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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PJN</journal-id>
<journal-id journal-id-type="publisher-id">Premier Journal of Neuroscience</journal-id>
<journal-id journal-id-type="pmc">PJN</journal-id>
<journal-title-group>
<journal-title>PJ Neuroscience</journal-title>
</journal-title-group>
<issn pub-type="epub">2978-0020</issn>
<publisher>
<publisher-name>Premier Science</publisher-name>
<publisher-loc>London, UK</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.70389/PJN.100008</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>REVIEW</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Cognitive science</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Social sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Sensory perception</subject><subj-group><subject>Hallucinations</subject></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Social sciences</subject><subj-group><subject>Linguistics</subject><subj-group><subject>Grammar</subject><subj-group><subject>Phonology</subject><subj-group><subject>Syllables</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Engineering and technology</subject><subj-group><subject>Signal processing</subject><subj-group><subject>Speech signal processing</subject></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Cognitive science</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Social sciences</subject><subj-group><subject>Psychology</subject><subj-group><subject>Cognitive psychology</subject><subj-group><subject>Perception</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Sensory perception</subject></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Mental health and psychiatry</subject><subj-group><subject>Schizophrenia</subject></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Bioassays and physiological analysis</subject><subj-group><subject>Electrophysiological techniques</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Electrophysiology</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Brain mapping</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Clinical medicine</subject><subj-group><subject>Clinical neurophysiology</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Imaging techniques</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject><subj-group><subject>Event-related potentials</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Cell biology</subject><subj-group><subject>Cellular types</subject><subj-group><subject>Animal cells</subject><subj-group><subject>Neurons</subject><subj-group><subject>Interneurons</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Cellular neuroscience</subject><subj-group><subject>Neurons</subject><subj-group><subject>Interneurons</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Bioassays and physiological analysis</subject><subj-group><subject>Electrophysiological techniques</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Electrophysiology</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neurophysiology</subject><subj-group><subject>Brain electrophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Brain mapping</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Clinical medicine</subject><subj-group><subject>Clinical neurophysiology</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Imaging techniques</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Neuroscience</subject><subj-group><subject>Neuroimaging</subject><subj-group><subject>Electroencephalography</subject></subj-group></subj-group></subj-group></subj-group>
</article-categories>
<title-group>
<article-title>A Comprehensive Overview of Spinal Cord Injury (SCI) Experimental Models</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6559-5100</contrib-id>
<name>
<surname>Olushanu</surname>
<given-names>Modinat</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/Writing-original-draft/">Writing &#x2013; original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/review-editing/">Review and editing</role>
</contrib>
<aff id="aff001"><institution>Freelance Writer</institution>, <city>London</city>, <country>UK</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor001"><bold>Correspondence to:</bold> Modinat Olushanu, <email>modinat.liadi@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<month>04</month>
<year>2025</year>
</pub-date>
<volume>3</volume>
<issue>1</issue>
<elocation-id>100008</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>01</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>13</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>04</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-year>2025</copyright-year>
<copyright-holder>Modinat Olushanu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.70389/PJS.2025.100008"/>
<abstract>
<p>Spinal cord injury (SCI) is a multifaceted medical condition caused by trauma or disease, leading to sensory, motor, and autonomic dysfunction. The complex pathophysiology of SCI and the difficulties in developing effective treatments have driven the need for diverse experimental models that replicate various aspects of the injury observed in humans. These models are categorized into <italic>in vivo</italic> (animal), ex vivo, and <italic>in vitro</italic> (cellular) systems, each offering unique advantages tailored to specific research goals while also presenting inherent limitations. This review aims to provide a comprehensive overview of these experimental models, emphasizing their critical role in advancing the understanding of SCI mechanisms and facilitating the development of effective therapeutic strategies.</p>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Spinal cord injury</kwd>
<kwd>Experimental models</kwd>
<kwd>Secondary injury cascade</kwd>
<kwd>Contusion models</kwd>
<kwd>Regenerative therapies</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<page-count count="13"/>
</counts>
</article-meta>
</front>
<body>
<sec>
<title><ext-link ext-link-type="uri" xlink:href="https://premierscience.com/wp-content/uploads/2025/03/pjn-25-739.pdf">Source-File: pjn-25-739.pdf</ext-link></title>
</sec>
<sec id="sec001" sec-type="intro">
<title>Introduction</title>
<p>Spinal cord injury (SCI) is a complex condition that profoundly affects various physiological systems, leading to severe impairments in the sensory, motor, and autonomic functions.<sup><xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref></sup> SCI disrupts communication between the brain and body and affects the autonomic nervous system, leading to complications in cardiovascular, respiratory, urinary, gastrointestinal, and sexual functions.<sup><xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref4">4</xref></sup> Furthermore, SCI can lead to contradictory symptoms. For instance, although it generally causes motor paralysis and sensory loss, it can also result in spasticity, a condition characterized by increased muscle tone and exaggerated reflexes.<sup><xref ref-type="bibr" rid="ref5">5</xref></sup></p>
<p>The injury process begins with the primary mechanisms of trauma and involves the mechanical disruption of neural tissues, axons, and blood vessels.<sup><xref ref-type="bibr" rid="ref6">6</xref></sup> This initial insult leads to immediate necrotic damage at the injury site, often accompanied by hemorrhage and edema. However, the extent of the damage is not solely defined by this primary trauma; it is significantly amplified by secondary mechanisms that unfold over the hours, days, and weeks following injury. This secondary injury cascade involves complex molecular and cellular events, including ischemia (restricted blood flow), inflammation, oxidative stress, ionic dysregulation, and excitotoxicity, caused by excessive glutamate release. Together, these processes contribute to widespread neural cell death, demyelination, and scarring, ultimately leading to functional deficits in patients with SCI (<xref ref-type="fig" rid="F1">Figure 1</xref>).<sup><xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref></sup></p>
<fig id="F1" position="float">
<object-id pub-id-type="doi">10.70389/journal.pjn.100008.g001</object-id>
<label>Fig 1</label>
<caption><title>The mechanisms of SCI highlight the progression from primary and secondary injuries to cell death. The diagram illustrates how primary injury triggers necrosis and inflammation, which leads to oxidative stress and ionic dysregulation. These processes contribute to excitotoxicity and ultimately result in cell death. Secondary injury exacerbates these pathways, creating a feedback loop that amplifies damage</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/03/pjn-25-739-Figure-1.jpg?">Figure 1</ext-link></p>
</fig>
<p>Secondary injury mechanisms are interconnected and self-perpetuating, resulting in progressive damage.<sup><xref ref-type="bibr" rid="ref9">9</xref></sup> Inflammation exhibits a dual nature: while crucial for removing cellular debris, it releases pro-inflammatory cytokines and reactive oxygen species, exacerbating tissue damage.<sup><xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref></sup> Oxidative stress, caused by an imbalance between free radicals and antioxidants, compromises cellular components including lipids, proteins, and DNA.<sup><xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref></sup> Mitochondrial dysfunction impairs energy production and initiates apoptotic pathways.<sup><xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref></sup> The accumulation of calcium ions within neurons disrupts cellular functions and contributes to neuronal death. Despite these deleterious mechanisms, certain factors may have regenerative potential. Specific inflammatory signals can stimulate the activation of endogenous neural stem and progenitor cells,<sup><xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>,<xref ref-type="bibr" rid="ref19">19</xref></sup> which migrate to the injury site and differentiate into neurons and glial cells. However, their regenerative potential remains insufficient without therapeutic intervention.<sup><xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref16">16</xref>,<xref ref-type="bibr" rid="ref20">20</xref></sup> In SCI models, endogenous NSPCs are activated in the neural tissue adjacent to the injury and migrate to the epicenter.<sup><xref ref-type="bibr" rid="ref21">21</xref></sup> Although NSPCs can differentiate into functional neurons <italic>in vitro</italic>, their <italic>in vivo</italic> neuronal differentiation is limited. Nakagomi et al. showed that in a stroke model, nestin-positive cells from the stroke-affected cortex migrated to the peri-infarct area and differentiated into glial cells; however, neuronal differentiation was not detected <italic>in vivo</italic>,<sup><xref ref-type="bibr" rid="ref22">22</xref></sup> highlighting the influence of the microenvironment on NSPC fate.</p>
<p>Current research emphasizes targeting multiple pathways within the secondary injury cascade as single-mechanism approaches may not yield substantial clinical benefits.<sup><xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref25">25</xref>,<xref ref-type="bibr" rid="ref26">26</xref></sup> Therapeutic interventions targeting inflammation, oxidative stress, and excitotoxicity show potential in preclinical studies,<sup><xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref></sup> including anti-inflammatory drugs, antioxidants, calcium channel blockers, and neuroprotective agents. Regenerative therapies, including stem cell transplantation, gene therapy, and bioengineered scaffolds, aim to enhance neural tissue repair.<sup><xref ref-type="bibr" rid="ref23">23</xref>,<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref></sup></p>
<p>The complexity of SCI pathophysiology requires diverse laboratory models to investigate its mechanisms and evaluate interventions.<sup><xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref29">29</xref></sup> Animal models are categorized by injury conditions like contusion, compression, dislocation, transection, or chemical damage.<sup><xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref30">30</xref>,<xref ref-type="bibr" rid="ref31">31</xref></sup> Rodents are widely used for accessibility, cost-effectiveness, and genetic manipulability,<sup><xref ref-type="bibr" rid="ref32">32</xref></sup> while larger animals, including primates, porcine models, and canines, better approximate human SCI characteristics.<sup><xref ref-type="bibr" rid="ref29">29</xref>,<xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref34">34</xref></sup> Each model provides insights into different aspects of SCI pathology.</p>
<p>Animal models have helped to identify therapeutic targets and evaluate experimental interventions, including pharmacological agents, stem cells, and neuroprosthetics. These preclinical studies have established the foundation for clinical trials, although translation to humans remains challenging owing to biological differences. Ongoing advances in understanding SCI pathophysiology and developing innovative therapies offer promise for improving outcomes in affected individuals.</p>
</sec>
<sec id="sec002">
<title>Methodology</title>
<p>A systematic literature review was conducted to construct a comprehensive overview of experimental SCI models. This review aimed to collect, synthesize, and critically evaluate the existing <italic>in vivo</italic>, ex vivo, and <italic>in vitro</italic> SCI models, emphasizing their translational relevance, experimental utility, and limitations.</p>
<sec id="sec002-1">
<title>Search Strategy and Sources</title>
<p>The databases PubMed, Web of Science, Scopus, and Google Scholar were queried using combinations of the following keywords: &#x201C;<italic>spinal cord injury</italic>,&#x201D; &#x201C;<italic>SCI models</italic>,&#x201D; &#x201C;<italic>contusion model</italic>,&#x201D; &#x201C;<italic>compression model</italic>,&#x201D; &#x201C;<italic>transection</italic>,&#x201D; &#x201C;<italic>organotypic culture</italic>,&#x201D; &#x201C;<italic>cell lines</italic>,&#x201D; &#x201C;<italic>3D co-culture</italic>,&#x201D; &#x201C;<italic>organ-on-chip</italic>,&#x201D; &#x201C;<italic>ex vivo</italic>,&#x201D; &#x201C;<italic>in vitro</italic>,&#x201D; &#x201C;<italic>animal model</italic>,&#x201D; &#x201C;<italic>rodent</italic>,&#x201D; &#x201C;<italic>primate</italic>,&#x201D; &#x201C;<italic>porcine</italic>,&#x201D; &#x201C;<italic>gene editing</italic>,&#x201D; and &#x201C;<italic>AI diagnostics</italic>.&#x201D;</p>
<sec id="sec002-1-1">
<title>Inclusion Criteria:</title>
<list list-type="bullet">
<list-item><p>Peer-reviewed articles and systematic reviews</p></list-item>
<list-item><p>Studies from 2000 to 2024, with emphasis on the last 10 years</p></list-item>
<list-item><p>Literature focusing on the mechanistic modeling of SCI and/or therapeutic interventions</p></list-item>
<list-item><p>Comparative studies evaluating different SCI models</p></list-item>
</list>
</sec>
<sec id="sec002-1-2">
<title>Exclusion Criteria:</title>
<list list-type="bullet">
<list-item><p>Non-English publications</p></list-item>
<list-item><p>Abstracts, commentaries, and non-peer-reviewed gray literature</p></list-item>
<list-item><p>Studies with insufficient methodological detail</p></list-item>
</list>
</sec>
</sec>
<sec id="sec002-2">
<title>Selection and Analysis</title>
<p>In total, 1098 records were identified. After removing duplicates and screening the titles and abstracts, 234 articles were selected for full-text review. Of these, 119 were included based on relevance and methodological quality. The models were evaluated for replicability, cost, ethical feasibility, translational relevance, and capacity to mimic the key pathophysiological features of human SCI.</p>
</sec>
</sec>
<sec id="sec003">
<title><italic>In Vivo</italic> Models</title>
<p><italic>In vivo</italic> models using live animals are essential to replicate SCI&#x2019;s mechanical and physiological aspects of SCI. Rodent models are invaluable for understanding mechanisms and evaluating therapeutic interventions.<sup><xref ref-type="bibr" rid="ref28">28</xref></sup> Although rodents are most commonly used, larger animals, such as pigs and monkeys, are employed for translational research.<sup><xref ref-type="bibr" rid="ref33">33</xref>,<xref ref-type="bibr" rid="ref35">35</xref></sup></p>
<p>The choice of species influences translational potential. Rodents are preferred for cost-effectiveness and genetic modifiability; however, their spinal cord size and immune responses differ from those of humans. Larger animals offer better anatomical similarities to humans despite ethical and cost challenges. Selecting appropriate species and models is crucial for research advancement. SCI models provide tools to explore injury and repair mechanisms through transection, hemisection, chemical lesions, and ischemic models. Although promising results exist, the complexity of SCI requires tailored approaches. Integrating insights from various models can help advance therapeutic interventions (<xref ref-type="table" rid="T1">Table 1</xref>).<sup><xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref36">36</xref>,<xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref39">39</xref>,<xref ref-type="bibr" rid="ref40">40</xref></sup></p>
<table-wrap id="T1">
<label>Table 1</label>
<caption>
<title>Comparative analysis of animal models in SCI research</title>
</caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Species</th>
<th valign="top" align="left">Anatomical/Physiological Features</th>
<th valign="top" align="left">Advantages</th>
<th valign="top" align="left">Limitations</th>
<th valign="top" align="left">Common Applications</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Rodents (Mice/Rats)</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Small spinal cord size</p></list-item>
<list-item><p>Basic anatomical similarities</p></list-item>
<list-item><p>Different immune response</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Cost-effective</p></list-item>
<list-item><p>Easy handling</p></list-item>
<list-item><p>Genetic modification possible</p></list-item>
<list-item><p>Large sample sizes feasible</p></list-item>
<list-item><p>Well-established protocols</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Small size limits surgical precision</p></list-item>
<list-item><p>Different immune response</p></list-item>
<list-item><p>Limited behavioral complexity</p></list-item>
<list-item><p>Anatomical differences from humans</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Initial screening studies</p></list-item>
<list-item><p>Genetic studies</p></list-item>
<list-item><p>Basic mechanism research</p></list-item>
<list-item><p>Drug testing</p></list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">Pigs</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Similar cord size to humans</p></list-item>
<list-item><p>Comparable immune response</p></list-item>
<list-item><p>Similar anatomical features</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Size comparable to humans</p></list-item>
<list-item><p>Similar immune responses</p></list-item>
<list-item><p>Good anatomical correlation</p></list-item>
<list-item><p>Suitable for surgical technique development</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Higher costs</p></list-item>
<list-item><p>Complex handling</p></list-item>
<list-item><p>Limited genetic tools</p></list-item>
<list-item><p>Space requirements</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Surgical technique validation</p></list-item>
<list-item><p>Device testing</p></list-item>
<list-item><p>Translational studies</p></list-item>
<list-item><p>Safety assessments</p></list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">Non-human Primates</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Most similar to humans</p></list-item>
<list-item><p>Complex neural systems</p></list-item>
<list-item><p>Similar immune response</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Closest to human anatomy</p></list-item>
<list-item><p>Similar immune system</p></list-item>
<list-item><p>Complex behavioral assessment possible</p></list-item>
<list-item><p>High translational value</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Highest costs</p></list-item>
<list-item><p>Ethical considerations</p></list-item>
<list-item><p>Limited availability</p></list-item>
<list-item><p>Complex regulatory requirements</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Final validation studies</p></list-item>
<list-item><p>Complex behavioral studies</p></list-item>
<list-item><p>Therapeutic translation</p></list-item>
<list-item><p>Clinical technique development</p></list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">Dogs</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Intermediate cord size</p></list-item>
<list-item><p>Natural SCI occurrence</p></list-item>
<list-item><p>Similar pathophysiology</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Naturally occurring SCI models</p></list-item>
<list-item><p>Good size for surgical practice</p></list-item>
<list-item><p>Well-documented recovery patterns</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Ethical considerations</p></list-item>
<list-item><p>Genetic variability</p></list-item>
<list-item><p>Cost considerations</p></list-item>
<list-item><p>Limited control over injury type</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Natural injury studies</p></list-item>
<list-item><p>Long-term recovery studies</p></list-item>
<list-item><p>Rehabilitation research</p></list-item>
</list>
</td>
</tr>
<tr>
<td valign="top" align="left">Cats</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Well-studied nervous system</p></list-item>
<list-item><p>Good size for manipulation</p></list-item>
<list-item><p>Complex motor behavior</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Established neural circuitry knowledge</p></list-item>
<list-item><p>Good for motor studies- Moderate size</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Limited genetic tools</p></list-item>
<list-item><p>Ethical considerations- Less translational than larger models</p></list-item>
</list>
</td>
<td valign="top" align="left">
<list list-type="bullet">
<list-item><p>Motor control studies</p></list-item>
<list-item><p>Neural circuit research</p></list-item>
<list-item><p>Locomotion studies</p></list-item>
</list>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="sec003-1">
<title>Types of <italic>In Vivo</italic> Models</title>
<sec id="sec003-1-1">
<title>Contusion Models</title>
<p>Contusion SCI models provide a framework for studying the mechanisms and therapeutic interventions. The Allen weight-drop technique involves releasing a weight to induce injuries showing hemorrhagic necrosis, ischemia, inflammation, and central cavitation, which characterize human SCI pathology.<sup><xref ref-type="bibr" rid="ref31">31</xref></sup> This method controls the compression and velocity variables.<sup><xref ref-type="bibr" rid="ref41">41</xref></sup> Computer-controlled devices, such as ESCID, enabled precise displacement and impact modulation in murine models.<sup><xref ref-type="bibr" rid="ref42">42</xref></sup> Pneumatic impactors independently regulate compression and contact velocity, generating distinct injury severities.<sup><xref ref-type="bibr" rid="ref43">43</xref></sup> These refinements enhance our understanding of structural damage and functional impairment. Hemorrhagic necrosis correlates with contact velocity, whereas neuronal conduction loss is related to the degree of compression.<sup><xref ref-type="bibr" rid="ref43">43</xref></sup> These insights demonstrate the complexity of SCI pathology and the importance of multiparameter models.<sup><xref ref-type="bibr" rid="ref28">28</xref></sup></p>
<p>Contusion models reveal cellular and molecular SCI responses, simulating spinal canal occlusion, and promoting specific cellular proliferation. McDonough et al. showed that contusion injuries affect the rostrocaudal extent of the spinal cord, causing lateral region proliferation with higher numbers of oligodendrocyte-fated cells compared to transection models.<sup><xref ref-type="bibr" rid="ref44">44</xref></sup> Immunohistochemical analyses identified these changes and evaluated therapeutic strategies (<xref ref-type="fig" rid="F2">Figure 2</xref>).<sup><xref ref-type="bibr" rid="ref45">45</xref></sup></p>
<fig id="F2" position="float">
<object-id pub-id-type="doi">10.70389/journal.pjn.100008.g002</object-id>
<label>Fig 2</label>
<caption><title>Experimental spinal cord contusion injury model and pathological progression. The left panel illustrates the contusion model setup, highlighting key parameters such as the impact force (200&#x2013;250 kdyn), duration (20 ms), height (12.5 mm), and tip diameter (2.5 mm). The right panel depicts the pathological timeline following SCI: immediate effects include mechanical impact, hemorrhage, and tissue disruption; within 24&#x2013;48 h, secondary injury mechanisms such as edema, inflammation, and cell death occur; by 7&#x2013;14 days, chronic phases manifest with cavity formation, glial scar development, and axon degeneration</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/03/pjn-25-739-Figure-2.jpg?">Figure 2</ext-link></p>
</fig>
<p>Recent studies have also highlighted the evolution of contusion models. Smith et al. used the Infinite Horizon impactor to analyze microvascular changes post-injury.<sup><xref ref-type="bibr" rid="ref46">46</xref></sup> A 2024 study using the NYU Impactor monitored motor potentials, demonstrating its utility for tracking recovery.<sup><xref ref-type="bibr" rid="ref47">47</xref></sup> Studies have examined the influence of impact variables on injury severity.<sup><xref ref-type="bibr" rid="ref48">48</xref></sup> A 2019 review linked human SCI to animal model insights.<sup><xref ref-type="bibr" rid="ref49">49</xref></sup></p>
<p>Contusion models effectively replicate human SCI pathology, but cannot capture all injury types. Distraction and dislocation models produce unique axonal damage patterns that are absent in contusion injuries.<sup><xref ref-type="bibr" rid="ref30">30</xref></sup></p>
<p>Contusion SCI models are invaluable for replicating the clinical features of human SCI and testing therapies. However, integrating other models may be necessary for a comprehensive understanding of SCI pathology and treatment.</p>
</sec>
<sec id="sec003-1-2">
<title>Compression Models</title>
<p>Compression models simulate spinal canal occlusion and secondary injury mechanisms, including ischemia, hemorrhagic necrosis, and inflammation.<sup><xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref50">50</xref></sup> Early decompression (within 6&#x2013;12 h in rats, 8 h in humans) correlates with improved recovery outcomes,<sup><xref ref-type="bibr" rid="ref51">51</xref>,<xref ref-type="bibr" rid="ref52">52</xref>,<xref ref-type="bibr" rid="ref53">53</xref></sup> emphasizing timely surgical intervention.</p>
<p>Clip compression models provide reproducible methods for studying secondary injury mechanisms, showing dose-response relationships between clip forces and injury severity in rats.<sup><xref ref-type="bibr" rid="ref54">54</xref></sup> Adapted for cervical SCI and mice, these models enable the study of cellular mechanisms and therapeutic interventions.<sup><xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref56">56</xref></sup></p>
<p>Balloon compression models use catheter inflation in the epidural space to regulate compression duration and severity.<sup><xref ref-type="bibr" rid="ref57">57</xref></sup> Using varying saline volumes, 15 &#x03BC;L was found to induce recoverable paraplegia in rats. Finite element modeling showed the effects of posterior compression on spinal artery perfusion and ischemic risks,<sup><xref ref-type="bibr" rid="ref58">58</xref></sup> helping to understand SCI pathophysiology (<xref ref-type="fig" rid="F3">Figures 3</xref> and <xref ref-type="fig" rid="F4">4</xref>).<sup><xref ref-type="bibr" rid="ref50">50</xref>,<xref ref-type="bibr" rid="ref59">59</xref></sup></p>
<fig id="F3" position="float">
<object-id pub-id-type="doi">10.70389/journal.pjn.100008.g003</object-id>
<label>Fig 3</label>
<caption><title>Comparison of spinal cord compression models: Clip, Balloon, and Solid Spacer. The top panel shows the parameters and advantages of each model. The Clip model delivers acute, direct compression with precise force control (20&#x2013;50 g, 1&#x2013;5 min), making it suitable for acute injury studies. The Balloon model provides gradual compression (15&#x2013;20 &#x00B5;L volume, 1&#x2013;2 atm pressure, 5&#x2013;10 min duration) and minimal tissue exposure, which is ideal for progressive compression research. The Solid Spacer model applies chronic compression (2&#x2013;4 mm biocompatible spacer) with consistent pressure, making it suitable for long-term studies. The bottom panel presents a comparative table detailing each model&#x2019;s application time, force control, best use, and technical difficulties</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/03/pjn-25-739-Figure-3.jpg?">Figure 3</ext-link></p>
</fig>
<fig id="F4" position="float">
<object-id pub-id-type="doi">10.70389/journal.pjn.100008.g004</object-id>
<label>Fig 4</label>
<caption><title>Pathological changes observed in different spinal cord compression models over time. The Clip model demonstrates acute (0&#x2013;24 h) and subacute (24&#x2013;72 h) phases characterized by immediate hemorrhage, bilateral damage, acute inflammation, and central necrosis. The Balloon model shows early and late phases featuring gradual compression, central cavity formation, progressive gliosis, and vascular compromise. The Solid Spacer model induces chronic and long-term changes, including progressive demyelination, tissue atrophy, and fibrotic changes. The temporal progression bar at the bottom highlights distinct pathological phases, from the acute stage (0 h) to the chronic stage (up to 4 weeks)</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/03/pjn-25-739-Figure-4.jpg?">Figure 4</ext-link></p>
</fig>
<p>Solid spacer techniques simulate chronic spinal cord compression in animal models. Water-absorbable polyurethane polymer implantation in rats induces cervical compression and reduces neurological function,<sup><xref ref-type="bibr" rid="ref60">60</xref>,<xref ref-type="bibr" rid="ref61">61</xref></sup> whereas BMP implantation in rabbits shows no severe intramedullary pathologies.<sup><xref ref-type="bibr" rid="ref62">62</xref></sup> These methods reveal the effects of compression on vascular and neurological outcomes.</p>
<p>Expanding polymer models present an approach for studying non-traumatic SCI through gradual pressure progression, aligned with conditions such as tumors and degenerative disorders.<sup><xref ref-type="bibr" rid="ref28">28</xref></sup> Polymer scaffolds support both injury modeling and treatment strategies.<sup><xref ref-type="bibr" rid="ref63">63</xref></sup> Spinal cord compression varies with the animal material and apparatus parameters.<sup><xref ref-type="bibr" rid="ref64">64</xref></sup> Studies have shown that axon disruption in contusion injuries results from tissue extrusion owing to parenchymal viscoelastic distortion.<sup><xref ref-type="bibr" rid="ref65">65</xref></sup> The viscous response is crucial for brain injuries and SCIs.<sup><xref ref-type="bibr" rid="ref66">66</xref></sup> Impact energy, weight-height combination, and biological variables influence the severity of compression. Posterior compression increases the risk of ischemia owing to reduced arterial flow.<sup><xref ref-type="bibr" rid="ref31">31</xref>,<xref ref-type="bibr" rid="ref58">58</xref></sup></p>
</sec>
<sec id="sec003-1-3">
<title>Transection Models</title>
<p>Complete and partial spinal cord transection models help to study axonal regeneration and therapeutic intervention through well-defined lesion sites.<sup><xref ref-type="bibr" rid="ref37">37</xref>,<xref ref-type="bibr" rid="ref39">39</xref></sup> In complete transections, cAMP injections, cell grafts, and neurotrophic factors promote motor axon regeneration beyond lesions.<sup><xref ref-type="bibr" rid="ref37">37</xref></sup> Olfactory ensheathing glial transplantation enables axon regrowth and motor function improvements.<sup><xref ref-type="bibr" rid="ref39">39</xref></sup> However, transplant success varies by injury location; olfactory bulb ensheathing cells support regeneration selectively, but fail with abducens interneurons.<sup><xref ref-type="bibr" rid="ref36">36</xref></sup></p>
<p>Hemisection models involve cutting one spinal cord side to study lateralized injury mechanisms in rodents and primates.<sup><xref ref-type="bibr" rid="ref40">40</xref>,<xref ref-type="bibr" rid="ref67">67</xref>,<xref ref-type="bibr" rid="ref68">68</xref></sup> Their clinical relevance is limited because hemisection-related Brown-Sequard syndrome is rarer than central cord syndrome in humans, with similar outcomes.<sup><xref ref-type="bibr" rid="ref40">40</xref></sup> This emphasizes the need to develop clinically relevant compression and contusion models that better reflect human SCI.<sup><xref ref-type="bibr" rid="ref31">31</xref></sup> Non-human primate models help bridge rodent studies with human trials (<xref ref-type="fig" rid="F5">Figure 5</xref>).<sup><xref ref-type="bibr" rid="ref67">67</xref>,<xref ref-type="bibr" rid="ref69">69</xref></sup></p>
<fig id="F5" position="float">
<object-id pub-id-type="doi">10.70389/journal.pjn.100008.g005</object-id>
<label>Fig 5</label>
<caption><title>Spinal cord transection models include complete transection, hemisection, and dorsal hemisection models, each with distinct features, cross-sectional views, technical specifications, and research applications. Complete transection involves a full cord-width cut through the gray and white matter, typically creating a 2&#x2013;3 mm gap at the T8&#x2013;T10 level, and is commonly used for regeneration studies and complete paralysis models. Hemisection involves unilateral damage, affecting half of the cord while preserving function on the contralateral side. It is performed using a midline reference with precise depth control to study the compensatory mechanisms and partial recovery. The dorsal Hemisection targets only the dorsal columns, sparing motor function, with depth-controlled cuts to focus on sensory tract studies and neuropathic pain research</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/03/pjn-25-739-Figure-5.jpg?">Figure 5</ext-link></p>
</fig>
<p>Chemical and electrolytic lesion models provide tools to target specific spinal cord regions and cell populations. Electrolytic lesions of the A7 catecholamine cell group have been shown to reduce dopamine-&#x03B2;-hydroxylase-immunoreactive axons in specific regions.<sup><xref ref-type="bibr" rid="ref70">70</xref></sup> These models differ from mechanical injury models in terms of cellular and molecular responses. Contusion and compression models induce proliferation across the rostrocaudal spinal cord, whereas transection causes localized proliferation.<sup><xref ref-type="bibr" rid="ref44">44</xref></sup> These variations highlight the importance of selecting appropriate models, as different injuries elicit distinct responses (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<object-id pub-id-type="doi">10.70389/journal.pjn.100008.g006</object-id>
<label>Fig 6</label>
<caption><title>Chemical and electrolytic spinal cord lesion models are illustrated along with their mechanisms, lesion patterns, and comparative analysis. Chemical lesion models involve the direct injection of agents such as kainate, glutamate, ethidium bromide, or lysolecithin, resulting in a diffuse spread and gradient effect due to chemical toxicity. Electrolytic lesion models utilize electrode placement with controlled parameters (current, 1&#x2013;2 mA; duration, 10&#x2013;20 s; depth control), producing precise and defined lesion boundaries through current-induced damage. The comparison table highlights key differences, with chemical models offering variable size control and progressive lesion development, whereas electrolytic models provide high precision and immediate effects. Key considerations emphasize the importance of the agent concentration and diffusion patterns for chemical models and electrode positioning for electrolytic models</title></caption>
<p><ext-link ext-link-type="uri" xlink:href="https://i0.wp.com/premierscience.com/wp-content/uploads/2025/03/pjn-25-739-Figure-6.jpg?">Figure 6</ext-link></p>
</fig>
<p>Ischemic models of SCI through spinal cord blood supply occlusion provide insight into vascular injury.<sup><xref ref-type="bibr" rid="ref38">38</xref></sup> While these models study ischemia, compression and contusion models better replicate human SCI features, such as hemorrhagic necrosis and cavitation.<sup><xref ref-type="bibr" rid="ref31">31</xref></sup></p>
<p>Experimental SCI modeling is essential for understanding injury mechanisms and evaluating treatments. <italic>In vivo</italic> models, especially contusion and compression types, remain clinically relevant because they reproduce key human SCI features. Transection models study axonal regeneration, whereas chemical and ischemic models investigate specific pathologies.</p>
<p>However, <italic>in vivo</italic> models cannot fully replicate the heterogeneity of human SCI. Ex vivo systems maintain their native structure while allowing microenvironment manipulation, whereas <italic>in vitro</italic> models provide high-throughput capacity for mechanistic studies. Integrating these approaches enhances experimental rigor, and future advances depend on combining these models to understand the pathophysiology and therapeutic outcomes.</p>
</sec>
</sec>
</sec>
<sec id="sec004">
<title>Ex Vivo Models</title>
<p>Ex vivo SCI models provide platforms for investigating spinal cord dynamics in controlled environments by maintaining extracted tissue in culture systems. These models address the ethical challenges of <italic>in vivo</italic> studies using localized injury response analysis. Weightman et al. demonstrated organotypic slice arrays for replicating cellular responses to injury, including gliosis and nerve fiber outgrowth, thereby reducing invasive procedures.<sup><xref ref-type="bibr" rid="ref71">71</xref></sup> Integrating aligned polylactic acid nanofiber meshes enabled the assessment of the regenerative potential of nanomaterials. Yan et al. developed a micropatterned conductive nanofiber mesh with PCL and NGF, facilitating nerve stem cell differentiation while suppressing astrocyte formation.<sup><xref ref-type="bibr" rid="ref72">72</xref></sup> The aligned nanofibers guided neurite outgrowth, mimicking <italic>in vivo</italic> patterns, and demonstrating translational relevance.</p>
<p>Explant models reveal neural regeneration processes including cell survival, differentiation, migration, and axonal regrowth. Dorsal root ganglia explants have shown that oxidized galectin-1 promotes axonal regeneration and Schwann cell migration.<sup><xref ref-type="bibr" rid="ref73">73</xref></sup> A three-dimensional DRG model has demonstrated the role of the urokinase system in neural cell migration and axonal branching.<sup><xref ref-type="bibr" rid="ref74">74</xref></sup> Studies on Schwann cell migration and axonal regrowth have shown conflicting results regarding the process sequence after nerve transection.<sup><xref ref-type="bibr" rid="ref75">75</xref></sup> Explant models help study neuronal-Schwann cell interactions and nerve regeneration factors.<sup><xref ref-type="bibr" rid="ref76">76</xref>,<xref ref-type="bibr" rid="ref77">77</xref></sup></p>
<p>Human ex vivo spinal cord slice cultures provide a model to study neuronal populations and inflammatory responses. These cultures maintain neuronal subpopulations and preserve the tissue cytoarchitecture.<sup><xref ref-type="bibr" rid="ref78">78</xref>,<xref ref-type="bibr" rid="ref79">79</xref></sup> Ventral horn motoneurons decline after 3 days, while calbindin-positive neurons persist longer.<sup><xref ref-type="bibr" rid="ref80">80</xref></sup> IL-1&#x03B2; can activate endogenous neural progenitors of oligodendrocyte lineage.<sup><xref ref-type="bibr" rid="ref81">81</xref></sup> These models examine disease mechanisms such as neuromyelitis optica through immune cell-cytokine interactions.<sup><xref ref-type="bibr" rid="ref82">82</xref></sup></p>
<p>Ex vivo models, including organotypic slice cultures, offer key advantages. Controlling variables, such as temperature and nutrients, enhances reproducibility and reduces confounding factors. These models are ideal for imaging and drug screening studies while reducing animal use.</p>
<p>However, ex vivo models cannot replicate systemic interactions such as immune responses and hormonal signaling, limiting extrapolation to living organisms. However, the limited survival time of tissue cultures impedes long-term studies. These limitations necessitate combining ex vivo and <italic>in vivo</italic> approaches to understand the pathophysiology of SCI.</p>
</sec>
<sec id="sec005">
<title>In Vitro Models</title>
<p><italic>In vitro</italic> SCI models use isolated cell cultures to investigate cellular and molecular mechanisms of injury and repair. These models provide controlled environments for understanding SCI processes and drug development. <italic>In vitro</italic> approaches include various systems with different applications and limitations.<sup><xref ref-type="bibr" rid="ref83">83</xref>,<xref ref-type="bibr" rid="ref84">84</xref>,<xref ref-type="bibr" rid="ref85">85</xref>,<xref ref-type="bibr" rid="ref86">86</xref></sup></p>
<sec id="sec005-1">
<title>Types of <italic>In Vitro</italic> Models</title>
<sec id="sec005-1-1">
<title>Primary Cell Cultures</title>
<p>Primary cell cultures from spinal cord tissue are used to study cellular responses to SCI. Methods exist for isolating specific cell types: oligodendrocytes and astrocytes from embryonic rat spinal cords;<sup><xref ref-type="bibr" rid="ref87">87</xref></sup> oligodendrocytes from adult human spinal cords;<sup><xref ref-type="bibr" rid="ref88">88</xref></sup> and motor neurons, microglia, and astrocytes from mouse embryonic spinal cord.<sup><xref ref-type="bibr" rid="ref89">89</xref></sup> Primary cultures replicate <italic>in vivo</italic> conditions better than immortalized cell lines,<sup><xref ref-type="bibr" rid="ref90">90</xref>,<xref ref-type="bibr" rid="ref91">91</xref></sup> with astrocyte cultures expressing higher levels of differentiated markers such as GFAP, S100B, AQP4, and ALDH1L1.<sup><xref ref-type="bibr" rid="ref90">90</xref></sup></p>
</sec>
<sec id="sec005-1-2">
<title>Immortalized Cell Lines</title>
<p>Immortalized cell lines, such as PC12 and NSC-34, offer easy maintenance and reproducibility in SCI research. PC12 cells differentiate into neuron-like cells upon NGF exposure,<sup><xref ref-type="bibr" rid="ref92">92</xref></sup> while NSC-34 cells exhibit motor neuron characteristics (Anjum et al. 2024), which is useful for disease modeling.<sup><xref ref-type="bibr" rid="ref93">93</xref></sup> These lines enable high-throughput screening and mechanistic studies.<sup><xref ref-type="bibr" rid="ref94">94</xref>,<xref ref-type="bibr" rid="ref95">95</xref></sup> However, their transformed nature may limit <italic>in vivo</italic> replication, which requires validation with primary cultures. Some cell lines can mimic primary cell responses, such as SV40-immortalized astrocytes showing ATP-induced calcium waves similar to primary astrocytes.<sup><xref ref-type="bibr" rid="ref96">96</xref></sup> Although valuable for research, careful interpretation remains essential for clinical translation.</p>
</sec>
<sec id="sec005-1-3">
<title>Three-Dimensional Co-Culture Systems</title>
<p>Three-dimensional (3D) co-culture systems replicate the native environment of the spinal cord better than two-dimensional (2D) cultures.<sup><xref ref-type="bibr" rid="ref97">97</xref></sup> These systems integrate multiple cells within a 3D matrix to simulate cell-ECM interactions.<sup><xref ref-type="bibr" rid="ref98">98</xref></sup> 3D spinal cord networks showed faster inhibitory synapse maturation and increased activity than 2D cultures. Creating ultrasoft 3D cultures mimicking spinal tissues requires solutions such as microfiber reinforcement.<sup><xref ref-type="bibr" rid="ref97">97</xref></sup> These systems help to model glial scarring and axonal regeneration while evaluating drug efficacy.</p>
</sec>
<sec id="sec005-1-4">
<title>Organ-on-a-Chip Models</title>
<p>Organ-on-a-chip technology has advanced SCI research by integrating spinal cells into microfluidic systems. These platforms simulate <italic>in vivo</italic> conditions, thereby enabling realistic SCI studies. Ao et al. developed a spinal organoid-on-a-chip for nociceptive drug screening,<sup><xref ref-type="bibr" rid="ref99">99</xref></sup> whereas Su et al. created a microfluidic chip mimicking spinal tissues.<sup><xref ref-type="bibr" rid="ref100">100</xref></sup> These systems bridge the gap between <italic>in vitro</italic> and <italic>in vivo</italic> models.</p>
<p><italic>In vitro</italic> SCI models enable precise control of experimental variables and ensure reproducibility. They are cost-effective and are suitable for use in high-throughput studies. However, they lack vascular networks, immune responses, and the structural complexity of <italic>in vivo</italic> systems, which require complementary studies for clinical applications (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2">
<label>Table 2</label>
<caption>
<title>Comparison of <italic>in vivo</italic>, ex vivo, and <italic>in vitro</italic> sci models</title>
</caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Model Type</th>
<th valign="top" align="left">System</th>
<th valign="top" align="left">Key Features</th>
<th valign="top" align="left">Strengths</th>
<th valign="top" align="left">Limitations</th>
<th valign="top" align="left">Common Uses</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="4"><italic>In Vivo</italic></td>
<td valign="top" align="left">Rodents (Mice, Rats)</td>
<td valign="top" align="left">Small size, genetically modifiable</td>
<td valign="top" align="left">Cost-effective, high-throughput, well-established</td>
<td valign="top" align="left">Limited anatomical/functional similarity to humans</td>
<td valign="top" align="left">Mechanistic studies, drug testing, regeneration</td>
</tr>
<tr>
<td valign="top" align="left">Pigs</td>
<td valign="top" align="left">Anatomically similar to humans</td>
<td valign="top" align="left">Good surgical simulation, translational relevance</td>
<td valign="top" align="left">High cost, limited genetic tools</td>
<td valign="top" align="left">Surgical techniques, biomaterials, preclinical validation</td>
</tr>
<tr>
<td valign="top" align="left">Non-human Primates</td>
<td valign="top" align="left">Closest CNS mimicry to humans</td>
<td valign="top" align="left">High behavioral and anatomical fidelity</td>
<td valign="top" align="left">Ethical constraints, regulatory hurdles</td>
<td valign="top" align="left">Complex interventions, behavior and recovery studies</td>
</tr>
<tr>
<td valign="top" align="left">Dogs</td>
<td valign="top" align="left">Naturally occurring SCI</td>
<td valign="top" align="left">Good for chronic and recovery models</td>
<td valign="top" align="left">Ethical concerns, variability</td>
<td valign="top" align="left">Rehabilitation, veterinary SCI models</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Ex Vivo</td>
<td valign="top" align="left">Organotypic Slice Culture</td>
<td valign="top" align="left">Maintains spinal cytoarchitecture</td>
<td valign="top" align="left">Reduces animal use, good for imaging</td>
<td valign="top" align="left">Short tissue viability, no systemic context</td>
<td valign="top" align="left">Injury modeling, neuroprotection, biomaterials testing</td>
</tr>
<tr>
<td valign="top" align="left">Explant Models (e.g., DRG)</td>
<td valign="top" align="left">3D structure preserved</td>
<td valign="top" align="left">Insight into regeneration, axonal behavior</td>
<td valign="top" align="left">Short culture duration, low systemic mimicry</td>
<td valign="top" align="left">Schwann cell/axon interactions, migration studies</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4"><italic>In Vitro</italic></td>
<td valign="top" align="left">Primary Cultures</td>
<td valign="top" align="left">Derived directly from spinal tissue</td>
<td valign="top" align="left">High physiological relevance</td>
<td valign="top" align="left">Labor-intensive, limited scalability</td>
<td valign="top" align="left">Neuronal injury, astrocyte activation, screening</td>
</tr>
<tr>
<td valign="top" align="left">Immortalized Cell Lines (e.g., PC12, NSC-34)</td>
<td valign="top" align="left">Long-lived, consistent behavior</td>
<td valign="top" align="left">High-throughput, easy maintenance</td>
<td valign="top" align="left">Lower physiological relevance</td>
<td valign="top" align="left">Mechanistic assays, neurotoxicity, neurogenesis</td>
</tr>
<tr>
<td valign="top" align="left">3D Co-Culture</td>
<td valign="top" align="left">Matrix-based, multi-cellular</td>
<td valign="top" align="left">Mimics <italic>in vivo</italic> ECM structure, cell-cell signaling</td>
<td valign="top" align="left">Technically complex</td>
<td valign="top" align="left">Axonal growth, glial scarring, intercellular signaling</td>
</tr>
<tr>
<td valign="top" align="left">Organ-on-a-Chip</td>
<td valign="top" align="left">Microfluidics + stem cells/organoids</td>
<td valign="top" align="left">Dynamic conditions, simulation of spinal biomechanics</td>
<td valign="top" align="left">High cost, still emerging tech</td>
<td valign="top" align="left">Personalized drug screening, <italic>in vitro</italic> clinical modeling</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="sec005-2">
<title>Emerging Innovations in SCI Treatment</title>
<p>Emerging innovations in <italic>in vitro</italic> SCI research have overcome the limitations of traditional models by increasing their relevance and potential for clinical translation. These advancements provide enhanced platforms for understanding the mechanisms of injury and for developing therapies. Key approaches include the use of multipotent mesenchymal stem cells (MSCs), induced pluripotent stem cells (iPSCs), bioengineered models, and in silico simulations. MSCs are valuable in SCI research because of their regenerative properties, including neuroprotection, neuronal regeneration, angiogenesis, immunomodulation, and reduction of glial scarring, making them crucial for studying repair processes and testing therapies.<sup><xref ref-type="bibr" rid="ref101">101</xref></sup></p>
<p>iPSCs derived from patient-specific cells can differentiate into spinal cord cell types, including neurons, astrocytes, and oligodendrocytes.<sup><xref ref-type="bibr" rid="ref102">102</xref>,<xref ref-type="bibr" rid="ref103">103</xref></sup> They enable the study of personalized injury responses and genetic factors in SCI progression, helping to develop tailored therapies and testing interventions before clinical application.<sup><xref ref-type="bibr" rid="ref104">104</xref>,<xref ref-type="bibr" rid="ref105">105</xref></sup></p>
<p>Bioengineered models using bioprinted scaffolds and hydrogels replicate the 3D architecture of the spinal cord, allowing the observation of cellular behaviors within a relevant microenvironment.<sup><xref ref-type="bibr" rid="ref106">106</xref>,<xref ref-type="bibr" rid="ref107">107</xref>,<xref ref-type="bibr" rid="ref108">108</xref></sup> By mimicking spinal cord properties, these models provide platforms for studying cell-matrix interactions and drug delivery methods.<sup><xref ref-type="bibr" rid="ref106">106</xref>,<xref ref-type="bibr" rid="ref109">109</xref>,<xref ref-type="bibr" rid="ref110">110</xref>,<xref ref-type="bibr" rid="ref111">111</xref></sup></p>
<p>In silico models use computational simulations to predict SCI progression and treatment outcomes. These models integrate experimental data into streamlined research designs and evaluate therapeutics.<sup><xref ref-type="bibr" rid="ref112">112</xref>,<xref ref-type="bibr" rid="ref113">113</xref></sup> They efficiently studied processes such as axonal degeneration, and assessed the impact of multiple variables on injury progression.<sup><xref ref-type="bibr" rid="ref113">113</xref>,<xref ref-type="bibr" rid="ref114">114</xref></sup></p>
<p>Gene-editing technologies, especially CRISPR-Cas9, further amplify this progress by targeting genes involved in axonal regeneration, inflammation, and cell death, thus promoting neuroprotection and functional recovery.<sup><xref ref-type="bibr" rid="ref115">115</xref>,<xref ref-type="bibr" rid="ref116">116</xref></sup> Engineered stem cells modified through gene editing can enhance remyelination and secrete neurotrophic factors, whereas immune modulation via the genetic suppression of pro-inflammatory pathways reduces secondary damage.<sup><xref ref-type="bibr" rid="ref117">117</xref></sup> Combined with AI, these strategies have become even more potent: AI can identify novel therapeutic gene targets through large-scale data analysis, optimize guide RNA design for improved precision, and enable real-time monitoring of therapeutic effects using biosensors.<sup><xref ref-type="bibr" rid="ref118">118</xref>,<xref ref-type="bibr" rid="ref119">119</xref></sup> Together, these innovations pave the way for highly personalized and adaptive SCI therapies.</p>
</sec>
</sec>
<sec id="sec006" sec-type="conclusions">
<title>Conclusion</title>
<p>The study of SCI requires diverse models to address its complex pathophysiology and to support the development of effective therapeutic strategies. <italic>In vivo</italic>, ex vivo, and <italic>in vitro</italic> models each provide unique advantages for exploring various aspects of SCI, including mechanisms of injury, repair processes, and therapeutic efficacy. <italic>In vivo</italic> models, particularly in rodents and larger animals, remain critical for replicating the physiological and mechanical characteristics of human SCI and understanding systemic factors such as inflammation, vascular responses, and functional recovery. Ex vivo systems, such as organotypic slice cultures and explant models, offer valuable tools for investigating localized cellular responses and regenerative processes within a controlled environment, while reducing reliance on live animals. <italic>In vitro</italic> models, including primary cell cultures, immortalized cell lines, and advanced systems such as organ-on-a-chip technologies, enable precise mechanistic studies and high-throughput screening for drug development.</p>
<p>Integrating emerging innovations such as iPSCs, bioengineered 3D cultures, and in silico simulations has transformed the landscape of SCI research. iPSC-derived platforms provide personalized approaches for disease modeling and therapeutic testing. In contrast, bioengineered systems replicate the structural and mechanical properties of the spinal cord and offer spatially relevant environments for regenerative studies. In silico models further complement experimental approaches by providing predictive insights that streamline experimental design and accelerate therapeutic development. These innovations address the limitations of traditional methods and improve the translational relevance of the preclinical findings.</p>
<p>However, each model has its inherent limitations. <italic>In vivo</italic> systems face inter-species differences and reproducibility challenges, whereas <italic>in vitro</italic> and ex vivo models lack systemic interactions, such as blood flow and immune responses, which are critical to SCI pathophysiology. A multifaceted approach that integrates complementary models is essential for overcoming these challenges. Combining the strengths of diverse methodologies will enable a comprehensive understanding of SCI mechanisms, facilitate the identification of therapeutic targets, and enhance the translation of promising interventions into the clinical setting.</p>
<p>In conclusion, continued advancement and refinement of SCI models and innovative technologies, such as bioengineered platforms, iPSCs, and computational simulations, are promising for improving the accuracy, relevance, and clinical applicability of preclinical research. By leveraging these tools, researchers can bridge the gap between experimental findings and clinical outcomes, ultimately paving the way for novel and effective therapeutic interventions to address the profound impact of SCIs.</p>
</sec>
</body>
<back>
<fn-group>
<fn id="n1" fn-type="other">
<p>Additional material is published online only. To view please visit the journal online.</p>
<p><bold>Cite this as:</bold> Olushanu M. A Comprehensive Overview of Spinal Cord Injury (SCI) Experimental Models. Premier Journal of Neuroscience 2025;3:100008</p>
<p><bold>DOI:</bold> https://doi.org/10.70389/PJN.100008</p>
</fn>
<fn id="n2" fn-type="other">
<p><bold>Ethical approval</bold></p>
<p>N/a</p>
</fn>
<fn id="n3" fn-type="other">
<p><bold>Consent</bold></p>
<p>N/a</p>
</fn>
<fn id="n4" fn-type="other">
<p><bold>Funding</bold></p>
<p>No industry funding</p>
</fn>
<fn id="n5" fn-type="conflict">
<p><bold>Conflicts of interest</bold></p>
<p>N/a</p>
</fn>
<fn id="n6" fn-type="other">
<p><bold>Author contribution</bold></p>
<p>Modinat Olushanu &#x2013; Conceptualization, Writing &#x2013; original draft, review and editing</p>
</fn>
<fn id="n7" fn-type="other">
<p><bold>Guarantor</bold></p>
<p>Modinat Olushanu</p>
</fn>
<fn id="n8" fn-type="other">
<p><bold>Provenance and peer-review</bold></p>
<p>Commissioned and externally peer-reviewed</p>
</fn>
<fn id="n9" fn-type="other">
<p><bold>Data availability statement</bold></p>
<p>N/a</p>
</fn>
</fn-group>
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