Predicting cardiovascular complications in chronic kidney disease using microRNAs in blood

Tiny RNA molecules carried by extracellular vesicles in the bloodstream can accurately predict kidney function decline and cardiovascular risk in chronic kidney disease (CKD), as reported by researchers from Science Tokyo. By analyzing blood samples from a large cohort, the team identified multiple microRNAs linked to disease progression and built a model to distinguish high-risk patients with CKD. Clinically applying this risk score model can contribute to improved patient outcomes.

This article was originally published on MedicalXpress.com

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