Literature DB >> 32768295

Identifying mechanisms that predict weight trajectory after bariatric surgery: rationale and design of the biobehavioral trial.

Leslie J Heinberg1, Dale S Bond2, Ian Carroll3, Ross Crosby4, Anthony Fodor5, Farnaz Fouladi5, John Gunstad6, James Mitchell4, Christine Peat3, Kristine Steffen7.   

Abstract

Bariatric surgery is currently the most efficacious and durable intervention for severe obesity. The most commonly performed procedures in the United States are the Roux-en-Y gastric bypass and the sleeve gastrectomy, which involve significant anatomic and physiologic alterations that lead to changes in behavior and biology. Unfortunately, many patients experience suboptimal weight loss and/or substantial weight regain. Eating and physical activity/sedentary behaviors, mood, cognition, and the gut microbiome all change postoperatively and have an association with weight change. The longitudinal relationship between changes in the gut microbiome and postoperative weight trajectory has not been explored thoroughly, and the interactive associations among the gut microbiome and the other variables that impact weight have been similarly understudied. The following is a methods and design description for a prospective, 24-month longitudinal study of 144 bariatric surgery patients, at 2 sites, that aimed to identify predictors of weight loss trajectories over 24 months after Roux-en-Y gastric bypass and the sleeve gastrectomy. Specifically, the study will examine the relationships between empirically supported behavioral and biological variables and their combined impact on postoperative weight trajectories. Novel data collection will include intensive measurement of problematic eating behaviors and diet and physical activity postoperatively, which may be altered in parallel with, or in response to, changes observed in the gut microbiota. Identifying postoperative predictors of weight loss and co-morbidity resolution should inform development of novel interventions that are tailored to individual patients' risk profiles to optimize and sustain more favorable weight trajectories.
Copyright © 2020 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bariatric surgery; Eating behavior; Gut–brain axis; Microbiome; Physical activity; Weight loss

Mesh:

Year:  2020        PMID: 32768295      PMCID: PMC7606343          DOI: 10.1016/j.soard.2020.06.020

Source DB:  PubMed          Journal:  Surg Obes Relat Dis        ISSN: 1550-7289            Impact factor:   3.709


  59 in total

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Journal:  Psychol Methods       Date:  2010-09

2.  Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy.

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3.  The Intestinal Microbiota in Acute Anorexia Nervosa and During Renourishment: Relationship to Depression, Anxiety, and Eating Disorder Psychopathology.

Authors:  Susan C Kleiman; Hunna J Watson; Emily C Bulik-Sullivan; Eun Young Huh; Lisa M Tarantino; Cynthia M Bulik; Ian M Carroll
Journal:  Psychosom Med       Date:  2015 Nov-Dec       Impact factor: 4.312

Review 4.  Exercise following bariatric surgery: systematic review.

Authors:  Masha Livhits; Cheryl Mercado; Irina Yermilov; Janak A Parikh; Erik Dutson; Amir Mehran; Clifford Y Ko; Melinda Maggard Gibbons
Journal:  Obes Surg       Date:  2010-02-24       Impact factor: 4.129

Review 5.  Melancholic microbes: a link between gut microbiota and depression?

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Journal:  Neurogastroenterol Motil       Date:  2013-09       Impact factor: 3.598

6.  Cognitive function predicts 24-month weight loss success after bariatric surgery.

Authors:  Mary Beth Spitznagel; Michael Alosco; Gladys Strain; Michael Devlin; Ronald Cohen; Robert Paul; Ross D Crosby; James E Mitchell; John Gunstad
Journal:  Surg Obes Relat Dis       Date:  2013-05-06       Impact factor: 4.734

7.  Weight change and health outcomes at 3 years after bariatric surgery among individuals with severe obesity.

Authors:  Anita P Courcoulas; Nicholas J Christian; Steven H Belle; Paul D Berk; David R Flum; Luis Garcia; Mary Horlick; Melissa A Kalarchian; Wendy C King; James E Mitchell; Emma J Patterson; John R Pender; Alfons Pomp; Walter J Pories; Richard C Thirlby; Susan Z Yanovski; Bruce M Wolfe
Journal:  JAMA       Date:  2013-12-11       Impact factor: 56.272

8.  QIIME allows analysis of high-throughput community sequencing data.

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Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

9.  Exercise attenuates PCB-induced changes in the mouse gut microbiome.

Authors:  Jeong June Choi; Sung Yong Eum; Evadnie Rampersaud; Sylvia Daunert; Maria T Abreu; Michal Toborek
Journal:  Environ Health Perspect       Date:  2013-04-26       Impact factor: 9.031

10.  Kraken: ultrafast metagenomic sequence classification using exact alignments.

Authors:  Derrick E Wood; Steven L Salzberg
Journal:  Genome Biol       Date:  2014-03-03       Impact factor: 13.583

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  1 in total

1.  A microbial signature following bariatric surgery is robustly consistent across multiple cohorts.

Authors:  Farnaz Fouladi; Ian M Carroll; Thomas J Sharpton; Emily Bulik-Sullivan; Leslie Heinberg; Kristine J Steffen; Anthony A Fodor
Journal:  Gut Microbes       Date:  2021 Jan-Dec
  1 in total

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