Pro-inflammatory cytokine gene polymorphisms and threat for coronary heart disease in a North Indian Agrawal population

The association of IFN-γ (+ 874 A/T; rs2430561), TNF-α (− 308 G/A; rs1800629) and TNF-β (+ 252 A/G; rs909253) with Coronary Heart Disease (CHD) has not been rigorously tested in Indian population. In the present study we sought to examine the role of these cytokines in the causation of CHD and their association with conventional CHD risk factors. A total of 138 case and 187 unrelated healthy controls aged 35 to 80 years, matched on ethnicity and geography were collected from North Indian Agrawal population. Single nucleotide polymorphisms at the promoter TNF-α − 308 G/A and the intronic IFN-γ + 874 A/T were analyzed by allele-specific PCR, and the intronic TNF-β + 252 A/G was analyzed by RFLP. Of the three selected polymorphisms, genotypic distribution of IFN-γ + 874 A/T and TNF-β + 252 A/G polymorphisms was significantly different between patients and controls in the present study. OR revealed statistically significant risk for CHD with respect to IFN-γ + 874 T allele, whereas OR for TNF-β + 252 A/G showed three fold risk in homozygous condition though not significant. No such trend could be observed for TNF-α − 308 G/A polymorphism. Multivariate logistic regression after adjusting for all the confounders showed significant risk for CHD with the genotypes and genotypic combinations of all the three markers (albeit not significant with TNF-α). Increased risk for CHD was likely to be associated with interaction of IFN-γ with diastolic hypertension, TNF-α with diabetes and BMI, and TNF-β with serum triglyceride and very low density lipoprotein (VLDL) levels. The results suggest that these selected cytokine polymorphisms could possibly serve as potential bio-markers for CHD in conjunction with specific conventional risk factors.     

The association between sleep chronotype and obesity among black and white participants of the Bogalusa Heart Study

ABSTRACT

Research indicates that sleep duration and quality are inter-related factors that contribute to obesity, but few studies have focused on sleep chronotype, representing an individual’s circadian proclivity, nor assessed these factors in racially diverse middle-aged samples. We examined the associations between chronotype and obesity among black and white men and women participating in the Bogalusa Heart Study (BHS).

Body mass index (BMI) and sleep data were available for 1,197 middle-aged men and women (mean age 48.2 ± 5.3 years) who participated in the BHS 2013–2016. Based on the reduced Morningness-Eveningness Questionnaire’s cutoff values for chronotypes, we combined ‘definitely morning’ and ‘moderately morning’ types into ‘morning’ type, ‘definitely evening’ and ‘moderately evening’ types into ‘evening’ type and kept those who were “neither” type in a separate group. We used ‘morning’ type as the referent group. Obesity was defined as a BMI ≥ 30. Multivariable logistic regression models were used to examine associations adjusting for sex, age, education, smoking, alcohol use and drug use, depression, shift work, physical activity and sleep duration.

Evening chronotype, reported by 11.1% of participants, was associated with obesity after multi-variable adjustment, including shift work, physical activity and sleep duration (OR 1.67, 95% CI: 1.08–2.56). However, once stratified by race (black/white), this association was found only among white participants (OR = 1.91, 95% CI = 1.12–3.25) after full adjustment.

In our biracial, community-based population, evening chronotype was independently associated with obesity, specifically among white participants. Further research is needed to identify behavioral, endocrine, nutritional and genetic pathways which underlie these associations.     

Lipid metabolism and osteoarthritis: lessons from atherosclerosis

Osteoarthritis (OA) is an age-related degenerative disease comprising the main reason of handicap in the Western world. Interestingly, to date, there are neither available biomarkers for early diagnosis of the disease nor any effective therapy other than symptomatic treatment and joint replacement surgery. OA has long been associated with obesity, mainly due to mechanical overload exerted on the joints. Recent studies however, point to the direction that OA is a metabolic disease, as it also involves non-weight bearing joints. In fact, altered lipid metabolism may be the underlying cause. First, adipokines have been shown to be key regulators of OA pathogenesis. Second, epidemiological studies have shown serum cholesterol to be a risk factor for OA development. Third, lipid deposition in the joint is observed at the early stages of OA before the occurrence of histological changes. Fourth, proteomic analyses have shown an important connection between OA and lipid metabolism. Finally, recent gene expression studies reveal a deregulation of cholesterol influx and efflux and in the expression of lipid metabolism-related genes. Interestingly, lipids and lipid metabolism are known to be implicated in the development and progression of another age-related degenerative disease, atherosclerosis (ATH). Thus, although it is tempting to speculate that the osteoarthritic chondrocyte has been transformed to foam cell, it has not been proven yet. However, this may be an intriguing theory linking ATH and OA, which may open new avenues to novel therapeutic interventions for OA taking advantage of previous knowledge from ATH.     

Body mass index and the risk of head and neck cancer in the Chinese population

ObjectiveTo investigate potential associations between body mass index (BMI) and head and neck cancer (HNC) risk in an East Asian population.MethodsWe conducted a hospital-based multicenter case-control study in East Asia including 921 cases and 806 controls. We estimated the odds ratios (ORs) and 95% confidence intervals (95% CI) for HNC risks by using logistic regression, adjusting on potential confounders.ResultsCompared to normal BMI at interview (18.5–<25 kg/m²), being underweight (BMI < 18.5 kg/m²) was associated with a higher HNC risk (OR = 2.71, 95% CI 1.40–5.26). Additionally, obesity (BMI > 30 kg/m²) was associated with a lower HNC risk (OR = 0.30, 95% CI 0.16–0.57). Being underweight at age 20 was also associated with an increased risk of HNC. However, being underweight at 5 years or 2 years before interview was not associated with a higher risk of HNC.ConclusionWe observed an inverse association between BMI and HNC risk, which is consistent with previous studies in other geographic regions. Being underweight at age 20 was also associated with a higher risk of HNC, suggesting that reverse causality was not the main source of the association.     

Impaired Expression of Rearranged Immunoglobulin Genes and Premature p53 Activation Block B Cell Development in BMI1 Null Mice

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Labor market engagement and the body mass index of working adults: Evidence from India

Galvanized by rapid income growth, labor market transitions in the nature of jobs, and lifestyle factors, there has been an increase in rates of obesity in many developing countries. This paper examines the relationship between BMI and sector and physical intensity of work among urban adults in India. We document that BMI is positively and significantly associated with labor market inactivity. Women in white-collar work have about 1.01 kg/m² higher BMI than women in blue-collar work. For working men, the comparable estimate is approximately 1.18 kg/m². We find that the increase in overall BMI originates from those who are already at high levels of BMI. Further, relative to the non-working sample, employment in a blue-collar occupation is associated with a BMI penalty for men and women. We find suggestive evidence that the increase in BMI for women is driven by a decline in energy expenditure, while both a decrease in energy expenditure and an increase in energy intake are important in explaining BMI dynamics for men. These results are robust to a variety of specification and methodological checks, and suggest that the increasing trend in BMI may be attributed to the transition towards a more sedentary occupational structure. Overall our research underlines the important role played by occupational engagement in determining the general health of populations in developing countries.     

妊娠期糖尿病患者孕前BMI与血糖及膳食营养摄入的相关性分析

目的:分析妊娠期糖尿病患者孕前身体质量指数(Body Mass Index,BMI)与血糖水平及膳食营养摄入的相关性。方法:选择2017年1月-2018年1月于我院治疗的妊娠期糖尿病患者86例作为观察组,另选择血糖水平正常的孕妇60例作为对照组,并依据BMI不同将观察组分为A组(BMI18.5 kg/m~2)、B组(18.5 kg/m~2≤BMI24.0 kg/m~2)、C组(24.0 kg/m~2≤BMI≤28.0 kg/m~2)、D组(BMI28.0 kg/m~2)。比较各组孕前BMI、血糖水平及膳食营养摄入情况。结果:观察组孕前体重、BMI、脂肪供能比均显著高于对照组,碳水化合物摄入量及碳水化合物供能比低于对照组,差异均有统计学意义(P0.05);各组空腹时、餐后2 h血糖水平以及每日能量、脂肪摄入比较结果显示:D组C组B组A组,且组间差异均有统计学意义(P0.05)。结论:孕前BMI与血糖水平及膳食营养摄入存在一定相关性,控制合理体重、保持营养均衡对于降低妊娠期糖尿病发生率具有重要意义。     

A combined morphometric analysis of foot form and its association with sex,stature, and body mass

Objectives: Morphometric analysis of footprints is a classic means for orthopedic diagnosis. In forensics and physical anthropology, it is commonly used for the estimation of stature and body mass. We studied individual variation and sexual dimorphism of foot dimensions and footprint shape by a combination of classic foot measurements and geometric morphometric methods. Methods: Left and right feet of 134 healthy adult males and females were scanned twice with a 3D optical laser scanner, and stature as well as body mass were recorded. Foot length and width were measured on the 3D scans. The 2D footprints were extracted as the plantar‐most 2 mm of the 3D scans and measured with 85 landmarks and semilandmarks. Results: Both foot size and footprint shape are sexually dimorphic and relate to stature and body mass. While dimorphism in foot length largely results from dimorphism in stature, dimorphism in footprint shape partly owes to the dimorphism in BMI. Stature could be estimated well based on foot length (R² = 0.76), whereas body mass was more closely related to foot width (R² = 0.62). Sex could be estimated correctly for 95% of the individuals based on a combination of foot width and length. Discussion: Geometric morphometrics proved to be an effective tool for the detailed analysis of footprint shape. However, for the estimation of stature, body mass, and sex, shape variables did not considerably improve estimates based on foot length and width. Am J Phys Anthropol 157:582–591, 2015. © 2015 Wiley Periodicals, Inc.