The DOI matches its Crossref record; 54 of the 55 references it cites were found in a registry or an index, and 1 are not checked yet.
Epigenetic Aging in Major Depressive Disorder
Open accessAbstract
OBJECTIVE: Major depressive disorder is associated with an increased risk of mortality and aging-related diseases. The authors examined whether major depression is associated with higher epigenetic aging in blood as measured by DNA methylation (DNAm) patterns, whether clinical characteristics of major depression have a further impact on these patterns, and whether the findings replicate in brain tissue. METHOD: DNAm age was estimated using all methylation sites in blood of 811 depressed patients and 319 control subjects with no lifetime psychiatric disorders and low depressive symptoms from the Netherlands Study of Depression and Anxiety. The residuals of the DNAm age estimates regressed on chronological age were calculated to indicate epigenetic aging. Major depression diagnosis and clinical characteristics were assessed with questionnaires and psychiatric interviews. Analyses were adjusted for sociodemographic characteristics, lifestyle, and health status. Postmortem brain samples of 74 depressed patients and 64 control subjects were used for replication. Pathway enrichment analysis was conducted using ConsensusPathDB to gain insight into the biological processes underlying epigenetic aging in blood and brain. RESULTS: Significantly higher epigenetic aging was observed in patients with major depression compared with control subjects (Cohen's d=0.18), with a significant dose effect with increasing symptom severity in the overall sample. In the depression group, epigenetic aging was positively and significantly associated with childhood trauma score. The case-control difference was replicated in an independent data set of postmortem brain samples. The top significantly enriched Gene Ontology terms included neuronal processes. CONCLUSIONS: As compared with control subjects, patients with major depression exhibited higher epigenetic aging in blood and brain tissue, suggesting that they are biologically older than their corresponding chronological age. This effect was even more profound in the presence of childhood trauma.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Increased epigenetic aging has also found to be associated with the categorical phenotype of major depression (Han et al., 2018).”
From The applied implications of epigenetics in anxiety, affective and stress-related disorders - A review and synthesis on psychosocial stress, psychotherapy and prevention (2020) · cites this paper as Han et al., 2018
In the citing paper
“For example, elevated DNA methylation of a gene important for neuronal development (BDNF) 4,24 and increased biological age estimated from a defined selection of DNA methylation loci have been observed in individuals with various psychopathologies.12,25”
From The role of epigenetics in psychological resilience (2021) · cites this paper as [12]
In the citing paper
“Depression predisposes to medical illnesses and advances biological aging indicated by shorter telomere length, accelerated brain aging and advanced epigenetic aging.”
From Mechanisms and treatment of late-life depression (2019) · cites this paper as [1]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Regularization Paths for Generalized Linear Models via Coordinate Descent
Friedman, J., Hastie, T., & Tibshirani, R. (2010) · Journal of Statistical Software · doi:10.18637/jss.v033.i01 · Cited by 19,927
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.016 · Cited by 4,270
Wittchen, H.-U. (1994) · Journal of Psychiatric Research · doi:10.1016/0022-3956(94)90036-1 · Cited by 2,348
The Inventory of Depressive Symptomatology (IDS): Psychometric properties
Rush, A. J., Gullion, C. M., Basco, M. R., Jarrett, R. B., & Trivedi, M. H. (1996) · Psychological Medicine · doi:10.1017/s0033291700035558 · Cited by 2,177
Nanni, V., Uher, R., & Danese, A. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11020335 · Cited by 1,480
Jylhävä, J., Pedersen, N. L., & Hägg, S. (2017) · EBioMedicine · doi:10.1016/j.ebiom.2017.03.046 · Cited by 1,240
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Chen, B. H., Marioni, R. E., Colicino, E., Peters, M. J., Ward-Caviness, C. K., Tsai, P.-C., Roetker, N. S., Just, A. C., Demerath, E. W., Guan, W., et al. (2016) · Aging · doi:10.18632/aging.101020 · Cited by 1,126
Teicher, M. H., & Samson, J. A. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12070957 · Cited by 1,050
Research works printed but not linked: 1
- [34]Horvath S: DNA methylation age of human tissues and cell types. [Internet]. Genome Biol 2013; 14: R115 Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4015143&tool=pmcentrez&rendertype=abstract 24138928 PMC4015143
Cited by
Sorted by citations
Marx, W., Penninx, B. W. J. H., Solmi, M., Furukawa, T. A., Firth, J., Carvalho, A. F., & Berk, M. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00454-1 · Cited by 910
Self-citationMechanisms and treatment of late-life depression
Alexopoulos, G. S. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0514-6 · Cited by 592
Fransquet, P. D., Wrigglesworth, J., Woods, R. L., Ernst, M. E., & Ryan, J. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0656-7 · Cited by 369
Han, L. K. M., Dinga, R., Hahn, T., Ching, C. R. K., Eyler, L. T., Aftanas, L. I., Aghajani, M., Aleman, A., Baune, B. T., Berger, K., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0754-0 · Cited by 351
Self-citationGao, X., Geng, T., Jiang, M., Huang, N., Zheng, Y., Belsky, D. W., & Huang, T. (2023) · Nature Communications · doi:10.1038/s41467-023-38013-7 · Cited by 306
Hillary, R. F., Stevenson, A. J., McCartney, D. L., Campbell, A., Walker, R. M., Howard, D. M., Ritchie, C. W., Horvath, S., Hayward, C., McIntosh, A. M., et al. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00905-6 · Cited by 209
Szymkowicz, S. M., Gerlach, A., Homiack, D., & Taylor, W. D. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02464-9 · Cited by 234
Ryan, J. L., Wrigglesworth, J., Loong, J., Fransquet, P., & Woods, R. L. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz099 · Cited by 178
Parade, S. H., Huffhines, L. P., Daniels, T. E., Stroud, L. R., Nugent, N. R., & Tyrka, A. R. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01207-y · Cited by 192
Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies
Žáčková, L., Jáni, M., Brázdil, M., Nikolova, Y. S., & Marečková, K. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102830 · Cited by 182
Kuzminskaite, E., Penninx, B. W. J. H., van Harmelen, A., Elzinga, B. M., Hovens, J. G. F. M., & Vinkers, C. H. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.01.054 · Cited by 194
Self-citationDNA methylation-based age clocks: From age prediction to age reversion
Noroozi, R., Ghafouri‐Fard, S., Pisarek, A., Rudnicka, J., Spólnicka, M., Branicki, W., Taheri, M. N., & Pośpiech, E. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101314 · Cited by 171
Schiele, M. A., Gottschalk, M. G., & Domschke, K. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101830 · Cited by 156
An integrative study of five biological clocks in somatic and mental health
Jansen, R., Han, L. K., Verhoeven, J. E., Aberg, K. A., van den Oord, E. C., Milaneschi, Y., & Penninx, B. W. (2021) · eLife · doi:10.7554/elife.59479 · Cited by 127
Self-citationMajor depression and the biological hallmarks of aging
Lorenzo, E. C., Kuchel, G. A., Kuo, C., Moffitt, T. E., & Diniz, B. S. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101805 · Cited by 132
“GrimAge,” an epigenetic predictor of mortality, is accelerated in major depressive disorder
Protsenko, E., Yang, R., Nier, B., Reus, V. I., Hammamieh, R., Rampersaud, R., Wu, G. W. Y., Hough, C. M., Epel, E. S., Prather, A. A., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01302-0 · Cited by 118
The role of epigenetics in psychological resilience
Smeeth, D., Beck, S., Karam, E. G., & Pluess, M. (2021) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30515-0 · Cited by 108
Novel drug developmental strategies for treatment‐resistant depression
Borbély, É., Simon, M., Fuchs, E., Wiborg, O., Czéh, B., & Helyes, Z. (2021) · British Journal of Pharmacology · doi:10.1111/bph.15753 · Cited by 116
Han, L. K. M., Verhoeven, J. E., Tyrka, A. R., Penninx, B. W. J. H., Wolkowitz, O. M., Månsson, K. N. T., Lindqvist, D., Boks, M. P., Révész, D., Mellon, S. H., et al. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.04.004 · Cited by 104
Self-citationPsychosocial stress and epigenetic aging
Palma‐Gudiel, H., Fañanás, L., Horvath, S., & Zannas, A. S. (2019) · International review of neurobiology · doi:10.1016/bs.irn.2019.10.020 · Cited by 105
Epigenetic aging is accelerated in alcohol use disorder and regulated by genetic variation in APOL2
Luo, A. C., Jung, J., Longley, M. J., Rosoff, D. B., Charlet, K., Muench, C., Lee, J., Hodgkinson, C. A., Goldman, D. A., Horvath, S., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0500-y · Cited by 98
The effect of early discrimination on accelerated aging among African Americans.
Carter, S. E., Ong, M. L., Simons, R. L., Gibbons, F. X., Lei, M., & Beach, S. R. H. (2019) · Health Psychology · doi:10.1037/hea0000788 · Cited by 98
Brain age in mood and psychotic disorders: a systematic review and meta‐analysis
Ballester, P. L., Romano, M. T., Cardoso, T. D. A., Hassel, S., Strother, S. C., Kennedy, S. H., & Frey, B. N. (2021) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13371 · Cited by 89
McCrory, C., Fiorito, G., O’Halloran, A. M., Polidoro, S., Vineis, P., & Kenny, R. A. (2021) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2021.105643 · Cited by 96
Accelerated hippocampal biological aging in bipolar disorder
Fries, G. R., Bauer, I. E., Scaini, G., Valvassori, S. S., Walss‐Bass, C., Soares, J. C., & Quevedo, J. (2019) · Bipolar Disorders · doi:10.1111/bdi.12876 · Cited by 87
Aging biomarkers and the brain
Higgins‐Chen, A., Thrush, K., & Levine, M. E. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.01.003 · Cited by 85
Contributing factors to advanced brain aging in depression and anxiety disorders
Han, L. K. M., Schnack, H. G., Brouwer, R. M., Veltman, D. J., van der Wee, N. J. A., van Tol, M., Aghajani, M., & Penninx, B. W. J. H. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01524-2 · Cited by 88
Self-citationDammering, F., Martins, J., Dittrich, K., Czamara, D., Rex‐Haffner, M., Overfeld, J., de Punder, K., Buß, C., Entringer, S., Winter, S., et al. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100394 · Cited by 81
Epigenetics as a key link between psychosocial stress and aging: concepts, evidence, mechanisms
Zannas, A. S. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.4/azannas · Cited by 72
Epigenome-wide association study of depression symptomatology in elderly monozygotic twins
Starnawska, A., Tan, Q., Soerensen, M., McGue, M. K., Mors, O. N., Børglum, A. D., Christensen, K., Nyegaard, M., & Christiansen, L. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0548-9 · Cited by 70
Besteher, B., Gaser, C., & Nenadić, I. (2019) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2019.06.001 · Cited by 68
Okazaki, S., Numata, S., Otsuka, I., Horai, T., Kinoshita, M., Sora, I., Ohmori, T., & Hishimoto, A. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0813-y · Cited by 69
Xiao, C., Beitler, J. J., Peng, G., Levine, M. E., Conneely, K. N., Zhao, H., Felger, J. C., Wommack, E. C., Chico, C. E., Jeon, S., et al. (2021) · Cancer · doi:10.1002/cncr.33641 · Cited by 60
Chan, R. F., Turecki, G., Shabalin, A. A., Guintivano, J., Zhao, M., Xie, L. Y., van Grootheest, G., Kaminsky, Z. A., Dean, B., Penninx, B. W. J. H., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.10.014 · Cited by 61
Self-citationAccelerated brain aging predicts impulsivity and symptom severity in depression
Dunlop, K., Victoria, L. W., Downar, J. H., Gunning, F. M., & Liston, C. M. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-00967-x · Cited by 56
Accelerated aging in the brain, epigenetic aging in blood, and polygenic risk for schizophrenia
Teeuw, J., Ori, A. P. S., Brouwer, R. M., de Zwarte, S. M. C., Schnack, H. G., Pol, H. E. H., & Ophoff, R. A. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.04.005 · Cited by 55
Galow, A.-M., & Peleg, S. (2022) · Cells · doi:10.3390/cells11030468 · Cited by 60
Lim, S., Nzegwu, D., & Wright, M. L. (2022) · Biological Research For Nursing · doi:10.1177/10998004211060561 · Cited by 58
De novo DNA methylation controls neuronal maturation during adult hippocampal neurogenesis
Zocher, S., Overall, R. W., Berdugo‐Vega, G., Rund, N., Karasinsky, A., Adusumilli, V. S., Steinhauer, C., Scheibenstock, S., Händler, K., Schultze, J. L., et al. (2021) · The EMBO Journal · doi:10.15252/embj.2020107100 · Cited by 54
Older molecular brain age in severe mental illness
Lin, C., Chang, L., Ma, T., Oh, H., French, B. J., Puralewski, R., Mathews, F., Fang, Y., Lewis, D. A., Kennedy, J. L., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0834-1 · Cited by 52
Kerr, B., Schwilk, D. W., Bergman, A., & Feldman, M. W. (1999) · Evolutionary ecology research · Cited by 50
Fröhlich, A. S., Gerstner, N., Gagliardi, M., Ködel, M., Yusupov, N., Matosin, N., Czamara, D., Sauer, S., Roeh, S., Murek, V., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01742-z · Cited by 54
Epigenetic Targeting of Histone Deacetylases in Diagnostics and Treatment of Depression
Park, H., Kim, J., Ahn, S. H., & Ryu, H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105398 · Cited by 54
Early adversities accelerate epigenetic aging into adulthood: a 10‐year, within‐subject analysis
Copeland, W., Shanahan, L., McGinnis, E. W., Åberg, K. A., & van den Oord, E. J. C. G. (2022) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13575 · Cited by 48
Accelerated aging in serious mental disorders
Bersani, F. S., Mellon, S. H., Reus, V. I., & Wolkowitz, O. M. (2019) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000525 · Cited by 47
Major depression and enhanced molecular senescence abnormalities in young and middle-aged adults
Diniz, B. S., Reynolds, C. F., Sibille, E. L., Bot, M., & Penninx, B. W. J. H. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0541-3 · Cited by 49
Self-citationUnderstanding the health effects of caregiving stress: New directions in molecular aging
Christian, L. M., Wilson, S. J., Madison, A. A., Prakash, R. S., Burd, C. E., Rosko, A. E., & Kiecolt‐Glaser, J. K. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102096 · Cited by 50
Cruz‐Almeida, Y., Sinha, P., Rani, A., Huo, Z., Fillingim, R. B., & Foster, T. C. (2019) · Molecular Pain · doi:10.1177/1744806919871819 · Cited by 46
Eye Movement Abnormalities in Major Depressive Disorder
Takahashi, J., Hirano, Y., Miura, K., Morita, K., Fujimoto, M., Yamamori, H., Yasuda, Y., Kudo, N., Shishido, E., Okazaki, K., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.673443 · Cited by 45
Association between depression and epigenetic age acceleration: A co‐twin control study
Liu, C., Wang, Z., Hui, Q., Goldberg, J. H., Smith, N. L., Shah, A. J., Murrah, N. V., Shallenberger, L. H., Diggers, E., Bremner, J. D., et al. (2022) · Depression and Anxiety · doi:10.1002/da.23279 · Cited by 42
Thrush, K., Higgins‐Chen, A., Liu, Z., & Levine, M. E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.13.499978 · Cited by 46
Epigenetic aging and perceived psychological stress in old age
Vetter, V. M., Drewelies, J., Sommerer, Y., Kalies, C. H., Regitz‐Zagrosek, V., Bertram, L., Gerstorf, D., & Demuth, I. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02181-9 · Cited by 40
The goddess who spins the thread of life: Klotho, psychiatric stress, and accelerated aging
Wolf, E. J., Morrison, F. G., Sullivan, D. R., Logue, M. W., Guetta, R. E., Stone, A., Schichman, S. A., McGlinchey, R. E., Milberg, W., & Miller, M. W. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.03.007 · Cited by 42
Meijer, M., Klein, M., Hannon, E. J., van der Meer, D., Hartman, C. A., Oosterlaan, J., Heslenfeld, D. J., Hoekstra, P. J., Buitelaar, J. K., Mill, J. S., et al. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00016 · Cited by 46
Dimensions of childhood adversity differentially affect biological aging in major depression
Rampersaud, R., Protsenko, E., Yang, R., Reus, V. I., Hammamieh, R., Wu, G. W. Y., Epel, E. S., Jett, M., Gautam, A., Mellon, S. H., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02198-0 · Cited by 39
Xu, K., Montalvo‐Ortiz, J. L., Zhang, X., Southwick, S. M., Krystal, J. H., Pietrzak, R. H., & Gelernter, J. E. (2019) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14168 · Cited by 43
Associations between alcohol use and accelerated biological ageing
Bøstrand, S. M. K., Vaher, K., de Nooij, L., Harris, M. A., Cole, J. H., Cox, S. R., Marioni, R. E., McCartney, D. L., Walker, R. M., McIntosh, A. M., et al. (2021) · Addiction Biology · doi:10.1111/adb.13100 · Cited by 45
van Dongen, J., Hagenbeek, F. A., Suderman, M. J., Roetman, P. J., Sugden, K., Chiocchetti, A. G., Ismail, K., Mulder, R. H., Hafferty, J. D., Adams, M. J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00987-x · Cited by 40
Self-citationMBD-seq - realities of a misunderstood method for high-quality methylome-wide association studies
Åberg, K. A., Chan, R. F., & van den Oord, E. J. C. G. (2019) · Epigenetics · doi:10.1080/15592294.2019.1695339 · Cited by 37
Self-citationHan, S., Chen, Y., Zheng, R., Li, S., Jiang, Y. B., Wang, C., Fang, K., Yang, Z., Liu, L., Zhou, B., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25460 · Cited by 39
Anti-Aging Drugs and the Related Signal Pathways
Du, N., Ruigang, Y., Jiang, S., Niu, Z., Zhou, W., Liu, C., Gao, L., & Sun, Q. (2024) · Biomedicines · doi:10.3390/biomedicines12010127 · Cited by 40
Vyas, C. M., Hazra, A., Chang, S., Qiu, W., Reynolds, C. F., Mischoulon, D., Chang, G., Manson, J. E., Vivo, I. D., & Okereke, O. I. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0446-1 · Cited by 34
Epigenetic Mechanisms in the Neurodevelopmental Theory of Depression
Talarowska, M. E. (2020) · Depression Research and Treatment · doi:10.1155/2020/6357873 · Cited by 37
Li, H., Yan, W., Wang, Q., Liu, L., Lin, X., Zhu, X., Su, S., Sun, W., Sui, M., Bao, Y., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.841461 · Cited by 34
Cole, J., McColl, A., Shaw, R., Lynall, M.-E., Cowen, P. J., de Boer, P., Drevets, W. C., Harrison, N. A., Pariante, C. M., Pointon, L. J., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01506-4 · Cited by 34
Mareckova, K., Marecek, R., Andryskova, L., Brazdil, M., & Nikolova, Y. S. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa014 · Cited by 32
Lin, Y., Liu, S., Sun, Y., Chen, C., Yang, S., Pei, G., Lin, M., Yu, J., Liu, X., Wang, H., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102286 · Cited by 33
Epigenetic changes during ageing and their underlying mechanisms
Braga, D. L., Mousovich‐Neto, F., Tonon-da-Silva, G., Salgueiro, W. G., & Mori, M. A. (2020) · Biogerontology · doi:10.1007/s10522-020-09874-y · Cited by 33
Stressful life events and accelerated biological aging over time in youths
Sumner, J. A., Gao, X., Gambazza, S., Dye, C. K., Colich, N. L., Baccarelli, A., Uddin, M., & McLaughlin, K. A. (2023) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2023.106058 · Cited by 31
Beydoun, M. A., Hossain, S. A., Chitrala, K. N., Tajuddin, S. M., Beydoun, H. A., Evans, M. K., & Zonderman, A. B. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.06.032 · Cited by 31
Telomere length and epigenetic age acceleration in adolescents with anxiety disorders
de Baumont, A. C., Hoffmann, M. S., Bortoluzzi, A., Fries, G. R., Lavandoski, P., Grün, L. K., Guimarães, L. S. P., Guma, F. T. C. R., Salum, G. A., Barbé‐Tuana, F. M., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-87045-w · Cited by 31
Wandering along the epigenetic timeline
Topart, C., Werner, E., & Arimondo, P. B. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00893-7 · Cited by 34
Epigenetic Mechanisms Activated by Childhood Adversity
Krause, B. J., Artigas, R., Sciolla, A., & Hamilton, J. (2020) · Epigenomics · doi:10.2217/epi-2020-0042 · Cited by 29
Transdiagnostic evaluation of epigenetic age acceleration and burden of psychiatric disorders
Yusupov, N., Dieckmann, L., Erhart, M., Sauer, S., Rex‐Haffner, M., Kopf‐Beck, J., Brückl, T. M., Czamara, D., & Binder, E. B. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01579-3 · Cited by 31
DNA Methylation Signature of Aging: Potential Impact on the Pathogenesis of Parkinson’s Disease
Yazar, V., Dawson, V. L., Dawson, T. M., & Kang, S.-U. (2023) · Journal of Parkinson s Disease · doi:10.3233/jpd-223517 · Cited by 29
Sterrantino, A. F., Fiorito, G., d’Errico, A., Robinson, O., Virtanen, M., Ala‐Mursula, L., Järvelin, M., Ronkainen, J., & Vineis, P. (2022) · Aging · doi:10.18632/aging.203872 · Cited by 28
Beydoun, M. A., Beydoun, H. A., Hooten, N. N., Maldonado, A. I., Weiss, J., Evans, M. K., & Zonderman, A. B. (2022) · Aging · doi:10.18632/aging.204150 · Cited by 27
Tanifuji, T., Okazaki, S., Otsuka, I., Mouri, K., Horai, T., Shindo, R., Shirai, T., & Hishimoto, A. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115103 · Cited by 28
Methylation age acceleration does not predict mortality in schizophrenia
Kowalec, K., Hannon, E. J., Mansell, G., Burrage, J., Ori, A. P. S., Ophoff, R. A., Mill, J. S., & Sullivan, P. F. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0489-3 · Cited by 26
Lifetime marijuana use and epigenetic age acceleration: A 17-year prospective examination
Allen, J. P., Danoff, J. S., Costello, M. A., Hunt, G. L., Hellwig, A. F., Krol, K. M., Gregory, S. G., Giamberardino, S. N., Sugden, K., & Connelly, J. J. (2022) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2022.109363 · Cited by 27
Spindola, L. M., Santoro, M. L., Pan, P. M., Ota, V. K., Xavier, G., Carvalho, C. M., Talarico, F., Sleiman, P., March, M., Pellegrino, R., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0740-z · Cited by 25
Lima, C. N. D. C., Kovács, E. H. C., Mirza, S. A., Favero-Campbell, A. D., Díaz, A. P., Quevedo, J., Argue, B. M., Richards, J. G., Williams, A. J., Wemmie, J. A., et al. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01557-9 · Cited by 26
Shindo, R., Tanifuji, T., Okazaki, S., Otsuka, I., Shirai, T., Mouri, K., Horai, T., & Hishimoto, A. (2023) · npj Aging · doi:10.1038/s41514-023-00117-1 · Cited by 25
Moral case for legal age change
Räsänen, J. (2019) · Journal of Medical Ethics · doi:10.1136/medethics-2018-105294 · Cited by 25
Okazaki, S., Otsuka, I., Horai, T., Hirata, T., Takahashi, M., Ueno, Y., Boku, S., Sora, I., & Hishimoto, A. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109805 · Cited by 28
Klotho, PTSD, and advanced epigenetic age in cortical tissue
Wolf, E. J., Chen, C.-D., Zhao, X., Zhou, Z., Morrison, F. G., Daskalakis, N. P., Stone, A., Schichman, S. A., Grenier, J. G., Fein‐Schaffer, D., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-00884-5 · Cited by 24
Navigating Black Aging: The Biological Consequences of Stress and Depression
Forrester, S. N., Whitfield, K., Kiefe, C., & Thorpe, R. (2021) · The journals of gerontology. Series B, Psychological sciences and social sciences · doi:10.1093/geronb/gbab224 · Cited by 14
Guo, L., Ni, Z., Wei, G., Cheng, W., Huang, X., & Yue, W. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02236-x · Cited by 23
Internalizing symptoms associate with the pace of epigenetic aging in childhood
Tollenaar, M. S., Beijers, R., Garg, E., Nguyen, T. T. T., Lin, D. T. S., MacIsaac, J. L., Shalev, I., Kobor, M. S., Meaney, M. J., O’Donnell, K. J., et al. (2021) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108021 · Cited by 28
Brain areas involved with obsessive-compulsive disorder present different DNA methylation modulation
de Oliveira, K. C., Camilo, C., Gastaldi, V. D., Feltrin, A. S., Lisbôa, B. C. G., de Paula, V. D. J. R., Moretto, A. C., Lafer, B., Hoexter, M. Q., Miguel, E. C., et al. (2021) · BMC Genomic Data · doi:10.1186/s12863-021-00993-0 · Cited by 25
Okazaki, S., Kimura, R., Otsuka, I., Funabiki, Y., Murai, T., & Hishimoto, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0263478 · Cited by 23
Profiling placental DNA methylation associated with maternal SSRI treatment during pregnancy
Inkster, A. M., Konwar, C., Peñaherrera, M. S., Brain, U. M., Khan, A., Price, E. M., Schuetz, J. M., Portales-Casamar, É., Burt, A., Marsit, C. J., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-26071-8 · Cited by 24
Joshi, D., van Lenthe, F. J., Huisman, M. A., Sund, E. R., Krokstad, S., Avendaño, M., & Raina, P. S. (2023) · The Journals of Gerontology Series A · doi:10.1093/gerona/glad118 · Cited by 24
An update in toxicology of ageing
Račková, L., Mach, M., & Brnoliaková, Z. (2021) · Environmental Toxicology and Pharmacology · doi:10.1016/j.etap.2021.103611 · Cited by 22
Mechanisms and treatment of late-life depression
Alexopoulos, G. S. (2021) · Focus · doi:10.1176/appi.focus.19304 · Cited by 22
Protsenko, E., Wolkowitz, O. M., & Yaffe, K. S. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02360-2 · Cited by 26
Epigenetic Clock Analysis in Children With Fetal Alcohol Spectrum Disorder
Okazaki, S., Otsuka, I., Shinko, Y., Horai, T., Hirata, T., Yamaki, N., Sora, I., & Hishimoto, A. (2020) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14532 · Cited by 22
Wolf, E. J., Zhao, X., Hawn, S. E., Morrison, F. G., Zhou, Z., Fein‐Schaffer, D., Huber, B. R., Miller, M. W., & Logue, M. W. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100371 · Cited by 23
Ford, B. N., Teague, T. K., Bayouth, M., Yolken, R. H., Bodurka, J., Irwin, M. R., Paulus, M. P., & Savitz, J. B. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.03.013 · Cited by 21
Dupras, C., Beck, S., Rothstein, M. A., Berner, A., Saulnier, K. M., Pinkesz, M., Prince, A. E. R., Liosi, S., Song, L., & Joly, Y. (2019) · Current Zoology · doi:10.1093/eep/dvz018 · Cited by 21
Metadata
- Authors
- Han, L. K. M., Aghajani, M., Clark, S. L., Chan, R. F., Hattab, M. W., Shabalin, A. A., Zhao, M., Kumar, G., Xie, L. Y., Jansen, R., Milaneschi, Y., Dean, B., Aberg, K. A., van den Oord, E. J. C. G., & Penninx, B. W. J. H.
- Affiliations
- Virginia Commonwealth University (US)
- From the Department of Psychiatry, VU University Medical Center, Amsterdam Neuroscience, GGZ inGeest, the Amsterdam Public Health Research Institute, Amsterdam; the Center for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond; the Molecular Psychiatry Laboratory, Florey Department of Neuroscience and Mental Health, Melbourne, Australia; and the Centre for Mental Health, Faculty of Health, Arts, and Design, Swinburne University, Hawthorne, Australia.
- ORCID
- Venue
- American Journal of Psychiatry
- Published
- 2018-08
- Volume
- 175
- Issue
- 8
- Pages
- 774-782
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- PMC
- PMC6094380
- OpenAlex
- W2800301228
- Semantic Scholar
- 355446f30616b5d634e9a6e0adea4204848aa234
- Cited by
- 260
- References
- 54
- Citations by year
- 2026: 28 · 2025: 30 · 2024: 39 · 2023: 33 · 2022: 36 · 2021: 37 · 2020: 22 · 2019: 29 · 2018: 4
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Stanley Medical Research Institute
- Victorian Brain Bank
- Medical Research Council
- National Health and Medical Research Council
- National Institute on Alcohol Abuse and Alcoholism (R01AA026057, K01AA021266)
- National Institute of Mental Health (R01MH099110)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- major depressive disorder, epigenetic aging, DNA methylation, childhood trauma, symptom severity, postmortem brain, blood DNA methylation, neural processes, age-related diseases
- MeSH terms
- Adult Survivors of Child Adverse Events, Adult, Aging, Brain, Major Depressive Disorder, Female, Health Status, Humans, Life Style, Longitudinal Studies, Male, Netherlands, Case-Control Studies, DNA Methylation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
