A diagnostic miRNA signature for pulmonary arterial hypertension using a consensus machine learning approach.

ABSTRACT:

Background

Pulmonary arterial hypertension (PAH) is a rare but life shortening disease, the diagnosis of which is often delayed, and requires an invasive right heart catheterisation. Identifying diagnostic biomarkers may improve screening to identify patients at risk of PAH earlier and provide new insights into disease pathogenesis. MicroRNAs are small, non-coding molecules of RNA, previously shown to be dysregulated in PAH, and contribute to the disease process in animal models.

Methods

Plasma from 64 treatment naïve patients with PAH and 43 disease and healthy controls were profiled for microRNA expression by Agilent Microarray. Following quality control and normalisation, the cohort was split into training and validation sets. Four separate machine learning feature select

SUBMITTER: Errington N 

PROVIDER: S-EPMC8243351 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature