Network analysis identifies a gene biomarker panel for sepsis-induced acute respiratory distress syndrome

BMC Medical Genomics

Research

Mi Zhou¹  Xiangdong Zhou²  Houli Zhang²  Duan Zhu²  Jianlin Hu²  Hu Luo²  Liang Gong² 

[1] Department of Biochemistry and Molecular Biology, Army Medical University, Chongqing, China;Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Army Medical University (Southwest Hospital), No.30 Gaotanyan Main Street, 400038, Chongqing, China;

关键词: Acute respiratory distress syndrome;    Sepsis;    Network analysis;    Gene biomarker panel;    AUC;   

DOI  :  10.1186/s12920-023-01595-8

 received in 2022-10-26, accepted in 2023-06-28,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundAcute respiratory distress syndrome (ARDS) is characterized by non-cardiogenic pulmonary edema caused by inflammation, which can lead to serious respiratory complications. Due to the high mortality of ARDS caused by sepsis, biological markers that enable early diagnosis are urgently needed for clinical treatment.MethodsIn the present study, we used the public microarray data of whole blood from patients with sepsis-induced ARDS, patients with sepsis-alone and healthy controls to perform an integrated analysis based on differential expressed genes (DEGs) and co-expression network to identify the key genes and pathways related to the development of sepsis into ARDS that may be key targets for diagnosis and treatment.ResultsCompared with controls, we identified 180 DEGs in the sepsis-alone group and 152 DEGs in the sepsis-induced ARDS group. About 70% of these genes were unique to the two groups. Functional analysis of DEGs showed that neutrophil-mediated inflammation and mitochondrial dysfunction are the main features of ARDS induced by sepsis. Gene network analysis identified key modules and screened out key regulatory genes related to ARDS. The key genes and their upstream regulators comprised a gene panel, including EOMES, LTF, CSF1R, HLA-DRA, IRF8 and MPEG1. Compared with the healthy controls, the panel had an area under the curve (AUC) of 0.900 and 0.914 for sepsis-alone group and sepsis-induced ARDS group, respectively. The AUC was 0.746 between the sepsis-alone group and sepsis-induced ARDS group. Moreover, the panel of another independent blood transcriptional expression profile dataset showed the AUC was 0.769 in diagnosing sepsis-alone group and sepsis-induced ARDS group.ConclusionsTaken together, our method contributes to the diagnosis of sepsis and sepsis-induced ARDS. The biological pathway involved in this gene biomarker panel may also be a critical target in combating ARDS caused by sepsis.

【 授权许可】

CC BY   
© The Author(s) 2023

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