Circulating RNAs as predictive markers for the progression of type 2 diabetes
Autor: | David Baxter, Markku Laakso, Patricia Andrade-Gordon, Yong Li, Johanna Kuusisto, Kai Wang, Thomas M Connolly, Taek-Kyun Kim, Xiaogang Wu, Vikas Ghai |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Male
Small RNA obesity endocrine system diseases 030209 endocrinology & metabolism Type 2 diabetes prediabetes Bioinformatics 03 medical and health sciences 0302 clinical medicine Diabetes mellitus microRNA medicine Humans Prediabetes 030304 developmental biology Aged 0303 health sciences diabetes business.industry Gene Expression Profiling Type 2 Diabetes Mellitus nutritional and metabolic diseases Cell Biology Original Articles Middle Aged medicine.disease Prognosis Obesity 3. Good health microRNAs Diabetes Mellitus Type 2 Case-Control Studies Disease Progression Molecular Medicine Biomarker (medicine) biomarker Original Article business Cell-Free Nucleic Acids Biomarkers |
Zdroj: | Journal of Cellular and Molecular Medicine |
ISSN: | 1582-4934 1582-1838 |
Popis: | Type 2 Diabetes Mellitus (T2DM) is the most prevalent form of diabetes in the USA, thus, the identification of biomarkers that could be used to predict the progression from prediabetes to T2DM would be greatly beneficial. Recently, circulating RNA including microRNAs (miRNAs) present in various body fluids have emerged as potential biomarkers for various health conditions, including T2DM. Whereas studies that examine the changes of miRNA spectra between healthy controls and T2DM individuals have been reported, the goal of this study is to conduct a baseline comparison of prediabetic individuals who either progress to T2DM, or remain prediabetic. Using an advanced small RNA sequencing library construction method that improves the detection of miRNA species, we identified 57 miRNAs that showed significant concentration differences between progressors (progress from prediabetes to T2DM) and non‐progressors. Among them, 26 have been previously reported to be associated with T2DM in either body fluids or tissue samples. Some of the miRNAs identified were also affected by obesity. Furthermore, we identified miRNA panels that are able to discriminate progressors from non‐progressors. These results suggest that upon further validation these miRNAs may be useful to predict the risk of conversion to T2DM from prediabetes. |
Databáze: | OpenAIRE |
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