AUTHOR=Šoltys Katarína , Lendvorský Leonard , Hric Ivan , Baranovičová Eva , Penesová Adela , Mikula Ivan , Bohmer Miroslav , Budiš Jaroslav , Vávrová Silvia , Grones Jozef , Grendar Marian , Kolísek Martin , Bielik Viktor 

TITLE=Strenuous Physical Training, Physical Fitness, Body Composition and Bacteroides to Prevotella Ratio in the Gut of Elderly Athletes

JOURNAL=Frontiers in Physiology

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2021.670989

DOI=10.3389/fphys.2021.670989

ISSN=1664-042X

ABSTRACT=<p>Regular physical activity seems to have a positive effect on the microbiota composition of the elderly, but little is known about the added possible benefits of strenuous endurance training. To gain insight into the physiology of the elderly and to identify biomarkers associated with endurance training, we combined different omics approaches. We aimed to investigate the gut microbiome, plasma composition, body composition, cardiorespiratory fitness, and muscle strength of lifetime elderly endurance athletes (LA) age 63.5 (95% CI 61.4, 65.7), height 177.2 (95% CI 174.4, 180.1) cm, weight 77.8 (95% CI 75.1, 80.5) kg, VO2max 42.4 (95% CI 39.8, 45.0) ml.kg<sup>–1</sup>.min<sup>–1</sup> (<italic>n</italic> = 13) and healthy controls age 64.9 (95% CI 62.1, 67.7), height 174.9 (95% CI 171.2, 178.6) cm, weight 83.4 (95% CI 77.1, 89.7) kg, VO2max 28.9 (95% CI 23.9, 33.9), ml.kg<sup>–1</sup>.min<sup>–1</sup> (<italic>n</italic> = 9). Microbiome analysis was performed on collected stool samples further subjected to 16S rRNA gene analysis. NMR-spectroscopic analysis was applied to determine and compare selected blood plasma metabolites mostly linked to energy metabolism. The machine learning (ML) analysis discriminated subjects from the LA and CTRL groups using the joint predictors <italic>Bacteroides</italic> 1.8E + 00 (95% CI 1.1, 2.5)%, 3.8E + 00 (95% CI 2.7, 4.8)% (<italic>p</italic> = 0.002); <italic>Prevotella</italic> 1.3 (95% CI 0.28, 2.4)%, 0.1 (95% CI 0.07, 0.3)% (<italic>p</italic> = 0.02); <italic>Intestinimonas</italic> 1.3E-02 (95% CI 9.3E-03, 1.7E-02)%, 5.9E-03 (95% CI 3.9E-03, 7.9E-03)% (<italic>p</italic> = 0.002), <italic>Subdoligranulum</italic> 7.9E-02 (95% CI 2.5E-02, 1.3E-02)%, 3.2E-02 (95% CI 1.8E-02, 4.6E-02)% (<italic>p</italic> = 0.02); and the ratio of <italic>Bacteroides</italic> to <italic>Prevotella</italic> 133 (95% CI -86.2, 352), 732 (95% CI 385, 1079.3) (<italic>p</italic> = 0.03), leading to an ROC curve with AUC of 0.94. Further, random forest ML analysis identified VO2max, BMI, and the <italic>Bacteroides</italic> to <italic>Prevotella</italic> ratio as appropriate, joint predictors for discriminating between subjects from the LA and CTRL groups. Although lifelong endurance training does not bring any significant benefit regarding overall gut microbiota diversity, strenuous athletic training is associated with higher cardiorespiratory fitness, lower body fat, and some favorable gut microbiota composition, all factors associated with slowing the rate of biological aging.</p>