Background: Contusion spinal cord injury (SCI) models are extensively used in preclinical research because of their ability to mimic the pathophysiological characteristics observed in humans. Although various impact devices have been developed to establish graded contusion SCI models, few studies have systematically investigated the relationship between impact depth and injury severity. In this study, we aimed to establish and characterize a graded SCI model, with impact depth as the independent variable.
Methods: A precise impactor system was used to establish graded SCI models by adjusting the impact depth, with comprehensive evaluations of locomotor function, imaging, histology, and transcriptomic profiles of the injured spinal cord. Additionally, gene expression trend analysis and subsequent Gene Ontology enrichment analysis were performed to investigate the potential biological mechanisms associated with injury severity.
Results: The Basso, Beattie, Bresnahan (BBB) score and CatWalk gait analysis demonstrated a severity-dependent functional recovery pattern in different impact depth groups across multiple postinjury time points. Magnetic resonance imaging and histological results revealed a correlation between impact depth and lesion size. Principal component analysis and heat map clustering of the transcriptomic profile revealed intragroup clustering and intergroup separation, with different injury severities across different time points postinjury. Furthermore, biological mechanisms that correlated with injury severity were identified using gene expression trend analysis.
Conclusions: This study established a quantifiable, graded rat SCI model that was comprehensively evaluated using multiple approaches and may serve as a valuable platform for future SCI research.
| [1] |
Kalotra S, Kaur G. Neuromethods and assessment tools for traumatic spinal cord injury in rodents: a mini review. Injury. 2025; 56(7):112288.
|
| [2] |
Adegeest CY, van Gent JAN, Stolwijk-Swuste JM, et al. Influence of severity and level of injury on the occurrence of complications during the subacute and chronic stage of traumatic spinal cord injury: a systematic review. J Neurosurg Spine. 2022; 36(4): 632-652.
|
| [3] |
Quadri SA, Farooqui M, Ikram A, et al. Recent update on basic mechanisms of spinal cord injury. Neurosurg Rev. 2020; 43(2): 425-441.
|
| [4] |
Plemel JR, Duncan G, Chen KW, et al. A graded forceps crush spinal cord injury model in mice. J Neurotrauma. 2008; 25(4): 350-370.
|
| [5] |
Ghasemlou N, Kerr BJ, David S. Tissue displacement and impact force are important contributors to outcome after spinal cord contusion injury. Exp Neurol. 2005; 196(1): 9-17.
|
| [6] |
Yan R, Li E, Yan K, et al. A modified impactor for establishing a graded contusion spinal cord injury model in rats. Ann Transl Med. 2022; 10(8): 436.
|
| [7] |
Wu X, Zhang YP, Qu W, Shields LBE, Shields CB, Xu XM. A tissue displacement-based contusive spinal cord injury model in mice. J Vis Exp. 2017; 124.
|
| [8] |
Liu F, Huang Y, Wang H. Rodent models of spinal cord injury: from pathology to application. Neurochem Res. 2023; 48(2): 340-361.
|
| [9] |
Barbiellini Amidei C, Salmaso L, Bellio S, Saia M. Epidemiology of traumatic spinal cord injury: a large population-based study. Spinal Cord. 2022; 60(9): 812-819.
|
| [10] |
Mattucci S, Speidel J, Liu J, Kwon BK, Tetzlaff W, Oxland TR. Basic biomechanics of spinal cord injury—how injuries happen in people and how animal models have informed our understanding. Clin Biomech (Bristol). 2019; 64: 58-68.
|
| [11] |
Nishi RA, Liu H, Chu Y, et al. Behavioral, histological, and ex vivo magnetic resonance imaging assessment of graded contusion spinal cord injury in mice. J Neurotrauma. 2007; 24(4): 674-689.
|
| [12] |
Scheff SW, Rabchevsky AG, Fugaccia I, Main JA, Lumpp JE. Experimental modeling of spinal cord injury: characterization of a force-defined injury device. J Neurotrauma. 2003; 20(2): 179-193.
|
| [13] |
Kim JH, Tu TW, Bayly PV, Song SK. Impact speed does not determine severity of spinal cord injury in mice with fixed impact displacement. J Neurotrauma. 2009; 26(8): 1395-1404.
|
| [14] |
Zhang Z, Zhang YP, Shields LB, Shields CB. Technical comments on rodent spinal cord injuries models. Neural Regen Res. 2014; 9(5): 453-455.
|
| [15] |
Timotius IK, Bieler L, Couillard-Despres S, et al. Combination of defined CatWalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models. eNeuro. 2021; 8(2).
|
| [16] |
Hamers FP, Koopmans GC, Joosten EA. CatWalk-assisted gait analysis in the assessment of spinal cord injury. J Neurotrauma. 2006; 23(3–4): 537-548.
|
| [17] |
Xing C, Jia Z, Qu H, et al. Correlation analysis between magnetic resonance imaging-based anatomical assessment and behavioral outcome in a rat contusion model of chronic thoracic spinal cord injury. Front Neurosci. 2022; 16:838786.
|
| [18] |
Hu R, Zhou J, Luo C, et al. Glial scar and neuroregeneration: histological, functional, and magnetic resonance imaging analysis in chronic spinal cord injury. J Neurosurg Spine. 2010; 13(2): 169-180.
|
| [19] |
Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics. 2012; 16(5): 284-287.
|
| [20] |
Young MD, Wakefield MJ, Smyth GK, Oshlack A. Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. 2010; 11(2):R14.
|
| [21] |
Kumar L, Futschik ME. Mfuzz: a software package for soft clustering of microarray data. Bioinformation. 2007; 2(1): 5-7.
|
| [22] |
Frantsuzov R, Mondal S, Walsh CM, Reynolds JP, Dooley D, MacManus DB. A finite element model of contusion spinal cord injury in rodents. J Mech Behav Biomed Mater. 2023; 142:105856.
|
| [23] |
Lam CJ, Assinck P, Liu J, Tetzlaff W, Oxland TR. Impact depth and the interaction with impact speed affect the severity of contusion spinal cord injury in rats. J Neurotrauma. 2014; 31(24): 1985-1997.
|
| [24] |
Orr MB, Simkin J, Bailey WM, et al. Compression decreases anatomical and functional recovery and alters inflammation after contusive spinal cord injury. J Neurotrauma. 2017; 34(15): 2342-2352.
|
| [25] |
Forgione N, Karadimas SK, Foltz WD, Satkunendrarajah K, Lip A, Fehlings MG. Bilateral contusion-compression model of incomplete traumatic cervical spinal cord injury. J Neurotrauma. 2014; 31(21): 1776-1788.
|
| [26] |
Sjovold SG, Mattucci SF, Choo AM, et al. Histological effects of residual compression sustained for 60 minutes at different depths in a novel rat spinal cord injury contusion model. J Neurotrauma. 2013; 30(15): 1374-1384.
|
| [27] |
Okon EB, Streijger F, Lee JH, Anderson LM, Russell AK, Kwon BK. Intraparenchymal microdialysis after acute spinal cord injury reveals differential metabolic responses to contusive versus compressive mechanisms of injury. J Neurotrauma. 2013; 30(18): 1564-1576.
|
| [28] |
Ma M, Basso DM, Walters P, Stokes BT, Jakeman LB. Behavioral and histological outcomes following graded spinal cord contusion injury in the C57Bl/6 mouse. Exp Neurol. 2001; 169(2): 239-254.
|
| [29] |
Kjell J, Olson L. Rat models of spinal cord injury: from pathology to potential therapies. Dis Model Mech. 2016; 9(10): 1125-1137.
|
| [30] |
Soni KK, Hwang J, Ramalingam M, et al. Endoplasmic reticulum stress causing apoptosis in a mouse model of an ischemic spinal cord injury. Int J Mol Sci. 2023; 24(2).
|
| [31] |
Ohri SS, Maddie MA, Zhao Y, Qiu MS, Hetman M, Whittemore SR. Attenuating the endoplasmic reticulum stress response improves functional recovery after spinal cord injury. Glia. 2011; 59(10): 1489-1502.
|
| [32] |
Hellenbrand DJ, Quinn CM, Piper ZJ, Morehouse CN, Fixel JA, Hanna AS. Inflammation after spinal cord injury: a review of the critical timeline of signaling cues and cellular infiltration. J Neuroinflammation. 2021; 18(1):284.
|
| [33] |
Bisicchia E, Mastrantonio R, Nobili A, et al. Restoration of ER proteostasis attenuates remote apoptotic cell death after spinal cord injury by reducing autophagosome overload. Cell Death Dis. 2022; 13(4):381.
|
| [34] |
Hu X, Xu W, Ren Y, et al. Spinal cord injury: molecular mechanisms and therapeutic interventions. Signal Transduct Target Ther. 2023; 8(1):245.
|
| [35] |
Song Q, Cui Q, Sun S, Wang Y, Yuan Y, Zhang L. Crosstalk between cell death and spinal cord injury: neurology and therapy. Mol Neurobiol. 2024; 61(12): 10271-10287.
|
| [36] |
Geng H, Li Z, Li Z, et al. Restoring neuronal iron homeostasis revitalizes neurogenesis after spinal cord injury. Proc Natl Acad Sci U S A. 2023; 120(46):e2220300120.
|
| [37] |
Li E, Yan R, Yan K, et al. Single-cell RNA sequencing reveals the role of immune-related autophagy in spinal cord injury in rats. Front Immunol. 2022; 13:987344.
|
| [38] |
Skinnider MA, Gautier M, Teo AYY, et al. Single-cell and spatial atlases of spinal cord injury in the Tabulae Paralytica. Nature. 2024; 631(8019): 150-163.
|
| [39] |
Li C, Wu Z, Zhou L, 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.
|
RIGHTS & PERMISSIONS
2026 The Author(s). Animal Models and Experimental Medicine published by John Wiley & Sons Australia, Ltd on behalf of The Chinese Association for Laboratory Animal Sciences.