Identification of the potential biomarkers associated with circadian rhythms in heart failure

PeerJ

article

Qiang Sun¹  Jun Zhao²  Li Liu²  Xiaoliang Wang²  Xinshun Gu¹ 

[1] Department of Cardiology, The Second Hospital of Hebei Medical University;Department of Cardiology, The First Hospital of Qinhuangdao

关键词: Heart failure;    Circadian rhythms;    Biomarker;    Bioinformatics analysis;   

DOI  :  10.7717/peerj.14734

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

BackgroundHeart failure (HF) is a syndrome with multiple clinical symptoms resulting from damage to the heart’s structure and/or function with various pathogenic factors, which has developed as one of the most severe threats to human health. Approximately 13% of genes and about 8% of proteins contained in the heart are rhythmic, which could lead to HF if disrupted. Herein, we aimed to identify the circadian rhythms-related hub genes as potential biomarkers contributing to the identification and treatment of HF.MethodsExpression data of ischemic and dilated cardiomyopathy samples with or without HF were collected from the GEO database. First, genes with differential expression in HF and healthy samples were identified, named as differentially expressed genes (DEGs), which were then intersected with circadian rhythms-related genes to identify circadian rhythms-related DEGs. A protein-protein interaction (PPI) network was established to screen hub genes. The performance of the hub genes to identify HF among healthy controls was assessed by referring to the receiver operating characteristic (ROC) curve. Additionally, quantitative real-time polymerase chain reaction (RT-PCR) was run to further validate the hub genes depending on clinical human peripheral blood samples.Results 0.7, which also showed high accuracy validated by the external validation dataset. Furthermore, according to the results of quantitative RT-PCR, the HF group showed significantly increased relative mRNA expression of CRY2 and BHLHE41 while the decreased ARNTL and NPAS2 in comparison to controls, indicating the four hub genes as potential biomarkers of HF.ConclusionOur study validated that ARNTL, CRY2, BHLHE41 and NPAS2 could serve as potential biomarkers of circadian rhythm in HF. These results may provide a reference for employing novel markers or targets for the diagnosis and treatment of HF.

【 授权许可】

CC BY