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Health and disease markers correlate with gut microbiome composition across thousands of people

Author

Listed:
  • Ohad Manor

    (Century Therapeutics)

  • Chengzhen L. Dai

    (Institute for Systems Biology)

  • Sergey A. Kornilov

    (Institute for Systems Biology)

  • Brett Smith

    (Institute for Systems Biology)

  • Nathan D. Price

    (Institute for Systems Biology
    University of Washington)

  • Jennifer C. Lovejoy

    (Institute for Systems Biology)

  • Sean M. Gibbons

    (Institute for Systems Biology
    University of Washington)

  • Andrew T. Magis

    (Institute for Systems Biology)

Abstract

Variation in the human gut microbiome can reflect host lifestyle and behaviors and influence disease biomarker levels in the blood. Understanding the relationships between gut microbes and host phenotypes are critical for understanding wellness and disease. Here, we examine associations between the gut microbiota and ~150 host phenotypic features across ~3,400 individuals. We identify major axes of taxonomic variance in the gut and a putative diversity maximum along the Firmicutes-to-Bacteroidetes axis. Our analyses reveal both known and unknown associations between microbiome composition and host clinical markers and lifestyle factors, including host-microbe associations that are composition-specific. These results suggest potential opportunities for targeted interventions that alter the composition of the microbiome to improve host health. By uncovering the interrelationships between host diet and lifestyle factors, clinical blood markers, and the human gut microbiome at the population-scale, our results serve as a roadmap for future studies on host-microbe interactions and interventions.

Suggested Citation

  • Ohad Manor & Chengzhen L. Dai & Sergey A. Kornilov & Brett Smith & Nathan D. Price & Jennifer C. Lovejoy & Sean M. Gibbons & Andrew T. Magis, 2020. "Health and disease markers correlate with gut microbiome composition across thousands of people," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18871-1
    DOI: 10.1038/s41467-020-18871-1
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    Cited by:

    1. Jordina Balaguer-Trias & Deepika Deepika & Marta Schuhmacher & Vikas Kumar, 2022. "Impact of Contaminants on Microbiota: Linking the Gut–Brain Axis with Neurotoxicity," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    2. Shuqin Zeng & Dhrati Patangia & Alexandre Almeida & Zhemin Zhou & Dezhi Mu & R. Paul Ross & Catherine Stanton & Shaopu Wang, 2022. "A compendium of 32,277 metagenome-assembled genomes and over 80 million genes from the early-life human gut microbiome," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Yask Gupta & Anna Lara Ernst & Artem Vorobyev & Foteini Beltsiou & Detlef Zillikens & Katja Bieber & Simone Sanna-Cherchi & Angela M. Christiano & Christian D. Sadik & Ralf J. Ludwig & Tanya Sezin, 2023. "Impact of diet and host genetics on the murine intestinal mycobiome," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    4. Ernesto De la Paz & Nikhil Harsha Maganti & Alexander Trifonov & Itthipon Jeerapan & Kuldeep Mahato & Lu Yin & Thitaporn Sonsa-ard & Nicolas Ma & Won Jung & Ryan Burns & Amir Zarrinpar & Joseph Wang &, 2022. "A self-powered ingestible wireless biosensing system for real-time in situ monitoring of gastrointestinal tract metabolites," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Yadid M. Algavi & Elhanan Borenstein, 2023. "A data-driven approach for predicting the impact of drugs on the human microbiome," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    6. Benjamin H. Good & Layton B. Rosenfeld, 2023. "Eco-evolutionary feedbacks in the human gut microbiome," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    7. Julien Tap & Franck Lejzerowicz & Aurélie Cotillard & Matthieu Pichaud & Daniel McDonald & Se Jin Song & Rob Knight & Patrick Veiga & Muriel Derrien, 2023. "Global branches and local states of the human gut microbiome define associations with environmental and intrinsic factors," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Mendler, Isabella-Hilda & Drossel, Barbara & Hütt, Marc-Thorsten, 2024. "Microbiome abundance patterns as attractors and the implications for the inference of microbial interaction networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    9. Steven R. McGreevy & Christoph D. D. Rupprecht & Daniel Niles & Arnim Wiek & Michael Carolan & Giorgos Kallis & Kanang Kantamaturapoj & Astrid Mangnus & Petr Jehlička & Oliver Taherzadeh & Marlyne Sah, 2022. "Sustainable agrifood systems for a post-growth world," Nature Sustainability, Nature, vol. 5(12), pages 1011-1017, December.

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