The lipoprotein lipase S447X and cholesteryl ester transfer protein rs5882 polymorphisms and their relationship with lipid profile in human serum of obese individuals

Emamian, Marzieh; Avan, Amir; Pasdar, Alireza; Mirhafez, Seyed Reza; Sadeghzadeh, Mahsa; Moghadam, Masoud Saleh; Parizadeh, Seyed Mohammad Reza; Ferns, Gordon A.

doi:10.1016/j.gene.2014.12.070

Cited by 34 publications

(22 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Anthropometric parameters, including height, body weight, Body mass index (BMI) and waist and hip circumference (WC and HC) were measured in all the subjected as previously described, while systolic and diastolic blood pressures were measured by sphygmomanometers . A fasted lipid profile, including total cholesterol (TC), HDL‐C, LDL‐C, TG and fasting blood glucose (FBG) and serum C‐reactive protein (CRP), and uric acid were measured using standard procedure as described previously…”

Section: Methodsmentioning

confidence: 99%

Prevalence of combined and noncombined dyslipidemia in an Iranian population

Darroudi

Saberi‐Karimian

Tayefi

et al. 2018

Clinical Laboratory Analysis

Self Cite

View full text Add to dashboard Cite

Background Combination of dyslipidemic phenotypes, including elevated plasma levels of low‐density lipoprotein cholesterol (LDL‐C), elevated plasma triglycerides (TG), and decreased low‐density lipoprotein cholesterol (HDL‐C) concentrations, is important because of the association of individual phenotypes with increased risk of cardiovascular disease (CVD). We investigated the prevalence of combined dyslipidemias and their effects on CVD risk in an Iranian large population. Method A total of 9847 individuals were recruited as part of the Mashhad Stroke and Heart Atherosclerotic Disorders (MASHAD) cohort study. Anthropometric parameters and biochemical indices were measured in all of the subjects. Different types of combined dyslipidemias including high TG + low HDL‐C, high TG + low HDL‐C + high LDL‐C, low HDL‐C + high LDL‐C, high TG + high LDL‐C, and finally high TG + high LDL‐C + low HDL‐C were considered. Ten‐year CVD risk was calculated using the QRISK2 risk algorithm and adjustments were made as suggested by the Joint British Societies’ (JBS2). Logistic regression analyses were performed to determine the association between different combined dyslipidemias and categorical QRISK. Results A total of 3952 males and 5895 females were included in this current study. Among the included subjects, 83.4% had one form of dyslipidemia, and 16.6% subjects were not dyslipidemic. The mean age was 48.88 ± 7.9 and 47.02 ± 8.54 years for dyslipidemic and nondyslipidemic groups, respectively. The results showed that the frequency of dyslipidemia was 98%, 87.1%, and 90% in subjects with metabolic syndrome, CVD, and diabetes, respectively. Our results suggested that around 15.7% of study population were at 10 years CVD risk (high ≥20) and it was higher in men than women (P < .001). Moreover, risk of CVD was higher in TG↑ & HDL↓ & LDL↑ group than other groups. Conclusion Prevalence of dyslipidemia was 83.4% among Iranian adults. The results showed that individuals with increased plasma TG and LDL‐C, and low HDL‐C levels had the highest 10 years CVD risk compared to other combined dyslipidemic phenotypes.

show abstract

Section: Methodsmentioning

confidence: 99%

Prevalence of combined and noncombined dyslipidemia in an Iranian population

Darroudi

Saberi‐Karimian

Tayefi

et al. 2018

Clinical Laboratory Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…Body mass index (BMI) was calculated using the formula, BMI = body weight (kg)/square of height (m 2 ) and BMIs of 20-25, 25-30, or >30 were considered normal, over-weight, or obese respectively [16,17] . Total cholesterol (TC), high-density-lipoprotein (HDL)-cholesterol, triglycerides (TG), fasting-blood-glucose (FBG), and LDL-cholesterol were evaluated in all the subjects using Pars Azma kits based on the manufacturer's protocols (Pars Azma Co., Tehran, Iran), and measured using BT-3000 auto-analyzer (Biotechnica, Rome, Italy).…”

Section: Anthropometric and Biochemical Measurementsmentioning

confidence: 99%

Reduced Serum Levels of Zinc and Superoxide Dismutase in Obese Individuals

et al. 2016

Self Cite

View full text Add to dashboard Cite

The oxidant-stress (OS) has an essential role to play in the pathogenesis and progression of many diseases. OS is the outcome when the level of free-radical-formation is increased or protective-antioxidant-mechanisms are compromised. Its value is expected to increase, although its emerging roles have not been conclusive in different studies. The objective of this study was to explore the level of zinc, copper, and antioxidant in response to obesity-related-stress by measuring superoxide-dismutase (SOD) levels as a key antioxidant-enzyme in 706 individuals with/without obesity. Anthropometric/biochemical parameters including total-cholesterol (TC), fasting-blood-glucose, high-density-lipoprotein (HDL), low-density-lipoprotein, and triglycerides were determined. The activity of SOD was measured followed by the measurement of Cu and Zn levels. Obese subjects had a significantly higher level of body mass index (BMI) and TC, while the level of HDL was lower in the obese group, as compared to the related values in control subjects. The level of Zn was significantly decreased in the obese group, while the level of Cu and Cu/Zn ratio increased. Additionally, we observed that the SOD level was less in obese subjects when compared to that in the non-obese subjects. In addition to the complications of high BMI, low level of Zn and SOD in obesity can be considered a risk factor, resulting in a reduced antioxidant response, supporting the need for identifying a suitable treatment option for this group.

show abstract

“…13 The interaction between body mass index (BMI) and the LPL genotype may explain the deleterious role of obesity on lipid profile levels.…”

Section: Introductionmentioning

confidence: 99%

“…13 LPL has a central role in lipid metabolism. There is a clear relationship between LPL activity and lipid concentrations.…”

mentioning

confidence: 99%

“…It has been shown that LPL polymorphisms affect plasma lipid concentration to a greater or lesser degree in individuals with different BMI levels. 13,14 To the best of our knowledge, no previous study has reported on interactions between LPL polymorphisms and birth weight or between LPL polymorphisms and BMI interactions, in relation to serum lipid concentrations in children and adolescents. It is plausible that interactions between birth weight or BMI and the LPL polymorphisms in association with serum lipid concentrations might occur through their effects on LPL activity.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Interaction of lipoprotein lipase polymorphisms with body mass index and birth weight to modulate lipid profiles in children and adolescents: the CASPIAN-III Study

et al. 2016

View full text Add to dashboard Cite

METHODS: Whole blood samples (kept frozen at -70 °C) were randomly selected from 750 students aged 10-18 years. Real-time polymerase chain reaction (PCR) and high-resolution melt analysis were performed to assess S447X (rs328), HindIII (rs320) and D9N (rs1801177) polymorphisms. RESULTS:The AG/GG genotype in D9N polymorphism was associated with higher LDL-C (low-density lipoprotein cholesterol) and lower HDL-C (high-density lipoprotein cholesterol) concentration.

show abstract

The lipoprotein lipase S447X and cholesteryl ester transfer protein rs5882 polymorphisms and their relationship with lipid profile in human serum of obese individuals

Cited by 34 publications

References 34 publications

Prevalence of combined and noncombined dyslipidemia in an Iranian population

Prevalence of combined and noncombined dyslipidemia in an Iranian population

Reduced Serum Levels of Zinc and Superoxide Dismutase in Obese Individuals

Interaction of lipoprotein lipase polymorphisms with body mass index and birth weight to modulate lipid profiles in children and adolescents: the CASPIAN-III Study

Contact Info

Product

Resources

About