Predicting cardiovascular complications in chronic kidney disease using microRNAs in blood
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Jun-2026 12:16 ET (22-Jun-2026 16:16 GMT/UTC)
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.
As people age, it becomes harder to know who is on track for healthy years ahead and who may be at higher risk for serious decline. A new study suggests that part of the answer may already be circulating in the bloodstream.