Evidence map›Paper›PMID 41394771›Full record

ArticleHuman mutation2025

Identification of Aging-Related Hub Genes (ATP11B, RBBP7, DOCK10, and NUP160) as Potential Biomarkers and Therapeutic Targets in Sepsis.

Xueyi Sun, Shaolei Geng, Zeyuan Wang, Qingjiang Chen

Abstract read
In one paragraph

Article in Human mutation, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Corrections and comments

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

4 authors.

Xueyi SunDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shaolei GengSchool of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, China.ORCID 0009-0006-8263-0015
Zeyuan WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qingjiang ChenDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-0025-7554

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis arises from a dysregulated host response to infection, leading to multiorgan inflammatory injury. Early diagnosis and treatment necessitate the identification of reliable immune biomarkers. This study investigated the relationship between aging, immunity, and sepsis by analyzing six human aging-related gene sets (656 genes). We identified 16 aging-related differentially expressed genes (DEGs) in sepsis. Among these, ATP11B, RBBP7, DOCK10, and NUP160 demonstrated the strongest connectivity with other genes and exhibited significant predictive power. Functional enrichment analysis (GO and KEGG) revealed distinct signaling pathway profiles between high-risk and low-risk sepsis groups (stratified based on risk scores). These dysregulated pathways, associated with multiple immune cells, were primarily linked to transcriptional dysregulation in cellular processes and cancer-related pathways. Experimental validation assays corroborated the roles of ATP11B and RBBP7. Collectively, our bioinformatic and experimental findings indicate that ATP11B, RBBP7, DOCK10, and NUP160 are implicated in the pathogenesis and progression of sepsis. But their potential for sepsis biomarkers still requires further verification.

Indexed as

AgingNuclear Pore Complex ProteinsSepsisBiomarkersComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansSignal TransductionBiomarkersNuclear Pore Complex Proteinsaging-related genesfunctional enrichment analysisimmune biomarkerssepsis

Identifiers

PMID41394771
PMCPMC12698264

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Registered trials

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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.