Evidence map›Paper›PMID 40325173›Full record

ArticleScientific reports2025

Integrated multiomics and Mendelian randomization identify CHIT1 as a novel sepsis biomarker and therapeutic target.

Guorui Li, Yunlong Mao, Jiaxiang Liao, Yuquan Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Guorui Li *Department of Gerontology, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, 511300, Guangdong, China.
Yunlong Mao *Department of Gerontology, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, 511300, Guangdong, China.
Jiaxiang LiaoDepartment of Emergence, the First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
Yuquan ZhouDepartment of Gerontology, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, 511300, Guangdong, China. 16624740204@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is characterized by severe organ failure due to an impaired response to infection. The underlying pathophysiology of sepsis is characterized by concurrent unbalanced hyperinflammatory and immunoparalysis. This study aimed to identify new key biomarkers that could predict outcomes in sepsis patients and explore theirunderlying molecular mechanisms. Bulk transcriptome data (GSE65682, GSE28750, GSE57065, GSE95233) and scRNA-seq data (GSE167363) of sepsis were obtained from the GEO database. Data for MR analysis were sourced from the eQTLGen Consortium and IEU OpenGWAS project. Prognostic biomarkers and potential drug targets for sepsis were identified through univariate Cox regression and MR analysis. The expression of these biomarkers was further validated using scRNA-seq data to investigate the underlying molecular mechanisms. Significantly higher expression of CHIT1 was found at sepsis non-survivor and associated with 28-day mortality of sepsis. scRNA-seq data of septic samples found that CHIT1 mainly expressed in neutrophils, which was also higher in sepsis non-survivors. The CHIT1 + neutrophils expressed higher inflammation related genes of S100A8, S100A9, S100A11, S100A12, IL1R2, IFNGR2, TLR2 and CXCL8 and reduced expression of HLA related genes of HLA-DMA, HLA-DPA1, HLA-DPB1, HLA-DRA, HLA-DRB1 and HLA-DRB5. Moreover, cell-chat analysis also showed that CHIT1 + neutrophils could interact with other immune cell types, including NK cells, erythroid cells, monocytes/macrophages, and DC by the way of ICAM1-(ITGAM + ITGB2) pathway. We identified CHIT1 as new biomarker and potential drug target for sepsis, which may intensify hyperinflammation and immune suppression of neutrophils. Developing immunotherapeutic strategies aimed at targeting CHIT1 would help to enhance sepsis outcomes.

Indexed as

SepsisBiomarkersGene Expression ProfilingHumansMendelian Randomization AnalysisMultiomicsNeutrophilsPrognosisTranscriptomeBiomarkersCHIT1ImmunityMR analysisNeutrophilsscRNA-seqSepsis

Identifiers

PMID40325173
PMCPMC12052846

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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.