• Aucun résultat trouvé

High intensity interval training promotes total and visceral fat mass loss in obese Zucker rats without modulating gut microbiota

N/A
N/A
Protected

Academic year: 2021

Partager "High intensity interval training promotes total and visceral fat mass loss in obese Zucker rats without modulating gut microbiota"

Copied!
20
0
0

Texte intégral

Loading

Figure

Fig 1. Weekly food intake. Data are expressed as the mean ± SD.
Fig 2. Effect of 10 weeks of exercise training on weight and body composition. Body weight (A), total lean mass (B), total fat mass (C) and epididymal fat mass (D)
Fig 3. Effect of 10 weeks of exercise training on gut microbiota and faecal concentration of short-chain fatty acids (SCFAs)
Fig 4. Effect of 10 weeks of training on intestinal permeability. Zonula occludens-1 (ZO-1) (A) and occludin (B) expression were assessed by western blotting
+4

Références

Documents relatifs

[r]

The diarrhoea ratio (Table  1 ) of the recipient piglets was significantly decreased compared with that of the control piglets (P < 0.05), and the daily number of

Carbohydrate analysis using specific chemical degradations, mass spectrometry, 1 H and 13 C nuclear magnetic resonance showed that this polysaccharide is a linear

ACHM, Animals Containing Human Material; ESC, embryonic stem cells; ICM, inner cell mass; iPSC, induced pluripotent stem

A reason for these open questions in the network in- formation theoretic framework, is that Gaussian ensembles are roughly the only ensembles that can be analyzed over

Experiments showed that the ratio of the 5/2 ultraharmonic to the 1/2 subharmonic for binary localization cavitation activity achieves 100% sensitivity and specificity for

To our knowledge ActivCollector is the first system of clinical data centralization and modelling of metabolic process available for the researchers in nutrition. His

The present study proposes the combined use of DGDR- and UKF-based methodologies to extract information from AP signals at baseline and under β-AS. Initial DGDR parameter estimates