Integrated bioinformatic analysis reveals YWHAB as a novel diagnostic biomarker for idiopathic pulmonary arterial hypertension
Journal of Cellular Physiology
Published online on October 14, 2018
Abstract
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- "\nAbstract\nIdiopathic pulmonary arterial hypertension (IPAH) is a severe cardiovascular
disease that is a serious threat to human life. However, the specific diagnostic
biomarkers have not been fully clarified and candidate regulatory targets for IPAH
have not been identified. The aim of this study was to explore the potential diagnostic
biomarkers and possible regulatory targets of IPAH. We performed a weighted gene
coexpression network analysis and calculated module‐trait correlations based on
a public microarray data set (GSE703) and six modules were found to be related to
IPAH. Two modules which have the strongest correlation with IPAH were further analyzed
and the top 10 hub genes in the two modules were identified. Furthermore, we validated
the data by quantitative real‐time polymerase chain reaction (qRT‐PCR) in an independent
sample set originated from our study center. Overall, the qRT‐PCR results were consistent
with most of the results of the microarray analysis. Intriguingly, the highest change
was found for YWHAB, a gene encodes a protein belonging to the 14‐3‐3 family of
proteins, members of which mediate signal transduction by binding to phosphoserine‐containing
proteins. Thus, \nYWHAB was subsequently selected for validation. In congruent with
the gene expression analysis, plasma 14‐3‐3β concentrations were significantly increased
in patients with IPAH compared with healthy controls, and 14‐3‐3β expression was
also positively correlated with mean pulmonary artery pressure (\nR\n2 = 0.8783;
\np < 0.001). Taken together, using weighted gene coexpression analysis, \nYWHAB
was identified and validated in association with IPAH progression, which might serve
as a biomarker and/or therapeutic target for IPAH."
- Journal of Cellular Physiology, EarlyView.