scholarly journals Associations of the BDNF Val66Met Polymorphism With Body Composition, Cardiometabolic Risk Factors, and Energy Intake in Youth With Obesity: Findings From the HEARTY Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Gary S. Goldfield ◽  
Jeremy Walsh ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Stasia Hadjiyannakis ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Intake ◽  
Metabolic Regulation ◽  
Fat Free Mass ◽  
C Reactive Protein ◽  
Metabolic Complications ◽  
Val66met Polymorphism ◽  
Reactive Protein ◽  
Bdnf Val66met Polymorphism ◽  
Cardiometabolic Profile

The brain-derived neurotrophic factor (BDNF) Val66Met polymorphism is functionally related to BDNF, and is associated with obesity and metabolic complications in adults, but limited research exists among adolescents. This study comparatively examined carriers and non-carriers of the BDNF Val66Met polymorphism on body composition, energy intake, and cardiometabolic profile among adolescents with obesity. The sample consisted of 187 adolescents with obesity; 99 were carriers of the homozygous Val (G/G) alleles and 88 were carriers of the Val/Met (G/A) or Met (A/A) alleles. Cardiometabolic profile and DNA were quantified from fasted blood samples. Body composition was assessed by magnetic resonance imaging (MRI). Compared to carriers of the homozygous Val (G/G) allele, carriers of the Val/Met (G/A) or Met/Met (A/A) variants exhibited significantly higher protein (p = 0.01) and fat (p = 0.05) intake, C-Reactive protein (p = 0.05), and a trend toward higher overall energy intake (p = 0.07), fat-free mass (p = 0.07), and lower HDL-C (p = 0.07) Results showed for the first time that among youth with obesity, carriers of the Val66Met BDNF Met-alleles exhibited significantly higher C-reactive protein and energy intake in the form of fat and protein compared to Val-allele carriers, thereby providing support for the possible role of BDNF in appetite, weight, and metabolic regulation during adolescence.Clinical Trial Registration:http://clinicaltrials.gov/, identifier NCT00195858.

scholarly journals The association of parameters of body composition and laboratory markers with the severity of hypertriglyceridemia-induced pancreatitis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Lifang Chen ◽  
Yingbao Huang ◽  
Huajun Yu ◽  
Kehua Pan ◽  
Zhao Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Adipose Tissue ◽  
Serum Albumin ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Apolipoprotein A ◽  
Laboratory Markers ◽  
Subcutaneous Adipose ◽  
Low Serum

AbstractBackgroundHypertriglyceridemia has arisen as the third leading cause of acute pancreatitis. This study aimed at exploring the association between the severity of hypertriglyceridemia-induced pancreatitis (HTGP) and computed tomography (CT)-based body composition parameters and laboratory markers.MethodsLaboratory and clinical parameters were collected from 242 patients with HTGP between 2017 and 2020. Severity of HTGP was evaluated by original or modified CT severity index. Body composition parameters such as area and radiodensity of muscle, subcutaneous adipose tissue and visceral adipose tissue were calculated by CT at the level of third lumbar vertebra. Parameters were compared between mild and moderately severe to severe HTGP. Uni-variate and multi-variate Logistic regression analyses were employed to assess the risk factors of the severity of HTGP.ResultsSeventy patients (28.9%) presented with mild HTGP. Body mass index, waist circumference and all CT-based body composition parameters differed between male and female patients. None was associated with the severity of HTGP, neither in males nor in females. Receiver operating characteristic curves showed that areas under the curves of apolipoprotein A-I and albumin to predict the severity of HTGP were 0.786 and 0.759, respectively (allP < 0.001). Uni-variate and further multi-variate Logistic regression analysis confirmed that low serum albumin (< 35 g/L,P = 0.004, OR = 3.362, 95%CI = 1.492–8.823) and apolipoprotein A-I (< 1.1 g/L,P < 0.001, OR = 5.126, 95%CI = 2.348–11.195), as well as high C-reactive protein (> 90 mg/L,P = 0.005, OR = 3.061, 95%CI = 1.407–6.659) and lipase (P = 0.033, OR = 2.283, 95%CI = 1.070–4.873) were risk factors of moderately severe to severe HTGP. Levels of albumin, apolipoprotein A-I, C-reactive protein and lipase were also associated with the length of hospital stay (allP < 0.05). Besides, low serum albumin, low-density lipoprotein cholesterol and high radiodensity of subcutaneous adipose tissue were significant risk factors of pancreatic necrosis in patients with HTGP (allP < 0.05).ConclusionsLow serum albumin and apolipoprotein A-I, and high C-reactive protein and lipase upon admission were associated with a more severe type of HTGP and longer hospital stay for these patients. Albumin and apolipoprotein A-I may serve as novel biomarkers for the severity of HTGP. However, none of the body composition parameters was associated with the severity of HTGP.

scholarly journals Endurance and resistance training lowers C-reactive protein in young, healthy females

2011 ◽  
Vol 36 (5) ◽  
pp. 660-670 ◽  
Author(s):  
Laura A. Daray ◽  
Tara M. Henagan ◽  
Michael Zanovec ◽  
Conrad P. Earnest ◽  
Lisa G. Johnson ◽  
...  
Keyword(s):  
Body Composition ◽  
Resistance Training ◽  
Body Fat ◽  
Aerobic Capacity ◽  
C Reactive Protein ◽  
Young Females ◽  
Marathon Training ◽  
Reactive Protein ◽  
Body Strength ◽  
Additional Resistance

The purpose of this study was to determine whether endurance (E) or endurance + resistance (ER) training affects C-reactive protein (CRP) and if these changes are related to alterations in fitness and (or) body composition in young females. Thirty-eight females (aged 18–24 years) were assigned to 1 of 3 groups: (1) E, (2) ER or (3) active control (AC). The E and ER groups completed 15 weeks of marathon training. The ER group performed additional resistance training and the AC group maintained their usual exercise routine. Primary outcomes were measured pre- and post-training and included anthropometric indices, dual-energy x-ray absorptiometry, plasma CRP, time to complete 1.5 miles (in minutes), and upper and lower body strength tests (i.e., 8 repetition max on bench and leg press (ER group only)). There were no differences in any variable among the groups at baseline. After training, the E group decreased time to complete 1.5 miles (p < 0.05). The AC group decreased percent and absolute body fat while the E group decreased percent body fat, absolute body fat, and android and gynoid body fat (p < 0.05). The ER group significantly improved strength (p < 0.001) and reduced plasma CRP from 2.0 ± 1.1 to 0.8 ± 0.3 mg·L–1 (p = 0.03). No significant associations were observed between CRP and measures of body composition or aerobic capacity. Combined endurance and resistance training may be an effective modality for reducing plasma CRP in young adult females independent of changes in aerobic capacity or body composition.

scholarly journals Body composition and energy intake — skeletal muscle mass is the strongest predictor of food intake in obese adolescents: The HEARTY trial

2016 ◽  
Vol 41 (6) ◽  
pp. 611-617 ◽  
Author(s):  
Jameason D. Cameron ◽  
Ronald J. Sigal ◽  
Glen P. Kenny ◽  
Angela S. Alberga ◽  
Denis Prud’homme ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Body Weight ◽  
Muscle Mass ◽  
Energy Intake ◽  
Skeletal Muscle Mass ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Percentage Body Fat ◽  
Obese Adolescents

There has been renewed interest in examining the relationship between specific components of energy expenditure and the overall influence on energy intake (EI). The purpose of this cross-sectional analysis was to determine the strongest metabolic and anthropometric predictors of EI. It was hypothesized that resting metabolic rate (RMR) and skeletal muscle mass would be the strongest predictors of EI in a sample of overweight and obese adolescents. 304 post-pubertal adolescents (91 boys, 213 girls) aged 16.1 (±1.4) years with body mass index at or above the 95th percentile for age and sex OR at or above the 85th percentile plus an additional diabetes risk factor were measured for body weight, RMR (kcal/day) by indirect calorimetry, body composition by magnetic resonance imaging (fat free mass (FFM), skeletal muscle mass, fat mass (FM), and percentage body fat), and EI (kcal/day) using 3 day food records. Body weight, RMR, FFM, skeletal muscle mass, and FM were all significantly correlated with EI (p < 0.005). After adjusting the model for age, sex, height, and physical activity, only FFM (β = 21.9, p = 0.007) and skeletal muscle mass (β = 25.8, p = 0.02) remained as significant predictors of EI. FFM and skeletal muscle mass also predicted dietary protein and fat intake (p < 0.05), but not carbohydrate intake. In conclusion, with skeletal muscle mass being the best predictor of EI, our results support the hypothesis that the magnitude of the body’s lean tissue is related to absolute levels of EI in a sample of inactive adolescents with obesity.

Comparison of energy expenditure, body composition, metabolic disorders, and energy intake between obese children with a history of craniopharyngioma and children with multifactorial obesity

2015 ◽  
Vol 28 (11-12) ◽  
Author(s):  
Ilanit Bomer ◽  
Carola Saure ◽  
Carolina Caminiti ◽  
Javier Gonzales Ramos ◽  
Graciela Zuccaro ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Positive Association ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Control Group ◽  
Model Assessment ◽  
Obese Children ◽  
Mass Percentage

AbstractCraniopharyngioma is a histologically benign brain malformation with a fundamental role in satiety modulation, causing obesity in up to 52% of patients.To evaluate cardiovascular risk factors, body composition, resting energy expenditure (REE), and energy intake in craniopharyngioma patients and to compare the data with those from children with multifactorial obesity.All obese children and adolescents who underwent craniopharyngioma resection and a control group of children with multifactorial obesity in follow-up between May 2012 and April 2013.Anthropometric measurements, bioelectrical impedance, indirect calorimetry, energy intake, homeostatic model assessment insulin resistance (HOMA-IR), and dyslipidemia were evaluated.Twenty-three patients with craniopharyngioma and 43 controls were included. Children with craniopharyngioma-related obesity had a lower fat-free mass percentage (62.4 vs. 67.5; p=0.01) and a higher fat mass percentage (37.5 vs. 32.5; p=0.01) compared to those with multifactorial obesity. A positive association was found between %REE and %fat-free mass in subjects with multifactorial obesity (68±1% in normal REE vs. 62.6±1% in low REE; p=0.04), but not in craniopharyngioma patients (62±2.7 in normal REE vs. 61.2±1.8% in low REE; p=0.8). No differences were found in metabolic involvement or energy intake.REE was lower in craniopharyngioma patients compared to children with multifactorial obesity regardless of the amount of fat-free mass, suggesting that other factors may be responsible for the lower REE.

scholarly journals C-reactive protein is inversely and independently associated with maximal oxygen uptake in adolescents with obesity

2020 ◽  
Vol 34 (3) ◽  
pp. 463-469
Author(s):  
João Elias Dias Nunes ◽  
Heitor Santos Cunha ◽  
Renata Roland Teixeira ◽  
Foued S. Espindola ◽  
Nádia Carla Cheik
Keyword(s):  
Body Composition ◽  
Cardiorespiratory Fitness ◽  
Fat Body ◽  
High Sensitivity ◽  
Bioelectrical Impedance ◽  
Tnf Alpha ◽  
Maximum Oxygen Consumption ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Control Plasma

The purposes of this study were: 1) investigate whether different markers of infl ammation (CRP and TNF-alpha) are correlated to cardiorespiratory fi tness in adolescents with obesity; 2) examine the association of these variables when adjusted by parameters of body composition. Were selected 57 individuals, 34 girls and 23 boys, with 16.4±1.56 years and body mass index 36.0±4.3 kg/m2. Anthropometric measurements (weight, height and abdominal circunference) and body composition (BMI, visceral fat, body fat) were assessment. Body composition was estimated by analyzer of tetrapolar bioelectrical impedance. Obesity was defi ned as BMI>95th percentile of the curve proposed by the Center for Diseases Control. Plasma TNF-alpha was measured by a quantitative two-site high-sensitivity enzyme immunoassay and CRP was measured by high-sensitivityimmunoturbidimetric assay. Graded maximal exercise testing was performed to obtain the maximum oxygen consumption (VO2max) and velocity associated with the VO2max (vVO2max). Signifi cant correlations of CRP with VO2max and vVO2max were found (r=-0.40 and r=-0,36, respectively). No correlations were observed between TNF-alpha and VO2max e vVO2max. CRP was associated to the VO2max and vVO2max independently of measurements of body composition. The CRP was independently and inversely associated with direct measurement of VO2max and the indirect variable of cardiorespiratory fitness vVO2max, in obese adolescents, even after adjustments in body composition, a potential confounding factor. No association was found between TNF-alpha and the parameters of cardiorespiratory fitness.

Factors associated with baseline and serial changes in circulating NT-proBNP and high-sensitivity cardiac troponin T in a population-based cohort (Dallas Heart Study)

2021 ◽  
Author(s):  
Christopher W Puleo ◽  
Colby R Ayers ◽  
Sonia Garg ◽  
Ian J Neeland ◽  
Alana A Lewis ◽  
...  
Keyword(s):  
Body Composition ◽  
Cardiac Troponin ◽  
Troponin T ◽  
High Sensitivity ◽  
Left Ventricular ◽  
Cardiac Troponin T ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Heart Study ◽  
Dallas Heart Study

Aim: N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) associate with structural heart disease and heart failure risk in individuals without known cardiovascular disease (CVD). However, few data are available regarding whether factors influencing levels of these two biomarkers are similar or distinct. We performed serial measurement of NT-proBNP and hs-cTnT in a contemporary multiethnic cohort with extensive phenotyping, with the goal of identifying their respective biological determinants in a population without known or suspected CVD. Methods: We evaluated 1877 participants of the Dallas Heart Study who had NT-proBNP and hs-cTnT measured and were free from clinical CVD at the each of its two examinations (2000–2002 and 2007–2009). Variables collected included demographic and risk factors, high-sensitivity C-reactive protein, body composition via dual-energy x-ray absorptiometry, coronary artery calcium by computed tomography, and cardiac dimensions and function by cardiac MRI. Linear regression was used to identify associations of these factors with each biomarker at baseline and with changes in biomarkers over follow-up. Results: NT-proBNP and hs-cTnT were poorly correlated at baseline (Spearman rho 0.083, p = 0.015), with only moderate correlation between change values (rho 0.18, p < 0.001). hs-cTnT positively associated and NT-proBNP inversely associated with male gender and black race. At baseline, both NT-proBNP and hs-cTnT associated with left ventricular end-diastolic volume and wall thickness, but only NT-proBNP associated with left atrial size. Changes in cardiac dimensions between phases were more strongly associated with changes in NT-proBNP than hs-cTnT. NT-proBNP was more strongly associated with high-sensitivity C-reactive protein and measures of body composition than hs-cTnT. Conclusion: Among individuals without CVD in the general population, NT-proBNP and hs-cTnT are nonredundant biomarkers that are differentially associated with demographic and cardiac factors. These findings indicate that hs-cTnT and NT-proBNP may reflect different pathophysiological pathways.

scholarly journals Body composition and appetite: fat-free mass (but not fat mass or BMI) is positively associated with self-determined meal size and daily energy intake in humans

2011 ◽  
Vol 107 (3) ◽  
pp. 445-449 ◽  
Author(s):  
John E. Blundell ◽  
Phillipa Caudwell ◽  
Catherine Gibbons ◽  
Mark Hopkins ◽  
Erik Näslund ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Food Intake ◽  
Energy Intake ◽  
Fat Mass ◽  
Meal Size ◽  
Fat Free Mass ◽  
Daily Energy Intake ◽  
Molecular Control ◽  
Daily Energy

The idea of body weight regulation implies that a biological mechanism exerts control over energy expenditure and food intake. This is a central tenet of energy homeostasis. However, the source and identity of the controlling mechanism have not been identified, although it is often presumed to be some long-acting signal related to body fat, such as leptin. Using a comprehensive experimental platform, we have investigated the relationship between biological and behavioural variables in two separate studies over a 12-week intervention period in obese adults (totaln92). All variables have been measured objectively and with a similar degree of scientific control and precision, including anthropometric factors, body composition, RMR and accumulative energy consumed at individual meals across the whole day. Results showed that meal size and daily energy intake (EI) were significantly correlated with fat-free mass (FFM,Pvalues < 0·02–0·05) but not with fat mass (FM) or BMI (Pvalues 0·11–0·45) (study 1,n58). In study 2 (n34), FFM (but not FM or BMI) predicted meal size and daily EI under two distinct dietary conditions (high-fat and low-fat). These data appear to indicate that, under these circumstances, some signal associated with lean mass (but not FM) exerts a determining effect over self-selected food consumption. This signal may be postulated to interact with a separate class of signals generated by FM. This finding may have implications for investigations of the molecular control of food intake and body weight and for the management of obesity.

Body composition and dietary intake in patients with head and neck cancer during radiotherapy: a longitudinal study

2020 ◽  
pp. bmjspcare-2020-002359
Author(s):  
Bing Zhuang ◽  
Lichuan Zhang ◽  
Yujie Wang ◽  
Yiwei Cao ◽  
Yian Shih ◽  
...  
Keyword(s):  
Body Composition ◽  
Head And Neck Cancer ◽  
Dietary Intake ◽  
Head And Neck ◽  
Energy Intake ◽  
Neck Cancer ◽  
High Energy ◽  
The Body ◽  
Fat Free Mass ◽  
Prospective Longitudinal

ObjectivesTo investigate the body composition and dietary intake in the patients with head and neck cancer (HNC) during radiotherapy (RT), and explore the relationship between them.MethodsThis was a prospective, longitudinal observational study. Adult patients with HNC undergoing RT between March 2017 and August 2018 were recruited. Patients’ body compositions were evaluated by bioelectrical impedance analysis, and dietary intake was recorded by 24-hour dietary recall at three time points, including baseline (T1), mid-treatment (T2) and post-treatment (T3). Patients were divided into low, middle and high energy intake groups based on the average daily energy intake (DEI). Changes in body weight (BW), fat mass (FM), fat-free mass (FFM) and skeletal muscle mass (SMM) among these three groups were compared.ResultsFrom T1 to T3, the median loss of patients’ BW, FM, FFM and SMM was 4.60, 1.90, 2.60 and 1.50 kg, respectively. The loss of BW was more dramatic from T2 to T3 than that from T1 to T2. BW loss was mainly contributed by SMM loss from T1 to T2 and by FM loss from T2 to T3. Meanwhile, patients’ dietary intake reduced during treatment. High DEI group had a significantly attenuated loss of patients’ BW, FFM, SMM and FM compared with the low DEI group.ConclusionPatients’ BW, FM, FFM and SMM all significantly reduced, especially from T2 to T3, with decreased DEI during RT, which stresses the importance of nutrition intervention during the whole course of RT.

scholarly journals Higher Usual Energy Intake, Body Mass, Body Mass Index, and Fat Free Mass Index Are Associated with Lower Attrition from an Arduous Military Selection Course (P23-005-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Emily Farina ◽  
Lauren Thompson ◽  
Joseph Knapik ◽  
Stefan Pasiakos ◽  
James McClung ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Strength Training ◽  
Aerobic Exercise ◽  
Energy Intake ◽  
Body Mass ◽  
Fat Mass ◽  
Smokeless Tobacco ◽  
Fat Free Mass ◽  
Energy Deficit

Abstract Objectives To determine whether usual energy intake and body composition are associated with attrition from an arduous military selection course characterized by energy deficit and strenuous physical events, including fitness tests, loaded road marches, runs, land navigation, and an obstacle course. Methods Energy intake and body composition were assessed in U.S. Army Soldiers (n = 776) at the start of a military assessment and selection course. Usual energy intake (kcal) over the previous year was estimated from a 127-item Block food frequency questionnaire. Body composition measures, including body mass (kg), body mass index (BMI, body mass in kg/height in m2), fat free mass index (FFMI, fat free mass in kg/height in m2), and fat mass index (FMI, fat mass in kg/height in m2) were assessed by calibrated scale and 3-site skinfold caliper measures. Associations between energy intake, body composition, and demographics were determined with analysis of variance. Logistic regression was used to determine likelihood of attrition [odds ratio (OR), 95% confidence interval (CI)] based on quartiles of energy intake and body composition. Models were adjusted for age, education, duration of aerobic exercise, duration of strength training, smoking status, and smokeless tobacco use. Results Soldiers that were younger (18–24 y), engaged in longer duration of aerobic exercise (≥200 min/wk) and strength training (≥400 min/wk), had more education (≥some college), and were smokeless tobacco users had higher energy intakes (P < 0.05). Higher energy intake was associated with higher body mass and FFMI (P < 0.05). After adjustment, Soldiers with higher energy intake, body mass, BMI, and FFMI were less likely to fail the strenuous course (Q1 vs. Q2, Q3, and Q4: OR range = 0.25–0.54; 95% CI lower bound range = 0.15–0.33; 95% CI upper bound range = 0.46–0.87). FMI was not associated with attrition. Conclusions Optimization of body composition by adequate consumption of calories prior to a physically demanding military selection course may be associated with reduced attrition. Funding Sources Supported by U.S. Army Medical Research and Materiel Command. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or reflecting the views of the Army or the Department of Defense. Supporting Tables, Images and/or Graphs

scholarly journals Fatness but Not Fitness Relative to the Fat-Free Mass Is Related to C-Reactive Protein in 18 Year-Old Adolescents

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0130597 ◽  
Author(s):  
Gunnhildur Hinriksdóttir ◽  
Ágústa Tryggvadóttir ◽  
Anna Sigríður Ólafsdóttir ◽  
Sigurbjörn Árni Arngrímsson
Keyword(s):  
Fat Free Mass ◽  
C Reactive Protein ◽  
Reactive Protein
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