Pancreas-enriched miRNAs are altered in the circulation of subjects with diabetes: a pilot cross-sectional study

被引:151
作者
Seyhan, Attila A. [1 ,2 ,3 ]
Lopez, Yury O. Nunez [1 ]
Xie, Hui [1 ]
Yi, Fanchao [1 ]
Mathews, Clayton [4 ]
Pasarica, Magdalena [5 ]
Pratley, Richard E. [1 ,3 ]
机构
[1] Florida Hosp, Translat Res Inst Metab & Diabet, Orlando, FL 32803 USA
[2] MIT, Dept Chem Engn, MIT Res Affiliate, Cambridge, MA 02139 USA
[3] Sanford Burnham Med Res Inst, Orlando, FL 92037 USA
[4] Univ Florida, Dept Pathol Immunol & Lab Med, Gainesville, FL USA
[5] Univ Cent Florida, Coll Med Hosp, Orlando, FL 32816 USA
关键词
CELL-DEATH; MICRORNAS; BIOMARKERS; MIR-375; DISEASE;
D O I
10.1038/srep31479
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
The clinical presentation of diabetes sometimes overlaps, contributing to ambiguity in the diagnosis. Thus, circulating pancreatic islet-enriched microRNAs (miRNAs) might be useful biomarkers of beta-cell injury/dysfunction that would allow more accurate subtyping of diabetes. We measured plasma levels of selected miRNAs in subjects with prediabetes (n = 12), type 2 diabetes (T2D, n = 31), latent autoimmune diabetes of adults (LADA, n = 6) and type 1 diabetes (T1D, n = 16) and compared them to levels in healthy control subjects (n = 27). The study was conducted at the Translational Research Institute for Metabolism and Diabetes (TRI-MD), Florida Hospital. MiRNAs including miR-375 (linked to beta-cell injury), miR-21 (associated with islet inflammation), miR-24.1, miR-30d, miR-34a, miR-126, miR-146, and miR-148a were significantly elevated in subjects with various forms of diabetes compared to healthy controls. Levels of several miRNAs were significantly correlated with glucose responses during oral glucose tolerance testing, HbA(1c), beta-cell function, and insulin resistance in healthy controls, prediabetes, and T2D. These data suggest that miRNAs linked to beta-cell injury and islet inflammation might be useful biomarkers to distinguish between subtypes of diabetes. This information could be used to predict progression of the disease, guide selection of optimal therapy and monitor responses to interventions, thus improving outcomes in patients with diabetes.
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页数:15
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