Integrated analysis of long non‑coding RNA megacluster, microRNA‑132 and microRNA‑133a and their implications for cardiovascular risk and kidney failure progression in diabetic patients.

ABSTRACT: Inefficient control of elevated blood sugar levels can lead to certain health complications such as diabetic nephropathy (DN) and cardiovascular disease (CVD). The identification of effective biomarkers for monitoring diabetes was performed in the present study. The present study aimed to investigate the implications of long non-coding RNA megacluster (lnc-MGC), microRNA (miR)-132 and miR-133a, and their correlation with lactate dehydrogenase (LDH) activity and glycated hemoglobin (HbA1C) levels to identify biomarkers for the early diagnosis of diabetes mellitus, induced DN and CVD. The present study included a total of 200 patients with type 2 diabetes, as well as 40 healthy subjects as controls. The diabetic patients were classified into six groups based on their estimated HbA1c level, g

SUBMITTER: Abdelgayed G 

PROVIDER: S-EPMC11705225 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature