Archive | 2021

Crucial Biomarkers for Pulmonary Arterial Hypertension (PAH) by Transcriptome Comparison with Idiopathic Pulmonary Fibrosis with and without PH and Identification of Essential Signaling Pathways- A Meta Analysis and Bioinformatics Study

 

Abstract


The development of pulmonary arterial hypertension (group I PH) complicates many interstitial lung diseases, including idiopathic pulmonary fibrosis (IPF) mostly present with underlined pulmonary hypertension, is suspected to be an independent risk factor for mortality in chronic lung diseases. This meta-analysis of transcriptomics study of pulmonary arterial hypertension and pulmonary fibrosis associated with and without pulmonary hypertension aims to utilize current evidences to extract novel genetic identifiers specifically for PAH in order to identify it among all 5 groups of pulmonary hypertension in IPF patients using pre existing vast number of observational experimental databases freely accessible publicly to facilitate early diagnosis of PAH and thereby improving its therapeutics. This meta-analysis framework extracts expression intensity features from each study, corresponding to genes that are consistently among the highly significant differentially expressed genes (DEGs) in PAH and IPF (with and without PH). J Bioinform Syst Biol 2021; 4 (3): 74-102 DOI: 10.26502/jbsb.5107022 Journal of Bioinformatics and Systems Biology Vol. 4 No. 3 – September 2021 75 Comparative study with a relevant effect size, highly précised confidence interval establishing global ties between transcriptomics studies without any publication bias using review manager tool (Revman 5.4) and further microarray analysis of specified groups done by transcriptome analysis console (TAC 4.0).

Volume None
Pages None
DOI 10.26502/jbsb.5107022
Language English
Journal None

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