Molecular mechanisms of lipid metabolism abnormalities driving sepsis and atrial fibrillation: A Systematic study based on bioinformatics and machine learning

We discovered that lipid metabolism abnormalities significantly modulate disease progression by influencing mitochondrial function, inflammatory responses, and cell adhesion pathways. Future research necessitates further clinical validation and functional experiments to explore personalized therapeutic strategies based on lipid reprogramming.

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Publication Details

Journal
PLoS ONE
Published
2025-12-08
DOI
https://doi.org/10.1371/journal.pone.0338511
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Molecular mechanisms of lipid metabolism abnormalities driving sepsis and atrial fibrillation: A Systematic study based on bioinformatics and machine learning

C.-Y. Ou, Yu Huang, Binbin Chen, Huajun Long
PLoS ONE
Sepsis Diagnosis and Treatment
article

Molecular mechanisms of lipid metabolism abnormalities driving sepsis and atrial fibrillation: A Systematic study based on bioinformatics and machine learning

C.-Y. Ou, Yu Huang, Binbin Chen, Huajun Long
article en

Abstract

We discovered that lipid metabolism abnormalities significantly modulate disease progression by influencing mitochondrial function, inflammatory responses, and cell adhesion pathways. Future research necessitates further clinical validation and functional experiments to explore personalized therapeutic strategies based on lipid reprogramming.

PLoS ONEVol. 20(12)
Hunan University of Traditional Chinese Medicine (CN), Hunan Academy of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 49%
Sepsis Diagnosis and Treatment
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