Positive effects of football on fitness, lipid profile, and insulin resistance in Brazilian patients with type 2 diabetes

2014 ◽  
Vol 24 ◽  
pp. 57-65 ◽  
Author(s):  
M. V. de Sousa ◽  
R. Fukui ◽  
P. Krustrup ◽  
R. M. R. Pereira ◽  
P. R. S. Silva ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Positive Effects

scholarly journals Correlation Between Lipid Profile with Type 2 Diabetes Mellitus Progression

2020 ◽  
Vol 8 (2) ◽  
pp. 66-72
Author(s):  
Angiesta Pinakesty ◽  
Restu Noor Azizah
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Lipid Profile ◽  
Cholesterol Levels ◽  
Type 2 Dm ◽  
Hba1c Levels

Introduction: Diabetes mellitus (DM) is a non-communicable disease that has increased from year to year. Type 2 diabetes mellitus is not caused by lack of insulin secretion, but is caused by the failure of the body's cells to respond to the hormone insulin (insulin resistance). Insulin resistance was found to be a major contributor to atherogenic dyslipidemia. Dyslipidemia in DM risks 2 to 4 times higher than non-DM. Although dyslipidemia has a great risk for people with type 2 diabetes mellitus, this conventional risk factor only explains a portion (25%) of excess cardiovascular risk in type 2 DM. Discussion: In uncontrolled type 2 DM patients, LDL oxidation occurs faster which results from an increase in chronic blood glucose levels. Glycemic control as a determinant of DM progressivity is determined through HbA1c examination. HbA1c levels are associated with blood triglyceride levels. Meanwhile, triglyceride levels are associated with total cholesterol and HDL cholesterol levels. HbA1c levels are also associated with LDL cholesterol levels. Conclusion: There is a relationship between lipid profile and the progression of type 2 diabetes mellitus.   Keywords: type 2 diabetes mellitus, dyslipidemia, HbA1c, glycemic control, lipid profile

scholarly journals Value of simple clinical parameters to predict insulin resistance among newly diagnosed patients with type 2 diabetes in limited resource settings

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248469
Author(s):  
Keddagoda Gamage Piyumi Wasana ◽  
Anoja Priyadarshani Attanayake ◽  
Thilak Priyantha Weerarathna ◽  
Kamani Ayoma Perera Wijewardana Jayatilaka
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Sri Lanka ◽  
Lipid Profile ◽  
Limited Resource ◽  
Small Sample ◽  
Clinical Parameters ◽  
Fasting Insulin ◽  
Newly Diagnosed

Background Insulin resistance (IR) has been considered as a therapeutic target in the management of type 2 diabetes mellitus (T2DM). Readily available, simple and low cost measures to identify individuals with IR is of utmost importance for clinicians to plan optimal management strategies. Research on the associations between surrogate markers of IR and routine clinical and lipid parameters have not been carried out in Sri Lanka, a developing country with rising burden of T2DM with inadequate resources. Therefore, we aimed to study the utility of readily available clinical parameters such as age, body mass index (BMI), waist circumference (WC) and triglyceride to high density lipoprotein cholesterol ratio (TG/HDL-C) in the fasting lipid profile in predicting IR in a cohort of patients with newly diagnosed T2DM in Sri Lanka. Methods and findings We conducted a community based cross sectional study involving of 147 patients (age 30–60 years) with newly diagnosed T2DM in a suburban locality in Galle district, Sri Lanka. Data on age, BMI, WC, fasting plasma glucose (FPG) concentration, fasting insulin concentration and serum lipid profile were collected from each subject. The indirect IR indices namely homeostasis model assessment (HOMA), quantitative insulin sensitivity check index (QUICKI) and McAuley index (MCA) were estimated. Both clinical and biochemical parameters across the lowest and the highest fasting insulin quartiles were compared using independent sample t-test. Linear correlation analysis was performed to assess the correlation between selected clinical parameters and indirect IR indices. The area under the receiver operating characteristic (ROC) curve was obtained to calculate optimal cut-off values for the clinical markers to differentiate IR. BMI (p<0.001) and WC (p = 0.01) were significantly increased whereas age (p = 0.06) was decreased and TG/HDL-C (p = 0.28) was increased across the insulin quartiles. BMI and WC were significantly correlated (p<0.05) with HOMA, QUICKI and MCA. Out of the clinical parameters, age showed a borderline significant correlation with QUICKI and TG/HDL-C showed a significant correlation only with MCA. The area under ROC of BMI was 0.728 (95% CI 0.648–0.809; p<0.001) and for WC, it was 0.646 (95% CI 0.559–0.734; p = 0.003). The optimized cut-off value for BMI and WC were 24.91 kg/m2 and 81.5 cm respectively to differentiate the patients with IR or ID. Study limitations include small sample size due to recruitment of patients only from a limited geographical locality of the country and not totally excluding of the possibility of inclusion of some patients with slowly progressive type 1 DM or Latent onset diabetes of adulthood from the study population. Conclusions The results revealed that there was a significant positive correlation between BMI, WC and HOMA while a significant negative correlation with QUICKI and MCA among the cohort of patients with newly diagnosed T2DM. The cut-off values of BMI and WC as 24.91 kg/m2 and 81.5 cm respectively could be used as simple clinical parameters to identify IR in newly diagnosed patients with T2DM. Our results could be beneficial in rational decision making in the management of newly diagnosed patients with T2DM in limited resource settings.

scholarly journals Effects of Ginger Powder Supplementation on Glycemic Status and Lipid Profile in Patients with Type 2 Diabetes Mellitus

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
M H Elgayar ◽  
M M M Mahdy ◽  
N A Ibrahim ◽  
M H Abdelhafiz
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Beta Cell Function ◽  
Cell Function ◽  
Density Lipoprotein ◽  
Glycemic Status ◽  
Ginger Powder ◽  
Group 1

Abstract Background Diabetes is a huge problem affecting 387 million adults by a global prevalence of (8.3%) which is expected to rise to (10.1%) affecting 592 million adults by 2035. Type 2 diabetes, a growing public health problem, is associated with increased morbidity and mortality. Purpose To evaluate the effects of ginger powder supplementation on glycemic status, lipid profile, insulin resistance, insulin sensitivity, and beta-cell function in obese Egyptian patients with new-onset type 2 Diabetes Mellitus. Patients and Methods This study was conducted at the Diabetes outpatient clinic of the National Institute of Diabetes and Endocrinology (NIDE) during the period from January 2016 to January 2017. Study Design A randomized, single blind, placebo-controlled clinical trial, was performed on 80 subjects newly diagnosed with T2DM. Subjects were randomly & equally subdivided into two groups: Group 1: Ginger Group (GG), which consumed three capsules daily, each capsule containing: 600-mg of ginger powder (total daily dose was 1.8 g), they also underwent certain diet and physical activity changes, and also received metformin as one 850-mg tablet twice a day with meals for a duration of 8 weeks.Group 2: Placebo Group (PG), which received capsules of the same color, size, and number as (Group 1) but containing wheat flour, they also underwent the same diet, physical activity, and metformin dosage as (Group 1) during the 8 weeks of the study. Results Ginger powder supplementation significantly reduced body mass index, fasting blood glucose, 2-hour postprandial blood glucose, glycated hemoglobin, total cholesterol, low density lipoprotein cholesterol, triglycerides, fasting insulin levels, and homeostasis model assessment-insulin resistance index (HOMA2-IR). Ginger also significantly increased high density lipoprotein cholesterol levels, beta cell function index (HOMA2-%β), and insulin sensitivity index (HOMA2-%S). Conclusion Ginger is considered a safe and effective adjuvant antidiabetic agent in treatment of T2DM; improving glycemic status, lipid profile, insulin resistance, and promoting weight loss.

Effects of Pterostilbene on Diabetes, Liver Steatosis and Serum Lipids

2020 ◽  
Vol 28 (2) ◽  
pp. 238-252 ◽  
Author(s):  
Saioa Gómez-Zorita ◽  
Iñaki Milton-Laskíbar ◽  
Leixuri Aguirre ◽  
Alfredo Fernández-Quintela ◽  
Jianbo Xiao ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Animal Models ◽  
Phenolic Compound ◽  
Liver Steatosis ◽  
Positive Effects

: Pterostilbene, a phenolic compound derived from resveratrol, possesses greater bioavailability than its parent compound due to the presence of two methoxyl groups. In this review, the beneficial effects of pterostilbene on diabetes, liver steatosis and dyslipidemia are summarized. Pterostilbene is a useful bioactive compound in preventing type 1 diabetes, insulin resistance and type 2 diabetes in animal models. Concerning type 1 diabetes, the main mechanisms described to justify the positive effects of this phenolic compound are increased liver glycogen content and hepatic glucokinase and phosphofructokinase activities, the recovery of pancreatic islet architecture, cytoprotection and a decrease in serum and pancreatic pro-inflammatory cytokines. As for type 2 diabetes, increased liver glucokinase and glucose-6-phosphatase and decreased fructose-1,6-biphosphatase activities are reported. When insulin resistance is induced by diets, a greater activation of insulin signaling cascade has been reported, increased cardiotrophin-1 levels and liver glucokinase and glucose- 6-phosphatase activities, and a decreased fructose-1,6-biphosphatase activity. Data concerning pterostilbene and liver steatosis are scarce so far, but the reduction in oxidative stress induced by pterostilbene may be involved since oxidative stress is related to the progression of steatosis to steatohepatitis. Finally, pterostilbene effectively reduces total cholesterol, LDL-cholesterol and serum triglyceride levels, while increases HDL-cholesterol in animal models of dyslipidemia.

DPP-4 Inhibitor Teneligliptin Improves Insulin Resistance and Serum Lipid Profile in Japanese Patients with Type 2 Diabetes

Drug Research ◽  
2014 ◽  
Vol 65 (10) ◽  
pp. 532-534 ◽  
Author(s):  
M. Kusunoki ◽  
D. Sato ◽  
T. Nakamura ◽  
Y. Oshida ◽  
H. Tsutsui ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Serum Lipid ◽  
Japanese Patients ◽  
Serum Lipid Profile

scholarly journals Associations of Haplotypes Upstream ofIRS1with Insulin Resistance, Type 2 Diabetes, Dyslipidemia, Preclinical Atherosclerosis, and Skeletal MuscleLOC646736mRNA Levels

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Selma M. Soyal ◽  
Thomas Felder ◽  
Simon Auer ◽  
Hannes Oberkofler ◽  
Bernhard Iglseder ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Skeletal Muscle ◽  
Adipose Tissue ◽  
Lipid Profile ◽  
Mrna Levels ◽  
Tissue Mass ◽  
Cross Sectional ◽  
Adipose Tissue Mass

The genomic region ~500 kb upstream ofIRS1has been implicated in insulin resistance, type 2 diabetes, adverse lipid profile, and cardiovascular risk. To gain further insight into this chromosomal region, we typed four SNPs in a cross-sectional cohort and subjects with type 2 diabetes recruited from the same geographic region. From 16 possible haplotypes, 6 haplotypes with frequencies >0.01 were observed. We identified one haplotype that was protective against insulin resistance (determined by HOMA-IR and fasting plasma insulin levels), type 2 diabetes, an adverse lipid profile, increased C-reactive protein, and asymptomatic atherosclerotic disease (assessed by intima media thickness of the common carotid arteries). BMI and total adipose tissue mass as well as visceral and subcutaneous adipose tissue mass did not differ between the reference and protective haplotypes. In 92 subjects, we observed an association of the protective haplotype with higher skeletal muscle mRNA levels ofLOC646736, which is located in the same haplotype block as the informative SNPs and is mainly expressed in skeletal muscle, but only at very low levels in liver or adipose tissues. These data suggest a role forLOC646736in human insulin resistance and warrant further studies on the functional effects of this locus.

Sign in / Sign up

Export Citation Format

Share Document