6.
Chen Y, Yang K, Xu M, Zhang Y, Weng X, Luo J
. Dietary Patterns, Gut Microbiota and Sports Performance in Athletes: A Narrative Review. Nutrients. 2024; 16(11).
PMC: 11175060.
DOI: 10.3390/nu16111634.
View
7.
Barton W, Penney N, Cronin O, Garcia-Perez I, Molloy M, Holmes E
. The microbiome of professional athletes differs from that of more sedentary subjects in composition and particularly at the functional metabolic level. Gut. 2017; 67(4):625-633.
DOI: 10.1136/gutjnl-2016-313627.
View
8.
Cronin O, Barton W, Skuse P, Penney N, Garcia-Perez I, Murphy E
. A Prospective Metagenomic and Metabolomic Analysis of the Impact of Exercise and/or Whey Protein Supplementation on the Gut Microbiome of Sedentary Adults. mSystems. 2018; 3(3).
PMC: 5915698.
DOI: 10.1128/mSystems.00044-18.
View
9.
Yun S, Seo Y, Lee Y, Lee D
. Gut microbiome related to metabolic diseases after moderate-to-vigorous intensity exercise. J Exerc Sci Fit. 2024; 22(4):375-382.
PMC: 11342187.
DOI: 10.1016/j.jesf.2024.07.003.
View
10.
Callahan B, McMurdie P, Rosen M, Han A, Johnson A, Holmes S
. DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016; 13(7):581-3.
PMC: 4927377.
DOI: 10.1038/nmeth.3869.
View
11.
Huminska-Lisowska K, Zielinska K, Mieszkowski J, Michalowska-Sawczyn M, Cieszczyk P, Labaj P
. Microbiome features associated with performance measures in athletic and non-athletic individuals: A case-control study. PLoS One. 2024; 19(2):e0297858.
PMC: 10880968.
DOI: 10.1371/journal.pone.0297858.
View
12.
Anderson M, Ellingsen K, McArdle B
. Multivariate dispersion as a measure of beta diversity. Ecol Lett. 2006; 9(6):683-93.
DOI: 10.1111/j.1461-0248.2006.00926.x.
View
13.
Rowland I, Gibson G, Heinken A, Scott K, Swann J, Thiele I
. Gut microbiota functions: metabolism of nutrients and other food components. Eur J Nutr. 2017; 57(1):1-24.
PMC: 5847071.
DOI: 10.1007/s00394-017-1445-8.
View
14.
De Feo P, Di Loreto C, Lucidi P, Murdolo G, Parlanti N, De Cicco A
. Metabolic response to exercise. J Endocrinol Invest. 2004; 26(9):851-4.
DOI: 10.1007/BF03345235.
View
15.
Mahadevan S, Shah S, Marrie T, Slupsky C
. Analysis of metabolomic data using support vector machines. Anal Chem. 2008; 80(19):7562-70.
DOI: 10.1021/ac800954c.
View
16.
Han M, Yang K, Yang P, Zhong C, Chen C, Wang S
. Stratification of athletes' gut microbiota: the multifaceted hubs associated with dietary factors, physical characteristics and performance. Gut Microbes. 2020; 12(1):1-18.
PMC: 7734118.
DOI: 10.1080/19490976.2020.1842991.
View
17.
Guan N, Li J, Shin H, Du G, Chen J, Liu L
. Microbial response to environmental stresses: from fundamental mechanisms to practical applications. Appl Microbiol Biotechnol. 2017; 101(10):3991-4008.
DOI: 10.1007/s00253-017-8264-y.
View
18.
Wegierska A, Charitos I, Topi S, Potenza M, Montagnani M, Santacroce L
. The Connection Between Physical Exercise and Gut Microbiota: Implications for Competitive Sports Athletes. Sports Med. 2022; 52(10):2355-2369.
PMC: 9474385.
DOI: 10.1007/s40279-022-01696-x.
View
19.
Munukka E, Ahtiainen J, Puigbo P, Jalkanen S, Pahkala K, Keskitalo A
. Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women. Front Microbiol. 2018; 9:2323.
PMC: 6178902.
DOI: 10.3389/fmicb.2018.02323.
View
20.
Zgadzaj R, Garrido-Oter R, Jensen D, Koprivova A, Schulze-Lefert P, Radutoiu S
. Root nodule symbiosis in Lotus japonicus drives the establishment of distinctive rhizosphere, root, and nodule bacterial communities. Proc Natl Acad Sci U S A. 2016; 113(49):E7996-E8005.
PMC: 5150415.
DOI: 10.1073/pnas.1616564113.
View