Interactions Between Caveolin-1 (rs3807992) Polymorphism and Major dietary patterns on Cardio-metabolic Risk Factors Among Obese and Overweight Women

Background: Caveolin is a cholesterol-dependent essential component located in caveolae. Several studies have been shown CAV-1 SNP related to cardio-metabolic parameters in animal models, however there is few studies in humans. Importantly, there is no study has investigated the interaction between CAV-1 rs3807992 gene and dietary pattern on CVDs risk factors in Iranian population. Methods: The current cross-sectional study was conducted on 404 overweight and obese females with mean age of 36 years. Dietary intake obtained from FFQ with 147 items. The CAV-1 genotype was measured by the PCR-RFLP method. The anthropometric measurements, serum lipid profile and inflammatory markers were measured. Results: There was a significant interaction between CAV-1 rs3807992 and healthy dietary pattern on HDL (P interaction=0.03), TC/HDL (P interaction=0.03) and hs-CRP (P interaction=0.04); in A-allele carriers, higher adherence to the healthy dietary pattern was related to higher level of HDL and lower TC/HDL and hs-CRP. As well as, the significant interactions were observed between CAV-1 rs3807992 and unhealthy dietary pattern in relation to TG (P interaction = 0.001), AST (P interaction = 0.01) and MCP-1(P interaction = 0.01); A-allele carriers were more adherence to the unhealthy dietary pattern to lower levels of TG, AST and MCP-1. Conclusions: Our study showed that CAV-1 rs3807992 SNP interacts with adherence to unhealthy or healthy dietary patterns to influence several cardio-metabolic risk factors in obese and overweight females. Further large prospective studies are warranted to confirm our findings

Download Full-text

Interactions between Caveolin-1 (rs3807992) polymorphism and major dietary patterns on cardio-metabolic risk factors among obese and overweight women

BMC Endocrine Disorders ◽

10.1186/s12902-021-00800-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Faezeh Abaj ◽

Fariba Koohdani ◽

Masoumeh Rafiee ◽

Ehsan Alvandi ◽

Mir Saeed Yekaninejad ◽

...

Keyword(s):

Risk Factors ◽

Dietary Patterns ◽

High Sensitivity ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Obese Women ◽

Cross Sectional ◽

Monocyte Chemoattractant Protein 1 ◽

Caveolin 1 ◽

Hs Crp

Abstract Background Caveolin-1 (CAV-1) is a cholesterol-dependent essential component located in caveolae. Several studies have been CAV-1 related to cardio-metabolic parameters in animal models, however, there are few studies in humans. Importantly, there is no study has investigated the interaction between CAV-1 rs3807992 gene and dietary patterns (DPs) on cardio-metabolic risk factors. Methods The current cross-sectional study was conducted on 404 overweight and obese women. Dietary intake was obtained from FFQ with 147 items. The CAV-1 genotype was measured by the PCR-RFLP method. The anthropometric measurements, serum lipid profile, and inflammatory markers were measured by standard protocols. Results There was a significant interaction between CAV-1 rs3807992 and healthy DP on high-density cholesterol (HDL) (P-interaction = 0.03), TC/HDL (P-interaction = 0.03) and high sensitivity C-reactive protein (hs-CRP) (P-interaction = 0.04); in A-allele carriers, higher following a healthy DP was related to a higher level of HDL and lower TC/HDL and hs-CRP. As well as, the significant interactions were observed between CAV-1 rs3807992 and unhealthy DP in relation to triglyceride (TG) (P-interaction = 0.001), aspartate aminotransferase (AST) (P-interaction = 0.01) and monocyte chemoattractant protein-1(MCP-1) (P-interaction = 0.01); A-allele carriers were more following the unhealthy DP had lower levels of TG, AST and MCP-1. Conclusions Our study revealed a significant gene-diet interaction between rs3807992 SNPs and DPs in relation to cardio-metabolic risk factors; A-allele carriers might be more sensitive to dietary composition compared to GG homozygotes. Following a healthy DP in A-allele-carriers may be improved their genetic association with cardio-metabolic risk factors.

Download Full-text

Vitamin D status and associated metabolic risk factors among North Korean refugees in South Korea: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2015-009140 ◽

2015 ◽

Vol 5 (11) ◽

pp. e009140 ◽

Cited By ~ 11

Author(s):

Kyeong Jin Kim ◽

Yoon Jung Kim ◽

Sun Hwa Kim ◽

Jee Hyun An ◽

Hye Jin Yoo ◽

...

Keyword(s):

Risk Factors ◽

Vitamin D ◽

South Korea ◽

Cross Sectional Study ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Vitamin D Status ◽

Sectional Study ◽

Cross Sectional ◽

North Korean Refugees

Download Full-text

The Sleep-E Study: An on-going cross-sectional study investigating associations of sleep quality and cardio-metabolic risk factors

Proceedings of The Nutrition Society ◽

10.1017/s0029665115004498 ◽

2016 ◽

Vol 75 (OCE1) ◽

Cited By ~ 1

Author(s):

H.K. Al Khatib ◽

S.K. Kfoury ◽

J. Mehat ◽

G.K. Pot ◽

S.V. Harding ◽

...

Keyword(s):

Risk Factors ◽

Sleep Quality ◽

Cross Sectional Study ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Sectional Study ◽

Cross Sectional

Download Full-text

Obesity and Cardio-Metabolic Risk Factors in an Urban and Rural Population in the Ashanti Region-Ghana: A Comparative Cross-Sectional Study

PLoS ONE ◽

10.1371/journal.pone.0129494 ◽

2015 ◽

Vol 10 (6) ◽

pp. e0129494 ◽

Cited By ~ 16

Author(s):

Christian Obirikorang ◽

Derick Nii Mensah Osakunor ◽

Enoch Odame Anto ◽

Samuel Opoku Amponsah ◽

Opei Kwafo Adarkwa

Keyword(s):

Risk Factors ◽

Rural Population ◽

Cross Sectional Study ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Sectional Study ◽

Cross Sectional ◽

Ashanti Region

Download Full-text

Cardio-metabolic risk factors among healthcare staff: a cross-sectional study at the hospitals in six cities of Ukraine dedicated to World Heart Day 2020

European Journal of Preventive Cardiology ◽

10.1093/eurjpc/zwab061.213 ◽

2021 ◽

Vol 28 (Supplement_1) ◽

Author(s):

I Sulska ◽

L Mishchenko ◽

A Sorokolietova ◽

M Hordina ◽

S Zhulinska

Keyword(s):

Risk Factors ◽

Family History ◽

High Risk ◽

Smoking Status ◽

Cross Sectional Study ◽

Metabolic Risk Factors ◽

Modifiable Risk Factors ◽

Metabolic Risk ◽

Sectional Study ◽

Cross Sectional

Abstract Funding Acknowledgements Type of funding sources: None. Background. There is a little information on the prevalence of cardio-metabolic risk factors in the Ukrainian medical staff. The aim of investigation was to determine the abundance of certain risk factors for cardiovascular (CV) diseases among the medical personnel in the six cities of Ukraine, a study dedicated to World Heart Day 2020. Purpose. To establish the presence of cardio-metabolic risk factors among medical workers in Ukraine. Materials and methods. A hospital-based cross-sectional study including 471 participants (415 female and 56 male) between the age of 19 and 79 years surveyed. The cardio-metabolic risk markers assessed were non-modifiable risk factors (family history) and modifiable risk factors (obesity, hypertension, dyslipidemia, diabetes, prediabetes, smoking status). The prevalence of hypertension (HTN) estimated by ESC 2018 recommendations, diabetes and prediabetes by ADA 2019, ESC 2019 and body mass index WHO criteria for obesity classifications. Using standard methods were assessed: fasting glucose concentration, glycosylated hemoglobin (HbA1c) and blood lipids (total cholesterol, LDL-C, triglycerides, HDL-C). Results The median age of participants was 53,3 ± 11,77 years. Positive smoking status reported by 66 persons (14,0%). Analysis of family history showed that 51,4% of the participants had of HTN, 14,9% of myocardial infarction and 25,1% of stroke. The prevalence of modifiable risk factors: HTN registered in 51,4% cases. Around 34,8% of participants were overweight, and 34,6% were obese, 70,7% had waist circumference more than 94 cm (men) and > 80 cm (woman). Prediabetes glycemic levels and diabetes incidence were 42,8% and 12,6%, accordingly. Atherogenic dyslipidemia estimated by increased level of LDL-C more than 4,9 mmol/l, which determinate high risk of CV disorders, estimated in 13,6% participants. Also high triglycerides levels were defined as those of at least 2,3 mmol/l were in 14,9%. Low level of aerobic activity (less than 150 min in week) had 33,4% participants. 30,7% of participants older than 40 years presented high CV risk and 23,9% were in very high risk. Conclusion. Cardio-metabolic risk factors prevail among medical workers in Ukraine. The results point to the relevance of public health recommendations to contribute lifestyle changes and early identification of risk factors for prevention of CV outcomes.

Download Full-text

Maternal and Paternal Effects on Hyperuricemia: A Cross-Sectional Study from the 7th Korean National Health and Nutrition Examination Survey

Modern Rheumatology ◽

10.1093/mr/roab095 ◽

2021 ◽

Author(s):

Sunggun Lee ◽

Min Wook So ◽

Doo-Ho Lim ◽

Mi-Young Kim ◽

Jae-Ha Lee ◽

...

Keyword(s):

Risk Factors ◽

National Health ◽

Alcohol Intake ◽

Cross Sectional Study ◽

Metabolic Risk Factors ◽

Metabolic Risk ◽

Nutrition Examination Survey ◽

Sectional Study ◽

Cross Sectional ◽

Health And Nutrition

Abstract Objective As heritability of hyperuricemia remains largely unexplained, we analyzed the association between parental and offspring hyperuricemia at the phenotype level. Methods This cross-sectional study included data on 2373 offspring and both-parent pairs from the 7th Korean National Health and Nutrition Examination Survey. Logistic regression and generalized estimating equation analysis were used to evaluate the association between offspring and parental hyperuricemia adjusting for metabolic risk factors and alcohol intake. Results Both maternal and paternal hyperuricemia were associated with offspring hyperuricemia among teenagers, but from age of 20 years, a strong association was observed between offspring and paternal, rather than, maternal hyperuricemia, and this could not be explained by metabolic risk factors such as obesity. However, there was positive interaction between offspring alcohol intake and parental hyperuricemia, and there was a stronger association between terciles of offspring alcohol intake and hyperuricemia in the presence of parental hyperuricemia: T1 (reference), T2 OR 1.1 (0.3–4.6), and T3 OR 3.3 (1.4–7.9) (P for trend 0.017) vs. T1 (reference), T2 OR 0.7 (0.3–1.9), and T3 OR 1.1 (0.6–2.2) (P for trend 0.974). Conclusion These results suggest gene-environment interaction, especially with respect to alcohol intake for hyperuricemia in Korean adults.

Download Full-text