Summatory Effects of Anaerobic Exercise and a ‘Westernized Athletic Diet’ on Gut Dysbiosis and Chronic Low-Grade Metabolic Acidosis
Phenotyping the Athletic Gut Microbiota: The Basis of Health and Physical Performance?
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Abstract
:1. Introduction
2. Methods
3. Effects of Anaerobic Exercise on Acid-Base Homeostasis
4. Effects of Nutrition on Metabolic Acidosis in High-Intensity Sports
5. Gut Microbiota and Systemic Acid-Base Homeostasis in Anaerobic Athletes
6. Influence of Anaerobic Athlete’s Training and Diet on Gut Microbiota
Authors | Sample and Type of Study | Results | Effects of WAN and/or Exercise on GM Composition? |
---|---|---|---|
Scheiman et al. [14] | Runner athletes (n = 15) who ran in the 2015 Boston marathon were compared to a set of sedentary controls (n = 10) sequenced on approximately daily samples collected up to one week before and one week after marathon day. | The link between members of the genus Veillonella and exercise performance: Increases in Veillonella relative abundance in marathon runners postmarathon. Inoculation of this strain into mice significantly increased exhaustive treadmill run time. Veillonella atypica improved run time via its metabolic conversion of exercise-induced lactate into propionate. |
YES Exercise promotes bacterial specialization and can decrease lactate during exercise. |
Bressa et al. [54] |
Experimental study Two groups: runners were complemented with a protein supplement (whey isolate and beef hydrolysate) (n = 12) or maltodextrin (control) (n = 12) for 10 weeks. | 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. Increased abundance of the Bacteroidetes phylum and decreased the presence of health-related taxa, including Roseburia, Blautia, and Bifidobacterium longum. |
YES Protein supplementations affect GM balance and can alter beneficial composition. Long-term protein supplementation may have a negative impact on gut microbiota. |
Estaki et al. [95] |
Experimental study N = 39 subjects physically fit (22 males and 17 females) | Peak oxygen uptake explained more than 20% of the variation in taxonomic richness after accounting for all other factors, including diet. This higher endurance performance was related to increases in the production of fecal butyrate amongst physically fit participants, identifying increased abundances of key butyrate-producing taxa (Clostridiales, Roseburia, Lachnospiraceae, and Erysipelotrichaceae). |
YES Cardiorespiratory fitness is correlated with increased microbial diversity in healthy humans, and the associated changes are anchored around a set of functional cores rather than specific taxa. The microbial profiles of fit individuals favor the production of butyrate. Increased microbiota diversity and butyrate production are associated with overall host health. |
Allen et al. [107] |
N = 32 sedentary subjects Two groups: lean (n = 18 [9 female]) and obese (n = 14 [11 female]). Six weeks of supervised, endurance-based exercise training (3 d·wk−1) that progressed from 30 to 60 min·d−1 and from moderate (60% of HR reserve) to vigorous intensity (75% HR reserve). Subsequently, participants returned to a sedentary lifestyle activity for a 6 wk washout period. Fecal samples were collected before and after 6 wk of exercise, as well as after the sedentary washout period, with 3 d dietary controls in place before each collection. | β-diversity analysis revealed that exercise-induce alterations of the gut microbiota. Exercise increased fecal concentrations of short-chain fatty acids in lean, but not obese, participants. Exercise-induced shifts in the metabolic output of the microbiota paralleled changes in bacterial genes and taxa capable of short-chain fatty acid production. Exercise-induced changes in the microbiota were largely reversed once exercise training ceased. |
YES Exercise training induces compositional and functional changes in the human gut microbiota but is reversed if a positive stimulus (exercise and/or diet) does not exist. |
Fernández-Sanjurjo et al. [111] |
A total of 16 professional cyclists competing in La Vuelta 2019 were recruited. Fecal samples were collected at four time points: the day before the first stage (A), after 9 stages (B), after 15 stages (C), and on the last stage (D). | Bifidobacteriaceae, Coriobacteriaceae, Erysipelotrichaceae, and Sutterellaceae dynamics showed a strong final performance predictive value (r = 0.83, ranking, and r = 0.81, accumulated time). Positive correlations were observed between Coriobacteriaceae with acetate (r = 0.530) and isovalerate (r = 0.664) and between Bifidobacteriaceae with isobutyrate (r = 0.682). No relationship was observed between SCFAs and performance. The abundance of Erysipelotrichaceae at the beginning of La Vuelta was directly related to the previous intake of complex-carbohydrate-rich foods (r = 0.956), while during the competition, the abundance of Bifidobacteriaceae was negatively affected by the intake of simple carbohydrates from supplements (r = −0.650). |
YES An ecological perspective more realistically represents the relationship between gut microbiota composition and performance compared with single-taxon approaches. The composition and periodization of diet and supplementation during a grand tour, particularly carbohydrates, could be designed to modulate gut microbiota composition to allow better performance. |
Barton et al. [108] | Metabolic phenotyping and functional metagenomic analysis of the gut microbiome of professional international rugby union players (n = 40) and controls (n = 46) were carried out, and the results were correlated with lifestyle parameters and clinical measurements (e.g., dietary habit and serum creatine kinase, respectively). | Athletes had relative increases in pathways associated with enhanced muscle turnover (fitness) and overall health when compared with control groups. |
YES Differences in fecal microbiota between athletes and sedentary controls were associated with exercise and diet regimens. |
Cronin et al. [113] |
N = 90 healthy Irish male and female Caucasian volunteers. Age between 18 to 40 years and with a body mass index (BMI) of between 22 and 35 kg/m2 (predominantly overweight or obese). Two randomized groups were recruited to an exercise-only group (E group) and an exercise plus daily whey protein supplementation group (EP group). A separate parallel group consuming whey protein supplementation but not participating in exercise programs (p group) was included in the study as a control. All participants were observed and measured for 8 weeks (n = 30 for each group). The exercise-only group (E) participated in an 8-week mixed aerobic and resistance exercise training program. The exercise plus whey protein supplementation group (EP) followed the same exercise program in addition to consuming the once-daily whey protein supplement. |
Significant changes in the diversity of the gut virome were evident in participants receiving daily whey protein supplementation. Improved body composition with exercise is not dependent on major changes in the diversity of microbial populations in the gut. The diverse microbial characteristics previously observed in long-term habitual athletes may be a later response to exercise and fitness improvement. |
YES Increasing the fitness levels of physically inactive humans leads to modest but detectable changes in gut microbiota characteristics. Regular whey protein intake leads to significant alterations to the composition of the gut virome. |
Jang et al. [115] |
Bodybuilders (n = 15), elite distance runners (n = 15), and healthy men in their twenties without regular exercise habits (n = 15). All participants were males. 3-day food diary (2 weekdays and 1 weekend day) that reflected habitual dietary intake. |
Exercise type was associated with athlete diet patterns (bodybuilders: high-protein, high-fat, low-carbohydrate, and low dietary fiber diet; distance runners: low-carbohydrate and low dietary fiber diet). However, athlete type did not differ regarding gut microbiota alpha and beta diversity but was significantly associated with the relative abundance of gut microbiota at the genus and species level. Faecalibacterium , Sutterella, Clostridium, Haemophilus, and Eisenbergiella were the highest (p < 0.05) in bodybuilders, while Bifidobacterium and Parasutterella were the lowest (p < 0.05). At the species level, intestinal beneficial bacteria widely used as probiotics (Bifidobacterium adolescentis group, Bifidobacterium longum group, Lactobacillus sakei group) and those producing short-chain fatty acids (Blautia wexlerae, Eubacterium hallii) were the lowest in bodybuilders and the highest in controls. In addition, aerobic or resistance exercise training with an unbalanced intake of macronutrients and low intake of dietary fiber led to a similar diversity of gut microbiota. Specifically, daily protein intake was negatively correlated with operation taxonomic unit and Shannon index in distance runners. |
YES High-protein diets may have a negative impact on gut microbiota diversity for athletes. |
Han et al. [116] | A team of professional female rowing athletes in China was recruited, and 306 fecal samples were collected from 19 individuals, which were separated into three cohorts: adult elite athletes (AE), youth elite athletes (YE), and youth non-elite athletes (YN). | The microbial diversities of elite athletes were higher than those of youth non-elite athletes. The taxonomical, functional, and phenotypic compositions of AE, YE, and YN were significantly different. Additionally, three enterotypes with clear separation were identified in athlete’s fecal samples, with the majority of elite athletes stratified into enterotype 3, which is strongly associated with athlete performances. |
YES Direct association between type of exercise regimen and diet: the versatilities of athlete microbial communities of athletes were found to be associated with dietary factors and physical characteristics of GM profile as a biomarker of physical performance and health. |
Vázquez-Cuesta et al. [119] | The study included 60 patients (51.7% females). Classification of subjects into two groups according to the categories of good (1–4) and medium (5–9). Stratification by age group was as follows: children (0–2 years), teenagers (13–18 years), young adults (19–30 years), middle-aged adults (31–48 years), and older adults (49–76 years). |
The Mediterranean diet (MD), renowned for its potential health benefits, and the influence of adherence thereto on gut microbiota have become a focus of research. Adherence to MD correlated with alpha diversity, and higher values were recorded in good adherers. Good adherers had a higher abundance of Paraprevotella and Bacteroides (p < 0.001). Alpha diversity correlated inversely with fat intake and positively with non-starch polysaccharides. Evenness correlated inversely with red meat intake and positively with NSPs. |
YES Diet has an important influence on GM composition and health, and MD has better prognostic effects on GM than animal protein diets. |
7. The Chronic Impact of Metabolic Acidosis on Systemic Inflammation: Some Role for the Microbiota?
8. Could the Gut Microbiota Modulate the Systemic Inflammation and Metabolic Acidosis?
9. Conclusions and Future Perspective
Funding
Data Availability Statement
Conflicts of Interest
References
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Authors | Type of Study and Sample | Protocol/Intervention | Results |
---|---|---|---|
Greenhaff et al. [67] | Experimental design N = 6 Physically active subjects | Four diet protocols for 4 days following a maximal test until exhaustion. Three groups with intervention: (carbs–lipids–proteins) Normal diet (45–41–14%) Low carbs–high fat (3–71–26%) High carbs (73–12–15%) High fat–protein (47–27–26%) | Dietary composition influences acid-base balance by affecting the plasma buffer base and circulating non-volatile weak acids and, by doing so, may influence the time taken to reach exhaustion during high-intensity exercise. High-protein diet elevates metabolic acidosis and alters acid-base balance. |
Greenhaff et al. [68] | Randomized study N = 5 Physically active subjects | A total of 3 min at 100% of maximal oxygen uptake on two separate occasions post 4-day diet interventions (cycle ergometer): (a) low carbs, 3%; high fat, 73%; high protein, 24%; or (b) high CHO, 82%; low fat, 8%; and low protein, 10%. |
There were no differences between the two treatments in blood acid-base status at rest prior to dietary manipulation. Muscle glycogen content increased by 23% on the (b) diet but was unchanged after the (a) diet. The decline in muscle glycogen content during exercise was 50% greater on the (b) diet. Low-CHO diet could induce metabolic acidosis and may reduce pre-exercise muscle buffering capacity, which may then influence subsequent exercise performance. |
Caciano et al. [69] | Cross-over trial randomized and counterbalanced N = 10 Physically active subjects | Graded treadmill test to exhaustion and an anaerobic exercise test on two occasions: after following a low- and high-potential renal load diet (diets were continued as long as needed to achieve an alkaline (4 days) or acid (9 days) fasted morning urine pH state). Anaerobic test until exhaustion lasting 1–4 min. |
Maximal exercise Respiratory exhalation ratio (RER) was lower in the alkaline trial compared to the acidic trial (1.10 ± 0.02 vs. 1.20 ± 0.05, p = 0.037). The alkaline diet also resulted in a 21% greater time to exhaustion during anaerobic exercise (2.56 ± 0.36 vs. 2.11 ± 0.31 s, p = 0.044) and a strong tendency for lower RER values during submaximal exercise at 70% VO2max (0.88 ± 0.02 vs. 0.96 ± 0.04, p = 0.060). Alkaline-promoting diet resulted in lower RER values during maximal-intensity exercise, and also increased anaerobic exercise time to exhaustion may favor lipid oxidation. |
Kim et al. [72] |
Experimental study N = 8 Elite Korean bodybuilders |
The study investigated the metabolic response to high protein consumption in elite bodybuilders: Diet regimen: protein (4.3 ± 1.2 g/kg body weight/day) and calories (5621.7 ± 1354.7 kcal/day) recorded during three days (breakfast, lunch, dinner, and snacks). |
Serum creatinine (1.3 ± 0.1 mg/dL) and potassium (5.9 ± 0.8 mmol/L), and urinary urea nitrogen (24.7 ± 9.5 mg/dL) and creatinine (2.3 ± 0.7 mg/dL) were observed to be higher than the normal reference ranges. Increased urinary excretion of urea nitrogen and creatinine might be due to the high rates of protein metabolism that follow high protein intake and muscle turnover. |
Hietavala et al. [19] |
Experimental study; randomized N = 88 Three groups: adolescents (12–15 years), young adults (20–35 years), and old subjects (60–75 years) Physically active |
A 7-day high-vegetable (alkaline) and a 7-day high-protein diet with no vegetables and fruits in a randomized order. After each diet intervention, incremental cycle ergometer tests were performed until 100% of maximal individual intensity. | In young and old subjects, capillary-pH (p ≤ 0.038) and urine-pH (p < 0.001) were higher at rest after a high-vegetable diet compared with a high-protein diet. During cycling, capillary-pH was higher (p ≤ 0.034) after high vegetable compared with high protein at submaximal workloads in young subjects at 75% of maximal oxygen consumption and older subjects. Older subjects may be more sensitive to the diet-induced acid-base changes. |
Niekamp et al. [70] |
Experimental study N = 47 sedentary men and women (47–63) |
Maximal graded treadmill exercise tests (100% maximal oxygen uptake). Habitual diet was assessed for its long-term effect on systemic acid-base status. |
A more alkaline diet promoted higher respiratory exchange ratio values (1.21 ± 0.01, p ≤ 0.05) than the middle (1.17 ± 0.01) and highest acidic diet (1.15 ± 0.01). There were no significant differences (all p ≥ 0.30) among diets for submaximal exercise intensities of 70%, 80%, or 90% of maximal oxygen consumption. After controlling for age, sex, VO2max, and maximal heart rate, regression analysis demonstrated that 19% of the variability in RER was attributed to renal load diets (r = −0.43, p = 0.001). Alkaline diets were associated with the attainment of higher peak values for respiratory exchange ratio during maximal-intensity exercise testing. |
Chycki et al. [3] |
Randomized study N = 16 trained sport athletes Two groups: the experimental group (EG; n = 8), which ingested highly alkaline water for three weeks, and the control group (CG; n = 8), which received regular table water |
Anaerobic performance was evaluated by two double 30 s Wingate tests for lower and upper limbs, with a passive rest interval of 3 min between the bouts of exercise. In addition, acid-base equilibrium and electrolyte status were evaluated. Urine samples were evaluated for specific gravity and pH. |
Lactate after the Wingate test was drawn 3 min of recovery and
revealed statistically significant decreases in concentration at rest (from 1.99 mmol/L to 1.30 mmol/L with p = 0.008) and a significant increase in post-exercise concentration (from 19.09 mmol/L to 21.20 mmol/L with p = 0.003) in the experimental group ingesting alkaline water. Additionally, a significant increase in blood pH at rest (from 7.36 to 7.44 with p = 0.001), bicarbonate at rest (from 23.87 to 26.76 with p = 0.001), and post-exercise (from 12.90 to 13.88 with p = 0.002) were observed in the experimental group. The results indicated that drinking alkalized water enhances hydration and improves acid-base balance and anaerobic exercise performance. |
Baranauskas [29] | N = 323 competitive Lithuanian high-performance athletes |
The actual diet was investigated using the 24 h recall dietary survey method. The potential renal acid load of the diets and net endogenous acid production of athletes were calculated. |
A total of 10.2% of athletes exceed endogenous acid production of 100 mEq
·
day−1, and on average 126.1 ± 32.7 mEq
·
day−1 is associated with lower muscle mass (β −1.2% of body weight,
p
< 0.001) but has no effect on the amount of minerals in the body (β 0.01% of body weight,
p
= 0.073). Overall, 25–30% of Lithuanian high-performance athletes use high-protein diets (2.0–4.8 g · kg−1 · day−1), leading to a dietary acid-base imbalance as well as an excessive production of endogenous acids in the body. |
Ball et al. [73] |
Experimental study N = 6 Males cycled to exhaustion at a workload equivalent to 95 percent of maximum oxygen uptake on four separate occasions. |
Exercise tests were performed after an overnight fast, and each test was preceded by one of four experimental conditions. Two experimental diets were designed, either to replicate each subject’s own normal diet [mean (SD) daily energy intake (E) = 14.5 (0.8), percent protein (Pro), 37.5 (2.2) percent fat (Fat), and 47.5 (2.1) percent carbohydrate (CHO)], or a low-carbohydrate diet [33.6 (1.3) percent Pro, 64.4 (1.5) percent fat, and 2.2 (0.4) percent CHO]. These diets were prepared and consumed within the department over a 3-day period. |
Exercise time following the low-CHO diet was less than on the normal diet conditions (p < 0.05). Post-exercise blood pH bicarbonate was higher following the ingestion of sodium bicarbonate irrespective of the pre-exercise diet (p < 0.05). Blood lactate concentration was higher 2 min after exercise following the N diet with sodium bicarbonate when compared with the low-CHO diets with either sodium bicarbonate or placebo (p < 0.05). Plasma ammonia accumulation was not significantly different between experimental conditions. Low-CHO diet reduces the capacity to perform high-intensity exercise, but it appears that the metabolic acidosis induced by the low-CHO diet is not the cause of the reduced exercise capacity observed during high-intensity exercise under these conditions. |
Limmer et al. [71] |
Experimental study N = 11 Recreationally active participants (8 men, 3 women) |
One trial under each individual’s unmodified diet and subsequently two trials following either 4 days of an alkalizing (BASE) or acidizing (ACID) diet. Trials consisted of 400 m runs at intervals of 1 week on a tartan track in a randomized order. |
A 400 m performance time for the BASE trial (65.8 ± 7.2 s) compared with the ACID trial (67.3 ± 7.1 s; p = 0.026). BASE diet blood lactate (BASE: 16.3 ± 2.7; ACID: 14.4 ± 2.1 mmol/L; p = 0.32) and urinary pH (BASE: 7.0 ± 0.7; ACID: 5.5 ± 0.7; p = 0.001) were different. A short-term alkalizing diet may improve 400 m performance time in moderately trained participants. Higher blood lactate concentrations under the alkalizing diet suggest an enhanced blood or muscle buffer capacity. |
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Álvarez-Herms, J. Summatory Effects of Anaerobic Exercise and a ‘Westernized Athletic Diet’ on Gut Dysbiosis and Chronic Low-Grade Metabolic Acidosis. Microorganisms 2024, 12, 1138. https://doi.org/10.3390/microorganisms12061138
Álvarez-Herms J. Summatory Effects of Anaerobic Exercise and a ‘Westernized Athletic Diet’ on Gut Dysbiosis and Chronic Low-Grade Metabolic Acidosis. Microorganisms. 2024; 12(6):1138. https://doi.org/10.3390/microorganisms12061138
Chicago/Turabian StyleÁlvarez-Herms, Jesús. 2024. "Summatory Effects of Anaerobic Exercise and a ‘Westernized Athletic Diet’ on Gut Dysbiosis and Chronic Low-Grade Metabolic Acidosis" Microorganisms 12, no. 6: 1138. https://doi.org/10.3390/microorganisms12061138
APA StyleÁlvarez-Herms, J. (2024). Summatory Effects of Anaerobic Exercise and a ‘Westernized Athletic Diet’ on Gut Dysbiosis and Chronic Low-Grade Metabolic Acidosis. Microorganisms, 12(6), 1138. https://doi.org/10.3390/microorganisms12061138