H, Bi F, Wang S.Promoting the welfare of animals utilized in neuroscience research. Brain-X. 2024;2(3):Article e70002.
107.
Walsh CM, Hill S, Newland B, Dooley D.Cryogel scaffolds for localised delivery of lipopolysaccharide in organotypic spinal cord slice cultures: A novel ex vivo model of neuroinflammation. Mater Today Bio. 2025;34:Article 102211.
108.
Takata N, Li Z, Metlushko A, Chen F, Sather NA, Lin X, Schipma MJ, Carballo-Molina OA, Jamroz C, Strong ME, et al.Injury and therapy in a human spinal cord organoid. Nat Biomed Eng. 2026; 10.1038/s41551-025-01606-2.
109.
Wang K, Zheng J, Li R, Chen T, Ma Y, Wu P, Luo J, Zhu J, Lin W, Zhao M, et al.Single-cell multi-omics assessment of spinal cord injury blocking via cerium-doped upconversion antioxidant nanoenzymes. Adv Sci. 2025;12(8):Article e2412526.
110.
Ran N, Li W, Zhang R, Lin C, Zhang J, Wei Z, Li Z, Yuan Z, Wang M, Fan B, et al.Autologous exosome facilitates load and target delivery of bioactive peptides to repair spinal cord injury. Bioact Mater. 2023;25:766–782.
111.
Hou Y, Conklin B, Choi HK, Yang L, Lee KB.Probing nanotopography-mediated macrophage polarization via integrated machine learning and combinatorial biophysical cue mapping. ACS Nano. 2024;18(37):25465–25477.
112.
Wang J, Jing F, Zhao Y, You Z, Zhang A, Qin S.Piezo1: Structural pharmacology and mechanotransduction mechanisms. Trends Pharmacol Sci. 2025;46(8):752–770.
113.
Ye J, Li F, Wen Z, He J, Pan G, Zhai X, Song L, Zhang X, Zhou X, Yao X, et al.Multichannel 3D-printed bioactive scaffold combined with small interfering RNA delivery to promote neurological recovery after spinal cord injury. Research. 2025;8:0951.
114.
Zipser CM, Cragg JJ, Guest JD, Fehlings MG, Jutzeler CR, Anderson AJ, Curt A.Cell-based and stem-cell-based treatments for spinal cord injury: Evidence from clinical trials. Lancet Neurol. 2022;21(7):659–670.
115.
Zuo Y, Ye J, Cai W, Guo B, Chen X, Lin L, Jin S, Zheng H, Fang A, Qian X, et al.Controlled delivery of a neurotransmitter-agonist conjugate for functional recovery after severe spinal cord injury. Nat Nanotechnol. 2023;18(10):1230–1240.
116.
Koffler J, Zhu W, Qu X, Platoshyn O, Dulin JN, Brock J, Graham L, Lu P, Sakamoto J, Marsala M, et al.Biomimetic 3D-printed scaffolds for spinal cord injury repair. Nat Med. 2019;25(2):263–269.
117.
Squair JW, Milano M, de Coucy A, Gautier M, Skinnider MA, James ND, Cho N, Lasne A, Kathe C, Hutson TH, et al.Recovery of walking after paralysis by regenerating characterized neurons to their natural target region. Science. 2023;381(6664):1338–1345.
118.
Zhang Q, Zheng J, Li L, Yeh J-M, Xie X, Zhao Y, Li C, Hou G, Yan H.Bioinspired conductive oriented nanofiber felt with efficient ROS clearance and anti-inflammation for inducing M2 macrophage polarization and accelerating spinal cord injury repair. Bioact Mater. 2025;46:173–194.
119.
Comino-Suárez N, Gómez-Soriano J, Ceruelo-Abajo S, Vargas-Baquero E, Esclarín A, Avendaño-Coy J.Extracorporeal shock wave for plantar flexor spasticity in spinal cord injury: A case report and review of literature. World J Clin Cases. 2023;11(1):127–134.
120.
Li Y, Zhu Y, Xie Z, Jiang C, Li F.Long-term radial extracorporeal shock wave therapy for neurogenic heterotopic ossification after spinal cord injury: A case report. J Spinal Cord Med. 2022;45(3):476–480.
121.
Jeon HM, Lee WJ, Chung HS, Yi YG, Yang S, Kim DH, Do KH.Extracorporeal shock wave therapy to treat neurogenic heterotopic ossification in a patient with spinal cord injury: A case report. J Spinal Cord Med. 2021;44(4):627–630.
122.
Kang N, Yu X, Ma Y.Radial extracorporeal shock wave therapy in a patient with decubitus ulcer after spinal cord injury: A case report. Am J Transl Res. 2020;12(5):2093–2098.
Year 2026 volume 9 Issue 7
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doi: 10.34133/research.1361
  • Receive Date:2026-05-06
  • Online Date:2026-10-16
  • Published:2026-07-20
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  • Received:2026-05-06
  • Revised:2026-06-10
  • Accepted:2026-06-23
Affiliations
    1West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
    2Department of Orthopedic, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China.
    3State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu 610041, China.
    4Hubei Key Laboratory of Sports Injury and Precision Therapy, Wuhan Fourth Hospital, Wuhan 430030, China.
    5Department of Plastic Surgery, The Second Affiliated Hospital of Zhejiang University College of Medicine, Hangzhou 310000, China.
    6Department of Pathology, Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo 100-8994, Japan.
    7Department of Orthopedics, The First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, China.
    8School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, 999077, China.

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* Address correspondence to: (Z.Z.);
* Address correspondence to: (W.W.);
* Address correspondence to: (Z.W.)
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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