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Association of fat patterning, type 2 diabetes mellitus and MTHFR gene polymorphism: a study among the two ethnic groups of Tripura, North-East India

100%

Priyama Bhattacharya P. , Diptendu Chatterjee D. , Pranabesh Sarkar P. , Kusum Ghosh K. , Arup Ratan Bandyopadhyay A. R.

nr 3

209 - 213

Introduction. Type 2 Diabetes Mellitus (T2DM) is a group of metabolic disorders resulting from insufficient action of insulin. The etiology of T2DM is multi-factorial that includes genetic factors, obesity and lifestyles. Recent reviews of overall and stratified meta-analyses demonstrated the association between MTHFR polymorphism (C677T) including fat distribution and risk of T2DM. Publications of Indian context regarding fat patterning and MTFHR genetic polymorphism of the North East Indian population are insufficient and scant among the ethnic population of Tripura. Aim. In this backdrop, the present study is the first attempt to understand the relationship of fat patterning, MTHFR gene polymorphism and T2DM among two Tibeto-Burman speaker endogamous ethnic populations (Chakmas-the migrant group and Tripuris – the aboriginal group) of Tripura, North East India. Material and methods. The present study consists of age matched 280 males (Chakmas 147 and the Tripuris 133) from Tripura. Anthropometric and metabolic (Fasting Blood Glucose) variables and to discern obesity, blood glucose level and genotyping of MTHFR was performed following standard techniques. Results. The result revealed significant (p<0.05) association of obesity, TT genotypes and fasting blood glucose among the Chakmas with in comparison to the Tripuris. Conclusion. In this first attempt from North East India on the aspects of association of fat Patterning, Type 2 Diabetes Mellitus and MTHFR gene polymorphism suggests that the Chakmas are more diabetic, and this might be due to the concomitant effects of T alleles and higher central obesity and Percent Body Fat (PBF). More population screening from other under-represented indigenous populations of North East India is needed for prevention of metabolic disorders.

Physical activity in type 2 diabetes mellitus: a review

88%

Burooj A.

2023

tom 7

nr 1

97-105

Introduction This literature review explores the role of physical activity (PA) in managing and preventing type 2 diabetes mellitus (T2DM), synthesizing the latest guidelines for all T2DM patients. Following PRISMA guidelines, it identifies specific areas for further research. Material and Methods Indexing services (PubMed and Scopus) were used to identify relevant studies, emphasizing original research, review articles, and updated institutional guidelines spanning 2017-2023. The following keywords were used: diabetes, physical activity, type 2 diabetes mellitus, PA, and exercise. Proposal and opinion articles, non-English papers (or those lacking full-text translation), studies involving non-human subjects, pediatric populations or with skewed gender distribution were excluded. Results PA improves quality of life, BMI, glycemic control and well-being. Effects vary by activity domain, such as work or leisure time. Recommendations suggest 60 daily minutes of exercise for children, 150 weekly minutes of moderate intensity exercise for adults, and screening for adverse events. A “sit-less” approach is proposed for those unable to maintain regular activity, with glycemic monitoring for those with variability. Conclusions PA is crucial in T2DM management. Conflicting findings regarding glycemic control warrant further investigation to ascertain causes, whether related to bias or other factors.

Lead II electrocardiograph-derived entropy index for autonomic function assessment in type 2 diabetes mellitus

51%

Yang S. , Liao X. , Lin Y. , Chen J. , Wu H.

tom Vol. 44, no. 3

513--520

The aim of this study was to introduce and evaluate the baroreflex entropy index (BEI), a novel tool derived from standard lead II electrocardiograph (EKG) for autonomic function (AF) assessment in type 2 diabetes mellitus (T2DM). Researchers with distinct roles (analysis and data preparation) analyzed anonymized EKG data from healthy controls and two patient groups with T2DM (well controlled and poorly controlled). BEI was compared between groups, and correlations with glycemic markers (HbA1c, fasting glucose) were investigated. Logistic regression was used to assess the association between BEI and T2DM risk. BEI showed good repeatability and differentiation between groups. Notably, it required only single-lead EKG. BEI was inversely correlated with glycemic markers, suggesting improved baroreflex regulation with better glycemic control. BEI also out-performed small-scale multiscale entropy in group discrimination. Logistic regression identified BEI as a protective factor for T2DM. BEI represents a promising tool for monitoring AF, assessing glycemic control, and potentially stratifying T2DM risk. Further validation in larger longitudinal studies and an exploration of the applicability of BEI to other diseases are warranted.