Type 2 Diabetes Mellitus
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Life Sciences ◽  
2021 ◽  
Vol 286 ◽  
pp. 120011
Author(s):  
Irina Zelinskaya ◽  
Oleg Kornushin ◽  
Elizaveta Savochkina ◽  
Vyacheslav Dyachuk ◽  
Marina Vasyutina ◽  
...  

Author(s):  
Taqi Mohammed Jwad Taher ◽  
Jaffar Mohammed Majed ◽  
Yassamean Firas Ahmed ◽  
Firas Turki Rashed Sarray

2021 ◽  
Vol 8 (3) ◽  
pp. 198-201
Author(s):  
Shantharam V ◽  
Raghavendra K

Diabetic nephropathy is a one of the microvascular complication in patients with type 2 diabetes mellitus due to increased production of free radicals and decreased levels of anti oxidants. The seviority of the disease totally depends on due to damage of foot process of podocytes. Hence, we need to evaluate the altered structural changes of podocytes, glomerular basement membrane in patients with type 2 diabetes mellitus. A total 60 type 2 diabetes mellitus patients were included in the present study and again sub classified into 2 types (Normoalbuminuria 30, Microalbuminuria 30) based on their urinary ACR. Basic laboratory investigations and radio graphical data were collected from the all subjects. A statistical was performed by using SPSS Version 21.0 and P value considers < 0.05 is statistically significant. The significantly elevated levels of plasma FBS, PPBS, Serum Urea, Creatinine, Uric Acid and HbA1c, Urinary albuminuria observed in type 2 diabetes mellitus with microalbuminuria when compared to normoalbuminuria. The radiographical data showed a significantly damaged foot process of podocytes and glomerular basement membrane are observed in patients with microalbuminuria when compared to normoalbuminuria. The increased levels blood sugar and HbA1c, Urinary Albuminuria directly indicates the damage of podocytes and glomerular basement membrane in the kidney. This study suggest continuous monitoring of these parameters may helpful for progression of type 2 diabetes mellitus complications.


2021 ◽  
Vol 7 (10) ◽  
pp. 214-224

2021 ◽  
Vol 7 (10) ◽  
pp. 225-230

2021 ◽  
Vol 6 (3) ◽  
pp. 161-164
Author(s):  
Gonabhavi Siri Chandana ◽  
Ramesh Amirisetty ◽  
Neelam Manojvaibhav ◽  
Ramesh Nichenametla ◽  
Shanti Prathyusham ◽  
...  

The role of vitamin D was well established in bone metabolism as well as in the inflammatory process of a disease. The periodontal disease which is a chronic inflammatory condition with destructive bone metabolism and type II diabetes mellitus which is a metabolic condition with more prone to inflammatory reactions are prevalent in middle-aged patients. Hence the present study is done to assess the vitamin D levels in serum of chronic generalized periodontitis patients with type2 Diabetes mellitus and simple gingivitis patients  Two groups with 50 patients of both periodontal disease with type 2 diabetes and 50 simple gingivitis patients of age 35 to 55 years old were recruited in this study. For all the patient's serum 25(OH)D levels, oral hygiene index (OHI), Russel’s periodontal index, and presence of bony defects in radiographs were assessed.After assessment of all the parameters patients with periodontal disease and type 2 diabetes mellitus showed significantly higher proportion levels than the simple gingivitis patients and significantly lower levels in 25(OH)D (<From the results, it was concluded that generalized periodontitis patients with type II diabetes mellitus showed higher levels of 25-hydroxyvitamin D levels than simple gingivitis patients.


2021 ◽  
Vol 12 (10) ◽  
pp. 1740-1749
Author(s):  
Rakhi Mishra ◽  
Suresh K Sharma ◽  
Rajni Verma ◽  
Priyanka Kangra ◽  
Preeti Dahiya ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaoyu Yang ◽  
Linai Kuang ◽  
Zhiping Chen ◽  
Lei Wang

Accumulating studies have shown that microbes are closely related to human diseases. In this paper, a novel method called MSBMFHMDA was designed to predict potential microbe–disease associations by adopting multi-similarities bilinear matrix factorization. In MSBMFHMDA, a microbe multiple similarities matrix was constructed first based on the Gaussian interaction profile kernel similarity and cosine similarity for microbes. Then, we use the Gaussian interaction profile kernel similarity, cosine similarity, and symptom similarity for diseases to compose the disease multiple similarities matrix. Finally, we integrate these two similarity matrices and the microbe-disease association matrix into our model to predict potential associations. The results indicate that our method can achieve reliable AUCs of 0.9186 and 0.9043 ± 0.0048 in the framework of leave-one-out cross validation (LOOCV) and fivefold cross validation, respectively. What is more, experimental results indicated that there are 10, 10, and 8 out of the top 10 related microbes for asthma, inflammatory bowel disease, and type 2 diabetes mellitus, respectively, which were confirmed by experiments and literatures. Therefore, our model has favorable performance in predicting potential microbe–disease associations.


2021 ◽  
Author(s):  
Abdilahi Ibrahim Muse ◽  
Mohamed Omar Osman ◽  
Girma Tadesse Wedajo ◽  
Kalkidan Hassen Abate ◽  
Ahmed Mohammed Ibrahim ◽  
...  

Abstract Background and AimUnder normal circumstances, a urine albumin excretion of 5-10 mg/L is considered to be normal. Micro-albuminuria is, however, defined as a level of albumin in the urine that is between 20 mcg/min, and 200 mcg/min (30-300mg/24h) with normal urine flow of 1 ml/min.The aim of this study is to assess the prevalence of micro-albuminuria and associated factors among adult type two diabetes mellitus clients in public hospitals of Jigjiga town, Somali region, Ethiopia, from April 1 to July15, 2020Methods: Institutional based cross-sectional study design was used from April 1 to July 15, 2020. A pre-tested structured questionnaire was used to collect a data from 204 Type 2 diabetes mellitus patients visiting at Karamara general and Jigjiga University referral hospitals for follow up. Descriptive statistics was computed. Logistic regression model was used to identify covariates using SPSS version 20. The direction and strength of statistical association was measured by odds ratio with 95 % CI and a P-value < 0.05 was considered as statistically significant.Results: The prevalence of micro-albuminuria was 48.0% with [95% CI (41.2, 54.9)] Duration of DM between 11-20 years [AOR=3.71; 95% CI (1.45, 9.49)] Family history of hypertension [AOR=2.24; 95% CI: (1.02, 4.70)] Systolic blood pressure [AOR=3.36; 95% CI:(1.39, 8.13)], Low density lipoprotein [AOR=5.60; 95%CI: (2.22,14.11)] High density lipoprotein [AOR=5.210;95%CI:(2.067,13.131)] and Glycated hemoglobin [AOR = 3.246; 95% CI (1.356, 7.78)] were significantly associated with micro-albuminuriaConclusion: There is a significant level of micro-albuminuria among type 2 diabetes mellitus patients. Effective secondary prevention program directed on blood glucose and lipid with steps to improve blood pressure are critical in undertaking in the setting and regular screening of micro-albuminuria is needed so that an early preventive and treatment measures against its burden are put in place.


2021 ◽  
Vol 24 (6) ◽  
Author(s):  
Hiroki Nishikawa ◽  
Shinya Fukunishi ◽  
Akira Asai ◽  
Keisuke Yokohama ◽  
Hideko Ohama ◽  
...  

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