Evidence map›Paper›PMID 42275287›Full record

ArticlePloS one2026

Metabolomics analysis identifies differential metabolites and potential diagnostic biomarkers among pediatric sepsis subtypes.

Sisi Zhuang, Lili Zuo

Abstract read
In one paragraph

Article in PloS one, 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

2 authors.

Sisi ZhuangThe First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0009-0003-2364-6584
Lili ZuoThe First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis in children can be caused by a variety of pathogens, with bacteria and viruses being the most common. This study used metabolomics to identify differences in metabolic profiles and potential biomarkers among pathogens causing pediatric sepsis.

methodsSerum metabolomic profiles of pediatric bacterial and viral sepsis were obtained from the MetaboLights database (MTBLS563). Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal PLS-DA were employed to explore metabolic distinctions. Differential expression metabolites (DEMs) were identified using the Wilcoxon rank-sum test and variable importance in projection (VIP) scores. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, receiver operating characteristic (ROC) analysis, Extreme Gradient Boosting (XGBoost) modeling, and Shapley Additive exPlanations (SHAP) analysis were conducted to determine diagnostic metabolites and evaluate model performance.

resultsPCA and PLS-DA revealed distinct metabolic profiles among bacterial pediatric sepsis (PBID_PS), viral pediatric sepsis (VID_PS), and healthy controls. Fourteen differential metabolites were identified, primarily enriched in nitrogen metabolism, arginine biosynthesis, and the metabolism of alanine, aspartate, and glutamate. Among them, choline, glutamate, and glutamine exhibited strong discriminatory ability between PBID_PS and VID_PS. XGBoost and SHAP analyses confirmed these metabolites as key diagnostic indicators, achieving excellent predictive performance and revealing distinct metabolic reprogramming underlying different etiologies of pediatric sepsis.

conclusionMetabolomic profiling revealed distinct metabolic signatures between bacterial and viral pediatric sepsis, with glutamate, glutamine, and choline serving as potential biomarkers.

Indexed as

BiomarkersMetabolomeMetabolomicsSepsisChildChild, PreschoolDiscriminant AnalysisFemaleHumansLeast-Squares AnalysisMalePrincipal Component AnalysisBiomarkers

Identifiers

PMID42275287
PMCPMC13257987

What Socratic holds

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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 Socratic graph.