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Effects of exercise intensity on gut microbiome composition and function in people with type 2 diabetes.
Torquati, L, Gajanand, T, Cox, ER, Willis, CRG, Zaugg, J, Keating, SE, Coombes, JS
European journal of sport science. 2023;23(4):530-541
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While it is well known that gut microbiome composition is both inherited and mostly modulated by diet, emerging evidence suggests regular exercise is associated with higher microbial diversity and health promoting taxa. The aim of this study was to examine whether different intensities of exercise exert differential effects on gut microbiome composition and function in low-active people with type 2 diabetes (T2D). This study was a sub-study of the Exercise for Type 2Diabetes (E4D) Study. Fourteen participants volunteered for this sub-study and were randomised into one of the two exercise groups. Results showed that: - in low active people with T2D, moderate intensity, longer duration exercise resulted in increased Bifidobacterium and Escherichia genera, A. municiphila, and butyrate-producing taxa from orders Lachnospirales and Clostridium Cluster IV. - higher intensity exercise also increased butyrate producers, but from different orders (Eryspelothrichales and Oscillospirales), and less investigated species (M.smithii, Negativibacilli spp). - there were no changes in gut microbiome metabolites (short-chain fatty acids). Authors concluded that over an 8-week training intervention, exercise intensity had differing effects on the abundance of specific gut microbiome taxa and function in low active people with T2D.
Abstract
Exercise is positively associated with higher microbial diversity, but there is limited information on exercise intensity's effect on gut microbiome composition and function in clinical populations. This study examines whether different intensities of exercise exert differential effects on gut microbiome composition and function in low active people with type 2 diabetes. This is a sub-study of the Exercise for Type 2 Diabetes Study, a single centre, prospective, randomised controlled trial. Participants (n = 12) completed 8-weeks of combined aerobic and resistance moderate intensity continuous training (C-MICT) or combined aerobic and resistance high-intensity interval training (C-HIIT). Faecal samples were collected before and after intervention to measure gut microbiome composition and metabolic pathways (metagenome shotgun sequencing) and short-chain fatty acids. Post-exercise α-diversity was different between groups as was the relative abundance of specific taxa was (p < .05). Post-exercise relative abundance of Bifidobacterium, A. municiphila, and butyrate-producers Lachnospira eligens, Enterococcus spp., and Clostridium Cluster IV were higher at lower exercise intensity. Other butyrate-producers (from Eryspelothrichales and Oscillospirales), and methane producer Methanobrevibacter smithii were higher at higher exercise intensity. Pyruvate metabolism (ko00620),COG "Cell wall membrane envelope biogenesis" and "Unknown function" pathways were significantly different between groups and higher in C-MICT post-exercise. Differential abundance analysis on KO showed higher expression of Two-component system in C-HIIT. Transcription factors and "unknown metabolism" related pathways decreased in both groups. There were no significant between group changes in faecal short chain fatty acids. Exercise intensity had a distinct effect on gut microbiome abundance and metabolic function, without impacting short-chain fatty acid output.HighlightsEvidence of exercise effect on gut microbiome outcomes is limited to healthy and athletic populationsIn low active people with type 2 diabetes, different exercise intensities increased specific health promoting and butyrate producers species, and showed differentially abundant gut microbiome metabolic pathways.Further investigation is warranted, and if this supports the present findings, then specific exercise intensities may be promoted to target specific species and optimise gut health.
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The effects of the Green-Mediterranean diet on cardiometabolic health are linked to gut microbiome modifications: a randomized controlled trial.
Rinott, E, Meir, AY, Tsaban, G, Zelicha, H, Kaplan, A, Knights, D, Tuohy, K, Scholz, MU, Koren, O, Stampfer, MJ, et al
Genome medicine. 2022;14(1):29
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The Mediterranean (MED) diet, high in nuts, vegetables, and legumes and low in red meat intake, is recommended for the prevention of cardiometabolic diseases. It has been reported that adherence to MED dietary patterns is associated with a distinct gut microbiome profile. The main aim of this study was to investigate the effect of MED-based dietary interventions on the gut microbiome composition and function. This study was focused on the analysis of the DIRECT-PLUS trials’ secondary outcomes, including gut microbiome profile, lipid profile, glycaemic control, inflammatory state, and cardiometabolic risk. All eligible participants were randomised in a 1:1:1 ratio, into one of the three intervention groups: healthy dietary guidelines (HDG), MED, and Green-MED, all combined with physical activity accommodation. Results showed that: - the Green-MED diet [an improved version of the healthy MED diet, with increased consumption of plant-based foods and reduced meat intake] induced a prominent change in the gut microbiome composition, driven by the low-prevalent “non-core” fraction of the gut microbiome. - the MED and Green-MED diets improved cardiometabolic markers. These beneficial changes in levels of cardiometabolic biomarkers were associated with a concurrent shift in the gut microbiome composition. Authors conclude that the Green-MED diet has extensive effects on the composition and function of the host gut microbiome, with the latter partially mediating the beneficial effects of the diet on cardiometabolic health.
Abstract
BACKGROUND Previous studies have linked the Mediterranean diet (MED) with improved cardiometabolic health, showing preliminary evidence for a mediating role of the gut microbiome. We recently suggested the Green-Mediterranean (Green-MED) diet as an improved version of the healthy MED diet, with increased consumption of plant-based foods and reduced meat intake. Here, we investigated the effects of MED interventions on the gut microbiota and cardiometabolic markers, and the interplay between the two, during the initial weight loss phase of the DIRECT-PLUS trial. METHODS In the DIRECT-PLUS study, 294 participants with abdominal obesity/dyslipidemia were prospectively randomized to one of three intervention groups: healthy dietary guidelines (standard science-based nutritional counseling), MED, and Green-MED. Both isocaloric MED and Green-MED groups were supplemented with 28g/day walnuts. The Green-MED group was further provided with daily polyphenol-rich green tea and Mankai aquatic plant (new plant introduced to a western population). Gut microbiota was profiled by 16S rRNA for all stool samples and shotgun sequencing for a select subset of samples. RESULTS Both MED diets induced substantial changes in the community structure of the gut microbiome, with the Green-MED diet leading to more prominent compositional changes, largely driven by the low abundant, "non-core," microorganisms. The Green-MED diet was associated with specific microbial changes, including enrichments in the genus Prevotella and enzymatic functions involved in branched-chain amino acid degradation, and reductions in the genus Bifidobacterium and enzymatic functions responsible for branched-chain amino acid biosynthesis. The MED and Green-MED diets were also associated with stepwise beneficial changes in body weight and cardiometabolic biomarkers, concomitantly with the increased plant intake and reduced meat intake. Furthermore, while the level of adherence to the Green-MED diet and its specific green dietary components was associated with the magnitude of changes in microbiome composition, changes in gut microbial features appeared to mediate the association between adherence to the Green-MED and body weight and cardiometabolic risk reduction. CONCLUSIONS Our findings support a mediating role of the gut microbiome in the beneficial effects of the Green-MED diet enriched with Mankai and green tea on cardiometabolic risk factors. TRIAL REGISTRATION The study was registered on ClinicalTrial.gov ( NCT03020186 ) on January 13, 2017.
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Association between physical activity and changes in intestinal microbiota composition: A systematic review.
Aya, V, Flórez, A, Perez, L, Ramírez, JD
PloS one. 2021;16(2):e0247039
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The human gut flora or microbiota is made up of many different microorganisms, including bacteria, fungi, and viruses. Researchers still find it difficult to clearly define what constitutes a healthy gut flora. This is made more challenging by the fact that the array of microorganisms in the gut are influenced by multiple internal and external factors. Such as diet, sleep, circadian rhythm, age, and physical activity, and they also change with disease. This review sought to gather the current evidence on how physical activity (external factor) impacts the microbial make-up of the gut in healthy humans and the conferred metabolic benefits on the human host. The review included 17 studies with the findings from athletes and exercise intervention programs. Whereby some research demonstrates a consistent beneficial relationship between a favourable microbiota composition and exercise, the authors felt unable to draw a firm conclusion due to the complexity of the microbial system and other influencing factors. The authors called for further, larger scaled studies, that should distinguish between different types of exercise (i.e. endurance and high-intensity training) and age groups, as well as incorporating more information on the subject's diet and lifestyle factors. Of clinical relevance could be the potential of physical activity as a modulator gut microbiome composition.
Abstract
INTRODUCTION The intestinal microbiota comprises bacteria, fungi, archaea, protists, helminths and viruses that symbiotically inhabit the digestive system. To date, research has provided limited data on the possible association between an active lifestyle and a healthy composition of human microbiota. This review was aimed to summarize the results of human studies comparing the microbiome of healthy individuals with different physical activity amounts. METHODS We searched Medline/Ovid, NIH/PubMed, and Academic Search Complete between August-October 2020. Inclusion criteria comprised: (a) cross-sectional studies focused on comparing gut microbiome among subjects with different physical activity levels; (b) studies describing human gut microbiome responses to any type of exercise stimulus; (c) studies containing healthy adult women and men. We excluded studies containing diet modifications, probiotic or prebiotic consumption, as well as studies focused on diabetes, hypertension, cancer, hormonal dysfunction. Methodological quality and risk of bias for each study were assessed using the Risk Of Bias In Non-randomized Studies-of Interventions tool. The results from cross-sectional and longitudinal studies are shown independently. RESULTS A total of 17 articles were eligible for inclusion: ten cross-sectional and seven longitudinal studies. Main outcomes vary significantly according to physical activity amounts in longitudinal studies. We identified discrete changes in diversity indexes and relative abundance of certain bacteria in active people. CONCLUSION As literature in this field is rapidly growing, it is important that studies incorporate diverse methods to evaluate other aspects related to active lifestyles such as sleep and dietary patterns. Exploration of other groups such as viruses, archaea and parasites may lead to a better understanding of gut microbiota adaptation to physical activity and sports and its potentially beneficial effects on host metabolism and endurance.
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Links between metabolic syndrome and the microbiome.
Gildner, TE
Evolution, medicine, and public health. 2020;2020(1):45-46
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Metabolic syndrome (MetS) is a cluster of co-occurring pathological conditions, characterised by insulin resistance, abdominal obesity, hypertension and dyslipidaemia One possible factor contributing to MetS risk is change in microbiome composition. Diets high in processed foods appear to alter microbiome composition in ways that promote higher fat mass and insulin resistance. Additionally, a sedentary lifestyle decreases microbiome diversity, elevating inflammation and metabolic disease risk. Research on how the microbiome responds to modest, attainable changes in diet and physical activity will help identify which dietary adjustments and exercise types have the greatest potential to protect patients from MetS.
Abstract
Metabolic syndrome (MetS) is a cluster of harmful conditions which occur together, such as insulin resistance, abdominal obesity, and hypertension. The global prevalence of MetS is growing rapidly, with some estimates suggesting over one billion people worldwide experience increased morality and disease rates linked with this syndrome. One possible factor contributing to MetS risk is changes in microbiome composition. Approximately 100 trillion bacteria and other microbes reside in the human intestinal tract, collectively termed the gut microbiome. Humans and microbes share a long evolutionary history, with many of these microbes influencing human health outcomes. However, environmental conditions have changed dramatically with human technological innovations; many of these changes (e.g., diets high in processed foods and sedentary lifestyles) appear to impact human-microbe relationships. In general, recent changes in diet and activity patterns have been linked to decreased microbiome diversity, elevating inflammation and metabolic disease risk and likely promoting the development of MetS. Targeting patient diet or exercise patterns may therefore help doctors better treat patients suffering from MetS. Still, additional work is needed to determine how the microbiome responds to changes in patient activity and diet patterns across culturally and biologically diverse human populations.
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Association of the Functional Medicine Model of Care With Patient-Reported Health-Related Quality-of-Life Outcomes.
Beidelschies, M, Alejandro-Rodriguez, M, Ji, X, Lapin, B, Hanaway, P, Rothberg, MB
JAMA network open. 2019;2(10):e1914017
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The functional medicine model of care provides an operating system that works to reverse illness, promote health, and optimize function by addressing underlying causes, symptoms, and functional imbalances in interconnected biological networks. The aim of this study was to investigate the association between the functional medicine model of care and health-related quality of life (HRQoL) by comparing functional medicine with care received in a family medicine setting. The study is a single-centre retrospective cohort study which recruited 7252 new patients. The study evaluated the association of HRQoL in patients receiving functional medicine care vs patients receiving primary care. Results indicate that clients seen at the Centre for Functional Medicine were more likely to experience a clinically meaningful change in their (patient-reported outcome measurement information system and global physical health) scores at 6 months, which was less likely to decrease over time. Authors conclude that the functional medicine model of care may have beneficial and sustainable associations with improved HRQoL in patients as measured by patient-reported outcome measurement information system, global physical health and global mental health scores.
Abstract
Importance: The incidence of chronic disease is increasing along with health care-related costs. The functional medicine model of care provides a unique operating system to reverse illness, promote health, and optimize function. The association between this model of care and patient's health-related quality of life (HRQoL) is unknown. Objective: To assess the association between functional medicine and patient-reported HRQoL using Patient-Reported Outcome Measurement Information System (PROMIS) global health measures. Design, Setting, and Participants: A retrospective cohort study was performed to compare 7252 patients aged 18 years or older treated in a functional medicine setting with propensity score (PS)-matched patients in a primary care setting. Sensitivity analyses assessed improvement limited to patients seen at both 6 and 12 months. The study included patients who visited the Cleveland Clinic Center for Functional Medicine or a Cleveland Clinic family health center between April 1, 2015, and March 1, 2017. Main Outcomes and Measures: The primary outcome was change in PROMIS Global Physical Health (GPH) at 6 months. Secondary outcomes included PROMIS Global Mental Health (GMH) at 6 months and PROMIS GPH and GMH at 12 months. The PROMIS GPH and GMH scores were transformed to a T-score from 0 to 100 with a mean of 50. Higher scores indicate a better health-related quality of life. Results: Of the 7252 patients (functional medicine center: 1595; family health center: 5657), 4780 (65.9%) were women; mean (SD) age was 54.1 (16.0) years. At 6 months, functional medicine patients exhibited significantly larger improvements in PROMIS GPH T-score points than were seen in patients treated at a family health center (mean [SD] change, functional medicine center: 1.59 [6.29] vs family health center: 0.33 [6.09], P = .004 in 398 PS-matched pairs). At 12 months, functional medicine patients showed improvement similar to that observed at 6 months; however, comparisons with patients seen at the family health center were not significant. Patients in the functional medicine center with data at both 6 and 12 months demonstrated improvements in PROMIS GPH (mean [SD], 2.61 [6.53]) that were significantly larger compared with patients seen at a family health center (mean [SD], 0.25 [6.54]) (P = .02 in 91 PS-matched pairs). Conclusions and Relevance: In this study, the functional medicine model of care demonstrated beneficial and sustainable associations with patient-reported HRQoL. Prospective studies are warranted to confirm these findings.
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Effects of Mediterranean Diet and Physical Activity on Pulmonary Function: A Cross-Sectional Analysis in the ILERVAS Project.
Gutiérrez-Carrasquilla, L, Sánchez, E, Hernández, M, Polanco, D, Salas-Salvadó, J, Betriu, À, Gaeta, AM, Carmona, P, Purroy, F, Pamplona, R, et al
Nutrients. 2019;11(2)
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The Mediterranean diet is characterised by an abundant consumption of extra-virgin olive oil, fruits, vegetables, nuts, and legumes, a moderate consumption of fish and seafood, poultry, fermented dairy products, and red wine with meals, and low intakes of sweetened beverages, red meat and ready meals. The aim of the study was to evaluate the association between adherence to a Mediterranean diet and physical activity on pulmonary function in a large middle-aged population at low-to-moderate cardiovascular risk. The study is an ongoing study that between 2015 and 2017 enrolled a total of 3020 subjects – women aged between 50 to 70 years and men aged between 45 to 65 years – with the presence of at least one cardiovascular risk factor. Results indicate that a low adherence to the Mediterranean diet was linked with impaired breathing patterns and higher prevalence of abnormal lung function when compared to participants with a higher adherence to this dietary pattern. Additionally, vigorous physical activity was accompanied by better results in lung function than that observed in inactive subjects. The study provides initial clinical evidence about the independent and deleterious effect of both low adherence to the Mediterranean diet and low physical activity practice on lung function in participants without known pulmonary disease.
Abstract
A few studies showed that both adherence to Mediterranean diet (MedDiet) and physical activity practice have a positive impact on pulmonary function in subjects with lung disease. These associations are not well studied in subjects free from lung disease. In a cross-sectional study conducted in 3020 middle-aged subjects free of lung disease, adherence to the MedDiet using the Mediterranean Diet Adherence Screener, and physical activity practice using the International Physical Activity Questionnaire short form were recorded. Respiratory function was assessed using forced spirometry and the results were evaluated according to the Global initiative for Chronic Obstructive Lung Disease. Logistic regression models were used to analyze the associations between adherence to the MedDiet and physical activity practice with the presence of ventilatory defects. Participants with a high adherence to MedDiet, in comparison to those with low adherence, had both higher forced vital capacity (FVC; 100 (87⁻109) vs. 94 (82⁻105) % of predicted, p = 0.003) and forced expired volume in the first second (FEV1; 100 (89⁻112) vs. 93 (80⁻107) % of predicted, p < 0.001). According to their degree of physical activity, those subjects with a high adherence also had both higher FVC (100 (88⁻107) vs. 94 (83⁻105) % of predicted, p = 0.027) and FEV1 (100 (89⁻110) vs. 95 (84⁻108) % of predicted, p = 0.047) in comparison with those with low adherence. The multivariable logistic regression models showed a significant and independent association between both low adherence to MedDiet and low physical activity practice, and the presence of altered pulmonary patterns, with differences between men and women. However, no joint effect between adherence to MedDiet and physical activity practice on respiratory function values was observed. Low adherence to MedDiet and low physical activity practice were independently associated with pulmonary impairment. Therefore, the lung mechanics seem to benefit from heart-healthy lifestyle behaviors.
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The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level.
Barton, W, Penney, NC, Cronin, O, Garcia-Perez, I, Molloy, MG, Holmes, E, Shanahan, F, Cotter, PD, O'Sullivan, O
Gut. 2018;67(4):625-633
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The human gut microbiome is known to actively influence metabolism, immunity and development. It has been shown that increased physical activity and healthy diet is associated with positive changes in faecal microbial diversity and composition compared with sedentary individuals. The aim of this study was to assess the metabolic activity of the microbiota between extremely active and sedentary individuals. Metabolic and genetic factors of the gut microbiome were analysed in 40 professional rugby players and 46 sedentary controls. This study found significant differences in faecal microbiota between athletes and sedentary controls at the functional metabolic level, providing deeper insight into the link between sustained physical activity and metabolic health. Based on these results, the authors conclude exercise may be an effective way to manipulate the gut microbiome and suggest further controlled trials be done to better understand the relationship between diet, exercise and the gut microbiome.
Abstract
OBJECTIVE It is evident that the gut microbiota and factors that influence its composition and activity effect human metabolic, immunological and developmental processes. We previously reported that extreme physical activity with associated dietary adaptations, such as that pursued by professional athletes, is associated with changes in faecal microbial diversity and composition relative to that of individuals with a more sedentary lifestyle. Here we address the impact of these factors on the functionality/metabolic activity of the microbiota which reveals even greater separation between exercise and a more sedentary state. DESIGN Metabolic phenotyping and functional metagenomic analysis of the gut microbiome of professional international rugby union players (n=40) and controls (n=46) was carried out and results were correlated with lifestyle parameters and clinical measurements (eg, dietary habit and serum creatine kinase, respectively). RESULTS Athletes had relative increases in pathways (eg, amino acid and antibiotic biosynthesis and carbohydrate metabolism) and faecal metabolites (eg, microbial produced short-chain fatty acids (SCFAs) acetate, propionate and butyrate) associated with enhanced muscle turnover (fitness) and overall health when compared with control groups. CONCLUSIONS Differences in faecal microbiota between athletes and sedentary controls show even greater separation at the metagenomic and metabolomic than at compositional levels and provide added insight into the diet-exercise-gut microbiota paradigm.
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Gut Microbial Carbohydrate Metabolism Hinders Weight Loss in Overweight Adults Undergoing Lifestyle Intervention With a Volumetric Diet.
Muñiz Pedrogo, DA, Jensen, MD, Van Dyke, CT, Murray, JA, Woods, JA, Chen, J, Kashyap, PC, Nehra, V
Mayo Clinic proceedings. 2018;93(8):1104-1110
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Recent research suggests that the human gut microbiome has a role to play in the development and maintenance of obesity, by influencing metabolism, fat deposition, brain-hormone signalling and insulin sensitivity. This pilot study of 26 participants, aimed to assess whether the composition and functional aspects of the gut microbiome influence outcomes of a comprehensive weight loss programme in overweight and obese individuals in America. A success criteria of 5% weight loss over a 3 month period was established. Comparisons in the gut microbiome using fecal samples at baseline and at 3 months were made between those successfully achieving the weight loss with those that did not. Achieving the weight loss success criteria was positively associated with the presence of Phascolarctobacterium. In contrast, an increased abundance of Dialister and of genes encoding gut microbial carbohydrate-active enzymes was positively associated with a failure to lose 5% of baseline body weight after 3 months. Interestingly, Phascolarctobacterium and Dialister both belong to the same bacterial family, which suggests that a compositional shift in this family may be responsible for host carbohydrate metabolism and obesity outcomes. This study highlights the potential of influencing the gut microbiome as part of an individualised obesity management programme. However the findings need to be confirmed in a larger, cohort study over a longer duration.
Abstract
The rising incidence of obesity requires the reevaluation of our current therapeutic strategies to optimize patient outcomes. The objective of this study was to determine whether compositional and functional characteristics of the gut microbiota in adults predict responses to a comprehensive lifestyle intervention program in overweight and obese adults. We recruited 26 participants from the Mayo Clinic Obesity Treatment Research Program between August 6, 2013, and September 12, 2013, to participate in a lifestyle intervention program for weight loss. Adults aged 18 to 65 years with a body mass index of 27 to 39.9 kg/m2 and able to provide informed consent were included in the study. Fecal stool samples were obtained at baseline and after 3 months. Loss of at least 5% of baseline weight after 3 months was defined as success. Clinical characteristics and gut microbial composition and function were compared between those who achieved at least 5% and those who achieved less than 5% weight loss. After 3 months, 9 of 26 participants lost at least 5% of their weight. The mean weight loss was 7.89 kg (95% CI, 6.46-9.32 kg) in the success group and 1.51 kg (95% CI, 0.52-2.49 kg) in the less than 5% weight loss group. An increased abundance of Phascolarctobacterium was associated with success. In contrast, an increased abundance of Dialister and of genes encoding gut microbial carbohydrate-active enzymes was associated with failure to lose 5% body weight. A gut microbiota with increased capability for carbohydrate metabolism appears to be associated with decreased weight loss in overweight and obese patients undergoing a lifestyle intervention program.
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Effect of a Protein Supplement on the Gut Microbiota of Endurance Athletes: A Randomized, Controlled, Double-Blind Pilot Study.
Moreno-Pérez, D, Bressa, C, Bailén, M, Hamed-Bousdar, S, Naclerio, F, Carmona, M, Pérez, M, González-Soltero, R, Montalvo-Lominchar, MG, Carabaña, C, et al
Nutrients. 2018;10(3)
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Protein supplements are popular among athletes to improve performance and increase muscle mass. However, their effect on other aspects of health is less well known. Dietary changes can affect gut microbiota balance, with beneficial or harmful consequences for the host. This small pilot study was performed on cross-country runners whose diets were complemented with a protein supplement (whey isolate and beef hydrolysate) or maltodextrin (control) for 10 weeks. Microbiota, water content, pH, ammonia, and short-chain fatty acids (SCFAs) were analysed in faecal samples, and oxidative stress markers were measured in blood plasma and urine. Faecal pH, water content, ammonia, and SCFA concentrations did not change, indicating that protein supplementation did not increase the presence of these metabolites of fermentation. Similarly, it had no impact on plasma or urine malondialdehyde levels. Protein supplementation did however increase the abundance of the Bacteroidetes phylum and decrease the presence of health-related taxa including Roseburia, Blautia, and Bifidobacterium longum. The authors concluded that long-term protein supplementation may have a negative impact on gut microbiota. Further research is needed to establish the impact of protein supplements on gut microbiota.
Expert Review
Conflicts of interest:
None
Take Home Message:
- Long-term protein supplementation may have a negative impact on gut microbiota.
- Further research is needed to establish the impact of protein supplements on gut microbiota and whether there is a differential impact between protein from animal and plant sources.
Evidence Category:
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A: Meta-analyses, position-stands, randomized-controlled trials (RCTs)
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B: Systematic reviews including RCTs of limited number
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C: Non-randomized trials, observational studies, narrative reviews
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D: Case-reports, evidence-based clinical findings
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E: Opinion piece, other
Summary Review:
This is a very interesting study that is relevant to athletic populations.
Clinical practice applications:
Potentially there is a role for probiotics / prebiotics when increasing protein intake (particularly of animal origin) to maintain microbiota diversity and prevent ensuing health complications.
Considerations for future research:
Further, larger scale, research is needed to understand whether the same effect of protein supplementation would be seen with plant-based proteins or whether this is unique to animal based protein supplementation. For example, is the hydrolysation of the proteins to account for the largest effect or could a whole food protein, i.e. not hydrolysed, elicit the same effects?
Also, is this effect seen in other sports, e.g. non-endurance. What about the effect under different conditions e.g. energy deficit vs. energy excess?
Abstract
Nutritional supplements are popular among athletes to improve performance and physical recovery. Protein supplements fulfill this function by improving performance and increasing muscle mass; however, their effect on other organs or systems is less well known. Diet alterations can induce gut microbiota imbalance, with beneficial or deleterious consequences for the host. To test this, we performed a randomized pilot study in cross-country runners whose diets were complemented with a protein supplement (whey isolate and beef hydrolysate) (n = 12) or maltodextrin (control) (n = 12) for 10 weeks. Microbiota, water content, pH, ammonia, and short-chain fatty acids (SCFAs) were analyzed in fecal samples, whereas malondialdehyde levels (oxidative stress marker) were determined in plasma and urine. Fecal pH, water content, ammonia, and SCFA concentrations did not change, indicating that protein supplementation did not increase the presence of these fermentation-derived metabolites. Similarly, it had no impact on plasma or urine malondialdehyde levels; however, it increased the abundance of the Bacteroidetes phylum and decreased the presence of health-related taxa including Roseburia, Blautia, and Bifidobacterium longum. Thus, long-term protein supplementation may have a negative impact on gut microbiota. Further research is needed to establish the impact of protein supplements on gut microbiota.
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Physical exercise, gut, gut microbiota, and atherosclerotic cardiovascular diseases.
Chen, J, Guo, Y, Gui, Y, Xu, D
Lipids in health and disease. 2018;17(1):17
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Cardiovascular diseases (CVD), such as heart attacks and strokes, are the leading cause for mortality worldwide. Many studies have shown beneficial effects of physical exercise on cardiovascular risk factors, such as high cholesterol, high blood pressure, abdominal obesity and diabetes. However, some of the mechanisms, by which these beneficial effects occur, are not well understood. It is believed that gut microbiota, affected by physical exercise, altering the intestinal environment, plays a role. This review paper summarised the current understanding on the effects of physical exercise on CVD, through its effects on the gut microbiota and intestinal function. The authors reviewed animal and human studies looking at how various types of exercise, such as high-intensity interval training (mice), running (rats and mice) and rugby (humans), affect diversity and distribution of microbes, metabolites produced by microbiota, intestinal wall integrity and systemic inflammation. Based on the reviewed papers, the authors concluded that, although further research is warranted, many studies confirm the premise that physical exercise can prevent CVD through modifying gut microbiota and alleviating systemic inflammation.
Abstract
Arteriosclerotic cardiovascular diseases (ASCVDs) are the leading cause of morbidity and mortality worldwide and its risk can be independently decreased by regular physical activity. Recently, ASCVD and its risk factors were found to be impacted by the gut microbiota through its diversity, distribution and metabolites. Meanwhile, several experiments demonstrated the relationship between physical exercise and diversity, distribution, metabolite of the gut microbiota as well as its functions on the lipid metabolism and chronic systematic inflammation. In this review, we summarize the current knowledge on the effects of physical exercise on ASCVD through modulation of the gut microbiota and intestinal function.