Haoru Dong , Xingyu Chen , Longnian Zhou , Yiming Tao , Jian Yu , Rong Xie
{"title":"不同脊髓损伤模型基因表达谱的比较","authors":"Haoru Dong , Xingyu Chen , Longnian Zhou , Yiming Tao , Jian Yu , Rong Xie","doi":"10.1016/j.jnrt.2023.100082","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Spinal cord injury (SCI) is a devastating disease with no clear molecular mechanisms or effective treatments. Murine models of SCI have been widely used to explore its pathogenesis.</p></div><div><h3>Methods</h3><p>In this study, a comprehensive bioinformatic analysis using GEO datasets was performed to evaluate the characteristics of different SCI models.</p></div><div><h3>Results</h3><p>We found that the contusion model was similar to the compression model, with inflammation and apoptosis significantly enriched, while more complex biological processes existed in hemisection and transection model. Inflammatory markers can be used as a primary evaluation index of SCI models not only in the acute and subacute phases, but also in the chronic phase. In the meantime, apoptosis markers are more suitable for evaluating mouse SCI models while inflammatory markers are more suitable for rat SCI models. In addition, SCI models with different ages, genders, injury positions, and injury levels were also analyzed.</p></div><div><h3>Conclusion</h3><p>Our findings indicate that SCI is a heterogeneous disease and play an instructive role in model selecting.</p></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2324242623000426/pdfft?md5=09838a6ad71d3df54a93f439d74d4685&pid=1-s2.0-S2324242623000426-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Comparison on gene expression profiles between different models of spinal cord injury\",\"authors\":\"Haoru Dong , Xingyu Chen , Longnian Zhou , Yiming Tao , Jian Yu , Rong Xie\",\"doi\":\"10.1016/j.jnrt.2023.100082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Spinal cord injury (SCI) is a devastating disease with no clear molecular mechanisms or effective treatments. Murine models of SCI have been widely used to explore its pathogenesis.</p></div><div><h3>Methods</h3><p>In this study, a comprehensive bioinformatic analysis using GEO datasets was performed to evaluate the characteristics of different SCI models.</p></div><div><h3>Results</h3><p>We found that the contusion model was similar to the compression model, with inflammation and apoptosis significantly enriched, while more complex biological processes existed in hemisection and transection model. Inflammatory markers can be used as a primary evaluation index of SCI models not only in the acute and subacute phases, but also in the chronic phase. In the meantime, apoptosis markers are more suitable for evaluating mouse SCI models while inflammatory markers are more suitable for rat SCI models. In addition, SCI models with different ages, genders, injury positions, and injury levels were also analyzed.</p></div><div><h3>Conclusion</h3><p>Our findings indicate that SCI is a heterogeneous disease and play an instructive role in model selecting.</p></div>\",\"PeriodicalId\":44709,\"journal\":{\"name\":\"Journal of Neurorestoratology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2324242623000426/pdfft?md5=09838a6ad71d3df54a93f439d74d4685&pid=1-s2.0-S2324242623000426-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurorestoratology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2324242623000426\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurorestoratology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2324242623000426","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Comparison on gene expression profiles between different models of spinal cord injury
Background
Spinal cord injury (SCI) is a devastating disease with no clear molecular mechanisms or effective treatments. Murine models of SCI have been widely used to explore its pathogenesis.
Methods
In this study, a comprehensive bioinformatic analysis using GEO datasets was performed to evaluate the characteristics of different SCI models.
Results
We found that the contusion model was similar to the compression model, with inflammation and apoptosis significantly enriched, while more complex biological processes existed in hemisection and transection model. Inflammatory markers can be used as a primary evaluation index of SCI models not only in the acute and subacute phases, but also in the chronic phase. In the meantime, apoptosis markers are more suitable for evaluating mouse SCI models while inflammatory markers are more suitable for rat SCI models. In addition, SCI models with different ages, genders, injury positions, and injury levels were also analyzed.
Conclusion
Our findings indicate that SCI is a heterogeneous disease and play an instructive role in model selecting.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
