Pattern Of Body Fat Distribution Research Articles

Associations of Phthalate Exposure With Adiposity and Metabolic Syndrome in US Adolescents and Adults, NHANES 2013 to 2018.

Phthalates are ubiquitous endocrine-disrupting chemicals and suspected obesogens. However, the associations with fat distribution and associated cardiometabolic complications remain unclear. We examined the associations between phthalate exposure, body fat (total and distribution patterns), and metabolic syndrome (MetS) among US adolescents and adults. We analyzed cross-sectional data from 829 adolescents and 3905 adults in the 2013 to 2018 National Health and Nutrition Examination Survey. Total percentage body fat (%BF), visceral adipose tissue (VAT) mass, and android to gynoid (A/G) ratio were determined using dual-energy x-ray absorptiometry. Associations between molar sums of low molecular weight (∑LMW), high molecular weight (∑HMW), and di(2-ethylhexyl) phthalate (∑DEHP) metabolites, and adiposity indicators and MetS were analyzed with multivariable linear and logistic regressions. Models included sex interaction terms, were stratified by age group, and adjusted for relevant covariates. ∑HMW and ∑DEHP exposures were positively associated with %BF in males, and all phthalate groups were associated with greater VAT mass and A/G ratio in adolescent males. Five-fold increases in ∑HMW and ∑DEHP metabolites were associated with 21.7% (95% CI, 10.5-33.9) and 18.0% (95% CI, 7.72-29.2) greater VAT mass among adolescent males, respectively. Sex modified the relationship between ∑HMW exposure and A/G ratio among adolescents (interaction P value = .0185). Phthalates were not associated with odds of MetS. When assessing individual MetS components, phthalates were associated with hyperglycemia in adult males. Greater exposure to phthalates was associated with greater %BF in all males, and with fat distribution in adolescent males; however, phthalates were not linked to MetS.

Visceral-to-peripheral adiposity ratio: a critical determinant of sex and ethnic differences in cardiovascular risks among Asian Indians and African Creoles in Mauritius

Background/AimsCoronary heart disease morbidity and mortality are higher in people of South Asian origin than in those of African origin. We investigated whether as young adults without diabetes, people in Mauritius of South Asian descent (Indians) would show a more adverse cardiovascular risk profile that those of predominantly African descent (Creoles), and whether this could be explained by ethnic differences in visceral adiposity or other fat distribution patterns.MethodsThe study was conducted in 189 young non-physically active adults, with the following measurements conducted after an overnight fast: anthropometry (weight, height, waist circumference), whole-body and regional body composition by dual-energy x-ray absorptiometry, blood pressure, and blood assays for glycemic (glucose and HbA1c) and lipid profile (triglycerides and cholesterols).ResultsThe results indicate higher serum triglycerides and lower HDL cholesterol in men than in women, and in Indians than in Creoles (p < 0.001). No significant differences due to sex or ethnicity are observed in body mass index and waist circumference, but indices of visceral adiposity (visceral/android, visceral/subcutaneous) and visceral-to-peripheral adiposity ratio (visceral/gynoid, visceral/limb) were significantly higher in men than in women, and in Indians than in Creoles. The significant effects of sex and ethnicity on blood lipid profile were either completely abolished or reduced to a greater extent after adjusting for the ratio of visceral-to-peripheral adiposity than for visceral adiposity per se.ConclusionsIn young adults in Mauritius, Indians show a more adverse pattern of body fat distribution and blood lipid risk profile than Creoles. Differences in their fat distribution patterns, however, only partially explain their differential atherogenic lipid risk profile, amid a greater impact of visceral-to-peripheral adiposity ratio than that of visceral adiposity per se on sex and ethnic differences in cardiovascular risks; the former possibly reflecting the ratio of hazardous (visceral) adiposity and protective (peripheral) superficial subcutaneous adiposity.

Alcohol Drinking Impacts on Adiposity and Steatotic Liver Disease: Concurrent Effects on Metabolic Pathways and Cardiovascular Risks.

This integrative search aimed to provide a scoping overview of the relationships between the benefits and harms of alcohol drinking with cardiovascular events as associated to body fat mass and fatty liver diseases, as well as offering critical insights for precision nutrition research and personalized medicine implementation concerning cardiovascular risk management associated to ethanol consumption. Frequent alcohol intake could contribute to a sustained rise in adiposity over time. Body fat distribution patterns (abdominal/gluteus-femoral) and intrahepatic accumulation of lipids have been linked to adverse cardiovascular clinical outcomes depending on ethanol intake. Therefore, there is a need to understand the complex interplay between alcohol consumption, adipose store distribution, metabolic dysfunction-associated steatotic liver disease (MASLD), and cardiovascular events in adult individuals. The current narrative review deals with underconsidered and apparently conflicting benefits concerning the amount of alcohol intake, ranging from abstention to moderation, and highlights the requirements for additional robust methodological studies and trials to interpret undertrained and existing controversies. The conclusion of this review emphasizes the need of newer multifaceted clinical approaches for precision medicine implementation, considering epidemiological strategies and pathophysiological mechanistic. Newer investigations and trials should be derived and performed particularly focusing both on alcohol's objective consequences as putatively mediated by fat deposition, including associated roles in fatty liver disease as well as to differentiate the impact of different levels of alcohol consumption (absence or moderation) concerning cardiovascular risks and accompanying clinical manifestations. Indeed, the threshold for the safe consumption of alcoholic drinks remains to be fully elucidated.

Pattern of body fat distribution in patients of PCOS using DEXA-based indices

BackgroundConsidering the close link between polycystic ovary syndrome (PCOS) and metabolic syndrome considerable research has been devoted to studying the pattern of fat distribution in PCOS.ObjectivesThe study aims to assess the usefulness of dual-energy X-ray absorptiometry (DEXA) based regional fat distribution indices as a predictor of the development of PCOS.MethodsThis case–control study recruited diagnosed cases of PCOS using Rotterdam Criteria (cases n = 86) and healthy age-matched controls (n = 90). DEXA was performed in both groups for assessment of total and regional body fat distribution after undergoing ultrasonography (USG) and baseline/biochemical evaluation.ResultsThe study revealed a significant difference between cases and controls in trunk fat percentage (40.2% ± 9.1% vs 26.5% ± 9.1%; p < 0.001), android fat percentage (42.4% ± 41%vs 27.8% ± 1.51%; p < 0.001), total fat percentage (43.8% ± 8% vs28.5% ± 1.6%; p < 0.001), fat mass/ht2 (fat mass index) (8.82 ± 3% vs 4.8 ± 1.7%; p < 0.001), android/gynoid ratio (1.05 ± 0.1 vs 0.7 ± 0.2; p < 0.001), and trunk/limb fat mass ratio (1.06 ± 0.3 vs 0.69 ± 0.3; p 0.001). Multivariate analysis revealed a significant relation of trunk fat mass with android % fat, gynoid fat mass, and android-gynoid ratio.ConclusionsThe study demonstrates that there is a central pattern of fat distribution in patients with PCOS while the overall fat might not be increased which is well analyzed by DEXA. Hence, we suggest its use in the initial diagnostic workup and follow-up of PCOS patients for their body fat distribution and content.

Altered extracellular matrix dynamics is associated with insulin resistance in adolescent children with obesity.

The objective of this study was to examine the hypothesis that abdominal and gluteal adipocyte turnover, lipid dynamics, and fibrogenesis are dysregulated among insulin-resistant (IR) compared with insulin-sensitive (IS) adolescents with obesity. Seven IS and seven IR adolescents with obesity participated in a 3-h oral glucose tolerance test and a multi-section magnetic resonance imaging scan of the abdominal region to examine body fat distribution patterns and liver fat content. An 8-week 70% deuterated water (2 H2 O) labeling protocol examined adipocyte turnover, lipid dynamics, and fibrogenesis in vivo from biopsied abdominal and gluteal fat. Abdominal and gluteal subcutaneous adipose tissue (SAT) turnover rates of lipid components were similar among IS and IR adolescents with obesity. However, the insoluble collagen (type I, subunit α2) isoform measured from abdominal, but not gluteal, SAT was elevated in IR compared with IS individuals. In addition, abdominal insoluble collagen Iα2 was associated with ratios of visceral-to-total (visceral adipose tissue + SAT) abdominal fat and whole-body and adipose tissue insulin signaling, and it trended toward a positive association with liver fat content. Altered extracellular matrix dynamics, but not expandability, potentially decreases abdominal SAT lipid storage capacity, contributing to the pathophysiological pathways linking adipose tissue and whole-body IR with altered ectopic storage of lipids within the liver among IR adolescents with obesity.

Skewness in Body fat Distribution Pattern Links to Specific Cardiometabolic Disease Risk Profiles.

Fat distribution pattern could help determine cardiometabolic risk profile. This study aimed to evaluate the association of balance/imbalance between visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (aSAT), and liver fat (LF) with incident type 2 diabetes (T2D) and cardiovascular disease (CVD) in the UK Biobank prospective cohort study. Magnetic resonance images of 40 174 participants were analyzed for VAT, aSAT, and LF using AMRA® Researcher. To assess fat distribution patterns independent of body mass index (BMI), fat z-scores (z-VAT, z-aSAT, z-LF) were calculated. Participants without prevalent T2D/CVD (N = 35 138) were partitioned based on balance between (1) z-VAT and z-LF (z-scores = 0 as cut-points for high/low), (2) z-VAT and z-aSAT, and (3) z-LF and z-aSAT. Associations with T2D/CVD were investigated using Cox regression (crude and adjusted for sex, age, BMI, lifestyle, arterial hypertension, statin treatment). T2D was significantly associated with z-LF (hazard ratio, [95% CI] 1.74 [1.52-1.98], P < .001) and z-VAT (1.70 [1.49-1.95], P < .001). Both remained significant after full adjustment. For z-scores balance, strongest associations with T2D were z-VAT > 0 and z-LF > 0 (4.61 [2.98-7.12]), z-VAT > 0 and z-aSAT < 0 (4.48 [2.85-7.06]), and z-LF > 0 and z-aSAT < 0 (2.69 [1.76-4.12]), all P < .001. CVD was most strongly associated with z-VAT (1.22 [1.16-1.28], P < .001) which remained significant after adjustment for sex, age, BMI, and lifestyle. For z-scores balance, strongest associations with CVD were z-VAT > 0 and z-LF < 0 (1.53 [1.34-1.76], P < .001) and z-VAT > 0 and z-aSAT < 0 (1.54 [1.34-1.76], P < .001). When adjusted for sex, age, and BMI, only z-VAT > 0 and z-LF < 0 remained significant. High VAT in relation to BMI (z-VAT > 0) was consistently linked to both T2D and CVD; z-LF > 0 was linked to T2D only. Skewed fat distribution patterns showed elevated risk for CVD (z-VAT > 0 and z-LF < 0 and z-VAT > 0 and z-aSAT < 0) and T2D (z-VAT > 0 and z-aSAT < 0).

Abstract #1400837: Skewness in Body Fat Distribution Pattern Links to Specific Cardiometabolic Disease Risk Profiles

Research on body fat distribution illustrates a heterogeneity within obesity and indicates that the pattern in which a person carries their fat could help determine each individual’s cardiometabolic risk profile. The aim of this study was to evaluate the association between balance of different fat compartments (visceral, subcutaneous, and liver) with incident type 2 diabetes (T2D) and cardiovascular disease (CVD) in the UK Biobank imaging study. Magnetic resonance images were collected in 40,174 participants using a 6-minute neck-to-knee protocol and analyzed for visceral adipose tissue (VAT) volume, abdominal subcutaneous adipose tissue (aSAT) volume, and liver proton density fat fraction (LF) using AMRA® Researcher. To assess body fat distribution patterns independent of BMI, personalized body fat z-scores (VATz, aSATz, and LFz) were calculated for each participant using the distribution of least N=150 matched controls with the same sex and similar BMI. Participants without prevalent T2D and CVD (N=35,138), were partitioned in 3 ways: based on the balance between (1) VATz & LFz using z-scores=0 as cut-points (thus creating 4 groups: VATz< 0 & LFz< 0 (reference [lower VAT and LF than predicted by BMI]); VATz< 0 & LFz >0; VATz >0 & LFz< 0; VATz >0 & LFz >0, (2) VATz & aSATz, and (3) LFz & aSATz. Logistic regression and Cox proportional-hazards models were used to investigate the association of the balance between body fat z-scores with incident T2D and CVD respectively. Models were crude and subsequently adjusted for sex, age, and BMI. The strongest association with incident T2D were found for VATz >0 & LFz >0 (crude odds ratio (cOR) 4.31, 95% CI 2.83-6.78, p< 0.001), VATz >0 & aSATz< 0 (cOR 4.43, 95% CI 2.85-7.11, p< 0.001), and LFz >0 & aSATz< 0 (cOR 2.47, 95% CI 1.62-3.83, p< 0.001). When adjusted for sex, age, and BMI, those with VATz >0 and/or LFz >0 remained significant. For incident CVD, the strongest associations were found for VATz >0 & LFz< 0 (crude hazard ratio (cHR) 1.53, 95% CI 1.34-1.76, p< 0.001) and VATz >0 & aSATz< 0 (cHR 1.54, 95% CI 1.34-1.76, p< 0.001). When adjusted for sex, age, and BMI, only VATz >0 & LFz< 0 remained significant. Excessive accumulation of VAT in relation to BMI (VATz >0) was consistently linked to both T2D and CVD. Excessive accumulation of LF in relation to BMI (LFz >0) was linked to T2D only. Groups with skewed fat distribution patterns showed the highest risk for incident CVD (VATz >0 & LFz< 0 and VATz >0 & aSATz< 0) and T2D (VATz >0 & aSATz< 0). Descriptions of body fat distribution pattern could inform diagnosis and treatment strategies for obesity and related conditions.

Systematic metabolomic studies identified adult adiposity biomarkers with acetylglycine associated with fat loss in vivo.

Obesity is associated with various adverse health outcomes. Body fat (BF) distribution is recognized as an important factor of negative health consequences of obesity. Although metabolomics studies, mainly focused on body mass index (BMI) and waist circumference, have explored the biological mechanisms involved in the development of obesity, these proxy composite measures are not accurate and cannot reflect BF distribution, and thus may hinder accurate assessment of metabolic alterations and differential risk of metabolic disorders among individuals presenting adiposity differently throughout the body. Thus, the exact relations between metabolites and BF remain to be elucidated. Here, we aim to examine the associations of metabolites and metabolic pathways with BF traits which reflect BF distribution. We performed systematic untargeted serum metabolite profiling and dual-energy X-ray absorptiometry (DXA) whole body fat scan for 517 Chinese women. We jointly analyzed DXA-derived four BF phenotypes to detect cross-phenotype metabolite associations and to prioritize important metabolomic factors. Topology-based pathway analysis was used to identify important BF-related biological processes. Finally, we explored the relationships of the identified BF-related candidate metabolites with BF traits in different sex and ethnicity through two independent cohorts. Acetylglycine, the top distinguished finding, was validated for its obesity resistance effect through in vivo studies of various diet-induced obese (DIO) mice. Eighteen metabolites and fourteen pathways were discovered to be associated with BF phenotypes. Six of the metabolites were validated in varying sex and ethnicity. The obesity-resistant effects of acetylglycine were observed to be highly robust and generalizable in both human and DIO mice. These findings demonstrate the importance of metabolites associated with BF distribution patterns and several biological pathways that may contribute to obesity and obesity-related disease etiology, prevention, and intervention. Acetylglycine is highlighted as a potential therapeutic candidate for preventing excessive adiposity in future studies.

Imaging-based body fat depots and new-onset atrial fibrillation in general population: a prospective cohort study

BackgroundObesity is a well-established risk factor for atrial fibrillation (AF). Whether body fat depots differentially associate with AF development remains unknown.MethodsIn the prospective population-based Rotterdam Study, body composition was assessed using dual-energy X-ray absorptiometry (DXA) and liver and epicardial fat using computed tomography (CT). A body composition score was constructed by adding tertile scores of each fat depot. Principal component analysis was conducted to identify potential body fat distribution patterns. Cox proportional hazards regression was used to calculate hazard ratios and 95% confidence intervals (HR; 95% CI) per 1-standard deviation increase in corresponding fat depots to enable comparisons.ResultsOver a median follow-up of 9.6 and 8.6 years, 395 (11.4%) and 172 (8.0%) AF cases were ascertained in the DXA and the CT analyses, respectively. After adjustments for cardiovascular risk factors, absolute fat mass (HR; 95% CI 1.33; 1.05–1.68), gynoid fat mass (HR; 95% CI 1.36; 1.12–1.65), epicardial fat mass (HR; 95% CI 1.27; 1.09-1.48), and android-to-gynoid fat ratio (HR; 95% CI 0.81; 0.70-0.94) were independently associated with new-onset AF. After further adjustment for lean mass, associations between fat mass (HR; 95% CI 1.17; 1.04-1.32), gynoid fat mass (HR; 95% CI 1.21; 1.08–1.37), and android-to-gynoid fat ratio (HR; 95% CI 0.84; 0.72–0.97) remained statistically significant. Larger body fat score was associated with a higher AF risk (HR; 95% CI 1.10; 1.02–1.20). Borderline significant association was found between a subcutaneous fat predominant pattern with AF onset (HR; 95% CI 1.21; 0.98–1.49).ConclusionsVarious body fat depots were associated with new-onset AF. Total fat mass and gynoid fat mass were independently associated with AF after adjustment for body size. The inverse association between android-to-gynoid fat ratio with AF presents a novel finding. A significant dose-response relationship between body fat accumulation and AF was observed. Our results underscore the predominant role of subcutaneous fat on AF development among a middle-aged and elderly population.Graphical abstractAssociations betw2een body fat depots, fat distribution and new-onset atrial fibrillation. Abbreviations: AF, atrial fibrillation.

Adiposity: Determinant of Peak Expiratory Flow Rate in Young Indian Adults Male

Although several factors such as respiratory muscle strength, lung compliance, resistance to airflow, and even obesity affect the lung functions, the nature of relationship with markers of adiposity is not clear. We hypothesised that central pattern of fat distribution is a significant predictor of decreased peak expiratory flow rate (PEFR). The present study was designed with the aim to examine the effects of adiposity on PEFR in males. One hundred young healthy male volunteers were analysed in the study. They were classified into non-obese, and obese groups based on body mass index (BMI) (obese > or = 30 Kg/m2 and non-obese < 30 Kg/m2). The PEFR was measured by using Wright's peak flow meter. Data was analysed using unpaired 't' test for statistical significance of differences between the non-obese and the obese, stratified into age groups of 20 to 30 years and 30 to 40 years. A partial correlation adjusted to age, height and BMI followed by regression analysis was conducted using adiposity markers as a predictor of PEFR. The model adjusted to age, height, weight and BMI revealed waist hip ratio (WHR) as the only parameter which shows significant variance in PEFR with a Pearson's r=-0.59, F (1, 100)=12.23, p=0.04. The resulting linear regression equation is y=-388.72xWHR+850.68. Our findings suggest that obesity itself and especially the pattern of body fat distribution have independent effects on PEFR. These results suggest that abdominal adiposity, measured as WHR, is a better predictor of expiratory flow than weight or BMI.

Gender differences in cardiometabolic health and disease in a cross-sectional observational obesity study

BackgroundBeyond the degree of adiposity, the pattern of fat distribution has a profound influence on cardiometabolic risk. It is unclear if sex differences in body fat distribution can potentially explain any sex differences in the prevalence of the metabolic syndrome (MetS) and in individual cardiometabolic risk factors among obese men and women.MethodsIn this cross-sectional analysis, 432 persons from the ongoing Obesity Weight Reduction Study (n = 356 obese, ØBMI 41 ± 8 kg/m2, and 76 non-obese, ØBMI 25 ± 3 kg/m2), were included. The relations of sex to MetS prevalence and selected cardiometabolic risk factors were assessed using univariate and multivariate adjusted regression models.ResultsIn crude analyses, %fat mass and the fat mass/lean mass ratio were significantly higher in women than in men, regardless of increasing obesity categories, from normal weight to grade-3-obesity. In contrast, markers of abdominal obesity, such as waist circumference and waist-to-hip ratio were higher in men than in women, despite similar BMI. The prevalence of the MetS was higher in obese men than in women (67.6 vs. 45.0%, p < 0.0001), particularly in younger individuals < 40 years (72.5 vs. 36.8%, p < 0.0001), but “metabolically healthy obesity” (BMI ≥ 30, no other NCEP ATPIII MetS component) was more common in women than in men (15.6 vs. 4.1%, p < 0.0001). After adjusting for age, %body fat and height, sex differences were observed for HDL-cholesterol (p < 0.001), triglycerides (p < 0.001), fasting glucose (p = 0.002), insulin and HOMA-IR levels (p < 0.001), ALAT (p < 0.001), adiponectin (p < 0.001), and sE-selectin (p = 0.005). In contrast, crude sex differences in other variables, such as leptin levels (68 ± 4 in obese women vs. 33 ± 2 µg/L in men, p < 0.0001), disappeared after accounting for differences in %body fat (least-squares means of leptin: 52 ± 4 vs. 55 ± 6 µg /L, p = 0.740). A logistic regression model adjusting for age and lifestyle factors revealed a lower risk of having MetS for women as compared to men (OR = 0.38[0.22–0.60]). That risk estimate did not materially alter after adding BMI to the model. In contrast, no statistically significant association between sex and MetS prevalence was observed after adding waist circumference and adiponectin to the model (OR = 1.41[0.59–3.36]).ConclusionsDifferent body fat distribution patterns, particularly abdominal adiposity, adiponectin, and related biomarkers, may contribute to sex differences in cardiometabolic risk factors and to the prevalence of the MetS.

Detection of diabetes from whole-body MRI using deep learning.

Obesity is one of the main drivers of type 2 diabetes, but it is not uniformly associated with the disease. The location of fat accumulation is critical for metabolic health. Specific patterns of body fat distribution, such as visceral fat, are closely related to insulin resistance. There might be further, hitherto unknown, features of body fat distribution that could additionally contribute to the disease. We used machine learning with dense convolutional neural networks to detect diabetes-related variables from 2371 T1-weighted whole-body MRI data sets. MRI was performed in participants undergoing metabolic screening with oral glucose tolerance tests. Models were trained for sex, age, BMI, insulin sensitivity, HbA1c, and prediabetes or incident diabetes. The results were compared with those of conventional models. The area under the receiver operating characteristic curve was 87% for the type 2 diabetes discrimination and 68% for prediabetes, both superior to conventional models. Mean absolute regression errors were comparable to those of conventional models. Heatmaps showed that lower visceral abdominal regions were critical in diabetes classification. Subphenotyping revealed a group with high future diabetes and microalbuminuria risk.Our results show that diabetes is detectable from whole-body MRI without additional data. Our technique of heatmap visualization identifies plausible anatomical regions and highlights the leading role of fat accumulation in the lower abdomen in diabetes pathogenesis.

Imaging-based body fat depots and new-onset atrial fibrillation in general population

Abstract Background Obesity is a well-established risk factor for incident atrial fibrillation (AF). Whether different body fat depots differentially associate with AF development remains largely unknown. Purpose We aimed to investigate the associations between various body fat depots and the risk of new-onset AF among middle-aged and elderly individuals from general population. Methods In the prospective population-based cohort study, body composition was assessed using dual-energy X-ray absorptiometry (DXA) and total body mass, lean mass, fat mass, android and gynoid fat were analyzed (N=3468). Liver fat and epicardial fat were assessed using computed tomography (CT) (N=2145). A body fat score was defined by adding tertiles of each fat depot. All participants were followed for the occurrence of AF until 1st Jan. 2014. Principle component analysis was conducted to identify body fat distribution patterns. Time-to-event analyses were performed using Cox proportional hazards regression analysis. Hazard ratios (HR) and 95% confidence-intervals (95% CI), adjusted for cardiovascular risk factors, were calculated. Results Mean (standard deviation) of age for participants in DXA study and CT study was 74.42 (6.85) and 68.66 (6.41) years, respectively. AF incidence rate was 13.1 per 1000 person-years during a median follow-up time of 9.62 years. In the adjusted model, fat mass (HR; 95% CI: 1.33; 1.05–1.68), lean mass (1.40; 1.15–1.72), gynoid fat mass (1.36; 1.12–1.65), and total body mass (1.51; 1.21–1.89) were significantly associated with new-onset AF. Of note, android-to-gynoid fat ratio was inversely associated with incident AF (HR; 95% CI: 0.81; 0.70–0.94). Larger body fat score was associated with increased risk of incident AF (P for trend &amp;lt;0.01). Two fat distribution patterns were identified. Adherence to the fat- and gynoid fat- pattern (P for trend = 0.035), but not muscle- and visceral fat- pattern (P for trend = 0.35), was significantly associated with larger risk of new-onset AF. Conclusions Various body fat depots were associated with new-onset AF. Larger values of total body mass carried the highest risk for incident AF. The inverse association between android to gynoid fat ratio with AF presents a novel finding. A significant dose-response relationship between body fat accumulation and risk of new-onset AF was observed, implying a collective impact of fat depots on AF development. Findings also suggest that various fat depots, characterized by different fat distribution patterns, may exert differential combined effect on the risk of incident AF. Funding Acknowledgement Type of funding sources: None. Fat depots and atrial fibrillation

Longitudinal associations of total and trunk fat in childhood and adolescence and risk of hepatic steatosis at 24 years.

The importance of body fat distribution in the development of nonalcoholic fatty liver disease (NAFLD) is unclear. To examine whether total and truncal fat deposition patterns in childhood/adolescence are associated with NAFLD risk at 24 years. Data were from 1657 participants in the Avon Longitudinal Study of Parents and Children. Transient elastography was used to assess hepatic steatosis (low/moderate/severe) at 24 years and dual-energy X-ray absorptiometry was used to assess total body fat percent (TBF%) and trunk fat percent (TrF%) at 9, 13, 15, 17, and/or 24 years. Linear mixed models were constructed with quadratic age to examine trajectories of TBF% and TrF% by steatosis at 24 years, adjusting for confounders. In both sexes, TBF% trajectories from 9 to 24 years followed a similar pattern based on steatosis group (P = .83 for boys and P = .14 for girls for age2 *steatosis fixed effect). However, at all ages TBF% was higher for moderate/severe vs low steatosis at 24 years (P < .05). In contrast, TrF% trajectories diverged based on steatosis group (P = .001 for boys and P = .0002 for girls for age2 *steatosis fixed effect), such that, in both sexes, participants with moderate/severe steatosis at 24 yrs exhibited less decline in TrF% from adolescence to adulthood compared to participants with low steatosis at 24 yrs. Similar to TBF%, TrF% was higher at nearly all ages for moderate/severe vs low steatosis. Results were similar after adjusting for BMI category at each age, except in boys some differences for TrF% were attenuated. These findings suggest that sex-specific body fat distribution patterns in childhood/adolescence may help to identify those at risk of developing NAFLD in adulthood.

Type 2 Diabetes Is Causally Associated With Reduced Serum Osteocalcin: A Genomewide Association and Mendelian Randomization Study.

Recent advances indicate that bone and energy metabolism are closely related. However, little direct evidence on causality has been provided in humans. We aimed to assess the association of three bone-related biomarkers-25 hydroxyvitamin D (25OHD), parathyroid hormone (PTH), and osteocalcin (OCN)-with several metabolic phenotypes and investigate any causal relevance to the associations using a Mendelian randomization (MR) study. Serum 25OHD, PTH, and total OCN were measured at baseline in 5169 eligible Chinese participants in Changfeng study. Partial correlation and bivariate GREML analysis were used to estimate phenotypic and genetic correlations, respectively. Multiple linear regression and logistic regression were used to assess linear associations. Genomewide association analysis (GWAS) was performed. Bidirectional two-sample MR analyses were conducted to examine causal relationships between OCN and body mass index (BMI), diastolic blood pressure (DBP), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), glycated hemoglobin A1c (HbA1c), and type 2 diabetes (T2DM), using our GWAS result of OCN and GWAS statistics from Biobank Japan project (BBJ) and the largest meta-analysis of T2DM GWAS in East Asian population. Circulating OCN was significantly associated with higher DBP and HDL-C and decreased TG, blood glucose level, insulin resistance, liver fat content, bone mineral density, BMI, and a favorable body fat distribution pattern. GWAS identified one novel serum PTH locus and two novel serum OCN loci, explaining 0.81% and 1.98% of variances of PTH and OCN levels, respectively. MR analysis suggested a causal effect of T2DM on lower circulating OCN concentration (causal effect: -0.03; -0.05 to -0.01; p=0.006 for T2DM_BBJ and -0.03; -0.05 to -0.01; p=0.001 for T2DM_EAS). These findings indicate that T2DM might impact bone remodeling and provide a resource for understanding complex relationships between osteocalcin and metabolic (and related) traits in humans. © 2021 American Society for Bone and Mineral Research (ASBMR).

Reference centiles for evaluating total body fat development and fat distribution by dual-energy x-ray absorptiometry among children and adolescents aged 3–18 years

The rise in the prevalence of childhood obesity has increased the demand for accurately evaluating body fatness in pediatric population. The aim of this study was to provide a series of sex- and age-specific body fat reference centiles for evaluating total body fat development and fat distribution in Chinese children and adolescents using dual-energy x-ray absorptiometry (DXA). A nationwide sample of Chinese children and adolescents aged 3-18 years (n=12,790) was drawn from a cross-sectional survey of the China Child and Adolescent Cardiovascular Health study (2013-2019). Fat measurements, including total fat mass index (FMI), total body fat percentage (BF%), regional FMI, trunk to leg (T/L) fat ratio and android to gynoid (A/G) fat ratio, were derived from whole body DXA scans. Sex- and age-specific centiles were estimated using the lambda-mu-sigma method and then compared with values derived from the US National Health and Nutrition Examination Survey (1999-2004) and Korean National Health and Nutrition Examination Survey (2008-2011). During early childhood, almost all body fat parameters decreased with age, except an increase in A/G ratio. After 7 years onward, drastic upward trends of total FMI and BF% were exhibited in boys till 10 years, followed by opposite downward trends during 11-14 years; while sustained increase of FMI was shown in girls across ages accompanied by relatively constant BF% levels. Meanwhile, steady increases were noticed for A/G ratio and T/L ratio, which were more pronounced in boys. In addition, the proposed body fat references were much lower than the US but similar to Koreans despite of subtle differences. This is the first study to present a set of DXA-based body fat reference for Chinese children and adolescents aged 3-18 years. The new reference provides clinicians and researchers a useful tool for assessing body fat development and distribution patterns throughout early childhood and adolescence.

Association of Menopausal Symptoms with Body Composition Pattern and Body Mass Index Across Menopausal Age Among Mongolian Women

Objectives: To investigate the correlation of body fat distribution pattern and body mass index (BMI) on the prevalence and clinical manifestation of menopausal symptoms across the menopausal stage among Mongolian women. Methods: A survey was conducted amongst a total of 1084 women aged 40-65 years Ulaanbaatar city and selected provinces representing five main remote regions of Mongolia. A questionnaire was used to collect demographic and socioeconomic data. Menopause related characteristics were evaluated using the Menopause-specific Quality of Life (MENQOL) questionnaire. Further, measurements were recorded to determine waist-to-hip-ratio and body mass index (BMI). Pearson's Chi-Square test was used to correlate. Results: Using the waist-to-hip-ratio, 84.4% of participants had the android type, and 15.6% were of the gynoid type. As for BMI, 38.4% were overweight, and 28.8% were obese. In multiple regression analysis, BMI had significant relationships with psychosocial and sexual problems (p&lt;0.05). Moreover, BMI and menopause status were independent risk factors for the development of cardiovascular disease. Postmenopausal obese and overweight women were 1.6 times more likely to have cardiovascular disease than women in the perimenopausal status (p&lt;0.05). Conclusions: Overweight and obese perimenopausal women have a lower quality of life due to the prevalence of sexual and psychosocial symptoms. Obese postmenopausal Mongolian women are at significantly higher risk of developing cardiovascular disease.

102-OR: Detection of Diabetes from Whole-Body Magnetic Resonance Imaging Using Deep Learning

Obesity is one of the main drivers of the globally rising prevalence of type 2 diabetes (T2D). Yet, obesity is not uniformly associated with metabolic consequences. The location of fat accumulation is critical for metabolic health. Specific patterns of body fat distribution, such as an increased ratio of visceral to subcutaneous fat, are closely related to insulin resistance which is crucial in the pathogenesis of T2D. There might be further, hitherto unknown features of body fat distribution which could additionally contribute to the disease. We used a machine learning approach with dense convolutional neural networks (DCNN) to detect diabetes related variables from 2371 T1-weighted whole-body magnetic resonance image (MRI) data sets. Each single measurement was labelled by sex, age, BMI, insulin sensitivity, HbA1c and prediabetes or incident diabetes. The result was compared to conventional models using segmented body fat compartment volumes. Anatomical labels were assigned to locations in the DCNN gradient heatmaps that are critical for discrimination. The AUC-ROC was 0.87 for the discrimination of diabetes and 0.68 for prediabetes. Classification performance was superior to conventional models. Mean absolute regression errors were comparable to those of the conventional models. Heatmaps clearly showed that lower visceral abdominal regions were most critical in diabetes classification, while other significant areas comprised upper legs, arms and the neck region.Our results show that diabetes is detectable from whole-body MRI without any blood glucose measurement. Our technique of heatmap visualization unravels plausible anatomical regions and highlights the leading role of fat accumulation in the lower abdomen in the pathogenesis of T2D. Disclosure R. Wagner: Advisory Panel; Self; Novo Nordisk A/S. Speaker’s Bureau; Self; Novo Nordisk A/S. Other Relationship; Self; Eli Lilly and Company. B. Dietz: None. J. Machann: None. P. Schwab: Employee; Self; Roche Pharma. J.K. Dienes: Advisory Panel; Spouse/Partner; Novo Nordisk A/S. Speaker’s Bureau; Spouse/Partner; Novo Nordisk A/S. Other Relationship; Spouse/Partner; Eli Lilly and Company. S. Reichert: Other Relationship; Self; Lilly Diabetes. A.L. Birkenfeld: None. H. Haering: None. F. Schick: None. N. Stefan: None. M. Heni: Research Support; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Sanofi. Speaker’s Bureau; Self; Novo Nordisk A/S. H. Preissl: None. B. Schölkopf: None. S. Bauer: None. A. Fritsche: None. Funding German Federal Ministry of Education and Research (01GI0925)

Association of Dyslipidemia and Obesity in Postmenopausal Bangladeshi Women

Objectives: Menopause is a natural process. After menopause the morbidity and mortality from cardiovascular disease in women is increased due to lack of oestrogen protection, aging effect, increased body weight, android pattern of body fat distribution, changes in metabolism and lipid profile.1,2 So the present study is aimed at measuring the serum lipid profile and BMI in postmenopausal women of Bangladesh, thus detecting dyslipidemia and obesity to ascertain the relative risk of developing cardiovascular disease in this group.&#x0D; Methods: A cross-sectional study was conducted at the Obst and Gynae Department of Green life Medical College Hospital among 150 otherwise healthy postmenopausal women from October 2017 to April 2018. Fasting blood obtained for testing lipid profile. Serum total cholesterol, triglycerides and high-density lipoprotein (HDL) cholesterol were measured using enzymatic procedures. Low-density lipoprotein (LDL) cholesterol concentration was estimated by Friedewald formula. Questionnaire-cum interview method was used to obtain relevant informations. BMI was calculated from weight in kg and height in cm by Metric BMI calculator. Dyslipidemia was identified based on serum lipid levels following the standard protocol proposed by the national guidelines.&#x0D; Result: A total of 150 participants aged between 43 years to 70 years, were included in this study. Average age of the study subjects were 53.53±3.2 years. A mean duration of menopause was 7.23±0.92 years. The range BMI level was 19.1 to 36.6. Among them BMI &lt;24.9 , was found in 28.30% of women, BMI 25 to 29.9 was found in 49.5 % women and 22.23 % women had BMI of &gt;30. According to standard guideline BMI &lt;24.9 is considered normal, 25-29.9 is overweight and BMI more than 30 is obese. In this study among normal BMI group 59.4% had normal lipid profile and 29.7% had isolated hypertriglyceridemia and mixed dyslipidemia in 10.9% patients. In the group with BMI 25 to 29.9 (overweight) normal lipid level was in 52.3% women, isolated hypertriglyceridemia found in 17.6% women and dyslipidaemia was in 30.1% women. In the group with BMI &gt;30 (obese) normal lipid level was in 5.8% of the women, isolated hypertriglyceridemia found in 29.4% women and dyslipidaemia was in 64.8% women. HDL-C level was low in 83.3% women of &gt;30 BMI group and normal in 66.67% women of normal BMI group.&#x0D; Conclusion: The prevalence of dyslipidemia, based primarily on the high cholesterol level and high LDL was observed among the overweight and obese group of study population. Therefore, it can be concluded that menopause leads to changes in lipid profile by increasing total and LDL cholesterol and by reducing HDL cholesterol which indicates menopause may be an additional risk factor for dyslipidemia causing cardiovascular disease in Bangladeshi women.&#x0D; Bangladesh J Obstet Gynaecol, 2020; Vol. 35(1): 20-24

Modelling the Impact of Chronic Cigarette Smoke Exposure in Obese Mice: Metabolic, Pulmonary, Intestinal, and Cardiac Issues.

Unhealthy lifestyle choices, such as bad eating behaviors and cigarette smoking, have major detrimental impacts on health. However, the inter-relations between obesity and smoking are still not fully understood. We thus developed an experimental model of high-fat diet-fed obese C57BL/6 male mice chronically exposed to cigarette smoke. Our study evaluated for the first time the resulting effects of the combined exposure to unhealthy diet and cigarette smoke on several metabolic, pulmonary, intestinal, and cardiac parameters. We showed that the chronic exposure to cigarette smoke modified the pattern of body fat distribution in favor of the visceral depots in obese mice, impaired the respiratory function, triggered pulmonary inflammation and emphysema, and was associated with gut microbiota dysbiosis, cardiac hypertrophy and myocardial fibrosis.