Literature DB >> 33578731

Gut Microbiota Profile and Changes in Body Weight in Elderly Subjects with Overweight/Obesity and Metabolic Syndrome.

Alessandro Atzeni1,2,3, Serena Galié1,2,3, Jananee Muralidharan1,2,3, Nancy Babio1,2,3, Francisco José Tinahones3,4, Jesús Vioque5,6, Dolores Corella3,7, Olga Castañer3,8, Josep Vidal9,10, Isabel Moreno-Indias3,4, Laura Torres-Collado5,6, Rebeca Fernández-Carrión3,7, Montserrat Fitó3,8, Romina Olbeyra9, Miguel Angel Martínez-González3,11,12, Monica Bulló1,2,3, Jordi Salas-Salvadó1,2,3.   

Abstract

Gut microbiota is essential for the development of obesity and related comorbidities. However, studies describing the association between specific bacteria and obesity or weight loss reported discordant results. The present observational study, conducted within the frame of the PREDIMED-Plus clinical trial, aims to assess the association between fecal microbiota, body composition and weight loss, in response to a 12-month lifestyle intervention in a subsample of 372 individuals (age 55-75) with overweight/obesity and metabolic syndrome. Participants were stratified by tertiles of baseline body mass index (BMI) and changes in body weight after 12-month intervention. General assessments, anthropometry and biochemical measurements, and stool samples were collected. 16S amplicon sequencing was performed on bacterial DNA extracted from stool samples and microbiota analyzed. Differential abundance analysis showed an enrichment of Prevotella 9, Lachnospiraceae UCG-001 and Bacteroides, associated with a higher weight loss after 12-month of follow-up, whereas in the cross-sectional analysis, Prevotella 2 and Bacteroides were enriched in the lowest tertile of baseline BMI. Our findings suggest that fecal microbiota plays an important role in the control of body weight, supporting specific genera as potential target in personalized nutrition for obesity management. A more in-depth taxonomic identification method and the need of metabolic information encourages to further investigation.

Entities:  

Keywords:  16S sequencing; BMI; clinical trial; gut microbiota; obesity; weight loss

Year:  2021        PMID: 33578731      PMCID: PMC7916506          DOI: 10.3390/microorganisms9020346

Source DB:  PubMed          Journal:  Microorganisms        ISSN: 2076-2607


  39 in total

1.  Composition and energy harvesting capacity of the gut microbiota: relationship to diet, obesity and time in mouse models.

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Journal:  Gut       Date:  2010-10-06       Impact factor: 23.059

2.  Gut microbiome and serum metabolome alterations in obesity and after weight-loss intervention.

Authors:  Ruixin Liu; Jie Hong; Xiaoqiang Xu; Qiang Feng; Dongya Zhang; Yanyun Gu; Juan Shi; Shaoqian Zhao; Wen Liu; Xiaokai Wang; Huihua Xia; Zhipeng Liu; Bin Cui; Peiwen Liang; Liuqing Xi; Jiabin Jin; Xiayang Ying; Xiaolin Wang; Xinjie Zhao; Wanyu Li; Huijue Jia; Zhou Lan; Fengyu Li; Rui Wang; Yingkai Sun; Minglan Yang; Yuxin Shen; Zhuye Jie; Junhua Li; Xiaomin Chen; Huanzi Zhong; Hailiang Xie; Yifei Zhang; Weiqiong Gu; Xiaxing Deng; Baiyong Shen; Xun Xu; Huanming Yang; Guowang Xu; Yufang Bi; Shenghan Lai; Jian Wang; Lu Qi; Lise Madsen; Jiqiu Wang; Guang Ning; Karsten Kristiansen; Weiqing Wang
Journal:  Nat Med       Date:  2017-06-19       Impact factor: 53.440

3.  Pretreatment Prevotella-to-Bacteroides ratio and markers of glucose metabolism as prognostic markers for dietary weight loss maintenance.

Authors:  Mads F Hjorth; Lars Christensen; Louise Kjølbæk; Lesli H Larsen; Henrik M Roager; Pia Kiilerich; Karsten Kristiansen; Arne Astrup
Journal:  Eur J Clin Nutr       Date:  2019-07-08       Impact factor: 4.016

4.  Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial.

Authors:  Christopher D Gardner; John F Trepanowski; Liana C Del Gobbo; Michelle E Hauser; Joseph Rigdon; John P A Ioannidis; Manisha Desai; Abby C King
Journal:  JAMA       Date:  2018-02-20       Impact factor: 56.272

5.  Gut metagenome in European women with normal, impaired and diabetic glucose control.

Authors:  Fredrik H Karlsson; Valentina Tremaroli; Intawat Nookaew; Göran Bergström; Carl Johan Behre; Björn Fagerberg; Jens Nielsen; Fredrik Bäckhed
Journal:  Nature       Date:  2013-05-29       Impact factor: 49.962

6.  Human gut microbiota in obesity and after gastric bypass.

Authors:  Husen Zhang; John K DiBaise; Andrea Zuccolo; Dave Kudrna; Michele Braidotti; Yeisoo Yu; Prathap Parameswaran; Michael D Crowell; Rod Wing; Bruce E Rittmann; Rosa Krajmalnik-Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-21       Impact factor: 11.205

Review 7.  Profile of the gut microbiota of adults with obesity: a systematic review.

Authors:  Louise Crovesy; Daniele Masterson; Eliane Lopes Rosado
Journal:  Eur J Clin Nutr       Date:  2020-03-30       Impact factor: 4.016

8.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

Review 9.  Can Gut Microbiota Composition Predict Response to Dietary Treatments?

Authors:  Jessica R Biesiekierski; Jonna Jalanka; Heidi M Staudacher
Journal:  Nutrients       Date:  2019-05-22       Impact factor: 5.717

10.  Pre-treatment microbial Prevotella-to-Bacteroides ratio, determines body fat loss success during a 6-month randomized controlled diet intervention.

Authors:  M F Hjorth; H M Roager; T M Larsen; S K Poulsen; T R Licht; M I Bahl; Y Zohar; A Astrup
Journal:  Int J Obes (Lond)       Date:  2017-09-08       Impact factor: 5.095

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  4 in total

Review 1.  Faecal Microbiota Transplantation and Chronic Kidney Disease.

Authors:  Ji Bian; Ann Liebert; Brian Bicknell; Xin-Ming Chen; Chunling Huang; Carol A Pollock
Journal:  Nutrients       Date:  2022-06-17       Impact factor: 6.706

2.  Fecal microbial transplantation and fiber supplementation in patients with severe obesity and metabolic syndrome: a randomized double-blind, placebo-controlled phase 2 trial.

Authors:  Valentin Mocanu; Zhengxiao Zhang; Edward C Deehan; Dina H Kao; Naomi Hotte; Shahzeer Karmali; Daniel W Birch; Kalutota K Samarasinghe; Jens Walter; Karen L Madsen
Journal:  Nat Med       Date:  2021-07-05       Impact factor: 53.440

Review 3.  The Relationship of Tree Nuts and Peanuts with Adiposity Parameters: A Systematic Review and Network Meta-Analysis.

Authors:  Rubén Fernández-Rodríguez; Arthur E Mesas; Miriam Garrido-Miguel; Isabel A Martínez-Ortega; Estela Jiménez-López; Vicente Martínez-Vizcaíno
Journal:  Nutrients       Date:  2021-06-30       Impact factor: 5.717

4.  Effect of a Community Gerontology Program on the Control of Metabolic Syndrome in Mexican Older Adults.

Authors:  Víctor Manuel Mendoza-Núñez; Gabriela Pulido-Castillo; Elsa Correa-Muñoz; Juana Rosado-Pérez
Journal:  Healthcare (Basel)       Date:  2022-03-02
  4 in total

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