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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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Cites
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444 · cited 1×
“Transplanting microbiota from genetically obese ob/ob mice into germ-free lean C57BL/6J mice induces obesity in the recipients compared to controls despite similar caloric intake (Turnbaugh et al., 2006), suggesting that their ability to glean nutrients is affected by themicrobes.”
BackgroundHuman gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815 · cited 1×
“As humans age, the composition of our microbiome changes (Yatsunenko et al., 2012).”
BackgroundHost-gut microbiota metabolic interactions
Nicholson, J. K., Holmes, E., Kinross, J., Burcelin, R., Gibson, G., Jia, W., & Pettersson, S. (2012) · Science · doi:10.1126/science.1223813 · Cited by 4,760 · cited 1×
“Commensal bacteria can affect the nutrient landscape of the host—the majority of metabolites in human plasma are microbe-derived (Nicholson et al., 2012)—but recent work suggests that bacterial-derived metabolites can affect host longevity.”
BackgroundThe human microbiome: at the interface of health and disease
Cho, I., & Blaser, M. J. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3182 · Cited by 3,449 · cited 4×
“Despite coevolving in the presence of this ‘‘microbiome’’ for 500million years (Cho and Blaser, 2012), only recently have advances in sequencing technology allowed us to appreciate the complexities of this relationship and the manner by which genomes within metaorganisms interact and affect one…”
BackgroundInfluentialKenyon, C. J. (2010) · Nature · doi:10.1038/nature08980 · Cited by 2,739 · cited 15×
“Unlike worms, the effect of associated bacteria on Drosophila lifespan is less clear and may depend upon the precise composition of the microbiota population.”
BackgroundInfluentialMetformin improves healthspan and lifespan in mice
Martin-Montalvo, A., Mercken, E. M., Mitchell, S. J., Palacios, H. H., Mote, P. L., Scheibye-Knudsen, M., Gomes, A. P., Ward, T. M., Minor, R. K., Blouin, M.-J., et al. (2013) · Nature Communications · doi:10.1038/ncomms3192 · Cited by 1,445
Zhang, L., Hou, D., Chen, X., Li, D., Zhu, L., Zhang, Y., Li, J., Bian, Z., Liang, X., Cai, X., et al. (2012) · Cell Research · doi:10.1038/cr.2011.158 · Cited by 1,216 · cited 1×
“However, microRNAs derived from plants are present in human and rodent serum and tissues (Zhang et al., 2012), suggesting such interspecies communication is feasible.”
BackgroundMetformin retards aging in C. elegans by altering microbial folate and methionine metabolism
Cabreiro, F., Au, C., Leung, K.-Y., Vergara-Irigaray, N., Cochemé, H. M., Noori, T., Weinkove, D., Schuster, E., Greene, N. D. E., & Gems, D. (2013) · Cell · doi:10.1016/j.cell.2013.02.035 · Cited by 967 · cited 2×
“Metformin increases lifespan in rodents (Martin-Montalvo et al., , January 30, 2014 ª2014 Elsevier Inc. 409 2013), and a side effect of metformin treatment in humans is reduced folate levels (Cabreiro et al., 2013).”
BackgroundStorelli, G., Defaye, A., Erkoşar, B., Pascal Hols, A., Royet, J., & Leulier, F. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.07.012 · Cited by 816 · cited 2×
“Flies overexpressing the inhibitor of TOR complex 1 are resistant to the effects of L. plantarum on growth (Storelli et al., 2011).”
BackgroundPGRP-SC2 Promotes Gut Immune Homeostasis to Limit Commensal Dysbiosis and Extend Lifespan
Guo, L., Karpac, J., Tran, S. L., & Jasper, H. (2014) · Cell · doi:10.1016/j.cell.2013.12.018 · Cited by 464
Rictor/TORC2 regulates fat metabolism, feeding, growth, and life span in Caenorhabditis elegans
Soukas, A. A., Kane, E. A., Carr, C. E., Melo, J. A., & Ruvkun, G. (2009) · Genes & Development · doi:10.1101/gad.1775409 · Cited by 380 · cited 1×
“Rictor mutants are short lived when cultured on standard B-derived OP50 bacteria, yet when grown on the K12derived E. coli HT115, they are long lived by 76% (Soukas et al., 2009).”
BackgroundIncreased Internal and External Bacterial Load during Drosophila Aging without Life-Span Trade-Off
Ren, C., Webster, P. C., Finkel, S. E., & Tower, J. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.06.006 · Cited by 367 · cited 4×
“Invertebrate model systems such as the fruit fly Drosophila melanogaster and the nematode worm Caenorhabditis elegans (C. elegans) also live in the presence of microbiota both in nature and in the laboratory (Ren et al., 2007; Zhang and Hou, 2013).”
BackgroundMethodInfluentialDrosophila lifespan enhancement by exogenous bacteria
Brummel, T., Ching, A., Seroude, L., Simon, A. F., & Benzer, S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0405207101 · Cited by 320 · cited 1×
“Early reports suggested that culturing Drosophila axenically shortened lifespan, with the presence of bacteria within the first week of adult life slowing aging (Brummel et al., 2004).”
BackgroundDiet-Induced Developmental Acceleration Independent of TOR and Insulin in C. elegans
MacNeil, L. T., Watson, E. V., Arda, H. E., Zhu, L. J., & Walhout, A. J. M. (2013) · Cell · doi:10.1016/j.cell.2013.02.049 · Cited by 299 · cited 1×
“Interestingly, worms are acutely sensitive to signals emanating from DA1877; diluting OP50 with only 0.1% DA1877 still suppressed the reporter and induced similar transcriptional responses to DA1877 alone (MacNeil et al., 2013).”
BackgroundInfluentialDiffusible signals and interspecies communication in bacteria
Ryan, R. P., & Dow, J. M. (2008) · Microbiology · doi:10.1099/mic.0.2008/017871-0 · Cited by 298 · cited 1×
“Direct Interspecies Signaling and Aging Given the proximity of microbes and host within the metaorganism, diffusible molecules originating in bacteria can directly affect cells in the host (Ryan and Dow, 2008).”
BackgroundThe Influence of Bacterial Diet on Fat Storage in C. elegans
Brooks, K. K., Liang, B., & Watts, J. L. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007545 · Cited by 293 · cited 2×
“This effect on worm lipid composition is abolished in animals lacking the peptide transporter PEPT-1 (Brooks et al., 2009).”
BackgroundThe Snell dwarf mutation Pit1dw can increase life span in mice
Flurkey, K., Papaconstantinou, J., & Harrison, D. E. (2002) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(01)00339-6 · Cited by 218 · cited 1×
“Snell dwarfmice, deficient in thyroid hormone, are long lived by up to 50%, yet decades earlier, thesemice were touted as a model of rapid aging and progeria (Flurkey et al., 2002).”
BackgroundHouthoofd, K., Braeckman, B. P., Lenaerts, I., Brys, K., Vreese, A. D., Eygen, S. V., & Vanfleteren, J. R. (2002) · Experimental Gerontology · doi:10.1016/s0531-5565(02)00173-0 · Cited by 211 · cited 1×
“Culturing worms axenically robustly increases their lifespan (Houthoofd et al., 2002).”
BackgroundBacterial Nitric Oxide Extends the Lifespan of C. elegans
Gusarov, I., Gautier, L., Смоленцева, О. А., Shamovsky, I., Eremina, S. Y., Mironov, A. S., & Nudler, E. (2013) · Cell · doi:10.1016/j.cell.2012.12.043 · Cited by 204 · cited 1×
“As a critical signaling molecule, NO has been implicated in multiple functions, including neurotransmission, immunity, and cardiovascular function (Gusarov et al., 2013).”
BackgroundEscherichia coli noncoding RNAs can affect gene expression and physiology of Caenorhabditis elegans
Liu, H., Wang, X., Wang, H., Wu, J., Ren, J., Meng, L., Wu, Q., Dong, H., Wu, J., Kao, T., et al. (2012) · Nature Communications · doi:10.1038/ncomms2071 · Cited by 137 · cited 3×
“Feeding E. coli expressing a double-stranded C. elegans RNA sequence efficiently suppresses the worm gene (Liu et al., 2012).”
BackgroundInfluentialIntegration of metabolic and gene regulatory networks modulates the C. elegans dietary response
Watson, E., MacNeil, L. T., Arda, H. E., Zhu, L. J., & Walhout, A. J. M. (2013) · Cell · doi:10.1016/j.cell.2013.02.050 · Cited by 134 · cited 1×
“Hence, DA1877 can induce whole-scale metabolic responses in the worm to modulate development and aging (Watson et al., 2013) (Figure 1D).”
BackgroundAdaptive Capacity to Bacterial Diet Modulates Aging in C. elegans
Pang, S., & Curran, S. P. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2013.12.005 · Cited by 132
Excessive folate synthesis limits lifespan in the C. elegans: E. coliaging model
Virk, B., Correia, G. D. S., Dixon, D. P., Feyst, I., Jia, J., Oberleitner, N., Briggs, Z., Hodge, E., Edwards, R., Ward, J. M., et al. (2012) · BMC Biology · doi:10.1186/1741-7007-10-67 · Cited by 123 · cited 1×
“Metformin suppresses folate metabolism specifically in E. coli, and feeding worms either the antibiotic trimethoprim, which inhibits dihydrofolate reductase in bacteria, or E. coli mutants with suppressed folate metabolism (Virk et al., 2012) also increases lifespan.”
BackgroundMetabolic Regulation of Stem Cell Behavior and Implications for Aging
Jasper, H., & Jones, D. L. (2010) · Cell Metabolism · doi:10.1016/j.cmet.2010.11.010 · Cited by 55 · cited 1×
“Tipping the balance toward quiescence limits intestinal rejuvenation, whereas ISC overproliferation causes epithelial dysplasia (Jasper and Jones, 2010).”
BackgroundHost-Microbe Interactions inCaenorhabditis elegans
Zhang, R., & Hou, A. (2013) · ISRN Microbiology · doi:10.1155/2013/356451 · Cited by 53 · cited 2×
“Invertebrate model systems such as the fruit fly Drosophila melanogaster and the nematode worm Caenorhabditis elegans (C. elegans) also live in the presence of microbiota both in nature and in the laboratory (Ren et al., 2007; Zhang and Hou, 2013).”
Background
Research works printed but not linked: 1
- Pang, 2014, Cell Metab.
Cited by
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Geroscience: Linking Aging to Chronic Disease
Kennedy, B. K., Berger, S. L., Brunet, A., Campisi, J., Cuervo, A. M., Epel, E. S., Franceschi, C., Lithgow, G. J., Morimoto, R. I., Pessin, J. E., et al. (2014) · Cell · doi:10.1016/j.cell.2014.10.039 · Cited by 2,764
Autophagy as a promoter of longevity: insights from model organisms
Hansen, M., Rubinsztein, D. C., & Walker, D. W. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0033-y · Cited by 754
Sofroniew, M. V. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a020420 · Cited by 695
“The potential impact of concurrent low-grade infections, or even of microbiome (Heintz and Mair 2014), on astrogliosis and responses to CNS insults is likely to be an interesting area of future research.”
BackgroundSleep Loss Can Cause Death through Accumulation of Reactive Oxygen Species in the Gut
Vaccaro, A., Kaplan Dor, Y., Nambara, K., Pollina, E. A., Lin, C., Greenberg, M. E., & Rogulja, D. (2020) · Cell · doi:10.1016/j.cell.2020.04.049 · Cited by 541
Clark, R. I., Salazar, A., Yamada, R., Fitz-Gibbon, S., Morselli, M., Alcaraz, J., Rana, A., Rera, M., Pellegrini, M., Ja, W. W., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.08.004 · Cited by 510
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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