Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

A DNA methylation clock associated with age-related illnesses and mortality is accelerated in men with combat PTSD

A Correction to this article was published on 10 July 2020

This article has been updated

Abstract

DNA methylation patterns at specific cytosine-phosphate-guanine (CpG) sites predictably change with age and can be used to derive “epigenetic age”, an indicator of biological age, as opposed to merely chronological age. A relatively new estimator, called “DNAm GrimAge”, is notable for its superior predictive ability in older populations regarding numerous age-related metrics like time-to-death, time-to-coronary heart disease, and time-to-cancer. PTSD is associated with premature mortality and frequently has comorbid physical illnesses suggestive of accelerated biological aging. This is the first study to assess DNAm GrimAge in PTSD patients. We investigated the acceleration of GrimAge relative to chronological age, denoted “AgeAccelGrim” in combat trauma-exposed male veterans with and without PTSD using cross-sectional and longitudinal data from two independent well-characterized veteran cohorts. In both cohorts, AgeAccelGrim was significantly higher in the PTSD group compared to the control group (N = 162, 1.26 vs −0.57, p = 0.001 and N = 53, 0.93 vs −1.60 Years, p = 0.008), suggesting accelerated biological aging in both cohorts with PTSD. In 3-year follow-up study of individuals initially diagnosed with PTSD (N = 26), changes in PTSD symptom severity were correlated with AgeAccelGrim changes (r = 0.39, p = 0.049). In addition, the loss of CD28 cell surface markers on CD8 + T cells, an indicator of T-cell senescence/exhaustion that is associated with biological aging, was positively correlated with AgeAccelGrim, suggesting an immunological contribution to the accelerated biological aging. Overall, our findings delineate cellular correlates of biological aging in combat-related PTSD, which may help explain the increased medical morbidity and mortality seen in this disease.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Cross-sectional and longitudinal association of AgeAccelGrim with PTSD diagnosis and symptom severity.
Fig. 2: Association of AgeAccelGrim and CD8 + CD28− T cells.
Fig. 3: Correlations of AgeAccelGrim with other epigenetic age clocks.

Similar content being viewed by others

Data availability

All datasets for selected cohorts are available with permission through the SysBioCube, at https://sysbiocube-abcc.ncifcrf.gov.

Change history

References

  1. McLeay SC, Harvey W, Romaniuk NM, Crawford D, Colquhoun DM, Young R, et al. Physical comorbidities of post-traumatic stress disorder in Australian Vietnam War veterans. Med J Aust. 2017;206:251–7.

    Article  Google Scholar 

  2. Wolf EJ, Schnurr PP. Posttraumatic stress disorder-related cardiovascular disease and accelerated cellular aging. Psychiatr Ann. 2016;46:527–32.

    Article  Google Scholar 

  3. Cohen BE, Marmar C, Ren L, Bertenthal D, Seal KH. Association of cardiovascular risk factors with mental health diagnoses in Iraq and Afghanistan war veterans using VA health care. JAMA. 2009;302:489–92.

    Article  CAS  Google Scholar 

  4. Schlenger WE, Corry NH, Williams CS, Kulka RA, Mulvaney-Day N, DeBakey S, et al. A prospective study of mortality and trauma-related risk factors among a nationally representative sample of vietnam veterans. Am J Epidemiol. 2015;182:980–90.

    PubMed  Google Scholar 

  5. Lohr JB, Palmer BW, Eidt CA, Aailaboyina S, Mausbach BT, Wolkowitz OM, et al. Is post-traumatic stress disorder associated with premature senescence? A review of the literature. Am J Geriatr Psychiatry. 2015;23:709–25.

    Article  Google Scholar 

  6. Wolf EJ, Morrison FG. Traumatic stress and accelerated cellular aging: from epigenetics to cardiometabolic disease. Curr psychiatry Rep. 2017;19:75.

    Article  Google Scholar 

  7. Darrow SM, Verhoeven JE, Révész D, Lindqvist D, Penninx BWJH, Delucchi KL, et al. The Association between psychiatric disorders and telomere length: a meta-analysis involving 14,827 persons. Psychosom Med. 2016;78:776–87.

    Article  Google Scholar 

  8. Aiello AE, Dowd JB, Jayabalasingham B, Feinstein L, Uddin M, Simanek AM, et al. PTSD is associated with an increase in aged T cell phenotypes in adults living in Detroit. Psychoneuroendocrinology. 2016;67:133–41.

    Article  CAS  Google Scholar 

  9. Jylhävä J, Pedersen NL, Hägg S. Biological age predictors. EBioMed. 2017;21:29–36.

    Article  Google Scholar 

  10. Weng N-P, Akbar AN, Goronzy J. CD28(-) T cells: their role in the age-associated decline of immune function. Trends Immunol. 2009;30:306–12.

    Article  CAS  Google Scholar 

  11. Wolf EJ, Maniates H, Nugent N, Maihofer AX, Armstrong D, Ratanatharathorn A, et al. Traumatic stress and accelerated DNA methylation age: a meta-analysis. Psychoneuroendocrinology. 2018;92:123–34.

    Article  CAS  Google Scholar 

  12. Hannum G, Guinney J, Zhao L, Zhang L, Hughes G, Sadda S, et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol Cell. 2013;49:359–67.

    Article  CAS  Google Scholar 

  13. Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013;14:R115–R115.

    Article  Google Scholar 

  14. Levine ME, Lu AT, Quach A, Chen BH, Assimes TL, Bandinelli S, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging. 2018;10:573–91.

    Article  Google Scholar 

  15. Lu AT, Quach A, Wilson JG, Reiner AP, Aviv A, Raj K, et al. DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging. 2019;11:303–27.

    Article  CAS  Google Scholar 

  16. Horvath S, Oshima J, Martin GM, Lu AT, Quach A, Cohen H, et al. Epigenetic clock for skin and blood cells applied to Hutchinson Gilford Progeria Syndrome and ex vivo studies. Aging. 2018;10:1758–75.

    Article  CAS  Google Scholar 

  17. Marioni RE, Shah S, McRae AF, Chen BH, Colicino E, Harris SE, et al. DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol. 2015;16:25.

    Article  Google Scholar 

  18. Dean KR, Hammamieh R, Mellon SH, Abu-Amara D, Flory JD, Guffanti G, et al. Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder. Mol Psychiatry. 2019;1–13.

  19. Flory JD, Yehuda R. Comorbidity between post-traumatic stress disorder and major depressive disorder: alternative explanations and treatment considerations. Dialogues Clin Neurosci. 2015;17:141–50.

    Article  Google Scholar 

  20. Houseman EA, Accomando WP, Koestler DC, Christensen BC, Marsit CJ, Nelson HH, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinforma. 2012;13:86.

    Article  Google Scholar 

  21. Chen X, Liu Q, Xiang AP. CD8+CD28- T cells: not only age-related cells but a subset of regulatory T cells. Cell Mol Immunol. 2018;15:734–6.

    Article  CAS  Google Scholar 

  22. Verhoeven JE, Yang R, Wolkowitz OM, Bersani FS, Lindqvist D, Mellon SH, et al. Epigenetic age in male combat-exposed war veterans: associations with posttraumatic stress disorder status. Mol Neuropsychiatry. 2018;4:90–99.

    Article  CAS  Google Scholar 

  23. Kievit R, Frankenhuis WE, Waldorp L, Borsboom D. Simpson’s paradox in psychological science: a practical guide. Front Psychol. 2013;4:513.

    Article  Google Scholar 

  24. Wolf EJ, Bovin MJ, Green JD, Mitchell KS, Stoop TB, Barretto KM, et al. Longitudinal associations between post-traumatic stress disorder and metabolic syndrome severity. Psychological Med. 2016;46:2215–26.

    Article  CAS  Google Scholar 

  25. Ahmadi N, Hajsadeghi F, Mirshkarlo HB, Budoff M, Yehuda R, Ebrahimi R. Post-traumatic stress disorder, coronary atherosclerosis, and mortality. Am J Cardiol. 2011;108:29–33.

    Article  Google Scholar 

  26. Yaffe K, Vittinghoff E, Lindquist K, Barnes D, Covinsky KE, Neylan T, et al. Posttraumatic stress disorder and risk of dementia among US veterans. Arch Gen Psychiatry. 2010;67:608–13.

    Article  Google Scholar 

  27. Wolf EJ, Logue MW, Stoop TB, Schichman SA, Stone A, Sadeh N, et al. Accelerated DNA methylation age: associations with PTSD and mortality. Psychosomatic Med. 2017;80:42–8.

    Article  Google Scholar 

  28. Chou JP, Effros RB. T cell replicative senescence in human aging. Curr Pharm Des. 2013;19:1680–98.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Cesari M, Pahor M, Incalzi RA. REVIEW: plasminogen activator inhibitor-1 (PAI-1): a key factor linking fibrinolysis and age-related subclinical and clinical conditions. Cardiovascular Therapeutics. 2010;28:e72–e91.

    Article  CAS  Google Scholar 

  30. Ferguson TW, Komenda P, Tangri N. Cystatin C as a biomarker for estimating glomerular filtration rate. Curr Opin Nephrol Hypertension. 2015;24:295–300.

    Article  CAS  Google Scholar 

  31. Levin A, Lan JH. Cystatin C and cardiovascular disease. J Am Coll Cardiol. 2016;68:946.

    Article  Google Scholar 

  32. Ashutosh, Chao C, Borgmann K, Brew K, Ghorpade A. Tissue inhibitor of metalloproteinases-1 protects human neurons from staurosporine and HIV-1-induced apoptosis: mechanisms and relevance to HIV-1-associated dementia. Cell Death Dis. 2012; 3:e332.

  33. Song G, Xu S, Zhang H, Wang Y, Xiao C, Jiang T, et al. TIMP1 is a prognostic marker for the progression and metastasis of colon cancer through FAK-PI3K/AKT and MAPK pathway. J Exp Clin Cancer Res. 2016;35:148.

    Article  Google Scholar 

  34. Rivera S, Tremblay E, Timsit S, Canals O, Ben-Ari Y, Khrestchatisky M. Tissue inhibitor of metalloproteinases-1 (TIMP-1) is differentially induced in neurons and astrocytes after seizures: evidence for developmental, immediate early gene, and lesion response. J Neurosci. 1997;17:4223.

    Article  CAS  Google Scholar 

  35. Mills JA, Beach SRH, Dogan M, Simons RL, Gibbons FX, Long JD, et al. A direct comparison of the relationship of epigenetic aging and epigenetic substance consumption markers to mortality in the framingham heart study. Genes (Basel). 2019;10:51.

    Article  Google Scholar 

  36. Stejskalova L, Dvorak Z, Pavek P. Endogenous and exogenous ligands of aryl hydrocarbon receptor: current state of art. Curr Drug Metab. 2011;12:198–212.

    Article  CAS  Google Scholar 

  37. Hammamieh R, Chakraborty N, Gautam A, Muhie S, Yang R, Donohue D, et al. Whole-genome DNA methylation status associated with clinical PTSD measures of OIF/OEF veterans. Transl Psychiatry. 2017;7:e1169.

    Article  CAS  Google Scholar 

  38. Triche TJ Jr, Weisenberger DJ, Van Den Berg D, Laird PW, Siegmund KD. Low-level processing of Illumina Infinium DNA methylation beadarrays. Nucleic Acids Res. 2013;41:e90–e90.

    Article  CAS  Google Scholar 

  39. Blom G. Statistical estimates and transformed beta-variables. New York, Stockholm: J. Wiley & sons; Almqvist & Wiksell; 1958.

    Google Scholar 

  40. Quach A, Levine ME, Tanaka T, Lu AT, Chen BH, Ferrucci L, et al. Epigenetic clock analysis of diet, exercise, education, and lifestyle factors. Aging. 2017;9:419–46.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by funding from the U.S. Army Research Office, through award numbers W911NF-13-1-0376, W911NF-17-2-0086, W911NF-18-2-0056, by the Army Research Laboratory under grant number W911NF-17-1-0069, and from the U.S. Department of Defense under W81XWH-10-1-0021, W81XWH-09-2-0044, and W81XWH-14-1-0043. Additional members of the PTSD Systems Biology Consortium are acknowledged in Supplementary information Appendix.

Author information

Authors and Affiliations

Authors

Consortia

Contributions

RY, GWYW, RH, OMW, and SHM designed research; all authors performed research and proofed or contributed to the manuscript; RY and GWYW analyzed data; and RY, GWYW, SHM, and OMW wrote the paper.

Corresponding author

Correspondence to Ruoting Yang.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Members of the PTSD Systems Biology Consortium are listed in Supplementary information.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, R., Wu, G.W.Y., Verhoeven, J.E. et al. A DNA methylation clock associated with age-related illnesses and mortality is accelerated in men with combat PTSD. Mol Psychiatry 26, 4999–5009 (2021). https://doi.org/10.1038/s41380-020-0755-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41380-020-0755-z

This article is cited by

Search

Quick links