Retro-age: A unique epigenetic biomarker of aging captured by DNA methylation states of retroelements.

DNA methylation aging biomarker endogenous retrovirus epigenetic clock epigenetics retroelement

Journal

Aging cell
ISSN: 1474-9726
Titre abrégé: Aging Cell
Pays: England
ID NLM: 101130839

Informations de publication

Date de publication:
02 Aug 2024
Historique:
revised: 11 07 2024
received: 15 02 2024
accepted: 16 07 2024
medline: 2 8 2024
pubmed: 2 8 2024
entrez: 2 8 2024
Statut: aheadofprint

Résumé

Reactivation of retroelements in the human genome has been linked to aging. However, whether the epigenetic state of specific retroelements can predict chronological age remains unknown. We provide evidence that locus-specific retroelement DNA methylation can be used to create retroelement-based epigenetic clocks that accurately measure chronological age in the immune system, across human tissues, and pan-mammalian species. We also developed a highly accurate retroelement epigenetic clock compatible with EPICv.2.0 data that was constructed from CpGs that did not overlap with existing first- and second-generation epigenetic clocks, suggesting a unique signal for epigenetic clocks not previously captured. We found retroelement-based epigenetic clocks were reversed during transient epigenetic reprogramming, accelerated in people living with HIV-1, and responsive to antiretroviral therapy. Our findings highlight the utility of retroelement-based biomarkers of aging and support a renewed emphasis on the role of retroelements in geroscience.

Identifiants

pubmed: 39092674
doi: 10.1111/acel.14288
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14288

Subventions

Organisme : NIH HHS
ID : R01AG082056
Pays : United States
Organisme : NIH HHS
ID : R01HL160392
Pays : United States
Organisme : NIH HHS
ID : R01MH134391
Pays : United States
Organisme : NIH HHS
ID : UM1AI164559
Pays : United States

Informations de copyright

© 2024 The Author(s). Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.

Références

Arneson, A., Haghani, A., Thompson, M. J., Pellegrini, M., Kwon, S. B., Vu, H., Maciejewski, E., Yao, M., Li, C. Z., Lu, A. T., Morselli, M., Rubbi, L., Barnes, B., Hansen, K. D., Zhou, W., Breeze, C. E., Ernst, J., & Horvath, S. (2022). A mammalian methylation array for profiling methylation levels at conserved sequences. Nature Communications, 13, 783.
Aryee, M. J., Jaffe, A. E., Corrada‐Bravo, H., Ladd‐Acosta, C., Feinberg, A. P., Hansen, K. D., & Irizarry, R. A. (2014). Minfi: A flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics, 30, 1363–1369.
Beck, C. R., Garcia‐Perez, J. L., Badge, R. M., & Moran, J. V. (2011). LINE‐1 elements in structural variation and disease. Annual Review of Genomics and Human Genetics, 12, 187–215.
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., Ideker, T., Issa, J.‐P. J., Kelsey, K. T., Marioni, R. E., Reik, W., Relton, C. L., Schalkwyk, L. C., Teschendorff, A. E., Wagner, W., … Rakyan, V. K. (2019). DNA methylation aging clocks: Challenges and recommendations. Genome Biology, 20, 249.
Belsky, D. W., Caspi, A., Corcoran, D. L., Sugden, K., Poulton, R., Arseneault, L., Baccarelli, A., Chamarti, K., Gao, X., Hannon, E., & Harrington, H. L. (2022). DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife, 11, e73420. https://doi.org/10.7554/eLife.73420
Bendall, M. L., de Mulder, M., Iñiguez, L. P., Lecanda‐Sánchez, A., Pérez‐Losada, M., Ostrowski, M. A., Jones, R. B., Mulder, L. C. F., Reyes‐Terán, G., Crandall, K. A., Ormsby, C. E., & Nixon, D. F. (2019). Telescope: Characterization of the retrotranscriptome by accurate estimation of transposable element expression. PLoS Computational Biology, 15, e1006453.
Bocklandt, S., Lin, W., Sehl, M. E., Sánchez, F. J., Sinsheimer, J. S., Horvath, S., & Vilain, E. (2011). Epigenetic predictor of age. PLoS One, 6, e14821.
Bruce, J. W., Bracken, M., Evans, E., Sherer, N., & Ahlquist, P. (2021). ZBTB2 represses HIV‐1 transcription and is regulated by HIV‐1 Vpr and cellular DNA damage responses. PLoS Pathogens, 17, e1009364.
Buckberry, S., Liu, X., Poppe, D., Tan, J. P., Sun, G., Chen, J., Nguyen, T. V., de Mendoza, A., Pflueger, J., Frazer, T., Vargas‐Landín, D. B., Paynter, J. M., Smits, N., Liu, N., Ouyang, J. F., Rossello, F. J., Chy, H. S., Rackham, O. J. L., Laslett, A. L., … Lister, R. (2023). Transient naive reprogramming corrects hiPS cells functionally and epigenetically. Nature, 620, 863–872.
Bulteau, R., & Francesconi, M. (2022). Real age prediction from the transcriptome with RAPToR. Nature Methods, 19, 969–975.
Buttler, C. A., Ramirez, D., Dowell, R. D., & Chuong, E. B. (2023). An intronic LINE‐1 regulates IFNAR1 expression in human immune cells. Mobile DNA, 14, 20.
Chen, Q., Dwaraka, V. B., Carreras‐Gallo, N., Mendez, K., Chen, Y., Begum, S., Kachroo, P., Prince, N., Went, H., Mendez, T., Lin, A., Turner, L., Moqri, M., Chu, S. H., Kelly, R. S., Weiss, S. T., Rattray, N. J. W., Gladyshev, V. N., Karlson, E., … Lasky‐Su, J. A. (2023). OMICmAge: An integrative multi‐omics approach to quantify biological age with electronic medical records. bioRxiv, 10(16), 562114. https://doi.org/10.1101/2023.10.16.562114v2
Cole, J. H., Underwood, J., Caan, M. W. A., De Francesco, D., van Zoest, R. A., Leech, R., Wit, F. W. N. M., Portegies, P., Geurtsen, G. J., Schmand, B. A., Schim van der Loeff, M. F., Franceschi, C., Sabin, C. A., Majoie, C. B. L. M., Winston, A., Reiss, P., Sharp, D. J., & COBRA collaboration. (2017). Increased brain‐predicted aging in treated HIV disease. Neurology, 88, 1349–1357.
De Cecco, M., Ito, T., Petrashen, A. P., Elias, A. E., Skvir, N. J., Criscione, S. W., Caligiana, A., Brocculi, G., Adney, E. M., Boeke, J. D., Le, O., Beauséjour, C., Ambati, J., Ambati, K., Simon, M., Seluanov, A., Gorbunova, V., Slagboom, P. E., Helfand, S. L., … Sedivy, J. M. (2019). L1 drives IFN in senescent cells and promotes age‐associated inflammation. Nature, 566, 73–78.
de Lima Camillo, L. P., Lapierre, L. R., & Singh, R. (2022). A pan‐tissue DNA‐methylation epigenetic clock based on deep learning. NPJ Aging, 8, 1–15.
Deeks, S. G., Tracy, R., & Douek, D. C. (2013). Systemic effects of inflammation on health during chronic HIV infection. Immunity, 39, 633–645.
Déléris, A., Berger, F., & Duharcourt, S. (2021). Role of Polycomb in the control of transposable elements. Trends in Genetics, 37, 882–889.
Della Valle, F., Reddy, P., Yamamoto, M., Liu, P., Saera‐Vila, A., Bensaddek, D., Zhang, H., Prieto Martinez, J., Abassi, L., Celii, M., Ocampo, A., Nuñez Delicado, E., Mangiavacchi, A., Aiese Cigliano, R., Rodriguez Esteban, C., Horvath, S., Izpisua Belmonte, J. C., & Orlando, V. (2022). LINE‐1 RNA causes heterochromatin erosion and is a target for amelioration of senescent phenotypes in progeroid syndromes. Science Translational Medicine, 14, eabl6057.
Dhillon, P., Mulholland, K. A., Hu, H., Park, J., Sheng, X., Abedini, A., Liu, H., Vassalotti, A., Wu, J., & Susztak, K. (2023). Increased levels of endogenous retroviruses trigger fibroinflammation and play a role in kidney disease development. Nature Communications, 14, 559.
Dopkins, N., & Nixon, D. F. (2023). Activation of human endogenous retroviruses and its physiological consequences. Nature Reviews. Molecular Cell Biology, 25, 212–222. https://doi.org/10.1038/s41580‐023‐00674‐z
ENCODE Project Consortium. (2012). An integrated encyclopedia of DNA elements in the human genome. Nature, 489, 57–74.
Esteban‐Cantos, A., Rodríguez‐Centeno, J., Barruz, P., Alejos, B., Saiz‐Medrano, G., Nevado, J., Martin, A., Gayá, F., De Miguel, R., Bernardino, J. I., Montejano, R., Mena‐Garay, B., Cadiñanos, J., Florence, E., Mulcahy, F., Banhegyi, D., Antinori, A., Pozniak, A., Wallet, C., … NEAT001/ANRS143 Study Group. (2021). Epigenetic age acceleration changes 2 years after antiretroviral therapy initiation in adults with HIV: A substudy of the NEAT001/ANRS143 randomised trial. The Lancet HIV, 8, e197–e205.
Esteban‐Cantos, A., Rodríguez‐Centeno, J., Silla, J. C., Barruz, P., Sánchez‐Cabo, F., Saiz‐Medrano, G., Nevado, J., Mena‐Garay, B., Jiménez‐González, M., de Miguel, R., Bernardino, J. I., Montejano, R., Cadiñanos, J., Marcelo, C., Gutiérrez‐García, L., Martínez‐Martín, P., Wallet, C., Raffi, F., Rodés, B., … NEAT001/ANRS143 study group. (2023). Effect of HIV infection and antiretroviral therapy initiation on genome‐wide DNA methylation patterns. eBioMedicine, 88, 104434.
Fueyo, R., Judd, J., Feschotte, C., & Wysocka, J. (2022). Roles of transposable elements in the regulation of mammalian transcription. Nature Reviews. Molecular Cell Biology, 23, 481–497.
Garcia‐Perez, J. L., Widmann, T. J., & Adams, I. R. (2016). The impact of transposable elements on mammalian development. Development, 143, 4101–4114.
Gill, D., Parry, A., Santos, F., Okkenhaug, H., Todd, C. D., Hernando‐Herraez, I., Stubbs, T. M., Milagre, I., & Reik, W. (2022). Multi‐omic rejuvenation of human cells by maturation phase transient reprogramming. eLife, 11, e71624. https://doi.org/10.7554/eLife.71624
Goulet, J. L., Fultz, S. L., Rimland, D., Butt, A., Gibert, C., Rodriguez‐Barradas, M., Bryant, K., & Justice, A. C. (2007). Aging and infectious diseases: Do patterns of comorbidity vary by HIV status, age, and HIV severity? Clinical Infectious Diseases, 45, 1593–1601.
Gross, A. M., Jaeger, P. A., Kreisberg, J. F., Licon, K., Jepsen, K. L., Khosroheidari, M., Morsey, B. M., Swindells, S., Shen, H., Ng, C. T., Flagg, K., Chen, D., Zhang, K., Fox, H. S., & Ideker, T. (2016). Methylome‐wide analysis of chronic HIV infection reveals five‐year increase in biological age and epigenetic targeting of HLA. Molecular Cell, 62, 157–168.
Guaraldi, G., Zona, S., Alexopoulos, N., Orlando, G., Carli, F., Ligabue, G., Fiocchi, F., Lattanzi, A., Rossi, R., Modena, M. G., Esposito, R., Palella, F., & Raggi, P. (2009). Coronary aging in HIV‐infected patients. Clinical Infectious Diseases, 49, 1756–1762.
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.‐B., Gao, Y., Deconde, R., Chen, M., Rajapakse, I., Friend, S., Ideker, T., & Zhang, K. (2013). Genome‐wide methylation profiles reveal quantitative views of human aging rates. Molecular Cell, 49, 359–367.
Higgins‐Chen, A. T., Thrush, K. L., & Levine, M. E. (2021). Aging biomarkers and the brain. Seminars in Cell & Developmental Biology, 116, 180–193.
Higgins‐Chen, A. T., Thrush, K. L., Wang, Y., Minteer, C. J., Kuo, P.‐L., Wang, M., Niimi, P., Sturm, G., Lin, J., Moore, A. Z., Bandinelli, S., Vinkers, C. H., Vermetten, E., Rutten, B. P. F., Geuze, E., Okhuijsen‐Pfeifer, C., van der Horst, M. Z., Schreiter, S., Gutwinski, S., … Levine, M. E. (2022). A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking. Nature Aging, 2, 644–661.
High, K. P., Brennan‐Ing, M., Clifford, D. B., Cohen, M. H., Currier, J., Deeks, S. G., Deren, S., Effros, R. B., Gebo, K., Goronzy, J. J., Justice, A. C., Landay, A., Levin, J., Miotti, P. G., Munk, R. J., Nass, H., Rinaldo, C. R., Jr., Shlipak, M. G., Tracy, R., … OAR Working Group on HIV and Aging. (2012). 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. Journal of Acquired Immune Deficiency Syndromes, 60, S1–S18.
Horvath, S. (2013). DNA methylation age of human tissues and cell types. Genome Biology, 14, R115.
Horvath, S., & Levine, A. J. (2015). HIV‐1 infection accelerates age according to the epigenetic clock. The Journal of Infectious Diseases, 212, 1563–1573.
Horvath, S., Oshima, J., Martin, G. M., Lu, A. T., Quach, A., Cohen, H., Felton, S., Matsuyama, M., Lowe, D., Kabacik, S., Wilson, J. G., Reiner, A. P., Maierhofer, A., Flunkert, J., Aviv, A., Hou, L., Baccarelli, A. A., Li, Y., Stewart, J. D., … Raj, K. (2018). Epigenetic clock for skin and blood cells applied to Hutchinson Gilford progeria syndrome and ex vivo studies. Aging, 10, 1758–1775.
Horvath, S., & Raj, K. (2018). DNA methylation‐based biomarkers and the epigenetic clock theory of ageing. Nature Reviews. Genetics, 19, 371–384.
Horvath, S., Stein, D. J., Phillips, N., Heany, S. J., Kobor, M. S., Lin, D. T. S., Myer, L., Zar, H. J., Levine, A. J., & Hoare, J. (2018). Perinatally acquired HIV infection accelerates epigenetic aging in South African adolescents. AIDS, 32, 1465–1474.
Hu, H., Khodadadi‐Jamayran, A., Dolgalev, I., Cho, H., Badri, S., Chiriboga, L. A., Zeck, B., De Rodas, L., Gregorio, M., Dowling, C. M., Labbe, K., Deng, J., Chen, T., Zhang, H., Zappile, P., Chen, Z., Ueberheide, B., Karatza, A., Han, H., … Wong, K.‐K. (2021). Targeting the Atf7ip‐Setdb1 complex augments antitumor immunity by boosting tumor immunogenicity. Cancer Immunology Research, 9, 1298–1315.
Jones, M. J., Goodman, S. J., & Kobor, M. S. (2015). DNA methylation and healthy human aging. Aging Cell, 14, 924–932.
Justice, A. C. (2010). HIV and aging: Time for a new paradigm. Current HIV/AIDS Reports, 7, 69–76.
Kabacik, S., Lowe, D., Fransen, L., Leonard, M., Ang, S.‐L., Whiteman, C., Corsi, S., Cohen, H., Felton, S., Bali, R., Horvath, S., & Raj, K. (2022). The relationship between epigenetic age and the hallmarks of aging in human cells. Nature Aging, 2, 484–493.
Karemaker, I. D., & Vermeulen, M. (2018). ZBTB2 reads unmethylated CpG Island promoters and regulates embryonic stem cell differentiation. EMBO Reports, 19, e44993. https://doi.org/10.15252/embr.201744993
Kaur, D., Lee, S. M., Goldberg, D., Spix, N. J., Hinoue, T., Li, H.‐T., Dwaraka, V. B., Smith, R., Shen, H., Liang, G., Renke, N., Laird, P. W., & Zhou, W. (2023). Comprehensive evaluation of the Infinium human MethylationEPIC v2 BeadChip. Epigenetics Communications, 3, 1–15.
Kim, E. B., Fang, X., Fushan, A. A., Huang, Z., Lobanov, A. V., Han, L., Marino, S. M., Sun, X., Turanov, A. A., Yang, P., Yim, S. H., Zhao, X., Kasaikina, M. V., Stoletzki, N., Peng, C., Polak, P., Xiong, Z., Kiezun, A., Zhu, Y., … Gladyshev, V. N. (2011). Genome sequencing reveals insights into physiology and longevity of the naked mole rat. Nature, 479, 223–227.
Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., Doyle, M., FitzHugh, W., Funke, R., Gage, D., Harris, K., Heaford, A., Howland, J., Kann, L., Lehoczky, J., LeVine, R., MceWan, P., … International Human Genome Sequencing Consortium. (2001). Initial sequencing and analysis of the human genome. Nature, 409, 860–921.
Leung, J. M., Fishbane, N., Jones, M., Morin, A., Xu, S., Liu, J. C., MacIsaac, J., Milloy, M.‐J., Hayashi, K., Montaner, J., Horvath, S., Kobor, M., Sin, D. D., Harrigan, P. R., & Man, S. F. P. (2017). Longitudinal study of surrogate aging measures during human immunodeficiency virus seroconversion. Aging, 9, 687–705.
Levine, M. E., Higgins‐Chen, A., Thrush, K., Minteer, C., & Niimi, P. (2022). Clock work: Deconstructing the epigenetic clock signals in aging, disease, and reprogramming. bioRxiv, 2(13), 480245. https://doi.org/10.1101/2022.02.13.480245v2
Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., Whitsel, E. A., Wilson, J. G., Reiner, A. P., Aviv, A., Lohman, K., Liu, Y., Ferrucci, L., & Horvath, S. (2018). An epigenetic biomarker of aging for lifespan and healthspan. Aging, 10, 573–591.
Liu, X., Liu, Z., Wu, Z., Ren, J., Fan, Y., Sun, L., Cao, G., Niu, Y., Zhang, B., Ji, Q., Jiang, X., Wang, C., Wang, Q., Ji, Z., Li, L., Esteban, C. R., Yan, K., Li, W., Cai, Y., … Liu, G.‐H. (2023). Resurrection of endogenous retroviruses during aging reinforces senescence. Cell, 186, 287–304.e26.
Liu, Z., Leung, D., Thrush, K., Zhao, W., Ratliff, S., Tanaka, T., Schmitz, L. L., Smith, J. A., Ferrucci, L., & Levine, M. E. (2020). Underlying features of epigenetic aging clocks in vivo and in vitro. Aging Cell, 19, e13229.
Lu, A. T., Fei, Z., Haghani, A., Robeck, T. R., Zoller, J. A., Li, C. Z., Lowe, R., Yan, Q., Zhang, J., Vu, H., Ablaeva, J., Acosta‐Rodriguez, V. A., Adams, D. M., Almunia, J., Aloysius, A., Ardehali, R., Arneson, A., Baker, C. S., Banks, G., … Horvath, S. (2023). Universal DNA methylation age across mammalian tissues. Nature Aging, 3, 1144–1166.
Lu, A. T., Quach, A., Wilson, J. G., Reiner, A. P., Aviv, A., Raj, K., Hou, L., Baccarelli, A. A., Li, Y., Stewart, J. D., Whitsel, E. A., Assimes, T. L., Ferrucci, L., & Horvath, S. (2019). DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging, 11, 303–327.
Lu, A. T., Seeboth, A., Tsai, P.‐C., Sun, D., Quach, A., Reiner, A. P., Kooperberg, C., Ferrucci, L., Hou, L., Baccarelli, A. A., Li, Y., Harris, S. E., Corley, J., Taylor, A., Deary, I. J., Stewart, J. D., Whitsel, E. A., Assimes, T. L., Chen, W., … Horvath, S. (2019). DNA methylation‐based estimator of telomere length. Aging, 11, 5895–5923.
Marasca, F., Sinha, S., Vadalà, R., Polimeni, B., Ranzani, V., Paraboschi, E. M., Burattin, F. V., Ghilotti, M., Crosti, M., Negri, M. L., Campagnoli, S., Notarbartolo, S., Sartore‐Bianchi, A., Siena, S., Prati, D., Montini, G., Viale, G., Torre, O., Harari, S., … Bodega, B. (2022). LINE1 are spliced in non‐canonical transcript variants to regulate T cell quiescence and exhaustion. Nature Genetics, 54, 180–193.
Moqri, M., Herzog, C., Poganik, J. R., Biomarkers of Aging Consortium, Justice, J., Belsky, D. W., Higgins‐Chen, A., Moskalev, A., Fuellen, G., Cohen, A. A., Bautmans, I., Widschwendter, M., Ding, J., Fleming, A., Mannick, J., Han, J.‐D. J., Zhavoronkov, A., Barzilai, N., Kaeberlein, M., … Gladyshev, V. N. (2023). Biomarkers of aging for the identification and evaluation of longevity interventions. Cell, 186, 3758–3775.
Moqri, M., Herzog, C., Poganik, J. R., Ying, K., Justice, J. N., Belsky, D. W., Higgins‐Chen, A. T., Chen, B. H., Cohen, A. A., Fuellen, G., Hägg, S., Marioni, R. E., Widschwendter, M., Fortney, K., Fedichev, P. O., Zhavoronkov, A., Barzilai, N., Lasky‐Su, J., Kiel, D. P., … Ferrucci, L. (2024). Validation of biomarkers of aging. Nature Medicine, 30, 360–372.
Morandini, F., Rechsteiner, C., Perez, K., Praz, V., Lopez Garcia, G., Hinte, L. C., von Meyenn, F., & Ocampo, A. (2024). ATAC‐clock: An aging clock based on chromatin accessibility. Geroscience, 46, 1789–1806.
Motohashi, H., Katsuoka, F., Miyoshi, C., Uchimura, Y., Saitoh, H., Francastel, C., Engel, J. D., & Yamamoto, M. (2006). MafG sumoylation is required for active transcriptional repression. Molecular and Cellular Biology, 26, 4652–4663.
Noguera‐Castells, A., García‐Prieto, C. A., Álvarez‐Errico, D., & Esteller, M. (2023). Validation of the new EPIC DNA methylation microarray (900K EPIC v2) for high‐throughput profiling of the human DNA methylome. Epigenetics, 18, 2185742.
Nurk, S., Koren, S., Rhie, A., Rautiainen, M., Bzikadze, A. V., Mikheenko, A., Vollger, M. R., Altemose, N., Uralsky, L., Gershman, A., Aganezov, S., Hoyt, S. J., Diekhans, M., Logsdon, G. A., Alonge, M., Antonarakis, S. E., Borchers, M., Bouffard, G. G., Brooks, S. Y., … Phillippy, A. M. (2022). The complete sequence of a human genome. Science, 376, 44–53.
Oblak, L., van der Zaag, J., Higgins‐Chen, A. T., Levine, M. E., & Boks, M. P. (2021). A systematic review of biological, social and environmental factors associated with epigenetic clock acceleration. Ageing Research Reviews, 69, 101348.
Ohnuki, M., Tanabe, K., Sutou, K., Teramoto, I., Sawamura, Y., Narita, M., Nakamura, M., Tokunaga, Y., Nakamura, M., Watanabe, A., Yamanaka, S., & Takahashi, K. (2014). Dynamic regulation of human endogenous retroviruses mediates factor‐induced reprogramming and differentiation potential. Proceedings of the National Academy of Sciences of the United States of America, 111, 12426–12431.
Oliva, M., Demanelis, K., Lu, Y., Chernoff, M., Jasmine, F., Ahsan, H., Kibriya, M. G., Chen, L. S., & Pierce, B. L. (2023). DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits. Nature Genetics, 55, 112–122.
Otsuka, K., Sakashita, A., Maezawa, S., & Schultz, R. M. (2023). KRAB‐Zinc‐Finger Proteins Regulate Endogenous Retroviruses to Sculpt Germline Transcriptomes and Genome Evolution. bioRxiv, 6, 546405. https://doi.org/10.1101/2023.06.24.546405v1.full
Pidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Djik, S., Muhlhausler, B., Stirzaker, C., & Clark, S. J. (2016). Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole‐genome DNA methylation profiling. Genome Biology, 17, 208.
Reynolds, L. M., Taylor, J. R., Ding, J., Lohman, K., Johnson, C., Siscovick, D., Burke, G., Post, W., Shea, S., Jacobs, D. R., Jr., Stunnenberg, H., Kritchevsky, S. B., Hoeschele, I., McCall, C. E., Herrington, D., Tracy, R. P., & Liu, Y. (2014). Age‐related variations in the methylome associated with gene expression in human monocytes and T cells. Nature Communications, 5, 5366.
Rigal, J., Anduaga, A. M., Bitman, E., Rivellese, E., Kadener, S., & Marr, M. T. (2022). Artificially stimulating retrotransposon activity increases mortality and accelerates a subset of aging phenotypes in Drosophila. eLife, 11, e80169. https://doi.org/10.7554/eLife.80169
Roy, R., Kuo, P. L., Candia, J., Sarantopoulou, D., Ubaida‐Mohien, C., Hernandez, D., Kaileh, M., Arepalli, S., Singh, A., Bektas, A., & Kim, J. (2023). Epigenetic signature of human immune aging in the GESTALT study. eLife, 12, e86136. https://doi.org/10.7554/eLife.86136
Sarkar, T. J., Quarta, M., Mukherjee, S., Colville, A., Paine, P., Doan, L., Tran, C. M., Chu, C. R., Horvath, S., Qi, L. S., Bhutani, N., Rando, T. A., & Sebastiano, V. (2020). Transient non‐integrative expression of nuclear reprogramming factors promotes multifaceted amelioration of aging in human cells. Nature Communications, 11, 1545.
Shiau, S., Cantos, A., Ramon, C. V., Shen, Y., Shah, J., Jang, G., Baccarelli, A. A., Arpadi, S. M., & Yin, M. T. (2021). Epigenetic age in Young African American adults with perinatally acquired HIV. Journal of Acquired Immune Deficiency Syndromes, 87, 1102–1109.
Smith, M. E., Wahl, D., Cavalier, A. N., McWilliams, G. T., Rossman, M. J., Giordano, G. R., Bryan, A. D., Seals, D. R., & LaRocca, T. J. (2024). Repetitive element transcript accumulation is associated with inflammaging in humans. GeroScience, 1–17. https://doi.org/10.1007/s11357‐024‐01126‐y
Teschendorff, A. E. (2020). A comparison of epigenetic mitotic‐like clocks for cancer risk prediction. Genome Medicine, 12, 56.
Tyagi, R., Li, W., Parades, D., Bianchet, M. A., & Nath, A. (2017). Inhibition of human endogenous retrovirus‐K by antiretroviral drugs. Retrovirology, 14, 21.
Vasanthakumar, A., Davis, J. W., Idler, K., Waring, J. F., Asque, E., Riley‐Gillis, B., Grosskurth, S., Srivastava, G., Kim, S., Nho, K., Nudelman, K. N. H., Faber, K., Sun, Y., Foroud, T. M., Estrada, K., Apostolova, L. G., Li, Q. S., Saykin, A. J., & Alzheimer's Disease Neuroimaging Initiative (ADNI). (2020). Harnessing peripheral DNA methylation differences in the Alzheimer's disease neuroimaging initiative (ADNI) to reveal novel biomarkers of disease. Clinical Epigenetics, 12, 84.
Xu, Z., Niu, L., Li, L., & Taylor, J. A. (2016). ENmix: A novel background correction method for Illumina HumanMethylation450 BeadChip. Nucleic Acids Research, 44, e20.
Ying, K., Liu, H., Tarkhov, A. E., Sadler, M. C., Lu, A. T., Moqri, M., Horvath, S., Kutalik, Z., Shen, X., & Gladyshev, V. N. (2024). Causality‐enriched epigenetic age uncouples damage and adaptation. Nature Aging, 4, 231–246.
Zhang, H., Li, J., Yu, Y., Ren, J., Liu, Q., Bao, Z., Sun, S., Liu, X., Ma, S., Liu, Z., Yan, K., Wu, Z., Fan, Y., Sun, X., Zhang, Y., Ji, Q., Cheng, F., Wei, P.‐H., Ma, X., … Liu, G.‐H. (2023). Nuclear lamina erosion‐induced resurrection of endogenous retroviruses underlies neuronal aging. Cell Reports, 42, 112593.
Zheng, S. C., Breeze, C. E., Beck, S., & Teschendorff, A. E. (2018). Identification of differentially methylated cell types in epigenome‐wide association studies. Nature Methods, 15, 1059–1066.
Zhou, W., Laird, P. W., & Shen, H. (2017). Comprehensive characterization, annotation and innovative use of Infinium DNA methylation BeadChip probes. Nucleic Acids Research, 45, e22.
Zhou, W., Triche, T. J., Jr., Laird, P. W., & Shen, H. (2018). SeSAMe: Reducing artifactual detection of DNA methylation by Infinium BeadChips in genomic deletions. Nucleic Acids Research, 46, e123.

Auteurs

Lishomwa C Ndhlovu (LC)

Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, New York City, USA.

Matthew L Bendall (ML)

Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, New York City, USA.

Varun Dwaraka (V)

TruDiagnostic, Lexington, Kentucky, USA.

Alina P S Pang (APS)

Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, New York City, USA.

Nicholas Dopkins (N)

Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, New York City, USA.

Natalia Carreras (N)

TruDiagnostic, Lexington, Kentucky, USA.

Ryan Smith (R)

TruDiagnostic, Lexington, Kentucky, USA.

Douglas F Nixon (DF)

Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, New York City, USA.

Michael J Corley (MJ)

Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, New York City, USA.

Classifications MeSH