Evidence map›Paper›PMID 40695249›Full record

ArticleJournal of innate immunity2025

Identification of Immune Candidate Genes in Post-Sepsis Syndrome: Linking Innate Immunity to Long-Term Autoimmune Responses.

Yuying Zhou, Tingjun Wang, Yecheng Li, Yunxi Yang, Sai Ma, Yibin Sun, Wen Lu, Yu Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of innate immunity, 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 authors.

Yuying ZhouDepartment of Central Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Tingjun WangDepartment of General Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Yecheng LiDepartment of Gastroenterology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Yunxi YangDepartment of Central Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Sai MaDepartment of Central Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Yibin SunDepartment of Gastroenterology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
Wen LuDepartment of General Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China, snowluwen66@126.com.
Yu ZhouDepartment of General Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China, zhouy158598@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

<p>Introduction: Post-sepsis syndrome (PSS) is marked by persistent immune dysregulation, leading to long-term complications that overlap with autoimmune responses. Uncovering key immune-related candidate genes during PSS recovery can enhance our understanding of immune mechanisms involved in post-sepsis complications and inform targeted therapeutic strategies.

methodsThe objectives of the study were to analyze the GSE46955 dataset containing 24 peripheral blood mononuclear cell samples: 8 from the sepsis stage, 8 from the recovery phase, and 6 from healthy controls; use the Linear Models for Microarray Data (limma) and Weighted Gene Co-Expression Network Analysis (WGCNA) to identify differentially expressed genes (DEGs); and further explore key genes and pathways in sepsis recovery through protein-protein interaction (PPI) networks, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes enrichment, and a lipopolysaccharide-induced mouse model.

resultsA total of 537 DEGs were identified, showing significant expression differences between sepsis and healthy controls. CD4, C1QA, and HLA-DRA were key hub genes in the PPI network, with increased expression in recovery samples, indicating roles in immune regulation. CD4 silencing worsened sepsis and reduced survival in mice, while CD4 overexpression improved outcomes.

conclusionOur findings highlight immune candidate genes that could serve as diagnostic and therapeutic targets in PSS, shedding light on the prolonged immune responses underlying sepsis recovery. These insights support the development of interventions targeting immune dysregulation in PSS, potentially applicable to other autoimmune conditions. </p>.

Indexed as

Immunity, InnateLeukocytes, MononuclearSepsisAnimalsAutoimmunityCD4 AntigensDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksHumansLipopolysaccharidesMicePost-Infectious DisordersProtein Interaction MapsSyndromeCD4 AntigensLipopolysaccharidesAutoimmune diseasesCandidate genesDifferentially expressed genesPost-sepsis syndromeProtein-protein interaction network

Identifiers

PMID40695249
PMCPMC12503608

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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.