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Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia
Schizophrenia (SCZ) is a prevalent, severe, and persistent mental disorder with an unknown etiology. Growing evidence indicates that immunological dysfunction is vital in the development of SCZ. Our study aims to uncover potential immune-linked hub genes and immune infiltration characteristics of SC...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517044/ https://www.ncbi.nlm.nih.gov/pubmed/37552420 http://dx.doi.org/10.1007/s12031-023-02138-7 |
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author | Lian, Kun Shen, Zonglin Yang, Runxu Ye, Jing Shang, Binli Dong, Lei Li, Hongfang Wu, Jiabing Cheng, Yuqi Xu, Xiufeng |
author_facet | Lian, Kun Shen, Zonglin Yang, Runxu Ye, Jing Shang, Binli Dong, Lei Li, Hongfang Wu, Jiabing Cheng, Yuqi Xu, Xiufeng |
author_sort | Lian, Kun |
collection | PubMed |
description | Schizophrenia (SCZ) is a prevalent, severe, and persistent mental disorder with an unknown etiology. Growing evidence indicates that immunological dysfunction is vital in the development of SCZ. Our study aims to uncover potential immune-linked hub genes and immune infiltration characteristics of SCZ, as well as to develop a diagnostic model based on immune-linked central genes. GSE38484 and GSE54913 chip expression data for patients with SCZ and healthy controls were retrieved. Weighted gene co-expression network analysis (WGCNA) was performed to identify major module genes and critical immune-linked genes. Functional enrichment analysis was conducted to elucidate the involvement of key genes in the immunological response to SCZ, along with the examination of their protein interactions. Moreover, 202 peripheral blood samples were examined using the single-sample gene set enrichment analysis (ssGSEA) method to detect distinct immune cell types. Hub immune-linked genes in SCZ were identified using the minimal absolute contraction and selection operator analysis. Receptor profiles of central immune-linked genes were analyzed to distinguish the two groups. Finally, the association between immune-linked hub genes and various types of immune cells was assessed. Our findings revealed ten immune cell types and nine key genes involved in SCZ, including effector memory CD4+ T cells, activated CD8+ T cells, mast cells, naive CD8+ T cells, PBMC, type 17 helper cells (Th17), central memory CD8+ T cells, CD56 bright NK cells, memory B cells, and regulatory T cells. Diagnostic models constructed using LASSO regression exhibited an average area under the curve (AUC) of 0.866. Our results indicate immunological dysfunction as a factor in the development of SCZ. ASGR2, ADRM1, AHANK, S100A8, FUCA1, AKNA, GATA3, AHCYL2, and PTRH2 are the key regulatory genes of immune cells, highlighting their potential as novel therapeutic targets for SCZ. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12031-023-02138-7. |
format | Online Article Text |
id | pubmed-10517044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-105170442023-09-24 Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia Lian, Kun Shen, Zonglin Yang, Runxu Ye, Jing Shang, Binli Dong, Lei Li, Hongfang Wu, Jiabing Cheng, Yuqi Xu, Xiufeng J Mol Neurosci Research Schizophrenia (SCZ) is a prevalent, severe, and persistent mental disorder with an unknown etiology. Growing evidence indicates that immunological dysfunction is vital in the development of SCZ. Our study aims to uncover potential immune-linked hub genes and immune infiltration characteristics of SCZ, as well as to develop a diagnostic model based on immune-linked central genes. GSE38484 and GSE54913 chip expression data for patients with SCZ and healthy controls were retrieved. Weighted gene co-expression network analysis (WGCNA) was performed to identify major module genes and critical immune-linked genes. Functional enrichment analysis was conducted to elucidate the involvement of key genes in the immunological response to SCZ, along with the examination of their protein interactions. Moreover, 202 peripheral blood samples were examined using the single-sample gene set enrichment analysis (ssGSEA) method to detect distinct immune cell types. Hub immune-linked genes in SCZ were identified using the minimal absolute contraction and selection operator analysis. Receptor profiles of central immune-linked genes were analyzed to distinguish the two groups. Finally, the association between immune-linked hub genes and various types of immune cells was assessed. Our findings revealed ten immune cell types and nine key genes involved in SCZ, including effector memory CD4+ T cells, activated CD8+ T cells, mast cells, naive CD8+ T cells, PBMC, type 17 helper cells (Th17), central memory CD8+ T cells, CD56 bright NK cells, memory B cells, and regulatory T cells. Diagnostic models constructed using LASSO regression exhibited an average area under the curve (AUC) of 0.866. Our results indicate immunological dysfunction as a factor in the development of SCZ. ASGR2, ADRM1, AHANK, S100A8, FUCA1, AKNA, GATA3, AHCYL2, and PTRH2 are the key regulatory genes of immune cells, highlighting their potential as novel therapeutic targets for SCZ. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12031-023-02138-7. Springer US 2023-08-08 2023 /pmc/articles/PMC10517044/ /pubmed/37552420 http://dx.doi.org/10.1007/s12031-023-02138-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Lian, Kun Shen, Zonglin Yang, Runxu Ye, Jing Shang, Binli Dong, Lei Li, Hongfang Wu, Jiabing Cheng, Yuqi Xu, Xiufeng Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia |
title | Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia |
title_full | Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia |
title_fullStr | Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia |
title_full_unstemmed | Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia |
title_short | Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia |
title_sort | identification of immune-linked hub genes and diagnostic model construction in schizophrenia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517044/ https://www.ncbi.nlm.nih.gov/pubmed/37552420 http://dx.doi.org/10.1007/s12031-023-02138-7 |
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