Regulatory Roles of MicroRNAs in the Pathogenesis of Metabolic Syndrome.
Md Abdur RahmanMd Mahmodul IslamMd Abdur Rahman RiponMd Monirul IslamMohammad Salim HossainPublished in: Molecular biotechnology (2023)
Metabolic syndrome refers to a group of several disease conditions together with high glucose triglyceride levels, high blood pressure, lower high-density lipoprotein level, and large waist circumference. About 400 million people worldwide, one-third of the Euro-American population and 27% Chinese population over age 50 have it. microRNAs, an abundant novel class of endogenous small, non-coding RNAs in eukaryotic cells, act as negative controllers of gene expression by promoting either degradation/translational repression of target messenger RNA. More than 2000 microRNAs in the human genome have been identified and they are implicated in various biological & pathophysiological processes, including glucose homeostasis, inflammatory response, and angiogenesis. Destruction of microRNAs has a crucial role in the pathogenesis of obesity, cardiovascular disease, and diabetes. Recently the discovery of circulating microRNAs in human serum may help to promote metabolic crosstalk between organs and serves as a novel approach for the identification of various diseases, like Type 2 diabetes & atherosclerosis. In this review, we will discuss the most recent and up-to-date research on the pathophysiology and histopathology of metabolic syndrome besides their historical background and epidemiological highlight. As well as search the methodologies employed in this field of research and the potential role of microRNAs as novel biomarkers and therapeutic targets for metabolic syndrome in the human body. Furthermore, the significance of microRNAs in promising strategies, like stem cell therapy, which holds enormous promise for regenerative medicine in the treatment of metabolic disorders will also be discussed.
Keyphrases
- metabolic syndrome
- endothelial cells
- type diabetes
- cardiovascular disease
- insulin resistance
- cell therapy
- gene expression
- inflammatory response
- high glucose
- high density
- uric acid
- body mass index
- cardiovascular risk factors
- stem cells
- induced pluripotent stem cells
- transcription factor
- mesenchymal stem cells
- glycemic control
- toll like receptor
- small molecule
- big data
- bone marrow
- body weight
- combination therapy
- cell death
- deep learning
- hypertensive patients
- human health