The Gut Microbiome Profile in Obesity: A Systematic Review

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The Gut Microbiome Profile in Obesity: A Systematic Review
Title:
The Gut Microbiome Profile in Obesity: A Systematic Review
Journal Title:
International Journal of Endocrinology
Keywords:
Publication Date:
22 March 2018
Citation:
Castaner O, Goday A, Park YM, et al. The Gut Microbiome Profile in Obesity: A Systematic Review. Int J Endocrinol. 2018;2018:4095789. Published 2018 Mar 22. doi:10.1155/2018/4095789
Abstract:
Gut microbiome has been identified in the past decade as an important factor involved in obesity, but the magnitude of its contribution to obesity and its related comorbidities is still uncertain. Among the vast quantity of factors attributed to obesity, environmental, dietary, lifestyle, genetic, and others, the microbiome has aroused curiosity, and the scientific community has published many original articles. Most of the studies related to microbiome and obesity have been reported based on the associations between microbiota and obesity, and the in-depth study of the mechanisms related has been studied mainly in rodents and exceptionally in humans. Due to the quantity and diverse information published, the need of reviews is mandatory to recapitulate the relevant achievements. In this systematic review, we provide an overview of the current evidence on the association between intestinal microbiota and obesity. Additionally, we analyze the effects of an extreme weight loss intervention such as bariatric surgery on gut microbiota. The review is divided into 2 sections: first, the association of obesity and related metabolic disorders with different gut microbiome profiles, including metagenomics studies, and second, changes on gut microbiome after an extreme weight loss intervention such as bariatric surgery.
License type:
http://creativecommons.org/licenses/by/4.0/
Funding Info:
This article was supported by OCN Grants JR14/0008 and JR17/00022 from ISCIII. CIBEROBN is an ISCIII initiative. CIBERESP is an ISCIII initiative.
Description:
ISSN:
1687-8337
1687-8345
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