Work

MicroRNA Signatures as Future Biomarkers for Diagnosis of Diabetes States

Year: 2019

Type: review

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.

Source: Cells

DOI: 10.3390/cells8121533

Authors: Srividya Vasu, Kenjiro Kumano, Carly M. Darden, Irum Rahman, Michael C. Lawrence, Bashoo Naziruddin

Institutions: Baylor Scott & White Research Institute, Baylor University, Baylor University Medical Center

Language: English

Topic: MicroRNA in disease regulation

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,824