Evidence map›Paper›PMID 39833072›Full record

ArticleMedicine2025

Analyzing gene-based apoptotic biomarkers in insomnia using bioinformatics.

Wenwen Zhu, Xingchun Yang, Nanxi Li, Bin Zhang, Lishan Huang, Hanxing Cheng, Xiao Wu, Dechou Zhang, Sen Li, Houping Xu

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Wenwen ZhuGeriatric Department, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.ORCID 0000-0002-9466-7345
Xingchun YangDepartment of Acupuncture and Tuina, Affiliated Hospital of Traditional Chinese Medicine, Southwest Medical University, Luzhou, Sichuan, China.
Nanxi LiGeriatric Department, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Bin ZhangGeriatric Department, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Lishan HuangGeriatric Department, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Hanxing ChengGeriatric Department, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Xiao WuDepartment of Acupuncture and Tuina, Affiliated Hospital of Traditional Chinese Medicine, Southwest Medical University, Luzhou, Sichuan, China.
Dechou ZhangDepartment of Acupuncture and Tuina, Affiliated Hospital of Traditional Chinese Medicine, Southwest Medical University, Luzhou, Sichuan, China.
Sen LiDepartment of Orthopedic Surgery, Division of Spine Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Houping XuGeriatric Department, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.

Funding

Administration of Traditional Chinese Medicine of Sichuan Province 2023MS208Administration of Traditional Chinese Medicine of Sichuan Province 2024zd032Peng Zhou People's Hospital 2023PZXNYD09People's Government of Luzhou City-Southwest Medical University 2021LZXNYD-D14Sichuan Science and Technology Department Project 2022YFS0613
6 · The paper itself

Abstract

Insomnia is increasingly common and poses significant health risks. The aims of this study are to identify apoptosis-related genes and potential biomarkers for insomnia and to find new therapeutic targets. Insomnia gene expression profiles were downloaded from the Gene Expression Omnibus database, and differentially expressed genes in normal and insomnia samples were identified by limma rapid differential analysis, and then the major modular genes with clinical relevance to insomnia were analyzed using the Weighted Gene Co-Expression Network Analysis, and intersections were obtained with the differentially expressed genes as well as with apoptotic gene databases. We validated apoptosis-related differentially expressed genes, enriched and analyzed the specific biological process of insomnia and related signaling pathways. In addition, we constructed a protein-protein interaction network and obtained Top10 hub genes using Cytoscape. We selected 3 of them as hub genes and compared their expression in normal hippocampal neuronal cells and hippocampal neuronal cells of the model group exposed to corticosterone induction by Western Blot and qRT-PCR experiments. A total of 190 differentially expressed apoptosis-related genes were identified in insomnia, and BCL2, SOCS3, and IL7R were identified as important hub genes. Enrichment analysis showed that the occurrence of apoptosis in insomnia was mainly related to "PI3K-Akt signaling pathway," "JAK-STAT signaling pathway," "P53 signaling pathway" and so on. GO analysis showed that apoptosis in insomnia was mainly related to "immune response," "T cell differentiation in thymus," and "positive regulation of MAPK cascade." Western Blot and qRT-PCR experiments showed that BCL2, SOCS3, IL7R antiapoptotic indexes were under-expressed in modeled hippocampal neuronal cells compared to normal hippocampal neuronal cells. This study emphasizes the role of apoptosis-related genes in insomnia and preliminarily predicts that the occurrence of insomnia is closely related to apoptosis. Compared to the normal group, the antiapoptotic ability of hippocampal neurons in the model group is reduced. Although BCL2 has been studied in the context of sleep deprivation, SOCS3 and IL7R have not yet been explored in insomnia. Insomnia and sleep deprivation involve similar pathways, but due to different mechanisms and types of insomnia, gene expression may vary.

Indexed as

ApoptosisComputational BiologySleep Initiation and Maintenance DisordersBiomarkersGene Expression ProfilingGene Regulatory NetworksHumansProtein Interaction MapsProto-Oncogene Proteins c-bcl-2Signal TransductionSuppressor of Cytokine Signaling 3 ProteinBiomarkersProto-Oncogene Proteins c-bcl-2SOCS3 protein, humanSuppressor of Cytokine Signaling 3 Protein

Identifiers

PMID39833072
PMCPMC11749514

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.