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Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection
Human immunodeficiency virus encephalitis (HIVE) is a severe neurological complication after HIV infection. Evidence shows that genetic factors play an important role in HIVE. The aim of the present study was to identify new potential therapeutic targets for HIVE. Differentially expressed gene (DEG)...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611703/ https://www.ncbi.nlm.nih.gov/pubmed/37891420 http://dx.doi.org/10.1038/s41598-023-45922-6 |
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author | Wang, Shitao Ding, Xiangqian Li, Zongyou Rao, Feng Xu, Hui Lu, Jinghong Ma, Xuelu Zhang, Mengen Xie, Zhenrong |
author_facet | Wang, Shitao Ding, Xiangqian Li, Zongyou Rao, Feng Xu, Hui Lu, Jinghong Ma, Xuelu Zhang, Mengen Xie, Zhenrong |
author_sort | Wang, Shitao |
collection | PubMed |
description | Human immunodeficiency virus encephalitis (HIVE) is a severe neurological complication after HIV infection. Evidence shows that genetic factors play an important role in HIVE. The aim of the present study was to identify new potential therapeutic targets for HIVE. Differentially expressed gene (DEG), functional annotation and pathway, and protein–protein interaction analyses were performed to identify the hub genes associated with HIVE. Gene co-expression analysis was carried out to confirm the association between the hub genes and HIVE. Finally, the role of the hub genes in HIVE therapy was evaluated by conducting drug–gene interaction analysis. A total of 20 overlapping DEGs closely related to HIVE were identified. Functional annotation and pathway enrichment analysis indicated that the markedly enriched DEG terms included ion transport, type II interferon signaling, and synaptic signaling. Moreover, protein–protein interaction analysis revealed that 10 key HIVE-related genes were hub genes, including SCN8A, CDK5R2, GRM5, SCN2B, IFI44L, STAT1, SLC17A7, ISG15, FGF12, and FGF13. Furthermore, six hub genes were co-expressed with HIVE-associated host genes in human brain tissue. Finally, three hub genes (STAT1, ISG15, and SCN2B) interacted with several inflammation-associated drugs. These findings suggested that SCN8A, CDK5R2, GRM5, SCN2B, IFI44L, STAT1, SLC17A7, ISG15, FGF12, and FGF13 may be new targets for diagnosis and therapy of HIVE. |
format | Online Article Text |
id | pubmed-10611703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106117032023-10-29 Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection Wang, Shitao Ding, Xiangqian Li, Zongyou Rao, Feng Xu, Hui Lu, Jinghong Ma, Xuelu Zhang, Mengen Xie, Zhenrong Sci Rep Article Human immunodeficiency virus encephalitis (HIVE) is a severe neurological complication after HIV infection. Evidence shows that genetic factors play an important role in HIVE. The aim of the present study was to identify new potential therapeutic targets for HIVE. Differentially expressed gene (DEG), functional annotation and pathway, and protein–protein interaction analyses were performed to identify the hub genes associated with HIVE. Gene co-expression analysis was carried out to confirm the association between the hub genes and HIVE. Finally, the role of the hub genes in HIVE therapy was evaluated by conducting drug–gene interaction analysis. A total of 20 overlapping DEGs closely related to HIVE were identified. Functional annotation and pathway enrichment analysis indicated that the markedly enriched DEG terms included ion transport, type II interferon signaling, and synaptic signaling. Moreover, protein–protein interaction analysis revealed that 10 key HIVE-related genes were hub genes, including SCN8A, CDK5R2, GRM5, SCN2B, IFI44L, STAT1, SLC17A7, ISG15, FGF12, and FGF13. Furthermore, six hub genes were co-expressed with HIVE-associated host genes in human brain tissue. Finally, three hub genes (STAT1, ISG15, and SCN2B) interacted with several inflammation-associated drugs. These findings suggested that SCN8A, CDK5R2, GRM5, SCN2B, IFI44L, STAT1, SLC17A7, ISG15, FGF12, and FGF13 may be new targets for diagnosis and therapy of HIVE. Nature Publishing Group UK 2023-10-27 /pmc/articles/PMC10611703/ /pubmed/37891420 http://dx.doi.org/10.1038/s41598-023-45922-6 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 | Article Wang, Shitao Ding, Xiangqian Li, Zongyou Rao, Feng Xu, Hui Lu, Jinghong Ma, Xuelu Zhang, Mengen Xie, Zhenrong Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection |
title | Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection |
title_full | Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection |
title_fullStr | Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection |
title_full_unstemmed | Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection |
title_short | Comprehensive analyses identify potential biomarkers for encephalitis in HIV infection |
title_sort | comprehensive analyses identify potential biomarkers for encephalitis in hiv infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611703/ https://www.ncbi.nlm.nih.gov/pubmed/37891420 http://dx.doi.org/10.1038/s41598-023-45922-6 |
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