Evidence map›Paper›PMID 41243992›Full record

ArticleJournal of inflammation research2025

Metabolomic Profiling by UPLC-QTOF/MS Reveals Potential Biomarkers and Metabolic Alterations in Pediatric Septic Shock.

Changxue Xiao, Chenhao Wang, Sa Wang, Feng Xu, Yingfu Chen

Abstract read
In one paragraph

Article in Journal of inflammation research, 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

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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. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Changxue Xiao *Department of Critical Care Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, People's Republic of China.
Chenhao Wang *Department of Critical Care Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, People's Republic of China.ORCID 0009-0000-1170-1855
Sa WangDepartment of Critical Care Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, People's Republic of China.
Feng XuDepartment of Critical Care Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, People's Republic of China.
Yingfu ChenDepartment of Critical Care Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Chongqing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Septic shock is a major cause of mortality in pediatric intensive care units (PICU). This study aimed to investigate metabolic alterations in PICU patients with septic shock using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) to identify potential biomarkers and unique metabolic pathways for early diagnosis and improved treatment strategies. Patients and Methods: Serum and urine samples from septic shock survivors (SS), septic shock non-survivors (SNS), and non-infected systemic inflammatory response syndrome (SIRS) patients were analyzed using UPLC-QTOF/MS. All differential metabolites from serum samples were subjected to multiple regression analysis. Bioinformatics analysis was conducted on metabolite data obtained from urine and serum samples of the SS and SNS groups to further investigate differences in metabolic pathways. Results: Combinational metabolites demonstrated superior diagnostic performance compared with individual metabolites, with an area under the receiver operating characteristic curve (AUC) of 0.925 for SS vs SIRS and 0.901 for SNS vs SIRS. Key metabolic pathways, including glycerophospholipid metabolism, arginine and proline metabolism, were implicated in the development of septic shock. Importantly, alterations in glutamine and glutamate metabolism were associated with survival, suggesting the significant potential for further investigation. Conclusion: Metabolomic profiling using UPLC-QTOF/MS represents a promising approach for early diagnosis of pediatric septic shock. The identified biomarkers and metabolic pathways provide insights into the pathogenic mechanisms and may assist in the development of targeted therapeutic strategies. Further validation in larger, prospective cohorts is required before clinical application.

Indexed as

biomarkermetabolic pathwaysmetabolomicspediatricseptic shock

Identifiers

PMID41243992
PMCPMC12619548

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