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Dataset Information

Identification and validation of a novel mitochondrion-related gene signature for diagnosis and immune infiltration in sepsis.


ABSTRACT:

Background

Owing to the complex pathophysiological features and heterogeneity of sepsis, current diagnostic methods are not sufficiently precise or timely, causing a delay in treatment. It has been suggested that mitochondrial dysfunction plays a critical role in sepsis. However, the role and mechanism of mitochondria-related genes in the diagnostic and immune microenvironment of sepsis have not been sufficiently investigated.

Methods

Mitochondria-related differentially expressed genes (DEGs) were identified between human sepsis and normal samples from GSE65682 dataset. Least absolute shrinkage and selection operator (LASSO) regression and the Support Vector Machine (SVM) analyses were carried out to locate potential diagnostic biomarkers. Gene ontology and gene set enrichme

SUBMITTER: Hao S 

PROVIDER: S-EPMC10310918 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature