Body mass index and high-density lipoproteins in Cherokee Indian children and adolescents

An approach to assess and adjust for the influence of multicollinear covariates on metabolomics association patterns-applied to a study of the associations between a comprehensive lipoprotein profile and the homeostatic model assessment of insulin resistance

INTRODUCTION

Comprehensive lipoprotein profiling using proton nuclear magnetic resonance (NMR) spectroscopy of serum represents an alternative to the homeostatic model assessment of insulin resistance (HOMA-IR). Both adiposity and physical (in)activity associate to insulin resistance, but quantification of the influence of these two lifestyle related factors on the association pattern of HOMA-IR to lipoproteins suffers from lack of appropriate methods to handle multicollinear covariates.

OBJECTIVES

We aimed at (i) developing an approach for assessment and adjustment of the influence of multicollinear and even linear dependent covariates on regression models, and (ii) to use this approach to examine the influence of adiposity and physical activity on the association pattern between HOMA-IR and the lipoprotein profile.

METHODS

For 841 children, lipoprotein profiles were obtained from serum proton NMR and physical activity (PA) intensity profiles from accelerometry. Adiposity was measured as body mass index, the ratio of waist circumference to height, and skinfold thickness. Target projections were used to assess and isolate the influence of adiposity and PA on the association pattern of HOMA-IR to the lipoproteins.

RESULTS

Adiposity explained just over 50% of the association pattern of HOMA-IR to the lipoproteins with strongest influence on high-density lipoprotein features. The influence of PA was mainly attributed to a strong inverse association between adiposity and moderate and high-intensity physical activity.

CONCLUSION

The presented covariate projection approach to obtain net association patterns, made it possible to quantify and interpret the influence of adiposity and physical (in)activity on the association pattern of HOMA-IR to the lipoprotein features.

Cardiometabolic Associations between Physical Activity, Adiposity, and Lipoprotein Subclasses in Prepubertal Norwegian Children

Lipoprotein subclasses possess crucial cardiometabolic information. Due to strong multicollinearity among variables, little is known about the strength of influence of physical activity (PA) and adiposity upon this cardiometabolic pattern. Using a novel approach to adjust for covariates, we aimed at determining the "net" patterns and strength for PA and adiposity to the lipoprotein profile. Principal component and multivariate pattern analysis were used for the analysis of 841 prepubertal children characterized by 26 lipoprotein features determined by proton nuclear magnetic resonance spectroscopy, a high-resolution PA descriptor derived from accelerometry, and three adiposity measures: body mass index, waist circumference to height, and skinfold thickness. Our approach focuses on revealing and validating the underlying predictive association patterns in the metabolic, anthropologic, and PA data to acknowledge the inherent multicollinear nature of such data. PA associates to a favorable cardiometabolic pattern of increased high-density lipoproteins (HDL), very large and large HDL particles, and large size of HDL particles, and decreasedtriglyceride, chylomicrons, very low-density lipoproteins (VLDL), and their subclasses, and to low size of VLDL particles. Although weakened in strength, this pattern resists adjustment for adiposity. Adiposity is inversely associated to this pattern and exhibits unfavorable associations to low-density lipoprotein (LDL) features, including atherogenic small and very small LDL particles. The observed associations are still strong after adjustment for PA. Thus, lipoproteins explain 26.0% in adiposity after adjustment for PA compared to 2.3% in PA after adjustment for adiposity.

Prevalence of Metabolic Syndrome in Middle School Children and Evaluation of Components of Metabolic Syndrome

Objectives:

This study was designed to determine the prevalence of metabolic syndrome (MS) in Turkish children and to examine the relationship between MS components in this age group.

Methods:

A total of 395 students in Istanbul aged 10 to 14 years in the 2004-2005 school year were enrolled in the study. Body weight, height, waist circumference, hip circumference, and systolic-diastolic blood pressure were measured. Of the total, 353 provided blood samples for analysis of fasting glucose level, basal insulin, total cholesterol, triglyceride, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and very-low-density lipoprotein (VLDL) levels. Modified World Health Organization criteria were used for the diagnosis of MS.

Results:

In this study, 44.5% of the children were female and 55.5% were male. The mean body mass index (BMI) was 20.57±3.48 kg/m², 10.4% (n=41) were overweight, and 12.7% (n=50) were obese. MS was diagnosed in 0.85% of the entire study group and in 6% of the obese children. There was a positive correlation between BMI and waist circumference (p<0.001), waist/hip ratio (p<0.001), systolic blood pressure (p<0.001), diastolic blood pressure (p<0.001), basal insulin level (p<0.001), homeostasis model assessment of insulin resistance (p<0.001), triglyceride value (p<0.001), total cholesterol level (p<0.05), LDL (p<0.001), and VLDL level (p<0.001), and a negative correlation with HDL level (p<0.001).

Conclusion:

The study results confirmed that MS is present in children and not limited to adults, and this is an important health problem. The prevalence of MS is more common in obese children. Therefore, early diagnosis of obese children and examination of cardiovascular risk factors and metabolic syndrome criteria is very important.

Promoter Methylation Regulates ApoA-I Gene Transcription in Chicken Abdominal Adipose Tissue

As a central constituent of HDL (high-density lipoprotein), apolipoprotein A-I (ApoA-I) has a vital function in lipid metabolism. Our previous studies confirmed that ApoA-I was differentially expressed in the adipose tissue of the abdomen of lean and fat broilers. The aim of the current work was to evaluate whether the transcription of ApoA-I in chicken abdominal adipose tissue was regulated by DNA methylation. The methylation status of ApoA-I promoter CpG island (PCGI) and promoter non-CpG island (PNCGI) as well as the ApoA-I expression level in adipose tissue of lean and fat broilers were determined using Sequenom MassARRAY and real-time PCR. The correlation analysis results showed that the methylation level of PCGI and the ApoA-I mRNA expression level were negatively correlated. Bisulfite sequencing PCR was used to assess the methylation level of ApoA-I promoter in the ICP1 cells treated with 5-aza-2'-deoxycytidine (5-Aza-CdR: an inhibitor of DNA methyltransferase). The result showed that 5-Aza-CdR caused a reduction in the methylation level of the ApoA-I promoter, thereby causing an increase in expression of the ApoA-I mRNA. Meanwhile, luciferase reporter assays indicated that in vitro methylation of the ApoA-I promoter containing CpG island with CpG methyltransferase led to transcriptional repression. Furthermore, the noticeable activation of NRF1 on ApoA-I transcription was largely enhanced  by the demethylation of the ApoA-I PCGI region. These observations indicated that the differential expression of ApoA-I gene in the adipose tissue of broilers could be mediated by transcription regulation, at least in part by DNA methylation in its PCGI region.

Apolipoproteins A-I, B, and C-III and Obesity in Young Adult Cherokee

Since young adult Cherokee are at increased risk for both diabetes and cardiovascular disease, we assessed association of apolipoproteins (A-I, B, and C-III in non-HDL and HDL) with obesity and related risk factors. Obese participants (BMI ≥ 30) aged 20–40 years (n = 476) were studied. Metabolically healthy obese (MHO) individuals were defined as not having any of four components of the ATP-III metabolic syndrome after exclusion of waist circumference, and obese participants not being MHO were defined as metabolically abnormal obese (MAO). Associations were evaluated by correlation and regression modeling. Obesity measures, blood pressure, insulin resistance, lipids, and apolipoproteins were significantly different between groups except for total cholesterol, LDL-C, and HDL-apoC-III. Apolipoproteins were not correlated with obesity measures with the exception of apoA-I with waist and the waist : height ratio. In a logistic regression model apoA-I and the apoB : apoA-I ratio were significantly selected for identifying those being MHO, and the result (C-statistic = 0.902) indicated that apoA-I and the apoB : apoA-I ratio can be used to identify a subgroup of obese individuals with a significantly less atherogenic lipid and apolipoprotein profile, particularly in obese Cherokee men in whom MHO is more likely.

Sex differences in HDL ApoC-III in American Indian youth

Background

Since American Indians are predisposed to type 2 diabetes (DM2) and associated cardiovascular risk, Cherokee boys and girls (n = 917) were studied to determine whether BMI Z (body mass index Z score) is associated with the apoC-III (apolipoprotein C-III) content of HDL (high density lipoprotein), a previously reported predictor of DM2.

Methods

An ad hoc cross-sectional analysis was conducted on a previously studied cohort. Participants were grouped by gender-specific age groups (5 to 9, 10 to 14 and 15 to 19 years). ApoA-I (apolipoprotein A-I) and HDL apoC-III were assayed by electroimmunoassay. ApoC-III was measured in whole plasma, and in HDL to determine the molar proportion to apoA-I. General linear models were used to assess association.

Results

The HDL apoC-III to apoA-I molar ratio increased by BMI Z quartile in girls aged 10–14 years (p < 0.05 for linear trend, p < 0.05 for difference in BMI Z quartile IV vs. I to III) and aged 15–19 years (p < 0.05 for trend). In boys the increase by BMI Z occurred only at ages 15–19 years (p < 0.01 for trend and for quartile difference).

Conclusions

ApoC-III showed an obesity-related increase relative to apoA-I during adolescence beginning in girls aged 10 to 14 years and in boys aged 15 to 19 years. The earlier changes in girls may alter HDL’s protective properties on the β-cell and contribute to their increased risk for DM2.

Associations of BMI and its fat-free and fat components with blood lipids in children: Project HeartBeat!

AIM: This study aimed to distinguish between the roles of the two components of BMI, the fat mass (FM) index and the fat-free mass (FFM) index, in BMI's association with blood lipids in children and adolescents. METHODS: A total of 678 children (49.1% female, 79.9% non-black), initially aged 8, 11 and 14 years, were followed at 4-month intervals for up to 4 years (1991-1995). Total cholesterol (TC), LDL-C, HDL-C and triglycerides were determined in fasting blood samples. FFM index and FM index were calculated as FFM (kg)/height (m)(2) and FM (kg)/height (m)(2), respectively. Using a multilevel linear model, repeated measurements of blood lipids were regressed on concurrent measures of BMI or its components, adjusting for age, sex and race and, in a subsample, also for physical activity, energy intake and sexual maturity. RESULTS: Estimated regression coefficients for the relations of TC with BMI, FFM index and FM index were 1.539, -0.606 (p > 0.05) and 3.649, respectively. When FFM index and FM index were entered into the TC model simultaneously, regression coefficients were -0.855 and 3.743, respectively. An increase in BMI was related to an increase in TC; however, an equivalent increase in FM index was related to a greater increase in TC and, when FFM index was tested alone or with FM index, an increase in FFM index was related to a decrease in TC. Similar results were observed for LDL-C. FFM index and FM index were both inversely related to HDL-C and directly to triglycerides. Compared with FFM index, the equivalent increase in FM index showed a greater decrease in HDL-C. CONCLUSION: Greater BMI was related to adverse levels of blood lipids in children and adolescents, which was mainly attributable to BMI's fat component. It is important to identify weight management strategies to halt the childhood obesity epidemic and subsequently prevent heart disease in adulthood.