Comparative study of disease progression for heart failure with different etiologies via time-ordered network analysis.

ABSTRACT:

Objectives

Heart failure (HF), the primary end-stage manifestation of multiple cardiovascular diseases, has become a global epidemic with high morbidity and mortality. However, the mechanisms underlying the pathogenesis of HF with different etiologies have yet to be fully elucidated.

Methods

In this study, we developed a novel method to determine the dysregulated lncRNA-mRNA regulation pairs (LMRPs) in the different causes that lead to HF. Time-ordered dysregulated lncRNA-mRNA regulation networks were constructed for comparing the HF progression initiated from different causes. Additionally, the random forest and support vector machine classification algorithm were applied to identify HF-related diagnostic biomarkers.

Results

Biological functional analysis indicated t

SUBMITTER: Sun H 

PROVIDER: S-EPMC9556474 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature