Association of surrogate and direct measures of adiposity with risk of metabolic syndrome in rural Chinese women

Urinary Bisphenol A Concentration and Gestational Diabetes Mellitus in Chinese Women

BACKGROUND

Bisphenol A (BPA) has been associated with variable metabolic effects in animal models. It is unknown whether BPA exposure affects glucose tolerance in pregnancy. We aimed to investigate whether maternal urinary BPA concentration is associated with gestational diabetes mellitus (GDM).

METHODS

This study included 620 pregnant women from Shanghai, China 2012-2013. Maternal urinary BPA concentration was measured by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). GDM (n = 79) was diagnosed according to the criteria of the International Association of Diabetes and Pregnancy Study Groups (IADPSG). Multivariate regressions were used to explore the relationships of urinary BPA with GDM, plasma glucose levels in the 75-g 2-hour oral glucose tolerance test (OGTT), birth weight, and ponder index.

RESULTS

The geometric mean of BPA was 1.32 μg/L. After adjustment for maternal age, education, husband smoking status, prepregnancy body mass index (BMI), and urinary creatinine concentration, plasma glucose at 2 hours in the 75-g OGTT was 0.36 mmol/L lower (95% confidence index [CI] = -0.73, 0.01) for women with urine BPA in the high versus the low tertile. For each unit increase in natural log-transformed BPA, the odds of GDM was reduced by 27% (odds ratio (OR) = 0.73; 95% CI = 0.56, 0.97), the birth weight decreased by 25.70 g (95% CI = -54.48, 3.07), and ponder index was decreased by 0.02 (100 g/cm) (95% CI = -0.03, 0.00).

CONCLUSIONS

Higher maternal urinary BPA concentrations were associated with reduced risk of GDM and marginally lower birth weight and ponder index.

Maternal urinary triclosan level, gestational diabetes mellitus and birth weight in Chinese women

Triclosan (TCS) is an antibacterial chemical widely used in personal-care products and an endocrine disruptor. While TCS exposure is associated with insulin resistance and metabolic disorders in animals, few studies have assessed its effect on the risk of gestational diabetes mellitus (GDM) in humans. This study aimed to explore whether maternal urinary TCS level is associated with the risk of GDM and infant birthweight. We examined 620 pregnant women from Shanghai, China in 2012-2013. Urinary TCS level was measured with high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS), and categorized into high, medium and low in tertiles. GDM was defined based on recommendation of International Association of Diabetes and Pregnancy Study Groups (IADPSG). The GDM rate was 12.7%. TCS was detectable (≥0.1 ng/mL) in 97.9% women (median 2.7 ng/mL). There was a positive, but statistically non-significant association between urinary TCS levels and GDM (adjusted odds ratio 1.17; 95%CI: 0.99, 1.39, with each unit increase of log (TCS) ng/mL) with adjustment for urinary creatinine, maternal age, education, passive smoking, parity and prepregnancy BMI categories. 48.1% of infants were females. Birthweight was 122.8 g higher (95% CI: 13.9, 231.6 g) for female infants of women in high TCS (median 13.3 ng/mL) versus low TCS (median 0.77 ng/mL), with adjustment for urinary creatinine, prepregnancy BMI, GDM and other confounders. No association was found between maternal TCS and birthweight in male infants. These results suggested the potential for TCS to be associated with increased risk of GDM and a gender-specific association with higher birthweight among female infants in a population with widespread but moderate exposure to TCS.

Associations of Body Composition Measurements with Serum Lipid, Glucose and Insulin Profile: A Chinese Twin Study

OBJECTIVES

To quantitate and compare the associations of various body composition measurements with serum metabolites and to what degree genetic or environmental factors affect obesity-metabolite relation.

METHODS

Body mass index (BMI), waist circumference (WC), lean body mass (LBM), percent body fat (PBF), fasting serum high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG), total cholesterol (TC), glucose, insulin and lifestyle factors were assessed in 903 twins from Chinese National Twin Registry (CNTR). Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated from fasting serum glucose and insulin. Linear regression models and bivariate structural equation models were used to examine the relation of various body composition measurements with serum metabolite levels and genetic/environmental influences on these associations, respectively.

RESULTS

At individual level, adiposity measurements (BMI, WC and PBF) showed significant associations with serum metabolite concentrations in both sexes and the associations still existed in male twins when using within-MZ twin pair comparison analyses. Associations of BMI with TG, insulin and HOMA-IR were significantly stronger in male twins compared to female twins (BMI-by-sex interaction p = 0.043, 0.020 and 0.019, respectively). Comparison of various adiposity measurements with levels of serum metabolites revealed that WC explained the largest fraction of variance in serum LDL-C, TG, TC and glucose concentrations while BMI performed best in explaining variance in serum HDL-C, insulin and HOMA-IR levels. Of these phenotypic correlations, 64-81% were attributed to genetic factors, whereas 19-36% were attributed to unique environmental factors.

CONCLUSIONS

We observed different associations between adiposity and serum metabolite profile and demonstrated that WC and BMI explained the largest fraction of variance in serum lipid profile and insulin resistance, respectively. To a large degree, shared genetic factors contributed to these associations with the remaining explained by twin-specific environmental factors.

Metabolic obesity, adipocytokines, and inflammatory markers in Asian Indians--CURES-124

AIM

This study looked at the association of adipokines, inflammatory and oxidative stress markers in subjects with the following phenotypes: metabolically healthy, nonobese (MHNO), metabolically healthy, obese (MHO), metabolically obese, nonobese (MONO), and metabolically obese, obese (MOO).

MATERIALS AND METHODS

Subjects with MHNO (n=462), MHO (n=192), MONO (n=315), and MOO (n=335) were randomly selected from the Chennai Urban Rural Epidemiology Study. Adiponectin, visfatin, resistin, high-sensitivity C-reactive protein (hs-CRP), tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), oxidized low-density lipoprotein (LDL), and monocyte chemoattractant protein-1 (MCP-1) were measured by enzyme-linked immunosorbent assay.

RESULTS

Levels of adiponectin were lowest in the MOO group, followed by the MONO, MHO, and the MHNO groups (P=0.042), whereas the levels of visfatin (P=0.042) and resistin (P=0.043) were highest in the MOO group, followed by the MONO, MHO, and the MHNO groups. Levels of hs-CRP (P=0.029), TNF-α (P=0.036), IL-6 (P=0.042), oxidized LDL (P=0.036), and MCP-1 (P=0.039) increased from the MHNO to MHO to MONO to MOO phenotypes. Linear regression analysis of the parameters with body mass index (BMI) and metabolic syndrome components showed that adiponectin is negatively associated with abdominal obesity (β=-0.060; P=0.039) and BMI (β=-0.076; P=0.009) and that TNF-α is negatively associated with high-density lipoprotein levels (β=0.114, P=0.049) even after adjusting for age and gender. hs-CRP (β=0.112, P=0.020) and oxidized LDL (β=0.114, P=0.050) showed a positive association with systolic blood pressure even after adjusting for age and gender.

CONCLUSIONS

The metabolically obese phenotype is characterized by altered adipokine and inflammatory profiles, which could make this phenotype at high risk for type 2 diabetes mellitus and cardiovascular diseases.