A machine learning integrated multi-omics framework for risk prediction and target discovery in insomnia aggravated sepsis induced acute lung injury

ObjectiveThis study aims to identify critical biomarkers and clarify how insomnia exacerbates sepsis-induced acute lung injury (SALI). We used integrative multi-omics approaches and machine learning.MethodsA causal association between sepsis and insomnia was established using Mendelian randomization...

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Váldodahkkit:	Jinquan Zhang, Yuwei Zhang, Zeyu Liu, Xiaona Chen, Zhengzheng Yan, Zhixia Chen, Quan Li
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Frontiers Media S.A. 2026-06-01
Ráidu:	Frontiers in Immunology
Fáttát:	biomarkers insomnia machine learning PTPN6 sepsis induced acute lung injury (SALI)
Liŋkkat:	https://www.frontiersin.org/articles/10.3389/fimmu.2026.1721749/full
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