Systemic bioinformatics analysis of skeletal muscle gene expression profiles of sepsis

Yang,Fang; Wang,Yumei

doi:10.3892/etm.2018.6026

Systemic bioinformatics analysis of skeletal muscle gene expression profiles of sepsis

Authors:
- Fang Yang
- Yumei Wang
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Affiliations: Department of Critical Care Medicine, Central Hospital of Weihai, Weihai, Shandong 264400, P.R. China
Published online on: April 3, 2018 https://doi.org/10.3892/etm.2018.6026
Pages: 4637-4642
Copyright: © Yang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Sepsis is a type of systemic inflammatory response syndrome with high morbidity and mortality. Skeletal muscle dysfunction is one of the major complications of sepsis that may also influence the outcome of sepsis. The aim of the present study was to explore and identify potential mechanisms and therapeutic targets of sepsis. Systemic bioinformatics analysis of skeletal muscle gene expression profiles from the Gene Expression Omnibus was performed. Differentially expressed genes (DEGs) in samples from patients with sepsis and control samples were screened out using the limma package. Differential co‑expression and coregulation (DCE and DCR, respectively) analysis was performed based on the Differential Co‑expression Analysis package to identify differences in gene co‑expression and coregulation patterns between the control and sepsis groups. Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways of DEGs were identified using the Database for Annotation, Visualization and Integrated Discovery, and inflammatory, cancer and skeletal muscle development‑associated biological processes and pathways were identified. DCE and DCR analysis revealed several potential therapeutic targets for sepsis, including genes and transcription factors. The results of the present study may provide a basis for the development of novel therapeutic targets and treatment methods for sepsis.

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