Author: Vyas CM1,2, Hazra A3, Chang SC2, Qiu W2, Reynolds CF 3rd4, Mischoulon D1, Chang G5, Manson JE2,3,6, De Vivo I2,6, Okereke OI7,8,9
Affiliation:
1Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
2Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
3Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
4Department of Psychiatry, UPMC and University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
5Department of Psychiatry, VA Boston Healthcare System, Brockton, MA, USA and Harvard Medical School, Boston, MA, USA.
6Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
7Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. Olivia.Okereke@MGH.HARVARD.EDU.
8Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. Olivia.Okereke@MGH.HARVARD.EDU.
9Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Olivia.Okereke@MGH.HARVARD.EDU.
Conference/Journal: Transl Psychiatry.
Date published: 2019 Mar 18
Other:
Volume ID: 9 , Issue ID: 1 , Pages: 118 , Special Notes: doi: 10.1038/s41398-019-0446-1. , Word Count: 240
Relations of DNA methylation markers to other biological aging markers and to psychosocial, behavioral, and health measures remain unclear. The sample included 23 participants (n = 11 cases with psychiatric diagnoses and n = 12 controls without current or lifetime psychiatric disorder), balanced by age and sex. Genomic DNA was extracted from blood samples; the following were performed: genome-wide DNA methylation assay using Illumina 850k methylationEPIC; PCR assays for relative telomere length (RTL) and mitochondrial DNA copy number (mtCN). Exposures were: case status; depression and anxiety symptoms; psychosocial support; subjective and objective cognition. Outcomes were: DNA methylation age (DNAm age); RTL; mtCN; extrinsic and intrinsic epigenetic age acceleration (EEAA and IEAA). Stronger correlation with chronological age was observed for DNAm age (ρ = 0.86; p < 0.0001) compared to RTL (ρ = -0.53; p < 0.01); mtCN was not correlated with age. DNAm age was more strongly correlated with behavioral and health variables than RTL or mtCN; e.g., correlations with DNAm age: body mass index (ρ = 0.36; p = 0.10); smoking pack-years (ρ = 0.37; p = 0.08); physical activity (ρ = -0.56; p = 0.01); alcohol intake (ρ = 0.56; p = 0.01). DNAm age was inversely correlated with psychosocial support (ρ = -0.42; p = 0.048) and Modified Mini-Mental State score (ρ = -0.44; p = 0.01). Anxiety, psychosocial support, and objective cognition were significantly related to accelerated aging; depression and subjective cognition were not. In conclusion, DNAm age correlated more strongly with chronological age and key psychosocial, behavioral, and health variables than RTL or mtCN. Signals for associations with epigenetic aging were observed for psychosocial and neurobehavioral variables.
PMID: 30886137 DOI: 10.1038/s41398-019-0446-1