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MicroRNA Signatures as Future Biomarkers for Diagnosis of Diabetes States.

ABSTRACT: Diabetes results from the inability of pancreatic islets to maintain blood glucose concentrations within a normal physiological range. Clinical features are usually not observed until islets begin to fail and irreversible damage has occurred. Diabetes is generally diagnosed based on elevated glucose, which does not distinguish between type 1 and 2 diabetes. Thus, new diagnostic approaches are needed to detect different modes of diabetes before manifestation of disease. During prediabetes (pre-DM), islets undergo stress and release micro (mi) RNAs. Here, we review studies that have measured and tracked miRNAs in the blood for those with recent-onset or longstanding type 1 diabetes, obesity, pre-diabetes, type 2 diabetes, and gestational diabetes. We summarize the findings on miRNA signatures with the potential to stage progression of different modes of diabetes. Advances in identifying selective biomarker signatures may aid in early detection and classification of diabetic conditions and treatments to prevent and reverse diabetes.

SUBMITTER: Vasu S

PROVIDER: S-EPMC6953078 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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MicroRNA Signatures as Future Biomarkers for Diagnosis of Diabetes States.

Vasu Srividya S Kumano Kenjiro K Darden Carly M CM Rahman Irum I Lawrence Michael C MC Naziruddin Bashoo B

Cells 20191128 12

Diabetes results from the inability of pancreatic islets to maintain blood glucose concentrations within a normal physiological range. Clinical features are usually not observed until islets begin to fail and irreversible damage has occurred. Diabetes is generally diagnosed based on elevated glucose, which does not distinguish between type 1 and 2 diabetes. Thus, new diagnostic approaches are needed to detect different modes of diabetes before manifestation of disease. During prediabetes (pre-DM ...[more]

PMID: 31795194

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MicroRNA Signatures as Future Biomarkers for Diagnosis of Diabetes States.

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MicroRNA Signatures as Future Biomarkers for Diagnosis of Diabetes States.

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