| Literature DB >> 27906159 |
Christoph A Thaiss1, Shlomik Itav1, Daphna Rothschild2,3, Mariska T Meijer1, Maayan Levy1, Claudia Moresi1, Lenka Dohnalová1, Sofia Braverman1, Shachar Rozin1, Sergey Malitsky4, Mally Dori-Bachash1, Yael Kuperman5, Inbal Biton5, Arieh Gertler6, Alon Harmelin5, Hagit Shapiro1, Zamir Halpern7,8, Asaph Aharoni4, Eran Segal2,3, Eran Elinav1.
Abstract
In tackling the obesity pandemic, considerable efforts are devoted to the development of effective weight reduction strategies, yet many dieting individuals fail to maintain a long-term weight reduction, and instead undergo excessive weight regain cycles. The mechanisms driving recurrent post-dieting obesity remain largely elusive. Here we identify an intestinal microbiome signature that persists after successful dieting of obese mice and contributes to faster weight regain and metabolic aberrations upon re-exposure to obesity-promoting conditions. Faecal transfer experiments show that the accelerated weight regain phenotype can be transmitted to germ-free mice. We develop a machine-learning algorithm that enables personalized microbiome-based prediction of the extent of post-dieting weight regain. Additionally, we find that the microbiome contributes to diminished post-dieting flavonoid levels and reduced energy expenditure, and demonstrate that flavonoid-based 'post-biotic' intervention ameliorates excessive secondary weight gain. Together, our data highlight a possible microbiome contribution to accelerated post-dieting weight regain, and suggest that microbiome-targeting approaches may help to diagnose and treat this common disorder.Entities:
Year: 2016 PMID: 27906159 DOI: 10.1038/nature20796
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962