Pre-obese children's dysbiotic gut microbiome and unhealthy diets may predict the development of obesity. (December 2018)
- Record Type:
- Journal Article
- Title:
- Pre-obese children's dysbiotic gut microbiome and unhealthy diets may predict the development of obesity. (December 2018)
- Main Title:
- Pre-obese children's dysbiotic gut microbiome and unhealthy diets may predict the development of obesity
- Authors:
- Rampelli, Simone
Guenther, Kathrin
Turroni, Silvia
Wolters, Maike
Veidebaum, Toomas
Kourides, Yiannis
Molnár, Dénes
Lissner, Lauren
Benitez-Paez, Alfonso
Sanz, Yolanda
Fraterman, Arno
Michels, Nathalie
Brigidi, Patrizia
Candela, Marco
Ahrens, Wolfgang - Abstract:
- Abstract It is widely accepted that the intestinal microbiome is connected to obesity, as key mediator of the diet impact on the host metabolic and immunological status. To investigate whether the individual gut microbiome has a potential in predicting the onset and progression of diseases, here we characterized the faecal microbiota of 70 children in a two-time point prospective study, within a four-year window. All children had normal weight at the beginning of this study, but 36 of them gained excessive weight at the subsequent check-up. Microbiome data were analysed together with the hosts' diet information, physical activity, and inflammatory parameters. We find that the gut microbiota structures were stratified into a discrete number of groups, characterized by different biodiversity that correlates with inflammatory markers and dietary habits, regardless of age, gender, and body weight. Collectively, our data underscore the importance of the microbiome–host–diet configuration as a possible predictor of obesity. Simone Rampelli, Kathrin Guenther, and their colleagues discover correlations between pre-obese children's low-diverse, dysbiotic microbiome configurations and their unhealthy diets. This study suggests that diet interventions may promote healthy adulthood by modulating the intestinal microbiota.
- Is Part Of:
- Communications biology. Volume 1:Number 1(2018)
- Journal:
- Communications biology
- Issue:
- Volume 1:Number 1(2018)
- Issue Display:
- Volume 1, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 1
- Issue:
- 1
- Issue Sort Value:
- 2018-0001-0001-0000
- Page Start:
- 1
- Page End:
- 11
- Publication Date:
- 2018-12
- Subjects:
- Systems biology -- Periodicals
570.113 - Journal URLs:
- http://link.springer.com/ ↗
https://www.nature.com/commsbio/ ↗ - DOI:
- 10.1038/s42003-018-0221-5 ↗
- Languages:
- English
- ISSNs:
- 2399-3642
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12692.xml