| Literature DB >> 35269818 |
Saba Imdad1,2, Wonchung Lim3, Jin-Hee Kim2, Chounghun Kang1,4.
Abstract
The microbiome has emerged as a key player contributing significantly to the human physiology over the past decades. The potential microbial niche is largely unexplored in the context of exercise enhancing capacity and the related mitochondrial functions. Physical exercise can influence the gut microbiota composition and diversity, whereas a sedentary lifestyle in association with dysbiosis can lead to reduced well-being and diseases. Here, we have elucidated the importance of diverse microbiota, which is associated with an individual's fitness, and moreover, its connection with the organelle, the mitochondria, which is the hub of energy production, signaling, and cellular homeostasis. Microbial by-products, such as short-chain fatty acids, are produced during regular exercise that can enhance the mitochondrial capacity. Therefore, exercise can be employed as a therapeutic intervention to circumvent or subside various metabolic and mitochondria-related diseases. Alternatively, the microbiome-mitochondria axis can be targeted to enhance exercise performance. This review furthers our understanding about the influence of microbiome on the functional capacity of the mitochondria and exercise performance, and the interplay between them.Entities:
Keywords: gut microbiome; metabolism; microbial metabolites; mitochondrial plasticity; regular exercise training; short chain fatty acids
Mesh:
Substances:
Year: 2022 PMID: 35269818 PMCID: PMC8910986 DOI: 10.3390/ijms23052679
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Short-chain fatty acid metabolism by the bacterial gut microbiota and their role in gut homeostasis. EMP stands for Embden–Meyerhof–Parnas pathway. The bacteria involved in the formation of SCFAs via specific pathways are mentioned.
Gut microbiota-derived metabolites and their role in disease.
| Gut Microbiota-Derived Metabolites | Metabolite Producing Bacteria | Metabolite Producing Bacterial Proteins/Genes | Role in Metabolic Disorders and/or Mitochondrial Diseases |
|---|---|---|---|
| H2S | Cysteine catabolic bacteria: | Sulfate reduction operon ( | Mutation in parkin encoding gene |
| TMAO | choline-TMA lyase ( |
Cell culture studies showed that TMAO promotes chronic kidney disease (CKD) by activation of NF-κB. Non-lethal inhibitor of gut microbial TMA production attenuated CKD and cardiac hypertrophy, in adenine induced CKD mouse model [ Increased TMAO concentration in cardiac mitochondria impairs pyruvate and fatty acid oxidation [ | |
| Succinate | 6-phosphogluconolactonase ( | LPS stimulated macrophages shift from OXPHOS to glycolysis and increase succinate levels by oxidation via mitochondrial succinate dehydrogenase (SDH), along with a higher mitochondrial membrane potential, to drive mitochondrial ROS production. Succinate via SDH has a role to play in the repurposing of mitochondrial metabolism to promote pro-inflammatory macrophages [ | |
| Secondary bile acids | Bile salt hydrolase ( | The secondary bile acid lithocholic acid (LCA) was found to be reduced in the fecal samples of nonalcoholic fatty liver disease (NAFLD) children, when assessed by tandem mass spectrometry (UPLC-MS/MS). | |
| Tryptophan catabolites | Phenyllactate dehydratase gene cluster ( |
IA was suggested to have a potentially protective role in lipid metabolism, where it is reduced in mice on a high-fat diet (HFD) vs low-fat diet and is involved in diminishing hepatocyte lipogenesis via cytokines [ Gut microbiota derived-metabolite IPA was identified as modulator of mitochondrial respiration in cardiomyocytes and affected cardiac function, in an isolated perfused heart model [ |
Figure 2Influence of regular exercise on the gut microbiota in the context of transforming the diseased condition (dysbiosis) to a healthier condition (eubiosis).
Exercise-associated alterations of human gut microbiota.
| References | Microbiome Analysis | Exercise and/or Diet | Study Participants and Design | Study Type | Major Outcomes |
|---|---|---|---|---|---|
| Bycura et al., 2021 [ | 16S rRNA gene sequencing of V4 region | 8-weeks cardiorespiratory exercise (CRE) or resistance training exercise (RTE) | Male (M) and female (F) students, CRE: 28 (21 F, 7 M; aged 18–26), RTE: 28 (17 F, 11 M; aged 18 to 33 years), pre-exercise and post-exercise period (3-weeks each) was used as control | Longitudinal | CRE resulted in a shift in the microbiome composition seen by qualitative distance metrics and Bray-Curtis metric. However, the prompted gut microbiota change did not persist after completion of exercise intervention period. Whereas, RTE did not change the subjects’ gut microbiome. |
| Craven et al., 2021 [ | 16S rRNA gene sequencing of V3–V4 region | 7-weeks training: 3-week normal training (NormTr), 3-week high-volume training (HVolTr, 10, 20 and 30% increase in training volume during each successive week), 1-week taper training (TaperTr, 55% exponential reduction in training volume) | Highly trained middle-distance runners, | Longitudinal | HVolTr decreased |
| Jaago et al., 2021 [ | 16S rRNA gene sequencing of V3–V4 region | Exercising at high loads during 31-week period in a ‘real-life’ setting, Prebiotic fiber supplement for 30 days, starting at week 27. | 18 years old male junior academic rower (BMI 23.3 ± 0.2), Fecal sample collection at week 1, week 27 and week 31. | Longitudinal | Firmicutes/Bacteroidetes ratio increased (as compared to control cohort) while alpha diversity dropped by 20.3%, upon dietary supplementation. Moreover, microbiota shifted from acetate to butyrate producing bacteria, resulting in enhanced abundance of |
| Quiroga et al., 2020 [ | 16S rRNA gene sequencing of V3–V4 region | 12-week strength and endurance training exercise | 53 children (7 to 12 years old), 39 obese (25 did exercise and 14 were obese control group) and 14 healthy controls. | Longitudinal | Exercise tended to increase |
| Galle et al., 2020 [ | 16S rRNA gene sequencing of V1–V2 region | Physical activity (PA): mean PA level of 3006.2 ± 2973.6 metabolic equivalent (MET)-minutes/week (148–21,090), Mediterranean diet (MD) | 140 university students (48.6% males, mean age 22.5 ± 2.9, mean BMI: 22.4 ± 2.8 kg/m2) | Cross-sectional | |
| Liu et al., 2020 [ | Shotgun metagenomic sequencing | 12-week high-intensity exercise (combination of aerobic and strength training) | 39 prediabetic men (age: 31.45–46.56 years, BMI > 23 kg/m2) | Longitudinal | No significant difference was observed in alpha or beta diversity between the microbiome before and after exercise. However, compositional analysis showed altered relative abundances of 6 species, belonging to Firmicutes, Bacteroidetes, and Proteobacteria, after exercise, which were correlated with improvements in glucose homeostasis and insulin sensitivity. |
| Motiani et al., 2020 [ | 16S rRNA gene sequencing of V3–V4 region | Sprint interval (SIT) training: 30 s exercise bouts (4–6) of all out cycling efforts. Moderate-intensity continuous training (MICT): 40–60 min (60% of VO2 peak intensity) cycling. Both trainings were carried out six times over 2 weeks span. | 26 insulin resistant sedentary subjects (M: 16, F: 10, age: 49 ± 4 year, BMI: 30.5 ± 3 kg/m2) | Longitudinal | Exercise training modified the microbiota by increasing Bacteroidetes and decreasing Firmicutes/Bacteroidetes ratio. Moreover, there was a decrease in |
| Rettedal et al., 2020 [ | 16S rRNA gene sequencing of V3–V4 region | 3 weeks of High-intensity interval training (HIIT) (8–12 × 60 s cycle ergometer bouts) | 14 lean (fat mass 21 ± 2%, aged 29 ± 2 years) and 15 overweight (fat mass 33 ± 2%, aged 31 ± 2 years) men | Longitudinal | HIIT significantly increased the aerobic fitness of both groups and improved markers of insulin sensitivity. However, HIIT did not affect the overall bacterial diversity or community structure (α-diversity or β-diversity). However, significant associations were observed between |
Figure 3The interface between exerkines and microbiota-derived metabolites for interorgan cross-talk and host energy homeostasis. Thermogenic adipose tissue has been therapeutically targeted for obesity and type 2 diabetes mellitus (T2DM), where microbial secondary bile acids mediated glucagon-like peptide 1 (GLP-1) release via TGR5, enhances thermogenesis. Activation of bile-acid receptor TGR5 in skeletal muscles induces muscle hypertrophy and differentiation. Exercise upregulates TGR5 expression in muscle cells. IL-6 and irisin are exercise induced myokines, however, fibroblast growth factor 21 (FGF21) is a proposed myokine which acts in an autocrine fashion. IL-6 was initially associated with muscle damage, but its advantageous contribution to exercise is elucidated by crosstalk with pancreas, liver and adipose tissue. Butyrate mediated HDAC inhibition leads to downregulation of IL-6. Moreover, butyrate is vital in the assembly of tight junctions in intestinal and vascular endothelial cells by inducing cyclo-oxygenase (COX), lipoxygenase (LOX) and reducing inducible NO synthase (iNOS). Importantly, SCFAs can cross blood brain barrier and regulate the expression of tight junction proteins and rate of transport by decreasing permeability.