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You Are What You Host: Microbiome Modulation of the Aging Process
Open accessAbstract
The critical impact that microbiota have on health and disease makes the interaction between host and microbiome increasingly important as we evaluate therapeutics. Here, we highlight growing evidence that, beyond disease, microbes also affect the most fundamental of host physiological phenotypes, the rate of aging itself.
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“The microbial composition and diversity of the gut ecosystem changes with aging [10], as Bifidobacteria have been reported to decrease [11], while facultative anaerobes, including Streptococci, Staphylococci, Enterococci and Enterobacteria, increase with age [12]”
From Aging of the immune system: Focus on inflammation and vaccination (2016) · cites this paper as [10]
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Metadata
- Authors
- Heintz, C., & Mair, W.
- Affiliations
- Harvard University (US)
- Corresponding author
- Mair, William
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 156
- Issue
- 3
- Pages
- 408-411
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3956044
- OpenAlex
- W2095090113
- Cited by
- 222
- References
- 25
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 15 · 2023: 14 · 2022: 16 · 2021: 23 · 2020: 16 · 2019: 23 · 2018: 24 · 2017: 25 · 2016: 20 · 2015: 21 · 2014: 12
- FWCI
- 8.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Ellison Medical Foundation
- National Institute on Aging (R01AG044346)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- microbiome, aging, host-microbe interactions, microbiota modulation, host physiology, age-related diseases, therapeutics
- MeSH terms
- Aging, Animals, Humans, Longevity, Models, Animal, Metagenome, Microbiota
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