Longitudinal changes in epigenetic age in youth with perinatally-acquired HIV and youth who are perinatally HIV-exposed uninfected.

OBJECTIVES To quantify the rate of change in epigenetic age compared to chronological age over time in youth with perinatally-acquired HIV (YPHIV) and youth who are perinatally HIV-exposed uninfected (YPHEU). DESIGN Longitudinal study of 32 YPHIV and 8 YPHEU with blood samples collected at two time points ≥3 years apart. METHODS DNA methylation was measured using the Illumina MethylationEPIC array and epigenetic age was calculated using the Horvath method. Linear mixed effects models were fit to estimate the average change in epigenetic age for a one year change in chronological age separately for YPHIV and YPHEU. RESULTS Median age was 10.9 and 16.8 years at time 1 and 2, respectively. Groups were balanced by sex (51% male) and race (67% Black). Epigenetic age increased by 1.23 years (95%CI: 1.03,1.43) for YPHIV and 0.95 years (95%CI: 0.74,1.17) for YPHEU per year increase in chronological age. Among YPHIV, in a model with chronological age, a higher area under the curve (AUC) VL was associated with an increase in epigenetic age over time [2.19 years per log10 copies/mL, (95%CI: 0.65,3.74)], whereas a higher time-averaged AUC CD4+ T-cell count was associated with a decrease in epigenetic age over time [-0.34 years per 100 cells/mm3, (95%CI: -0.63,-0.06)] in YPHIV. CONCLUSIONS We observed an increase in the rate of epigenetic aging over time in YPHIV, but not in YPHEU. In YPHIV, higher VL and lower CD4+ T-cell count were associated with accelerated epigenetic aging, emphasizing the importance of early and sustained suppressive treatment for YPHIV, who will receive lifelong ART.

[1]  Jana M. Vincent,et al.  Stretchable self-tuning MRI receive coils based on liquid metal technology (LiquiTune) , 2021, Scientific Reports.

[2]  S. Elahi,et al.  Profound immune consequences for young adults infected with HIV perinatally or during childhood: a cautionary tale regarding adherence to antiretroviral therapy. , 2019, AIDS.

[3]  C. Relton,et al.  Adversity exposure during sensitive periods predicts accelerated epigenetic aging in children , 2019, Psychoneuroendocrinology.

[4]  Jessica L. Montoya,et al.  Current Challenges and Solutions in Research and Clinical Care of Older Persons Living with HIV: Findings Presented at the 9th International Workshop on HIV and Aging. , 2019, AIDS research and human retroviruses.

[5]  V. Appay,et al.  HIV mediated immune aging in young adults infected perinatally or during childhood. , 2019, AIDS.

[6]  D. Belsky,et al.  COMPARABILITY OF BIOLOGICAL AGING MEASURES IN THE NATIONAL HEALTH AND NUTRITION EXAMINATION STUDY, 1999-2002 , 2019, Psychoneuroendocrinology.

[7]  S. Beach,et al.  The effect of early discrimination on accelerated aging among African Americans. , 2019, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[8]  L. Myer,et al.  Bias in the estimation of cumulative viremia in cohort studies of HIV-infected individuals. , 2019, Annals of epidemiology.

[9]  M. Yin,et al.  Biomarkers of Aging in HIV-Infected Children on Suppressive Antiretroviral Therapy , 2018, Journal of acquired immune deficiency syndromes.

[10]  Dan J Stein,et al.  Perinatally acquired HIV infection accelerates epigenetic aging in South African adolescents , 2018, AIDS.

[11]  S. Rajagopalan,et al.  Global Burden of Atherosclerotic Cardiovascular Disease in People Living With HIV: Systematic Review and Meta-Analysis , 2018, Circulation.

[12]  Nancy L. Pedersen,et al.  Biological Age Predictors , 2017, EBioMedicine.

[13]  Yan V. Sun,et al.  Identification of HIV infection-related DNA methylation sites and advanced epigenetic aging in HIV-positive, treatment-naive U.S. veterans , 2017, AIDS.

[14]  M. Brennan-Ing,et al.  HIV and Aging , 2016 .

[15]  Jean-Philippe Fortin,et al.  Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi , 2016, bioRxiv.

[16]  H. Brenner,et al.  Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort , 2016, Clinical Epigenetics.

[17]  Trey Ideker,et al.  Methylome-wide Analysis of Chronic HIV Infection Reveals Five-Year Increase in Biological Age and Epigenetic Targeting of HLA. , 2016, Molecular cell.

[18]  Bernd Holleczek,et al.  Frailty is associated with the epigenetic clock but not with telomere length in a German cohort , 2016, Clinical Epigenetics.

[19]  S. Horvath,et al.  Accelerated epigenetic aging in brain is associated with pre-mortem HIV-associated neurocognitive disorders , 2015, Journal of NeuroVirology.

[20]  S. Horvath,et al.  HIV-1 Infection Accelerates Age According to the Epigenetic Clock , 2015, The Journal of infectious diseases.

[21]  S. Horvath,et al.  DNA methylation age of blood predicts all-cause mortality in later life , 2015, Genome Biology.

[22]  Steve Horvath,et al.  The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936 , 2015, International journal of epidemiology.

[23]  Martin J. Aryee,et al.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays , 2014, Bioinform..

[24]  S. Horvath DNA methylation age of human tissues and cell types , 2013, Genome Biology.

[25]  Francesco Marabita,et al.  A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data , 2012, Bioinform..

[26]  Mardge H. Cohen,et al.  HIV and Aging: State of Knowledge and Areas of Critical Need for Research. A Report to the NIH Office of AIDS Research by the HIV and Aging Working Group , 2012, Journal of acquired immune deficiency syndromes.

[27]  Devin C. Koestler,et al.  DNA methylation arrays as surrogate measures of cell mixture distribution , 2012, BMC Bioinformatics.

[28]  John D. Storey,et al.  Bioinformatics Applications Note Gene Expression the Sva Package for Removing Batch Effects and Other Unwanted Variation in High-throughput Experiments , 2022 .

[29]  L. Mofenson,et al.  Antiretroviral Treatment of US Children With Perinatally Acquired HIV Infection: Temporal Changes in Therapy Between 1991 and 2009 and Predictors of Immunologic and Virologic Outcomes , 2011, Journal of acquired immune deficiency syndromes.

[30]  Xiao Zhang,et al.  Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis , 2010, BMC Bioinformatics.

[31]  T. Spector,et al.  Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains. , 2010, Genome research.

[32]  S. Cole,et al.  Copy-years viremia as a measure of cumulative human immunodeficiency virus viral burden. , 2010, American journal of epidemiology.

[33]  B. Christensen,et al.  Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island Context , 2009, PLoS genetics.

[34]  Joel Schwartz,et al.  Decline in genomic DNA methylation through aging in a cohort of elderly subjects , 2009, Mechanisms of Ageing and Development.

[35]  S. Horvath,et al.  Psychosocial stress and epigenetic aging. , 2020, International review of neurobiology.

[36]  J. Vaupel,et al.  University of Southern Denmark DNA methylation age is associated with mortality in a longitudinal Danish twin study , 2015 .

[37]  Cheng Li,et al.  Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.