scholarly journals Interaction between the dietary indices (DQI, DPI, HEI) and PPAR-γ gene variants on cardiovascular risk factors in a patient with type 2 diabetes mellitus

Author(s):  
Faezeh Abaj ◽  
Gity Sotoudeh ◽  
Elmira Karimi ◽  
Masoumeh Rafiee ◽  
Fariba Koohdani

Background: We investigated the interaction between PPAR-γ Pro12Ala polymorphism and Healthy Eating Index (HEI), Dietary Quality Index-International (DQI-I) and Dietary Phytochemical Index (DPI) on Cardiovascular Disease (CVD) risk factors in patients with type 2 diabetes mellitus (T2DM). Methods: This cross-sectional study was conducted on 393 diabetic patients. PPAR-γ Pro12Ala was genotyped by PCR-RFLP method. Biochemical markers including total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), superoxide dismutase (SOD), C-reactive protein (CRP), total antioxidant capacity (TAC), pentraxin-3 (PTX3), isoprostaneF2α (PGF2α) were measured by standard protocol. FFQ was used for dietary indices (DQI, DPI, HEI) calculation. Results: There was no significant relationship between PPAR-γ Pro12Ala polymorphism and CVD risk factors. The rs1801282-DQI interactions were significant on WC (P= 0.01). Thus, C-allele carriers in the higher tertile of DQI had higher WC compared to GG homozygous. Further, an interaction was observed between PPAR rs1801282 polymorphism and DQI on serum IL-18 level (P = 0.03). Besides, a significant rs1801282-DPI interaction was shown on HDL concentration (P Interaction= 0.04), G allele carriers who were in the highest tertile of DPI, had lower HDL. Moreover, there were significant rs1801282-HEI interactions on ghrelin (P= 0.04) in the crude model and serum leptin (P = 0.02) in the adjusted model. Individuals with (CC, CG) genotypes in the higher tertile of HEI, had lower leptin and ghrelin concentration. Conclusions: Higher dietary indices (DQI, DPI, HEI) may affect the relationship between PPAR-γ Pro12Ala polymorphism and waist circumference and ghrelin, leptin, HDL-c, IL-18 concentration in patients with T2DM. To date, studies on this polymorphism have been shown that this gene can interact with diabetes and different nutritional factors. For the first time, this study provides information on the interaction of dietary indices (DQI, DPI, HEI) and PPAR-γ gene which is functionally effective in nutrient metabolism.

2020 ◽  
Author(s):  
Faezeh Abaj ◽  
Guity Soutudeh ◽  
Elmira Karimi ◽  
Masoumeh Rafiee ◽  
Fariba Koohdani

Abstract Background: We investigated the interaction between PPAR-γ Pro12Ala polymorphism and Healthy Eating Index (HEI), Dietary Quality Index-International (DQI-I) and Dietary Phytochemical Index (DPI) on Cardiovascular Disease (CVD) risk factors in patients with type 2 diabetes mellitus (T2DM).Methods: This cross-sectional study was conducted on 393 diabetic patients. PPAR-γ Pro12Ala was genotyped by PCR-RFLP method. Biochemical markers including total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), superoxide dismutase (SOD), C-reactive protein (CRP), total antioxidant capacity (TAC), pentraxin-3 (PTX3), isoprostaneF2α (PGF2α) were measured by standard protocol. FFQ was used for dietary indices (DQI, DPI, HEI) calculation.Results: There was no significant relationship between PPAR-γ Pro12Ala polymorphism and CVD risk factors. The rs1801282-DQI interactions were significant on WC (P= 0.01). Thus, C-allele carriers in the higher tertile of DQI had higher WC compared to GG homozygous. Further, an interaction was observed between PPAR rs1801282 polymorphism and DQI on serum IL-18 level (P = 0.03). Besides, a significant rs1801282-DPI interaction was shown on HDL concentration (P Interaction= 0.04), G allele carriers who were in the highest tertile of DPI, had lower HDL. Moreover, there were significant rs1801282-HEI interactions on ghrelin (P= 0.04) in the crude model and serum leptin (P = 0.02) in the adjusted model. Individuals with (CC, CG) genotypes in the higher tertile of HEI, had lower leptin and ghrelin concentration.Conclusions: Higher dietary indices (DQI, DPI, HEI) may affect the relationship between PPAR-γ Pro12Ala polymorphism and waist circumference and ghrelin, leptin, HDL-c, IL-18 concentration in patients with T2DM.


2021 ◽  
pp. 105477382110464
Author(s):  
Emine Karaman ◽  
Aslı Kalkım ◽  
Banu Pınar Şarer Yürekli

In this study was to determine knowledge of cardiovascular disease (CVD) risk factors and to explore related factors among adults with type 2 diabetes mellitus (DM) who have not been diagnosed with CVD. This descriptive study was conducted with 175 adults. Data were collected individual identification form and Cardiovascular Disease Risk Factors Knowledge Level (CARRF-KL) scale. A negative correlation was found between age and CARRF-KL score. A significant difference was found between educational status and CARRF-KL score. The individuals described their health status as good, managed their condition with diet and exercise, received information from nurses, adults with DM in their family and those with no DM complications had significantly higher scores in CARRF-KL. The knowledge of an individual with DM about CVD risk factors should be assessed, CVD risks should be identified at an early stage, and individuals at risk should be subjected to screening.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Elko Randrianarisoa ◽  
Angela Lehn-Stefan ◽  
Anja Hieronimus ◽  
Robert Wagner ◽  
Jakob Maucher ◽  
...  

AbstractHyperglycemia and insulin resistance contribute to vascular damage and are regulated by different pathophysiological processes. The aim of the study was to systematically investigate the relative contributions of multiple fasting state- and oral glucose tolerance test (oGTT)-derived glycemic traits to carotid intima-media thickness (cIMT), a surrogate parameter of subclinical atherosclerosis, in individuals with increased risk for type 2 diabetes mellitus (T2D). 667 volunteers (417 women and 250 men, mean age 44.1 years), who were free of cardiovascular disease (CVD), were included in this cross-sectional study. Glucose tolerance, insulin sensitivity, insulin secretion and insulin clearance were assessed by frequently sampled 75 g oGTT. CIMT was measured by high-resolution ultrasound. Insulin clearance was associated with cIMT in univariate analysis (ßst = − 0.17, p < 0.0001) and in a stepwise regression analysis on 15 variables possibly affecting cIMT, age (r2 = 0.3923, p < 0.0001), insulin clearance (r2 = 0.4564, p < 0.0001), systolic blood pressure (r2 = 0.4733, p < 0.0001), body mass index (BMI) (r2 = 0.4804, p = 0.002), gender (r2 = 0.4831, p = 0.013), and fasting insulin clearance (r2 = 0.4857, p = 0.030) turned out to be significant determinants of cIMT. In a cross-validated model resulting from this analysis, insulin clearance was found to be an independent determinant of cIMT (ßst = − 0.16, p < 0.0001) even after adjusting for traditional CVD risk factors. Reduced insulin clearance may be an early marker of damage on the vasculature, independent of classical CVD risk factors. Reduced insulin clearance should be considered with regard to vascular insulin resistance.


2012 ◽  
Vol 6 (1) ◽  
pp. 133-140 ◽  
Author(s):  
Jawad A Al-Lawati ◽  
Mohammed N. Barakat ◽  
Ibrahim Al-Zakwani ◽  
Medhat K. Elsayed ◽  
Masoud Al-Maskari ◽  
...  

Background: Despite the high burden of type 2 diabetes mellitus (T2DM) in Oman, there are scarce data from a nationally representative sample on the level of glycaemia and other cardiovascular (CVD) risk factor control. Objective: To estimate the proportion of patients with T2DM at goal for glycaemia and CVD risk factors using the National Diabetes Guidelines (NDG) and the American Diabetes Association (ADA) clinical care guidelines; and to assess the quality of selected services provided to patients with T2DM. Methods: A sample of 2,551 patients (47% men) aged ≥20 years with T2DM treated at primary health care centers was selected. Patient characteristics, medical history and treatment were collected from case notes, Diabetes Registers and computer frameworks including the use of the last 3 laboratory investigations results and blood pressure (BP) readings recorded in 2007. Results: The overall mean age of the cohort was 54±13 years with an average median duration of diabetes of 4 (range 2 to 6) years. Over 80% of patients were overweight or obese (body mass index (BMI) of ≥25 Kg/m2). Sixty-nine percent were on oral anti-diabetic medication, 52% on anti-hypertensives and 40% on lipid lowering drugs. Thirty percent of patients were at goal for glycosylated haemoglobin level (<7%), 26% for BP (systolic/diastolic <130/80 mmHg), 55% for total cholesterol (<5.2 mmol/l), 4.5% for low-density lipoprotein cholesterol (<1.8 mmol/l), 52% for high-density lipoprotein cholesterol (>1 mmol/l for men, >1.3 mmol/l for women), and 61% for triglycerides (<1.7 mmol/l). Over 37% had micro-albuminuria and 5% had diabetic nephropathy. Conclusion: Control of hyperglycaemia and other CVD risk factor appears to be suboptimal in Omani patients with T2DM and need to be addressed in the triad of patient, physician and health system.


2021 ◽  
pp. 263246362110313
Author(s):  
Muhammed Hossam Al-Shaer ◽  
Manar Mostafa Elzaky ◽  
El Sayed Mohamed Farag ◽  
Mostafa Osama Mohamed Saad

One-third of all deaths globally are caused by cardiovascular disease (CVD), and this percentage is predicted to climb as CVD risk factors become more widespread. Primary prevention of risk factors is the most fundamental duty in dealing with the CVD epidemic. The link between atherogenic index of plasma (AIP) and other CVD risks among university workers was investigated among study participants in order to demonstrate that AIP, not lipid profile, is a better predictor of CVDs. They discovered a link between AIP and CVD risk variables (body mass index, visceral fat, body fat, total cholesterol, low density lipoprotein cholesterol, triglyceride, glucose, and high density lipoprotein cholesterol) in people with type 2 diabetes. This comparative study was carried out in Cardiology Department, Zagazig University Hospitals. This study included 140 type 2 diabetes mellitus patients. They were classified into 2 main groups: Group 1: 70 patients with type 2 diabetes who had coronary artery disease (CAD). Group (2): 70 type 2 diabetes individuals with no indicators of CAD (admitted complaining of symptoms of angina or CA showing no significant stenotic lesions). Regarding study explained it has showed that AIP outperforms standard lipid indicators in predicting the likelihood ofdeveloping CADs in people with type 2 diabetes. In addition, the value of AIP in diabetic and prediabetic patients for predicting future CVD is being investigated. They came to the conclusion that AIP is an excellent predictor of future CVD in those with diabetes and those who are prediabetic.


2018 ◽  
Vol 54 (4) ◽  
pp. 238-244 ◽  
Author(s):  
David Martinez-Gomez ◽  
Irene Esteban-Cornejo ◽  
Esther Lopez-Garcia ◽  
Esther García-Esquinas ◽  
Kabir P Sadarangani ◽  
...  

ObjectivesWe examined the dose–response relationship between physical activity (PA) and incidence of cardiovascular disease (CVD) risk factors in adults in Taiwan.MethodsThis study included 1 98 919 participants, aged 18–97 years, free of CVD, cancer and diabetes at baseline (1997–2013), who were followed until 2016. At baseline, participants were classified into five PA levels: inactive’ (0 metabolic equivalent of task (MET)-h/week), ‘lower insufficiently active’ (0.1–3.75 MET-h/week), ‘upper insufficiently active’ (3.75–7.49 MET-h/week), ‘active’ (7.5–14.99 MET-h/week) and ‘highly active’ (≥15 MET-h/week]. CVD risk factors were assessed at baseline and at follow-up by physical examination and laboratory tests. Analyses were performed with Cox regression and adjusted for the main confounders.ResultsDuring a mean follow-up of 6.0±4.5 years (range 0.5–19 years), 20 447 individuals developed obesity, 19 619 hypertension, 21 592 hypercholesterolaemia, 14 164 atherogenic dyslipidaemia, 24 275 metabolic syndrome and 8548 type 2 diabetes. Compared with inactive participants, those in the upper insufficiently active (but not active) category had a lower risk of obesity (HR 0.92; 95% CI 0.88 to 0.95), atherogenic dyslipidaemia (0.96; 0.90 to 0.99), metabolic syndrome (0.95; 0.92 to 0.99) and type 2 diabetes (0.91; 0.86 to 0.97). Only highly active individuals showed a lower incidence of CVD risk factors than their upper insufficiently active counterparts.ConclusionCompared with being inactive, doing half the recommended amount of PA is associated with a lower incidence of several common biological CVD risk factors. Given these benefits, half the recommended amount of PA is an evidence based target for inactive adults.


Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Fida Bacha ◽  
Samuel S Gidding ◽  
Sonia Caprio ◽  
Ruth Weinstock ◽  
Jane Lynch ◽  
...  

Background The natural history of type 2 diabetes (T2D) in youth appears to differ from that in adults in that almost half of T2D youth in the “Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY)” study had a rapid decline in beta cell function. The rate of change in risk for cardiovascular disease (CVD) in youth with T2D is not known. We tested the hypothesis that CVD risk factors are highly prevalent and rapidly progress over time in youth with T2D using longitudinal assessments of hypertension (HT), microalbuminuria (MA) and dyslipidemia obtained during the TODAY clinical trial of adolescents with recent onset T2D. Methods A cohort of 699 adolescents, aged 10-17 years, <2 years duration of T2D, body mass index (BMI) ≥85th percentile, Hemoglobin A1c (A1c) ≤8% on metformin therapy were randomized to metformin alone, metformin plus rosiglitazone, or metformin plus an intensive lifestyle intervention and followed over an average of 3.9 years. (range 2-6.5 years). Primary outcome was loss of glycemic control. Quarterly BP and annual MA were monitored with initiation and titration of therapy (ACE inhibitor) to maintain BP <130/80 or <95th percentile for age, gender, and height and MA <30 mcg/mg. Statin drugs were begun for LDL cholesterol (LDLC) ≥130 mg/dL or triglycerides ≥300 mg/dL. Change in the prevalence of CVD risk factors was examined accounting for the effect of treatment group, time, glycemic control, gender, and race-ethnicity. Results In this cohort, 319 (45•6%) reached primary glycemic outcome. HTN was observed in 11•6% of subjects at baseline and 33•8% by end of study (average follow-up 3•9 years). MA was found in 6•3% at baseline and rose to 16•6% at study end. Participants with LDLC ≥130 mg/dL or statin use increased from 4.5% to 10.7%. Male gender and higher BMI significantly increased the risk for HTN. Higher levels of hemoglobin A1c correlated with the risk of developing MA and dyslipidemia. Conclusion The prevalence of CVD risk factors increased rapidly among adolescents with T2D regardless of diabetes treatment. The greatest risk for HTN was male gender and higher BMI. The risk for microalbuminuria and worsening of dyslipidemia was related to glycemic control. Measures to address CVD risk are needed early in the disease course in this high risk population.


2020 ◽  
Vol 20 (11) ◽  
Author(s):  
Jürgen Harreiter ◽  
Helena Fadl ◽  
Alexandra Kautzky-Willer ◽  
David Simmons

Abstract Purpose of Review This narrative review makes the case for greater efforts to reduce cardiovascular disease (CVD) risk in women with diabetes. Recent Findings In a recent meta-analysis including five CVOTs of diabetes medications with 46,606 subjects, women (vs men) with type 2 diabetes had a higher relative risk for stroke (RR 1.28; 95% CI 1.09, 1.50) and heart failure (1.30; 1.21, 1.40). Prior studies found higher “within-gender” RR for CVD mortality in women with diabetes although men have an absolute higher risk. Women with prior gestational diabetes mellitus (GDM) have a 2-fold higher CVD risk than the background population. Worse CVD and CVD risk factor management in women, as well as lower female therapy adherence, contribute further to these disparities. Summary The mechanism behind this excess risk includes biological, hormonal, socioeconomic, clinical, and behavioral factors that still require further investigation. The need for more intensive CVD reduction in women now includes more attention to screening for both incident diabetes and CVD risk factors among high-risk women.


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