Human Skin, Oral, and Gut Microbiomes Predict Chronological Age

Author:

Huang Shi12,Haiminen Niina3,Carrieri Anna-Paola4,Hu Rebecca1,Jiang Lingjing15,Parida Laxmi3,Russell Baylee6,Allaband Celeste7,Zarrinpar Amir68,Vázquez-Baeza Yoshiki12,Belda-Ferre Pedro12,Zhou Hongwei9,Kim Ho-Cheol10,Swafford Austin D.1,Knight Rob121112,Xu Zhenjiang Zech213

Affiliation:

1. Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, California, USA

2. UCSD Health Department of Pediatrics, University of California, San Diego, La Jolla, California, USA

3. IBM T. J. Watson Research Center, Yorktown Heights, New York, USA

4. IBM Research UK, The Hartree Centre, Warrington, United Kingdom

5. Division of Biostatistics, University of California, San Diego, La Jolla, California, USA

6. UCSD Division of Gastroenterology, University of California, San Diego, La Jolla, California, USA

7. Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, California, USA

8. VA San Diego Health Care, La Jolla, California, USA

9. Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China

10. Scalable Knowledge Intelligence, IBM Research-Almaden, San Jose, California, USA

11. Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA

12. Department of Bioengineering, University of California, San Diego, La Jolla, California, USA

13. State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China

Abstract

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.

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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