Gut Microbial Stability is Associated with Greater Endurance Performance in Athletes Undertaking Dietary Periodization

被引:20
作者
Furber, Matthew J. W. [1 ]
Young, Gregory R. [2 ,3 ]
Holt, Giles S. [4 ]
Pyle, Simone [7 ]
Davison, Glen [6 ]
Roberts, Michael G. [1 ]
Roberts, Justin D. [8 ]
Howatson, Glyn [2 ,5 ]
Smith, Darren L. [2 ,3 ]
机构
[1] Univ Hertfordshire, Dept Psychol & Sport Sci, Sch Life & Med Sci, Hatfield, Herts, England
[2] Northumbria Univ, Fac Hlth & Life Sci, Newcastle Upon Tyne, Tyne & Wear, England
[3] Northumbria Univ, Hub Biotechnol Built Environm, Newcastle Upon Tyne, Tyne & Wear, England
[4] Newcastle Univ, Biomed West Wing, Newcastle Upon Tyne, Tyne & Wear, England
[5] Northwest Univ, Sch Environm Sci & Dev, Water Res Grp, Potchefstroom, South Africa
[6] FUnivers Kent, Canterbury, Kent, England
[7] Univ Reading Whiteknights, Reading, Berks, England
[8] Anglia Ruskin Univ, Cambridge Ctr Sport & Exercise Sci, Sch Psychol & Sport Sci, Cambridge, England
关键词
human microbiome; recovery; endurance running; high-protein diet; carbohydrate loading diet; randomized controlled trial; bacteria; bacteriophages; gut microbiome; endurance; physical; MUSCLE GLYCOGEN; WEIGHT-LOSS; PROTEIN; METABOLISM; BACTERIA; FERMENTATION; EXERCISE; SULFIDE;
D O I
10.1128/msystems.00129-22
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Dietary manipulation with high-protein or high-carbohydrate content are frequently employed during elite athletic training, aiming to enhance athletic performance. Such interventions are likely to impact upon gut microbial content. This study explored the impact of acute high-protein or high-carbohydrate diets on measured endurance performance and associated gut microbial community changes. In a cohort of well-matched, highly trained endurance runners, we measured performance outcomes, as well as gut bacterial, viral (FVP), and bacteriophage (IV) communities in a double-blind, repeated-measures design randomized control trial (RCT) to explore the impact of dietary intervention with either high-protein or high-carbohydrate content. High-dietary carbohydrate improved time-trial performance by +65% (P < 0.03) and was associated with expansion of Ruminococcus and Collinsella bacterial spp. Conversely, high dietary protein led to a reduction in performance by -23.3% (P = 0.001). This impact was accompanied by significantly reduced diversity (IV: P = 0.04) and altered composition (IV and FVP: P = 0.02) of the gut phageome as well as enrichment of both free and inducible Sk1virus and Leuconostoc bacterial populations. Greatest performance during dietary modification was observed in participants with less substantial shifts in community composition. Gut microbial stability during acute dietary periodization was associated with greater athletic performance in this highly trained, well-matched cohort. Athletes, and those supporting them, should be mindful of the potential consequences of dietary manipulation on gut flora and implications for performance, and periodize appropriately. IMPORTANCE Dietary periodization is employed to improve endurance exercise performance but may impact on gut microbial communities. Bacteriophage are implicated in bacterial cell homeostasis and have been identified as biomarkers of disequilibrium in the gut ecosystem possibly brought about through dietary periodization. We find high-carbohydrate and high-protein diets to have opposing impacts on endurance performance in highly trained athlete populations. Reduced performance is linked with disturbance of microbial stasis in the gut. We demonstrate bacteriophage communities are the most sensitive component of the gut microbiota to increased gut stress following dietary manipulation. Athletes undertaking dietary periodization should be aware of potential negative impacts of drastic changes to dietary composition on gut microbial stasis and, in turn, endurance performance.
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页数:15
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共 66 条
  • [1] Phylotypes related to Ruminococcus bromii are abundant in the large bowel of humans and increase in response to a diet high in resistant starch
    Abell, Guy C. J.
    Cooke, Caroline M.
    Bennett, Corinna N.
    Conlon, Michael A.
    McOrist, Alexandra L.
    [J]. FEMS MICROBIOLOGY ECOLOGY, 2008, 66 (03) : 505 - 515
  • [2] Frequency of morphological phage descriptions in the year 2000
    Ackermann, HW
    [J]. ARCHIVES OF VIROLOGY, 2001, 146 (05) : 843 - 857
  • [3] BASIC LOCAL ALIGNMENT SEARCH TOOL
    ALTSCHUL, SF
    GISH, W
    MILLER, W
    MYERS, EW
    LIPMAN, DJ
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) : 403 - 410
  • [4] BamTools: a C++ API and toolkit for analyzing and managing BAM files
    Barnett, Derek W.
    Garrison, Erik K.
    Quinlan, Aaron R.
    Stroemberg, Michael P.
    Marth, Gabor T.
    [J]. BIOINFORMATICS, 2011, 27 (12) : 1691 - 1692
  • [5] Carbohydrate availability and exercise training adaptation: Too much of a good thing?
    Bartlett, Jonathan D.
    Hawley, John A.
    Morton, James P.
    [J]. EUROPEAN JOURNAL OF SPORT SCIENCE, 2015, 15 (01) : 3 - 12
  • [6] The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level
    Barton, Wiley
    Penney, Nicholas C.
    Cronin, Owen
    Garcia-Perez, Isabel
    Molloy, Michael G.
    Holmes, Elaine
    Shanahan, Fergus
    Cotter, Paul D.
    O'Sullivan, Orla
    [J]. GUT, 2018, 67 (04) : 625 - 633
  • [7] DIET MUSCLE GLYCOGEN AND PHYSICAL PERFORMANCE
    BERGSTROM, J
    HERMANSEN, L
    HULTMAN, E
    SALTIN, B
    [J]. ACTA PHYSIOLOGICA SCANDINAVICA, 1967, 71 (2-3): : 140 - +
  • [8] High-protein diets for weight management: Interactions with the intestinal microbiota and consequences for gut health. A position paper by the my new gut study group
    Blachier, Francois
    Beaumont, Martin
    Joseph Portune, Kevin
    Steuer, Nils
    Lan, Annaig
    Audebert, Marc
    Khodorova, Nadezda
    Andriamihaja, Mireille
    Airinei, Gheorghe
    Benamouzig, Robert
    Davila, Anne-Marie
    Armand, Lucie
    Rampelli, Simone
    Brigidi, Patrizia
    Tome, Daniel
    Claus, Sandrine Paule
    Sanz, Yolanda
    [J]. CLINICAL NUTRITION, 2019, 38 (03) : 1012 - 1022
  • [9] Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2′s q2-feature-classifier plugin
    Bokulich, Nicholas A.
    Kaehler, Benjamin D.
    Rideout, Jai Ram
    Dillon, Matthew
    Bolyen, Evan
    Knight, Rob
    Huttley, Gavin A.
    Caporaso, J. Gregory
    [J]. MICROBIOME, 2018, 6
  • [10] Trimmomatic: a flexible trimmer for Illumina sequence data
    Bolger, Anthony M.
    Lohse, Marc
    Usadel, Bjoern
    [J]. BIOINFORMATICS, 2014, 30 (15) : 2114 - 2120