网络分析发现循环的miR-155是肥胖患者2型糖尿病发展的预测生物标志物:试点研究
Giuseppina Catanzaro1, Federica Conte2, Sofia Trocchianesi1
1Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy.
Scientific reports
|November 9, 2023
概括
这项研究确定了miR-155-5p作为预测肥胖个体2型糖尿病 (DM2) 风险的潜在生物标志物. 将miR-155-5p与IL-8等炎症标记物结合起来,可能有助于识别那些最有风险的人.
科学领域:
- 生物化学 生物化学
- 遗传学 遗传学 是一个
- 内分泌学 在内分泌学.
背景情况:
- 肥胖是非传染性疾病的主要风险因素,通常缺乏评估并发症风险的特定标志物.
- 目前用于代谢变化和炎症的方法缺乏特异性,阻碍了早期识别高风险个体.
- 循环中的microRNAs为早期查与肥胖相关的并发症提供了一个有希望的途径.
研究的目的:
- 确定循环中的microRNAs,可以识别患有2型糖尿病 (DM2) 风险较高的肥胖患者.
- 研究自由和细胞外囊泡 (EV) 嵌入的微RNA作为肥胖中DM2风险的生物标志物的潜力.
- 为了将microRNA表达与临床数据进行风险分层相关联.
主要方法:
- 权重基因共同表达网络分析 (WGCNA) 用于将来自肥胖 (OB),患有DM2肥胖 (OBDM) 和健康捐赠者的循环microRNA表达数据与临床数据相结合.
- 鉴定的microRNAs的表达在单独的患者队列中得到验证.
- 使用基于网络的方法来分析微RNA和临床参数之间的复杂关系.
主要成果:
- 与OB和健康对照人群相比,在OBDM患者中发现有6种循环中的microRNA过度表达.
- 在一个验证队列中,在OBDM患者中证实了miR-155-5p的过度表达.
- 结合miR-155-5p与血清IL-8,莱普和RAGE水平,有效识别了患有DM2风险更高的肥胖患者.
结论:
- miR-155-5p显示出作为一种循环生物标志物的潜力,用于在肥胖个体中早期检测2型糖尿病.
- 将miR-155-5p与炎症标志物 (IL-8,莱普,RAGE) 结合起来,可以提高肥胖患者对DM2风险的预测.
- 这种方法可以改善与肥胖有关的并发症的风险分层和个性化管理策略.
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