Differences in gut microbiota profile between women with active lifestyle and sedentary women

Carlo Bressa, María Bailén-Andrino, Jennifer Pérez-Santiago, Rocío González-Soltero, Margarita Pérez, Maria Gregoria Montalvo-Lominchar, Jose Luis Maté-Muñoz, Raúl Domínguez, Diego Moreno, Mar Larrosa, Carlo Bressa, María Bailén-Andrino, Jennifer Pérez-Santiago, Rocío González-Soltero, Margarita Pérez, Maria Gregoria Montalvo-Lominchar, Jose Luis Maté-Muñoz, Raúl Domínguez, Diego Moreno, Mar Larrosa

Abstract

Physical exercise is a tool to prevent and treat some of the chronic diseases affecting the world's population. A mechanism through which exercise could exert beneficial effects in the body is by provoking alterations to the gut microbiota, an environmental factor that in recent years has been associated with numerous chronic diseases. Here we show that physical exercise performed by women to at least the degree recommended by the World Health Organization can modify the composition of gut microbiota. Using high-throughput sequencing of the 16s rRNA gene, eleven genera were found to be significantly different between active and sedentary women. Quantitative PCR analysis revealed higher abundance of health-promoting bacterial species in active women, including Faecalibacterium prausnitzii, Roseburia hominis and Akkermansia muciniphila. Moreover, body fat percentage, muscular mass and physical activity significantly correlated with several bacterial populations. In summary, we provide the first demonstration of interdependence between some bacterial genera and sedentary behavior parameters, and show that not only does the dose and type of exercise influence the composition of gut microbiota, but also the breaking of sedentary behavior.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1
Principal Coordinates Analysis (PcoA) plots of unweighted (A) and weighted (B) Unifrac distance metrics obtained from sequencing the 16s rRNA gene in fecal samples. Axes represent percentage of data explained by each coordinate dimension.
Fig 2. Abundance of different bacterial genera…
Fig 2. Abundance of different bacterial genera in fecal microbiota of active and sedentary women.
Only statistical significant genera with an adjusted value p

Fig 3. Changes induced in relative abundance…

Fig 3. Changes induced in relative abundance of gut bacteria species by lifestyle in women.

Fig 3. Changes induced in relative abundance of gut bacteria species by lifestyle in women.
(A) Bifidobacterium longum, (B) Faecalibacterium prausnitzii, (C) Roseburia hominis, (D) Akkermansia muciniphila. Data were log transformed and analyzed by t-test * p<0.05 **p<0.01.

Fig 4

Enterotype classification A) k refers…

Fig 4

Enterotype classification A) k refers to clustering using the Calinski-Harabasz index B) PcoA…
Fig 4
Enterotype classification A) k refers to clustering using the Calinski-Harabasz index B) PcoA plots using the Jensen-Shannon distance.

Fig 5. Spearman correlation of microbiota genera,…

Fig 5. Spearman correlation of microbiota genera, body composition and physical activity parameters.

Fig 5. Spearman correlation of microbiota genera, body composition and physical activity parameters.
Fig 3. Changes induced in relative abundance…
Fig 3. Changes induced in relative abundance of gut bacteria species by lifestyle in women.
(A) Bifidobacterium longum, (B) Faecalibacterium prausnitzii, (C) Roseburia hominis, (D) Akkermansia muciniphila. Data were log transformed and analyzed by t-test * p<0.05 **p<0.01.
Fig 4
Fig 4
Enterotype classification A) k refers to clustering using the Calinski-Harabasz index B) PcoA plots using the Jensen-Shannon distance.
Fig 5. Spearman correlation of microbiota genera,…
Fig 5. Spearman correlation of microbiota genera, body composition and physical activity parameters.

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