Evidence map›Paper›PMID 40756031›Full record

ArticleFrontiers in cellular and infection microbiology2025

Deciphering the role of SEMA4A/MAPK signaling in sepsis: insights from Mendelian randomization, transcriptomic, single-cell sequencing analyses, and vitro experiments.

Meng-Qin Pei, Yan-Ling Lin, Li-Ming Xu, Yu-Shen Yang, Zhen-Dong Sun, Ya-Fen Zeng, Gui-Dan Wang, He-Fan He, Li-Ying Yu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Meng-Qin PeiDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Yan-Ling LinDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Li-Ming XuDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Yu-Shen YangDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Zhen-Dong SunDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Ya-Fen ZengDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Gui-Dan WangDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
He-Fan HeDepartment of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Li-Ying YuCentral Laboratory, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is a condition with high mortality and multiple organ dysfunction, undergoing complex pathogenesis and limited treatment options. This study aims to uncover new therapeutic targets for sepsis. Methods: Three independent transcriptomic datasets from sepsis patients in the GEO database were utilized. Batch effect correction and differential gene expression analysis were performed to identify differentially expressed genes (DEGs), followed by mendelian randomization (MR) analysis to identify sepsis-related risk genes. The intersection of DEGs and MR risk genes revealed final core sepsis genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to elucidate the functional pathways of core genes. Single-cell RNA sequencing (scRNA-seq) analysis was employed to evaluate gene expression profiles across various cell types in sepsis. Results: We identified 307 highly expressed DEGs and 72 disease-related risk genes, culminating in the identification of three core sepsis genes including SEMA4A, LRPAP1, and NTSR1. These genes are involved in biological processes and pathways related to immune responses, such as immune rejection. scRNA-seq data indicated that three core sepsis genes are predominantly expressed in monocytes. Conclusion: This study proposes SEMA4A, LRPAP1, and NTSR1 as promising therapeutic targets for sepsis. Particularly, it underscores the crucial role of SEMA4A/MAPK in monocytes in the pathogenesis and progression of sepsis, offering valuable insights for potential treatment strategies.

Indexed as

MAP Kinase Signaling SystemSemaphorinsSepsisGene Expression ProfilingHumansMendelian Randomization AnalysisSignal TransductionSingle-Cell AnalysisTranscriptomeSemaphorinsMendelian randomizationSEMA4Asepsissingle-cell sequencingtranscriptomics

Identifiers

PMID40756031
PMCPMC12313560

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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.