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Adipose Insulin Resistance and Decreased Adiponectin Are Correlated With Metabolic Abnormalities in Nonobese Men.
Kiya, M, Tamura, Y, Takeno, K, Someya, Y, Kakehi, S, Sato, M, Yamasaki, N, Kadowaki, S, Suzuki, R, Furukawa, Y, et al
The Journal of clinical endocrinology and metabolism. 2021;(5):e2228-e2238
Abstract
CONTEXT Adipose tissue dysfunction is characterized by decreased adiponectin (AN) levels and impaired adipose tissue insulin sensitivity (ATIS) and is associated with metabolic disorders. While Asians readily develop metabolic disease without obesity, it remains unclear how decreased AN level and impaired ATIS affect metabolic abnormalities in nonobese Asians. DESIGN AND SETTING To investigate the relationships between decreased AN level, impaired ATIS, and metabolic abnormalities, we studied 94 Japanese men whose body mass index was less than 25 kg/m2. We divided the subjects into 4 groups based on their median AN level and ATIS, the latter calculated as the degree of insulin-mediated suppression of free fatty acids during hyperinsulinemic euglycemic clamp, and compared the metabolic parameters in the 4 groups. RESULTS The High-ATIS/High-AN group (n = 29) showed similar anthropometric data to the High-ATIS/Low-AN group (n = 18). In contrast, both the Low-ATIS/High-AN (n = 18) and Low-ATIS/Low-AN (n = 29) groups showed significantly lower muscle insulin sensitivity than the High-ATIS groups. The intrahepatic lipid level in the Low-ATIS/Low-AN group was significantly higher than that in the High-ATIS groups. In addition, the Low-ATIS/Low-AN group had a significantly higher fasting serum triglyceride level and significantly lower high-density lipoprotein cholesterol level than the other 3 groups. CONCLUSIONS In nonobese Japanese men with high ATIS, the AN level was not associated with metabolic characteristics. On the other hand, subjects with low ATIS showed reduced muscle insulin sensitivity, and those with a decreased AN level demonstrated multiple metabolic abnormalities, represented by fatty liver and dyslipidemia.
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Epicardial adipose tissue volume and myocardial ischemia in asymptomatic people living with diabetes: a cross-sectional study.
Cosson, E, Nguyen, MT, Rezgani, I, Berkane, N, Pinto, S, Bihan, H, Tatulashvili, S, Taher, M, Sal, M, Soussan, M, et al
Cardiovascular diabetology. 2021;(1):224
Abstract
BACKGROUND Epicardial adipose tissue (EAT) is considered a novel diagnostic marker for cardiometabolic disease. This study aimed to evaluate whether EAT volume was associated with stress-induced myocardial ischemia in asymptomatic people living with diabetes-independently of confounding factors-and whether it could predict this condition. METHODS We included asymptomatic patients with diabetes and no coronary history, who had undergone both a stress a myocardial scintigraphy to diagnose myocardial ischemia, and a computed tomography to measure their coronary artery calcium (CAC) score. EAT volume was retrospectively measured from computed tomography imaging. Determinants of EAT volume and asymptomatic myocardial ischemia were evaluated. RESULTS The study population comprised 274 individuals, including 153 men. Mean (± standard deviation) age was 62 ± 9 years, and 243, 23 and 8 had type 2, type 1, or another type of diabetes, respectively. Mean body mass index was 30 ± 6 kg/m2, and mean EAT volume 96 ± 36 cm3. Myocardial ischemia was detected in 32 patients (11.7%). EAT volume was positively correlated with age, body mass index and triglyceridemia, but negatively correlated with HbA1c, HDL- and LDL-cholesterol levels. Furthermore, EAT volume was lower in people with retinopathy, but higher in men, in current smokers, in patients with nephropathy, those with a CAC score > 100 Agatston units, and finally in individuals with myocardial ischemia (110 ± 37 cm3 vs 94 ± 37 cm3 in those without myocardial ischemia, p < 0.05). The association between EAT volume and myocardial ischemia remained significant after adjustment for gender, diabetes duration, peripheral macrovascular disease and CAC score. We also found that area under the ROC curve analysis showed that EAT volume (AROC: 0.771 [95% confidence interval 0.683-0.858]) did not provide improved discrimination of myocardial ischemia over the following classic factors: gender, diabetes duration, peripheral macrovascular disease, retinopathy, nephropathy, smoking, atherogenic dyslipidemia, and CAC score (AROC 0.773 [0.683-0.862]). CONCLUSIONS EAT may play a role in coronary atherosclerosis and coronary circulation in patients with diabetes. However, considering EAT volume is not a better marker for discriminating the risk of asymptomatic myocardial ischemia than classic clinical data.
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Interaction of genetic and environmental factors for body fat mass control: observational study for lifestyle modification and genotyping.
Kang, JH, Kim, H, Kim, J, Seo, JH, Cha, S, Oh, H, Kim, K, Park, SJ, Kim, E, Kong, S, et al
Scientific reports. 2021;(1):13180
Abstract
Previous studies suggested that genetic, environmental factors and their interactions could affect body fat mass (BFM). However, studies describing these effects were performed at a single time point in a population. In this study, we investigated the interaction between genetic and environmental factors in affecting BFM and implicate the healthcare utilization of lifestyle modifications from a personalized and genomic perspective. We examined how nutritional intake or physical activity changes in the individuals affect BFM concerning the genetic composition. We conducted an observational study including 259 adult participants with single nucleotide polymorphism (SNP) genotyping and longitudinal lifestyle monitoring, including food consumption and physical activities, by following lifestyle modification guidance. The participants' lifelog data on exercise and diet were collected through a wearable device for 3 months. Moreover, we measured anthropometric and serologic markers to monitor their potential changes through lifestyle modification. We examined the influence of genetic composition on body fat reduction induced by lifestyle changes using genetic risk scores (GRSs) of three phenotypes: GRS-carbohydrate (GRS-C), GRS-fat (GRS-F), and GRS-exercise (GRS-E). Our results showed that lifestyle modifications affected BFM more significantly in the high GRS class compared to the low GRS class, indicating the role of genetic factors affecting the efficiency of the lifestyle modification-induced BFM changes. Interestingly, the influence of exercise modification in the low GRS class with active lifestyle change was lower than that in the high GRS class with inactive lifestyle change (P = 0.022), suggesting the implication of genetic factors for efficient body fat control.
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B-vitamins and body composition: integrating observational and experimental evidence from the B-PROOF study.
Oliai Araghi, S, Braun, KVE, van der Velde, N, van Dijk, SC, van Schoor, NM, Zillikens, MC, de Groot, LCPGM, Uitterlinden, AG, Stricker, BH, Voortman, T, et al
European journal of nutrition. 2020;(3):1253-1262
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Abstract
PURPOSE Higher folate and vitamin-B12 have been linked to lower risk of overweight. However, whether this is a causal effect of these B-vitamins on obesity risk remains unclear and evidence in older individuals is scarce. This study aimed to assess the role of B-vitamin supplementation and levels on body composition in older individuals. METHODS A double-blind, randomized controlled trial in 2919 participants aged ≥ 65 years with elevated homocysteine levels. The intervention comprised a 2-year supplementation with a combination of folic acid (400 µg) and vitamin B12 (500 µg), or with placebo. Serum folate, vitamin-B12, active vitamin-B12 (HoloTC), methylmalonic acid (MMA), and anthropometrics were measured at baseline and after 2 years of follow-up. Dietary intake of folate and vitamin-B12 was measured at baseline in a subsample (n = 603) using a validated food-frequency questionnaire. Fat mass index (FMI) and fat-free mass index (FFMI) were assessed with Dual Energy X-ray absorptiometry (DXA). RESULTS Cross-sectional analyses showed that a 1 nmol/L higher serum folate was associated with a 0.021 kg/m2 lower BMI (95% CI - 0.039; - 0.004). Higher HoloTC (per pmol/L log-transformed) was associated with a 0.955 kg/m2 higher FMI (95% CI 0.262; 1.647), and higher MMA (per μgmol/L) was associated with a 1.108 kg/m2 lower FMI (95% CI - 1.899; - 0.316). However, random allocation of B-vitamins did not have a significant effect on changes in BMI, FMI or FFMI during 2 years of intervention. CONCLUSIONS Although observational data suggested that folate and vitamin B12 status are associated with body composition, random allocation of a supplement with both B-vitamins combined versus placebo did not confirm an effect on BMI or body composition.
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Effects of atazanavir, darunavir, and raltegravir on fat and muscle among persons living with HIV.
Adrian, S, Miao, H, Feng, H, Scherzinger, A, Nardini, G, Beghetto, B, Roncaglia, E, Ligabue, G, Milic, J, Guaraldi, G, et al
HIV research & clinical practice. 2020;(4):91-98
Abstract
BACKGROUND Antiretroviral therapy (ART) is associated with gain in quantity of fat and muscle, but the impact on quality is less understood. The objective of this study was to compare fat and muscle density among people with HIV (PWH) on stable raltegravir (RAL), atazanavir with ritonavir (ATV/r), or darunavir with ritonavir (DRV/r), and explore implications on muscle function. METHODS Participants from the Modena HIV Metabolic Clinic taking RAL, ATV/r, or DRV/r with at least 1 computed tomography (CT) scan were included. CT scans were reanalyzed for area and density of truncal fat and musculature. Multivariate models explored the effect of ART on fat and muscle density. RESULTS One hundred six participants were receiving ATV/r, 48 DRV/r, and 141 RAL. In multivariate models (reference ATV/r), only DRV/r was associated with greater subcutaneous (SAT) and visceral adipose tissue (VAT) area, lower lateralis muscle density (more fat), and greater lateralis intermuscular fat area. Compared to ATV/r, RAL was independently associated with less psoas intermuscular fat area. Among all, greater paraspinal muscle density correlated with better physical function. No associations between ART group and physical function were seen among men; DRV/r was associated with stronger grip strength among women. CONCLUSION DRV/r was associated with greater fat area and lower density of both fat and muscle, and RAL with less intermuscular psoas fat. Higher density psoas and paraspinal musculature were associated with better physical function, suggesting potential clinical relevance of these findings.
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Epicardial adipose tissue thickness and type 2 diabetes risk according to the FINDRISC modified for Latin America.
Lima-Martínez, MM, Colmenares, L, Campanelli, Y, Paoli, M, Rodney, M, Santos, RD, Iacobellis, G
Clinica e investigacion en arteriosclerosis : publicacion oficial de la Sociedad Espanola de Arteriosclerosis. 2019;(1):15-22
Abstract
BACKGROUND The Finnish Diabetes Risk Score (FINDRISC) is a tool to predict 10-year risk of type 2 diabetes mellitus (T2DM), and visceral adiposity is associated with higher cardio-metabolic risk. The objective of the study was to assess the relationship of epicardial adipose tissue (EAT) thickness with T2DM risk according to the FINDRISC tool. METHODS The study was conducted in Ciudad Bolívar, Venezuela, and included 55 subjects of whom 37 (67.3%) were women and 18 (32.7%) men with ages between 18 and 75 years. A record was made of weight, height, body mass index (BMI), waist circumference (WC), fasting glucose, baseline insulin, plasma lipids, Homeostasis Model Assessment-Insulin Resistance (HOMA-IR), and EAT thickness. The FINDRISC tool, with WC cut-off points modified for Latin America (LA-FINDRISC) was used. RESULTS BMI, WC, plasma insulin concentration, HOMA-IR index, and EAT thickness were higher (P<0.0001) in the high-risk group compared to subjects in the low-moderate risk group according to the LA-FINDRISC. LA-FINDRISC was positively correlated with BMI (r=0.513; P=0.0001), WC (r=0.524; P=0.0001), fasting blood glucose (r=0.396; P=0.003); baseline plasma insulin (r=0.483; P=0.0001); HOMA-IR index (r=0.545; P=.0.0001); and EAT thickness (r=0.702; P=0.0001). The multivariate regression analysis showed that fasting blood glucose (P=0.023) and EAT thickness (P=0.007) remained independently associated with high T2DM risk. CONCLUSIONS LA-FINDRISC was associated with EAT thickness and insulin resistance markers. Both were independently and directly associated with high risk for diabetes in the LA-FINDRISC category.
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Development of a bedside-applicable ultrasound protocol to estimate fat mass index derived from whole body dual-energy x-ray absorptiometry scans.
Paris, MT, Mourtzakis, M
Nutrition (Burbank, Los Angeles County, Calif.). 2019;:225-230
Abstract
OBJECTIVES Precise measures of adiposity are difficult to obtain in clinical settings due to a lack of access to accurate and reliable techniques. The aim of this study was to develop and internally validate a bedside-applicable ultrasound protocol to estimate fat mass index. METHODS We conducted an observational cross-sectional study of 94 university and community dwelling adults who attended a single data-collection session. Adipose tissue thickness was quantified in a supine or prone position using the four-site protocol (images two anterior sites on each thigh) and the nine-site protocol (images nine anterior and posterior sites). Adipose tissue thicknesses from the four-site protocol were compared against the fat mass index that was derived from dual-energy x-ray absorptiometry scans. Subsequently, we optimized the accuracy of the four-site protocol with the addition of bedside-accessible adipose tissue thicknesses from the nine-site protocol and easily obtained covariates. RESULTS The four-site protocol was strongly associated (R2 = 0.65) with fat mass index but wide limits of agreement (-3.53 kg/m2 and 3.50 kg/m2) were observed using the Bland-Altman analysis. With the addition of the anterior upper arm and abdomen adipose tissue thicknesses as well as the covariates age, sex, and body mass index, the model accuracy improved (R2 = 0.93) and the Bland-Altman analysis displayed narrower limits of agreement (-1.57 kg/m2 and 1.60 kg/m2). CONCLUSIONS This optimized protocol developed can be applied bedside and provide accurate assessments of fat mass index.
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Body fat indicators perform better than body mass index in identifying abnormal lipid profiles in boys but not in girls.
Li, H, Huang, T, Liu, J, Yan, Y, Zhao, X, Xiao, P, Mi, J, ,
Pediatric research. 2019;(5):617-624
Abstract
BACKGROUND BMI as a body weight indicator, may inadequately represent the biological effect of body fat on lipid profiles. This study aims to assess whether body fat indicators were superior to BMI for recognizing children with dyslipidemia. METHODS A nationwide cross-sectional study involving 8944 pediatric participants aged 6-18 years. Measures of fat mass index (FMI), fat mass percentage (FMP), BMI, and four lipid profiles were obtained. RESULTS Among boys, the standard multi-linear regression coefficients of FMI for TC, LDL-C, and TG were higher than those of BMI (P < 0.01), but not for HDL-C. Also, the prevalence ratios and area under curves (AUCs) of excess fat classified by FMI for specific abnormal lipid profiles (except for HDL-C) were greater than overweight classified by BMI. The AUCs for detecting children with abnormal TC, LDL-C, and TG of FMI-based excess fat were 3.9%, 5.6%, and 2.8% higher than those of BMI-based overweight, respectively, all P < 0.01. Among girls, the associations of BMI with lipid profiles were substantially similar to FMI. All these results were almost identical when FMP was used instead of FMI. CONCLUSIONS DXA measured body fat performs better than BMI in identifying abnormal lipid profiles in boys but not in girls.
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Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies.
Ng, BK, Sommer, MJ, Wong, MC, Pagano, I, Nie, Y, Fan, B, Kennedy, S, Bourgeois, B, Kelly, N, Liu, YE, et al
The American journal of clinical nutrition. 2019;(6):1316-1326
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Abstract
BACKGROUND Three-dimensional optical (3DO) body scanning has been proposed for automatic anthropometry. However, conventional measurements fail to capture detailed body shape. More sophisticated shape features could better indicate health status. OBJECTIVES The objectives were to predict DXA total and regional body composition, serum lipid and diabetes markers, and functional strength from 3DO body scans using statistical shape modeling. METHODS Healthy adults underwent whole-body 3DO and DXA scans, blood tests, and strength assessments in the Shape Up! Adults cross-sectional observational study. Principal component analysis was performed on registered 3DO scans. Stepwise linear regressions were performed to estimate body composition, serum biomarkers, and strength using 3DO principal components (PCs). 3DO model accuracy was compared with simple anthropometric models and precision was compared with DXA. RESULTS This analysis included 407 subjects. Eleven PCs for each sex captured 95% of body shape variance. 3DO body composition accuracy to DXA was: fat mass R2 = 0.88 male, 0.93 female; visceral fat mass R2 = 0.67 male, 0.75 female. 3DO body fat test-retest precision was: root mean squared error = 0.81 kg male, 0.66 kg female. 3DO visceral fat was as precise (%CV = 7.4 for males, 6.8 for females) as DXA (%CV = 6.8 for males, 7.4 for females). Multiple 3DO PCs were significantly correlated with serum HDL cholesterol, triglycerides, glucose, insulin, and HOMA-IR, independent of simple anthropometrics. 3DO PCs improved prediction of isometric knee strength (combined model R2 = 0.67 male, 0.59 female; anthropometrics-only model R2 = 0.34 male, 0.24 female). CONCLUSIONS 3DO body shape PCs predict body composition with good accuracy and precision comparable to existing methods. 3DO PCs improve prediction of serum lipid and diabetes markers, and functional strength measurements. The safety and accessibility of 3DO scanning make it appropriate for monitoring individual body composition, and metabolic health and functional strength in epidemiological settings.This trial was registered at clinicaltrials.gov as NCT03637855.
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Epicardial Fat Volume Improves the Prediction of Obstructive Coronary Artery Disease Above Traditional Risk Factors and Coronary Calcium Score.
Zhou, J, Chen, Y, Zhang, Y, Wang, H, Tan, Y, Liu, Y, Huang, L, Zhang, H, Ma, Y, Cong, H
Circulation. Cardiovascular imaging. 2019;(1):e008002
Abstract
BACKGROUND Recent studies have demonstrated the tremendous potential of epicardial fat volume (EFV) to predict obstructive coronary artery disease. We aimed to develop a new model to estimate pretest probability of obstructive coronary artery disease using traditional risk factors with coronary calcium score and EFV and compare it with proposed models in Chinese patients who underwent coronary computed tomography angiography. METHODS The new models were derived from 5743 consecutive patients using multivariate logistic regression and validated in an internal cohort using invasive coronary angiography as the outcome and an external cohort with clinical outcome data. Hosmer-Lemeshow goodness-of-fit test, area under the receiver operating characteristic curve, integrated discrimination improvement and net reclassification improvement were calculated to validate and compare the performance of models. RESULTS EFV improved prediction above conventional risk factors and coronary calcium score (area under the receiver operating characteristic curve increased from 0.856 to 0.874, integrated discrimination improvement 0.0487, net reclassification improvement 0.1181, P<0.0001 for all). The final model included 5 predictors: age, sex, symptom, coronary calcium score, and EFV. Good internal validation and external validation of the new model were achieved, with positive net reclassification improvement and integrated discrimination improvement, excellent area under the receiver operating characteristic curve and favorable calibration. Further, the new model demonstrated a better prediction of clinical outcome, resulting in a more cost-effective risk stratification to optimize decision-making of downstream diagnosis and treatment. CONCLUSIONS Addition of EFV to conventional risk factors and coronary calcium score offered a more accurate and effective estimation for pretest probability of obstructive coronary artery disease, which may help to improve initial management of stable chest pain.