A Narrative Hypothesis: The Important Role of Gut Microbiota in the Modulation of Effort Tolerance in Endurance Athletes
Abstract
1. Introduction
2. The Relationship Between Endurance Exercise, Fatigue Perceptions, and Gut Microbiota Adaptations
3. The Hypothesis: Connection Between the GM and Tolerance to Effort, Pain, or Discomfort Sensations
4. GM-Derived Metabolites: NTs and Neuromodulators and Their Influence on Brain Perceptions
4.1. The Important Role of SCFAs in Inflammation Regulation and Immune Response for Perceptual Perceptions
4.2. Neurotransmitters, Gut Peptides, and Vagus Nerve–CNS Communication
4.3. The Negative Effects of Gut Dysbiosis on Perceptions and Tolerance to Fatigue
5. Differences Between Endurance Athletes and the General Population Regarding Gut Microbiota and the Neural System as an Adaptive Response to High Fatigue Exposure
6. Nutritional and Probiotic Interventions to Modulate GM and Change Effort Sensitivity: The Hypotheses
7. Limitations
8. Conclusions
Author Contributions
Funding
Conflicts of Interest
Abbreviations
| ANS | Autonomic nervous system |
| BF | Blood flow |
| CNS | Central nervous system |
| EE | Endurance exercise |
| EFSA | European Food Safety Authority |
| GB | Gut bowel |
| GI | Gastrointestinal |
| GM | Gut microbiota |
| GRAS | Generally Recognized as Safe |
| HA/P | Hemagglutinin/protease |
| HPA | Hypothalamic/pituitary/adrenal |
| 5-HT | Serotonin |
| ISSN | International Society of Sports Nutrition |
| LPS | Lipopolysaccharides |
| NT | Neurotransmitters |
| PAMPs | Pathogen-associated molecular patterns |
| PRR | Pathogen recognition receptors |
| QPS | Qualified Presumption of Safety |
| SCFAs | Short-chain fatty acids |
| TNF | Tumour necrosis factor |
| VN | Vagus nerve |
| ZOT | Zonula occludens toxin |
References
- Gareau, M.G. Microbiota-Gut-Brain Axis and Cognitive Function. In Microbial Endocrinology: The Microbiota-Gut-Brain Axis in Health and Disease; Lyte, M., Cryan, J.F., Eds.; Advances in Experimental Medicine and Biology; Springer: New York, NY, USA, 2014; Volume 817, pp. 357–371. ISBN 978-1-4939-0896-7. [Google Scholar]
- Yin, Y.; Guo, Q.; Zhou, X.; Duan, Y.; Yang, Y.; Gong, S.; Han, M.; Liu, Y.; Yang, Z.; Chen, Q.; et al. Role of Brain-Gut-Muscle Axis in Human Health and Energy Homeostasis. Front. Nutr. 2022, 9, 947033. [Google Scholar] [CrossRef] [PubMed]
- O’ Mahony, S.M.; Dinan, T.G.; Cryan, J.F. The Gut Microbiota as a Key Regulator of Visceral Pain. Pain 2017, 158 (Suppl. 1), S19–S28. [Google Scholar] [CrossRef]
- Zhou, S.-Y.; Gillilland, M.; Wu, X.; Leelasinjaroen, P.; Zhang, G.; Zhou, H.; Ye, B.; Lu, Y.; Owyang, C. FODMAP Diet Modulates Visceral Nociception by Lipopolysaccharide-Mediated Intestinal Inflammation and Barrier Dysfunction. J. Clin. Investig. 2018, 128, 267–280. [Google Scholar] [CrossRef]
- Bonomini-Gnutzmann, R.; Plaza-Díaz, J.; Jorquera-Aguilera, C.; Rodríguez-Rodríguez, A.; Rodríguez-Rodríguez, F. Effect of Intensity and Duration of Exercise on Gut Microbiota in Humans: A Systematic Review. Int. J. Environ. Res. Public Health 2022, 19, 9518. [Google Scholar] [CrossRef]
- Cataldi, S.; Bonavolontà, V.; Poli, L.; Clemente, F.M.; De Candia, M.; Carvutto, R.; Silva, A.F.; Badicu, G.; Greco, G.; Fischetti, F. The Relationship between Physical Activity, Physical Exercise, and Human Gut Microbiota in Healthy and Unhealthy Subjects: A Systematic Review. Biology 2022, 11, 479. [Google Scholar] [CrossRef] [PubMed]
- Davidson, G.L.; Cooke, A.C.; Johnson, C.N.; Quinn, J.L. The Gut Microbiome as a Driver of Individual Variation in Cognition and Functional Behaviour. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2018, 373, 20170286. [Google Scholar] [CrossRef] [PubMed]
- Clark, A.; Mach, N. Exercise-Induced Stress Behavior, Gut-Microbiota-Brain Axis and Diet: A Systematic Review for Athletes. J. Int. Soc. Sports Nutr. 2016, 13, 43. [Google Scholar] [CrossRef]
- Silva, Y.P.; Bernardi, A.; Frozza, R.L. The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication. Front. Endocrinol. 2020, 11, 508738. [Google Scholar] [CrossRef]
- O’Donnell, M.P.; Fox, B.W.; Chao, P.-H.; Schroeder, F.C.; Sengupta, P. A Neurotransmitter Produced by Gut Bacteria Modulates Host Sensory Behaviour. Nature 2020, 583, 415–420. [Google Scholar] [CrossRef]
- Monda, V.; Villano, I.; Messina, A.; Valenzano, A.; Esposito, T.; Moscatelli, F.; Viggiano, A.; Cibelli, G.; Chieffi, S.; Monda, M.; et al. Exercise Modifies the Gut Microbiota with Positive Health Effects. Oxid. Med. Cell Longev. 2017, 2017, 3831972. [Google Scholar] [CrossRef]
- Rhee, S.H.; Pothoulakis, C.; Mayer, E.A. Principles and Clinical Implications of the Brain–Gut–Enteric Microbiota Axis. Nat. Rev. Gastroenterol. Hepatol. 2009, 6, 306–314. [Google Scholar] [CrossRef] [PubMed]
- Ulrich-Lai, Y.M.; Herman, J.P. Neural Regulation of Endocrine and Autonomic Stress Responses. Nat. Rev. Neurosci. 2009, 10, 397–409. [Google Scholar] [CrossRef] [PubMed]
- Tache, Y.; Larauche, M.; Yuan, P.-Q.; Million, M. Brain and Gut CRF Signaling: Biological Actions and Role in the Gastrointestinal Tract. Curr. Mol. Pharmacol. 2018, 11, 51–71. [Google Scholar] [CrossRef]
- Haleem, D.J. Serotonin-1A Receptor Dependent Modulation of Pain and Reward for Improving Therapy of Chronic Pain. Pharmacol. Res. 2018, 134, 212–219. [Google Scholar] [CrossRef]
- Shiro, Y.; Arai, Y.-C.; Ikemoto, T.; Ueda, W.; Ushida, T. Correlation Between Gut Microbiome Composition and Acute Pain Perception in Young Healthy Male Subjects. Pain Med. 2021, 22, 1522–1531. [Google Scholar] [CrossRef]
- Brown, J.P.; Boulay, L.J. Clinical Experience with Duloxetine in the Management of Chronic Musculoskeletal Pain. A Focus on Osteoarthritis of the Knee. Ther. Adv. Musculoskelet. Dis. 2013, 5, 291–304. [Google Scholar] [CrossRef]
- Das, B.; Nair, G.B. Homeostasis and Dysbiosis of the Gut Microbiome in Health and Disease. J. Biosci. 2019, 44, 117. [Google Scholar] [CrossRef]
- Hawrelak, J.A.; Myers, S.P. The Causes of Intestinal Dysbiosis: A Review. Altern. Med. Rev. 2004, 9, 180–197. [Google Scholar]
- Joyner, M.J.; Coyle, E.F. Endurance Exercise Performance: The Physiology of Champions. J. Physiol. 2008, 586, 35–44. [Google Scholar] [CrossRef] [PubMed]
- Parashar, A.; Udayabanu, M. Gut Microbiota Regulates Key Modulators of Social Behavior. Eur. Neuropsychopharmacol. 2016, 26, 78–91. [Google Scholar] [CrossRef]
- Mayer, E.A.; Tillisch, K.; Gupta, A. Gut/Brain Axis and the Microbiota. J. Clin. Investig. 2015, 125, 926–938. [Google Scholar] [CrossRef]
- Farmer, A.D.; Randall, H.A.; Aziz, Q. It’s a Gut Feeling: How the Gut Microbiota Affects the State of Mind. J. Physiol. 2014, 592, 2981–2988. [Google Scholar] [CrossRef]
- Janssens, Y.; Wynendaele, E.; Verbeke, F.; Debunne, N.; Gevaert, B.; Audenaert, K.; Van DeWiele, C.; De Spiegeleer, B. Screening of Quorum Sensing Peptides for Biological Effects in Neuronal Cells. Peptides 2018, 101, 150–156. [Google Scholar] [CrossRef] [PubMed]
- Basbaum, A.I.; Bautista, D.M.; Scherrer, G.; Julius, D. Cellular and Molecular Mechanisms of Pain. Cell 2009, 139, 267–284. [Google Scholar] [CrossRef]
- Costigan, M.; Scholz, J.; Woolf, C.J. Neuropathic Pain: A Maladaptive Response of the Nervous System to Damage. Annu. Rev. Neurosci. 2009, 32, 1–32. [Google Scholar] [CrossRef] [PubMed]
- Pattyn, N.; Van Cutsem, J.; Dessy, E.; Mairesse, O. Bridging Exercise Science, Cognitive Psychology, and Medical Practice: Is “Cognitive Fatigue” a Remake of “The Emperor’s New Clothes”. Front. Psychol. 2018, 9, 1246. [Google Scholar] [CrossRef]
- Amann, M. Central and Peripheral Fatigue: Interaction during Cycling Exercise in Humans. Med. Sci. Sports Exerc. 2011, 43, 2039–2045. [Google Scholar] [CrossRef]
- Gandevia, S.C. Spinal and Supraspinal Factors in Human Muscle Fatigue. Physiol. Rev. 2001, 81, 1725–1789. [Google Scholar] [CrossRef] [PubMed]
- Marcora, S.M.; Staiano, W.; Manning, V. Mental Fatigue Impairs Physical Performance in Humans. J. Appl. Physiol. 2009, 106, 857–864. [Google Scholar] [CrossRef]
- Meyers, M.C.; Stewart, C.C.; Laurent, C.M.; Leunes, A.D.; Bourgeois, A.E. Coping Skills of Olympic Developmental Soccer Athletes. Int. J. Sports Med. 2008, 29, 987–993. [Google Scholar] [CrossRef]
- Nicholls, A.R.; Polman, R.C.J. Coping in Sport: A Systematic Review. J. Sports Sci. 2007, 25, 11–31. [Google Scholar] [CrossRef]
- Ord, P.; Gijsbers, K. Pain Thresholds and Tolerances of Competitive Rowers and Their Use of Spontaneous Self-Generated Pain-Coping Strategies. Percept. Mot. Skills 2003, 97, 1219–1222. [Google Scholar] [CrossRef]
- Borg, G.A. Psychophysical Bases of Perceived Exertion. Med. Sci. Sports Exerc. 1982, 14, 377–381. [Google Scholar] [CrossRef]
- Enoka, R.M.; Stuart, D.G. Neurobiology of Muscle Fatigue. J. Appl. Physiol. 1985 1992, 72, 1631–1648. [Google Scholar] [CrossRef]
- Hamilton, A.L.; Killian, K.J.; Summers, E.; Jones, N.L. Muscle Strength, Symptom Intensity, and Exercise Capacity in Patients with Cardiorespiratory Disorders. Am. J. Respir. Crit. Care Med. 1995, 152, 2021–2031. [Google Scholar] [CrossRef]
- Proffitt, D.R.; Stefanucci, J.; Banton, T.; Epstein, W. The Role of Effort in Perceiving Distance. Psychol. Sci. 2003, 14, 106–112. [Google Scholar] [CrossRef]
- Noble, B.J.; Robertson, R.J. Perceived Exertion; Human Kinetics: Champaign, IL, USA, 1996; ISBN 978-0-88011-508-7. [Google Scholar]
- Chen, A.C.N.; Dworkin, S.F.; Haug, J.; Gehrig, J. Human Pain Responsivity in a Tonic Pain Model: Psychological Determinants. Pain 1989, 37, 143–160. [Google Scholar] [CrossRef] [PubMed]
- Bruckenthal, P. Assessment of Pain in the Elderly Adult. Clin. Geriatr. Med. 2008, 24, 213–236. [Google Scholar] [CrossRef] [PubMed]
- Moloney, N.A.; Hall, T.M.; O’Sullivan, T.C.; Doody, C.M. Reliability of Thermal Quantitative Sensory Testing of the Hand in a Cohort of Young, Healthy Adults: QST Hand Studies in Adults. Muscle Nerve 2011, 44, 547–552. [Google Scholar] [CrossRef] [PubMed]
- Price, D.D.; Riley, J.L.; Wade, J.B. Psychophysical Approaches to Measurement of the Dimensions and Stages of Pain. In Handbook of Pain Assessment, 2nd ed.; The Guilford Press: New York, NY, USA, 2001; pp. 53–75. ISBN 978-1-57230-488-8. [Google Scholar]
- Quiton, R.L.; Greenspan, J.D. Across- and within-Session Variability of Ratings of Painful Contact Heat Stimuli. Pain 2008, 137, 245–256. [Google Scholar] [CrossRef][Green Version]
- Scott, V.; Gijsbers, K. Pain Perception in Competitive Swimmers. Br. Med. J. Clin. Res. Ed. 1981, 283, 91–93. [Google Scholar] [CrossRef]
- O’Connor, P.J.; Cook, D.B. Exercise and Pain: The Neurobiology, Measurement, and Laboratory Study of Pain in Relation to Exercise in Humans. Exerc. Sport. Sci. Rev. 1999, 27, 119–166. [Google Scholar]
- Smith, L.D. The Effects of Competition and Exercise on Pain Perception. Ph.D. Thesis, University of California, Irvine, CA, USA, 2004. [Google Scholar]
- Spector, T.D.; Harris, P.A.; Hart, D.J.; Cicuttini, F.M.; Nandra, D.; Etherington, J.; Wolman, R.L.; Doyle, D.V. Risk of Osteoarthritis Associated with Long-Term Weight-Bearing Sports: A Radiologic Survey of the Hips and Knees in Female Ex-Athletes and Population Controls. Arthritis Rheum. 1996, 39, 988–995. [Google Scholar] [CrossRef]
- Ryan, E.D.; Kovacic, C.R. Pain Tolerance and Athletic Participation. Percept. Mot. Skills 1966, 22, 383–390. [Google Scholar] [CrossRef]
- Assa, T.; Geva, N.; Zarkh, Y.; Defrin, R. The Type of Sport Matters: Pain Perception of Endurance Athletes versus Strength Athletes. Eur. J. Pain 2019, 23, 686–696. [Google Scholar] [CrossRef]
- Millet, G.Y. Can Neuromuscular Fatigue Explain Running Strategies and Performance in Ultra-Marathons?: The Flush Model. Sports Med. 2011, 41, 489–506. [Google Scholar] [CrossRef] [PubMed]
- Hureau, T.J.; Romer, L.M.; Amann, M. The “Sensory Tolerance Limit”: A Hypothetical Construct Determining Exercise Performance? Eur. J. Sport. Sci. 2018, 18, 13–24. [Google Scholar] [CrossRef]
- Thomas, K.; Goodall, S.; Howatson, G. Performance Fatigability Is Not Regulated to A Peripheral Critical Threshold. Exerc. Sport. Sci. Rev. 2018, 46, 240–246. [Google Scholar] [CrossRef]
- Amann, M.; Venturelli, M.; Ives, S.J.; McDaniel, J.; Layec, G.; Rossman, M.J.; Richardson, R.S. Peripheral Fatigue Limits Endurance Exercise via a Sensory Feedback-Mediated Reduction in Spinal Motoneuronal Output. J. Appl. Physiol. 1985 2013, 115, 355–364. [Google Scholar] [CrossRef] [PubMed]
- Anshel, M.H.; Russell, K.G. Effect of Aerobic and Strength Training on Pain Tolerance, Pain Appraisal and Mood of Unfit Males as a Function of Pain Location. J. Sports Sci. 1994, 12, 535–547. [Google Scholar] [CrossRef] [PubMed]
- Woolf, C.J.; Ma, Q. Nociceptors—Noxious Stimulus Detectors. Neuron 2007, 55, 353–364. [Google Scholar] [CrossRef]
- Stojanovska, V.; McQuade, R.M.; Fraser, S.; Prakash, M.; Gondalia, S.; Stavely, R.; Palombo, E.; Apostolopoulos, V.; Sakkal, S.; Nurgali, K. Oxaliplatin-Induced Changes in Microbiota, TLR4+ Cells and Enhanced HMGB1 Expression in the Murine Colon. PLoS ONE 2018, 13, e0198359. [Google Scholar] [CrossRef]
- Craig, A.D. How Do You Feel? Interoception: The Sense of the Physiological Condition of the Body. Nat. Rev. Neurosci. 2002, 3, 655–666. [Google Scholar] [CrossRef] [PubMed]
- Craig, A.D.B. How Do You Feel--Now? The Anterior Insula and Human Awareness. Nat. Rev. Neurosci. 2009, 10, 59–70. [Google Scholar] [CrossRef] [PubMed]
- Craig, A.D. Interoception: The Sense of the Physiological Condition of the Body. Curr. Opin. Neurobiol. 2003, 13, 500–505. [Google Scholar] [CrossRef] [PubMed]
- Chen, W.G.; Schloesser, D.; Arensdorf, A.M.; Simmons, J.M.; Cui, C.; Valentino, R.; Gnadt, J.W.; Nielsen, L.; Hillaire-Clarke, C.S.; Spruance, V.; et al. The Emerging Science of Interoception: Sensing, Integrating, Interpreting, and Regulating Signals within the Self. Trends Neurosci. 2021, 44, 3–16. [Google Scholar] [CrossRef] [PubMed]
- Bonaz, B.; Lane, R.D.; Oshinsky, M.L.; Kenny, P.J.; Sinha, R.; Mayer, E.A.; Critchley, H.D. Diseases, Disorders, and Comorbidities of Interoception. Trends Neurosci. 2021, 44, 39–51. [Google Scholar] [CrossRef]
- Moses, F.M. The Effect of Exercise on the Gastrointestinal Tract. Sports Med. 1990, 9, 159–172. [Google Scholar] [CrossRef]
- Kayser, B. Exercise Starts and Ends in the Brain. Eur. J. Appl. Physiol. 2003, 90, 411–419. [Google Scholar] [CrossRef]
- Takeuchi, Y.; Mizukami, H.; Kudoh, K.; Osonoi, S.; Sasaki, T.; Kushibiki, H.; Ogasawara, S.; Hara, Y.; Igawa, A.; Pan, X.; et al. The Diversity and Abundance of Gut Microbiota Are Associated with the Pain Sensation Threshold in the Japanese Population. Neurobiol. Dis. 2022, 173, 105839. [Google Scholar] [CrossRef]
- Guo, R.; Chen, L.-H.; Xing, C.; Liu, T. Pain Regulation by Gut Microbiota: Molecular Mechanisms and Therapeutic Potential. Br. J. Anaesth. 2019, 123, 637–654. [Google Scholar] [CrossRef]
- Defaye, M.; Gervason, S.; Altier, C.; Berthon, J.-Y.; Ardid, D.; Filaire, E.; Carvalho, F.A. Microbiota: A Novel Regulator of Pain. J. Neural. Transm. 2020, 127, 445–465. [Google Scholar] [CrossRef] [PubMed]
- Schulkin, J.; Sterling, P. Allostasis: A Brain-Centered, Predictive Mode of Physiological Regulation. Trends Neurosci. 2019, 42, 740–752. [Google Scholar] [CrossRef] [PubMed]
- Fischer, A.G.; Ullsperger, M. An Update on the Role of Serotonin and Its Interplay with Dopamine for Reward. Front. Human Neurosci. 2017, 11, 484. [Google Scholar] [CrossRef] [PubMed]
- Human Microbiome Project Consortium. Structure, Function and Diversity of the Healthy Human Microbiome. Nature 2012, 486, 207–214. [Google Scholar] [CrossRef]
- Meeusen, R.; Smolders, I.; Sarre, S.; de Meirleir, K.; Keizer, H.; Serneels, M.; Ebinger, G.; Michotte, Y. Endurance Training Effects on Neurotransmitter Release in Rat Striatum: An in Vivo Microdialysis Study. Acta Physiol. Scand. 1997, 159, 335–341. [Google Scholar] [CrossRef]
- Strandwitz, P. Neurotransmitter Modulation by the Gut Microbiota. Brain Res. 2018, 1693, 128–133. [Google Scholar] [CrossRef]
- Zhao, X.; Zhang, Z.; Hu, B.; Huang, W.; Yuan, C.; Zou, L. Response of Gut Microbiota to Metabolite Changes Induced by Endurance Exercise. Front. Microbiol. 2018, 9, 765. [Google Scholar] [CrossRef]
- Glinert, A.; Turjeman, S.; Elliott, E.; Koren, O. Microbes, Metabolites and (Synaptic) Malleability, Oh My! The Effect of the Microbiome on Synaptic Plasticity. Biol. Rev. Camb. Philos. Soc. 2022, 97, 582–599. [Google Scholar] [CrossRef]
- Citri, A.; Malenka, R.C. Synaptic Plasticity: Multiple Forms, Functions, and Mechanisms. Neuropsychopharmacology 2008, 33, 18–41. [Google Scholar] [CrossRef]
- Pane, K.; Boccella, S.; Guida, F.; Franzese, M.; Maione, S.; Salvatore, M. Role of Gut Microbiota in Neuropathy and Neuropathic Pain States: A Systematic Preclinical Review. Neurobiol. Dis. 2022, 170, 105773. [Google Scholar] [CrossRef]
- Lin, B.; Wang, Y.; Zhang, P.; Yuan, Y.; Zhang, Y.; Chen, G. Gut Microbiota Regulates Neuropathic Pain: Potential Mechanisms and Therapeutic Strategy. J. Headache Pain. 2020, 21, 103. [Google Scholar] [CrossRef] [PubMed]
- Boer, C.G.; Radjabzadeh, D.; Medina-Gomez, C.; Garmaeva, S.; Schiphof, D.; Arp, P.; Koet, T.; Kurilshikov, A.; Fu, J.; Ikram, M.A.; et al. Intestinal Microbiome Composition and Its Relation to Joint Pain and Inflammation. Nat. Commun. 2019, 10, 4881. [Google Scholar] [CrossRef]
- Freidin, M.B.; Stalteri, M.A.; Wells, P.M.; Lachance, G.; Baleanu, A.-F.; Bowyer, R.C.E.; Kurilshikov, A.; Zhernakova, A.; Steves, C.J.; Williams, F.M.K. An Association between Chronic Widespread Pain and the Gut Microbiome. Rheumatology 2021, 60, 3727–3737. [Google Scholar] [CrossRef]
- Wang, Y.; Ye, X.; Ding, D.; Lu, Y. Characteristics of the Intestinal Flora in Patients with Peripheral Neuropathy Associated with Type 2 Diabetes. J. Int. Med. Res. 2020, 48, 300060520936806. [Google Scholar] [CrossRef]
- Chen, J.; Wang, A.; Wang, Q. Dysbiosis of the Gut Microbiome Is a Risk Factor for Osteoarthritis in Older Female Adults: A Case Control Study. BMC Bioinform. 2021, 22, 299. [Google Scholar] [CrossRef]
- Miquel, S.; Martín, R.; Lashermes, A.; Gillet, M.; Meleine, M.; Gelot, A.; Eschalier, A.; Ardid, D.; Bermúdez-Humarán, L.G.; Sokol, H.; et al. Anti-Nociceptive Effect of Faecalibacterium Prausnitzii in Non-Inflammatory IBS-like Models. Sci. Rep. 2016, 6, 19399. [Google Scholar] [CrossRef]
- Zhou, W.B.S.; Meng, J.; Zhang, J. Does Low Grade Systemic Inflammation Have a Role in Chronic Pain? Front. Mol. Neurosci. 2021, 14, 785214. [Google Scholar] [CrossRef] [PubMed]
- McDougall, C.J.; Wong, R.; Scudera, P.; Lesser, M.; DeCosse, J.J. Colonic Mucosal pH in Humans. Dig. Dis. Sci. 1993, 38, 542–545. [Google Scholar] [CrossRef] [PubMed]
- Nugent, S.G.; Kumar, D.; Rampton, D.S.; Evans, D.F. Intestinal Luminal pH in Inflammatory Bowel Disease: Possible Determinants and Implications for Therapy with Aminosalicylates and Other Drugs. Gut 2001, 48, 571–577. [Google Scholar] [CrossRef]
- Scheiman, J.; Luber, J.M.; Chavkin, T.A.; MacDonald, T.; Tung, A.; Pham, L.-D.; Wibowo, M.C.; Wurth, R.C.; Punthambaker, S.; Tierney, B.T.; et al. Meta-Omics Analysis of Elite Athletes Identifies a Performance-Enhancing Microbe That Functions via Lactate Metabolism. Nat. Med. 2019, 25, 1104–1109. [Google Scholar] [CrossRef]
- Grosicki, G.J.; Durk, R.P.; Bagley, J.R. Rapid Gut Microbiome Changes in a World-Class Ultramarathon Runner. Physiol. Rep. 2019, 7, e14313. [Google Scholar] [CrossRef]
- Costa, A.V.; Leite, G.; Resende, A.; Blachier, F.; Lancha, A.H., Jr. Exercise, Nutrition and Gut Microbiota: Possible Links and Consequences. Int. J. Sports Exerc. Med. 2017, 3, 069. [Google Scholar] [CrossRef]
- Lewis, K.; Lutgendorff, F.; Phan, V.; Söderholm, J.D.; Sherman, P.M.; McKay, D.M. Enhanced Translocation of Bacteria across Metabolically Stressed Epithelia Is Reduced by Butyrate. Inflamm. Bowel Dis. 2010, 16, 1138–1148. [Google Scholar] [CrossRef]
- Alkasir, R.; Li, J.; Li, X.; Jin, M.; Zhu, B. Human Gut Microbiota: The Links with Dementia Development. Protein Cell 2017, 8, 90–102. [Google Scholar] [CrossRef] [PubMed]
- Liu, W.-H.; Chuang, H.-L.; Huang, Y.-T.; Wu, C.-C.; Chou, G.-T.; Wang, S.; Tsai, Y.-C. Alteration of Behavior and Monoamine Levels Attributable to Lactobacillus Plantarum PS128 in Germ-Free Mice. Behav. Brain Res. 2016, 298, 202–209. [Google Scholar] [CrossRef] [PubMed]
- Dinan, T.G.; Stilling, R.M.; Stanton, C.; Cryan, J.F. Collective Unconscious: How Gut Microbes Shape Human Behavior. J. Psychiatr. Res. 2015, 63, 1–9. [Google Scholar] [CrossRef]
- Wall, R.; Cryan, J.F.; Ross, R.P.; Fitzgerald, G.F.; Dinan, T.G.; Stanton, C. Bacterial Neuroactive Compounds Produced by Psychobiotics. Adv. Exp. Med. Biol. 2014, 817, 221–239. [Google Scholar] [CrossRef]
- Lyte, M. Probiotics Function Mechanistically as Delivery Vehicles for Neuroactive Compounds: Microbial Endocrinology in the Design and Use of Probiotics. Bioessays 2011, 33, 574–581. [Google Scholar] [CrossRef]
- Shishov, V.A.; Kirovskaia, T.A.; Kudrin, V.S.; Oleskin, A.V. Amine neuromediators, their precursors, and oxidation products in the culture of Escherichia coli K-12. Prikl. Biokhim Mikrobiol. 2009, 45, 550–554. [Google Scholar] [CrossRef] [PubMed]
- González-Arancibia, C.; Urrutia-Piñones, J.; Illanes-González, J.; Martinez-Pinto, J.; Sotomayor-Zárate, R.; Julio-Pieper, M.; Bravo, J.A. Do Your Gut Microbes Affect Your Brain Dopamine? Psychopharmacology 2019, 236, 1611–1622. [Google Scholar] [CrossRef]
- Villageliú, D.; Lyte, M. Dopamine Production in Enterococcus Faecium: A Microbial Endocrinology-Based Mechanism for the Selection of Probiotics Based on Neurochemical-Producing Potential. PLoS ONE 2018, 13, e0207038. [Google Scholar] [CrossRef]
- Tetz, G.; Brown, S.M.; Hao, Y.; Tetz, V. Parkinson’s Disease and Bacteriophages as Its Overlooked Contributors. Sci. Rep. 2018, 8, 10812. [Google Scholar] [CrossRef]
- Oleskin, A.V.; Shenderov, B.A.; Rogovsky, V.S. Role of Neurochemicals in the Interaction between the Microbiota and the Immune and the Nervous System of the Host Organism. Probiotics Antimicrob. Proteins 2017, 9, 215–234. [Google Scholar] [CrossRef]
- Lyte, M. Microbial Endocrinology: Host-Microbiota Neuroendocrine Interactions Influencing Brain and Behavior. Gut Microbes 2014, 5, 381–389. [Google Scholar] [CrossRef] [PubMed]
- Tsavkelova, E.A.; Botvinko, I.V.; Kudrin, V.S.; Oleskin, A.V. Detection of Neurotransmitter Amines in Microorganisms with the Use of High-Performance Liquid Chromatography. Dokl. Biochem. 2000, 372, 115–117. [Google Scholar] [PubMed]
- Jenkins, T.A.; Nguyen, J.C.D.; Polglaze, K.E.; Bertrand, P.P. Influence of Tryptophan and Serotonin on Mood and Cognition with a Possible Role of the Gut-Brain Axis. Nutrients 2016, 8, 56. [Google Scholar] [CrossRef] [PubMed]
- Yano, J.M.; Yu, K.; Donaldson, G.P.; Shastri, G.G.; Ann, P.; Ma, L.; Nagler, C.R.; Ismagilov, R.F.; Mazmanian, S.K.; Hsiao, E.Y. Indigenous Bacteria from the Gut Microbiota Regulate Host Serotonin Biosynthesis. Cell 2015, 161, 264–276. [Google Scholar] [CrossRef]
- O’Mahony, S.M.; Clarke, G.; Borre, Y.E.; Dinan, T.G.; Cryan, J.F. Serotonin, Tryptophan Metabolism and the Brain-Gut-Microbiome Axis. Behav. Brain Res. 2015, 277, 32–48. [Google Scholar] [CrossRef]
- Clarke, G.; Stilling, R.M.; Kennedy, P.J.; Stanton, C.; Cryan, J.F.; Dinan, T.G. Minireview: Gut Microbiota: The Neglected Endocrine Organ. Mol. Endocrinol. 2014, 28, 1221–1238. [Google Scholar] [CrossRef]
- Zhao, X.; Qian, Y.; Li, G.; Yi, R.; Park, K.-Y.; Song, J.-L. Lactobacillus plantarum YS2 (Yak Yogurt Lactobacillus) Exhibited an Activity to Attenuate Activated Carbon-Induced Constipation in Male Kunming Mice. J. Dairy. Sci. 2019, 102, 26–36. [Google Scholar] [CrossRef]
- Giau, V.V.; Wu, S.Y.; Jamerlan, A.; An, S.S.A.; Kim, S.Y.; Hulme, J. Gut Microbiota and Their Neuroinflammatory Implications in Alzheimer’s Disease. Nutrients 2018, 10, 1765. [Google Scholar] [CrossRef] [PubMed]
- Landete, J.M.; De las Rivas, B.; Marcobal, A.; Muñoz, R. Updated Molecular Knowledge about Histamine Biosynthesis by Bacteria. Crit. Rev. Food Sci. Nutr. 2008, 48, 697–714. [Google Scholar] [CrossRef]
- Kawashima, K.; Misawa, H.; Moriwaki, Y.; Fujii, Y.X.; Fujii, T.; Horiuchi, Y.; Yamada, T.; Imanaka, T.; Kamekura, M. Ubiquitous Expression of Acetylcholine and Its Biological Functions in Life Forms without Nervous Systems. Life Sci. 2007, 80, 2206–2209. [Google Scholar] [CrossRef] [PubMed]
- Marquardt, P.; Spitznagel, G. [Bacterial acetylcholine production in artificial media]. Arzneimittelforschung 1959, 9, 456–465. [Google Scholar]
- Stephenson, M.; Rowatt, E. The Production of Acetylcholine by a Strain of Lactobacillus Plantarum. J. Gen. Microbiol. 1947, 1, 279–298. [Google Scholar] [CrossRef] [PubMed]
- Han, M.; Liao, W.-Y.; Wu, S.-M.; Gong, X.; Bai, C. Use of Streptococcus Thermophilus for the in Situ Production of γ-Aminobutyric Acid-Enriched Fermented Milk. J. Dairy. Sci. 2020, 103, 98–105. [Google Scholar] [CrossRef]
- Caspani, G.; Kennedy, S.; Foster, J.A.; Swann, J. Gut Microbial Metabolites in Depression: Understanding the Biochemical Mechanisms. Microb. Cell 2019, 6, 454–481. [Google Scholar] [CrossRef]
- Valenzuela, J.A.; Flórez, A.B.; Vázquez, L.; Vasek, O.M.; Mayo, B. Production of γ-Aminobutyric Acid (GABA) by Lactic Acid Bacteria Strains Isolated from Traditional, Starter-Free Dairy Products Made of Raw Milk. Benef. Microbes 2019, 10, 579–587. [Google Scholar] [CrossRef]
- Yunes, R.A.; Poluektova, E.U.; Dyachkova, M.S.; Klimina, K.M.; Kovtun, A.S.; Averina, O.V.; Orlova, V.S.; Danilenko, V.N. GABA Production and Structure of gadB/gadC Genes in Lactobacillus and Bifidobacterium Strains from Human Microbiota. Anaerobe 2016, 42, 197–204. [Google Scholar] [CrossRef]
- Laroute, V.; Yasaro, C.; Narin, W.; Mazzoli, R.; Pessione, E.; Cocaign-Bousquet, M.; Loubière, P. GABA Production in Lactococcus Lactis Is Enhanced by Arginine and Co-Addition of Malate. Front. Microbiol. 2016, 7, 1050. [Google Scholar] [CrossRef]
- Hagi, T.; Kobayashi, M.; Nomura, M. Metabolome Analysis of Milk Fermented by γ-Aminobutyric Acid-Producing Lactococcus lactis. J. Dairy Sci. 2016, 99, 994–1001. [Google Scholar] [CrossRef]
- Wu, Q.; Law, Y.-S.; Shah, N.P. Dairy Streptococcus Thermophilus Improves Cell Viability of Lactobacillus Brevis NPS-QW-145 and Its γ-Aminobutyric Acid Biosynthesis Ability in Milk. Sci. Rep. 2015, 5, 12885. [Google Scholar] [CrossRef] [PubMed]
- Dyachkova, M.S.; Klimina, K.M.; Kovtun, A.S.; Zakharevich, N.V.; Nezametdinova, V.Z.; Averina, O.V.; Danilenko, V.N. Draft Genome Sequences of Bifidobacterium Angulatum GT102 and Bifidobacterium Adolescentis 150: Focusing on the Genes Potentially Involved in the Gut-Brain Axis. Genome Announc. 2015, 3, e00709-15. [Google Scholar] [CrossRef] [PubMed]
- Barrett, E.; Ross, R.P.; O’Toole, P.W.; Fitzgerald, G.F.; Stanton, C. γ-Aminobutyric Acid Production by Culturable Bacteria from the Human Intestine. J. Appl. Microbiol. 2012, 113, 411–417. [Google Scholar] [CrossRef] [PubMed]
- Desbonnet, L.; Garrett, L.; Clarke, G.; Bienenstock, J.; Dinan, T.G. The Probiotic Bifidobacteria Infantis: An Assessment of Potential Antidepressant Properties in the Rat. J. Psychiatr. Res. 2008, 43, 164–174. [Google Scholar] [CrossRef]
- Allen, A.P.; Hutch, W.; Borre, Y.E.; Kennedy, P.J.; Temko, A.; Boylan, G.; Murphy, E.; Cryan, J.F.; Dinan, T.G.; Clarke, G. Bifidobacterium Longum 1714 as a Translational Psychobiotic: Modulation of Stress, Electrophysiology and Neurocognition in Healthy Volunteers. Transl. Psychiatry 2016, 6, e939. [Google Scholar] [CrossRef]
- Beck, B.R.; Park, G.-S.; Jeong, D.Y.; Lee, Y.H.; Im, S.; Song, W.H.; Kang, J. Multidisciplinary and Comparative Investigations of Potential Psychobiotic Effects of Lactobacillus Strains Isolated From Newborns and Their Impact on Gut Microbiota and Ileal Transcriptome in a Healthy Murine Model. Front. Cell Infect. Microbiol. 2019, 9, 269. [Google Scholar] [CrossRef]
- Benton, D.; Williams, C.; Brown, A. Impact of Consuming a Milk Drink Containing a Probiotic on Mood and Cognition. Eur. J. Clin. Nutr. 2007, 61, 355–361. [Google Scholar] [CrossRef]
- Chong, H.X.; Yusoff, N.a.A.; Hor, Y.-Y.; Lew, L.-C.; Jaafar, M.H.; Choi, S.-B.; Yusoff, M.S.B.; Wahid, N.; Abdullah, M.F.I.L.; Zakaria, N.; et al. Lactobacillus Plantarum DR7 Alleviates Stress and Anxiety in Adults: A Randomised, Double-Blind, Placebo-Controlled Study. Benef. Microbes 2019, 10, 355–373. [Google Scholar] [CrossRef]
- Colica, C.; Avolio, E.; Bollero, P.; Costa de Miranda, R.; Ferraro, S.; Sinibaldi Salimei, P.; De Lorenzo, A.; Di Renzo, L. Evidences of a New Psychobiotic Formulation on Body Composition and Anxiety. Mediators Inflamm. 2017, 2017, 5650627. [Google Scholar] [CrossRef]
- De Lorenzo, A.; Costacurta, M.; Merra, G.; Gualtieri, P.; Cioccoloni, G.; Marchetti, M.; Varvaras, D.; Docimo, R.; Di Renzo, L. Can Psychobiotics Intake Modulate Psychological Profile and Body Composition of Women Affected by Normal Weight Obese Syndrome and Obesity? A Double Blind Randomized Clinical Trial. J. Transl. Med. 2017, 15, 135. [Google Scholar] [CrossRef] [PubMed]
- Kato-Kataoka, A.; Nishida, K.; Takada, M.; Suda, K.; Kawai, M.; Shimizu, K.; Kushiro, A.; Hoshi, R.; Watanabe, O.; Igarashi, T.; et al. Fermented Milk Containing Lactobacillus Casei Strain Shirota Prevents the Onset of Physical Symptoms in Medical Students under Academic Examination Stress. Benef. Microbes 2016, 7, 153–156. [Google Scholar] [CrossRef] [PubMed]
- Liu, Y.-W.; Liong, M.-T.; Tsai, Y.-C. New Perspectives of Lactobacillus Plantarum as a Probiotic: The Gut-Heart-Brain Axis. J. Microbiol. 2018, 56, 601–613. [Google Scholar] [CrossRef]
- McKean, J.; Naug, H.; Nikbakht, E.; Amiet, B.; Colson, N. Probiotics and Subclinical Psychological Symptoms in Healthy Participants: A Systematic Review and Meta-Analysis. J. Altern. Complement. Med. 2017, 23, 249–258. [Google Scholar] [CrossRef]
- Messaoudi, M.; Lalonde, R.; Violle, N.; Javelot, H.; Desor, D.; Nejdi, A.; Bisson, J.-F.; Rougeot, C.; Pichelin, M.; Cazaubiel, M.; et al. Assessment of Psychotropic-like Properties of a Probiotic Formulation (Lactobacillus helveticus R0052 and Bifidobacterium longum R0175) in Rats and Human Subjects. Br. J. Nutr. 2011, 105, 755–764. [Google Scholar] [CrossRef]
- Ohsawa, K.; Nakamura, F.; Uchida, N.; Mizuno, S.; Yokogoshi, H. Lactobacillus Helveticus-Fermented Milk Containing Lactononadecapeptide (NIPPLTQTPVVVPPFLQPE) Improves Cognitive Function in Healthy Middle-Aged Adults: A Randomised, Double-Blind, Placebo-Controlled Trial. Int. J. Food Sci. Nutr. 2018, 69, 369–376. [Google Scholar] [CrossRef] [PubMed]
- Paesani, C.; Salvucci, E.; Moiraghi, M.; Fernandez Canigia, L.; Pérez, G.T. Arabinoxylan from Argentinian Whole Wheat Flour Promote the Growth of Lactobacillus Reuteri and Bifidobacterium Breve. Lett. Appl. Microbiol. 2019, 68, 142–148. [Google Scholar] [CrossRef]
- Pinto-Sanchez, M.I.; Hall, G.B.; Ghajar, K.; Nardelli, A.; Bolino, C.; Lau, J.T.; Martin, F.-P.; Cominetti, O.; Welsh, C.; Rieder, A.; et al. Probiotic Bifidobacterium Longum NCC3001 Reduces Depression Scores and Alters Brain Activity: A Pilot Study in Patients With Irritable Bowel Syndrome. Gastroenterology 2017, 153, 448–459.e8. [Google Scholar] [CrossRef]
- Pirbaglou, M.; Katz, J.; de Souza, R.J.; Stearns, J.C.; Motamed, M.; Ritvo, P. Probiotic Supplementation Can Positively Affect Anxiety and Depressive Symptoms: A Systematic Review of Randomized Controlled Trials. Nutr. Res. 2016, 36, 889–898. [Google Scholar] [CrossRef]
- Sarkar, A.; Lehto, S.M.; Harty, S.; Dinan, T.G.; Cryan, J.F.; Burnet, P.W.J. Psychobiotics and the Manipulation of Bacteria-Gut-Brain Signals. Trends Neurosci. 2016, 39, 763–781. [Google Scholar] [CrossRef]
- Skonieczna-Żydecka, K.; Marlicz, W.; Misera, A.; Koulaouzidis, A.; Łoniewski, I. Microbiome-The Missing Link in the Gut-Brain Axis: Focus on Its Role in Gastrointestinal and Mental Health. J. Clin. Med. 2018, 7, 521. [Google Scholar] [CrossRef]
- Steenbergen, L.; Sellaro, R.; van Hemert, S.; Bosch, J.A.; Colzato, L.S. A Randomized Controlled Trial to Test the Effect of Multispecies Probiotics on Cognitive Reactivity to Sad Mood. Brain Behav. Immun. 2015, 48, 258–264. [Google Scholar] [CrossRef]
- Tillisch, K.; Labus, J.; Kilpatrick, L.; Jiang, Z.; Stains, J.; Ebrat, B.; Guyonnet, D.; Legrain-Raspaud, S.; Trotin, B.; Naliboff, B.; et al. Consumption of Fermented Milk Product with Probiotic Modulates Brain Activity. Gastroenterology 2013, 144, 1394–1401. [Google Scholar] [CrossRef]
- Yunes, R.A.; Poluektova, E.U.; Vasileva, E.V.; Odorskaya, M.V.; Marsova, M.V.; Kovalev, G.I.; Danilenko, V.N. A Multi-Strain Potential Probiotic Formulation of GABA-Producing Lactobacillus Plantarum 90sk and Bifidobacterium Adolescentis 150 with Antidepressant Effects. Probiotics Antimicrob. Proteins 2020, 12, 973–979. [Google Scholar] [CrossRef]
- Sasaki, D.; Sasaki, K.; Kadowaki, Y.; Aotsuka, Y.; Kondo, A. Bifidogenic and Butyrogenic Effects of Young Barely Leaf Extract in an in Vitro Human Colonic Microbiota Model. AMB Express 2019, 9, 182. [Google Scholar] [CrossRef]
- Yang, T.-W.; Lee, W.-H.; Tu, S.-J.; Huang, W.-C.; Chen, H.-M.; Sun, T.-H.; Tsai, M.-C.; Wang, C.-C.; Chen, H.-Y.; Huang, C.-C.; et al. Enterotype-Based Analysis of Gut Microbiota along the Conventional Adenoma-Carcinoma Colorectal Cancer Pathway. Sci. Rep. 2019, 9, 10923. [Google Scholar] [CrossRef]
- Hsu, C.-N.; Lu, P.-C.; Hou, C.-Y.; Tain, Y.-L. Blood Pressure Abnormalities Associated with Gut Microbiota-Derived Short Chain Fatty Acids in Children with Congenital Anomalies of the Kidney and Urinary Tract. J. Clin. Med. 2019, 8, 1090. [Google Scholar] [CrossRef] [PubMed]
- Kieler, I.N.; Osto, M.; Hugentobler, L.; Puetz, L.; Gilbert, M.T.P.; Hansen, T.; Pedersen, O.; Reusch, C.E.; Zini, E.; Lutz, T.A.; et al. Diabetic Cats Have Decreased Gut Microbial Diversity and a Lack of Butyrate Producing Bacteria. Sci. Rep. 2019, 9, 4822. [Google Scholar] [CrossRef] [PubMed]
- Qin, P.; Zou, Y.; Dai, Y.; Luo, G.; Zhang, X.; Xiao, L. Characterization a Novel Butyric Acid-Producing Bacterium Collinsella aerofaciens Subsp. Shenzhenensis Subsp. Nov. Microorganisms 2019, 7, 78. [Google Scholar] [CrossRef] [PubMed]
- Jalanka, J.; Major, G.; Murray, K.; Singh, G.; Nowak, A.; Kurtz, C.; Silos-Santiago, I.; Johnston, J.M.; de Vos, W.M.; Spiller, R. The Effect of Psyllium Husk on Intestinal Microbiota in Constipated Patients and Healthy Controls. Int. J. Mol. Sci. 2019, 20, 433. [Google Scholar] [CrossRef] [PubMed]
- Aoe, S.; Nakamura, F.; Fujiwara, S. Effect of Wheat Bran on Fecal Butyrate-Producing Bacteria and Wheat Bran Combined with Barley on Bacteroides Abundance in Japanese Healthy Adults. Nutrients 2018, 10, 1980. [Google Scholar] [CrossRef]
- Shetty, S.A.; Zuffa, S.; Bui, T.P.N.; Aalvink, S.; Smidt, H.; De Vos, W.M. Reclassification of Eubacterium hallii as Anaerobutyricum hallii Gen. Nov., Comb. Nov., and Description of Anaerobutyricum soehngenii Sp. Nov., a Butyrate and Propionate-Producing Bacterium from Infant Faeces. Int. J. Syst. Evol. Microbiol. 2018, 68, 3741–3746. [Google Scholar] [CrossRef]
- Wang, J.; Ji, H.; Wang, S.; Liu, H.; Zhang, W.; Zhang, D.; Wang, Y. Probiotic Lactobacillus Plantarum Promotes Intestinal Barrier Function by Strengthening the Epithelium and Modulating Gut Microbiota. Front. Microbiol. 2018, 9, 1953. [Google Scholar] [CrossRef] [PubMed]
- Cha, K.H.; Lee, E.H.; Yoon, H.S.; Lee, J.H.; Kim, J.Y.; Kang, K.; Park, J.-S.; Jin, J.B.; Ko, G.; Pan, C.-H. Effects of Fermented Milk Treatment on Microbial Population and Metabolomic Outcomes in a Three-Stage Semi-Continuous Culture System. Food Chem. 2018, 263, 216–224. [Google Scholar] [CrossRef] [PubMed]
- Kim, S.; Goel, R.; Kumar, A.; Qi, Y.; Lobaton, G.; Hosaka, K.; Mohammed, M.; Handberg, E.M.; Richards, E.M.; Pepine, C.J.; et al. Imbalance of Gut Microbiome and Intestinal Epithelial Barrier Dysfunction in Patients with High Blood Pressure. Clin. Sci. 2018, 132, 701–718. [Google Scholar] [CrossRef]
- Belzer, C.; Chia, L.W.; Aalvink, S.; Chamlagain, B.; Piironen, V.; Knol, J.; de Vos, W.M. Microbial Metabolic Networks at the Mucus Layer Lead to Diet-Independent Butyrate and Vitamin B12 Production by Intestinal Symbionts. mBio 2017, 8, e00770-17. [Google Scholar] [CrossRef]
- Liu, F.; Li, P.; Chen, M.; Luo, Y.; Prabhakar, M.; Zheng, H.; He, Y.; Qi, Q.; Long, H.; Zhang, Y.; et al. Fructooligosaccharide (FOS) and Galactooligosaccharide (GOS) Increase Bifidobacterium but Reduce Butyrate Producing Bacteria with Adverse Glycemic Metabolism in Healthy Young Population. Sci. Rep. 2017, 7, 11789. [Google Scholar] [CrossRef]
- Berni Canani, R.; De Filippis, F.; Nocerino, R.; Laiola, M.; Paparo, L.; Calignano, A.; De Caro, C.; Coretti, L.; Chiariotti, L.; Gilbert, J.A.; et al. Specific Signatures of the Gut Microbiota and Increased Levels of Butyrate in Children Treated with Fermented Cow’s Milk Containing Heat-Killed Lactobacillus Paracasei CBA L74. Appl. Environ. Microbiol. 2017, 83, e01206-17. [Google Scholar] [CrossRef]
- Fujio-Vejar, S.; Vasquez, Y.; Morales, P.; Magne, F.; Vera-Wolf, P.; Ugalde, J.A.; Navarrete, P.; Gotteland, M. The Gut Microbiota of Healthy Chilean Subjects Reveals a High Abundance of the Phylum Verrucomicrobia. Front. Microbiol. 2017, 8, 1221. [Google Scholar] [CrossRef]
- Tamanai-Shacoori, Z.; Smida, I.; Bousarghin, L.; Loreal, O.; Meuric, V.; Fong, S.B.; Bonnaure-Mallet, M.; Jolivet-Gougeon, A. Roseburia Spp.: A Marker of Health? Future Microbiol. 2017, 12, 157–170. [Google Scholar] [CrossRef]
- Gophna, U.; Konikoff, T.; Nielsen, H.B. Oscillospira and Related Bacteria—From Metagenomic Species to Metabolic Features. Environ. Microbiol. 2017, 19, 835–841. [Google Scholar] [CrossRef]
- Anand, S.; Kaur, H.; Mande, S.S. Comparative In Silico Analysis of Butyrate Production Pathways in Gut Commensals and Pathogens. Front. Microbiol. 2016, 7, 1945. [Google Scholar] [CrossRef]
- Louis, P.; Flint, H.J. Formation of Propionate and Butyrate by the Human Colonic Microbiota. Environ. Microbiol. 2017, 19, 29–41. [Google Scholar] [CrossRef]
- Rivière, A.; Selak, M.; Lantin, D.; Leroy, F.; De Vuyst, L. Bifidobacteria and Butyrate-Producing Colon Bacteria: Importance and Strategies for Their Stimulation in the Human Gut. Front. Microbiol. 2016, 7, 979. [Google Scholar] [CrossRef] [PubMed]
- Rios-Covian, D.; Salazar, N.; Gueimonde, M.; de Los Reyes-Gavilan, C.G. Shaping the Metabolism of Intestinal Bacteroides Population through Diet to Improve Human Health. Front. Microbiol. 2017, 8, 376. [Google Scholar] [CrossRef]
- Takahashi, K.; Nishida, A.; Fujimoto, T.; Fujii, M.; Shioya, M.; Imaeda, H.; Inatomi, O.; Bamba, S.; Sugimoto, M.; Andoh, A. Reduced Abundance of Butyrate-Producing Bacteria Species in the Fecal Microbial Community in Crohn’s Disease. Digestion 2016, 93, 59–65. [Google Scholar] [CrossRef]
- Polansky, O.; Sekelova, Z.; Faldynova, M.; Sebkova, A.; Sisak, F.; Rychlik, I. Important Metabolic Pathways and Biological Processes Expressed by Chicken Cecal Microbiota. Appl. Environ. Microbiol. 2015, 82, 1569–1576. [Google Scholar] [CrossRef] [PubMed]
- Keshavarzian, A.; Green, S.J.; Engen, P.A.; Voigt, R.M.; Naqib, A.; Forsyth, C.B.; Mutlu, E.; Shannon, K.M. Colonic Bacterial Composition in Parkinson’s Disease. Mov. Disord. 2015, 30, 1351–1360. [Google Scholar] [CrossRef] [PubMed]
- Kant, R.; Rasinkangas, P.; Satokari, R.; Pietilä, T.E.; Palva, A. Genome Sequence of the Butyrate-Producing Anaerobic Bacterium Anaerostipes Hadrus PEL 85. Genome Announc. 2015, 3, e00224-15. [Google Scholar] [CrossRef]
- Damms-Machado, A.; Mitra, S.; Schollenberger, A.E.; Kramer, K.M.; Meile, T.; Königsrainer, A.; Huson, D.H.; Bischoff, S.C. Effects of Surgical and Dietary Weight Loss Therapy for Obesity on Gut Microbiota Composition and Nutrient Absorption. Biomed. Res. Int. 2015, 2015, 806248. [Google Scholar] [CrossRef] [PubMed]
- Consolandi, C.; Turroni, S.; Emmi, G.; Severgnini, M.; Fiori, J.; Peano, C.; Biagi, E.; Grassi, A.; Rampelli, S.; Silvestri, E.; et al. Behçet’s Syndrome Patients Exhibit Specific Microbiome Signature. Autoimmun. Rev. 2015, 14, 269–276. [Google Scholar] [CrossRef]
- Ferrario, C.; Taverniti, V.; Milani, C.; Fiore, W.; Laureati, M.; De Noni, I.; Stuknyte, M.; Chouaia, B.; Riso, P.; Guglielmetti, S. Modulation of Fecal Clostridiales Bacteria and Butyrate by Probiotic Intervention with Lactobacillus Paracasei DG Varies among Healthy Adults. J. Nutr. 2014, 144, 1787–1796. [Google Scholar] [CrossRef]
- Flint, H.J.; Duncan, S.H.; Scott, K.P.; Louis, P. Links between Diet, Gut Microbiota Composition and Gut Metabolism. Proc. Nutr. Soc. 2015, 74, 13–22. [Google Scholar] [CrossRef]
- Jost, T.; Lacroix, C.; Braegger, C.P.; Rochat, F.; Chassard, C. Vertical Mother-Neonate Transfer of Maternal Gut Bacteria via Breastfeeding. Environ. Microbiol. 2014, 16, 2891–2904. [Google Scholar] [CrossRef]
- Machiels, K.; Joossens, M.; Sabino, J.; De Preter, V.; Arijs, I.; Eeckhaut, V.; Ballet, V.; Claes, K.; Van Immerseel, F.; Verbeke, K.; et al. A Decrease of the Butyrate-Producing Species Roseburia Hominis and Faecalibacterium Prausnitzii Defines Dysbiosis in Patients with Ulcerative Colitis. Gut 2014, 63, 1275–1283. [Google Scholar] [CrossRef]
- Załęski, A.; Banaszkiewicz, A.; Walkowiak, J. Butyric Acid in Irritable Bowel Syndrome. Prz. Gastroenterol. 2013, 8, 350–353. [Google Scholar] [CrossRef]
- Louis, P.; Young, P.; Holtrop, G.; Flint, H.J. Diversity of Human Colonic Butyrate-Producing Bacteria Revealed by Analysis of the Butyryl-CoA:Acetate CoA-Transferase Gene. Environ. Microbiol. 2010, 12, 304–314. [Google Scholar] [CrossRef]
- Louis, P.; Flint, H.J. Diversity, Metabolism and Microbial Ecology of Butyrate-Producing Bacteria from the Human Large Intestine. FEMS Microbiol. Lett. 2009, 294, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Lawson, P.A.; Song, Y.; Liu, C.; Molitoris, D.R.; Vaisanen, M.-L.; Collins, M.D.; Finegold, S.M. Anaerotruncus colihominis Gen. Nov., Sp. Nov., from Human Faeces. Int. J. Syst. Evol. Microbiol. 2004, 54, 413–417. [Google Scholar] [CrossRef] [PubMed]
- Bunesova, V.; Lacroix, C.; Schwab, C. Mucin Cross-Feeding of Infant Bifidobacteria and Eubacterium Hallii. Microb. Ecol. 2018, 75, 228–238. [Google Scholar] [CrossRef]
- De Paepe, K.; Verspreet, J.; Verbeke, K.; Raes, J.; Courtin, C.M.; Van de Wiele, T. Introducing Insoluble Wheat Bran as a Gut Microbiota Niche in an in Vitro Dynamic Gut Model Stimulates Propionate and Butyrate Production and Induces Colon Region Specific Shifts in the Luminal and Mucosal Microbial Community. Environ. Microbiol. 2018, 20, 3406–3426. [Google Scholar] [CrossRef]
- El Hage, R.; Hernandez-Sanabria, E.; Calatayud Arroyo, M.; Props, R.; Van de Wiele, T. Propionate-Producing Consortium Restores Antibiotic-Induced Dysbiosis in a Dynamic in Vitro Model of the Human Intestinal Microbial Ecosystem. Front. Microbiol. 2019, 10, 1206. [Google Scholar] [CrossRef] [PubMed]
- Engels, C.; Ruscheweyh, H.-J.; Beerenwinkel, N.; Lacroix, C.; Schwab, C. The Common Gut Microbe Eubacterium Hallii Also Contributes to Intestinal Propionate Formation. Front. Microbiol. 2016, 7, 713. [Google Scholar] [CrossRef]
- Guan, N.; Li, J.; Shin, H.-D.; Du, G.; Chen, J.; Liu, L. Metabolic Engineering of Acid Resistance Elements to Improve Acid Resistance and Propionic Acid Production of Propionibacterium jensenii. Biotechnol. Bioeng. 2016, 113, 1294–1304. [Google Scholar] [CrossRef]
- Guan, N.; Du, B.; Li, J.; Shin, H.-D.; Chen, R.R.; Du, G.; Chen, J.; Liu, L. Comparative Genomics and Transcriptomics Analysis-Guided Metabolic Engineering of Propionibacterium Acidipropionici for Improved Propionic Acid Production. Biotechnol. Bioeng. 2018, 115, 483–494. [Google Scholar] [CrossRef] [PubMed]
- Gutiérrez-Díaz, I.; Fernández-Navarro, T.; Sánchez, B.; Margolles, A.; González, S. Mediterranean Diet and Faecal Microbiota: A Transversal Study. Food Funct. 2016, 7, 2347–2356. [Google Scholar] [CrossRef] [PubMed]
- Larsen, N.; Bussolo de Souza, C.; Krych, L.; Barbosa Cahú, T.; Wiese, M.; Kot, W.; Hansen, K.M.; Blennow, A.; Venema, K.; Jespersen, L. Potential of Pectins to Beneficially Modulate the Gut Microbiota Depends on Their Structural Properties. Front. Microbiol. 2019, 10, 223. [Google Scholar] [CrossRef]
- Louis, P.; Hold, G.L.; Flint, H.J. The Gut Microbiota, Bacterial Metabolites and Colorectal Cancer. Nat. Rev. Microbiol. 2014, 12, 661–672. [Google Scholar] [CrossRef]
- Luo, J.; Ranadheera, C.S.; King, S.; Evans, C.A.; Baines, S.K. Potential Influence of Dairy Propionibacteria on the Growth and Acid Metabolism of Streptococcus Bovis and Megasphaera Elsdenii. Benef. Microbes 2017, 8, 111–119. [Google Scholar] [CrossRef]
- Maki, J.J.; Looft, T. Megasphaera stantonii Sp. Nov., a Butyrate-Producing Bacterium Isolated from the Cecum of a Healthy Chicken. Int. J. Syst. Evol. Microbiol. 2018, 68, 3409–3415. [Google Scholar] [CrossRef] [PubMed]
- Oh, S.; Koike, S.; Kobayashi, Y. Effect of Ginkgo Extract Supplementation on in Vitro Rumen Fermentation and Bacterial Profiles under Different Dietary Conditions. Anim. Sci. J. 2017, 88, 1737–1743. [Google Scholar] [CrossRef]
- O’Hara, E.; Kelly, A.; McCabe, M.S.; Kenny, D.A.; Guan, L.L.; Waters, S.M. Effect of a Butyrate-Fortified Milk Replacer on Gastrointestinal Microbiota and Products of Fermentation in Artificially Reared Dairy Calves at Weaning. Sci. Rep. 2018, 8, 14901. [Google Scholar] [CrossRef]
- Piwowarek, K.; Lipińska, E.; Hać-Szymańczuk, E.; Kieliszek, M.; Ścibisz, I. Propionibacterium Spp.-Source of Propionic Acid, Vitamin B12, and Other Metabolites Important for the Industry. Appl. Microbiol. Biotechnol. 2018, 102, 515–538. [Google Scholar] [CrossRef] [PubMed]
- Piwowarek, K.; Lipińska, E.; Hać-Szymańczuk, E.; Rudziak, A.; Kieliszek, M. Optimization of Propionic Acid Production in Apple Pomace Extract with Propionibacterium Freudenreichii. Prep. Biochem. Biotechnol. 2019, 49, 974–986. [Google Scholar] [CrossRef]
- Reichardt, N.; Duncan, S.H.; Young, P.; Belenguer, A.; McWilliam Leitch, C.; Scott, K.P.; Flint, H.J.; Louis, P. Phylogenetic Distribution of Three Pathways for Propionate Production within the Human Gut Microbiota. ISME J. 2014, 8, 1323–1335. [Google Scholar] [CrossRef]
- Ríos-Covián, D.; Ruas-Madiedo, P.; Margolles, A.; Gueimonde, M.; de los Reyes-Gavilán, C.G.; Salazar, N. Intestinal Short Chain Fatty Acids and Their Link with Diet and Human Health. Front. Microbiol. 2016, 7, 185. [Google Scholar] [CrossRef]
- Shigeno, Y.; Kitahara, M.; Shime, M.; Benno, Y. Phascolarctobacterium wakonense Sp. Nov., Isolated from Common Marmoset (Callithrix jacchus) Faeces. Int. J. Syst. Evol. Microbiol. 2019, 69, 1941–1946. [Google Scholar] [CrossRef]
- Shimizu, J.; Kubota, T.; Takada, E.; Takai, K.; Fujiwara, N.; Arimitsu, N.; Murayama, M.A.; Ueda, Y.; Wakisaka, S.; Suzuki, T.; et al. Propionate-Producing Bacteria in the Intestine May Associate with Skewed Responses of IL10-Producing Regulatory T Cells in Patients with Relapsing Polychondritis. PLoS ONE 2018, 13, e0203657. [Google Scholar] [CrossRef] [PubMed]
- Tingirikari, J.M.R. In-Vitro Prebiotic Analysis of Microbiota Accessible Pectic Polysaccharides. Curr. Microbiol. 2019, 76, 1452–1460. [Google Scholar] [CrossRef]
- Van Herreweghen, F.; De Paepe, K.; Roume, H.; Kerckhof, F.-M.; Van de Wiele, T. Mucin Degradation Niche as a Driver of Microbiome Composition and Akkermansia Muciniphila Abundance in a Dynamic Gut Model Is Donor Independent. FEMS Microbiol. Ecol. 2018, 94, fiy186. [Google Scholar] [CrossRef] [PubMed]
- Watanabe, Y.; Nagai, F.; Morotomi, M. Characterization of Phascolarctobacterium Succinatutens Sp. Nov., an Asaccharolytic, Succinate-Utilizing Bacterium Isolated from Human Feces. Appl. Environ. Microbiol. 2012, 78, 511–518. [Google Scholar] [CrossRef] [PubMed]
- Wu, F.; Guo, X.; Zhang, J.; Zhang, M.; Ou, Z.; Peng, Y. Phascolarctobacterium Faecium Abundant Colonization in Human Gastrointestinal Tract. Exp. Ther. Med. 2017, 14, 3122–3126. [Google Scholar] [CrossRef] [PubMed]
- Yoshikawa, S.; Araoka, R.; Kajihara, Y.; Ito, T.; Miyamoto, H.; Kodama, H. Valerate Production by Megasphaera Elsdenii Isolated from Pig Feces. J. Biosci. Bioeng. 2018, 125, 519–524. [Google Scholar] [CrossRef]
- Zhang, Y.; Yu, K.; Chen, H.; Su, Y.; Zhu, W. Caecal Infusion of the Short-Chain Fatty Acid Propionate Affects the Microbiota and Expression of Inflammatory Cytokines in the Colon in a Fistula Pig Model. Microb. Biotechnol. 2018, 11, 859–868. [Google Scholar] [CrossRef]
- Zoetendal, E.G.; Raes, J.; van den Bogert, B.; Arumugam, M.; Booijink, C.C.G.M.; Troost, F.J.; Bork, P.; Wels, M.; de Vos, W.M.; Kleerebezem, M. The Human Small Intestinal Microbiota Is Driven by Rapid Uptake and Conversion of Simple Carbohydrates. ISME J. 2012, 6, 1415–1426. [Google Scholar] [CrossRef]
- Fu, X.; Liu, Z.; Zhu, C.; Mou, H.; Kong, Q. Nondigestible Carbohydrates, Butyrate, and Butyrate-Producing Bacteria. Crit. Rev. Food Sci. Nutr. 2019, 59, S130–S152. [Google Scholar] [CrossRef]
- Parada Venegas, D.; De la Fuente, M.K.; Landskron, G.; González, M.J.; Quera, R.; Dijkstra, G.; Harmsen, H.J.M.; Faber, K.N.; Hermoso, M.A. Short Chain Fatty Acids (SCFAs)-Mediated Gut Epithelial and Immune Regulation and Its Relevance for Inflammatory Bowel Diseases. Front. Immunol. 2019, 10, 277. [Google Scholar]
- Trompette, A.; Gollwitzer, E.S.; Yadava, K.; Sichelstiel, A.K.; Sprenger, N.; Ngom-Bru, C.; Blanchard, C.; Junt, T.; Nicod, L.P.; Harris, N.L.; et al. Gut Microbiota Metabolism of Dietary Fiber Influences Allergic Airway Disease and Hematopoiesis. Nat. Med. 2014, 20, 159–166. [Google Scholar] [CrossRef]
- Dinan, T.G.; Cryan, J.F. Microbes, Immunity, and Behavior: Psychoneuroimmunology Meets the Microbiome. Neuropsychopharmacology 2017, 42, 178–192. [Google Scholar] [CrossRef] [PubMed]
- Barcenilla, A.; Pryde, S.E.; Martin, J.C.; Duncan, S.H.; Stewart, C.S.; Henderson, C.; Flint, H.J. Phylogenetic Relationships of Butyrate-Producing Bacteria from the Human Gut. Appl. Environ. Microbiol. 2000, 66, 1654–1661. [Google Scholar] [CrossRef]
- Kukkar, A.; Singh, N.; Jaggi, A.S. Attenuation of Neuropathic Pain by Sodium Butyrate in an Experimental Model of Chronic Constriction Injury in Rats. J. Formos. Med. Assoc. 2014, 113, 921–928. [Google Scholar] [CrossRef]
- Bailey, M.T.; Dowd, S.E.; Galley, J.D.; Hufnagle, A.R.; Allen, R.G.; Lyte, M. Exposure to a Social Stressor Alters the Structure of the Intestinal Microbiota: Implications for Stressor-Induced Immunomodulation. Brain Behav. Immun. 2011, 25, 397–407. [Google Scholar] [CrossRef]
- Zhao, K.; Yu, L.; Wang, X.; He, Y.; Lu, B. Clostridium Butyricum Regulates Visceral Hypersensitivity of Irritable Bowel Syndrome by Inhibiting Colonic Mucous Low Grade Inflammation through Its Action on NLRP6. Acta Biochim. Biophys Sin. 2018, 50, 216–223. [Google Scholar] [CrossRef]
- Nankova, B.B.; Agarwal, R.; MacFabe, D.F.; La Gamma, E.F. Enteric Bacterial Metabolites Propionic and Butyric Acid Modulate Gene Expression, Including CREB-Dependent Catecholaminergic Neurotransmission, in PC12 Cells--Possible Relevance to Autism Spectrum Disorders. PLoS ONE 2014, 9, e103740. [Google Scholar] [CrossRef]
- Berthoud, H.-R.; Neuhuber, W.L. Functional and Chemical Anatomy of the Afferent Vagal System. Auton. Neurosci. Basic Clin. 2000, 85, 1–17. [Google Scholar] [CrossRef]
- Wang, X. Evidences for Vagus Nerve in Maintenance of Immune Balance and Transmission of Immune Information from Gut to Brain in STM-Infected Rats. World J. Gastroenterol. 2002, 8, 540. [Google Scholar] [CrossRef]
- Goehler, L.E.; Gaykema, R.P.A.; Opitz, N.; Reddaway, R.; Badr, N.; Lyte, M. Activation in Vagal Afferents and Central Autonomic Pathways: Early Responses to Intestinal Infection with Campylobacter Jejuni. Brain Behav. Immun. 2005, 19, 334–344. [Google Scholar] [CrossRef]
- Tanida, M.; Yamano, T.; Maeda, K.; Okumura, N.; Fukushima, Y.; Nagai, K. Effects of Intraduodenal Injection of Lactobacillus Johnsonii La1 on Renal Sympathetic Nerve Activity and Blood Pressure in Urethane-Anesthetized Rats. Neurosci. Lett. 2005, 389, 109–114. [Google Scholar] [CrossRef]
- Bravo, J.A.; Forsythe, P.; Chew, M.V.; Escaravage, E.; Savignac, H.M.; Dinan, T.G.; Bienenstock, J.; Cryan, J.F. Ingestion of Lactobacillus Strain Regulates Emotional Behavior and Central GABA Receptor Expression in a Mouse via the Vagus Nerve. Proc. Natl. Acad. Sci. USA 2011, 108, 16050–16055. [Google Scholar] [CrossRef]
- Bercik, P.; Park, A.J.; Sinclair, D.; Khoshdel, A.; Lu, J.; Huang, X.; Deng, Y.; Blennerhassett, P.A.; Fahnestock, M.; Moine, D.; et al. The Anxiolytic Effect of Bifidobacterium Longum NCC3001 Involves Vagal Pathways for Gut-Brain Communication. Neurogastroenterol. Motil. 2011, 23, 1132–1139. [Google Scholar] [CrossRef]
- de Morree, H.M.; Klein, C.; Marcora, S.M. Perception of Effort Reflects Central Motor Command during Movement Execution. Psychophysiology 2012, 49, 1242–1253. [Google Scholar] [CrossRef]
- Meeusen, R.; Watson, P.; Hasegawa, H.; Roelands, B.; Piacentini, M.F. Central Fatigue: The Serotonin Hypothesis and Beyond. Sports Med. 2006, 36, 881–909. [Google Scholar] [CrossRef]
- Nybo, L.; Secher, N.H. Cerebral Perturbations Provoked by Prolonged Exercise. Prog. Neurobiol. 2004, 72, 223–261. [Google Scholar] [CrossRef]
- Newsholme, E.A.; Blomstrand, E.; Ekblom, B. Physical and Mental Fatigue: Metabolic Mechanisms and Importance of Plasma Amino Acids. Br. Med. Bull. 1992, 48, 477–495. [Google Scholar] [CrossRef]
- Crowell, M.D. Role of Serotonin in the Pathophysiology of the Irritable Bowel Syndrome. Br. J. Pharmacol. 2004, 141, 1285–1293. [Google Scholar] [CrossRef]
- Kaelberer, M.M.; Buchanan, K.L.; Klein, M.E.; Barth, B.B.; Montoya, M.M.; Shen, X.; Bohórquez, D.V. A Gut-Brain Neural Circuit for Nutrient Sensory Transduction. Science 2018, 361, eaat5236. [Google Scholar] [CrossRef]
- Fundytus, M.E. Glutamate Receptors and Nociception: Implications for the Drug Treatment of Pain. CNS Drugs 2001, 15, 29–58. [Google Scholar] [CrossRef]
- Chang, C.-H.; Lin, C.-H.; Lane, H.-Y. D-Glutamate and Gut Microbiota in Alzheimer’s Disease. Int. J. Mol. Sci. 2020, 21, 2676. [Google Scholar] [CrossRef]
- Du, X.; Hao, H.; Yang, Y.; Huang, S.; Wang, C.; Gigout, S.; Ramli, R.; Li, X.; Jaworska, E.; Edwards, I.; et al. Local GABAergic Signaling within Sensory Ganglia Controls Peripheral Nociceptive Transmission. J. Clin. Investig. 2017, 127, 1741–1756. [Google Scholar] [CrossRef]
- Valenstein, E.S. The Discovery of Chemical Neurotransmitters. Brain Cogn. 2002, 49, 73–95. [Google Scholar] [CrossRef]
- Romano, S.; Savva, G.M.; Bedarf, J.R.; Charles, I.G.; Hildebrand, F.; Narbad, A. Meta-Analysis of the Parkinson’s Disease Gut Microbiome Suggests Alterations Linked to Intestinal Inflammation. NPJ Parkinsons Dis. 2021, 7, 27. [Google Scholar] [CrossRef]
- Sharon, G.; Sampson, T.R.; Geschwind, D.H.; Mazmanian, S.K. The Central Nervous System and the Gut Microbiome. Cell 2016, 167, 915–932. [Google Scholar] [CrossRef]
- Horiuchi, Y.; Kimura, R.; Kato, N.; Fujii, T.; Seki, M.; Endo, T.; Kato, T.; Kawashima, K. Evolutional Study on Acetylcholine Expression. Life Sci. 2003, 72, 1745–1756. [Google Scholar] [CrossRef]
- Koussoulas, K.; Swaminathan, M.; Fung, C.; Bornstein, J.C.; Foong, J.P.P. Neurally Released GABA Acts via GABAC Receptors to Modulate Ca2+ Transients Evoked by Trains of Synaptic Inputs, but Not Responses Evoked by Single Stimuli, in Myenteric Neurons of Mouse Ileum. Front. Physiol. 2018, 9, 97. [Google Scholar] [CrossRef]
- Davis, J.M.; Bailey, S.P. Possible Mechanisms of Central Nervous System Fatigue during Exercise. Med. Sci. Sports Exerc. 1997, 29, 45–57. [Google Scholar] [CrossRef]
- Bliss, E.L.; Ailion, J. Relationship of Stress and Activity to Brain Dopamine and Homovanillic Acid. Life Sci. I 1971, 10, 1161–1169. [Google Scholar] [CrossRef]
- Foley, T.E.; Fleshner, M. Neuroplasticity of Dopamine Circuits After Exercise: Implications for Central Fatigue. Neuromol Med. 2008, 10, 67–80. [Google Scholar] [CrossRef]
- Klass, M.; Roelands, B.; Lévénez, M.; Fontenelle, V.; Pattyn, N.; Meeusen, R.; Duchateau, J. Effects of Noradrenaline and Dopamine on Supraspinal Fatigue in Well-Trained Men. Med. Sci. Sports Exerc. 2012, 44, 2299–2308. [Google Scholar] [CrossRef]
- Klass, M.; Duchateau, J.; Rabec, S.; Meeusen, R.; Roelands, B. Noradrenaline Reuptake Inhibition Impairs Cortical Output and Limits Endurance Time. Med. Sci. Sports Exerc. 2016, 48, 1014–1023. [Google Scholar] [CrossRef]
- Roelands, B.; Goekint, M.; Heyman, E.; Piacentini, M.F.; Watson, P.; Hasegawa, H.; Buyse, L.; Pauwels, F.; De Schutter, G.; Meeusen, R. Acute Norepinephrine Reuptake Inhibition Decreases Performance in Normal and High Ambient Temperature. J. Appl. Physiol. 1985 2008, 105, 206–212. [Google Scholar] [CrossRef]
- Connell, C.J.W.; Thompson, B.; Turuwhenua, J.; Srzich, A.; Gant, N. Fatigue-Related Impairments in Oculomotor Control Are Prevented by Norepinephrine-Dopamine Reuptake Inhibition. Sci. Rep. 2017, 7, 42726. [Google Scholar] [CrossRef]
- Zheng, X.; Hasegawa, H. Central Dopaminergic Neurotransmission Plays an Important Role in Thermoregulation and Performance during Endurance Exercise. Eur. J. Sport Sci. 2016, 16, 818–828. [Google Scholar] [CrossRef]
- Moeller, S.J.; Tomasi, D.; Honorio, J.; Volkow, N.D.; Goldstein, R.Z. Dopaminergic Involvement during Mental Fatigue in Health and Cocaine Addiction. Transl. Psychiatry 2012, 2, e176. [Google Scholar] [CrossRef]
- Acworth, I.; Nicholass, J.; Morgan, B.; Newsholme, E.A. Effect of Sustained Exercise on Concentrations of Plasma Aromatic and Branched-Chain Amino Acids and Brain Amines. Biochem. Biophys. Res. Commun. 1986, 137, 149–153. [Google Scholar] [CrossRef]
- Newsholme, E.A.; Blomstrand, E. Branched-Chain Amino Acids and Central Fatigue. J. Nutr. 2006, 136, 274S–276S. [Google Scholar] [CrossRef]
- Jacobs, B.L.; Fornal, C.A. Activity of Serotonergic Neurons in Behaving Animals. Neuropsychopharmacology 1999, 21, 9–15. [Google Scholar] [CrossRef]
- Davis, J.M.; Alderson, N.L.; Welsh, R.S. Serotonin and Central Nervous System Fatigue: Nutritional Considerations. Am. J. Clin. Nutr. 2000, 72, 573S–578S. [Google Scholar] [CrossRef]
- Valles-Colomer, M.; Falony, G.; Darzi, Y.; Tigchelaar, E.F.; Wang, J.; Tito, R.Y.; Schiweck, C.; Kurilshikov, A.; Joossens, M.; Wijmenga, C.; et al. The Neuroactive Potential of the Human Gut Microbiota in Quality of Life and Depression. Nat. Microbiol. 2019, 4, 623–632. [Google Scholar] [CrossRef]
- Lagomarsino, V.N.; Kostic, A.D.; Chiu, I.M. Mechanisms of Microbial–Neuronal Interactions in Pain and Nociception. Neurobiol. Pain 2021, 9, 100056. [Google Scholar] [CrossRef]
- Suzuki, T. Regulation of Intestinal Epithelial Permeability by Tight Junctions. Cell Mol. Life Sci. 2013, 70, 631–659. [Google Scholar] [CrossRef]
- Petri, C.; Mascherini, G.; Izzicupo, P.; Rosati, D.; Cerboneschi, M.; Smeazzetto, S.; Arrones, L.S. Gut Microbiota and Physical Activity Level: Characterization from Sedentary to Soccer Players. Biol. Sport. 2024, 41, 169–176. [Google Scholar] [CrossRef]
- Han, M.; Yang, K.; Yang, P.; Zhong, C.; Chen, C.; Wang, S.; Lu, Q.; Ning, K. Stratification of Athletes’ Gut Microbiota: The Multifaceted Hubs Associated with Dietary Factors, Physical Characteristics and Performance. Gut Microbes 2020, 12, 1842991. [Google Scholar] [CrossRef] [PubMed]
- Kulecka, M.; Fraczek, B.; Mikula, M.; Zeber-Lubecka, N.; Karczmarski, J.; Paziewska, A.; Ambrozkiewicz, F.; Jagusztyn-Krynicka, K.; Cieszczyk, P.; Ostrowski, J. The Composition and Richness of the Gut Microbiota Differentiate the Top Polish Endurance Athletes from Sedentary Controls. Gut Microbes 2020, 11, 1374–1384. [Google Scholar] [CrossRef] [PubMed]
- Taylor, J.L.; Amann, M.; Duchateau, J.; Meeusen, R.; Rice, C.L. Neural Contributions to Muscle Fatigue: From the Brain to the Muscle and Back Again. Med. Sci. Sports Exerc. 2016, 48, 2294–2306. [Google Scholar] [CrossRef] [PubMed]
- Zhao, S.; Lin, H.; Chi, A.; Gao, Y. Effects of Acute Exercise Fatigue on the Spatiotemporal Dynamics of Resting-State Large-Scale Brain Networks. Front. Neurosci. 2023, 17, 986368. [Google Scholar] [CrossRef] [PubMed]
- Martin, K.; Staiano, W.; Menaspà, P.; Hennessey, T.; Marcora, S.; Keegan, R.; Thompson, K.G.; Martin, D.; Halson, S.; Rattray, B. Superior Inhibitory Control and Resistance to Mental Fatigue in Professional Road Cyclists. PLoS ONE 2016, 11, e0159907. [Google Scholar] [CrossRef]
- Daneshgar-Pironneau, S.; Audiffren, M.; Lorcery, A.; Benraïss, A.; Mirabelli, F.; Gargioli, D.; André, N. Endurance Athletes Are More Resistant to Mental Fatigue Than Nonathletes. Res. Q. Exerc. Sport 2025, 1–12. [Google Scholar] [CrossRef]
- Audiffren, M.; André, N. The Exercise-Cognition Relationship: A Virtuous Circle. J. Sport. Health Sci. 2019, 8, 339–347. [Google Scholar] [CrossRef]
- Cordeiro, L.M.S.; Rabelo, P.C.R.; Moraes, M.M.; Teixeira-Coelho, F.; Coimbra, C.C.; Wanner, S.P.; Soares, D.D. Physical Exercise-Induced Fatigue: The Role of Serotonergic and Dopaminergic Systems. Braz. J. Med. Biol. Res. 2017, 50, e6432. [Google Scholar] [CrossRef]
- Hamamah, S.; Aghazarian, A.; Nazaryan, A.; Hajnal, A.; Covasa, M. Role of Microbiota-Gut-Brain Axis in Regulating Dopaminergic Signaling. Biomedicines 2022, 10, 436. [Google Scholar] [CrossRef]
- Varghese, S.; Rao, S.; Khattak, A.; Zamir, F.; Chaari, A. Physical Exercise and the Gut Microbiome: A Bidirectional Relationship Influencing Health and Performance. Nutrients 2024, 16, 3663. [Google Scholar] [CrossRef]
- Berciano, S.; Figueiredo, J.; Brisbois, T.D.; Alford, S.; Koecher, K.; Eckhouse, S.; Ciati, R.; Kussmann, M.; Ordovas, J.M.; Stebbins, K.; et al. Precision Nutrition: Maintaining Scientific Integrity While Realizing Market Potential. Front. Nutr. 2022, 9, 979665. [Google Scholar] [CrossRef]
- Kim, N.; Yun, M.; Oh, Y.J.; Choi, H.-J. Mind-Altering with the Gut: Modulation of the Gut-Brain Axis with Probiotics. J. Microbiol. 2018, 56, 172–182. [Google Scholar] [CrossRef] [PubMed]
- Gibson, G.R.; Hutkins, R.; Sanders, M.E.; Prescott, S.L.; Reimer, R.A.; Salminen, S.J.; Scott, K.; Stanton, C.; Swanson, K.S.; Cani, P.D.; et al. Expert Consensus Document: The International Scientific Association for Probiotics and Prebiotics (ISAPP) Consensus Statement on the Definition and Scope of Prebiotics. Nat. Rev. Gastroenterol. Hepatol. 2017, 14, 491–502. [Google Scholar] [CrossRef] [PubMed]
- Österlund, P.; Ruotsalainen, T.; Korpela, R.; Saxelin, M.; Ollus, A.; Valta, P.; Kouri, M.; Elomaa, I.; Joensuu, H. Lactobacillus Supplementation for Diarrhoea Related to Chemotherapy of Colorectal Cancer: A Randomised Study. Br. J. Cancer 2007, 97, 1028–1034. [Google Scholar] [CrossRef] [PubMed]
- Liu, Z.-H.; Huang, M.-J.; Zhang, X.-W.; Wang, L.; Huang, N.-Q.; Peng, H.; Lan, P.; Peng, J.-S.; Yang, Z.; Xia, Y.; et al. The Effects of Perioperative Probiotic Treatment on Serum Zonulin Concentration and Subsequent Postoperative Infectious Complications after Colorectal Cancer Surgery: A Double-Center and Double-Blind Randomized Clinical Trial. Am. J. Clin. Nutr. 2013, 97, 117–126. [Google Scholar] [CrossRef]
- Peng, M.; Lee, S.-H.; Rahaman, S.O.; Biswas, D. Dietary Probiotic and Metabolites Improve Intestinal Homeostasis and Prevent Colorectal Cancer. Food Funct. 2020, 11, 10724–10735. [Google Scholar] [CrossRef]
- Deweerdt, S. Microbiome: A Complicated Relationship Status. Nature 2014, 508, S61–S63. [Google Scholar] [CrossRef]
- 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. International Society of Sports Nutrition Position Stand: Probiotics. J. Int. Soc. Sports Nutr. 2019, 16, 62. [Google Scholar] [CrossRef]
- Shokryazdan, P.; Faseleh Jahromi, M.; Liang, J.B.; Ho, Y.W. Probiotics: From Isolation to Application. J. Am. Coll. Nutr. 2017, 36, 666–676. [Google Scholar] [CrossRef] [PubMed]
- Boza, G.; Barabás, G.; Scheuring, I.; Zachar, I. Eco-Evolutionary Modelling of Microbial Syntrophy Indicates the Robustness of Cross-Feeding over Cross-Facilitation. Sci. Rep. 2023, 13, 907. [Google Scholar] [CrossRef] [PubMed]
- Porter, N.T.; Luis, A.S.; Martens, E.C. Bacteroides Thetaiotaomicron. Trends Microbiol. 2018, 26, 966–967. [Google Scholar] [CrossRef] [PubMed]
- Mills, S.; Stanton, C.; Lane, J.A.; Smith, G.J.; Ross, R.P. Precision Nutrition and the Microbiome, Part I: Current State of the Science. Nutrients 2019, 11, 923. [Google Scholar] [CrossRef]



| Supraphenotype | Effort Tolerance | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Phenotypes | Dopamine | Serotonin | Acetylcholine | GABA | Noradrenalin | Emotional Balance | Butyrate | Propionate | |
| Target-Bacteria | [71,89,90,91,92,93,94,95,96,97,98,99,100] | [71,89,90,91,92,93,94,101,102,103,104] | [71,89,91,92,105,106,107,108,109,110] | [71,91,92,93,111,112,113,114,115,116,117,118,119] | [71,91,92,93,98,120] | [98,103,114,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139] | [140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174] | [147,158,160,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200] | |
| References | |||||||||
| Akkermansia muciniphila | |||||||||
| Alistipes putredinis | |||||||||
| Anaerostipes | |||||||||
| Anaerostipes caccae | |||||||||
| Anaerostipes hadrus | |||||||||
| Anaerotruncus colihominis | |||||||||
| Bacillus | |||||||||
| Bacteroides | |||||||||
| Bacteroides thetaiotaomicron | |||||||||
| Bacteroides uniformis | |||||||||
| Bacteroides vulgatus | |||||||||
| Bifidobacterium | |||||||||
| Bifidobacterium adolescentis | |||||||||
| Bifidobacterium animalis | |||||||||
| Bifidobacterium bifidum | |||||||||
| Bifidobacterium breve | |||||||||
| Bifidobacterium dentium | |||||||||
| Bifidobacterium longum | |||||||||
| Blautia | |||||||||
| Blautia coccoides | |||||||||
| Blautia obeum | |||||||||
| Butyricimonas | |||||||||
| Butyrivibrio | |||||||||
| Clostridium butyricum | |||||||||
| Clostridium leptum | |||||||||
| Collinsella aerofaciens | |||||||||
| Coprococcus | |||||||||
| Coprococcus catus | |||||||||
| Coprococcus eutactus | |||||||||
| Eubacterium | |||||||||
| Eubacterium hallii | |||||||||
| Eubacterium limosum | |||||||||
| Eubacterium rectale | |||||||||
| Faecalibacterium | |||||||||
| Lachnospira | |||||||||
| Lactobacillus | |||||||||
| Lactobacillus acidophilus | |||||||||
| Lactobacillus brevis | |||||||||
| Lactobacillus casei | |||||||||
| Lactobacillus delbrueckii | |||||||||
| Lactobacillus helveticus | |||||||||
| Lactobacillus paracasei | |||||||||
| Lactobacillus plantarum | |||||||||
| Lactobacillus reuteri | |||||||||
| Lactobacillus rhamnosus | |||||||||
| Lactobacillus salivarius | |||||||||
| Lactococcus | |||||||||
| Lactococcus lactis | |||||||||
| Megasphaera | |||||||||
| Megasphaera elsdenii | |||||||||
| Odoribacter | |||||||||
| Oscillibacter | |||||||||
| Oscillospira | |||||||||
| Parabacteroides | |||||||||
| Phascolarctobacterium | |||||||||
| Prevotella | |||||||||
| Propionibacterium freudenreichii | |||||||||
| Roseburia | |||||||||
| Roseburia faecis | |||||||||
| Roseburia hominis | |||||||||
| Roseburia intestinalis | |||||||||
| Roseburia inulinivorans | |||||||||
| Streptococcus thermophilus | |||||||||
| Subdoligranulum | |||||||||
| Veillonella | |||||||||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Álvarez-Herms, J.; Burtscher, M.; Corbi, F.; González, A.; Odriozola, A. A Narrative Hypothesis: The Important Role of Gut Microbiota in the Modulation of Effort Tolerance in Endurance Athletes. Nutrients 2025, 17, 2836. https://doi.org/10.3390/nu17172836
Álvarez-Herms J, Burtscher M, Corbi F, González A, Odriozola A. A Narrative Hypothesis: The Important Role of Gut Microbiota in the Modulation of Effort Tolerance in Endurance Athletes. Nutrients. 2025; 17(17):2836. https://doi.org/10.3390/nu17172836
Chicago/Turabian StyleÁlvarez-Herms, Jesus, Martin Burtscher, Francisco Corbi, Adriana González, and Adrián Odriozola. 2025. "A Narrative Hypothesis: The Important Role of Gut Microbiota in the Modulation of Effort Tolerance in Endurance Athletes" Nutrients 17, no. 17: 2836. https://doi.org/10.3390/nu17172836
APA StyleÁlvarez-Herms, J., Burtscher, M., Corbi, F., González, A., & Odriozola, A. (2025). A Narrative Hypothesis: The Important Role of Gut Microbiota in the Modulation of Effort Tolerance in Endurance Athletes. Nutrients, 17(17), 2836. https://doi.org/10.3390/nu17172836

