Passive Cigarette Smoking and Reduced HDL Cholesterol Levels in Children With High-Risk Lipid Profiles

Circulation ◽  
1997 ◽  
Vol 96 (5) ◽  
pp. 1403-1407 ◽  
Author(s):  
Ellis J. Neufeld ◽  
Michele Mietus-Snyder ◽  
Alexa S. Beiser ◽  
Annette L. Baker ◽  
Jane W. Newburger
2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Tao-Chun Peng ◽  
Chung-Ching Wang ◽  
Tung-Wei Kao ◽  
James Yi-Hsin Chan ◽  
Ya-Hui Yang ◽  
...  

Background. Although the link between hyperuricemia and metabolic syndrome had been recognized, the association of the dyslipidemia among individuals with hyperuricemia remains not comprehensively assessed.Methods. Using NHANES III study, we examined the relation between serum lipid profiles and different serum uric acid levels, including serum total cholesterol, LDL cholesterol, triglycerides, HDL cholesterol, apolipoprotein-B, lipoprotein (a), apolipoprotein AI, ratio of triglycerides to HDL cholesterol, and ratio of apolipoprotein-B to AI.Results. After adjusting for potential confounders, average differences (95% confidence interval) comparing the top to the bottom (reference) serum uric acid were 0.29 (0.19, 0.39) mmol/L for total cholesterol, 0.33 (0.26, 0.41) mmol/L for triglycerides, 0.14 (0.01, 0.27) mmol/L for LDL cholesterol, −0.08 (−0.11, −0.05) mmol/L for HDL, and 0.09 (0.05, 0.12) g/L for serum apolipoprotein-B. Notably, ratios of triglycerides to HDL cholesterol and apolipoprotein-B to AI were also linearly associated with uric acid levels (Pfor trend < 0.001).Conclusions. This study suggested that serum LDL cholesterol, triglycerides, total cholesterol, apolipoprotein-B levels, ratio of triglycerides to HDL cholesterol, and ratio of apolipoprotein-B to AI are strongly associated with serum uric acid levels, whereas serum HDL cholesterol levels are significantly inversely associated. In the clinical practice, the more comprehensive strategic management to deal with dyslipidemia and hyperuricemia deserves further investigation.


2019 ◽  
Vol 25 (30) ◽  
pp. 3266-3281 ◽  
Author(s):  
Hadis Fathizadeh ◽  
Alireza Milajerdi ◽  
Željko Reiner ◽  
Fariba Kolahdooz ◽  
Maryam Chamani ◽  
...  

Background: The findings of trials investigating the effects of L-carnitine administration on serum lipids are inconsistent. This meta-analysis of randomized controlled trials (RCTs) was performed to summarize the effects of L-carnitine intake on serum lipids in patients and healthy individuals. Methods: Two authors independently searched electronic databases including MEDLINE, EMBASE, Cochrane Library, Web of Science, PubMed and Google Scholar from 1990 until August 1, 2019, in order to find relevant RCTs. The quality of selected RCTs was evaluated using the Cochrane Collaboration risk of bias tool. Cochrane’s Q test and I-square (I2) statistic were used to determine the heterogeneity across included trials. Weight mean difference (SMD) and 95% CI between the two intervention groups were used to determine pooled effect sizes. Subgroup analyses were performed to evaluate the source of heterogeneity based on suspected variables such as, participant’s health conditions, age, dosage of L-carnitine, duration of study, sample size, and study location between primary RCTs. Results: Out of 3460 potential papers selected based on keywords search, 67 studies met the inclusion criteria and were eligible for the meta-analysis. The pooled results indicated that L-carnitine administration led to a significant decrease in triglycerides (WMD: -10.35; 95% CI: -16.43, -4.27), total cholesterol (WMD: -9.47; 95% CI: - 13.23, -5.70) and LDL-cholesterol (LDL-C) concentrations (WMD: -6.25; 95% CI: -9.30, -3.21), and a significant increase in HDL-cholesterol (HDL-C) levels (WMD: 1.39; 95% CI: 0.21, 2.57). L-carnitine supplementation did not influence VLDL-cholesterol concentrations. When we stratified studies for the predefined factors such as dosage, and age, no significant effects of the intervention on triglycerides, LDL-C, and HDL-C levels were found. Conclusion: This meta-analysis demonstrated that L-carnitine administration significantly reduced triglycerides, total cholesterol and LDL-cholesterol levels, and significantly increased HDL-cholesterol levels in the pooled analyses, but did not affect VLDL-cholesterol levels; however, these findings were not confirmed in our subgroup analyses by participant’s health conditions, age, dosage of L-carnitine, duration of study, sample size, and study location.


1997 ◽  
Vol 17 (3) ◽  
pp. 595-599 ◽  
Author(s):  
Jan Albert Kuivenhoven ◽  
Björn E. Groenemeyer ◽  
Jolanda M. A. Boer ◽  
Paul W. A. Reymer ◽  
Riteke Berghuis ◽  
...  

1978 ◽  
Vol 30 (1) ◽  
pp. 17-25 ◽  
Author(s):  
R.J. Garrison ◽  
W.B. Kannel ◽  
M. Feinleib ◽  
W.P. Castelli ◽  
P.M. McNamara ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jing Ming ◽  
Xian Wei ◽  
Min Han ◽  
Dilare Adi ◽  
Jialin Abuzhalihan ◽  
...  

AbstractDyslipidemia is one of the main risk factors for coronary heart disease (CHD). The E3 ubiquitin ligase which is encoded by the ring finger protein 145 (RNF145) gene is very important in the mediation of cholesterol synthesis and effectively treats hypercholesterolemia. Thus, the purpose of the present research is to investigate the connection between the polymorphism of the RNF145 gene and cholesterol levels in the populations in Xinjiang, China. A total of 1396 participants (Male: 628, Female: 768) were included in this study for genetic analysis of RNF145 gene, and we used the modified multiple connection detection response (iMLDR) technology to label two SNPs (rs17056583, rs12188266) of RNF145 genotyping. The relationship between the genotypes and the lipid profiles was analyzed with general linear model analysis after adjusting confounding variables. Through the analysis of the two SNPs in RNF145 gene, we discovered that both rs17056583 and rs12188266 were related to total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) concentrations (All P < 0.001). In addition, the association of rs17056583 and rs12188266 with lipid profiles concentrations is still statistically significant after multivariate adjustment of sex, age, smoking, obesity, drinking, diabetes, hypertension and lipid profiles. Meanwhile, we also found that rs17056583 was associated with high triglycerides concentrations before and after adjustment (All P < 0.001). Our study shows that both rs17056583 and rs12188266 SNPs of RNP145 gene are related to TC and LDL-C concentrations in Xinjiang population.


Medicines ◽  
2021 ◽  
Vol 8 (7) ◽  
pp. 37
Author(s):  
Raghuram Nagarathna ◽  
Saurabh Kumar ◽  
Akshay Anand ◽  
Ishwara N. Acharya ◽  
Amit Kumar Singh ◽  
...  

Background: Dyslipidemia poses a high risk for cardiovascular disease and stroke in Type 2 diabetes (T2DM). There are no studies on the impact of a validated integrated yoga lifestyle protocol on lipid profiles in a high-risk diabetes population. Methods: Here, we report the results of lipid profile values of 11,254 (yoga 5932 and control 5322) adults (20–70 years) of both genders with high risk (≥60 on Indian diabetes risk score) for diabetes from a nationwide rural and urban community-based two group (yoga and conventional management) cluster randomized controlled trial. The yoga group practiced a validated integrated yoga lifestyle protocol (DYP) in nine day camps followed by daily one-hour practice. Biochemical profiling included glycated hemoglobin and lipid profiles before and after three months. Results: There was a significant difference between groups (p < 0.001 ANCOVA) with improved serum total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein in the yoga group compared to the control group. Further, the regulatory effect of yoga was noted with a significant decrease or increase in those with high or low values of lipids, respectively, with marginal or no change in those within the normal range. Conclusion: Yoga lifestyle improves and regulates (lowered if high, increased if low) the blood lipid levels in both genders of prediabetic and diabetic individuals in both rural and urban Indian communities.


1995 ◽  
Vol 15 (11) ◽  
pp. 1793-1797 ◽  
Author(s):  
Désirée F. Jansen ◽  
Srecko Nedeljkovic ◽  
Edith J.M. Feskens ◽  
Miodrag C. Ostojic ◽  
Miodrag Z. Grujic ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Eva O. Melin ◽  
Jonatan Dereke ◽  
Magnus Hillman

Abstract Background Low levels of the soluble tumour necrosis factor-like weak inducer of apoptosis (sTWEAK) and depression are linked to cardiovascular disease. Galectin-3, inadequate glycemic control and low high-density lipoprotein (HDL)-cholesterol levels were previously linked to depression in these patients with type 1 diabetes mellitus (T1DM). The main aim was to explore whether sTWEAK was associated with depression. A secondary aim was to explore diabetes related variables associated with low sTWEAK. Methods Cross-sectional design. T1DM patients (n = 283, men 56%, age18–59 years) were consecutively recruited from one specialist diabetes clinic. Depression was defined as Hospital Anxiety and Depression Scale-Depression sub scale ≥8 points. Blood samples, anthropometrics and blood pressure were collected, supplemented with data from electronic health records. Enzyme linked immunosorbent assays were used to measure sTWEAK and galectin-3. Low sTWEAK was defined as < 7.2 ng/ml and high galectin-3 as ≥2.6 ng/ml. Multiple logistic regression analyses were performed, calibrated and validated for goodness of fit. We adjusted for age, sex, diabetes duration, galectin-3, metabolic variables, serum-creatinine, smoking, physical inactivity, medication, and cardiovascular complications. Results For 29 depressed versus 254 non-depressed patients the prevalence rates were for low sTWEAK: 93 and 68% (p = 0.003) and for high galectin-3: 34 and 13% (p = 0.005) respectively. HDL-cholesterol levels were lower for the depressed (p = 0.015). Patients with low sTWEAK versus high sTWEAK had lower usage of continuous subcutaneous insulin infusion (CSII) (6% versus 17%, p = 0.005). Low sTWEAK (adjusted odds ratio (AOR) 9.0, p = 0.006), high galectin-3 (AOR 6.3, p = 0.001), HDL-cholesterol (per mmol/l) (AOR 0.1, p = 0.006), use of antidepressants (AOR 8.4, p < 0.001), and age (per year) (AOR 1.05, p = 0.027) were associated with depression. CSII (AOR 0.3, p = 0.003) and depression (AOR 7.1, p = 0.009) were associated with low sTWEAK. Conclusions Lower levels of sTWEAK and HDL-cholesterol and higher levels of galectin-3 were independently associated with depression in T1DM. These factors might all contribute to the increased risk for cardiovascular disease and mortality previously demonstrated in patients with depression. CSII (inversely) and depression were independently associated with low sTWEAK levels.


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