Evidence map›Paper›PMID 41612488›Full record

ArticleEuropean journal of medical research2026

Identification of the biomarkers associated with lipid metabolism and endoplasmic reticulum stress in pediatric sepsis through bioinformatics analysis and quantitative reverse transcriptase PCR (qRT-PCR) assay.

Baoju Shan, Jiaoyang Cao, Ting Yang

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Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Baoju ShanDepartment of Emergency, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China.
Jiaoyang CaoDepartment of Emergency, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China.
Ting YangDepartment of Respiratory, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong District, Chongqing, 400014, China. elaine831121@163.com.

Funding

the Chongqing Municipal Science and Technology Bureau CSTB2024TIAD-KPX0034
6 · The paper itself

Abstract

backgroundSepsis constitutes a critical clinical condition characterized by organ failure and systemic inflammation, especially affecting children. Lipid metabolism and endoplasmic reticulum stress are involved in various diseases, yet their roles in pediatric sepsis remain unclear. This study sought to discover and validate biomarkers associated with lipid metabolism and endoplasmic reticulum stress in pediatric sepsis.

methodsDifferentially expressed genes were identified from the Gene Expression Omnibus (GEO) database. Lipid metabolism-related genes (LRGs) and endoplasmic reticulum stress-related genes (ERGs) were sourced from literature. After weighted gene co-expression network analysis and intersections, candidate genes were screened by machine learning and validated. A nomogram was built, followed by various bioinformatics analyses and quantitative reverse transcriptase PCR (qRT-PCR) confirmation.

resultsThere were 12 candidate genes, and 4 of them (ACER3, DGAT2, GBA, and TSPO) were screened as biomarkers. A nomogram integrating these four biomarkers showed excellent predictive ability. Gene Set Variation Analysis (GSVA) and Gene Set Enrichment Analysis (GSEA) revealed their involvement in pediatric sepsis-related pathways. They correlated positively with stimulated dendritic cells and negatively with stimulated B cells. The molecular regulatory network included multiple RNAs and transcription factors. 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) bound strongly to the biomarkers. qRT-PCR confirmed their high expression in pediatric sepsis patients' blood (all P < 0.05).

conclusionsA total of 4 biomarkers (ACER3, DGAT2, GBA, and TSPO) related to lipid metabolism and endoplasmic reticulum stress in pediatric sepsis were identified. These biomarkers offered fresh insights into the mechanisms and therapeutic approaches of pediatric sepsis.

Indexed as

BioinformaticsBiomarkerEndoplasmic reticulum stressLipid metabolismPediatric sepsisQuantitative reverse transcriptase PCR

Identifiers

PMID41612488
PMCPMC12931008

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