Mi-RNA-93 和 Mi-RNA-152 在 2 型糖尿病和糖尿病视网膜病变诊断中的应用。

IF 2.7 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
British Journal of Biomedical Science Pub Date : 2022-01-21 eCollection Date: 2022-01-01 DOI:10.3389/bjbs.2021.10192
A A Saleh, S M El-Hefnawy, Z A Kasemy, A A Alhagaa, M Z Nooh, E S Arafat
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引用次数: 0

摘要

背景和目的:糖尿病(DM)是一种慢性疾病,糖尿病视网膜病变(DR)是其主要微血管病变之一,也是视力丧失的主要原因。微RNA(miRNA)的失调与糖尿病视网膜病变等一些糖尿病微血管并发症有关。本研究假设糖尿病和糖尿病视网膜病变患者血清中 miR-93 和 miR-152 的变化。研究方法研究对象包括 80 名健康志愿者、80 名 2 型糖尿病患者和 80 名糖尿病视网膜病变患者,其中 40 人为增殖性视网膜病变(PDR),40 人为非增殖性视网膜病变(NPDR)。血清空腹血糖和餐后 2 小时血糖(2hPP)、糖化血红蛋白(HbA1c)、空腹胰岛素和 HOMA-IR 采用常规方法进行评估,miR-93 和 miR-152 的表达采用定量实时 PCR 方法进行评估。结果显示各组的 FBG、2hPP、空腹胰岛素、HOMA-IR 和 miR-152 均呈上升趋势,而 miR-93 则呈下降趋势(均 p <0.001)。预测 DR 的二元逻辑回归分析发现,miR-152(OR 1.37,95% CI:1.18-1.58,p = 0.004)、病程(1.29 [1.04-1.6] p = 0.018)和 miR-152 (0.01,[0.0-0.47] p = 0.019)是最显著的预测指标。PDR最重要的预测因子是miR-152(OR = 1.47,95% CI:1.12-1.92,p = 0.005)、HOMA-IR(2.66 [1.30-5.45] p = 0.007)和miR-93(0.25 [0.07-0.86] p = 0.028)。结论MiR-93 和 miR-152 可以区分糖尿病患者和 DR 患者。这两种 miRNA 可能是糖尿病和糖尿病视网膜病变,尤其是增殖性糖尿病视网膜病变的潜在生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mi-RNA-93 and Mi-RNA-152 in the Diagnosis of Type 2 Diabetes and Diabetic Retinopathy.

Mi-RNA-93 and Mi-RNA-152 in the Diagnosis of Type 2 Diabetes and Diabetic Retinopathy.

Background and Aim: Diabetes mellitus (DM) is a chronic disorder with diabetic retinopathy (DR) as one of its main microvascular outcomes, being a prime cause of vision loss. Dysregulation of microRNAs (miRNAs) has been associated with some diabetic microvascular complications such as diabetic retinopathy. This hypothesised changes in the serum of miR-93 and miR-152 in diabetes and diabetic retinopathy. Methods: The study cohort consisted of 80 healthy volunteers, 80 type 2 diabetic patients, and 80 diabetic retinopathy patients, of whom 40 had proliferative (PDR) and 40 non-proliferative retinopathy (NPDR). Serum fasting and 2-hour postprandial glucose (2hPP), glycated haemoglobin (HbA1c), fasting insulin, and HOMA-IR were evaluated by routine methods, miR-93 and miR-152 expression by quantitative real-time PCR. Results: FBG, 2hPP, fasting insulin, HOMA-IR, and miR-152 showed an increasing trend across groups while miR-93 showed a decreasing trend (all p < 0.001). Binary logistic regression analysis for prediction of DR found that the most significant were miR-152 (OR 1.37, 95% CI: 1.18-1.58, <0.001), BMI (1.13, [1.07-1.31], p = 0.004), duration of disease (1.29 [1.04-1.6] p = 0.018), and miR-152 (0.01, [0.0-0.47] p = 0.019). The most significant predictors of PDR were miR-152 (OR = 1.47, 95% CI: 1.12-1.92, p = 0.005), HOMA-IR (2.66 [1.30-5.45] p = 0.007), and miR-93 (0.25 [0.07-0.86] p = 0.028). Conclusion: MiR-93 and miR-152 can differentiate patients with diabetes and those with DR. Both miRNAs might be potential biomarkers for diabetes and diabetic retinopathy, and specifically for proliferative diabetic retinopathy.

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来源期刊
British Journal of Biomedical Science
British Journal of Biomedical Science 医学-医学实验技术
CiteScore
4.40
自引率
15.80%
发文量
29
审稿时长
>12 weeks
期刊介绍: The British Journal of Biomedical Science is committed to publishing high quality original research that represents a clear advance in the practice of biomedical science, and reviews that summarise recent advances in the field of biomedical science. The overall aim of the Journal is to provide a platform for the dissemination of new and innovative information on the diagnosis and management of disease that is valuable to the practicing laboratory scientist.
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