High-fiber diet promotes weight loss and affects maternal behavior in vervet monkeys

2009 ◽  
Vol 72 (3) ◽  
pp. 234-241 ◽  
Author(s):  
Lynn A. Fairbanks ◽  
Karin Blau ◽  
Matthew J. Jorgensen
2021 ◽  
Vol 9 (12) ◽  
pp. 2493
Author(s):  
Baoyu Xiang ◽  
Liping Zhao ◽  
Menghui Zhang

Gut-microbiota-targeted nutrition intervention has achieved success in the management of obesity, but its underlying mechanism still needs extended exploration. An obese Prader–Willi syndrome boy lost 25.8 kg after receiving a high-fiber dietary intervention for 105 days. The fecal microbiome sequencing data taken from the boy on intervention days 0, 15, 30, 45, 60, 75, and 105, along with clinical indexes, were used to construct a metagenome-scale metabolic network. Firstly, the abundances of the microbial strains were obtained by mapping the sequencing reads onto the assembly of gut organisms through use of reconstruction and analysis (AGORA) genomes. The nutritional components of the diet were obtained through the Virtual Metabolic Human database. Then, a community model was simulated using the Microbiome Modeling Toolbox. Finally, the significant Spearman correlations among the metabolites and the clinical indexes were screened and the strains that were producing these metabolites were identified. The high-fiber diet reduced the overall amount of metabolite secretions, but the secretions of folic acid derivatives by Bifidobacterium longum strains were increased and were significantly relevant to the observed weight loss. Reduced metabolites might also have directly contributed to the weight loss or indirectly contribute by enhancing leptin and decreasing adiponectin. Metagenome-scale metabolic network technology provides a cost-efficient solution for screening the functional microbial strains and metabolic pathways that are responding to nutrition therapy.


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.


2018 ◽  
Vol 108 (4) ◽  
pp. 645-651 ◽  
Author(s):  
Lars Christensen ◽  
Henrik M Roager ◽  
Arne Astrup ◽  
Mads F Hjorth

Abstract Human gut microbiota has been suggested to play an important role in nutrition and obesity. However, formulating meaningful and clinically relevant dietary advice based on knowledge about gut microbiota remains a key challenge. A number of recent studies have found evidence that stratification of individuals according to 2 microbial enterotypes (dominance of either Prevotella or Bacteroides) may be useful in predicting responses to diets and drugs. Here, we review enterotypes in a nutritional context and discuss how enterotype stratification may be used in personalized nutrition in obesity management. Enterotypes are characterized by distinct digestive functions with preference for specific dietary substrate, resulting in short-chain fatty acids that may influence energy balance in the host. Consequently, the enterotype potentially affects the individual's ability to lose weight when following a specific diet. In short, a high-fiber diet seems to optimize weight loss among Prevotella-enterotype subjects but not among Bacteroides-enterotype subjects. In contrast, increasing bifidobacteria in the gut among Bacteroides-enterotype subjects improves metabolic parameters, suggesting that this approach can be used as an alternative weight loss strategy. Thus, enterotypes, as a pretreatment gut microbiota biomarker, have the potential to become an important tool in personalized nutrition and obesity management, although further interventions assessing their applicability are warranted.


2007 ◽  
Vol 21 (6) ◽  
pp. 1203-1208 ◽  
Author(s):  
Mickaël Weber ◽  
Thomas Bissot ◽  
Eric Servet ◽  
Renaud Sergheraert ◽  
Vincent Biourge ◽  
...  

2020 ◽  
Vol 26 (Supplement_1) ◽  
pp. S8-S9
Author(s):  
Julia Fritsch ◽  
Alejandra Quintero ◽  
Judith Pignac-Kobinger ◽  
Luis Garces ◽  
Ana Santander ◽  
...  

Abstract Background and Aims There is a lack of evidence-based dietary interventions in ulcerative colitis (UC) management. A diet high in fat and animal meat has been linked to an increased risk of UC. The aim of our study was to use a multilayered, multi-omic approach to comprehensively characterize the effect of a low fat, high fiber diet or a high fat diet in UC patients. Methods We enrolled patients with UC who were in remission or had mild disease with a flare within the last 18 months. We used a cross-over design in which patients received two dietary interventions: a low fat diet (LFD), containing 10% total calories from fat with an omega 6 to 3 ratio of below 3:1, and an idealized standard American diet (SAD), containing 35–40% total calories from fat with an omega 6 to 3 ratio of 20–30:1. Each diet was four weeks long with a two-week wash-out in between. The diet was catered and delivered to patients’ homes. Clinical symptoms, quality of life, and biochemical data were collected. Stool was collected for microbiome and metabolomic analyses. The primary endpoint was to determine adherence to a specified diet using catered meals; the secondary endpoint was to determine the clinical and subclinical effects of a low fat, high fiber diet or high fat diet in UC. Results Baseline diets varied widely but were generally lower in fiber as well as fruits and vegetables and higher in saturated fat than either of the study diets. There was a high rate of adherence to catered meals (SAD=86.68%, LFD=84.8%) with a 96.8% and 94.33% adherence to fat for SAD and LFD respectively. Patients that started in remission remained in remission (partial Mayo and sIBDQ). Following a LFD, patients saw a 20% improvement in their quality of life as measured by sIBDQ compared to their baseline. The effect of diet intervention on microbial diversity was reflected in the beta diversity with a significant increase in Faecalibacterium prausnitzii after LFD. CRP, sIBDQ, IL-6, and IL1β had a significant effect on overall gut microbiota composition as measured by Bray Curtis beta diversity (PERMANOVA)(P<0.007, P<0.001, P<0.021, P<0.048 respectively). The top taxa that contributes the most to this microbial variation from these clinical parameters was Faecalibacterium prausnitzii. Patients following a SAD had an increase in lauric acid, myristic acid, and N-oleoyl-L-phenylalanine with an increase in omega-6 metabolism pathways. Patients following a LFD had higher glycine, alanine, and phenyllactic acid with omega 3 metabolism pathways increased after LFD. Conclusions A low fat, high fiber diet is well tolerated and did not increase biochemical markers of inflammation. Catered meals and collection of microbiome, metabolome and biochemical data may allow early stratification of diet responders.


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