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Tang H, Huang Y, Yuan D, Liu J. Atherosclerosis, gut microbiome, and exercise in a meta-omics perspective: a literature review. PeerJ 2024; 12:e17185. [PMID: 38584937 PMCID: PMC10999153 DOI: 10.7717/peerj.17185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/11/2024] [Indexed: 04/09/2024] Open
Abstract
Background Cardiovascular diseases are the leading cause of death worldwide, significantly impacting public health. Atherosclerotic cardiovascular diseases account for the majority of these deaths, with atherosclerosis marking the initial and most critical phase of their pathophysiological progression. There is a complex relationship between atherosclerosis, the gut microbiome's composition and function, and the potential mediating role of exercise. The adaptability of the gut microbiome and the feasibility of exercise interventions present novel opportunities for therapeutic and preventative approaches. Methodology We conducted a comprehensive literature review using professional databases such as PubMed and Web of Science. This review focuses on the application of meta-omics techniques, particularly metagenomics and metabolomics, in studying the effects of exercise interventions on the gut microbiome and atherosclerosis. Results Meta-omics technologies offer unparalleled capabilities to explore the intricate connections between exercise, the microbiome, the metabolome, and cardiometabolic health. This review highlights the advancements in metagenomics and metabolomics, their applications in research, and examines how exercise influences the gut microbiome. We delve into the mechanisms connecting these elements from a metabolic perspective. Metagenomics provides insight into changes in microbial strains post-exercise, while metabolomics sheds light on the shifts in metabolites. Together, these approaches offer a comprehensive understanding of how exercise impacts atherosclerosis through specific mechanisms. Conclusions Exercise significantly influences atherosclerosis, with the gut microbiome serving as a critical intermediary. Meta-omics technology holds substantial promise for investigating the gut microbiome; however, its methodologies require further refinement. Additionally, there is a pressing need for more extensive cohort studies to enhance our comprehension of the connection among these element.
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Affiliation(s)
- Haotian Tang
- Department of Histology and Embryology, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Yanqing Huang
- Department of Histology and Embryology, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Didi Yuan
- Department of Histology and Embryology, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Junwen Liu
- Department of Histology and Embryology, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
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Imdad S, So B, Jang J, Park J, Lee SJ, Kim JH, Kang C. Temporal variations in the gut microbial diversity in response to high-fat diet and exercise. Sci Rep 2024; 14:3282. [PMID: 38332014 PMCID: PMC10853223 DOI: 10.1038/s41598-024-52852-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 01/24/2024] [Indexed: 02/10/2024] Open
Abstract
High-fat diet-induced obesity is a pandemic caused by an inactive lifestyle and increased consumption of Western diets and is a major risk factor for diabetes and cardiovascular diseases. In contrast, exercise can positively influence gut microbial diversity and is linked to a decreased inflammatory state. To understand the gut microbial variations associated with exercise and high-fat diet over time, we conducted a longitudinal study to examine the effect of covariates on gut microbial diversity and composition. Young mice were divided into four groups: Chow-diet (CHD), high-fat diet (HFD), high-fat diet + exercise (HFX), and exercise only (EXE) and underwent experimental intervention for 12 weeks. Fecal samples at week 0 and 12 were collected for DNA extraction, followed by 16S library preparation and sequencing. Data were analyzed using QIIME 2, R and MicrobiomeAnalyst. The Bacteroidetes-to-Firmicutes ratio decreased fivefold in the HFD and HFX groups compared to that in the CHD and EXE groups and increased in the EXE group over time. Alpha diversity was significantly increased in the EXE group longitudinally (p < 0.02), whereas diversity (Shannon, Faith's PD, and Fisher) and richness (ACE) was significantly reduced in the HFD (p < 0.005) and HFX (p < 0.03) groups over time. Beta diversity, based on the Jaccard, Bray-Curtis, and unweighted UniFrac distance metrics, was significant among the groups. Prevotella, Paraprevotella, Candidatus arthromitus, Lactobacillus salivarius, L. reuteri, Roseburia, Bacteroides uniformis, Sutterella, and Corynebacterium were differentially abundant in the chow-diet groups (CHD and EXE). Exercise significantly reduced the proportion of taxa characteristic of a high-fat diet, including Butyricimonas, Ruminococcus gnavus, and Mucispirillum schaedleri. Diet, age, and exercise significantly contributed to explaining the bacterial community structure and diversity in the gut microbiota. Modulating the gut microbiota and maintaining its stability can lead to targeted microbiome therapies to manage chronic and recurrent diseases and infections.
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Affiliation(s)
- Saba Imdad
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
- Department of Biomedical Laboratory Science, College of Health Science, Cheongju University, Cheongju, 28503, South Korea
| | - Byunghun So
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
| | - Junho Jang
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
| | - Jinhan Park
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea
| | - Sam-Jun Lee
- Department of Sport Rehabilitation, College of Health, Welfare, and Education, Tong Myong University, Busan, 48520, South Korea
| | - Jin-Hee Kim
- Department of Biomedical Laboratory Science, College of Health Science, Cheongju University, Cheongju, 28503, South Korea.
| | - Chounghun Kang
- Molecular Metabolism in Health and Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon, 22212, South Korea.
- Department of Physical Education, College of Education, Inha University, Incheon, 22212, South Korea.
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Ismaeel A, Valentino TR, Burke B, Goh J, Saliu TP, Albathi F, Owen A, McCarthy JJ, Wen Y. Acetate and succinate benefit host muscle energetics as exercise-associated post-biotics. Physiol Rep 2023; 11:e15848. [PMID: 37940330 PMCID: PMC10632089 DOI: 10.14814/phy2.15848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 10/19/2023] [Accepted: 10/19/2023] [Indexed: 11/10/2023] Open
Abstract
Recently, the gut microbiome has emerged as a potent modulator of exercise-induced systemic adaptation and appears to be crucial for mediating some of the benefits of exercise. This study builds upon previous evidence establishing a gut microbiome-skeletal muscle axis, identifying exercise-induced changes in microbiome composition. Metagenomics sequencing of fecal samples from non-exercise-trained controls or exercise-trained mice was conducted. Biodiversity indices indicated exercise training did not change alpha diversity. However, there were notable differences in beta-diversity between trained and untrained microbiomes. Exercise significantly increased the level of the bacterial species Muribaculaceae bacterium DSM 103720. Computation simulation of bacterial growth was used to predict metabolites that accumulate under in silico culture of exercise-responsive bacteria. We identified acetate and succinate as potential gut microbial metabolites that are produced by Muribaculaceae bacterium, which were then administered to mice during a period of mechanical overload-induced muscle hypertrophy. Although no differences were observed for the overall muscle growth response to succinate or acetate administration during the first 5 days of mechanical overload-induced hypertrophy, acetate and succinate increased skeletal muscle mitochondrial respiration. When given as post-biotics, succinate or acetate treatment may improve oxidative metabolism during muscle hypertrophy.
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Affiliation(s)
- Ahmed Ismaeel
- Department of Physiology, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
| | | | - Benjamin Burke
- Department of Physiology, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Jensen Goh
- Department of Physiology, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Tolulope P. Saliu
- Department of Physiology, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Fatmah Albathi
- Department of Pharmacology and Nutritional Sciences, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
| | - Allison Owen
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
- Department of Athletic TrainingCollege of Health SciencesUniversity of KentuckyLexingtonKentuckyUSA
| | - John J. McCarthy
- Department of Physiology, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
| | - Yuan Wen
- Department of Physiology, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
- Center for Muscle BiologyUniversity of KentuckyLexingtonKentuckyUSA
- Division of Biomedical Informatics, Department of Internal Medicine, College of MedicineUniversity of KentuckyLexingtonKentuckyUSA
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Galan-Lopez P, Casuso RA. Metabolic Adaptations to Morning Versus Afternoon Training: A Systematic Review and Meta-analysis. Sports Med 2023; 53:1951-1961. [PMID: 37458979 DOI: 10.1007/s40279-023-01879-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/13/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Some physiological responses such as circulating glucose as well as muscle performance show a circadian rhythmicity. In the present study we aimed to quantitatively synthesize the data comparing the metabolic adaptations induced by morning and afternoon training. METHODS PubMed, SCOPUS, and Web of Science databases were systematically searched for studies comparing the metabolic adaptations (> 2 weeks) between morning and afternoon training. A meta-analysis was performed using random-effects models with DerSimonian-Laird methods for fasting blood glucose, hemoglobin A1c (HbAc1), homeostatic model assessment (HOMA), insulin, triglycerides, total cholesterol, low-density lipoprotein (LDL), and high-density lipoprotein (HDL). RESULTS We identified 9 studies with 11 different populations (n = 450 participants). We found that afternoon exercise was more effective at reducing circulating triglycerides [standardized mean difference (SMD) - 0.32; 95% confidence interval (CI) - 0.616 to - 0.025] than morning training. Moreover, afternoon tended to decrease fasting blood glucose (SMD - 0.24; 95% CI - 0.478 to 0.004) to a greater extent than morning training. CONCLUSION Metabolic adaptations to exercise may be dependent on the time of day. Morning training does not show superior effects to afternoon exercise in any of the analyzed outcomes. However, afternoon training is more effective at reducing circulating triglyceride levels and perhaps at reducing fasting blood glucose than morning training. The study was preregistered at PROSPERO (CRD42021287860).
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Affiliation(s)
- Pablo Galan-Lopez
- Department of Communication and Education, Universidad Loyola Andalucía, Seville, Spain
| | - Rafael A Casuso
- Faculty of Health Sciences, Universidad Loyola Andalucía, Córdoba, Spain.
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