Transcription Factor 7 Like2 Gene Polymorphisms and Susceptibility to Type 2 Diabetes Mellitus in a cohort of Egyptian diabetic patients, a pilot study

Objective: Glutamate carboxypeptidase II (GCPII), reduced folate carrier 1 (RFC1), and methionine synthase (MTR) genes involved in the folate metabolic pathway may play a key role in the pathogenesis of diabetes and its complications. The present study aimed to investigate the prevalence of genetic polymorphisms of GCPII C1561T, RFC1 A80G, and MTR A2756G in individuals with type 2 diabetes mellitus (T2DM) among South Indians. Methods: The study subjects consisted of 100 healthy individuals and 200 patients with T2DM. Genetic polymorphisms (GCPII C1561T, RFCI A80G, and MTR A2756G) in the folate metabolic pathway were analyzed by polymerase chain reaction-restriction fragment length polymorphism method. Statistical analysis was performed to test the level of significance. Results: With regard to GCPII C1561T and MTR A2756G gene polymorphisms, significant differences were not found when diabetic patients (with and without complications) and controls were compared according to different statistical models (dominant, recessive, and overdominant) p>0.05. A case–control genetic association analysis of RFC1 A80G gene polymorphism has shown that there was 3.7-fold increased risk for patients without complications and 4.9-fold increased risk for diabetic patients with complications. Conclusions: Our findings suggest that the GCPII C1561T and MTR A2756G gene polymorphisms were not significantly associated with diabetes and its complications. Whereas, the RFCI A80G gene polymorphism involved in folate metabolism confers increased risk for diabetes and its complications in South Indian population.

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Association among interleukin-6 gene polymorphisms, type 2 diabetes mellitus, and chronic periodontitis: a pilot study

Journal of Investigative and Clinical Dentistry ◽

10.1111/jicd.12230 ◽

2016 ◽

Vol 8 (3) ◽

pp. e12230 ◽

Cited By ~ 1

Author(s):

Loganathan Kavitha ◽

Jayaseelan Vijayshree Priyadharshini ◽

Balasundaram Sivapathasundharam

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Pilot Study ◽

Interleukin 6 ◽

Chronic Periodontitis ◽

Gene Polymorphisms

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Relationship Research of PPAR-r Gene Polymorphisms with Adiponectin and Leptin in Type 2 Diabetes Mellitus

Journal of Clinical and Nursing Research ◽

10.26689/jcnr.v4i4.1378 ◽

2020 ◽

Vol 4 (4) ◽

Author(s):

Jia Feng ◽

Shujin Wang ◽

Hong Zuo ◽

Xufeng Liu ◽

Guohong Li ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Gene Polymorphisms ◽

Obese Group ◽

Diabetic Patients ◽

Peroxisome Proliferator ◽

Type 2 Diabetic Patients ◽

Significant Difference

Objective: To investigate the peroxisome proliferator-activated receptor-? (peroxisome) in patients with type 2 diabetes mellitus. Proliferators-activated receptors-?, PPARs-? (?) gene polymorphisms about serum lipofuscin and leptin. Methods: One hundred and twenty patients with type 2 diabetes admitted to our hospital from June 2015 to June 2018 were selected. The patients were divided into an obese group and a non-obese group of 60 patients each according to their waist circumference. A polymerase chain reaction-length polymorphism protocol was implemented in all patients to explore the PPAR-? gene polymorphism, and blood glucose, lipid, adiponectin and leptin levels were measured in both groups. Results: PPAR-? gene polymorphisms in type 2 diabetic patients were dominated by wild-type homozygous; The levels of total cholesterol, triglyceride and LDL cholesterol in the obese group were significantly higher than those in the non-obese group, while the levels of HDL cholesterol were lower than those in the non-obese group. There is significant difference in comparison between groups (P<0.05) Those carrying the A allele had a significant lipid disorder profile and decreased adiponectin levels. Conclusions: PPAR-? gene polymorphisms in type 2 diabetes are not significantly associated with adiponectin and leptin, and only in the obese group, the patients with the Allele A showed significant dyslipidemia and a declining trend of adiponectin levels.

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Influence ofGSTM1,GSTT1, andGSTP1Polymorphisms on Type 2 Diabetes Mellitus and Diabetic Sensorimotor Peripheral Neuropathy Risk

Disease Markers ◽

10.1155/2015/638693 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 15

Author(s):

Adina Stoian ◽

Claudia Bănescu ◽

Rodica Ioana Bălaşa ◽

Anca Moţăţăianu ◽

Mircea Stoian ◽

...

Keyword(s):

Oxidative Stress ◽

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Peripheral Neuropathy ◽

Diabetic Neuropathy ◽

Gene Polymorphisms ◽

Diabetic Patients ◽

Polymerase Chain

Background and Aims. Diabetic neuropathy is a frequent complication of type 2 diabetes mellitus (T2DM). Genetic susceptibility and oxidative stress may play a role in the appearance of T2DM and diabetic neuropathy. We investigated the relation between polymorphism in genes related to oxidative stress such asGSTM1,GSTT1, andGSTP1and the presence of T2DM and diabetic neuropathy (DN).Methods. Samples were collected from 84 patients with T2DM (42 patients with DN and 42 patients without DN) and 98 healthy controls and genotyped by using polymerase chain reaction and restriction fragment length polymorphism method.Results.GSTP1Ile105Val polymorphism was associated with the risk of developing T2DM (p=0.05) but not with the risk of developing DN in diabetic cases.GSTM1andGSTT1gene polymorphisms were associated with neither the risk of developing T2DM nor the risk of DN occurrence in diabetic patients. No association was observed between the patients with T2DM and DSPN (diabetic sensorimotor peripheral neuropathy) and T2DM without DSPN regarding investigated polymorphism.Conclusion. Our data suggest thatGSTP1gene polymorphisms may contribute to the development of T2DM in Romanian population.GSTM1,GSTT1, andGSTP1gene polymorphisms are not associated with susceptibility of developing diabetic neuropathy in T2DM patients.

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Glutathione S-transferase M1, T1 and P1 gene polymorphisms and the risk of developing type 2 diabetes mellitus in Egyptian diabetic patients with and without diabetic vascular complications

Alexandria Journal of Medicine ◽

10.1016/j.ajme.2014.03.003 ◽

2015 ◽

Vol 51 (1) ◽

pp. 73-82 ◽

Cited By ~ 8

Author(s):

Moyassar Ahmad Zaki ◽

Thanaa Fathy Moghazy ◽

Mona Mohamed Kamal El-Deeb ◽

Amira Hussein Mohamed ◽

Noha Arafa Ahmed Mohamed

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Gene Polymorphisms ◽

Vascular Complications ◽

Diabetic Patients ◽

Glutathione S Transferase ◽

Diabetic Vascular Complications

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Association of Major Dietary Patterns with General and Abdominal Obesity in Iranian Patients with Type 2 Diabetes Mellitus

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000233 ◽

2015 ◽

Vol 85 (3-4) ◽

pp. 145-155 ◽

Cited By ~ 9

Author(s):

Marjan Ghane Basiri ◽

Gity Sotoudeh ◽

Mahmood Djalali ◽

Mohammad Reza Eshraghian ◽

Neda Noorshahi ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Abdominal Obesity ◽

Dietary Patterns ◽

Dietary Pattern ◽

Diabetic Patients ◽

General Obesity ◽

Healthy Dietary Pattern

Abstract. Background: The aim of this study was to identify dietary patterns associated with general and abdominal obesity in type 2 diabetic patients. Methods: We included 728 patients (35 - 65 years) with type 2 diabetes mellitus in this cross-sectional study. The usual dietary intake of individuals over 1 year was collected using a validated semi-quantitative food frequency questionnaire. Weight, height, and waist circumference were measured according to standard protocol. Results: The two major dietary patterns identified by factor analysis were healthy and unhealthy dietary patterns. After adjustment for potential confounders, subjects in the highest quintile of the healthy dietary pattern scores had a lower odds ratio for the general obesity when compared to the lowest quintile (OR = 0.45, 95 % CI = 0.26 - 0.79, P for trend = 0.02), while patients in the highest quintile of the unhealthy dietary pattern scores had greater odds for the general obesity (OR = 3.2, 95 % CI = 1.8 - 5.9, P for trend < 0.001). There were no significant associations between major dietary patterns and abdominal obesity, even after adjusting for confounding factors. Conclusion: This study shows that in patients with type 2 diabetes mellitus, a healthy dietary pattern is inversely associated and an unhealthy dietary pattern is directly associated with general obesity.

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ESTIMATION OF SERUM FERRITIN LEVELS IN TYPE 2 DIABETIC PATIENTS AND ITS RELATION WITH HbA1C LEVEL.

International Journal of Medical and Biomedical Studies ◽

10.32553/ijmbs.v3i8.456 ◽

2019 ◽

Vol 3 (8) ◽

Author(s):

Shah Namrata Vinubhai ◽

Pardeep Agarwal ◽

Bushra Fiza ◽

Ramkishan Jat

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Blood Sugar ◽

Serum Ferritin ◽

Inflammatory Marker ◽

Control Group ◽

Diabetic Patients ◽

Positive Correlation

Background: Serum ferritin is known as an index for body iron stores also as an inflammatory marker and it is influenced by several disease. We were looking for a correlation between HbA1c and S. Ferritin in type 2 DM. Methodology: The present study a total of 150 participants were enrolled of which 100 were confirmed cases of Type 2 Diabetes Mellitus and rest 50 age and sex matched healthy subjects constituted the control group. All were screened for HbA1c, Fasting blood sugar, Post prandial blood sugar and S.Ferritin. Results: A highly significant variation and positive correlation was observed with respect to S.Ferritin and HbA1c levels. Mean S.Ferritin was high in the subgroup with poor glycemic control. Conclusion: The fasting, post prandial sugar levels, HbA1c and S.Ferritin were significantly higher in the diabetic subjects. This study shows a positive correlation between HbA1c and S. Ferritin levels. So we can conclude that in diabetic patients S. Ferritin may serve as an independent marker of poor glycemic and metabolic control. Keywords: Serum ferritin, Type 2 Diabetes Mellitus, HbA1c.

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