Optimizing Microbiota Profiles for Athletes.
Journal
Exercise and sport sciences reviews
ISSN: 1538-3008
Titre abrégé: Exerc Sport Sci Rev
Pays: United States
ID NLM: 0375434
Informations de publication
Date de publication:
01 2021
01 2021
Historique:
pubmed:
13
10
2020
medline:
15
12
2021
entrez:
12
10
2020
Statut:
ppublish
Résumé
Gut microbiome influences athletes' physiology, but because of the complexity of sport performance and the great intervariability of microbiome features, it is not reasonable to define a single healthy microbiota profile for athletes. We suggest the use of specific meta-omics analysis coupled with innovative computational systems to uncover the hidden association between microbes and athlete's physiology and predict personalized recommendation.
Identifiants
pubmed: 33044333
doi: 10.1249/JES.0000000000000236
pii: 00003677-202101000-00006
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
42-49Références
Sankar SA, Lagier JC, Pontarotti P, Raoult D, Fournier PE. The human gut microbiome, a taxonomic conundrum. Syst. Appl. Microbiol . 2015; 38(4):276–86.
Lloyd-Price J, Arze C, Ananthakrishnan AN, et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature . 2019; 569(7758):655–62.
Chen D, Jin D, Huang S, et al. Clostridium butyricum , a butyrate-producing probiotic, inhibits intestinal tumor development through modulating Wnt signaling and gut microbiota. Cancer Lett . 2020; 469:456–67.
Grat M, Wronka KM, Krasnodebski M, et al. Profile of gut microbiota associated with the presence of hepatocellular cancer in patients with liver cirrhosis. Transplant. Proc . 2016; 48(5):1687–91.
Yuan J, Chen C, Cui J, et al. Fatty liver disease caused by high-alcohol–producing Klebsiella pneumoniae . Cell Metab . 2019; 30(4):675–88. e7.
Hoyles L, Fernandez-Real JM, Federici M, et al. Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women. Nat. Med . 2018; 24(7):1070–80.
Zhou W, Sailani MR, Contrepois K, et al. Longitudinal multi-omics of host-microbe dynamics in prediabetes. Nature . 2019; 569(7758):663–71.
Turnbaugh PJ, Hamady M, Yatsunenko T, et al. A core gut microbiome in obese and lean twins. Nature . 2009; 457(7228):480–4.
Adan RAH, van der Beek EM, Buitelaar JK, et al. Nutritional psychiatry: towards improving mental health by what you eat. Eur. Neuropsychopharmacol . 2019; 29:1321–32.
Clarke SF, Murphy EF, O'Sullivan O, et al. Exercise and associated dietary extremes impact on gut microbial diversity. Gut . 2014; 63(12):1913–20.
Scheiman J, Luber JM, Chavkin TA, et al. Meta-omics analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism. Nat. Med . 2019; 25(7):1104–9.
O'Donovan CM, Madigan SM, Garcia-Perez I, Rankin A, O' Sullivan O, Cotter PD. Distinct microbiome composition and metabolome exists across subgroups of elite Irish athletes. J. Sci. Med. Sport . 2020; 23:63–8.
Thomas DT, Erdman KA, Burke LM. American College of Sports Medicine joint position statement. Nutrition and athletic performance. Med. Sci. Sports Exerc . 2016; 48(3):543–68.
Hawley JA, Hargreaves M, Joyner MJ, Zierath JR. Integrative biology of exercise. Cell . 2014; 159(4):738–49.
Jeukendrup AE. Periodized nutrition for athletes. Sports Med . 2017; 47(Suppl. 1):51–63.
Williams C, Rollo I. Carbohydrate nutrition and team sport performance. Sports Med . 2015; 45(Suppl. 1):S13–22.
Daien CI, Pinget GV, Tan JK, Macia L. Detrimental impact of microbiota-accessible carbohydrate-deprived diet on gut and immune homeostasis: an overview. Front. Immunol . 2017; 8:548.
de Oliveira EP, Burini RC, Jeukendrup A. Gastrointestinal complaints during exercise: prevalence, etiology, and nutritional recommendations. Sports Med . 2014; 44(Suppl. 1):S79–85.
Wu GD, Compher C, Chen EZ, et al. Comparative metabolomics in vegans and omnivores reveal constraints on diet-dependent gut microbiota metabolite production. Gut . 2016; 65(1):63–72.
Jager R, Kerksick CM, Campbell BI, et al. International Society of Sports Nutrition position stand: protein and exercise. J. Int. Soc. Sports Nutr . 2017; 14:20.
Karlund A, Gomez-Gallego C, Turpeinen AM, Palo-Oja OM, El-Nezami H, Kolehmainen M. Protein supplements and their relation with nutrition, microbiota composition and health: is more protein always better for sportspeople? Nutrients . 2019; 11(4):829.
Diether NE, Willing BP. Microbial fermentation of dietary protein: an important factor in diet-microbe-host interaction. Microorganisms . 2019; 7(1):19.
Portune KJ, Benitez-Paez A, Del Pulgar EM, Cerrudo V, Sanz Y. Gut microbiota, diet, and obesity-related disorders—the good, the bad, and the future challenges. Mol. Nutr. Food Res . 2017; 61(1).
Macfarlane GT, Allison C, Gibson SA, Cummings JH. Contribution of the microflora to proteolysis in the human large intestine. J. Appl. Bacteriol . 1988; 64(1):37–46.
Matsuzawa Y, Nakahashi H, Konishi M, et al. Microbiota-derived trimethylamine N -oxide predicts cardiovascular risk after STEMI. Sci. Rep . 2019; 9(1):11647.
Janeiro MH, Ramirez MJ, Milagro FI, Martinez JA, Solas M. Implication of trimethylamine N -oxide (TMAO) in disease: potential biomarker or new therapeutic target. Nutrients . 2018; 10(10):1398.
Walsh NP. Recommendations to maintain immune health in athletes. Eur. J. Sport Sci . 2018; 18(6):820–31.
Colbey C, Cox AJ, Pyne DB, Zhang P, Cripps AW, West NP. Upper respiratory symptoms, gut health and mucosal immunity in athletes. Sports Med . 2018; 48(Suppl. 1):65–77.
Mach N, Fuster-Botella D. Endurance exercise and gut microbiota: a review. J. Sport Health Sci . 2017; 6(2):179–97.
Lu YC, Yeh WC, Ohashi PS. LPS/TLR4 signal transduction pathway. Cytokine . 2008; 42(2):145–51.
Lim CL, Pyne D, Horn P, et al. The effects of increased endurance training load on biomarkers of heat intolerance during intense exercise in the heat. Appl. Physiol. Nutr. Metab . 2009; 34(4):616–24.
Hietbrink F, Besselink MG, Renooij W, et al. Systemic inflammation increases intestinal permeability during experimental human endotoxemia. Shock . 2009; 32(4):374–8.
Belkaid Y, Hand TW. Role of the microbiota in immunity and inflammation. Cell . 2014; 157(1):121–41.
Hao Q, Dong BR, Wu T. Probiotics for preventing acute upper respiratory tract infections. Cochrane Database Syst. Rev . 2015; 2:CD006895.
Bermon S, Petriz B, Kajeniene A, Prestes J, Castell L, Franco OL. The microbiota: an exercise immunology perspective. Exerc. Immunol. Rev . 2015; 21:70–9.
Moreno-Indias I, Sanchez-Alcoholado L, Perez-Martinez P, et al. Red wine polyphenols modulate fecal microbiota and reduce markers of the metabolic syndrome in obese patients. Food Funct . 2016; 7(4):1775–87.
Johnson AJ, Vangay P, Al-Ghalith GA, et al. Daily sampling reveals personalized diet-microbiome associations in humans. Cell Host Microbe . 2019; 25(6):789–802. e5.
Mailing LJ, Allen JM, Buford TW, Fields CJ, Woods JA. Exercise and the gut microbiome: a review of the evidence, potential mechanisms, and implications for human health. Exerc. Sport Sci. Rev . 2019; 47(2):75–85.
Barton W, Penney NC, Cronin O, et al. The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level. Gut . 2018; 67(4):625–33.
Bressa C, Bailen-Andrino M, Perez-Santiago J, et al. Differences in gut microbiota profile between women with active lifestyle and sedentary women. PLoS One . 2017; 12(2):e0171352.
Munukka E, Ahtiainen JP, Puigbo P, et al. Six-week endurance exercise alters gut metagenome that is not reflected in systemic metabolism in over-weight women. Front. Microbiol . 2018; 9:2323.
Estaki M, Pither J, Baumeister P, et al. Cardiorespiratory fitness as a predictor of intestinal microbial diversity and distinct metagenomic functions. Microbiome . 2016; 4(1):42.
Durk RP, Castillo E, Marquez-Magana L, et al. Gut microbiota composition is related to cardiorespiratory fitness in healthy young adults. Int. J. Sport Nutr. Exerc. Metab . 2019; 29(3):249–53.
Eckburg PB, Bik EM, Bernstein CN, et al. Diversity of the human intestinal microbial flora. Science . 2005; 308(5728):1635–8.
Petersen LM, Bautista EJ, Nguyen H, et al. Community characteristics of the gut microbiomes of competitive cyclists. Microbiome . 2017; 5(1):98.
Hawley JA. Microbiota and muscle highway - two way traffic. Nat. Rev. Endocrinol . 2020; 16(2):71–2.
Nay K, Jollet M, Goustard B, et al. Gut bacteria are critical for optimal muscle function: a potential link with glucose homeostasis. Am. J. Physiol. Endocrinol. Metab . 2019; 317(1):E158–71.
Okamoto T, Morino K, Ugi S, et al. Microbiome potentiates endurance exercise through intestinal acetate production. Am. J. Physiol. Endocrinol. Metab . 2019; 316(5):E956–66.
Clark A, Mach N. The crosstalk between the gut microbiota and mitochondria during exercise. Front. Physiol . 2017; 8:319.
Aguiar-Pulido V, Huang W, Suarez-Ulloa V, Cickovski T, Mathee K, Narasimhan G. Metagenomics, metatranscriptomics, and metabolomics approaches for microbiome analysis. Evol. Bioinformatics Online . 2016; 12(Suppl. 1):5–16.
Cao Y, Fanning S, Proos S, Jordan K, Srikumar S. A review on the applications of next generation sequencing technologies as applied to food-related microbiome studies. Front. Microbiol . 2017; 8:1829.
Quince C, Walker AW, Simpson JT, Loman NJ, Segata N. Shotgun metagenomics, from sampling to analysis. Nat. Biotechnol . 2017; 35(9):833–44.
Riesenfeld CS, Schloss PD, Handelsman J. Metagenomics: genomic analysis of microbial communities. Annu. Rev. Genet . 2004; 38:525–52.
Almeida A, Mitchell AL, Boland M, et al. A new genomic blueprint of the human gut microbiota. Nature . 2019; 568(7753):499–504.
Zierer J, Jackson MA, Kastenmuller G, et al. The fecal metabolome as a functional readout of the gut microbiome. Nat. Genet . 2018; 50(6):790–5.
Bongiovanni T, Pintus R, Dessi A, et al. Sportomics: metabolomics applied to sports. The new revolution? Eur. Rev. Med. Pharmacol. Sci . 2019; 23(24):11011–9.
Lavelle A, Sokol H. Gut microbiota: beyond metagenomics, metatranscriptomics illuminates microbiome functionality in IBD. Nat. Rev. Gastroenterol. Hepatol . 2018; 15(4):193–4.
Tang ZZ, Chen G, Hong Q, et al. Multi-omic analysis of the microbiome and metabolome in healthy subjects reveals microbiome-dependent relationships between diet and metabolites. Front. Genet . 2019; 10:454.
Maier L, Pruteanu M, Kuhn M, et al. Extensive impact of non-antibiotic drugs on human gut bacteria. Nature . 2018; 555(7698):623–8.
Conesa A, Beck S. Making multi-omics data accessible to researchers. Sci Data . 2019; 6(1):251.
Friedman J, Hastie T, Tibshirani R. The Elements of Statistical Learning (Springer Series in Statistics) . New York: Springer; 2001.
Pasolli E, Truong DT, Malik F, Waldron L, Segata N. Machine learning meta-analysis of large metagenomic datasets: tools and biological insights. PLoS Comput. Biol . 2016; 12(7):e1004977.
Hannelore D. Diet and the gut microbiome: from hype to hypothesis. Br. J. Nutr . 2020; 124:521–30.
Liu Y, Wang Y, Ni Y, et al. Gut microbiome fermentation determines the efficacy of exercise for diabetes prevention. Cell Metab . 2020; 31(1):77–91.e5.
Contrepois K, Wu S, Moneghetti KJ, et al. Molecular choreography of acute exercise. Cell . 2020; 181(5):1112–1130.e16.
Zeevi D, Korem T, Zmora N, et al. Personalized nutrition by prediction of glycemic responses. Cell . 2015; 163(5):1079–94.
Zmora N, Zilberman-Schapira G, Suez J, et al. Personalized gut mucosal colonization resistance to empiric probiotics is associated with unique host and microbiome features. Cell . 2018; 174(6):1388–405. e21.
[Internet]. Available from: http://www.epicorebiosystems.com .