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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
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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.
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Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial.
Cho, SMJ, Lee, JH, Shim, JS, Yeom, H, Lee, SJ, Jeon, YW, Kim, HC
Journal of medical Internet research. 2020;22(10):e17435
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Metabolic disorders are established precursors to cardiovascular disease. The aim of the study was to evaluate the longitudinal effect of smartphone-based health care app on metabolic parameters in a sample of the general population with moderate metabolic abnormalities. The study is a single-blind 3-arm parallel-design randomized controlled trial delivering a 6-month primary prevention program via mobile app. One hundred twenty-nine smartphone users, aged between 30-59 years with at least 2 metabolic abnormalities, have been recruited. Results showed that the simultaneous diet/exercise logging and lifestyle coaching yielded greater body weight reduction, specifically via body fat mass reduction. On the other hand, the systolic blood pressure did not change notably between the 3 groups at any follow-up examinations. Authors conclude that future studies focusing on comparative effectiveness using alternative study designs are needed to integrate these apps in everyday lives and clinic practice.
Abstract
BACKGROUND Metabolic disorders are established precursors to cardiovascular diseases, yet they can be readily prevented with sustained lifestyle modifications. OBJECTIVE We assessed the effectiveness of a smartphone-based weight management app on metabolic parameters in adults at high-risk, yet without physician diagnosis nor pharmacological treatment for metabolic syndrome, in a community setting. METHODS In this 3-arm parallel-group, single-blind, randomized controlled trial, we recruited participants aged 30 to 59 years with at least 2 conditions defined by the Third Report of the National Cholesterol Education Program expert panel (abdominal obesity, high blood pressure, high triglycerides, low high-density lipoprotein cholesterol, and high fasting glucose level). Participants were randomly assigned (1:1:1) by block randomization to either the nonuser group (control), the app-based diet and exercise self-logging group (app only), or the app-based self-logging and personalized coaching from professional dieticians and exercise coordinators group (app with personalized coaching). Assessments were performed at baseline, week 6, week 12, and week 24. The primary outcome was change in systolic blood pressure (between baseline and follow-up assessments). Secondary outcomes were changes in diastolic blood pressure, body weight, body fat mass, waist circumference, homeostatic model of assessment of insulin resistance, triglyceride level, and high-density lipoprotein cholesterol level between baseline and follow-up assessments. Analysis was performed using intention-to-treat. RESULTS Between October 28, 2017 and May 28, 2018, 160 participants participated in the baseline screening examination. Participants (129/160, 80.6%) who satisfied the eligibility criteria were assigned to control (n=41), app only (n=45), or app with personalized coaching (n=43) group. In each group, systolic blood pressure showed decreasing trends from baseline (control: mean -10.95, SD 2.09 mmHg; app only: mean -7.29, SD 1.83 mmHg; app with personalized coaching: mean -7.19, SD 1.66 mmHg), yet without significant difference among the groups (app only: P=.19; app with personalized coaching: P=.16). Instead, those in the app with personalized coaching group had greater body weight reductions (control: mean -0.12, SD 0.30 kg; app only: mean -0.35, SD 0.36 kg, P=.67; app with personalized coaching: mean -0.96, SD 0.37 kg; P=.08), specifically by body fat mass reduction (control: mean -0.13, SD 0.34 kg; app only: mean -0.64, SD 0.38 kg, P=.22; app with personalized coaching: mean -0.79, SD 0.38 kg; P=.08). CONCLUSIONS Simultaneous diet and exercise self-logging and persistent lifestyle modification coaching were ineffective in lowering systolic blood pressure but effective in losing weight and reducing body fat mass. These results warrant future implementation studies of similar models of care on a broader scale in the context of primary prevention. TRIAL REGISTRATION ClinicalTrials.gov NCT03300271; http://clinicaltrials.gov/ct2/show/NCT03300271.
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Effect of a lifestyle intervention in obese infertile women on cardiometabolic health and quality of life: A randomized controlled trial.
van Dammen, L, Wekker, V, van Oers, AM, Mutsaerts, MAQ, Painter, RC, Zwinderman, AH, Groen, H, van de Beek, C, Muller Kobold, AC, Kuchenbecker, WKH, et al
PloS one. 2018;13(1):e0190662
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Obesity is linked to increase in cardiovascular and related disease risk factors. The rate of prevalence of obesity in childbearing women is on the increase. Based on these data one of the largest randomised control multicentre Lifestyle study was conducted. The aim of this study was to look into the effects of lifestyle intervention on cardio metabolic risk factors in childbearing obese women. The intervention goal was weight loss of 5-10% within six month. The intervention included caloric restriction and moderate physical activity. The result from the study showed lifestyle intervention among obese infertile women improved cardio metabolic health and also their physical quality of life. The authors concluded that based on data from this study infertile obese women, especially prior to infertility treatment, should be informed of the positive effects of lifestyle intervention of diet and physical activity.
Abstract
BACKGROUND The prevalence of obesity, an important cardiometabolic risk factor, is rising in women. Lifestyle improvements are the first step in treatment of obesity, but the success depends on factors like timing and motivation. Women are especially receptive to advice about lifestyle before and during pregnancy. Therefore, we hypothesize that the pre-pregnancy period provides the perfect window of opportunity to improve cardiometabolic health and quality of life of obese infertile women, by means of a lifestyle intervention. METHODS AND FINDINGS Between 2009-2012, 577 infertile women between 18 and 39 years of age, with a Body Mass Index of ≥ 29 kg/m2, were randomized to a six month lifestyle intervention preceding infertility treatment, or to direct infertility treatment. The goal of the intervention was 5-10% weight loss or a BMI < 29 kg/m2. Cardiometabolic outcomes included weight, waist- and hip circumference, body mass index, systolic and diastolic blood pressure, fasting glucose and insulin, HOMA-IR, hs-CRP, lipids and metabolic syndrome. All outcomes were measured by research nurses at randomization, 3 and 6 months. Self-reported quality of life was also measured at 12 months. Three participants withdrew their informed consent, and 63 participants discontinued the intervention program. Intention to treat analysis was conducted. Mixed effects regression models analyses were performed. Results are displayed as estimated mean differences between intervention and control group. Weight (-3.1 kg 95% CI: -4.0 to -2.2 kg; P < .001), waist circumference (-2.4 cm 95% CI: -3.6 to -1.1 cm; P < .001), hip circumference (-3.0 95% CI: -4.2 to -1.9 cm; P < .001), BMI (-1.2 kg/m2 95% CI: -1.5 to -0.8 kg/m2; P < .001), systolic blood pressure (-2.8 mmHg 95% CI: -5.0 to -0.7 mmHg; P = .01) and HOMA-IR (-0.5 95% CI: -0.8 to -0.1; P = .01) were lower in the intervention group compared to controls. Hs-CRP and lipids did not differ between groups. The odds ratio for metabolic syndrome in the intervention group was 0.53 (95% CI: 0.33 to 0.85; P < .01) compared to controls. Physical QoL scores were higher in the lifestyle intervention group (2.2 95% CI: 0.9 to 3.5; P = .001) while mental QoL scores did not differ. CONCLUSIONS In obese infertile women, a lifestyle intervention prior to infertility treatment improves cardiometabolic health and self-reported physical quality of life (LIFEstyle study: Netherlands Trial Register: NTR1530).