Display options
Cite
Teruya T, Goga H, Yanagida M. Aging markers in human urine: A comprehensive, non-targeted LC-MS study. FASEB Bioadv. 2020;2(12):720-733doi: 10.1096/fba.2020-00047.
Teruya, T., Goga, H., & Yanagida, M. (2020). Aging markers in human urine: A comprehensive, non-targeted LC-MS study. FASEB bioAdvances, 2(12), 720-733. https://doi.org/10.1096/fba.2020-00047
Teruya, Takayuki, et al. "Aging markers in human urine: A comprehensive, non-targeted LC-MS study." FASEB bioAdvances vol. 2,12 (2020): 720-733. doi: https://doi.org/10.1096/fba.2020-00047
Teruya T, Goga H, Yanagida M. Aging markers in human urine: A comprehensive, non-targeted LC-MS study. FASEB Bioadv. 2020 Oct 21;2(12):720-733. doi: 10.1096/fba.2020-00047. eCollection 2020 Dec. PMID: 33336159; PMCID: PMC7734427.
Copy Download .nbib Format: NLM
Share it on

FASEB Bioadv. 2020 Oct 21;2(12):720-733. doi: 10.1096/fba.2020-00047. eCollection 2020 Dec.

Aging markers in human urine: A comprehensive, non-targeted LC-MS study.

FASEB bioAdvances

Takayuki Teruya, Haruhisa Goga, Mitsuhiro Yanagida

Affiliations

  1. G0 Cell Unit Okinawa Institute of Science and Technology Graduate University Okinawa Japan.
  2. Forensic Laboratory, Department of Criminal Investigation Okinawa Prefectural Police HQ Okinawa Japan.

PMID: 33336159 PMCID: PMC7734427 DOI: 10.1096/fba.2020-00047

Abstract

Metabolites in human biofluids document the physiological status of individuals. We conducted comprehensive, non-targeted, non-invasive metabolomic analysis of urine from 27 healthy human subjects, comprising 13 young adults (30 ± 3 years) and 14 seniors (76 ± 4 years). Quantitative analysis of 99 metabolites revealed 55 that displayed significant differences in abundance between the two groups. Forty-four did not show a statistically significant relationship with age. These include 13 standard amino acids, 5 methylated, 4 acetylated, and 9 other amino acids, 6 nucleosides, nucleobases, and derivatives, 4 sugar derivatives, 5 sugar phosphates, 4 carnitines, 2 hydroxybutyrates, 1 choline, and 1 ethanolamine derivative, and glutathione disulfide. Abundances of 53 compounds decreased, while 2 (glutathione disulfide, myo-inositol) increased in elderly people. The great majority of age-linked markers were highly correlated with creatinine. In contrast, 44 other urinary metabolites, including urate, carnitine, hippurate, and betaine, were not age-linked, neither declining nor increasing in elderly subjects. As metabolite profiles of urine and blood are quite different, age-related information in urine offers additional valuable insights into aging mechanisms of endocrine system. Correlation analysis of urinary metabolites revealed distinctly inter-related groups of compounds.

© 2020 The Authors. FASEB BioAdvances published by the Federation of American Societies for Experimental Biology.

Keywords: LC‐MS; creatinine; glutathione; human endocrine aging; non‐targeted metabolomics; pseudouridine; urinary age markers

Conflict of interest statement

The authors declare that they have no competing interests.

References

  1. Aging Cell. 2012 Dec;11(6):960-7 - PubMed
  2. Lancet. 1971 May 29;1(7709):1133-4 - PubMed
  3. IUBMB Life. 2000 May;49(5):341-51 - PubMed
  4. Int J Epidemiol. 2013 Aug;42(4):1111-9 - PubMed
  5. Kidney Int. 2006 Jul;70(1):199-203 - PubMed
  6. J Proteome Res. 2015 Aug 7;14(8):3322-35 - PubMed
  7. J Proteome Res. 2016 Feb 5;15(2):400-10 - PubMed
  8. Metabolites. 2019 Mar 05;9(3): - PubMed
  9. Mech Ageing Dev. 1988 Dec;46(1-3):1-18 - PubMed
  10. Mutat Res. 1989 Sep;214(1):41-6 - PubMed
  11. Pharmacogenomics. 2008 Apr;9(4):383-97 - PubMed
  12. J Am Soc Nephrol. 2009 Feb;20(2):436-43 - PubMed
  13. Cold Spring Harb Protoc. 2016 Dec 1;2016(12): - PubMed
  14. BMC Bioinformatics. 2010 Jul 23;11:395 - PubMed
  15. Anal Chem. 2012 May 15;84(10):4396-403 - PubMed
  16. Cold Spring Harb Protoc. 2016 Dec 1;2016(12): - PubMed
  17. Clin Transl Sci. 2008 Dec;1(3):200-8 - PubMed
  18. Proc Natl Acad Sci U S A. 2016 Apr 19;113(16):4252-9 - PubMed
  19. Anal Chem. 2007 Sep 15;79(18):6995-7004 - PubMed
  20. Am J Clin Nutr. 2002 Aug;76(2):473-81 - PubMed
  21. Mol Biosyst. 2010 Jan;6(1):182-98 - PubMed
  22. Am J Clin Nutr. 1983 Mar;37(3):478-94 - PubMed
  23. Physiol Rev. 2016 Oct;96(4):1261-96 - PubMed
  24. Mol Biosyst. 2014 Oct;10(10):2538-51 - PubMed
  25. Cold Spring Harb Perspect Med. 2015 Sep 18;5(10): - PubMed
  26. Am J Kidney Dis. 2003 Oct;42(4):617-22 - PubMed
  27. J Cell Sci. 2018 Aug 21;131(16): - PubMed
  28. Ann N Y Acad Sci. 2002 Apr;959:93-107 - PubMed
  29. Mol Cell Proteomics. 2006 Oct;5(10):1760-71 - PubMed
  30. Sci Rep. 2019 Jan 29;9(1):854 - PubMed
  31. Kidney Int. 2002 Jul;62(1):237-44 - PubMed
  32. Proc Natl Acad Sci U S A. 2005 Apr 12;102(15):5618-23 - PubMed
  33. Mass Spectrom Rev. 2012 Jan-Feb;31(1):70-95 - PubMed
  34. Aging Cell. 2013 Jun;12(3):426-34 - PubMed
  35. J Gerontol A Biol Sci Med Sci. 2016 May;71(5):578-85 - PubMed
  36. PLoS One. 2017 Aug 16;12(8):e0183228 - PubMed
  37. Nature. 1993 Jan 28;361(6410):315-25 - PubMed
  38. Lancet. 2005 Apr 2-8;365(9466):1231-8 - PubMed
  39. Nat Commun. 2014 Aug 21;5:4708 - PubMed
  40. Clin J Am Soc Nephrol. 2008 Mar;3(2):348-54 - PubMed
  41. Sci Adv. 2018 Aug 15;4(8):eaat5685 - PubMed
  42. J Gerontol. 1976 Mar;31(2):155-63 - PubMed
  43. Cold Spring Harb Protoc. 2016 Dec 1;2016(12): - PubMed
  44. Proc Natl Acad Sci U S A. 2020 Apr 28;117(17):9483-9489 - PubMed

Publication Types