作者: Aradhana Mohan , Ravi Shankar Singh , Manju Kumari , Devika Garg , Aditya Upadhyay
DOI: 10.1371/JOURNAL.PONE.0154055
关键词:
摘要: Non-invasive renal signatures can help in serial monitoring of diabetic patients. We tested whether urinary exosomal (UE) microRNA (miR) analysis could non-invasively predict pathology rats during the course diabetes. Diabetes mellitus (DM) was induced male Wistar by a single intraperitoneal injection streptozotocin (STZ, 50 mg/kg body weight). Non-diabetic control (CTRL) were injected with vehicle. Insulin (INS) treatment (5U/d, s.c.) provided to 50% DM rats. Urine samples collected at weeks 3, 6, and 9 following injections UE prepared. An increase miR-451-5p miR-16, observed pilot small RNA sequencing RNA, confirmed quantitative real-time polymerase chain reaction (qPCR) selected for further study. Subsets euthanized after diabetes analysis, including determination tubulointerstitial fibrotic index (TFI) glomerulosclerotic (GI) scores. qPCR showed substantial rise from diabetes, significant (median fold change >1000) between 3 6 weeks. Moreover, predicted urine albumin (r = 0.76). A delayed but also miR-16. In contrast, mean only increased 21% (non-significant rise), TFI GI unchanged till Renal expression miR-16 (at 10 weeks) did not correlate levels, moreover, negatively associated indices (r≥-0.70, p 0.005 r≥-0.6, p≤0.02 GI). Overall, relative elevation appeared protective against diabetes-induced kidney fibrosis; while may hold prognostic value as an early sensitive non-invasive indicator disease.