Evidence map›Paper›PMID 42426832›Full record

ArticleVirology journal2026

Identification of key genes associated with T cell exhaustion in HIV infection based on transcriptomic data.

Yan Zhang, Yutao Yong, Wenqing Liu, Die Hu, Chengjie Ji, Chunyu Ma

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Article in Virology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Yan ZhangDepartment of Clinical Medicine, The People's Hospital of jianyang, Chengdu, Sichuan Province, China.
Yutao YongDepartment of Clinical Medicine, The People's Hospital of jianyang, Chengdu, Sichuan Province, China.
Wenqing LiuDepartment of Clinical Medicine, Ziyang Central Hospital, Ziyang, Sichuan Province, China.
Die HuDepartment of Clinical Medicine, The People's Hospital of jianyang, Chengdu, Sichuan Province, China.
Chengjie JiDepartment of Clinical Medicine, The People's Hospital of jianyang, Chengdu, Sichuan Province, China.
Chunyu MaDepartment of Clinical Medicine, The First Affiliated Hospital of Jinzhou Medical University, No. 2, Section 5, Renmin Street, Guta District, Jinzhou, 121000, Liaoning Province, China. machunyu@jzmu.edu.cn.

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6 · The paper itself

Abstract

backgroundHuman immunodeficiency virus (HIV) is a lentivirus belonging to the retrovirus subclass. HIV specifically targets and infects human CD4 + T lymphocytes, and T cell exhaustion (TEX) plays an important role in disease progression. However, the specific molecular mechanisms have not been fully elucidated. In this study, we explored the potential mechanisms by analyzing transcriptomic data and TEX-related genes, and screened novel markers closely associated with HIV neutralization and T cell function to assess TEX severity and guide precise immunotherapy.

methodsTranscriptomic data related to HIV were screened from public databases. Key genes associated with TEX were identified through machine learning, receiver operating characteristic curve analyses, and gene expression analyses, and a molecular regulatory network was constructed. Subsequently, methods such as localization analysis, gene set enrichment analysis, and immune infiltration analysis were employed to explore the underlying mechanisms. Finally, the mRNA expression of diagnostic genes in clinical samples was verified by RT-qPCR.

resultsEPSTI1 and MSC were identified as key genes. EPSTI1 was enriched in the Epstein-Barr virus infection pathway, whereas MSC was associated with base excision repair. MSC protein was mainly localized in the nucleus, while the subcellular localization of EPSTI1 remained unclear. Immune infiltration analysis revealed the significant differential infiltration of 12 cell types, among which MSC was associated with three cell types and EPSTI1 was associated with one cell type. RT-qPCR results further suggested that EPSTI1 expression was significantly elevated in HIV-infected individuals, and its upregulation was likely positively correlated with the severity of TEX. No statistically significant difference was observed in MSC expression between the two groups.

conclusionThis study indicated that EPSTI1 may serve as a potential functional gene during HIV infection. EPSTI1 may be a promising candidate biomarker for TEX in HIV infection and could act as a tentative therapeutic target for follow-up research.

Indexed as

CD4-Positive T-LymphocytesHIV InfectionsT-Cell ExhaustionTranscriptomeGene Expression ProfilingGene Regulatory NetworksHIV-1HumansDrug predictionHuman immunodeficiency virusImmune infiltrationKey genesT-cell exhaustion

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