Circulating miRNAs and Machine Learning for Lateralizing Primary Aldosteronism.

ABSTRACT:

Background

Distinguishing between unilateral and bilateral primary aldosteronism, a major cause of secondary hypertension, is crucial due to different treatment approaches. While adrenal venous sampling is the gold standard, its invasiveness, limited availability, and often difficult interpretation pose challenges. This study explores the utility of circulating microRNAs (miRNAs) and machine learning in distinguishing between unilateral and bilateral forms of primary aldosteronism.

Methods

MiRNA profiling was conducted on plasma samples from 18 patients with primary aldosteronism taken during adrenal venous sampling on an Illumina MiSeq platform. Bioinformatics and machine learning identified 9 miRNAs for validation by reverse transcription real-time quantitative polymerase

SUBMITTER: Vekony B 

PROVIDER: S-EPMC11578053 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature