Evidence map›Paper›PMID 39928821›Full record

ArticleMedicine2025

Identification of diagnostic biomarkers related to the efferocytosis pathway and immune cell infiltration characteristics in pediatric sepsis by bioinformatics analysis.

Linlin Guo, Yangzhen Wang, Xiaodan Qiu, Wenfang Su, Yixuan Chen, Yuanqing Chen

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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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Role of biomarkers in pediatric sepsis: What evidence says?World journal of clinical pediatrics · 2026
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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

6 authors.

Linlin GuoDepartment of Laboratory Medicine, The Second Hospital of Longyan, Fujian, China.
Yangzhen WangDepartment of Laboratory Medicine, The First Hospital of Longyan, Fujian, China.
Xiaodan QiuDepartment of Laboratory Medicine, The Second Hospital of Longyan, Fujian, China.
Wenfang SuDepartment of Laboratory Medicine, The Second Hospital of Longyan, Fujian, China.
Yixuan ChenDepartment of Laboratory Medicine, The Second Hospital of Longyan, Fujian, China.
Yuanqing ChenDepartment of Laboratory Medicine, The Second Hospital of Longyan, Fujian, China.ORCID 0009-0006-2889-8854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric sepsis is a serious disease characterized by multiple organ failure. Due to its unique pathogenesis, its clinical mortality rate is very high. This study systematically evaluated the value of efferocytosis related genes in the diagnosis of sepsis in children. We downloaded gene expression profiles related to pediatric sepsis from the gene expression omnibus database, identify differentially expressed genes (DEGs) by limma R package, and retrieve adult sepsis gene expression profiles to determine the specificity of pediatric sepsis biomarkers. Selected pediatric sepsis specific genes from these profiles and used clusterProfiler for Kyoto Encyclopedia of Genes and Genomes (KEGG), gene ontology, and Reactome databases for functional enrichment. Genesets related to Efferocytosis was searched in the KEGG database, and the intersection with pediatric sepsis specific genes was considered as pediatric sepsis-efferocytosis genes. Immune infiltration analysis was performed using the CIBERSORT package. Constructed a protein-protein interaction (PPI) network and screened for hub genes in pediatric sepsis-efferocytosis genes. Further select diagnostic markers through gene expression and receiver operating characteristic (ROC) curve. We identified a total of 281 DEGs specific to pediatric sepsis, which are enriched in pathways such as phagosome, autophagy and efferocytosis. We found that the efferocytosis pathway is significantly up-regulated in pediatric sepsis, while this pathway is not significant in adult sepsis. We noticed that 12 types of immune cells infiltration levels including macrophages in pediatric sepsis patients. We selected the top 20 hub genes with PPI network. By overlapping hub genes with pediatric sepsis-efferocytosis genes, we obtained 2 hub pediatric sepsis-efferocytosis genes (ALOX5, CD36). The ROC curve suggested that these genes may be potential diagnostic markers for pediatric sepsis. We have identified ALOX5 and CD36 as efferocytosis related genes associated with pediatric sepsis, which can reliably identify pediatric sepsis and provide prospective clinical references for the pathogenesis of pediatric sepsis.

Indexed as

PhagocytosisSepsisBiomarkersChildChild, PreschoolComputational BiologyEfferocytosisFemaleGene Expression ProfilingHumansInfantMaleProtein Interaction MapsROC CurveBiomarkers

Identifiers

PMID39928821
PMCPMC11813005

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