Obesity Journal Club

Obesity Journal Club 4/2/2019 at 12pm in M&V 240

The Obesity Journal Club will meet on Tuesday, April 2nd, 2019, from 12-1pm in M&V 240 and via WebEx (see details below).
A light snack will be served – please bring your own beverage.


Presenter: Carlota Dao, PhD Scientist III, Energy Metabolism Lab
Article Title: Prevotella-to-Bacteroides ratio predicts body weight and fat loss success on 24-week diets varying in macronutrient composition and dietary fiber: results from a post-hoc analysis
Authors/Journal: Hjorth, MF. et al. 2018. International Journal of Obesity, p.1.
DOI: https://doi.org/10.1038/s41366-018-0093-2


Article Abstract

Background/objectives Individuals with high pre-treatment bacterial Prevotella-to-Bacteroides (P/B) ratio have been reported to lose more body weight on diets high in fiber than subjects with a low P/B ratio. Therefore, the aim of the present study was to examine potential differences in dietary weight loss responses between participants with low and high P/B.

Subjects/methods Eighty overweight participants were randomized (52 completed) to a 500 kcal/d energy deficit diet with a macronutrient composition of 30 energy percentage (E%) fat, 52 E% carbohydrate and 18 E% protein either high (≈1500 mg calcium/day) or low ( ≤ 600 mg calcium/day) in dairy products for 24 weeks. Body weight, body fat, and dietary intake (by 7-day dietary records) were determined. Individuals were dichotomized according to their pre-treatment P/B ratio derived from 16S rRNA gene sequencing of collected fecal samples to test the potential modification of dietary effects using linear mixed models.

Results Independent of the randomized diets, individuals with high P/B lost 3.8 kg (95%CI, 1.8,5.8; P < 0.001) more body weight and 3.8 kg (95% CI, 1.1, 6.5; P = 0.005) more body fat compared to individuals with low P/B. After adjustment for multiple covariates, individuals with high P/B ratio lost 8.3 kg (95% CI, 5.8;10.9, P < 0.001) more body weight when consuming above compared to below 30 g fiber/10MJ whereas this weight loss was 3.2 kg (95% CI, 0.8;5.5, P = 0.008) among individuals with low P/B ratio [Mean difference: 5.1 kg (95% CI, 1.7;8.6, P = 0.003)]. Partial correlation coefficients between fiber intake and weight change was 0.90 (P < 0.001) among individuals with high P/B ratio and 0.25 (P = 0.29) among individuals with low P/B ratio.

Conclusions Individuals with high P/B lost more body weight and body fat compared to individuals with low P/B, confirming that individuals with a high P/B are more susceptible to weight loss on a diet rich in fiber.



WebEx Information
Join by phone: +1-617-627-6767 (Access code: 738 979 905)
Meeting number (access code):737 265 270
Meeting password: s2MiuJ23


The Obesity Journal Club is a program of the Boston Nutrition Obesity Research Center’s (BNORC). Aviva Must serves as the faculty facilitator. The general format includes the presentation, critique, and (we hope) thoughtful discussion of a current article from the peer-reviewed obesity literature. Faculty and students in the greater Boston area are welcome to attend and present. It is also possible to connect by WebEx and participate virtually—upon request.

Announcements for each meeting will come ~1 week in advance and will specify the paper we will review and critique. For those at Tufts, light snacks are served but please bring your own beverage. Obesity Journal Club will meet from 12-1pm on the 1st and 3rd Tuesday of every month from September to May.

Obesity Journal Club is participatory. We will ask for student and faculty volunteers to sign up and present an article of their choice at future meetings. Assistance in selecting an article for presentation is available. This is a great opportunity for students to develop presentation skills in a friendly low-risk environment. Sign up for the Fall meetings will take place at our first meeting on September 18th.

If you wish to be added to (or removed from) the Obesity Journal Club listserv, please email Ariella.Korn@tufts.edu or Katherine.Rancano@tufts.edu.