Weight Loss and High-Protein, High-Fiber Diet Consumption Impact Blood Metabolite Profiles, Body Composition, Voluntary Physical Activity, Fecal Microbiota, and Fecal Metabolites of Adult Dogs

Author(s):  
Thunyaporn Phungviwatnikul ◽  
Anne H Lee ◽  
Sara E Belchik ◽  
Jan S Suchodolski ◽  
Kelly S Swanson

Abstract Canine obesity is associated with reduced lifespan and metabolic dysfunction, but can be managed by dietary intervention. This study aimed to determine the effects of restricted feeding of a high-protein, high-fiber (HPHF) diet and weight loss on body composition, physical activity, blood metabolites, and fecal microbiota and metabolites of overweight dogs. Twelve spayed female dogs [age: 5.5±1.1 yr; body weight (BW): 14.8±2.0 kg, body condition score (BCS): 7.9±0.8] were fed a HPHF diet during a 4-wk baseline phase to maintain BW. After baseline (wk 0), dogs were first fed 80% of baseline intake and then adjusted to target 1.5% weekly weight loss for 24 wk. Body composition using dual-energy x-ray absorptiometry and blood samples (wk 0, 6, 12, 18, 24), voluntary physical activity (wk 0, 7, 15, 23), and fresh fecal samples for microbiota and metabolite analysis (wk 0, 4, 8, 12, 16, 20, 24) were measured over time. Microbiota data were analyzed using QIIME 2. All data were analyzed statistically over time using SAS 9.4. After 24 wk, dogs lost 31.2% of initial BW and had 1.43±0.73% weight loss per wk. BCS decreased (P<0.0001) by 2.7 units, fat mass decreased (P<0.0001) by 3.1 kg, and fat percentage decreased (P<0.0001) by 3.1 kg and 11.7% with weight loss. Many serum metabolites and hormones were altered, with triglycerides, leptin, insulin, C-reactive protein, and interleukin-6 decreasing (P<0.05) with weight loss. Relative abundances of fecal Bifidobacterium, Coriobacteriaceae UCG-002, undefined Muribaculaceae, Allobaculum, Eubacterium, Lachnospira, Negativivibacillus, Ruminococcus gauvreauii group, uncultured Erysipelotrichaceae, and Parasutterella increased (P<0.05), whereas Prevotellaceae Ga6A1 group, Catenibacterium, Erysipelatoclostridium, Fusobacterium, Holdemanella, Lachnoclostridium, Lactobacillus, Megamonas, Peptoclostridium, Ruminococcus gnavus group, and Streptococcus decreased (P<0.01) with weight loss. Despite the number of significant changes, a state of dysbiosis was not observed in overweight dogs. Fecal ammonia and secondary bile acids decreased, while fecal valerate increased with weight loss. Several correlations between gut microbial taxa and biological parameters were observed. Our results suggest that restricted feeding of a HPHF diet and weight loss promotes fat mass loss, minimizes lean mass loss, reduces inflammatory marker and triglyceride concentrations, and modulates fecal microbiota phylogeny and activity in overweight dogs.

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 318-319
Author(s):  
Thunyaporn Phungviwatnikul ◽  
Sara E Belchik ◽  
Kelly S Swanson

Abstract Canine obesity can be managed by dietary energy restriction using a specifically formulated weight loss diet. The objective of this study was to determine the effects of weight loss on body composition, voluntary physical activity, and blood metabolites of overweight dogs while being fed a high-protein, high-fiber diet. All procedures were approved by the University of Illinois Institutional Animal Care and Use Committee prior to experimentation. Twelve overweight adult spayed female dogs (BW: 15.3±2.1 kg, BCS: 8.1±0.6) were fed a high-protein (CP: 42.0% DMB), high-fiber (TDF: 22.0% DMB) diet during a 5-wk baseline phase (wk 0) to identify food intake needed to maintain BW. A 24-wk weight loss phase followed. After wk 0, food was initially provided at 80% the amount needed to maintain BW and then adjusted weekly with a goal of 1.5–2% weight loss per wk. Data were analyzed statistically overtime using SAS 9.4. After 24 wk, dogs lost 31.2% of initial BW (P < 0.0001), with 1.4±0.7% weight loss per wk. BCS decreased by 2.8 units (P < 0.0001). During weight loss, dogs consumed an average of 457.5±61.4 kcal/d, with energy intake being reduced by a total of 43.8% by wk 24 compared to baseline. Lean muscle mass, fat mass, and fat percentage were reduced (P < 0.0001) by 1.3 kg, 3.1 kg, and 11.7% respectively. Serum triglycerides, alkaline phosphatase, white blood cell counts, and neutrophils were decreased (P < 0.0001), but serum bilirubin, creatinine, and blood urea nitrogen were increased (P < 0.01) over time. Average daily physical activity changed over time, but was not greatly different due to weight loss. Our results suggest that a high-protein, high-fiber diet promotes fat mass loss, minimizes lean muscle mass loss, and reduces inflammatory marker and triglyceride concentrations in overweight dogs. Therefore, it is a suitable nutritional solution for weight loss programs in dogs.


Author(s):  
Antonino De Lorenzo ◽  
Annalisa Noce ◽  
Eleonora Moriconi ◽  
Tiziana Rampello ◽  
Giulia Marrone ◽  
...  

Male obesity secondary hypogonadism (MOSH) impairs fertility, sexual function, bone mineralization, fat metabolism, cognitive function, deteriorates muscle mass and alters body composition. The aim of this pilot study was to evaluate the effect of dietary intervention and physical activity on the MOSH patient’s hormonal profile after a 10% weight loss compared to baseline. Fourteen male patients were enrolled. Hormonal, lipid, glycemic profiles and body composition were determined at baseline and after a 10% weight loss. Aging Male Symptoms Scale (AMS) and Yale Food Addiction Scale (YFAS) were administered to patients in order to investigate hypogonadal symptoms and food addiction. Compared to baseline, a significant increase of Total Testosterone (TT) (300.2 ± 79.5 ng/dl vs 408.3 ± 125.9, p = 0.002, 95% CI 26.8; 167.7) and a reduction of 17-Beta Estradiol level (48.3 ± 14.9 pg/mL vs 39.2 ± 15.2, p = 0.049, 95% CI 3.1; 0.0) were observed. Total Fat Mass (FM) percentage, android and gynoid fat mass percentage (39.2 ± 6.4% vs 36.2 ± 5.8%, p = 0.0001, 95% CI 22.5; 62.3; 51.5 ± 6.8% vs 47.6 ± 6.8%, p = 0.001, 95% CI 0.6; 1.8, vs 39.2 ± 6.2% vs 36.5 ± 6.3% p= 0.0001, 95% CI 0.9; 2.0 respectively) were significantly decreased after nutritional intervention. In addition, total Fat Free Mass (FFM) in kg was significantly reduced after 10% weight loss (62.3± 2.8 kg vs 60.3± 7.7 kg, p = 0.002, 95% CI 45.0; 93.0). Lifestyle changes, specifically dietotherapy and physical activity, induce positive effects on hypogonadism due to obesity.


2019 ◽  
Vol 15 (3) ◽  
pp. 95
Author(s):  
Martha Ardiaria ◽  
Erin Ratna Kustanti ◽  
Ria Purnawian Sulistiani ◽  
Etika Ratna Noer

The effect of integrated nutrition programme on lipid profile and body composition among adolescent obesityBackground: Obesity is a serious public health issue increasingly in the adolescent. Obesity in adolescence will continue into adulthood and lead to later health problems. The adolescent has high food dense calories which high fat and low in fiber that can trigger obesity. Integrated Nutrition Programme (INP) is an intervention model for obesity with an emphasis on a low-calorie diet, low fat, high fiber, moderate physical activity, and nutrition counseling.Objective: This study aimed to evaluate the effect of INP on lipid profile and body composition in obese adolescents.Methods: Quasi-experimental study pre-post trial design with a total of subjects 18 obese adolescents. Duration of intervention in subjects for four weeks with a hypocaloric diet, low fat, high fiber, and prepared by a dietician. Moderate exercise and dietary counseling were conducted on the subject regularly. Bodyweight (BW) and waist circumference (WC) were monitored once a week. Food record intake is done before and during the intervention.Results: The mean weight loss of 1.55 kg. There is a difference in mean BW, WC, and BMI (p<0.01), whereas there were no significant differences in lipid profiles and body composition between before and after the intervention.Conclusions: INP can significantly affect weight loss, BMI, and WC as well as a significant increase in physical activity.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Ajeng Arumsari Yayi Pramesti

Most of the mothers are very attentitve to changes in body composition, especially postpartum weight loss. One of the factors believed to facilitate the weight loss and body fat loss in postpartum mothers is breastfeeding. Factor that affect the relationship between breastfeeding with maternal postpartum body composition are food intake and physical activity. The aim of this study is to analyze the change in body composition between the mother who give exclusive breastfeeding for 6 months and the mother who don’t and also attempts to analyze the effect of breastfeeding duration to the change in body composition and the factor affecting it.This study used the panel study with longitudinal approach. 32 respondents observed for 6 months. Fat mass measurement data are collected using skinfold caliper and breastfeeding status, food intake and physical actiuvity data are collected using interview. The relationship between breastfeeding with the change in body composition is analyzed using t-test analysis. T-test analysis are also used to test the effect of food intake and physical activity to breastfeeding. Regression analysis are used to analyze the effect of food intake and physical activity to body composition.According to the result of statistical analysis, there is no significance effect of breastfeeding for 6 months to the change in maternal postpartum body composition (fat mass and free fat mass) (p = 0.743; p = 0.771) and also no significance effect of food intake and physical activity to the relation between breastfeeding with the change in body composition. There is a significance effect of breastfeeding for 4 months to the change in the body composition (p = 0.046). The average fat mass change in mother who give exclusive breastfeed is higher than the one who don’t.From 32 respondents in this study, only 4 mothers can successfully give exclusive breastfeed for 6 months. The average fat mass change in mother who give exclusive breastfeed is higher than the one who don’t. There is no significance effect of breastfeeding for 6 months to the change in maternal postpartum body composition (fat mass and free fat mass). There is a significance effect of breastfeeding for 4 months to the change in maternal postpartum body composition.Keywords: Breastfeeding, body composition, maternal postpartum


2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Rachel A. Millstein

Background. Measuring success of obesity interventions is critical. Several methods measure weight loss outcomes but there is no consensus on best practices. This systematic review evaluates relevant outcomes (weight loss, BMI, % body fat, and fat mass) to determine which might be the best indicator(s) of success.Methods. Eligible articles described adult weight loss interventions that included diet and physical activity and a measure of weight or BMI change and body composition change.Results. 28 full-text articles met inclusion criteria. Subjects, settings, intervention lengths, and intensities varied. All studies measured body weight (−2.9 to −17.3 kg), 9 studies measured BMI (−1.1 to −5.1 kg/m2), 20 studies measured % body fat (−0.7 to −10.2%), and 22 studies measured fat mass (−0.9 to −14.9 kg). All studies found agreement between weight or BMI and body fat mass or body fat % decreases, though there were discrepancies in degree of significance between measures.Conclusions. Nearly all weight or BMI and body composition measures agreed. Since body fat is the most metabolically harmful tissue type, it may be a more meaningful measure of health change. Future studies should consider primarily measuring % body fat, rather than or in addition to weight or BMI.


Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Quinn R Pack ◽  
Randal Thomas ◽  
Ray Squires ◽  
Lezlie Johnson ◽  
Virend Somers ◽  
...  

Introduction : Obesity is a common risk factor in cardiac rehabilitation (CR), yet many CR patients do not realize significant weight loss, despite engaging in regular exercise training while in CR. Hypothesis : We hypothesized that standard CR would demonstrate favorable body composition (BC) changes even in the absence of weight loss and sought to measure the performance characteristics of weight loss to predict BC changes. Methods : We included consecutive patients enrolled in early outpatient CR who underwent air displacement plethysmography with measurements of height, weight, and waist circumference at initiation and completion of CR. We calculated the accuracy of weight loss to identify significant improvements in BC. Results : Data from 112 patients were available for analysis; mean age 60±12 yr., 76% male, mean body mass index (BMI) 30.2±5.3 kg/m 2 . The indication for CR was myocardial infarction (n=33), percutaneous coronary intervention (n=29), coronary artery bypass or valve surgery (n=45), and heart transplant (n=5). Repeat testing occurred after a median of 81 days and 21 phase II CR sessions. There was no change in BMI (-0.53±1.3 kg/m 2 , p=0.43) and weight (-1.6±4.0 kg, p=0.51). Fat mass showed a borderline significant decrease of 2.9±3.9 kg (p=0.08). However, BC improved significantly as measured by body fat % (-2.5±3.2%, p=0.03) and waist circumference (-4.6±5.2 cm; p=0.01). There was a correlation between weight loss and fat mass loss (r=0.85, p=0.0001, positive predictive value=0.94), and % fat change (r=0.67, p=0.0001, positive predictive value=0.91). See table 1. However, the negative predictive value to detect no fat change for patients who did not lose weight was low (0.49, when assessed by % body fat loss, and 0.57, when assessed by fat mass loss). Among patients who did not lose weight, 29 (51%) had a greater than 1% body fat loss. Conclusions : The diagnostic performance of weight change to predict favorable BC changes is poor and highlights the potential utility of BC measurements in the CR setting. Table. Diagnostic Characteristics of Weight Loss as a Predictor of Improvements in Body Composition Weight Loss (kg) Body Fat % Loss ≤ 1% Fat Mass Loss (kg) > 1kg > 1% ≤ 1kg > 1kg 49 5 51 3 ≤ 1kg or gain 29 28 25 33 Sensitivity 0.63 0.67 Specificity 0.85 0.92 PPV * 0.91 0.94 NPV ** 0.49 0.57 * PPV = Positive Predictive Valve, ** NPV = Negative Predictive Value


2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Yang Niu ◽  
Xue-lin Zhao ◽  
Hui-juan Ruan ◽  
Xiao-meng Mao ◽  
Qing-ya Tang

Abstract Background Current adult studies suggest that uric acid (UA) is associated with body fat, but the relationship in obese children is unclear. Thus, we aim to evaluate the association between uric acid and body composition of obese children. Methods A total of 79 obese children were included in this study, and 52 children (34 boys and 18 girls) underwent a 6-week weight loss camp, including 34 boys and 18 girls. Six-week weight-loss interventions were performed on all participants through aerobic exercise and appropriate dietary control. Laboratory tests and body composition were collected before and after the intervention. Results Before the intervention, correlation analysis demonstrated that uric acid was positively correlated with height, weight, body mass index (BMI), waist circumference, hip circumference, fat mass (FM), and free fat mass (FFM) with adjusting for age and gender (P < 0.05). After 6 weeks of intervention, the participants gained 3.12 ± 0.85 cm in height, body fat percentage decreased by 7.23 ± 1.97%, and lost 10.30 ± 2.83 kg in weight. Univariate and multivariate analysis indicated that uric acid at baseline was associated with FM reduction during weight loss (P < 0.05). Conclusions This study is the first report that uric acid is associated with BMI and FM, and may play an important role in the reduction of FM during weight loss in obese children and adolescents. The interaction between UA and adiposity factors and its underlying mechanisms need to be further explored. Trial registration This study was registered in Clinical Trials.gov (NCT03490448) and approved by the Ethics Committee of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine.


Obesity ◽  
2013 ◽  
Vol 22 (2) ◽  
pp. 325-331 ◽  
Author(s):  
Kristen M. Beavers ◽  
Daniel P. Beavers ◽  
Beverly A. Nesbit ◽  
Walter T. Ambrosius ◽  
Anthony P. Marsh ◽  
...  

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