Opposing microbiome-mediated axes link modifiable lifestyles to health and chronic diseases
Analyses disentangling the role of the gut microbiome in linking lifestyle factors to health outcomes remain limited. Here, using fecal shotgun metagenomics from 6,803 adults in the Japanese 4D cohort, we identified two opposing microbiome-mediated axes linking lifestyle to health and 15 diseases. A health-associated axis enriched in microbial metabolism of dietary components was linked to plant-based, soy and dairy intake. In contrast, a disease-associated axis, enriched in oral-derived bacteria and pathobionts, was linked to refined carbohydrates and sedentary behavior. Starter culture microorganisms used to ferment foods did not show statistically significant mediation of the observed health effects. Alcohol was associated with both health- and disease-oriented mediation patterns involving microbial host-glycan utilization. Microbiome-defined health- and disease-oriented mediator axes were supported by fecal short-chain fatty acids and plasma cytokines from >1,700 individuals, revealing butyrate-associated anti-inflammatory and pro-inflammatory host profiles, respectively. Microbiome-based prediction (MADE) scores captured lifestyle–microbiome–disease mediation patterns and distinguished individual diseases across 13 independent external cohorts from the United States, China, Sweden, Russia and Australia. We identify the gut microbiome as a key mediator linking lifestyle to health and disease, providing a framework for microbiome-based assessment to guide lifestyle interventions for health promotion and disease prevention. Fecal shotgun metagenomics from 6,803 adults in the Japanese 4D cohort and microbiome-based prediction scores validated across 13 independent and geographically diverse cohorts revealed two opposing microbiome-mediated axes linking lifestyle to health and 15 diseases.
Authors
- Suguru Nishijima (ORCID: https://orcid.org/0000-0002-8444-9272)
- Takashi Hamabata (ORCID: https://orcid.org/0000-0003-0429-6550)
- Ran Wei (ORCID: https://orcid.org/0000-0002-5121-3650)
- Ryo Aoki (ORCID: https://orcid.org/0009-0007-2780-522X)
- Yasushi Kojima (ORCID: https://orcid.org/0000-0002-0087-1768)
- Masahira Hattori (ORCID: https://orcid.org/0000-0001-9467-0344)
- Naomi Uemura (ORCID: https://orcid.org/0000-0003-2436-1233)
- Masaya Sugiyama (ORCID: https://orcid.org/0000-0002-9084-7197)
- Toru NAKAGAWA
- Mitsuru Ohsugi (ORCID: https://orcid.org/0000-0002-3222-8507)
- Yumiko Nakanishi
- Ryo Suzuki (ORCID: https://orcid.org/0000-0002-2965-6906)
- Hiroshi Ohno (ORCID: https://orcid.org/0000-0001-8776-9661)
- Naoyoshi Nagata (ORCID: https://orcid.org/0000-0002-7255-4024)
- Michael Kuhn (ORCID: https://orcid.org/0000-0002-2841-872X)
- Yoshiaki Tamura (ORCID: https://orcid.org/0000-0003-4829-3319)
- Kohjiro Ueki (ORCID: https://orcid.org/0000-0003-1523-8102)
- Peer Bork
- Ayumi Ito
- Shohei Asami
- Gen Kaneko
Institutions
- Waseda University (JP)
- Tokyo Medical University (JP)
- National Center for Global Health and Medicine (JP)
- Tokyo Medical University Hospital (JP)
- Ezaki Glico (Japan) (JP)
- European Molecular Biology Laboratory (DE)
- RIKEN Center for Integrative Medical Sciences (JP)
- National Institute of Global Health and Medicine (JP)
- Japan Institute for Health Security (JP)
- Life Science Data Research Center (JP)
- Hitachi (Japan) (JP)
- The University of Tokyo (JP)
Publication Details
- Journal
- Nature Medicine
- Published
- 2026-11-05
- DOI
- https://doi.org/10.1038/s41591-026-04744-5
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.00