Original Article | Published:

Clinical Studies and Practice

Body size phenotypes comprehensively assess cardiometabolic risk and refine the association between obesity and gut microbiota

International Journal of Obesity volume 42, pages 424432 (2018) | Download Citation

Abstract

Objective:

The gut microbiota associates with obesity and related disorders, but recent meta-analyses have found that this association is, at best, of small effect. We argue that such analyses are flawed by the use of body mass index (BMI) as sole proxy for disease, and explore a classification method that distinguishes the cardiometabolic health status of individuals to look for more comprehensive associations between gut microbes and health.

Design:

We analyzed a 441 community-dwelling cohort on which we obtained demographic and health information, anthropometry and blood biochemistry data that served to categorize participants according to BMI, cardiometabolic health status and body size phenotypes. In addition, the participants donated fecal samples from which we performed 16S rRNA gene sequencing to analyze the gut microbiota.

Results:

We observed that health-related variables deteriorate with increased BMI, and that there are further discrepancies within a given BMI category when distinguishing cardiometabolically healthy and unhealthy individuals. Regarding the gut microbiota, both obesity and cardiovascular disease associate with reductions in α-diversity; having lean, healthy individuals the most diverse microbiotas. Moreover, the association between the gut microbiota and health stems from particular consortia of microbes; the prevalence of consortia involving pathobionts and Lachnospiraceae are increased in obese and cardiometabolically abnormal subjects, whereas consortia including Akkermansia muciniphila and Methanobrevibacter, Oscillospira and Dialister have higher prevalence in cardiometabolically healthy and normoweight participants.

Conclusions:

The incorporation of cardiometabolic data allows a refined identification of dissimilarities in the gut microbiota; within a given BMI category, marker taxa associated with obesity and cardiometabolic disease are exacerbated in individuals with abnormal health status. Our results highlight the importance of the detailed assessment and classification of individuals that should be carried out prior to the evaluation of obesity treatments targeting the gut microbiota.

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Acknowledgements

We thank the participants who took part in the study, and the Vidarium, EPS SURA and Dinámica IPS staff that helped with recruitment and field work; the APOLO Scientific Computing Center at EAFIT University hosted bioinformatics resources and the University of Michigan Medical School Host Microbiome Initiative for sequencing. This work was funded by Grupo Empresarial Nutresa, EPS SURA, and Dinámica I.P.S.

Author information

Author notes

    • J de la Cuesta-Zuluaga

    Current address: Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany.

Affiliations

  1. Vidarium, Nutrition, Health and Wellness Research Center, Grupo Empresarial Nutresa, Medellin, Colombia

    • J de la Cuesta-Zuluaga
    • , V Corrales-Agudelo
    •  & J S Escobar
  2. Dinámica IPS, Especialista en Ayudas Diagnósticas, Medellin, Colombia

    • J A Carmona
  3. EPS SURA, Medellin, Colombia

    • J M Abad

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Competing interests

JdlCZ, VCA and JSE are employees of a food company. JAC and JMA are employees of health provider companies..

Corresponding author

Correspondence to J S Escobar.

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DOI

https://doi.org/10.1038/ijo.2017.281

DISCLAIMER

The funders of this work have not had any role in designing or conducting the study; in the collection, analysis, or interpretation of the data; in the preparation, review, or approval of the manuscript; or in the decision to submit the manuscript for publication.

Supplementary Information accompanies this paper on International Journal of Obesity website (http://www.nature.com/ijo)