scholarly journals A CRITICAL REVIEW STUDY ON MADHUMEHA (DIABETES MELLITUS) AND ITS PREVENTIVE APPROACH

2021 ◽  
Vol 9 (10) ◽  
pp. 2542-2549
Author(s):  
Alisha Dhaaniya ◽  
Prateek Madan ◽  
Ravi Sharma ◽  
N. R. Singh
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Cyperus Rotundus ◽  
Tinospora Cordifolia ◽  
Curcuma Zedoaria ◽  
Medical Sciences ◽  
Review Study ◽  
Acacia Catechu ◽  
Classical Picture

Madhumeha is a clinical entity described in Ayurveda under the types of Vataja Prameha. It is caused by the ag- gravation of Vata, the patient passes excess urine, which is sweet, astringent in taste, slightly turbid and pale in colour. Madhumeha can be correlated with an identical disease delineated in modern medical sciences as Diabetes Mellitus. DM has turned out to be the considerable silent killer today within the world. In Ayurveda it is de- scribed in Vataja Pramehas and can be managed conservatively with Modifications in diet, exercise, medication and lifestyle are all important factors in the successful treatment of type 2 diabetes and are assimilated into the ancient Indian medicinal practice of Ayurveda. Drugs like Chandraprabha (Curcuma zedoaria), Gudmar (Gymnema sylvestre), Asana (Pterocarpus marsupium), Musta (Cyperus rotundus), Shilajit (Purified Bitumen), Khadir (Acacia catechu), Vacha (Acorus calamu), Guduchi (Tinospora cordifolia), Jambu (Syzygium cumini) are effective in controlling hyperglycemia. This study is consists of a brief classical picture of Madhumeha and Type 2 Diabetes Mellitus along with its burden on society and classical management. Keywords: Chandraprabha, Diabetes Mellitus, Madhumeha, Prameha, Vataja.

scholarly journals The prevalence of type 2 diabetes mellitus among older people in Africa: a systematic review study protocol

BMJ Open ◽  
2014 ◽  
Vol 4 (6) ◽  
pp. e004747-e004747 ◽  
Author(s):  
M. Werfalli ◽  
A. Musekiwa ◽  
M. E. Engel ◽  
I. Ross ◽  
A. P. Kengne ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Older People ◽  
Study Protocol ◽  
Review Study

scholarly journals Role of altered gut microbiota in the development of obesity, insulin resistance and type 2 diabetes mellitus

2013 ◽  
Vol 2 (1) ◽  
pp. 1-2
Author(s):  
UK Shrestha
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gut Microbiota ◽  
Medical Sciences

Nepal Journal of Medical Sciences | Volume 02 | Number 01 | Jan-Jun 2013 | Page 1-2 DOI: http://dx.doi.org/10.3126/njms.v2i1.7642

scholarly journals A genetic perspective of Metformin induced Vitamin B12 deficiency in Type 2 Diabetes mellitus patients

2018 ◽  
Vol 9 (1) ◽  
pp. 11-14 ◽  
Author(s):  
Ananda Vayaravel Cassinadane ◽  
Ramesh Ramaswamy ◽  
Radhika Govindarajan ◽  
Abu Raghavan Srinivasan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Vitamin B12 ◽  
Vitamin B12 Deficiency ◽  
Medical Sciences ◽  
Laboratory Reference ◽  
B12 Deficiency

Metformin, a commonly prescribed hypoglycemic agent is a first line medication for the management of Type 2 diabetes mellitus. Numerous studies have depicted that metformin therapy has been associated with vitamin B12 and folate deficiency. Vitamin B12 deficiency is frequently missed or misdiagnosed by the clinicians because it is not routinely tested by most of the physicians, further the low end of the laboratory reference range is too low and misinterpreted as diabetic peripheral neuropathy. Vitamin B12 deficiency is a silent epidemic with serious consequences. Long term use of metformin has been associated with increased homocysteine levels and malabsorption of vitamin B12 leading to its deficiency and  neurological manifestations. Polymorphisms of certain genes associated with the metabolism of vitamin B12 and folate might help in predicting the deficiency status of vitamin B12.Asian Journal of Medical Sciences Vol.9(1) 2018 11-14

scholarly journals A study on assessment of HbA1c level as a diagnostic criterion of type 2 diabetes mellitus

2015 ◽  
Vol 7 (1) ◽  
pp. 49-52
Author(s):  
Agnibha Dutta ◽  
Ashish P Dudhe ◽  
Subhasish Deb ◽  
Somnath Dasgupta ◽  
Amit Sarkar
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Predictive Value ◽  
Newly Diagnosed ◽  
Eastern India ◽  
Medical Sciences ◽  
Time Period ◽  
Diagnostic Criterion

Aims and Objectives: We compared performance of HbA1c in diagnosis of type 2 diabetes mellitus with that of fasting plasma glucose and tried to determine cut off point of HbA1c for optimum sensitivity and specificity in a population of eastern India both from urban and rural background.Materials and Methods: The analysis was conducted in persons aged between 40 and 80 years, visiting our institution, who are newly diagnosed as diabetic and non-diabetic attending hospital for some other reason, who underwent FPG and HbA1c testing, in the time period January 2013 to August 2014.Results: From 100 individuals (mean age 54.6 years) HbA1c ? 6.5% produced sensitivity of 90% and specificity of 72%, positive predictive value 76.27% and negative predictive value 87.80% when compared to FPG ? 126 mg% as standard. By ROC curve, optimum cut off point for HbA1c was found to be 7.05% for diagnosis of diabetes.Conclusion: Using a cut off value of HbA1c of 7% may optimise detection of diabetes mellitus and ensure proper patient care.Asian Journal of Medical Sciences Vol.7(1) 2015 49-52

scholarly journals Serum Levels of Adenosine Deaminase and Insulin in Type 2 Diabetes Mellitus

2020 ◽  
pp. 18-23
Author(s):  
Yengkhom Upen Singh ◽  
Sangeeta Noarem ◽  
Potsangbam Jenny Devi ◽  
Victoria Kshetrimayum ◽  
Racheal Sweet Marbaniang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Adenosine Deaminase ◽  
Serum Insulin ◽  
Serum Levels ◽  
Medical Sciences ◽  
Chi Square ◽  
Chi Square Test

Aim: To estimate the levels of serum adenosine deaminase and insulin in patients with type 2 diabetes mellitus and healthy subjects and to find the correlation between serum adenosine deaminase and serum insulin in type 2 diabetes mellitus. Study Design: Case-control study. Place and Duration of the Study: Department of Biochemistry and Department of Medicine, Regional Institute of Medical Sciences (RIMS), Imphal, Manipur between October 2017 to September 2019. Methodology: 40 cases of type 2 diabetes mellitus were recruited from the Medicine Outpatient Department, RIMS and 40 healthy controls of age and sex-matched were recruited from those who came for a routine health check-up. Serum adenosine deaminase was measured by the calorimetry method and serum insulin was measured by ELISA method. The data were analyzed using statistical tools like Chi-square test, Independent sample t-test, Pearson’s Correlation through SPSS 21.0. Results: Mean serum adenosine deaminase was (38.97±8.853)U/L in cases and (20.05±5.309)U/L in controls and it was statistically significant (P<0.001). Mean serum insulin in cases was found to be (18.09±5.554) μIU whereas in controls, it was (9.06±2.509) μIU which is statistically significant (p<0.001). Serum adenosine deaminase and insulin were found to be positively correlated to each other (r= 0.956, p<0.001). Conclusion: Serum adenosine deaminase and serum insulin were significantly increased in type 2 diabetes mellitus and positively correlated to each other. Serum adenosine deaminase may be used as a prognostic marker for the pathogenesis of type 2 diabetes mellitus.

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