0
selected
-
1.
Exercise Training Modulates Gut Microbiota Profile and Improves Endotoxemia.
Motiani, KK, Collado, MC, Eskelinen, JJ, Virtanen, KA, Löyttyniemi, E, Salminen, S, Nuutila, P, Kalliokoski, KK, Hannukainen, JC
Medicine and science in sports and exercise. 2020;52(1):94-104
-
-
-
Free full text
-
Plain language summary
The gut microbiome differs between healthy people and those with metabolic diseases, including metabolic syndrome and type 2 diabetes (T2D) and it is suggested that this association is mediated by endotoxemia, the release of toxins, in particular lipopolysaccharides (LPS), from the gut bacteria. The aim of this study was to investigate the effects of exercise on gut microbiota composition and metabolic endotoxemia in people with prediabetes and T2D. 26 sedentary participants with either prediabetes or T2D took part in either a sprint interval training (SIT) or moderate-intensity continuous training (MICT) three times per week for two weeks. Both training types induced fat loss and improved the gut microbiota, HbA1C (a marker for whole body insulin sensitivity) as well as some markers of systemic and intestinal inflammation, although there were differences in the way the two types of exercise altered the gut bacterial composition. Only SIT improved aerobic capacity. The authors concluded that exercise training improves the gut microbiota and reduces endotoxemia.
Abstract
INTRODUCTION Intestinal metabolism and microbiota profiles are impaired in obesity and insulin resistance. Moreover, dysbiotic gut microbiota has been suggested to promote systemic low-grade inflammation and insulin resistance through the release of endotoxins particularly lipopolysaccharides. We have previously shown that exercise training improves intestinal metabolism in healthy men. To understand whether changes in intestinal metabolism interact with gut microbiota and its release of inflammatory markers, we studied the effects of sprint interval (SIT) and moderate-intensity continuous training (MICT) on intestinal metabolism and microbiota in subjects with insulin resistance. METHODS Twenty-six, sedentary subjects (prediabetic, n = 9; type 2 diabetes, n = 17; age, 49 [SD, 4] yr; body mass index, 30.5 [SD, 3]) were randomized into SIT or MICT. Intestinal insulin-stimulated glucose uptake (GU) and fatty acid uptake (FAU) from circulation were measured using positron emission tomography. Gut microbiota composition was analyzed by 16S rRNA gene sequencing and serum inflammatory markers with multiplex assays and enzyme-linked immunoassay kit. RESULTS V˙O2peak improved only after SIT (P = 0.01). Both training modes reduced systematic and intestinal inflammatory markers (tumor necrosis factor-α, lipopolysaccharide binding protein) (time P < 0.05). Training modified microbiota profile by increasing Bacteroidetes phylum (time P = 0.03) and decreasing Firmicutes/Bacteroidetes ratio (time P = 0.04). Moreover, there was a decrease in Clostridium genus (time P = 0.04) and Blautia (time P = 0.051). Only MICT decreased jejunal FAU (P = 0.02). Training had no significant effect on intestinal GU. Colonic GU associated positively with Bacteroidetes and inversely with Firmicutes phylum, ratio Firmicutes/Bacteroidetes and Blautia genus. CONCLUSIONS Intestinal substrate uptake associates with gut microbiota composition and whole-body insulin sensitivity. Exercise training improves gut microbiota profiles and reduces endotoxemia.
-
2.
A structured weight loss program increases gut microbiota phylogenetic diversity and reduces levels of Collinsella in obese type 2 diabetics: A pilot study.
Frost, F, Storck, LJ, Kacprowski, T, Gärtner, S, Rühlemann, M, Bang, C, Franke, A, Völker, U, Aghdassi, AA, Steveling, A, et al
PloS one. 2019;14(7):e0219489
-
-
-
Free full text
Plain language summary
The global obesity epidemic is a major cause of the increase in type 2 diabetes mellitus (T2DM) and ensuing cardiovascular disease. The causes of obesity are complex ,and it has been shown that changes in the microbiome are associated with obesity. The microbiome can be altered through dietary intervention and weight loss. The aim of this open label pilot study was to investigate the microbiome of obese patients with T2DM during a weight loss programme. During the first six weeks the diet consisted of formula drink providing 800kcal per day, followed by nine weeks during which a regular diet of 1,200-1,500kcal per day was reintroduced, depending on the individuals’ needs. All participants lost weight continuously over the 15 weeks, from an average BMI of 39.6 at the start to 33.1 at the end of the programme. This was accompanied with an improvement in glucose metabolism, total and LDL cholesterol and uric acid levels, but not HDL cholesterol or triglycerides. All participants experienced changes in their microbiome towards greater diversity after the first six weeks of the low-calorie formula diet but these changes were partially reversed at the end of the study period at 15 weeks. A particular type of bacteria, Collinsella, which has been associated with poor metabolic health, was the only type found to remain reduced at the end of the 15 weeks, an 8.4-fold decrease. The authors hypothesise that this reduction in Collinsella may be associated with the improvement of metabolic factor in these patients at the end of the study.
Abstract
The global obesity epidemic constitutes a major cause of morbidity and mortality challenging public health care systems worldwide. Thus, a better understanding of its pathophysiology and the development of novel therapeutic options are urgently needed. Recently, alterations of the intestinal microbiome in the obese have been discussed as a promoting factor in the pathophysiology of obesity and as a contributing factor to related diseases such as type 2 diabetes and metabolic syndrome. The present pilot study investigated the effect of a structured weight loss program on fecal microbiota in obese type 2 diabetics. Twelve study subjects received a low-calorie formula diet for six weeks, followed by a nine week food reintroduction and stabilization period. Fecal microbiota were determined by 16S rRNA gene sequencing of stool samples at baseline, after six weeks and at the end of the study after fifteen weeks. All study subjects lost weight continuously throughout the program. Changes in fecal microbiota were most pronounced after six weeks of low-calorie formula diet, but reverted partially until the end of the study. However, the gut microbiota phylogenetic diversity increased persistently. The abundance of Collinsella, which has previously been associated with atherosclerosis, decreased significantly during the weight loss program. This study underlines the impact of dietary changes on the intestinal microbiome and further demonstrates the beneficial effects of weight loss on gut microbiota. Trial registration: ClinicalTrials.gov NCT02970838.
-
3.
Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial.
Roager, HM, Vogt, JK, Kristensen, M, Hansen, LBS, Ibrügger, S, Mærkedahl, RB, Bahl, MI, Lind, MV, Nielsen, RL, Frøkiær, H, et al
Gut. 2019;68(1):83-93
-
-
-
Free full text
-
Plain language summary
Whole grain consumption has been linked with decreased risk of lifestyle-related diseases. While animal studies have shown the gut microbiome to be a mediator of metabolic health, human studies examining the effect of whole grain intake of the gut remain inconclusive. The aim of this study was to investigate the effects of a whole grain diet on the gut microbiome, gut functionality and biomarkers of metabolic health. In this randomised, controlled, crossover study, 50 participants completed two 8-week dietary intervention periods comprising of a whole grain diet and a refined grain diet with a 6-week washout period. Examinations were done at the beginning and end of each intervention period to assess anthropometry and various plasma and gut markers. This study found that a whole grain diet as compared with a refined grain diet reduced energy intake and body weight as well as circulating markers of inflammation. Contrary to the hypothesis, these benefits were all observed independent of changes in the gut microbiome. Based on these results, the authors conclude higher intake of whole grains should be recommended to those at risk of inflammation-related disease.
Abstract
OBJECTIVE To investigate whether a whole grain diet alters the gut microbiome and insulin sensitivity, as well as biomarkers of metabolic health and gut functionality. DESIGN 60 Danish adults at risk of developing metabolic syndrome were included in a randomised cross-over trial with two 8-week dietary intervention periods comprising whole grain diet and refined grain diet, separated by a washout period of ≥6 weeks. The response to the interventions on the gut microbiome composition and insulin sensitivity as well on measures of glucose and lipid metabolism, gut functionality, inflammatory markers, anthropometry and urine metabolomics were assessed. RESULTS 50 participants completed both periods with a whole grain intake of 179±50 g/day and 13±10 g/day in the whole grain and refined grain period, respectively. Compliance was confirmed by a difference in plasma alkylresorcinols (p<0.0001). Compared with refined grain, whole grain did not significantly alter glucose homeostasis and did not induce major changes in the faecal microbiome. Also, breath hydrogen levels, plasma short-chain fatty acids, intestinal integrity and intestinal transit time were not affected. The whole grain diet did, however, compared with the refined grain diet, decrease body weight (p<0.0001), serum inflammatory markers, interleukin (IL)-6 (p=0.009) and C-reactive protein (p=0.003). The reduction in body weight was consistent with a reduction in energy intake, and IL-6 reduction was associated with the amount of whole grain consumed, in particular with intake of rye. CONCLUSION Compared with refined grain diet, whole grain diet did not alter insulin sensitivity and gut microbiome but reduced body weight and systemic low-grade inflammation. TRIAL REGISTRATION NUMBER NCT01731366; Results.
-
4.
Changes in Gut Microbiota-Related Metabolites and Long-term Successful Weight Loss in Response to Weight-Loss Diets: The POUNDS Lost Trial.
Heianza, Y, Sun, D, Smith, SR, Bray, GA, Sacks, FM, Qi, L
Diabetes care. 2018;41(3):413-419
-
-
-
Free full text
-
Plain language summary
Evidence has demonstrated that weight loss contributes to lowering the risk of developing type 2 diabetes among obese patients. The aim of this study was to examine whether diet-induced metabolites were associated with improvements in adiposity and metabolism during a weight-loss diet intervention in 510 overweight and obese individuals. Participants were randomly assigned to one of four diets with varying macronutrient composition to adhere to for six months. Blood samples and anthropometric data were taken at baseline and 6 months to monitor changes. This study found that overweight and obese individuals with reduced choline or L-carnitine levels achieved greater improvements of adiposity and energy metabolism. Based on these results, the authors conclude that metabolites are predictive of patient responsiveness to dietary interventions, and suggest further studies evaluate these effects in the pre-diabetic obese population.
Abstract
OBJECTIVE Adiposity and the gut microbiota are both related to the risk of type 2 diabetes. We aimed to comprehensively examine how changes induced by a weight-loss diet intervention in gut microbiota-related metabolites, such as trimethylamine N-oxide (TMAO) and its precursors (choline and l-carnitine), were associated with improvements in adiposity and regional fat deposition. RESEARCH DESIGN AND METHODS This study included 510 overweight and obese individuals who were randomly assigned one of four diets varying in macronutrient intake. We examined associations of 6-month changes in blood metabolites (TMAO, choline, and l-carnitine) with improvements in body weight (BW), waist circumference (WC), body fat composition, fat distribution, and resting energy expenditure (REE). RESULTS Individuals with a greater reduction of choline (P < 0.0001) and l-carnitine (P < 0.01) rather than TMAO showed significant losses of BW and WC at 6 months. The reduction of choline was significantly predictive of decreases in body fat composition, fat distribution, and REE. Results of sensitivity analysis showed that the baseline diabetes risk status, such as the presence of hyperglycemia (31% of the total participants) and fasting glucose levels, did not modify the associations. Early changes in choline and l-carnitine were significantly predictive of weight loss over 2 years (P < 0.05 for all). Individuals with increases in choline or l-carnitine were 2.35-times (95% CI 1.38, 4.00) or 1.77-times (1.06, 2.95) more likely to fail to lose weight (-5% or more loss) at 2 years. CONCLUSIONS Overweight and obese individuals who showed decreases in circulating choline or l-carnitine levels achieved greater improvements of adiposity and energy metabolism by eating a low-calorie weight-loss diet, suggesting that such metabolites are predictive of individuals' response to the treatment. Further investigations are necessary to confirm our findings, particularly in a population with prediabetes that is more representative of the U.S. population with obesity.
-
5.
Fructose metabolism and metabolic disease.
Hannou, SA, Haslam, DE, McKeown, NM, Herman, MA
The Journal of clinical investigation. 2018;128(2):545-555
-
-
-
Free full text
-
Plain language summary
Sugar consumption is thought to be a contributing factor in the increase in diabetes and obesity and the associated risk of cardiovascular disease worldwide. Sucrose (table sugar) and high fructose corn syrup contain almost equal amounts of fructose and glucose and are commonly added to processed foods. Whilst long-term studies are lacking, some short-term intervention studies show that fructose can impair lipid metabolism and insulin sensitivity in humans. This article reviews the biochemistry and molecular genetics of fructose metabolism as well as potential mechanisms by which excessive fructose consumption contributes to cardiometabolic disease. Fructose absorption in the human intestine is saturable, and there is a large range in capacity to absorb fructose between individuals, and unabsorbed fructose may contribute to gastrointestinal symptoms including pain and bloating. Fructose concentrations in the blood can increase 10-fold after consumption, but are rapidly cleared, mostly by the liver, where it provides substrate for metabolic processes, but may also be involved in signalling functions. Fructose may enhance glucose uptake by the liver and storage as glycogen and lipids. It may also increase production of uric acid which is implicated with gout. Excessive fructose consumption affects lipid metabolism and may contribute to fat accumulation in the liver and increase circulating triglycerides, a risk factor for heart disease. In animal models it also induces increased insulin levels. Fructose is one of the sweetest sugars which may affect appetite and overeating. It may also induce addiction-like behaviours such as binging and dependence in part by stimulating dopaminergic pathways. It also appears to induce leptin resistance which further increases food intake and obesity.
Abstract
Increased sugar consumption is increasingly considered to be a contributor to the worldwide epidemics of obesity and diabetes and their associated cardiometabolic risks. As a result of its unique metabolic properties, the fructose component of sugar may be particularly harmful. Diets high in fructose can rapidly produce all of the key features of the metabolic syndrome. Here we review the biology of fructose metabolism as well as potential mechanisms by which excessive fructose consumption may contribute to cardiometabolic disease.
-
6.
Role of whole grains versus fruits and vegetables in reducing subclinical inflammation and promoting gastrointestinal health in individuals affected by overweight and obesity: a randomized controlled trial.
Kopf, JC, Suhr, MJ, Clarke, J, Eyun, SI, Riethoven, JM, Ramer-Tait, AE, Rose, DJ
Nutrition journal. 2018;17(1):72
-
-
-
Free full text
Plain language summary
Poor diet is the leading risk factor for premature death and disability in the United States. Poor diets lead to metabolic syndrome and its associated diseases such as heart disease and diabetes. The purpose of this study was to determine the impact of increasing intake of wholegrains or fruit and vegetables against a typical Western diet on inflammatory makers and gut microbiota composition. The study was a randomized, parallel arm feeding trial which enrolled fifty-two participants. The subjects were randomized into three groups (control, wholegrains, and fruit and vegetables). Results indicate that the wholegrain and fruit and vegetable diets had significant positive impacts on inflammatory markers. Interestingly, while both treatment groups decreased inflammatory markers, each decreased a different biomarker. The treatments induced individualised changes in microbiota composition such that treatment group differences were not identified. Authors conclude that wholegrain and fruit and vegetable diets have a positive impact on metabolic health in individuals affected by overweight or obesity.
Abstract
BACKGROUND Whole grains (WG) and fruits and vegetables (FV) have been shown to reduce the risk of metabolic disease, possibly via modulation of the gut microbiota. The purpose of this study was to determine the impact of increasing intake of either WG or FV on inflammatory markers and gut microbiota composition. METHODS A randomized parallel arm feeding trial was completed on forty-nine subjects with overweight or obesity and low intakes of FV and WG. Individuals were randomized into three groups (3 servings/d provided): WG, FV, and a control (refined grains). Stool and blood samples were collected at the beginning of the study and after 6 weeks. Inflammatory markers [tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), lipopolysaccharide binding protein (LBP), and high sensitivity C-reactive protein (hs-CRP)] were measured. Stool sample analysis included short/branched chain fatty acids (S/BCFA) and microbiota composition. RESULTS There was a significant decrease in LBP for participants on the WG (- 0.2 μg/mL, p = 0.02) and FV (- 0.2 μg/mL, p = 0.005) diets, with no change in those on the control diet (0.1 μg/mL, p = 0.08). The FV diet induced a significant change in IL-6 (- 1.5 pg/mL, p = 0.006), but no significant change was observed for the other treatments (control, - 0.009 pg/mL, p = 0.99; WG, - 0.29, p = 0.68). The WG diet resulted in a significant decrease in TNF-α (- 3.7 pg/mL; p < 0.001), whereas no significant effects were found for those on the other diets (control, - 0.6 pg/mL, p = 0.6; FV, - 1.4 pg/mL, p = 0.2). The treatments induced individualized changes in microbiota composition such that treatment group differences were not identified, except for a significant increase in α-diversity in the FV group. The proportions of Clostridiales (Firmicutes phylum) at baseline were correlated with the magnitude of change in LBP during the study. CONCLUSIONS These data demonstrate that WG and FV intake can have positive effects on metabolic health; however, different markers of inflammation were reduced on each diet suggesting that the anti-inflammatory effects were facilitated via different mechanisms. The anti-inflammatory effects were not related to changes in gut microbiota composition during the intervention, but were correlated with microbiota composition at baseline. TRIAL REGISTRATION ClinicalTrials.gov , NCT02602496 , Nov 4, 2017.