Evidence map›Paper›PMID 41080061›Full record

ArticleFrontiers in pediatrics2025

Lipidomics changes in bronchoalveolar lavage fluid of refractory mycoplasma pneumoniae pneumonia: LC-MS-based analysis of potential biomarkers and pathogenesis.

Miao Ma, Jiao Shi, Weigang Wang, Haijuan Huang, Xiaofei Li

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Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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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.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Miao MaDepartment of Pediatric Respiratory Medicine, Northwest Women's and Children's Hospital, Xi'an, Shaanxi, China.
Jiao ShiStatistics and Medical Records Department, Northwest Women's and Children's Hospital, Xi'an, Shaanxi, China.
Weigang WangDepartment of Pediatric Respiratory Medicine, Northwest Women's and Children's Hospital, Xi'an, Shaanxi, China.
Haijuan HuangDepartment of Pediatric Respiratory Medicine, Northwest Women's and Children's Hospital, Xi'an, Shaanxi, China.
Xiaofei LiDepartment of Pediatric Respiratory Medicine, Northwest Women's and Children's Hospital, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have reported the application of metabolomics in infectious diseases, but little is known about the potential function of bronchoalveolar lavage fluid (BALF) metabolites in children with (mycoplasma pneumoniae pneumonia) MPP and (refractory mycoplasma pneumoniae pneumonia) RMPP. Methods: In this study, untargeted lipidomic analysis of BALF in MPP patients ( Results: Thirteen differential lipids were found between RMPP and MPP, among which there were three significantly up-regulated differential metabolites (DG(34:4e), PC(36:5), SM(d38:3)), and the areas under the curves (AUCs) of all of them were greater than 0.8, and among the up-regulated differential metabolites of lipids between RMPP and MPP, DG(34:4e) and SM(d38:3) were positively correlated with Hydroxybutyrate Dehydrogenase (HBDH), Lactate Dehydrogenase (LDH), Creatine Kinase (CK), D-Dimer, and Fibrin Degradation Products (FDP). Conclusion: This is the first study to analyze the lipidomic features of BALF to differentiate between RMPP and MPP. The lipidomics of BALF in patients with RMPP was significantly altered and closely correlated with clinically relevant indicators. These data may contribute to the understanding of the pathogenesis of RMPP and the discovery of new biomarkers and therapeutic targets for RMPP.

Indexed as

biomarkersbronchoalveolar lavage fluidchildrenlipid metabolismmycoplasma pneumoniae

Identifiers

PMID41080061
PMCPMC12512669

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