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In Ayurveda, every individual is believed to possess a unique entity known as Prakriti, which distinguishes them from others physically, physiologically, and psychologically. This entity also determines an individual's response to a particular stimulus, and it is believed that such responses are not solely determined by genetics. The present research aims to validate the Ayurvedic concept of Prakriti from a modern molecular perspective to strengthen the personalized and precise treatment approach. A study was conducted to investigate the role of the KCNJ11gene in the susceptibility of individuals to type 2 diabetes mellitus (T2DM) with their metabolic status. The research involved allele mining on three major Prakriti groups - Vata, Pitta, and Kapha - in 112 patients with T2DM and 112 healthy individuals. The KCNJ11 gene, responsible for insulin secretion membrane pore formation, was analyzed to determine the susceptibility of different Prakriti types to T2DM. The MutPred tool predicted the molecular cause of disease-related amino acid substitution. According to the study, only Pitta and Kapha Prakriti were diagnosed with diabetes, while all three Prakriti types were present in the control group of healthy individuals. A protein model was prepared, and the changes resulting from mutations were observed for each group in their protein sequence, both as synonymous and non-synonymous mutations. Ultimately, these changes contributed to the manifestation of T2DM. Based on the findings, it appears that Prakriti groups may experience changes in protein function due to nonsynonymous mutations and differences in amino acids at the protein level.

Background: Under the New Drugs and Clinical Trials Rules -2019 that came into force on 14th September 2019, all Ethics Committees (ECs) reviewing biomedical and health research should register with the authority designated by the Central Government of India. Study Objective: We investigated the status of registration of ECs in the Department of Health Research (DHR) to date. Materials and Methods: The data collection was started on 1 April, 2021 and was last updated on 10 April, 2022. The ECs registered with DHR were extracted from NAITIK online portal. The ECs were segregated according to the state and Union territories, medical colleges, dental colleges, and hospital and research institutes. Results: Total of 836 registered ECs were uploaded on the DHR website to date. Out of which, 822 (98.32%) were Institutional and 14 (1.67%) were independent. Among total ECs, 518 (61.96%) were in hospitals and research institutes, 231 (27.63%) in medical colleges, and 73 (8.73%) in dental colleges. 76 (9.09%) got the final certificate after completion of a provisional period of two years. Among 606 medical colleges and 316 dental colleges, 38.11% and 23.10% of colleges had registered ECs respectively. Maharashtra has the highest number with 129 (15.43%) registered ECs whereas Gujarat is number one (53.33%) in terms of percent registered ECs in medical colleges of particular states. Conclusions: Timely registration of ECs should be encouraged by the concerned stakeholders and try to make a robust mechanism for bringing transparency, uniformity, and accountability to the ECs across the states.

Type 2 Diabetes Mellitus (T2DM) is a complicated multifactorial illness involving hereditary and external environmental variables. The symptoms typically appear gradually over a number of years without realizing it. This viewpoint is further supported by the Ayurvedic constitution concept (Prakriti). Prakriti explains the biological variability that is observed in different individuals. This study was conducted a retrospective investigation to examine if there was a link between type 2 diabetes and an individual’s constitution based on anthropometric and biochemical characteristics. Physical and mental characteristics and anthropometric and biochemical markers were used to determine reported cases’ prevailing Dosha Prakriti (constitution). Based on biochemical and anthropometric data, significant differences in Prakriti were found between the case (T2DM patients) and control (person without diabetes) groups. The incidence of numerous secondary problems linked with T2DM patients was also evaluated according to their Prakriti types, which revealed a positive relationship. The three primary contributing parameters, such as waist-hip ratio, postprandial blood sugar, and serum creatinine, were correctly classified all person with or without diabetes subjects to 90.6% of the time, whereas the constitution-wise study classified person with diabetes and without diabetes individuals of Pitta and Kapha Prakriti to 94.3% and 90%, respectively. A discriminant function was created to predict a person with diabetes and without diabetes based on these three contributing factors. The primary contributing biochemical parameters discovered by Prakriti in the current study could be used as a biochemical disease diagnostic for predicting type 2 diabetes susceptibility.

Introduction: A cluster of conditions known as metabolic syndrome (MetS) include high blood pressure, high blood sugar levels (hyperglycemia), or lipid-related changes in blood, and generalized obesity. All these are predisposing factors for cardiovascular problems. As reported, the prevalence of these varied conditions ranges from 11% to 41%. The study aimed to find the current prevalence of MetS in the Ratlam district of central India. Methodology: This observational, cross-sectional study was conducted at a tertiary health care center of Ratlam district, Madhya Pradesh, India. The participants (352) were recruited from the NCD clinic at District Hospital, Ratlam and Rural Health Training Centre (RHTC), Sarwan village, attached to Government Medical College, Ratlam, Madhya Pradesh, India. Results: Out of the 352 participants selected randomly, 46.59% were males, and 53.41% were females. Out of which, 196 (55.68%) met the criteria of MetS as per the consensus statement of Asian Indian Criteria. Among these MetS cases, females outnumbered males (63.78% v/s 36.22%). Those in the age range of 43-55 years had the highest number (71.43%), while the least (1.42%) were in the age group of 18-30 years. Central obesity (87.24 %) and hyperglycemia (77.40%) were more prevalent components among MetS patients. Conclusion: Though all components of MetS including Hyperglycemia, obesity, and high TG were significantly higher in the female population, within the subset of MetS patients, hyperglycemia and triglyceridemia were significantly higher among males.