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Human Skin, Oral, and Gut Microbiomes Predict Chronological Age
Open accessAbstract
Considerable evidence suggests that the gut microbiome changes with age or even accelerates aging in adults. Whether the age-related changes in the gut microbiome are more or less prominent than those for other body sites and whether predictions can be made about a person’s age from a microbiome sample remain unknown. We therefore combined several large studies from different countries to determine which body site’s microbiome could most accurately predict age. We found that the skin was the best, on average yielding predictions within 4 years of chronological age. This study sets the stage for future research on the role of the microbiome in accelerating or decelerating the aging process and in the susceptibility for age-related diseases.
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“Notably, the microbiome of skin has been found to predict a person’s actual age accurately.160,163”
From Inflammation and aging: signaling pathways and intervention therapies (2023) · cites this paper as [163]
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“we repeated all bioinformatic, normalization, and ML steps using bacterial assignments from SHOGUN31 and its separate database48, which showed highly concordant performances”
From RETRACTED ARTICLE: Microbiome analyses of blood and tissues suggest cancer diagnostic approach (2020) · cites this paper as [48]
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“The ‘Web of Life’ database48 used for SHOGUN taxonomy assignments did not contain viruses, and SHOGUN processed a subset of all TCGA samples evaluated by Kraken (13,517 vs 17,625 samples).”
From RETRACTED ARTICLE: Microbiome analyses of blood and tissues suggest cancer diagnostic approach (2020) · cites this paper as [48]
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., Alexander, H., Alm, E. J., Arumugam, M., Asnicar, F., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0209-9 · Cited by 23,742
Self-citationHuman 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
Self-citationranger : A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Wright, M. N., & Ziegler, A. (2017) · Journal of Statistical Software · doi:10.18637/jss.v077.i01 · Cited by 3,823
Topographical and Temporal Diversity of the Human Skin Microbiome
Grice, E. A., Kong, H. H., Conlan, S., Deming, C. B., Davis, J., Young, A. C., Program, N. C. S., Bouffard, G. G., Blakesley, R. W., Murray, P. R., et al. (2009) · Science · doi:10.1126/science.1171700 · Cited by 2,953
Population-level analysis of gut microbiome variation
Falony, G., Joossens, M., Vieira-Silva, S., Wang, J., Darzi, Y., Faust, K., Kurilshikov, A., Bonder, M. J., Valles-Colomer, M., Vandeputte, D., et al. (2016) · Science · doi:10.1126/science.aad3503 · Cited by 2,400
Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
Zhernakova, A., Kurilshikov, A., Bonder, M. J., Tigchelaar, E. F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A. V., Falony, G., Vieira-Silva, S., et al. (2016) · Science · doi:10.1126/science.aad3369 · Cited by 1,914
Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns
Amir, A., McDonald, D., Navas-Molina, J. A., Kopylova, E., Morton, J. T., Zech Xu, Z., Kightley, E. P., Thompson, L. R., Hyde, E. R., Gonzalez, A., et al. (2017) · mSystems · doi:10.1128/msystems.00191-16 · Cited by 1,881
Self-citationMoving pictures of the human microbiome
Caporaso, J. G., Lauber, C. L., Costello, E. K., Berg-Lyons, D., Gonzalez, A., Stombaugh, J., Knights, D., Gajer, P., Ravel, J., Fierer, N., et al. (2011) · Genome Biology · doi:10.1186/gb-2011-12-5-r50 · Cited by 1,138
Self-citationPartial restoration of the microbiota of cesarean-born infants via vaginal microbial transfer
Dominguez-Bello, M. G., De Jesus-Laboy, K. M., Shen, N., Cox, L. M., Amir, A., Gonzalez, A., Bokulich, N. A., Song, S. J., Hoashi, M., Rivera-Vinas, J. I., et al. (2016) · Nature Medicine · doi:10.1038/nm.4039 · Cited by 1,014
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Items 101–165 of 165
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Bacterial DNA on the skin surface overrepresents the viable skin microbiomePreprint
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Dasari, M. R., Roche, K. E., Jansen, D., Anderson, J. A., Alberts, S. C., Tung, J., Gilbert, J. A., Blekhman, R., Mukherjee, S., & Archie, E. A. (2024) · eLife · doi:10.7554/elife.102166 · Cited by 8
Sang, Y., Nahashon, S. N., & Webby, R. J. (2025) · Vaccines · doi:10.3390/vaccines13080837 · Cited by 9
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Guo, X., Gu, L., Luo, Y., Wang, S., Luo, H., & Song, F. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1186372 · Cited by 7
Tracing human life trajectory using gut microbial communities by context-aware deep learning
Zhang, H., Chong, H., Yu, Q., Zha, Y., Cheng, M., & Ning, K. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbac629 · Cited by 6
Henze, L., Walter, U., Escobar, H. M., Junghanß, C., Jaster, R., Köhling, R., Lange, F., Salehzadeh‐Yazdi, A., Wolkenhauer, O., Hamed, M., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-039560 · Cited by 6
Abadías‐Granado, I., Sánchez‐Bernal, J., & Gilaberte, Y. (2022) · Plastic and Aesthetic Research · doi:10.20517/2347-9264.2020.199 · Cited by 7
Dass, M., Abbai, N. S., & Ghai, M. (2025) · International Journal of Legal Medicine · doi:10.1007/s00414-025-03610-2 · Cited by 7
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Rock, R. R., & Turnbaugh, P. J. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002087 · Cited by 5
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Leem, S., Keum, H. L., Song, H. J., Gu, K., Kim, Y., Seo, J. Y., Shin, J., Lee, S., Lee, S. M., Sul, W. J., et al. (2023) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.16070 · Cited by 5
Delanghe, L., Boeck, I. D., Malderen, J. V., Gehrmann, T., Allonsius, C. N., Bron, P. A., Claes, I. J. J., Hagendorens, M. M., Leysen, J., Wittouck, S., et al. (2024) · Microbiome Research Reports · doi:10.20517/mrr.2024.23 · Cited by 4
Monshizadeh, M., Hong, Y., & Ye, Y. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbae203 · Cited by 4
Li, W., Xing, Y., Gan, L., et al. (2022) · Journal of Forensic Sciences · doi:10.1111/1556-4029.15173 · Cited by 4
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Fan, R., Ma, Y., Sun, M., Zhang, H., Han, Y., Wang, J., Zhu, W., & Zhang, Z. (2025) · Nutrients · doi:10.3390/nu17172810 · Cited by 3
Pan, Y., & Lv, Y. (2025) · Medicine Science and the Law · doi:10.1177/00258024251378811 · Cited by 3
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Social and environmental predictors of gut microbiome age in wild baboons
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The dynamic communities of oral microbiome in neonates
Guo, H., Li, J., Yao, H., Liu, Y., Ji, Y., Zhang, J., Zhao, Y. L., & Du, M. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1052525 · Cited by 3
Skladaný, Ľ., Koller, T., Kukla, M., & Šoltýs, K. (2023) · Advances in predictive, preventive and personalised medicine · doi:10.1007/978-3-031-34884-6_9 · Cited by 3
Buendia, P., Fernandez, K., Raley, C., Rahnavard, A., Crandall, K. A., & Castro, J. G. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1346762 · Cited by 3
Li, Y., Ma, L., Fan, L., Wu, C., Luo, D., & Jiang, F. (2025) · Journal of Cosmetic Dermatology · doi:10.1111/jocd.16762 · Cited by 3
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Tekin, B., & Gurbanov, R. (2026) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-026-05017-6 · Cited by 4
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Adachi, A., Zhang, F., Kanaya, S., & Ono, N. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbaf045 · Cited by 3
ROSENBERG, E. B. (2021) · The microbiomes of humans, animals, plants, and the environment · doi:10.1007/978-3-030-65317-0_3 · Cited by 2
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Litichevskiy, L., Considine, M., Gill, J., Shandar, V., Cox, T. O., Descamps, H. C., Wright, K. M., Amses, K. R., Dohnalová, L., Liou, M. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.28.568137 · Cited by 3
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Адаскевич, В. П., Gorodovich, A. N., Zaslavsky, D. V., Okhlopkov, V. A., Smirnova, I. O., Таганов, А. В., Тамразова, О. Б., Леонидовна, Ш. И., & Khazhomiya, K. D. (2025) · Russian Journal of Skin and Venereal Diseases · doi:10.17816/dv642248 · Cited by 1
Advances in multi-omics and aging clock research for female reproductive health and aging
Wang, R., Li, Y., & Zhu, L. (2026) · MedScience · doi:10.1007/s11684-026-1207-1 · Cited by 2
Ni, Z., Xie, J., Zhang, Z., Zhang, K., Ding, J., Chang, M., Su, Y., Zhang, Y., Yao, M., Wang, C., et al. (2026) · iMeta · doi:10.1002/imt2.70148 · Cited by 1
Moreau, M., & Zhen, Y. (2022) · Wiley eBooks · doi:10.1002/9781119676881.ch8 · Cited by 1
Sapkota, R., Jørgensen, L. N., Boeglin, L., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-1007499/v1 · Cited by 1
Social and environmental predictors of gut microbiome age in wild baboonsPreprint
Dasari, M. R., Roche, K. E., Jansen, D., Anderson, J. A., Alberts, S. C., Tung, J., Gilbert, J. A., Blekhman, R., Mukherjee, S., & Archie, E. A. (2024) · eLife · doi:10.7554/elife.102166.1 · Cited by 1
Li, S., Guo, R., Zhang, Y., Li, P., Chen, F., Wang, X., Li, J., Jie, Z., Lv, Q., Jin, H., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3981896
Microbiota in utero? When and Where Microbial Establishment Starts?
Jiménez, E. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819265-8.00073-5
Ghosh, T. S., Shanahan, F., & O’Toole, P. W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99971-7.00005-9
Mehta, N., & Gupta, S. (2024) · Springer eBooks · doi:10.1007/978-981-97-0411-8_2
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Gupta, V. K., Cunningham, K. Y., Hur, B., Bakshi, U., Huang, H., Warrington, K. J., Taneja, V., Myasoedova, E., Davis, J. M., & Sung, J. (2021) · Figshare · doi:10.6084/m9.figshare.16614551
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Dash, H. R., & Das, S. (2026) · Advances in applied microbiology · doi:10.1016/bs.aambs.2026.04.001
Bak, N. K., Østergaard, S. K., Schacksen, P. S., Nielsen, J. L., Rohde, P. D., & Kristensen, T. N. (2026) · Biogerontology · doi:10.1007/s10522-026-10431-2
Yu, D., Zhang, L., Zhang, L., Damu, A., Gao, N., Xu, J., Hao, J., Xiao, Y., Zhang, J., & Yan, J. (2026) · International Journal of Legal Medicine · doi:10.1007/s00414-026-03867-1
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Olenik, M., Güderer, İ., Wang, Y., Alvi, T., Pandey, P., & Dönertaş, H. M. (2026) · FEBS Letters · doi:10.1002/1873-3468.70397
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Sanabani, S. S. (2026) · Anais Brasileiros de Dermatologia · doi:10.1016/j.abd.2026.501393 · Cited by 2
Dynamic shifts in cutaneous bacterial and fungal communities throughout human aging: a pilot study
Li, T., Xin, G. E., Ganglian, C. H. E. N., HUANG, Z., Li, Y., Wan, Z., Li, R., Wang, R., & Liu, W. (2026) · BMC Microbiology · doi:10.1186/s12866-026-05355-3
Dynamics and drivers of the human breast milk microbiome across lactation stages
Xie, Y. D., Lu, Y., 蔣仲桓, et al. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1861294
Yeni, D. K., Güven, D., BÜYÜK, F., & Gökmen, M. C. (2026) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2026.107638
Biological Age: A New Concept or a Linguistic Pivot?
Johnson, A. A. (2026) · Rejuvenation Research · doi:10.1177/15491684261473058
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Alenezi, D., Mousawi, F., & Haidar, M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40634-8.00032-5
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Rodgers, S., Ogbanga, N., & Randall, K. C. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40634-8.00025-8
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Nilendu, D., & Khandelwal, D. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40634-8.00046-5
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Arana, M. H., Wiegand, C., Omrani, O., & Fabri, M. (2026) · FEBS Letters · doi:10.1002/1873-3468.70435
Guo, T., Chen, Y., Yu, Y., Shao, Y., Wang, C., Li, X., Zhang, H., Xu, C., Cheung, Y., Chen, F., et al. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1903972
Ruthbah, C. A., Sadi, T. H., Jahan, N. E. S., & Adib, A. N. M. T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.09.750358
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Rentz, L. E., Sathe, M., & Karig, D. (2026) · Academia molecular biology and genomics. · doi:10.20935/acadmolbiogen8511
Su, K., Wu, D., Xia, Y., Tian, S., Li, C., Ji, J., Guo, Y., Zhao, X., Huang, J., Hu, S., et al. (2026) · Forensic Science International · doi:10.1016/j.forsciint.2026.113154
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Lei, Y., Liu, Q., & Lu, Q. (2026) · Microbiome Research Reports · doi:10.20517/mrr.2026.42
Cha, H.-E., Jeon, A.-J., Cho, H.-S., Lee, J.-W., Seo, J., Lee, S., & Lim, S. (2026) · Legal Medicine · doi:10.1016/j.legalmed.2026.103038 · Cited by 1
Metadata
- Authors
- Huang, S., Haiminen, N., Carrieri, A.-P., Hu, R., Jiang, L., Parida, L., Russell, B., Allaband, C., Zarrinpar, A., Vázquez-Baeza, Y., Belda-Ferre, P., Zhou, H., Kim, H.-C., Swafford, A. D., Knight, R., & Xu, Z. Z.
- Affiliations
- University of California San Diego (US)
- IBM Research - Thomas J. Watson Research Center (US)
- IBM (United Kingdom) (GB)
- Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California, USA
- Zhujiang Hospital (CN)
- IBM Research - Almaden (US)
- Nanchang University (CN)
- Corresponding author
- Knight, Rob
- Xu, Zhenjiang Zech
- ORCID
- Venue
- mSystems
- Publisher
- American Society for Microbiology
- Published
- 2020-02-11
- Volume
- 5
- Issue
- 1
- ISSN
- 2379-5077 (ISSN-L)
- PMC
- PMC7018528
- OpenAlex
- W3006148598
- Cited by
- 167
- References
- 27
- Citations by year
- 2026: 27 · 2025: 22 · 2024: 35 · 2023: 24 · 2022: 27 · 2021: 24 · 2020: 7
- FWCI
- 6.65
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- mSystems (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (KL2TR000099, UL1TR001442, T32OD017863, DK120515)
- National Heart, Lung, and Blood Institute (R01HL148801)
- National Institute of Mental Health (R21MH117780)
- National Institute of Diabetes and Digestive and Kidney Diseases (R03DK114536, DK120515, K08DK102902, P30DK120515, P30DK063491)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- chronological age estimation, skin microbiome, oral microbiota, gut microbiota, aging, age-related diseases
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