Department of Physiological Nursing, 8785University of California, San Francisco, CA, USA.
Institute for Human Genetics, 8785University of California, San Francisco, CA, USA.
Diab Vasc Dis Res. 2021 Nov-Dec;18(6):14791641211055837. doi: 10.1177/14791641211055837.
MicroRNAs (miRs) may be important regulators of risk for type 2 diabetes (T2D). Circulating miRs may provide information about which individuals are at risk for T2D. The purpose of this study was to assess longitudinal associations between circulating miR expression and variability in fasting blood glucose (FBG) and to identify miR-targeted genes and biological pathways.
Variability in FBG was estimated using standard deviation from participants ( = 20) in a previously completed yoga trial. Expression of 402 miRs was measured using hydrogel particle lithography. MirTarBase was used to identify mRNAs, and miRPathDB was used to identify pathways targeted by differentially expressed miRs.
Six circulating miRs (miR-192, miR-197, miR-206, miR-424, miR-486, and miR-93) were associated with variability in FBG and targeted 143 genes and 23 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Six mRNAs (, , , , , and ) were targeted by at least two miRs and four of those were located in miR-targeted KEGG pathways.
Circulating miRs are associated with variability in FBG in individuals at risk for T2D. Further studies are needed to determine whether miRs may be prodromal biomarkers that can identify which individuals are at greatest risk to progress to T2D and which biological pathways underlie this risk.
microRNAs（miRs）可能是 2 型糖尿病（T2D）风险的重要调节因子。循环 miR 可能提供有关哪些个体存在 T2D 风险的信息。本研究旨在评估循环 miR 表达与空腹血糖（FBG）变异性之间的纵向关联，并确定 miR 靶向基因和生物学途径。
使用先前完成的瑜伽试验中参与者的标准差（=20）来估计 FBG 的变异性。使用水凝胶颗粒光刻术测量 402 种 miR 的表达。使用 MirTarBase 识别 mRNAs，使用 miRPathDB 识别差异表达的 miR 靶向的途径。
6 种循环 miR（miR-192、miR-197、miR-206、miR-424、miR-486 和 miR-93）与 FBG 变异性相关，并靶向 143 个基因和 23 个京都基因与基因组百科全书（KEGG）途径。至少有两个 miR 靶向 6 个 mRNAs（、、、、和），其中 4 个位于 miR 靶向的 KEGG 途径中。
循环 miR 与 T2D 风险个体的 FBG 变异性相关。需要进一步研究以确定 miR 是否可能是预示性生物标志物，可识别哪些个体处于进展为 T2D 的最大风险中，以及哪些生物学途径是这种风险的基础。
