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A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica

Sciatica has been widely studied, but the association of sciatica with immune infiltration has not been studied. We aimed to screen key genes and to further investigate the impact of immune infiltration in patients with sciatica. The bioinformatics analyzes were performed based on the GSE150408 data...

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Autores principales: Ma, Tao, Li, Guanhua, Ma, Yuheng, Ren, Zhaoqi, Xie, Houyun, Sun, Chaoyong, Tian, Lei, Zhang, Hao, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970958/
https://www.ncbi.nlm.nih.gov/pubmed/35371219
http://dx.doi.org/10.1155/2022/7372431
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author Ma, Tao
Li, Guanhua
Ma, Yuheng
Ren, Zhaoqi
Xie, Houyun
Sun, Chaoyong
Tian, Lei
Zhang, Hao
Wang, Wei
author_facet Ma, Tao
Li, Guanhua
Ma, Yuheng
Ren, Zhaoqi
Xie, Houyun
Sun, Chaoyong
Tian, Lei
Zhang, Hao
Wang, Wei
author_sort Ma, Tao
collection PubMed
description Sciatica has been widely studied, but the association of sciatica with immune infiltration has not been studied. We aimed to screen key genes and to further investigate the impact of immune infiltration in patients with sciatica. The bioinformatics analyzes were performed based on the GSE150408 dataset. Subsequently, we used CIBERSORT to study the immune infiltration in the disease group. Results showed that 13 genes were with differentially expressions in the sciatica group compared to healthy participants, including 8 up-regulated and 5 down-regulated genes. Through the LASSO model and SVM-RFE analysis, a total of 6 genes have intersections, namely SLED1, CHRNB3, BEGAIN, SPTBN2, HRASLS2, and OSR2. The ROC curve area also confirmed the reliability of this method. CIBERPORT analysis showed that T cell gamma delta infiltration decreased and neutrophil infiltration increased in the disease group. Then the association of these six key genes with immune infiltration was further verified. We found six overlapping genes and found that they were closely associated with the total immune infiltration in the sciatic nerve disease group. These findings may provide new ideas for the diagnosis and therapeutics of patients with sciatica.
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spelling pubmed-89709582022-04-01 A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica Ma, Tao Li, Guanhua Ma, Yuheng Ren, Zhaoqi Xie, Houyun Sun, Chaoyong Tian, Lei Zhang, Hao Wang, Wei Comput Intell Neurosci Research Article Sciatica has been widely studied, but the association of sciatica with immune infiltration has not been studied. We aimed to screen key genes and to further investigate the impact of immune infiltration in patients with sciatica. The bioinformatics analyzes were performed based on the GSE150408 dataset. Subsequently, we used CIBERSORT to study the immune infiltration in the disease group. Results showed that 13 genes were with differentially expressions in the sciatica group compared to healthy participants, including 8 up-regulated and 5 down-regulated genes. Through the LASSO model and SVM-RFE analysis, a total of 6 genes have intersections, namely SLED1, CHRNB3, BEGAIN, SPTBN2, HRASLS2, and OSR2. The ROC curve area also confirmed the reliability of this method. CIBERPORT analysis showed that T cell gamma delta infiltration decreased and neutrophil infiltration increased in the disease group. Then the association of these six key genes with immune infiltration was further verified. We found six overlapping genes and found that they were closely associated with the total immune infiltration in the sciatic nerve disease group. These findings may provide new ideas for the diagnosis and therapeutics of patients with sciatica. Hindawi 2022-03-24 /pmc/articles/PMC8970958/ /pubmed/35371219 http://dx.doi.org/10.1155/2022/7372431 Text en Copyright © 2022 Tao Ma et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ma, Tao
Li, Guanhua
Ma, Yuheng
Ren, Zhaoqi
Xie, Houyun
Sun, Chaoyong
Tian, Lei
Zhang, Hao
Wang, Wei
A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica
title A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica
title_full A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica
title_fullStr A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica
title_full_unstemmed A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica
title_short A Bioinformatics Study of Immune Infiltration-Associated Genes in Sciatica
title_sort bioinformatics study of immune infiltration-associated genes in sciatica
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970958/
https://www.ncbi.nlm.nih.gov/pubmed/35371219
http://dx.doi.org/10.1155/2022/7372431
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