The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level
Open accessAbstract
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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- Findingown data
The impact of the athletes' increased protein intake compared to both control groups was evident in the metabolomic phenotyping results.
“The impact of the athletes' increased protein intake compared to both control groups was evident in the metabolomic phenotyping results.”
Quote in the paperNot a substantial claim - Findingown data
Of 19,300 taxonomically linked metabolic pathways, 98 were significantly altered between the three cohorts (p < 0.05).
“of the total 19,300 pathways, 98 were significantly altered between the three cohorts (p < 0.05)”
Quote in the paperSubstantial claim - Findingcitation
Athletes have an enriched profile of SCFAs, previously associated with numerous health benefits and a lean phenotype.
“Furthermore, athletes have an enriched profile of SCFAs, previously associated with numerous health benefits and a lean phenotype.[33][34][35]”
Quote in the paperSubstantial claim0 of 3 sources checked - Findingown data
The relative abundances of pathways related to amino acid biosynthesis, vitamin biosynthesis, and lipid biosynthesis were higher on average within the high BMI control group when compared to the athlete group.
“The relative abundances of pathways related to fundamental metabolic function-amino acid biosynthesis, vitamin biosynthesis, and lipid biosynthesis-were higher on average within the high BMI control group when compared to the athlete group.”
Quote in the paperSubstantial claim - Findingown data
From a functional perspective, the microbiota of the low BMI group was more similar to the athletes.
“Notably, from a functional perspective, the microbiota of the low BMI group was more similar to the athletes.”
Quote in the paperSubstantial claim
- Findingown data
Comparing athletes to both high and low BMI controls, a greater number of pathways correlating to specific macronutrients with the controls suggests a shift in the dynamics of these varied metabolic functions.
“Comparing athletes to both high and low BMI controls, a greater number of pathways correlating to specific macronutrients with the controls suggests a shift in the dynamics of these varied metabolic functions.”
Quote in the paperSubstantial claim - Findingown data
All SCFAs associated with considerably more pathways in athletes versus controls.
“SCFAs were also correlated with pathway relative abundances, with all SCFAs associating with considerably more pathways in the athletes versus the controls (Fig. 4C).”
Quote in the paperSubstantial claim - Findingown data
Beta-alanine betaine was higher in both faecal and urine samples of athletes.
“Beta-alanine betaine was higher in both faecal and urine samples of athletes.”
Quote in the paperNot a substantial claim - Findingown data
The high BMI control group had the lowest average abundance scores across 31 metabolic pathway categories, with exceptions of Vitamin Biosynthesis, Lipid Biosynthesis, and Amino Acid Biosynthesis.
“with the high BMI control group having the lowest average abundance scores across 31 metabolic pathway categories (the exceptions being Vitamin Biosynthesis (VB), Lipid Biosynthesis (LB), and Amino Acid Biosynthesis (AAB) categories).”
Quote in the paperSubstantial claim - Findingown data
The athlete group had the highest mean abundance across 29 of the 34 metabolic categories.
“The athlete group had the highest mean abundance across 29 of the 34 metabolic categories”
Quote in the paperSubstantial claim - Findingown data
7,948 statistically significant (p < 0.05) correlations between metabolic pathways and SCFAs were identified.
“Multiple statistically significant (7,948) (p < 0.05) correlations between the metabolic pathways and SCFAs were identified (Supplementary Table 8).”
Quote in the paperNot a substantial claim - Findingown data
The microbiota of athletes was significantly more diverse than that of both low and high BMI control groups at the functional level.
“Consistent with previous results, the microbiota of the athletes were significantly more diverse than that of both the low and high BMI control groups at the functional level (Fig. 2A).”
Quote in the paperSubstantial claim - Findingown data
Isobutyrate and isovalerate did not differ significantly between groups.
“Isobutyrate and isovalerate did not differ significantly between the groups (Fig. 4B, Supplementary Table 5).”
Quote in the paperNot a substantial claim - Findingown data
Numerous statistically significant associations were identified between pathway abundances and serum creatine kinase, total bilirubin, and dietary macronutrient intake.
“Numerous statistically significant (p < 0.05) associations were identified between pathway abundances and serum Creatine Kinase-an enzymatic marker of muscle activity (CK, IU/L), total bilirubin (IU/L) and dietary macronutrient intake”
Quote in the paperNot a substantial claim - Findingown data
Athletes had significantly higher proportions of metabolic pathways associated with Akkermansia compared to high BMI controls (p < 0.001).
“our previous findings of an enrichment of Akkermansia in athletes was corroborated by the presence of significantly higher proportions of metabolic pathways associated with this genus in athletes when compared to high BMI controls (p < 0.001).”
Quote in the paperSubstantial claim - Findingown data
CV-OPLS-DA models show strong differences between athletes and controls in urine samples by 1H-NMR, HILIC UPLC-MS positive, and RP UPLC-MS positive and negative modes.
“The cross-validated (CV) OPLS-DA models show strong differences between athletes and controls in urine samples by proton nuclear magnetic resonance ( 1 H-NMR) analysis (R 2 Y=0.86, Q 2 Y=0.60, Fig. 2C), hydrophilic interaction ultra-performance liquid chromatography mass spectroscopy (HILIC UPLC-MS) positive mode analysis (R 2 Y=0.85, Q 2 Y=0.74, Supplementary Fig. 2A) and reverse phase ultra-perf”
Quote in the paperSubstantial claim - Findingreasoning
The low BMI controls were generally engaged in a modestly active lifestyle, reflected by their leanness and increased levels of CK.
“The low BMI controls were generally engaged in a modestly active-lifestyle, reflected by their leanness and increased levels of CK.”
Quote in the paperNot a substantial claim - Findingown data
Athletes had relative increases in pathways such as amino acid and antibiotic biosynthesis and carbohydrate metabolism compared to controls.
“Athletes had relative increases in pathways (e.g.amino acid and antibiotic biosynthesis and carbohydrate metabolism)”
Quote in the paperSubstantial claim - Findingown data
The functional/metabolic activity of the microbiota reveals even greater separation between exercise and a more sedentary state than compositional analysis.
“Differences in faecal microbiota between athletes and sedentary controls show even greater separation at the metagenomic and metabolomics than at compositional levels”
Quote in the paperSubstantial claim - Findingown data
Athletes excreted proportionately higher levels of TMAO, an end product metabolite of dietary protein degradation.
“It was noted that athletes excreted proportionately higher levels of the metabolite TMAO, an end product metabolite of dietary protein degradation.”
Quote in the paperNot a substantial claim - Findingown data
Athletes had relative increases in faecal metabolites such as SCFAs acetate, propionate, and butyrate compared to controls.
“faecal metabolites (e.g.microbial produced short chain fatty acids [SCFAs] acetate, propionate, and butyrate)”
Quote in the paperSubstantial claim - Findingown data
Sixteen genera correlated with 12 metabolites.
“It was also observed that 16 genera correlated with 12 metabolites (Supplementary Table 9).”
Quote in the paperNot a substantial claim - Findingnone given
The results confirm enhancement of microbial diversity in athletes compared with controls.
“The results confirm enhancement of microbial diversity in athletes compared with controls.”
Quote in the paperSubstantial claim - Findingown data
Additional correlations of metabolic pathways against well-identified metabolites detected from faecal water and urine presented numerous significant associations (6,186 and 13,412, respectively; p < 0.05).
“Additional correlations of metabolic pathways against well-identified metabolites detected from both faecal water (Fig. 5A and 5C) and urine (Fig. 5B and 5D) presented numerous significant associations (6,186 and 13,412, respectively; data not shown) (p < 0.05).”
Quote in the paperNot a substantial claim - Findingnone given
Metabolites derived from vitamins and recovery supplements common in professional sports, including glutamine, lysine, 4-pyridoxic acid, and nicotinamide, are also raised in the athlete group.
“Metabolites derived from vitamins and recovery supplements common in professional sports, including glutamine, lysine, 4-pyridoxic acid, and nicotinamide, are also raised in the athlete group.”
Quote in the paperNot a substantial claim - Findingown data
Microbial metabolic pathway composition varies significantly among the three groups (Adonis PERMANOVA p<0.05).
“Groups show significant variation from one another (Adonis PERMANOVA p < 0.05).”
Quote in the paperSubstantial claim - Findingown data
Faecal concentrations of acetate, propionate, butyrate and valerate are significantly higher in athletes than in controls.
“Quantitative analysis of SCFAs in faecal samples shows significant increase in measured concentrations of acetate, propionate, butyrate, and valerate in athletes.”
Quote in the paperSubstantial claim - Findingown data
OPLS-DA models show robust separation between athletes and controls.
“OPLS-DA displays robust separation between athletes and controls.”
Quote in the paperSubstantial claim - Findingcitation
PAG is increased in athletes.
“It is notable that PAG-a microbial conversion product of phenylalanine-has been associated with a lean phenotype, and is increased in the athletes.[42]”
Quote in the paperNot a substantial claim - Findingown data
A number of microbial metabolic pathways are significantly correlated with dietary constituents and blood serum metabolites (Benjamini-Hochberg corrected p<0.05).
“Number of metabolic pathways significantly (Benjamini-Hochberg corrected p < 0.05) correlated with dietary constituents and blood serum metabolites.”
Quote in the paperNot a substantial claim - Findingown data
Numerous metabolites associated with muscle turnover-creatine, 3-methylhistidine, and L-valine-and host metabolism-carnitine-are elevated in the athlete groups.
“Numerous metabolites associated with muscle turnover-creatine, 3methylhistidine, and L-valine-and host metabolism-carnitine-are elevated in the athlete groups.”
Quote in the paperSubstantial claim - Findingown data
Microbial metabolic pathway diversity is higher in the athlete group than in the low-BMI and high-BMI control groups.
“Pathway diversity is increased in the athlete group when compared to low BMI and high BMI controls.”
Quote in the paperSubstantial claim - Interpretationcitation
Increased number of detected SCFA pathways in athletes along with higher fibre intake would be conducive to an enhanced rate of SCFA production.
“This along with an increased number of detected SCFA pathways in the athletes would be conducive to an enhanced rate of SCFA production [36]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] source
Not checked in the free run.
- Interpretationown data
The authors' examination of pathway correlation to dietary macronutrients and plasma CK is suggestive of an impact of physical activity upon the utilization of dietary nutrients by the microbiota of the gut.
“Remarkably, our examination of pathway correlation to dietary macronutrients and plasma CK, as a biomarker of exercise, [39] is suggestive of an impact of physical activity upon the utilization of dietary nutrients by the microbiota of the gut.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] source
Not checked in the free run.
- Interpretationreasoning
This study has extended the paradigm to include links between physical fitness and the functional potential of the gut microbiota and its metabolites.
“this study has extended the paradigm to include links between physical fitness and the functional potential of the gut microbiota and its metabolites.”
Quote in the paperNot a substantial claim - Premisecitation
TMAO is also found in high levels in the urine of Japanese populations, who do not have high risk for CVD.
“However, TMAO is also found in high levels in the urine of Japanese populations, [38] who do not have high risk for CVD.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] source
Not checked in the free run.
- Premisecitation
The athletes' diet maintained significantly higher quantities of fibre intake.
“as previously presented, the athletes' diet maintained significantly higher quantities of fibre intake [29].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Rankin A , O'Donavon C , Madigan SM , et al . ‘Microbes in sport’—the potential role of the gut microbiota in athlete health and performance. Br J Sports Med. Published Online First 25 January 2017. doi:10.1136/bjsports-2016-097227 source
Not checked in the free run.
- Premisecitation
In a previous study, the authors found taxonomic differences in gut microbiota between elite rugby players and age-matched high- and low-BMI controls.
“Previously, using 16S rRNA amplicon sequencing, we demonstrated taxonomic differences in gut microbiota between an elite athlete cohort of international-level rugby players and a group of age-matched high (>28 kg/m 2 ) and low (<25 kg/m 2 ) BMI controls.[26]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] source
Not checked in the free run.
- Interpretationown data
The two groups displayed distinct structures of functional capacity, separately oriented to operate under different physiological milieu of the two groups.
“The two groups displayed distinct structures of functional capacity, separately oriented to operate under the different physiological milieu of the two groups.”
Quote in the paperSubstantial claim - Interpretationown data
Athletes have a faecal short-chain fatty acid profile that differs from that of controls.
“Athletes display a profile of Short Chain Fatty Acids that alters from that of the controls.”
Quote in the paperSubstantial claim
- May combine two claims. 21
- Classified as probably not a substantial claim. 8
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataAthletes' 1H-NMR metabolic phenotypes were characterised by higher levels of TMAO, L-carnitine, dimethylglycine, O-acetyl carnitine, proline betaine, creatinine, acetoacetate, 3-hydroxyisovaleric acid, acetone, N-methylnicotinate, N-methylnicotinamide, PAG, and 3-methylhistidine in urine, and higher levels of propionate, acetate, butyrate, TMA, lysine, and methylamine in faecal samples, relative t
“Athletes' 1 H-NMR metabolic phenotypes were characterised by higher levels of trimethylamine-N-oxide (TMAO), L-carnitine, dimethylglycine, O-acetyl carnitine, proline betaine, creatinine, acetoacetate, 3-hydroxyisovaleric acid, acetone, N-methylnicotinate, N-methylnicotinamide, phenylacetylglutamine (PAG) and 3-methylhistidine in urine samples and higher levels of propionate, acetate, butyrate, tr”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationAthletes have an increased abundance of pathways that could be exploited by the host for potential health benefit, including biosynthesis of organic cofactors and antibiotics, as well as carbohydrate degradation and secondary metabolite metabolism, compared to both control groups.
“Athletes have an increased abundance of pathways that-giving an equivalent amount of expression activity-could be exploited by the host for potential health benefit, including biosynthesis of organic cofactors and antibiotics, as well as carbohydrate degradation and secondary metabolite metabolism compared to both control groups.[32]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] source
Not checked in the free run.
May combine two claims.
Findingown dataSeparation according to group membership was illustrated through PCoA, with significant separation between athletes and both control groups (p < 0.05).
“Separation according to group membership was further illustrated through Principal Coordinate Analysis (PCoA), with statistical support of the significant separation between the athletes and both control groups (p < 0.05) (Fig. 2B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRoseburia was positively correlated with acetate (p = 0.004) and butyrate (p = 0.018), while Family XIII Incertae Sedis was positively correlated with isobutyrate (p < 0.001), isovaleric acid (p < 0.001), and valeric acid (p = 0.008).
“Roseburia was positively correlated with acetate (p = 0.004) and butyrate (p = 0.018) while Family XIII Incertae Sedis was positively correlated with isobutyrate (p < 0.001), isovaleric acid (p < 0.001) and valeric acid (p = 0.008)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataConcentrations of propionate strongly correlated to protein intake while butyrate had a strong association with intake of dietary fibre.
“Furthermore, concentrations of propionate strongly correlated to protein intake while butyrate was shown to have a strong association with intake of dietary fibre (Supplementary Table 6).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCV-OPLS-DA models comparing faecal samples reveal significant differences between athletes and controls by 1H-NMR and HILIC UPLC-MS positive mode, although weaker than urine models.
“Likewise, the CV-OPLS-DA models comparing faecal samples, although weaker than the urine models, reveal significant differences between athletes and controls by 1 H-NMR analysis (R 2 Y=0.86, Q 2 Y=0.52, Fig. 2D) and HILIC UPLC-MS positive mode analysis (R 2 Y=0.65, Q 2 Y=0.34, Supplementary Fig 2D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataLarge-scale functional dissimilarity between athletes and controls was determined and distinct patterns of pathway composition between groups were revealed.
“Subsequently, large-scale functional dissimilarity between athletes and controls was determined and distinct patterns of pathway composition between groups were revealed”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSCFA levels in faeces measured by targeted GC-MS showed significantly higher levels of acetate (p < 0.001), propionate (p < 0.001), butyrate (p < 0.001), and valerate (p = 0.011) in athletes relative to controls.
“SCFA levels in faeces measured by targeted GC-MS showed significantly higher levels of acetate (p < 0.001), propionate (p < 0.001), butyrate (p < 0.001) and valerate (p = 0.011) in athletes relative to controls.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBy-products of dietary protein metabolism including TMAO, carnitines, trimethylamine, CMPF, and 3-hydroxy-isovaleric acid are all elevated in the athlete cohort.
“By-products of dietary protein metabolism (mostly by microbes) including TMAO, carnitines, trimethylamine, 3-Carboxy-4-methyl-5-propyl-2-furanpropionic acid, and 3-hydroxy-isovaleric acid are all elevated in the athlete cohort.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEach group was represented by distinct association profiles between clinical measurements and metagenomic pathways; dietary factors provided majority of correlation for control groups whereas athlete group was predominantly correlated with CK, total bilirubin, and total energy intake.
“Each group was represented by distinct association profiles of the correlation between clinical measurements and metagenomic pathways.Dietary factors, sugars and other carbohydrates, as well as energy intake, provide the majority of the correlation for the control groups whereas the athlete group was predominantly correlated with CK, total bilirubin, and total energy intake.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThe athletes' diet contained a significantly greater proportion of fish.
“Similarly to these populations, the athletes' diet contained a significantly greater proportion of fish.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTwo distinct blocks of proportionately discriminant correlations were observed with isobutyric and isovaleric acids, which were more abundant in athletes, while acetic and butyric acids were more proportionately abundant in controls.
“Two distinct blocks of proportionately discriminant correlations were observed with isobutyric and isovaleric acids, which were more abundant in the athletes while acetic and butyric acids were more proportionately abundant in controls.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAthletes had lower levels of glycerate, allantoin, and succinate in urine and lower levels of glycine and tyrosine in faecal samples relative to controls.
“Athletes were further characterised by lower levels of glycerate, allantoin and succinate and lower levels of glycine and tyrosine relative to controls in urine and faecal samples, respectively (Supplementary Table 3).”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationThe same clusters are observed when correlating with individual taxa, in support of previously observed links between SCFAs and numerous metabolic benefits and a lean phenotype.
“The same clusters are observed when correlating with individual taxa, in support of previously observed links between SCFAs and numerous metabolic benefits and a lean phenotype.[33][34][35]”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Findingown dataPathway diversity differs significantly between low-BMI controls and athletes (p<0.049), and diversity differs significantly across all three groups (Kruskal-Wallis p<0.05).
“Diversity measures are statistically significant between low BMI and athletes (p < 0.049), with statistical significance between all groups (Kruskal Wallis p < 0.05).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPAG positively correlates with the genus Erysipelotrichaceae Incertae Sedis, which the authors have previously noted to be present in relatively higher proportions in the athlete group compared to both control groups.
“Furthermore, PAG positively correlates with the genus Erysipelotrichaceae Incertae Sedis, which we have previously noted to be present in relatively higher proportions in the athlete group compared to both control groups.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataBacterial taxa at family, genus and species level correlate with faecal short-chain fatty acid levels (Spearman's correlation, p<0.01).
“Heat map of bacterial taxa (family, genus, and species level) that correlate with faecal short-chain fatty acid levels using Spearman's correlation.”
- Also stated in: § Additional information · plain
“All taxa shown had a correlation p-value < 0.01.”
Quote in the paperNot a substantial claim- Also stated in: § Additional information · plain
May combine two claims.
Findingown dataWithin SCFAs, two distinct clusters were observed; acetic acid, propionic acid and butyric acid correlate with dietary contributors (fibre and protein), while isobutyric acid, isovaleric acid and valeric acid correlate with microbial diversity.
“Within the SCFAs, two distinct clusters were observed; acetic acid, propionic acid and butyric acid correlate with dietary contributors (fibre and protein), while isobutyric acid, isovaleric acid and valeric acid correlate with microbial diversity.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThese increases are associated with enhanced muscle turnover (fitness) and overall health.
“associated with enhanced muscle turnover (fitness) and overall health when compared to control groups.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationElevated TMAO has been observed in patients with cardiovascular disease and atherosclerosis, highlighting a potential downside to increased protein intake.
“Elevated TMAO has been observed in patients with cardiovascular disease and atherosclerosis, highlighting a potential downside to increased protein intake.[15-17,22, 37]”
Quote in the paperNot a substantial claim0 of 5 sources checked- cites [15] source
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- cites [16] source
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- cites [17] Tang, 2017, Microbiome, trimethylamine N-oxide, and cardiometabolic disease, Transl Res source
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- cites [22] source
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- cites [37] source
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May combine two claims.
Interpretationown dataThe athlete microbiome presents a functional capacity that is primed for tissue repair and to harness energy from the diet with increased capacity for carbohydrate, cell structure and nucleotide biosynthesis, reflecting the significant energy demands and high cell-turnover evident in elite sport.
“On the contrary, the athlete microbiome presents a functional capacity that is primed for tissue repair and to harness energy from the diet with increased capacity for carbohydrate, cell structure and nucleotide biosynthesis, reflecting the significant energy demands and high cell-turnover evident in elite sport.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataParticipants made no report of gastrointestinal distress or alterations of GI transit time throughout the course of the initial study.
“Participants made no report of gastrointestinal (GI) distress or alterations of GI transit time throughout the course of the initial study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenApproval for this study was granted by the Cork Clinical Research Ethics Committee.
“Approval for this study was granted by the Cork Clinical Research Ethics Committee.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation3-hydroxy-isovaleric acid has been demonstrated to have efficacy for inhibiting muscle wasting when used in conjunction with physical exercise.
“3-hydroxy-isovaleric acid (potentially from egg consumption) which has been demonstrated to have efficacy for inhibiting muscle wasting when used in conjunction of physical exercise.[40]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [40] Stratton, 2006, Lymphocyte propionyl-CoA carboxylase and its activation by biotin are sensitive indicators of marginal biotin deficiency in humans, Am J Clin Nutr source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductcitationAll reported p values were corrected for multiple comparisons using the Benjamini-Hochberg false discovery rate method.
“All presented p values were corrected for multiple comparisons using the Benjamini-Hochberg False Discovery Rate (pFDR) method.[47]”
- Also stated in: § Metabolic profiling · plain
“P-values were adjusted for multiple testing using the Benjamini-Hochberg False Discovery Rate (pFDR) method.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] source
Not checked in the free run.
- Also stated in: § Metabolic profiling · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPAG has been associated with a lean phenotype.
“It is notable that PAG-a microbial conversion product of phenylalanine-has been associated with a lean phenotype, and is increased in the athletes.[42]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe compound 3-hydroxy-isovaleric acid is commonly used as a supplement by athletes to increase exercise-induced gains in muscle size, muscle strength, and lean body mass, reduce exercise-induced muscle damage, and speed recovery from high-intensity exercise.
“The compound is also commonly used as a supplement by athletes to increase exercise-induced gains in muscle size, muscle strength, and lean body mass, reduce exercise-induced muscle damage, and speed recovery from highintensity exercise.[41]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] source
Not checked in the free run.
The paper relies on this without support.
The control participants are representative of a more sedentary lifestyle than the athletes.
“The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These findings support a role for Akkermansia muciniphila in metabolic regulation.
“These findings support the role of A muciniphila in metabolic regulation.”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [110]
Levels of short-chain fatty acids were significantly higher in athletes compared with controls.
“For example, levels of SCFAs were significantly higher in athletes compared with controls,”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [110]
Among species differing between athletes and controls, Akkermansia muciniphila was enriched by 16S rRNA and metagenomic sequencing and metabolic pathway analysis.
“Among the individual species that differed between athletes and controls, A muciniphila was found to be enriched by 16s rRNA and metagenomic sequencing analyses, as well as in the metabolic pathway analysis.”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [110]
Elite professional rugby players had a more diverse gut microbiome than controls.
“The athletes were found to have a more diverse gut microbiome than the controls.”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [110]
A high-fiber diet and exercise are associated with greater gut microbiota diversity and short-chain fatty acid enrichment, both linked to improved survival after immune checkpoint blockade.
“A high-fiber diet and exercise are associated with increased diversity of the gut microbiota and enrichment of short chain fatty acids (SCFAs), both of which have been implicated in improved survival following treatment with ICB”
From Hallmarks of response, resistance, and toxicity to immune checkpoint blockade (2021) · cites this paper as Barton et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Glutamine is reported as both lower and higher in athletes
MinorThe results say urinary glutamine was lower in athletes than in controls, but the discussion lists glutamine among metabolites raised in athletes.
“Levels of glutamine, 7methylxanthine, imidazoleacetic acid, isoquinoline / quinolone were lower in athletes' urinary samples relative to controls.”
“Metabolites derived from vitamins and recovery supplements common in professional sports, including glutamine, lysine, 4-pyridoxic acid, and nicotinamide, are also raised in the athlete group.”
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444 · see citing works
From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites
Koh, A., De Vadder, F., Kovatcheva-Datchary, P., & Bäckhed, F. (2016) · Cell · doi:10.1016/j.cell.2016.05.041 · Cited by 7,070 · see citing works
Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597 · see citing works
Sumner, L. W., Amberg, A., Barrett, D., Beale, M. H., Beger, R., Daykin, C. A., Fan, T. W.-M., Fiehn, O., Goodacre, R., Griffin, J. L., et al. (2007) · Metabolomics · doi:10.1007/s11306-007-0082-2 · Cited by 5,368 · see citing works
den Besten, G., van Eunen, K., Groen, A. K., Venema, K., Reijngoud, D.-J., & Bakker, B. M. (2013) · Journal of Lipid Research · doi:10.1194/jlr.r036012 · Cited by 5,048 · see citing works
Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis
Koeth, R. A., Wang, Z., Levison, B. S., Buffa, J. A., Org, E., Sheehy, B. T., Britt, E. B., Fu, X., Wu, Y., Li, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3145 · Cited by 4,386 · see citing works
Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788 · see citing works
Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk
Tang, W. H. W., Wang, Z., Levison, B. S., Koeth, R. A., Britt, E. B., Fu, X., Wu, Y., & Hazen, S. L. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1109400 · Cited by 3,402 · see citing works
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395 · see citing works
Biswas, A., Oh, P. I., Faulkner, G. E., Bajaj, R. R., Silver, M. A., Mitchell, M. S., & Alter, D. A. (2015) · Annals of Internal Medicine · doi:10.7326/m14-1651 · Cited by 2,726 · see citing works
Microbial degradation of complex carbohydrates in the gut
Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P., & Forano, E. (2012) · Gut Microbes · doi:10.4161/gmic.19897 · Cited by 2,331 · see citing works
Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
Zhernakova, A., Kurilshikov, A., Bonder, M. J., Tigchelaar, E. F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A. V., Falony, G., Vieira-Silva, S., et al. (2016) · Science · doi:10.1126/science.aad3369 · Cited by 1,914 · see citing works
Wilmot, E. G., Edwardson, C. L., Achana, F. A., Davies, M. J., Gorely, T., Gray, L. J., Khunti, K., Yates, T., & Biddle, S. J. H. (2012) · Diabetologia · doi:10.1007/s00125-012-2677-z · Cited by 1,789 · see citing works
Exercise and associated dietary extremes impact on gut microbial diversity
Clarke, S. F., Murphy, E. F., O'Sullivan, O., Lucey, A. J., Humphreys, M., Hogan, A., Hayes, P., O'Reilly, M., Jeffery, I. B., Wood-Martin, R., et al. (2014) · Gut · doi:10.1136/gutjnl-2013-306541 · Cited by 1,439 · see citing works
Self-citationCaspi, R., Altman, T., Billington, R., Dreher, K., Foerster, H., Fulcher, C. A., Holland, T. A., Keseler, I. M., Kothari, A., Kubo, A., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1103 · Cited by 1,204 · see citing works
Global metabolic profiling procedures for urine using UPLC–MS
Want, E. J., Wilson, I. D., Gika, H., Theodoridis, G. A., Plumb, R. S., Shockcor, J. P., Holmes, E. C., & Nicholson, J. K. (2010) · Nature Protocols · doi:10.1038/nprot.2010.50 · Cited by 1,180 · see citing works
Self-citationBennett, B. J., Vallim, T. Q. D. A., Wang, Z., Shih, D. M., Meng, Y., Gregory, J., Allayee, H., Lee, R., Graham, M., Crooke, R., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2012.12.011 · Cited by 1,070 · see citing works
Human metabolic phenotype diversity and its association with diet and blood pressure
Holmes, E., Loo, R. L., Stamler, J., Bictash, M., Yap, I. K. S., Chan, Q., Ebbels, T., De Iorio, M., Brown, I. J., Veselkov, K. A., et al. (2008) · Nature · doi:10.1038/nature06882 · Cited by 1,054 · see citing works
Self-citationMetabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
Abubucker, S., Segata, N., Goll, J. B., Schubert, A. M., Izard, J., Cantarel, B. L., Rodriguez-Mueller, B., Zucker, J., Thiagarajan, M., Henrissat, B., et al. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002358 · Cited by 1,050 · see citing works
Cloarec, O., Dumas, M., Craig, A., Barton, R. H., Trygg, J., Hudson, J., Blancher, C., Gauguier, D., Lindon, J. C., Holmes, E. C., et al. (2005) · Analytical Chemistry · doi:10.1021/ac048630x · Cited by 912 · see citing works
Self-citationA meta-analytic review of the effects of exercise on brain-derived neurotrophic factor
Szuhany, K. L., Bugatti, M., & Otto, M. W. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.10.003 · Cited by 909 · see citing works
Understanding the role of gut microbiome–host metabolic signal disruption in health and disease
Holmes, E., Li, J. V., Athanasiou, T., Ashrafian, H., & Nicholson, J. K. (2011) · Trends in Microbiology · doi:10.1016/j.tim.2011.05.006 · Cited by 541 · see citing works
Self-citationDona, A. C., Jiménez, B., Schäfer, H., Humpfer, E., Spraul, M., Lewis, M. R., Pearce, J. T. M., Holmes, E., Lindon, J. C., & Nicholson, J. K. (2014) · Analytical Chemistry · doi:10.1021/ac5025039 · Cited by 540 · see citing works
Self-citationEstaki, M., Pither, J., Baumeister, P., Little, J. P., Gill, S. K., Ghosh, S., Ahmadi-Vand, Z., Marsden, K. R., & Gibson, D. L. (2016) · Microbiome · doi:10.1186/s40168-016-0189-7 · Cited by 476 · see citing works
Exercise as an anti-inflammatory therapy for rheumatic diseases—Myokine regulation
Benatti, F. B., & Pedersen, B. K. (2015) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2014.193 · Cited by 474 · see citing works
Validity and repeatability of the EPIC-Norfolk Physical Activity Questionnaire
Wareham, N. J., Jakes, R. W., Rennie, K. L., Mitchell, J., Hennings, S., & Day, N. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.1.168 · Cited by 436 · see citing works
Physical Activity Improves Symptoms in Irritable Bowel Syndrome: A Randomized Controlled Trial
Johannesson, E., Simrén, M., Strid, H., Bajor, A., & Sadik, R. (2011) · American Journal of Gastroenterology · doi:10.1038/ajg.2010.480 · Cited by 431 · see citing works
Butyrate modulates oxidative stress in the colonic mucosa of healthy humans
Hamer, H. M., Jonkers, D. M. A. E., Bast, A., Vanhoutvin, S. A. L. W., Fischer, M. A. J. G., Kodde, A., Troost, F. J., Venema, K., & Brummer, R.-J. M. (2009) · Clinical Nutrition · doi:10.1016/j.clnu.2008.11.002 · Cited by 400 · see citing works
Wilson, G. J., Wilson, J. M., & Manninen, A. H. (2008) · Nutrition & Metabolism · doi:10.1186/1743-7075-5-1 · Cited by 306 · see citing works
Exercise induction of gut microbiota modifications in obese, non-obese and hypertensive rats
Petriz, B. A., Castro, A. P., Almeida, J. A., Gomes, C. P., Fernandes, G. R., Kruger, R. H., Pereira, R. W., & Franco, O. L. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-511 · Cited by 293 · see citing works
Garcı́a-Villalba, R., Giménez‐Bastida, J. A., García‐Conesa, M., Tomás-Barberán, F. A., Espı́n, J. C., & Larrosa, M. (2012) · Journal of Separation Science · doi:10.1002/jssc.201101121 · Cited by 291 · see citing works
Veselkov, K., Karstens, L., Masson, P., Robinette, S. L., Want, E. J., Li, J. V., Barton, R. H., Boursier-Neyret, C., Walther, B., Ebbels, T. M. D., et al. (2011) · Analytical Chemistry · doi:10.1021/ac201065j · Cited by 267 · see citing works
Self-citationSchwingshackl, L., Missbach, B., Dias, S., König, J., & Hoffmann, G. (2014) · Diabetologia · doi:10.1007/s00125-014-3303-z · Cited by 264 · see citing works
Clostridium ramosum Promotes High-Fat Diet-Induced Obesity in Gnotobiotic Mouse Models
Woting, A., Pfeiffer, N., Loh, G., Klaus, S., & Blaut, M. (2014) · mBio · doi:10.1128/mbio.01530-14 · Cited by 224 · see citing works
Mechanisms Linking the Gut Microbiome and Glucose Metabolism
Utzschneider, K. M., Kratz, M., Damman, C. J., & Hullarg, M. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-4251 · Cited by 223 · see citing works
Sarafian, M. H., Lewis, M. R., Pechlivanis, A., Ralphs, S., McPhail, M. J. W., Patel, V., Dumas, M., Holmes, E. C., & Nicholson, J. K. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b01556 · Cited by 215 · see citing works
Self-citationRyan, S. M., & Nolan, Y. M. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.12.004 · Cited by 191 · see citing works
Body mass index, physical activity, and colorectal cancer by anatomical subsites
Robsahm, T. E., Aagnes, B., Hjartåker, A., Langseth, H., Bray, F., & Larsen, I. K. (2013) · European Journal of Cancer Prevention · doi:10.1097/cej.0b013e328360f434 · Cited by 176 · see citing works
O’Sullivan, Ó., Cronin, O., Clarke, S. F., Murphy, E. F., Molloy, M., Shanahan, F., & Cotter, P. D. (2015) · Gut Microbes · doi:10.1080/19490976.2015.1011875 · Cited by 168 · see citing works
Self-citationMicrobiome, trimethylamine N-oxide, and cardiometabolic disease
Tang, W. H. W., & Hazen, S. L. (2017) · Translational Research · doi:10.1016/j.trsl.2016.07.007 · Cited by 160 · see citing works
Monitoring of serum enzymes in sport
Brancaccio, P., Limongelli, F. M., & Maffulli, N. (2006) · British Journal of Sports Medicine · doi:10.1136/bjsm.2005.020719 · Cited by 128 · see citing works
Relationship Between Sedentary Behavior and Cardiovascular Risk
Same, R. V., Feldman, D. I., Shah, N. P., Martin, S. S., Rifai, M. A., Blaha, M. J., Graham, G. N., & Ahmed, H. M. (2015) · Current Cardiology Reports · doi:10.1007/s11886-015-0678-5 · Cited by 109 · see citing works
Chen, Y., Tu, Y., Huang, K., Chen, P., Chu, D.-C., & Lee, Y. L. (2014) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201401-0097oc · Cited by 96 · see citing works
Hoffman‐Goetz, L., Pervaiz, N., Packer, N. H., & Guan, J. (2010) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2010.05.001 · Cited by 80 · see citing works
Posma, J. M., García‐Pérez, I., Iorio, M. D., Lindon, J. C., Elliott, P., Holmes, E. C., Ebbels, T. M. D., & Nicholson, J. K. (2012) · Analytical Chemistry · doi:10.1021/ac302360v · Cited by 75 · see citing works
Self-citationExercise, fitness, and the gut
Cronin, O., Molloy, M. G., & Shanahan, F. (2016) · Current Opinion in Gastroenterology · doi:10.1097/mog.0000000000000240 · Cited by 47 · see citing works
Self-citationWilliams, N. C., Johnson, M. A., Shaw, D. E., Spendlove, I., Vulevic, J., Sharpe, G. R., & Hunter, K. A. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002762 · Cited by 47 · see citing works
Maffetone, P. B., & Laursen, P. B. (2016) · Sports Medicine - Open · doi:10.1186/s40798-016-0048-x · Cited by 46 · see citing works
Gut microbiota: implications for sports and exercise medicine
Cronin, O., O’Sullivan, Ó., Barton, W., Cotter, P. D., Molloy, M. G., & Shanahan, F. (2017) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-097225 · Cited by 40 · see citing works
Self-citation‘Microbes in sport’ – The potential role of the gut microbiota in athlete health and performance
Rankin, A., O’Donavon, C., Madigan, S. M., O’Sullivan, O., & Cotter, P. D. (2017) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-097227 · Cited by 38 · see citing works
Self-citationStratton, S. L., Bogusiewicz, A., Mock, M. M., Mock, N. I., Wells, A. M., & Mock, D. M. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.2.384 · Cited by 26 · see citing works
Stratton, S. L., Bogusiewicz, A., Mock, M. M., Mock, N. I., Wells, A. M., & Mock, D. M. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.1.384 · Cited by 24 · see citing works
Harkin, A. (2014) · New England Journal of Medicine · doi:10.1056/nejmcibr1411568 · Cited by 19 · see citing works
Hawley, J. A., & Krook, A. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.201 · Cited by 6 · see citing works
The metabolic role of the microbiota
Barton, W., Shanahan, F., Cotter, P. D., & O’Sullivan, Ó. (2015) · Clinical Liver Disease · doi:10.1002/cld.455 · Cited by 3 · see citing works
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Hallmarks of response, resistance, and toxicity to immune checkpoint blockade
Morad, G., Helmink, B. A., Sharma, P., & Wargo, J. A. (2021) · Cell · doi:10.1016/j.cell.2021.09.020 · Cited by 1,648 · see citing works
The compelling link between physical activity and the body's defense system
Nieman, D. C., & Wentz, L. M. (2019) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2018.09.009 · Cited by 1,340 · see citing works
“Although research in this area is emerging, recent studies indicate that exercise and physical fitness diversifies the gut microbiota, enhancing the number of benign microbial communities.(142,143) The underlying mechanisms are still being explored, with no clear consensus, in part owing to confounding from diet, exer…”
BackgroundThe Human Gut Microbiome: From Association to Modulation
Schmidt, T. S. B., Raes, J., & Bork, P. (2018) · Cell · doi:10.1016/j.cell.2018.02.044 · Cited by 845 · see citing works
“, 2017), and physical exercise (Barton et al., 2017; Clarke et al., 2014; Petersen et al., 2017) have been linked to microbiome composition but were not among the top-ranking covariates in recent population studies.”
Exercise alters gut microbiota composition and function in lean and obese humans
ALLEN, J. M., MAILING, L. J., NIEMIRO, G. M., MOORE, R., COOK, M. D., WHITE, B. A., HOLSCHER, H. D., & WOODS, J. A. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001495 · Cited by 820 · see citing works
“Considering the findings presented here and previous cross-sectional studies (12,13), we postulate that an exercise-induced increase towards a greater SCFAproducing capacity may represent a beneficial adaptation, ultimately contributing to enhanced replenishment of expended calories and improvements in body compositio…”
BackgroundInfluence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer
Song, M., Chan, A. T., & Sun, J. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.06.048 · Cited by 752 · see citing works
Health and disease markers correlate with gut microbiome composition across thousands of people
Manor, O., Dai, C. L., Kornilov, S. A., Smith, B., Price, N. D., Lovejoy, J. C., Gibbons, S. M., & Magis, A. T. (2020) · Nature Communications · doi:10.1038/s41467-020-18871-1 · Cited by 810 · see citing works
Short-chain fatty acids as potential regulators of skeletal muscle metabolism and function
Frampton, J. E., Murphy, K. G., Frost, G. S., & Chambers, E. S. (2020) · Nature Metabolism · doi:10.1038/s42255-020-0188-7 · Cited by 532 · see citing works
Mailing, L. J., Allen, J. M., Buford, T. W., Fields, C. J., & Woods, J. A. (2019) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000183 · Cited by 521 · see citing works
“, (60) Crosssectional Professional rugby players (n = 40) and sedentary controls with low BMI (n = 22) or high BMI (n = 24) n/a Rugby players consumed significantly more protein and total energy Rugby players had increased amino acid and antibiotic biosynthesis, carbohydrate metabolism, and increased fecal SCFAs compa…”
BackgroundGut Microbiome Fermentation Determines the Efficacy of Exercise for Diabetes Prevention
Liu, Y., Wang, Y., Ni, Y., Cheung, C. K. Y., Lam, K. S. L., Wang, Y., Xia, Z., Ye, D., Guo, J., Tse, M. A., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.001 · Cited by 405 · see citing works
Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia
Ticinesi, A., Nouvenne, A., Cerundolo, N., Catania, P., Prati, B., Tana, C., & Meschi, T. (2019) · Nutrients · doi:10.3390/nu11071633 · Cited by 418 · see citing works
Ticinesi, A., Lauretani, F., Milani, C., Nouvenne, A., Tana, C., Del Rio, D., Maggio, M., Ventura, M., & Meschi, T. (2017) · Nutrients · doi:10.3390/nu9121303 · Cited by 401 · see citing works
Akkermansia muciniphila in the Human Gastrointestinal Tract: When, Where, and How?
Geerlings, S. Y., Kostopoulos, I., de Vos, W. M., & Belzer, C. (2018) · Microorganisms · doi:10.3390/microorganisms6030075 · Cited by 452 · see citing works
“Moreover, the genus Akkermansia and its metabolic pathways were found to be enriched in athletes with a low body mass index [18,19].”
BackgroundMohr, A. E., Jäger, R., Carpenter, K. C., Kerksick, C. M., Purpura, M., Townsend, J. R., West, N. P., Black, K., Gleeson, M., Pyne, D. B., et al. (2020) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-020-00353-w · Cited by 378 · see citing works
“[13] re-examined the microbiota in these participants using whole metagenome shotgun sequencing to provide deeper insight into taxonomic composition and metabolic potential.”
BackgroundMethodInfluentialEnvironmental Factors, Gut Microbiota, and Colorectal Cancer Prevention
Song, M., & Chan, A. T. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.07.012 · Cited by 355 · see citing works
Microbiome and colorectal cancer: Roles in carcinogenesis and clinical potential
Saus, E., Iraola‐Guzmán, S., Willis, J. R., Brunet‐Vega, A., & Gabaldón, T. (2019) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2019.05.001 · Cited by 348 · see citing works
“, 2016), lifestyle (Barton et al., 2018) or diet (Zhernakova et al.”
BackgroundDantzer, R., Cohen, S., Russo, S. J., & Dinan, T. G. (2018) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2018.08.010 · Cited by 313 · see citing works
Community characteristics of the gut microbiomes of competitive cyclists
Petersen, L. M., Bautista, E. J., Nguyen, H., Hanson, B. M., Chen, L., Lek, S. H., Sodergren, E., & Weinstock, G. M. (2017) · Microbiome · doi:10.1186/s40168-017-0320-4 · Cited by 377 · see citing works
“mWGS analysis further revealed that the gut microbiomes of these rugby players were enriched for pathways involved in amino acid biosynthesis, carbohydrate metabolism, and short-chain fatty acid (SCFA) synthesis [15].”
MethodGut reactions: Breaking down xenobiotic–microbiome interactions
Clarke, G., Sandhu, K. V., Griffin, B. T., Dinan, T. G., Cryan, J. F., & Hyland, N. P. (2019) · Pharmacological Reviews · doi:10.1124/pr.118.015768 · Cited by 319 · see citing works
“…in detail elsewhere, such as diet (Portune et al., 2017; Sandhu et al., 2017; Shanahan et al., 2017), exercise (Campbell and Wisniewski, 2017; Barton et al., 2018), geographical location (Dikongue and Segurel, 2017; Quigley, 2017), host genetics (Kurilshikov et al., 2017), and the experience…”
BackgroundPotential benefits and risks of omega-3 fatty acids supplementation to patients with COVID-19
Rogero, M., Leão, M. D. C., Santana, T. M., Pimentel, M. V. D. M. B., Carlini, G. C., Silveira, T. F. D. D., Gonçalves, R. C., & Castro, I. A. (2020) · Free Radical Biology & Medicine · doi:10.1016/j.freeradbiomed.2020.07.005 · Cited by 293 · see citing works
Hou, H., Chen, D., Zhang, K., Zhang, W., Liu, T., Wang, S., Dai, X., Wang, B., Zhong, W., & Cao, H. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.11.027 · Cited by 270 · see citing works
From gut microbiota to host appetite: gut microbiota-derived metabolites as key regulators
Han, H., Yi, B., Zhong, R., Wang, M., Zhang, S., Ma, J., Yin, Y., Yin, J., Chen, L., & Zhang, H. (2021) · Microbiome · doi:10.1186/s40168-021-01093-y · Cited by 292 · see citing works
International Society of Sports Nutrition Position Stand: Probiotics
Jäger, R., Mohr, A. E., Carpenter, K. C., Kerksick, C. M., Purpura, M., Moussa, A., Townsend, J. R., Lamprecht, M., West, N. P., Black, K., et al. (2019) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-019-0329-0 · Cited by 277 · see citing works
Vallianou, N. G., Christodoulatos, G. S., Karampela, Ι., Tsilingiris, D., Magkos, F., Stratigou, T., Kounatidis, D. C., & Dalamaga, Μ. (2021) · Biomolecules · doi:10.3390/biom12010056 · Cited by 299 · see citing works
Egan, B., & Sharples, A. P. (2023) · Physiological Reviews · doi:10.1152/physrev.00054.2021 · Cited by 278 · see citing works
The Role of Gut Microbiota in Intestinal Inflammation with Respect to Diet and Extrinsic Stressors
Lobionda, S., Sittipo, P., Kwon, H. Y., & Lee, Y. K. (2019) · Microorganisms · doi:10.3390/microorganisms7080271 · Cited by 319 · see citing works
“In addition, athletes also showed increase of SCFAs, potentially reducing the risk of intestinal inflammation [100].”
BackgroundNitrate-responsive oral microbiome modulates nitric oxide homeostasis and blood pressure in humans
Vanhatalo, A., Blackwell, J. R., L’Heureux, J. E., Williams, D. W., Smith, A., van der Giezen, M., Winyard, P. G., Kelly, J., & Jones, A. M. (2018) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.05.078 · Cited by 256 · see citing works
“Physical exercise and diet are emerging as powerful modulators of the gut microbiota [1] and it is intuitive that the microbiota in the oral cavity, the uppermost section of the alimentary canal, may also vary according to age, diet, and with physical activity levels.”
BackgroundExercise influence on the microbiome–gut–brain axis
Dalton, A., Mermier, C. M., & Zuhl, M. (2019) · Gut Microbes · doi:10.1080/19490976.2018.1562268 · Cited by 261 · see citing works
“In a follow-up study, the same group of researchers confirmed the microbial diversity among elite rugby athletes compared to nonactive, age-matched control and again demonstrated higher levels of Akkermansia.99 The researchers also performed metabolomic phenotyping of the microbiome to further understand the differenc…”
BackgroundInfluentialInterplay Between Exercise and Gut Microbiome in the Context of Human Health and Performance
Clauss, M., Gérard, P., Mosca, A., & Leclerc, M. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.637010 · Cited by 295 · see citing works
“Finally, butyrate-producing taxa as well as SCFA production have been consistently shown to increase in response to exercise (61, 73), while the majority of studies also showed increased α-diversity following exercise.”
BackgroundCronin, O., Barton, W., Skuse, P., Penney, N. C., Garcia-Perez, I., Murphy, E. F., Woods, T., Nugent, H., Fanning, A., Melgar, S., et al. (2018) · mSystems · doi:10.1128/msystems.00044-18 · Cited by 232 · see citing works
“Building on previous work (11, 12), the present study sought to interrogate correlations between the gut microbiome and levels of physical activity and protein consumption.”
Self-citationPredictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences
Mallick, H., Franzosa, E. A., Mclver, L. J., Banerjee, S., Sirota‐Madi, A., Kostic, A. D., Clish, C. B., Vlamakis, H. C., Xavier, R. J., & Huttenhower, C. (2019) · Nature Communications · doi:10.1038/s41467-019-10927-1 · Cited by 279 · see citing works
“Eight genera were significantly over-abundant in the MelonnPan gene list, with the strongest effects observed among Pseudoflavonifractor, Clostridium, Coprococcus, Anaerotruncus, Blautia, Collinsella, Ruminococcus, and Anaerostipes (statistically significant GSEA result with Q 0.25, Fig.”
BackgroundInfluentialJang, L.-G., Choi, G., Kim, S.-W., Kim, B.-Y., Lee, S., & Park, H. (2019) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-019-0290-y · Cited by 224 · see citing works
“Discussion There are several reports regarding the effects of various nutrients and diet patterns on human gut microbiota [23, 44, 45] but, recently, physical exercise was disclosed as yet another factor affecting the composition, diversity, and metabolic activity of the gut microbiota [15, 17, 18].”
BackgroundWegierska, A. E., Charitos, I. A., Topi, S., Potenza, M. A., Montagnani, M., & Santacroce, L. (2022) · Sports Medicine · doi:10.1007/s40279-022-01696-x · Cited by 239 · see citing works
“Similarly, in another study on rugby players and matched controls, BMI values were inversely correlated with fecal SCFAs and the microbial metabolite trimethylamine N-oxide (TMAO), suggesting that the microbiota composition of rugby athletes was characterized by an increased presence of gut bacteria with high biosynth…”
ResultGut Microbiota Resilience: Definition, Link to Health and Strategies for Intervention
Dogra, S. K., Dore, J. M., & Damak, S. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.572921 · Cited by 197 · see citing works
Resistance mechanisms to immune checkpoint inhibitors: updated insights
Al-Saafeen, B. H., Ali, B. R., & Elkord, E. (2025) · Molecular Cancer · doi:10.1186/s12943-024-02212-7 · Cited by 207 · see citing works
“For example, high-fiber diet and exercise were linked to beneficial responses to ICIs due to their ability to increase the diversity of gut microbiome and induce the enrichment of short chain fatty acids [238–240].”
Strategies to Prevent Sarcopenia in the Aging Process: Role of Protein Intake and Exercise
Rogeri, P. S., Zanella, R., Martins, G. L., Garcia, M. D. A., Leite, G., Lugaresi, R., Gasparini, S. O., Sperandio, G. A., Ferreira, L. H. B., Souza-Junior, T. P., et al. (2021) · Nutrients · doi:10.3390/nu14010052 · Cited by 181 · see citing works
Diet and exercise in NAFLD/NASH: Beyond the obvious
Semmler, G., Datz, C., Reiberger, T., & Trauner, M. A. (2021) · Liver International · doi:10.1111/liv.15024 · Cited by 183 · see citing works
Response of Gut Microbiota to Metabolite Changes Induced by Endurance Exercise
Zhao, X., Zhang, Z., Hu, B., Huang, W. M., Yuan, C., & Zou, L. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00765 · Cited by 205 · see citing works
“Moreover, they found a significantly higher abundance of the bacterial genus Akkermansia and the enhancement of GM-derived SCFAs within the athletes (Clarke et al., 2014; Barton et al., 2017).”
BackgroundMetabolomics, physical activity, exercise and health: A review of the current evidence
Kelly, R. S., Kelly, M. P., & Kelly, P. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2020.165936 · Cited by 179 · see citing works
Martinez, J. E., Kahana, D. D., Ghuman, S., Wilson, H. P., Wilson, J. B., Kim, S. C. J., Lagishetty, V., Jacobs, J. P., Sinha‐Hikim, A. P., & Friedman, T. C. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.667066 · Cited by 233 · see citing works
Lai, Z.-L., Tseng, C.-H., Ho, H. J., Cheung, C., Lin, J.-Y., Chen, Y., Cheng, F.-C., Hsu, Y., Lin, J., El-Omar, E. M., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-33893-y · Cited by 192 · see citing works
Codella, R., Luzi, L., & Terruzzi, I. (2018) · Digestive and Liver Disease · doi:10.1016/j.dld.2017.11.016 · Cited by 158 · see citing works
Strasser, B., Wolters, M., Weyh, C., Krüger, K., & Ticinesi, A. (2021) · Nutrients · doi:10.3390/nu13062045 · Cited by 181 · see citing works
“Studies in professional athletes showed that a high physical exercise level [104,105] is associated with a higher α-diversity of the gut microbiota compared to controls.”
BackgroundThe human gut microbiome and aging
Bradley, E. S., & Haran, J. P. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2359677 · Cited by 186 · see citing works
“41 The gut microbiome may also be able to determine how an individual responds to a physical activity-based intervention, in a study of 39 individuals with pre-diabetes, response to the intervention in terms of fasting blood glucose was associated shifts in microbial taxa and metabolic pathways,…”
BackgroundNardone, O. M., de Sire, R., Petito, V., Testa, A., Villani, G., Scaldaferri, F., & Castiglione, F. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.694217 · Cited by 157 · see citing works
Felizardo, R. J. F., Watanabe, I. K. M., Dardi, P., Rossoni, L. V., & Câmara, N. O. S. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.01.019 · Cited by 176 · see citing works
Li, H., Sun, J., Du, J., Wang, F., Fang, R., Yu, C., Xiong, J., Chen, W., Lu, Z., & Liu, J. (2017) · Neurogastroenterology & Motility · doi:10.1111/nmo.13260 · Cited by 185 · see citing works
Hughes, R., & Holscher, H. D. (2021) · Advances in Nutrition · doi:10.1093/advances/nmab077 · Cited by 198 · see citing works
“TMAO and PAG are associated with increased risk of cardiovascular disease and adverse outcomes in cardiovascular disease patients (73, 74) and are elevated in athletes versus sedentary controls, potentially resulting from increased protein intake (75).”
BackgroundExamining the healthy human microbiome concept
Joos, R., Boucher, K., Lavelle, A., Arumugam, M., Blaser, M. J., Claesson, M. J., Clarke, G. A., Cotter, P. D., Sordi, L. D., Domínguez-Bello, M. G., et al. (2024) · Nature Reviews Microbiology · doi:10.1038/s41579-024-01107-0 · Cited by 178 · see citing works
“Overly narrow criteria may exclude healthy individuals (for example, athletes with higher body mass index (BMI) 36 ) and may include controls in preclinical stages of various health conditions 37–39 .”
Self-citationGut microbiota and hypertension: association, mechanisms and treatment
Yang, Z., Wang, Q., Liu, Y., Wang, L., Ge, Z., Li, Z., Feng, S., & Wu, C. (2023) · Clinical and Experimental Hypertension · doi:10.1080/10641963.2023.2195135 · Cited by 170 · see citing works
“Compared with sedentary people, the levels of SCFAs in athletes are relatively increased (112).”
BackgroundGut-Muscle Axis Exists and May Affect Skeletal Muscle Adaptation to Training
Przewłócka, K., Folwarski, M., Kaźmierczak-Siedlecka, K., Skonieczna‐Żydecka, K., & Kaczor, J. J. (2020) · Nutrients · doi:10.3390/nu12051451 · Cited by 163 · see citing works
“The microbiome of various athletes has been correlated with high diversity and increased levels of bacterial genes involved in protein and carbohydrate metabolism and SCFAs production [31,32].”
BackgroundFeeding the microbiota: Transducer of nutrient signals for the host
Shanahan, F., van Sinderen, D., O’Toole, P. W., & Stanton, C. (2017) · Gut · doi:10.1136/gutjnl-2017-313872 · Cited by 157 · see citing works
“…factors under one’s control and within the scope of common sense include: a diversified diet, limited use of processed foods, avoidance of prolonged restricted diets, consumption of adequate dietary fibre, exercise 95 and moderation in all respects are all supported by modern microbiome science.”
BackgroundSelf-citationZhang, Y., Wu, Y. Q., Liu, X.-F., Chen, X., & Su, J. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102196 · Cited by 153 · see citing works
Exercise Induces Tissue-Specific Adaptations to Enhance Cardiometabolic Health
Ashcroft, S. P., Stocks, B., Egan, B., & Zierath, J. R. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2023.12.008 · Cited by 149 · see citing works
Membrez, M., Migliavacca, E., Christen, S., Yaku, K., Trieu, J., Lee, A. K., Morandini, F., Giner, M. P., Stiner, J., Makarov, M. V., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-00997-x · Cited by 148 · see citing works
“1d) that is synthesized by several plant species 4 and is also a metabolite produced by the gut microbiome and endogenous metabolism in humans 29,30 .”
BackgroundGut Microbiota, Probiotics and Physical Performance in Athletes and Physically Active Individuals
Marttinen, M., Ala‐Jaakkola, R., Laitila, A., & Lehtinen, M. J. (2020) · Nutrients · doi:10.3390/nu12102936 · Cited by 176 · see citing works
“Differences between rugby players and sedentary controls were also detected in the microbial metabolism level, with increased amino acid and carbohydrate metabolism pathway activity detected in athletes [30].”
BackgroundInfluentialDistinct microbiome composition and metabolome exists across subgroups of elite Irish athletes
O’Donovan, C. M., Madigan, S. M., Garcia-Perez, I., Rankin, A., O’ Sullivan, O., & Cotter, P. D. (2020) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2019.08.290 · Cited by 133 · see citing works
Self-citationCaprara, G. (2021) · Nutrients · doi:10.3390/nu13020429 · Cited by 143 · see citing works
Sohail, M. U., Yassine, H. M., Sohail, A., & Thani, A. A. A. (2019) · Review of Diabetic Studies · doi:10.1900/rds.2019.15.35 · Cited by 128 · see citing works
“Lifestyle and physical activity may act as important factors to reshape gut microbiome and immunological responses [6], and provide the opportunity to influence disease development by therapeutic measures.”
BackgroundAya, V., Flórez, A., Perez, L., & Ramírez, J. D. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247039 · Cited by 158 · see citing works
The Gut Microbiome of Heart Failure With Preserved Ejection Fraction
Beale, A. L., O’Donnell, J. A., Nakai, M. E., Nanayakkara, S., Vizi, D., Carter, K., Dean, E., Ribeiro, R. V., Yiallourou, S. R., Carrington, M. J., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.020654 · Cited by 143 · see citing works
“…contribution to obesity and insulin resistance, 29 diabetes mellitus with impacts on diabetic control, 30 interplay with physical inactivity, 31 and aforementioned roles in hypertension 8,9 ; increased levels of regulatory T cells with fiber and SCFA administration 9 ; enhanced systemic…”
The role of the gut microbiota in health and cardiovascular diseases
Wang, L., Wang, S., Zhang, Q., He, C., Fu, C., & Wei, Q. (2022) · Molecular Biomedicine · doi:10.1186/s43556-022-00091-2 · Cited by 124 · see citing works
Intestinal Microbiota: A Novel Target to Improve Anti-Tumor Treatment?
Villéger, R., Lopès, A., Carrier, G., Véziant, J., Billard, E., Barnich, N., Gagnière, J., Vazeille, E., & Bonnet, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184584 · Cited by 119 · see citing works
A Review of the Role of the Gut Microbiome in Personalized Sports Nutrition
Hughes, R. (2020) · Frontiers in Nutrition · doi:10.3389/fnut.2019.00191 · Cited by 141 · see citing works
“Bacterial taxa commonly shown to respond to exercise training include Lactobacillus (typically increased) (58, 60, 62, 68), Bifidobacterium (typically increased) (58, 62, 76, 82), Proteobacteria (typically decreased) (58, 65, 66, 68, 76), Akkermansia (typically increased) (19, 75, 76, 79, 82), Streptococcus (variable…”
BackgroundInfluentialHuang, W.-C., Lee, M.-C., Lee, C.-C., Ng, K.-S., Hsu, Y.-J., Tsai, T.-Y., Young, S., Lin, J.-S., & Huang, C.-C. (2019) · Nutrients · doi:10.3390/nu11112836 · Cited by 126 · see citing works
“Exercise promotes energy, harvesting [9] the gut microbiota ferments complex dietary polysaccharides into short chain fatty acids (SCFAs), which can be used as an energy source for liver and muscle cells and improves endurance performance by maintaining blood glucose for a long period of time.”
BackgroundLifestyle and Metabolic Syndrome: Contribution of the Endocannabinoidome
Marzo, V. D., & Silvestri, C. (2019) · Nutrients · doi:10.3390/nu11081956 · Cited by 135 · see citing works
Four men in a boat: Ultra-endurance exercise alters the gut microbiome
Keohane, D. M., Woods, T., O’Connor, P., Underwood, S., Cronin, O., Whiston, R., O'Sullivan, O., Cotter, P., Shanahan, F., & Molloy, M. G. M. (2019) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2019.04.004 · Cited by 113 · see citing works
Self-citationToward an improved definition of a healthy microbiome for healthy aging
Ghosh, T. S., Shanahan, F., & O’Toole, P. W. (2022) · Nature Aging · doi:10.1038/s43587-022-00306-9 · Cited by 128 · see citing works
Self-citationMutual Interactions among Exercise, Sport Supplements and Microbiota
Zeppa, S. D., Agostini, D., Gervasi, M., Annibalini, G., Amatori, S., Ferrini, F., Sisti, D., Piccoli, G., Barbieri, E., Sestili, P., et al. (2019) · Nutrients · doi:10.3390/nu12010017 · Cited by 122 · see citing works
“[84] Humans 86 (n = 40–46/group) Professional rugby players vs.”
BackgroundInfluence of Exercise on the Human Gut Microbiota of Healthy Adults: A Systematic Review
Ortiz-Alvarez, L., Xu, H., & Martínez‐Téllez, B. (2020) · Clinical and Translational Gastroenterology · doi:10.14309/ctg.0000000000000126 · Cited by 146 · see citing works
Kern, T., Blond, M. B., Hansen, T. H., Rosenkilde, M., Quist, J. S., Gram, A. S., Ekstrøm, C. T., Hansen, T., & Stallknecht, B. (2020) · International Journal of Obesity · doi:10.1038/s41366-019-0440-y · Cited by 130 · see citing works
“In consistency with our findings of a general upregulation of the inferred metabolic potential with exercise, professional rugby players have been reported to have a greater genetic functional potential compared with sedentary participants with overweight or obesity [27], but as discussed below this might be secondary…”
BackgroundA correlation between intestinal microbiota dysbiosis and osteoarthritis
Szychlinska, M. A., Rosa, M. D., Castorina, A., Mobasheri, A., & Musumeci, G. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e01134 · Cited by 111 · see citing works
Prokopidis, K., Chambers, E. S., Lochlainn, M. N., & Witard, O. C. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.770455 · Cited by 109 · see citing works
Inchingolo, A. D., Malcangi, G., Inchingolo, A. M., Piras, F., Settanni, V., Garofoli, G., Palmieri, G., Ceci, S., Patano, A., Leonardis, N. D., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23074027 · Cited by 102 · see citing works
The Effects of Dietary Pattern during Intensified Training on Stool Microbiota of Elite Race Walkers
Murtaza, N., Burke, L. M., Vlahovich, N., Charlesson, B., O’ Neill, H., Ross, M. L., Campbell, K. L., Krause, L., & Morrison, M. (2019) · Nutrients · doi:10.3390/nu11020261 · Cited by 96 · see citing works
“More recently, metagenomic and metabolomics analyses of these same cohorts have shown that the gut microbiota of rugby players were enriched for pathways involved in amino acid and carbohydrate metabolism and possessed greater amounts of faecal short-chain fatty acids (SCFA) as compared to the sedentary controls [6].”
BackgroundProbiotics in Fish Nutrition—Long-Standing Household Remedy or Native Nutraceuticals?
Wuertz, S., Schroeder, A., & Wanka, K. M. (2021) · Water · doi:10.3390/w13101348 · Cited by 94
“Indeed, several studies have reported increased microbial diversity in athletes compared to non-athletes [155,156].”
BackgroundHigarza, S. G., Arboleya, S., Arias, J. L., Gueimonde, M., & Arias, N. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1880240 · Cited by 104 · see citing works
“described that athletes showed a higher diversity of gut microorganisms, an observation also supported by other studies.(19,20) In the brain, studies in elderly people have shown that exercise increases hippocampal volume and enhances hippocampus-dependent learning and memory.”
ResultGut microbiome catabolites as novel modulators of muscle cell glucose metabolism
Houghton, M. J., Kerimi, A., Mouly, V., Tumova, S., & Williamson, G. (2019) · The FASEB Journal · doi:10.1096/fj.201801209r · Cited by 92 · see citing works
“Further, the gut microbiome has a profound influence on inflammatory states (8) and on metabolism during exercise (9); as such, trained athletes have a distinctly different microbiome compared to sedentary individuals (10).”
BackgroundImpact of Different Exercise Modalities on the Human Gut Microbiome
Bycura, D. K., Santos, A. C., Shiffer, A., Kyman, S., Winfree, K. N., Sutliffe, J. T., Pearson, T., Sonderegger, D. L., Cope, E. K., & Caporaso, J. G. (2021) · Sports · doi:10.3390/sports9020014 · Cited by 105 · see citing works
“For example, it is highly likely that athletes harbor distinct microbiome compositions than less active individuals based on several cross-sectional studies [30,42], but at this point we do not know how long it takes for stable differences in the microbiome to emerge from exercise.”
BackgroundRoles of the gut microbiome in weight management
Carmody, R. N., & Bisanz, J. E. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-023-00888-0 · Cited by 105 · see citing works
Intestinal permeability disturbances: causes, diseases and therapy
Macura, B., Kiecka, A., & Szczepanik, M. (2024) · Clinical and Experimental Medicine · doi:10.1007/s10238-024-01496-9 · Cited by 99 · see citing works
“It is also well known that physical activity can increase the diversity of intestinal microbiota, enhance SCFA production and stimulate anti-inflammatory mechanisms, mainly aerobic exercises, such as running, cycling, fitness exercises [86, 156, 157].”
BackgroundNay, K., Smiles, W. J., Kaiser, J., McAloon, L. M., Loh, K., Galić, S., Oakhill, J. S., Gundlach, A. L., & Scott, J. W. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22084052 · Cited by 108 · see citing works
“As mentioned, exercise increases the relative abundance of taxa-producing SCFAs, in particular butyrate [127,146,147].”
BackgroundInoue, T., Kobayashi, Y., Mori, N., Sakagawa, M., Xiao, J., Moritani, T., Sakane, N., & Nagai, N. (2018) · Beneficial Microbes · doi:10.3920/bm2017.0193 · Cited by 114 · see citing works
Vijay, A., Kouraki, A., Gohir, S., Turnbull, J., Kelly, A., Chapman, V., Barrett, D. A., Bulsiewicz, W. J., & Valdes, A. M. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1997559 · Cited by 93 · see citing works
Lee, M., Hsu, Y.-J., Ho, H.-H., Hsieh, S., Kuo, Y., Sung, H., & Huang, C. (2020) · Microorganisms · doi:10.3390/microorganisms8040545 · Cited by 98 · see citing works
“Moreover, another study has also been observed that exercise is directly proportional to the abundance of pathways, which in turn is related to the increased branched chain amino acid (BCAA) pathway [28], which is important for muscle recovery and increase in Methanobrevibacter smithii, a microorganism that uses H2 in…”
BackgroundIntestinal Microbiota Modulation in Obesity-Related Non-alcoholic Fatty Liver Disease
Porras, D., Nistal, E., Martínez‐Flórez, S., González‐Gallego, J., García‐Mediavilla, M. V., & Sánchez‐Campos, S. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01813 · Cited by 95 · see citing works
Epigenetics in depression and gut-brain axis: A molecular crosstalk
Begum, N., Mandhare, A., Tryphena, K. P., Srivastava, S., Shaikh, M. F., Singh, S. B., & Khatri, D. K. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1048333 · Cited by 99 · see citing works
Gut Microbiome in Colorectal Cancer: Clinical Diagnosis and Treatment
Liu, Y., Lau, H. C.-H., Cheng, W. Y., & Yu, J. Q. (2022) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2022.07.002 · Cited by 98 · see citing works
Moderate Exercise Has Limited but Distinguishable Effects on the Mouse Microbiome
Lamoureux, E., Grandy, S. A., & Langille, M. G. I. (2017) · mSystems · doi:10.1128/msystems.00006-17 · Cited by 85 · see citing works
Ramos, C., Gibson, G. R., Walton, G., Magistro, D., Kinnear, W., & Hunter, K. A. (2022) · Nutrients · doi:10.3390/nu14030674 · Cited by 83 · see citing works
Sales, K. M., & Reimer, R. A. (2022) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2022.09.002 · Cited by 97 · see citing works
“Strains within the Lactobacillus and Bifidobacterium genera are well-established probiotics that ferment non-digestible carbohydrates to produce SCFA.69 Current research in animal models and cell lines demonstrates that SCFA may enhance glycogen storage capacity by increasing the expression of glucose transporter type…”
BackgroundInfluentialTurna, J., Kaplan, K. G., Anglin, R., Patterson, B. A., Soreni, N., Berčík, P., Surette, M. G., & Ameringen, M. V. (2020) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13175 · Cited by 93 · see citing works
The intestinal microbiome and its relevance for functionality in older persons
Ticinesi, A., Tana, C., & Nouvenne, A. (2019) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000521 · Cited by 80 · see citing works
“favorable fecal microbiota profiles, in terms of biodiversity and production of metabolically active mediators like SCFAs [14,15].”
BackgroundInterventions on Gut Microbiota for Healthy Aging
Zeppa, S. D., Agostini, D., Ferrini, F., Gervasi, M., Barbieri, E., Bartolacci, A., Piccoli, G., Saltarelli, R., Sestili, P., & Stocchi, V. (2022) · Cells · doi:10.3390/cells12010034 · Cited by 91 · see citing works
MiMeNet: Exploring microbiome-metabolome relationships using neural networks
Reiman, D., Layden, B. T., & Dai, Y. (2021) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1009021 · Cited by 80 · see citing works
“While previous studies have uncovered various microbe-disease associations, recent work also revealed 30 the central role of bacterial metabolites and their impact on host health [8-13].”
ResultThe brain-gut-microbiota interplay in depression: A key to design innovative therapeutic approaches
Varesi, A., Campagnoli, L. I. M., Chirumbolo, S., Candiano, B., Carrara, A., Ricevuti, G., Esposito, C., & Pascale, A. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106799 · Cited by 85 · see citing works
Zhu, C., Ma, H., He, A., Li, Y., He, C., & Xia, Y. (2022) · Cancer Letters · doi:10.1016/j.canlet.2022.215814 · Cited by 80 · see citing works
Gut microbiota and physical frailty through the mediation of sarcopenia
Casati, M., Ferri, E., Azzolino, D., Cesari, M., & Arosio, B. (2019) · Experimental Gerontology · doi:10.1016/j.exger.2019.110639 · Cited by 75 · see citing works
Mills, S., Lane, J. A., Smith, G. J., Grimaldi, K. A., Ross, R. P., & Stanton, C. (2019) · Nutrients · doi:10.3390/nu11071468 · Cited by 88 · see citing works
“A follow-on study investigating the metabolic activity of the gut microbiota of these athletes revealed several differences compared to the control groups [140].”
BackgroundTorquati, L., Gajanand, T., Cox, E. R., Willis, C. R. G., Zaugg, J., Keating, S. E., & Coombes, J. S. (2022) · European Journal of Sport Science · doi:10.1080/17461391.2022.2035436 · Cited by 84 · see citing works
“both inherited and mostly modulated by diet, emerging evidence suggests regular exercise is associated with higher microbial diversity and health promoting taxa (Barton et al., 2018; Zhao et al., 2018).”
BackgroundThe Potential Impact of Probiotics on the Gut Microbiome of Athletes
Wosinska, L., Cotter, P. D., O’Sullivan, Ó., & Guinane, C. M. (2019) · Nutrients · doi:10.3390/nu11102270 · Cited by 86 · see citing works
“A subsequent study of the same cohort [13] concluded that athletes had a higher abundance of short-chain fatty acids (SCFA) metabolic pathways.”
Self-citation
- Authors
- Barton, W., Penney, N. C., Cronin, O., Garcia-Perez, I., Molloy, M. G., Holmes, E., Shanahan, F., Cotter, P. D., & O'Sullivan, O.
- Affiliations
- Teagasc - The Irish Agriculture and Food Development Authority (IE)
- Imperial College London (GB)
- National University of Ireland (IE)
- Section of Biomolecular Medicine, Division of Computational Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, UK
- Alimentary Pharmabiotic Centre Microbiome Institute, University College Cork, National University of Ireland, Cork, Ireland
- Corresponding author
- Shanahan, Fergus
- ORCID
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2017-03-30
- Volume
- 67
- Issue
- 4
- Pages
- 625-633
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2597526148
- Cited by
- 647
- References
- 0
- Citations by year
- 2026: 73 · 2025: 73 · 2024: 79 · 2023: 84 · 2022: 92 · 2021: 89 · 2020: 56 · 2019: 61 · 2018: 26 · 2017: 12
- FWCI
- 17.30
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Gut (publishedVersion)
- PubMed (publishedVersion)
- Cork Open Research Archive (University College Cork, Ireland) (submittedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Funders
- Science Foundation Ireland (11/PI/1137, 13/SIRG/2160, SFI/12/RC/2273)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- gut microbiota, professional athletes, rugby union players, physical activity, sedentary lifestyle, microbial metabolic functions, short-chain fatty acids, fecal metabolites, amino acid biosynthesis, carbohydrate metabolism, antibiotic biosynthesis, serum creatine kinase, functional metagenomics
- MeSH terms
- Gastrointestinal Microbiome, Feces, Feeding Behavior, Female, Humans, Male, Exercise, Body Mass Index, Case-Control Studies, Young Adult, Athletes
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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