Detection of differentially expressed circulating micro-RNA among Indians with Type 2 Diabetes using a global expression profile and systematic analysis
Keywords:microRNA, Diabetes, circulating, global, expression
Introduction and Aim: In recent years research on molecular mechanisms leading to Type 2 Diabetes Mellitus (T2DM) has discovered the promising role of microRNA (miRNA) as an early biomarker for the diagnosis of the clinical state. However, there is a lack of data from the Indian population exploring the global expression of circulating miRNA using precise and sensitive methods. The aim was to identify and quantify the circulating miRNAs from biological samples of T2DM and healthy controls using the Nanostring nCounter Platform.
Material and Methods: The miRNA analysis was performed using the NanoString nCounter platform. The T2DM patients within a duration of 5 to 15 years without any complications were recruited. The healthy controls were identified without any chronic diseases. The NanoString nCounter platform probes were used to detect the newly discovered miRNAs in the chosen panel of nearly 800 miRNAs.
Results: Our analysis has identified many unique miRNAs that are not reported earlier such as miR -25-3p, miR451a, miR365a, miR-129-2, miR-1271, miR572, and others.
Conclusion: Identification of differential patterns of circulating miRNAs could offer optimistic chances for managing T2DM diagnostically and prognostically. The specific expansion of the miRNAs to know the intercommunication among miRNAs and other genes involved in the development of T2DM must be further explored to uncover the potential role in clinical practice.
Khan, M. R., Babu, S. V., KuzhandaiVelu, V. Association of serum adenosine deaminase level with atherosclerotic index in type 2 diabetes mellitus patients. Biomedicine. 2021 Apr 3;41(1):150-152
Nanditha, A., Ma, R.C., Ramachandran, A., Snehalatha, C., Chan, J.C., Chia, K.S., et al., Diabetes in Asia and the Pacific: Implications for the global epidemic. Diabetes Care. 2016; 39(3):472-485.
Nebhinani, M., Avasthi, R. D., Meena, M., Parihar, M., Sharma, M., Nagar, M. Barriers related to self care management among people with diabetes mellitus A narrative review. Biomedicine. 2022 Sep 12;42(4):628-634.
Booth, F.W., Roberts, C.K., Laye, M.J. Lack of exercise is a major cause of chronic diseases. Compr Physiol. 2012; 2(2): 1143-1211.
Condrat, C.E., Thompson, D.C., Barbu, M.G., Bugnar, O.L., Boboc, A., Cretoiu, D., et al., MiRNAs as biomarkers in disease: Latest findings regarding their role in diagnosis and prognosis. Cells. 2020;9(2):276.
Chamberlain, J.J., Rhinehart, A.S., Shaefer, C.F, Jr., Neuman, A. Diagnosis and management of diabetes: Synopsis of the 2016 American Diabetes Association Standards of Medical Care in Diabetes. Ann Intern Med. 2016;164(8):542-552.
Tsang, H.F., Xue, V.W., Koh, S.P., Chiu, Y.M., Ng, L.P., Wong, S.C. NanoString, a novel digital color-coded barcode technology: current and future applications in molecular diagnostics. Expert Rev Mol Diagn. 2017;17(1):95-103.
Huang, H.Y., Lin, Y.C., Li, J., Huang, K.Y., Shrestha, S., Hong, H.C., et al., MiRTarBase 2020: updates to the experimentally validated microRNA-target interaction database. Nucleic Acids Res. 2020;48:148-154.
Park, S., Moon, S., Lee, K., Park, I.B., Lee, D.H., Nam, S. MiR2Diabetes: a literature-curated database of microRNA expression patterns, in diabetic microvascular complications. Genes. 2019;10(10):784.
Huang, Z., Shi, J., Gao, Y., Cui, C., Zhang, S., Li, J. HMDD v3.0: a database for experimentally supported human microRNA disease associations. Nucleic Acids Res. 2019;47:1013-1017.
Backes, C., Khaleeq, Q.T., Meese, E., Keller, A. MicroRNA enrichment analysis and annotation. Nucleic Acids Res. 2016;44(1):110-116.
Ivelina, M., Maria, M., Mariela, H. S., Veronika, P., Rumen, N., Markova, T., et al., Type and frequency of genetic variants for cardiovascular riskin patients with type 2 diabetes mellitus. Biomedicine. 2021 Sep 7;41(2):382-389.
Kong, L., Zhu, J., Han, W., Jiang, X., Xu, M., Zhao, Y., et al., Significance of serum microRNAs in pre diabetes and newly diagnosed type 2 diabetes: a clinical study. Acta Diabetologia. 2011;48:61-69.
Higuchi, C., Nakatsuka, A., Eguchi, J., Teshigawara, S., Kanzaki, M., Katayama, et al., Identification of circulating miR-101, miR-375 and miR-802 as biomarkers for type 2 diabetes. Metabolism. 2015;64(4):489-497.
Wang, X., Sundquist, J., Zoller, B., Memon, A.A., Palmer, K., Sundquist, K., et al., Determination of 14 circulating microRNAs in Swedes and Iraqis with and without diabetes mellitus type 2. PloS one. 2014;9(1):e86792.
Karolina, D.S., Tavintharan, S., Armugam, A., Sepramaniam, S., Pek, S.L., Wong, M.T., et al., Circulating miRNA profiles in patients with metabolic syndrome. J Clin Endocrinol Metab. 2012;97(12):2271-2276.
Pescador, N., Perez Barba, M., Ibarra, J.M., Corbaton, A., Martinez-Larrad, M.T., Serrano Rios, M. Serum circulating microRNA profiling for identification of potential type 2 diabetes and obesity biomarkers. PloS one. 2013;8(10): e77251.
Zhu, H., Leung, S.W. Identification of microRNA biomarkers in type 2 diabetes: a meta analysis of controlled profiling studies. Diabetologia. 2015;58(5):900-911.
Su, T., Hou, J., Liu, T., Dai, P., Qin, L., Ding, L., et al., MiR-34a-5p and miR-452-5p: The novel regulators of pancreatic endocrine dysfunction in diabetic zucker rats? Int J Med Sci. 2021;18(14):3171-3181.
Sucharita, S., Ashwini, V., Prabhu, J.S., Avadhany, S.T., Ayyar, V., Bantwal, G. The role of circulating microRNA in the regulation of beta cell function and insulin resistance among Indians with Type 2 diabetes. Indian J Endocrinol Metab. 2018 ;22(6):770-773.
Kaur, P., Kotru, S., Singh, S., Behera, B.S., Munshi, A. Role of miRNAs in the pathogenesis of T2DM, insulin secretion, insulin resistance, and beta cell dysfunction: the story so far. J Physiol Biochem. 2020;76(4):485-502.
How to Cite
Copyright (c) 2023 Biomedicine
This work is licensed under a Creative Commons Attribution 4.0 International License.