Identification and analysis of exosome-associated signatures in pediatric sepsis by integrated bioinformatics analysis and machine learning

This study elucidated the role of ERGs in PS, and highlights the significance of immune dysregulation in the pathogenesis of the disease. The developed diagnostic models represent promising tools for the early detection and prognosis prognostic of PS.

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Publication Details

Journal
PeerJ
Published
2026-01-08
DOI
https://doi.org/10.7717/peerj.20555
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification and analysis of exosome-associated signatures in pediatric sepsis by integrated bioinformatics analysis and machine learning

Xiaotao Su, Jinji Chen, Lichuan Lai, Junming Huang
PeerJ
Extracellular vesicles in disease
article

Identification and analysis of exosome-associated signatures in pediatric sepsis by integrated bioinformatics analysis and machine learning

Xiaotao Su, Jinji Chen, Lichuan Lai, Junming Huang
article en

Abstract

This study elucidated the role of ERGs in PS, and highlights the significance of immune dysregulation in the pathogenesis of the disease. The developed diagnostic models represent promising tools for the early detection and prognosis prognostic of PS.

PeerJVol. 14
Guangxi Medical University (CN), The People's Hospital of Guangxi Zhuang Autonomous Region (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 96%
Extracellular vesicles in disease
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