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1.
Exp Mol Med ; 52(7): 1048-1061, 2020 07.
Article in English | MEDLINE | ID: mdl-32624568

ABSTRACT

Childhood obesity has reached epidemic levels and is a serious health concern associated with metabolic syndrome, nonalcoholic fatty liver disease, and gut microbiota alterations. Physical exercise is known to counteract obesity progression and modulate the gut microbiota composition. This study aims to determine the effect of a 12-week strength and endurance combined training program on gut microbiota and inflammation in obese pediatric patients. Thirty-nine obese children were assigned randomly to the control or training group. Anthropometric and biochemical parameters, muscular strength, and inflammatory signaling pathways in mononuclear cells were evaluated. Bacterial composition and functionality were determined by massive sequencing and metabolomic analysis. Exercise reduced plasma glucose levels and increased dynamic strength in the upper and lower extremities compared with the obese control group. Metagenomic analysis revealed a bacterial composition associated with obesity, showing changes at the phylum, class, and genus levels. Exercise counteracted this profile, significantly reducing the Proteobacteria phylum and Gammaproteobacteria class. Moreover, physical activity tended to increase some genera, such as Blautia, Dialister, and Roseburia, leading to a microbiota profile similar to that of healthy children. Metabolomic analysis revealed changes in short-chain fatty acids, branched-chain amino acids, and several sugars in response to exercise, in correlation with a specific microbiota profile. Finally, the training protocol significantly inhibited the activation of the obesity-associated NLRP3 signaling pathway. Our data suggest the existence of an obesity-related deleterious microbiota profile that is positively modified by physical activity intervention. Exercise training could be considered an efficient nonpharmacological therapy, reducing inflammatory signaling pathways induced by obesity in children via microbiota modulation.


Subject(s)
Exercise/physiology , Gastrointestinal Microbiome , Inflammation/microbiology , Pediatric Obesity/metabolism , Pediatric Obesity/microbiology , Pediatric Obesity/physiopathology , Signal Transduction , Case-Control Studies , Child , Endurance Training , Female , Humans , Male , Metabolomics , Pediatric Obesity/blood , Phylogeny , Principal Component Analysis
2.
Reprod Fertil Dev ; 27(5): 794-800, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25128910

ABSTRACT

The purpose of this study was to determine which strategy of embryo transfer has a better trade-off in live birth delivery rate versus multiple pregnancy considering patient acceptance: elective single embryo transfer (eSET) or elective double embryo transfer (eDET). In all, 199 women <38 years of age undergoing their first IVF treatment in a private centre were included in a prospective open-label randomised controlled trial. Patients were randomised into four groups: (1) eSET on Day 3; (2) eSET on Day 5; (3) eDET on Day 3; and (4) eDET on Day 5. Per patient, main analysis included acceptance of assigned group, as well as multiple and live birth delivery rates of the fresh cycle. Secondary analysis included the rates of subsequent cryotransfers and the theoretical cumulative success rate. Of 98 patients selected for eSET, 40% refused and preferred eDET. The live birth delivery rate after eDET was significantly higher after eDET versus eSET (65% vs 42%, respectively; odds ratio=1.6, 95% confidence interval 1.1-2.1). No multiple births were observed after eSET, compared with 35% after eDET. Although live birth delivery is higher with eDET, the increased risk of multiple births is avoided with eSET. Nearly half the patients refused eSET even after having been well informed about its benefits.


Subject(s)
Embryo Transfer/methods , Fertilization in Vitro/methods , Patient Acceptance of Health Care , Single Embryo Transfer , Adult , Birth Rate , Female , Humans , Live Birth , Maternal Age , Pregnancy , Pregnancy Outcome , Pregnancy Rate , Pregnancy, Multiple , Prospective Studies , Treatment Outcome
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