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长链非编码RNA巨簇、微小RNA-132和微小RNA-133a的综合分析及其对糖尿病患者心血管风险和肾衰竭进展的影响

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.

作者信息

Abdelgayed Gehad, Hosni Ahmed, Abdel-Moneim Adel, Malik Abdul, Zaky Mohamed Y, Hasona Nabil A

机构信息

Molecular Physiology Division, Faculty of Science, Beni-Suef University, Beni-Suef 62511, Egypt.

Department of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh 2457, Saudi Arabia.

出版信息

Exp Ther Med. 2024 Dec 18;29(2):35. doi: 10.3892/etm.2024.12785. eCollection 2025 Feb.

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, glomerular filtration rate and LDH activity, while the healthy controls constituted the seventh group. Diabetic patients exhibited significant increases in parameters related to diabetes as fasting blood sugar, HbA1c levels, cardiac injury and kidney failure. Furthermore, the expression levels of TNF-α were significantly increased in the diabetic groups compared with healthy controls. Diabetic patients with cardiovascular dysfunction showed significantly increased expression levels of miR-132, miR-133a and lnc-MGC, compared with the healthy group. The expression of circulating miR-132 in blood was low in the groups of diabetic patients compared with the healthy controls, and demonstrated a negative correlation with LDH and HbA1C levels. Expression levels of miR-132, miR-133a and lnc-MGC, along with their correlations with LDH and HbA1C levels, could be used to distinguish diabetic patients with reduced CVD from those at early stage diabetes, which indicated their potential as biomarkers for CV complications associated with diabetes mellitus in the future.

摘要

血糖水平升高控制不佳会导致某些健康并发症,如糖尿病肾病(DN)和心血管疾病(CVD)。本研究旨在鉴定用于监测糖尿病的有效生物标志物。本研究旨在探讨长链非编码RNA巨簇(lnc-MGC)、微小RNA(miR)-132和miR-133a的意义,以及它们与乳酸脱氢酶(LDH)活性和糖化血红蛋白(HbA1C)水平的相关性,以确定糖尿病、诱导性DN和CVD早期诊断的生物标志物。本研究共纳入200例2型糖尿病患者以及40名健康受试者作为对照。糖尿病患者根据其估计的HbA1c水平、肾小球滤过率和LDH活性分为六组,而健康对照组为第七组。糖尿病患者与糖尿病相关的参数如空腹血糖、HbA1c水平、心脏损伤和肾衰竭显著增加。此外,与健康对照组相比,糖尿病组中TNF-α的表达水平显著升高。与健康组相比,患有心血管功能障碍的糖尿病患者中miR-132、miR-133a和lnc-MGC的表达水平显著升高。与健康对照组相比,糖尿病患者组血液中循环miR-132的表达较低,且与LDH和HbA1C水平呈负相关。miR-132、miR-133a和lnc-MGC的表达水平及其与LDH和HbA1C水平的相关性可用于区分患有CVD的糖尿病患者和早期糖尿病患者,这表明它们未来有可能作为与糖尿病相关的心血管并发症的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4753/11705225/b1264cfe9a45/etm-29-02-12785-g00.jpg

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