Accelerating research on biological aging and mental health: Current challenges and future directions.
Open accessAbstract
Aging is associated with complex biological changes that can be accelerated, slowed, or even temporarily reversed by biological and non-biological factors. This article focuses on the link between biological aging, psychological stressors, and mental illness. Rather than comprehensively reviewing this rapidly expanding field, we highlight challenges in this area of research and propose potential strategies to accelerate progress in this field. This effort requires the interaction of scientists across disciplines - including biology, psychiatry, psychology, and epidemiology; and across levels of analysis that emphasize different outcome measures - functional capacity, physiological, cellular, and molecular. Dialogues across disciplines and levels of analysis naturally lead to new opportunities for discovery but also to stimulating challenges. Some important challenges consist of 1) establishing the best objective and predictive biological age indicators or combinations of indicators, 2) identifying the basis for inter-individual differences in the rate of biological aging, and 3) examining to what extent interventions can delay, halt or temporarily reverse aging trajectories. Discovering how psychological states influence biological aging, and vice versa, has the potential to create novel and exciting opportunities for healthcare and possibly yield insights into the fundamental mechanisms that drive human aging.
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Biological measures such as telomere length are related to aging and differences in such biological markers are coupled with differences in the prevalence of psychiatric, cognitive, and somatic conditions.
“biological measures, such as telomere length are related to aging and differences in such biological marker has been coupled with differences in the prevalence of psychiatric, cognitive, and somatic conditions”
From Evaluation of a Novel Psychological Intervention Tailored for Patients With Early Cognitive Impairment (PIPCI): Study Protocol of a Randomized Controlled Trial (2020) · cites this paper as Han et al., 2019
The Introduction identifies telomere length as a biological age indicator, and its section on psychiatric disorders reports associations between shorter telomeres and several diagnoses. The Biological age indicators section reports only modest associations between aging measures and cognitive decline or physical functioning; it does not establish the claimed differences in prevalence of cognitive and somatic conditions. Page numbers are not available in our copy. (LLM, conf=0.82)
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Lin, J., Epel, E., Cheon, J., Kroenke, C., Sinclair, E., Bigos, M., Wolkowitz, O., Mellon, S., & Blackburn, E. (2010) · Journal of Immunological Methods · doi:10.1016/j.jim.2009.09.012 · Cited by 426 · cited 2× · see citing works
“, 2012), telomerase activity and TL (Boeck et al., 2018b, 2018d; Lin et al., 2010), and mitochondrial respiratory capacity (Chacko et al.”
Belsky, D. W., Moffitt, T. E., Cohen, A. A., Corcoran, D. L., Levine, M. E., Prinz, J. A., Schaefer, J. D., Sugden, K., Williams, B. S., Poulton, R., et al. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx346 · Cited by 419 · cited 1× · see citing works
“37) in independent studies (Belsky et al., 2018; Chen et al., 2016), and both clocks showed modest correlations (0.”
Understanding how we age: insights into inflammaging
Baylis, D., Bartlett, D. B., Patel, H. P., & Roberts, H. C. (2013) · Longevity & Healthspan · doi:10.1186/2046-2395-2-8 · Cited by 413 · cited 1× · see citing works
“Notably, inflammation is also a widely-used indicator of biological aging (Baylis et al., 2013), coined as “inflammaging” by Franceschi et al.”
Pinti, M., Cevenini, E., Nasi, M., De Biasi, S., Salvioli, S., Monti, D., Benatti, S., Gibellini, L., Cotichini, R., Stazi, M. A., et al. (2014) · European Journal of Immunology · doi:10.1002/eji.201343921 · Cited by 409 · see citing works
Mitochondrial allostatic load puts the 'gluc' back in glucocorticoids
Picard, M., Juster, R.-P., & McEwen, B. S. (2014) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2014.22 · Cited by 405 · cited 1× · see citing works
“More recently, an appreciation of the role of mitochondria in the acute stress response and chronic allostatic load (Picard et al., 2014; Picard and McEwen, 2018a, 2018b) has led to investigations of the association of psychological states, stress exposure in relation to mitochondrial functions and mtDNA (Boeck et al.”
Stress and telomere biology: a lifespan perspective
Shalev, I., Entringer, S., Wadhwa, P. D., Wolkowitz, O. M., Puterman, E., Lin, J., & Epel, E. S. (2013) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.03.010 · Cited by 400 · cited 1× · see citing works
“Several excellent qualitative reviews describe and critically review this literature (Entringer et al., 2018; Epel and Prather, 2018; Price et al., 2013; Shalev et al., 2013; Shields and Slavich, 2017) and meta-analyses now quantify the magnitude of these associations and identify potential moderators of effects (e.”
Glycans Are a Novel Biomarker of Chronological and Biological Ages
Krištić, J., Vučković, F., Menni, C., Klarić, L., Keser, T., Beceheli, I., Pučić-Baković, M., Novokmet, M., Mangino, M., Thaqi, K., et al. (2014) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glt190 · Cited by 400 · see citing works
Blood Oxygen Level-Dependent Signal Variability Is More than Just Noise
Garrett, D. D., Kovacevic, N., McIntosh, A. R., & Grady, C. L. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5166-09.2010 · Cited by 396 · see citing works
Ageing and the telomere connection: An intimate relationship with inflammation
Zhang, J., Rane, G., Dai, X., Shanmugam, M. K., Arfuso, F., Samy, R. P., Lai, M. K. P., Kappei, D., Kumar, A. P., & Sethi, G. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.11.006 · Cited by 386 · cited 1× · see citing works
“These include increased inflammation, oxidative stress markers, dysregulated HPA-axis, and metabolic dysregulations (Lee et al., 2011; Monickaraj et al., 2012; Wikgren et al., 2012; Zhang et al., 2016).”
Accelerated Brain Aging in Schizophrenia: A Longitudinal Pattern Recognition Study
Schnack, H. G., van Haren, N. E. M., Nieuwenhuis, M., Pol, H. E. H., Cahn, W., & Kahn, R. S. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15070922 · Cited by 376 · cited 2× · see citing works
“Brain age algorithms (Aycheh et al., 2018; Ball et al., 2017; Cole et al., 2016; Gaser et al., 2013; Liem, 2016; Schnack et al., 2016) generate accurate individual age predictions in healthy controls, but show greater prediction errors when applied to patient groups (Cole et al.”
Individual variability in human blood metabolites identifies age-related differences
Chaleckis, R., Murakami, I., Takada, J., Kondoh, H., & Yanagida, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603023113 · Cited by 373 · cited 1× · see citing works
“, 2018) and metabolomic (Chaleckis et al., 2016; Hertel et al., 2016) signatures of aging are beginning to”
Mengel‐From, J., Thinggaard, M., Dalgård, C., Kyvik, K. O., Christensen, K., & Christiansen, L. (2014) · Human Genetics · doi:10.1007/s00439-014-1458-9 · Cited by 359 · see citing works
Aviv, A., Hunt, S. C., Lin, J., Cao, X., Kimura, M., & Blackburn, E. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr634 · Cited by 343 · see citing works
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“presented elsewhere (Aubert et al., 2012) and will not be discussed in detail here.”
Telomeres and early-life stress: an overview
Price, L. H., Kao, H.-T., Burgers, D. E., Carpenter, L. L., & Tyrka, A. R. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.06.025 · Cited by 339 · cited 1× · see citing works
“Several excellent qualitative reviews describe and critically review this literature (Entringer et al., 2018; Epel and Prather, 2018; Price et al., 2013; Shalev et al., 2013; Shields and Slavich, 2017) and meta-analyses now quantify the magnitude of these associations and identify potential moderators of effects (e.”
Psychological Stress and Mitochondria: A Systematic Review
Picard, M. A., & McEwen, B. S. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000545 · Cited by 339 · see citing works
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 334 · see citing works
Miller, F. J. (2003) · Nucleic Acids Research · doi:10.1093/nar/gng060 · Cited by 332 · see citing works
T Cell Replicative Senescence in Human Aging
P. Chou, J., & B. Effros, R. (2013) · Current Pharmaceutical Design · doi:10.2174/138161213805219711 · Cited by 323 · cited 1× · see citing works
“thermore, TL differs across leukocyte cell types, such as naïve vs mature T cells (Chou and Effros, 2013; Lin et al., 2016), and differs in different regions of the brain (Mamdani et al.”
Telomere Length and All-Cause Mortality: A Meta-analysis
Wang, Q., Zhan, Y., Pedersen, N. L., Fang, F., & Hägg, S. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.09.002 · Cited by 322 · see citing works
Psychological Stress and Mitochondria: A Conceptual Framework
Picard, M. A., & McEwen, B. S. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000544 · Cited by 318 · see citing works
Stress, cell senescence and organismal ageing
de Magalhães, J. P., & Passos, J. F. (2018) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2017.07.001 · Cited by 316 · see citing works
The search for imaging biomarkers in psychiatric disorders
Abi-Dargham, A., & Horga, G. (2016) · Nature Medicine · doi:10.1038/nm.4190 · Cited by 311 · cited 2× · see citing works
“By definition, biomarkers must exhibit both sensitivity and specificity in relation to the outcome we design them to predict (Abi-Dargham and Horga, 2016).”
Biomarkers of Aging: From Function to Molecular Biology
Wagner, K., Cameron‐Smith, D., Wessner, B., & Franzke, B. (2016) · Nutrients · doi:10.3390/nu8060338 · Cited by 307 · cited 1× · see citing works
“Here, rather than providing an exhaustive overview that can be found in recent reviews (Engelfriet et al., 2013; Horvath and Raj, 2018; Jylhava et al., 2017; López-Otín et al., 2013; Wagner et al., 2016; Xia et al., 2017), we provide a selective overview of aging indicators commonly studied in relation to mental healt…”
DNA methylation age is associated with mortality in a longitudinal Danish twin study
Christiansen, L., Lenart, A. G., Tan, Q., Vaupel, J. W., Aviv, A., McGue, M. K., & Christensen, K. (2015) · Aging Cell · doi:10.1111/acel.12421 · Cited by 306 · see citing works
Chacko, B. K., Kramer, P. A., Ravi, S., Johnson, M. S., Hardy, R. W., Ballinger, S. W., & Darley-Usmar, V. M. (2013) · Laboratory Investigation · doi:10.1038/labinvest.2013.53 · Cited by 299 · see citing works
Frailty is associated with the epigenetic clock but not with telomere length in a German cohort
Breitling, L. P., Saum, K.-U., Perna, L., Schöttker, B., Holleczek, B., & Brenner, H. (2016) · Clinical Epigenetics · doi:10.1186/s13148-016-0186-5 · Cited by 296 · see citing works
Use of Mendelian randomisation to assess potential benefit of clinical intervention.
Burgess, S., Butterworth, A., Malarstig, A., & Thompson, S. G. (2012) · BMJ · doi:10.1136/bmj.e7325 · Cited by 292 · cited 1× · see citing works
“, 2017) and genomic methods including Mendelian randomization (Burgess et al., 2012; Wium-Andersen et al., 2017) can substantially reinforce our confidence regarding the direction of effects.”
Exercise training and DNA methylation in humans
Voisin, S. A. C., Eynon, N., Yan, X., & Bishop, D. J. (2014) · Acta Physiologica · doi:10.1111/apha.12414 · Cited by 291 · cited 1× · see citing works
“Physical activity may slow age-related DNAm changes in humans (Ren et al., 2012; Voisin et al., 2015).”
Effectiveness of sodium fluoride as a preservative of glucose in blood
Chan, A. Y., Swaminathan, R., & Cockram, C. S. (1989) · Clinical Chemistry · doi:10.1093/clinchem/35.2.315 · Cited by 289 · cited 1× · see citing works
“minutes to days, blood glucose concentration decreases within minutes when the blood is left at room temperature (Chan et al., 1989), owing to metabolic activities of white and red blood cells.”
Methylomic trajectories across human fetal brain development
Spiers, H., Hannon, E., Schalkwyk, L. C., Smith, R., Wong, C. C. Y., O’Donovan, M. C., Bray, N. J., & Mill, J. (2015) · Genome Research · doi:10.1101/gr.180273.114 · Cited by 287 · cited 1× · see citing works
“While the validity of different methylation-based predictors is questioned, applications of the original pan-tissue Horvath clock (Horvath, 2013) have been successful across tissue types and proven accurate even in embryonic brain samples (Spiers et al., 2015).”
Lindqvist, D., Epel, E. S., Mellon, S. H., Penninx, B. W., Révész, D., Verhoeven, J. E., Reus, V. I., Lin, J., Mahan, L., Hough, C. M., et al. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.05.007 · Cited by 285 · cited 1× · see citing works
“This indicates that different DSM-based diagnoses may not be associated with meaningful differences in biological aging (Lindqvist et al., 2015).”
Self-citationMarioni, R. E., Harris, S. E., Shah, S. H., McRae, A. F., von Zglinicki, T., Martin-Ruiz, C. M., Wray, N. R., Visscher, P. M., & Deary, I. J. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw041 · Cited by 285 · see citing works
Differences in smoking associated DNA methylation patterns in south asians and europeans
Elliott, H. R., Tillin, T., McArdle, W. L., Ho, K., Duggirala, A., Frayling, T. M., Davey Smith, G., Hughes, A. D., Chaturvedi, N., & Relton, C. L. (2014) · Clinical Epigenetics · doi:10.1186/1868-7083-6-4 · Cited by 282 · see citing works
Early life adversity and telomere length: a meta-analysis
Ridout, K. K., Levandowski, M., Ridout, S. J., Gantz, L., Goonan, K., Palermo, D., Price, L. H., & Tyrka, A. R. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.26 · Cited by 273 · cited 3× · see citing works
“Meta-analyses of the association between TL and childhood psychosocial stressors document significant effects that vary from small to medium in size (Hanssen et al., 2017; Li et al., 2017a, b; Ridout et al., 2018).”
InfluentialVerhoeven, J. E., Révész, D., Epel, E. S., Lin, J., Wolkowitz, O. M., & Penninx, B. W. J. H. (2013) · Molecular Psychiatry · doi:10.1038/mp.2013.151 · Cited by 270 · see citing works
Diagnostic utility of telomere length testing in a hospital-based setting
Alder, J. K., Hanumanthu, V. S., Strong, M. A., Dezern, A. E., Stanley, S. E., Takemoto, C. M., Danilova, L., Applegate, C. D., Bolton, S. G., Mohr, D. W., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720427115 · Cited by 268 · cited 1× · see citing works
“reported reproducible and definable upper and lower normal boundaries for TL in a hospital population (Alder et al., 2018), indicating that standardization of these measures may be achievable.”
Molecular Signatures of Major Depression
Cai, N., Chang, S., Li, Y., Li, Q., Hu, J., Liang, J., Song, L., Kretzschmar, W. W., Gan, X., Nicod, J., et al. (2015) · Current Biology · doi:10.1016/j.cub.2015.03.008 · Cited by 264 · see citing works
Grip strength and mortality: a biomarker of ageing?
Sayer, A. A., & Kirkwood, T. B. L. (2015) · The Lancet · doi:10.1016/s0140-6736(14)62349-7 · Cited by 263 · see citing works
Batista, L. F. Z., Pech, M. F., Zhong, F. L., Nguyen, H. N., Xie, K. T., Zaug, A. J., Crary, S. M., Choi, J., Sebastiano, V., Cherry, A. M., et al. (2011) · Nature · doi:10.1038/nature10084 · Cited by 260 · see citing works
Epigenetic aging in major depressive disorder
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., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17060595 · Cited by 260 · see citing works
Self-citationTyrka, A. R., Parade, S. H., Price, L. H., Kao, H.-T., Porton, B., Philip, N. S., Welch, E. S., & Carpenter, L. L. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.12.025 · Cited by 259 · cited 3× · see citing works
“adult psychopathology have been linked to higher mtDNAcn (Cai et al., 2015; Tyrka et al., 2016).”
Self-citationFranke, K., & Christian Gaser, B. (2012) · GeroPsych · doi:10.1024/1662-9647/a000074 · Cited by 259 · cited 2× · see citing works
“have high reliability in terms of test-retest performance at both same and different scanners (Cole et al., 2016; Franke and Gaser, 2012), and have shown biologically meaningful associations with health, clinical, and neuropsychiatric phenotypes (Cole et al.”
Depression and telomere length: a meta-analysis
Ridout, K. K., Ridout, S. J., Price, L. H., Sen, S., & Tyrka, A. R. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.11.052 · Cited by 258 · cited 1× · see citing works
“Several meta-analyses, the largest one containing>34,000 subjects from 38 studies, summarized the results and provided consistent evidence of an inverse association between TL and depression, generally with small to medium effect sizes (Darrow et al., 2016; Ridout et al., 2016; Schutte and Malouff, 2015).”
Mathur, M. B., Epel, E., Kind, S., Desai, M., Parks, C. G., Sandler, D. P., & Khazeni, N. (2016) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2016.02.002 · Cited by 252 · cited 2× · see citing works
“meta-analyses, though this effect ranged from very small (Mathur et al., 2016) to modest (Schutte and Malouff, 2016) in size.”
Simpkin, A. J., Hemani, G., Suderman, M., Gaunt, T. R., Lyttleton, O., Mcardle, W. L., Ring, S. M., Sharp, G. C., Tilling, K., Horvath, S., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddv456 · Cited by 246 · cited 1× · see citing works
“, 2014), sex, and prenatal factors (Simpkin et al., 2016).”
Traumatic stress and accelerated DNA methylation age: a meta-analysis
Wolf, E. J., Maniates, H., Nugent, N., Maihofer, A. X., Armstrong, D., Ratanatharathorn, A., Ashley-Koch, A. E., Garrett, M., Kimbrel, N. A., Lori, A., et al. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.12.007 · Cited by 245 · see citing works
Lemke, M. R., Wendorff, T., Mieth, B., Buhl, K., & Linnemann, M. (2000) · Journal of Psychiatric Research · doi:10.1016/s0022-3956(00)00017-0 · Cited by 243 · see citing works
Quantitative assessment of markers for cell senescence
Lawless, C., Wang, C., Jurk, D., Merz, A., Zglinicki, T. V., & Passos, J. F. (2010) · Experimental Gerontology · doi:10.1016/j.exger.2010.01.018 · Cited by 240 · see citing works
Karabatsiakis, A., Böck, C., Salinas-Manrique, J., Kolassa, S., Calzia, E., Dietrich, D. E., & Kolassa, I. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.44 · Cited by 237 · see citing works
Steffener, J., Habeck, C. G., O’Shea, D. M., Razlighi, Q. R., Bherer, L., & Stern, Y. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.01.014 · Cited by 235 · cited 1× · see citing works
“Higher physical activity levels are associated with lower brain age (Steffener et al., 2016), and “younger brains” are seen in those that learn to play an instrument (Rogenmoser et al.”
Is Post-Traumatic Stress Disorder Associated with Premature Senescence? A Review of the Literature
Lohr, J. B., Palmer, B. W., Eidt, C. A., Aailaboyina, S., Mausbach, B. T., Wolkowitz, O. M., Thorp, S. R., & Jeste, D. V. (2015) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2015.04.001 · Cited by 233 · cited 1× · see citing works
“particularly in early life where the measured rate of aging may be more rapid than across adult life (Cole et al., 2018; Lohr et al., 2015).”
Boks, M. P., Mierlo, H. C. V., Rutten, B. P. F., Radstake, T. R. D. J., De Witte, L., Geuze, E., Horvath, S., Schalkwyk, L. C., Vinkers, C. H., Broen, J. C. A., et al. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.07.011 · Cited by 231 · cited 1× · see citing works
“tween PTSD and epigenetic aging using the Horvath predictor (Boks et al., 2015; Mehta et al., 2018; Zannas et al., 2015).”
Darrow, S. M., Verhoeven, J. E., Révész, D., Lindqvist, D., Penninx, B. W. J. H., Delucchi, K. L., Wolkowitz, O. M., & Mathews, C. A. (2016) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000356 · Cited by 229 · see citing works
Self-citationDetecting Neuroimaging Biomarkers for Psychiatric Disorders: Sample Size Matters
Schnack, H. G., & Kahn, R. S. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00050 · Cited by 228 · cited 1× · see citing works
“(Schnack and Kahn, 2016) argue that larger sample sizes will have more generalization power.”
Shields, G. S., & Slavich, G. M. (2017) · Social and Personality Psychology Compass · doi:10.1111/spc3.12335 · Cited by 224 · cited 1× · see citing works
“Several excellent qualitative reviews describe and critically review this literature (Entringer et al., 2018; Epel and Prather, 2018; Price et al., 2013; Shalev et al., 2013; Shields and Slavich, 2017) and meta-analyses now quantify the magnitude of these associations and identify potential moderators of effects (e.”
The Impact of Serious Mental Illness on Health and Healthcare
Viron, M., & Stern, T. A. (2010) · Psychosomatics · doi:10.1016/s0033-3182(10)70737-4 · Cited by 223 · see citing works
Inverse association between adiposity and telomere length: The fels longitudinal study
Lee, M., Martin, H. B., Firpo, M. A., & Demerath, E. W. (2010) · American Journal of Human Biology · doi:10.1002/ajhb.21109 · Cited by 213 · cited 1× · see citing works
“These include increased inflammation, oxidative stress markers, dysregulated HPA-axis, and metabolic dysregulations (Lee et al., 2011; Monickaraj et al., 2012; Wikgren et al., 2012; Zhang et al., 2016).”
Yates, T., Zaccardi, F., Dhalwani, N., Davies, M., Bakrania, K., Celis-Morales, C., Gill, J., Franks, P., & Khunti, K. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx449 · Cited by 211 · see citing works
Commentary: The seven plagues of epigenetic epidemiology
Heijmans, B. T., & Mill, J. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr225 · Cited by 208 · cited 1× · see citing works
“Many potential confounders may cause technical variation in DNAm studies, of which population stratification and genetic ancestry are major contributors (Heijmans and Mill, 2012; Ratanatharathorn et al., 2017; Susser et al., 2016).”
GWAS of epigenetic aging rates in blood reveals a critical role for TERT
Lu, A. T.-H., Xue, L., Salfati, E., Chen, B. H., Ferrucci, L., Levy, D. A., Joehanes, R., Murabito, J. M., Kiel, D. P., Tsai, P.-C., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02697-5 · Cited by 206 · see citing works
BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder
Nenadić, I., Dietzek, M., Langbein, K., Sauer, H., & Christian Gaser, B. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.05.006 · Cited by 203 · cited 1× · see citing works
“2017), schizophrenia (Koutsouleris et al., 2014; Nenadic et al., 2017; Schnack et al., 2016), and first-episode psychosis (Kolenic et al.”
A comparison of voxel and surface based cortical thickness estimation methods
Clarkson, M. J., Cardoso, M. J., Ridgway, G. R., Marc Modat, A., Leung, K. K., Rohrer, J. D., Fox, N. C., & Sebastien Ourselin, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.053 · Cited by 195 · see citing works
The cerebellum ages slowly according to the epigenetic clock
Horvath, S., Mah, V., Lu, A. T., Woo, J. S., Choi, O.-W., Jasinska, A. J., Riancho, J. A., Tung, S., Coles, N. S., Braun, J., et al. (2015) · Aging · doi:10.18632/aging.100742 · Cited by 191 · cited 1× · see citing works
“Tissues from multiple organs have been found to age at different rates in terms of epigenetic age (Horvath et al., 2015).”
The fetal programming of telomere biology hypothesis: an update
Entringer, S., de Punder, K., Buß, C., & Wadhwa, P. D. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0151 · Cited by 189 · see citing works
Lindqvist, D., Wolkowitz, O. M., Picard, M., Ohlsson, L., Bersani, F. S., Fernström, J., Westrin, Å., Hough, C. M., Lin, J., Reus, V. I., et al. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-017-0001-9 · Cited by 188 · cited 14× · see citing works
“MDD is among the most frequently studied disorders in this context, possibly as a consequence of its relatively well-documented associations with dysregulated physical health (Penninx et al., 2013).”
InfluentialSelf-citationMolecular and phenotypic biomarkers of aging
Xia, X., Chen, W., McDermott, J., & Han, J.-D. J. (2017) · F1000Research · doi:10.12688/f1000research.10692.1 · Cited by 187 · see citing works
Telomere length and cortisol reactivity in children of depressed mothers
Gotlib, I. H., LeMoult, J., Colich, N. L., Foland-Ross, L. C., Hallmayer, J., Joormann, J., Lin, J., & Wolkowitz, O. M. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.119 · Cited by 186 · see citing works
Cell-type deconvolution from DNA methylation: a review of recent applications
Titus, A., Gallimore, R. M., Salas, L. A., & Christensen, B. C. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx275 · Cited by 185 · cited 1× · see citing works
“type proportions (Titus et al., 2017) and adjust results accordingly.”
Eileen Luders, A., Cherbuin, N., & Christian Gaser, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.007 · Cited by 183 · cited 1× · see citing works
“A popular approach in neuroscience is to use statistical approaches to translate complex whole-brain multivariate patterns of aging into a single outcome (Luders et al., 2016), the so-called “brain age” (see Cole and Franke, 2017 for details).”
González‐Freire, M., Scalzo, P., D’Agostino, J., Moore, A. Z., Díaz‐Ruiz, A., Fabbri, E., Zane, A. C., Chen, B. H., Becker, K. G., Lehrmann, E., et al. (2018) · Aging Cell · doi:10.1111/acel.12725 · Cited by 183 · see citing works
Measuring Biological Age via Metabonomics: The Metabolic Age Score
Hertel, J., Friedrich, N., Wittfeld, K., Pietzner, M., Budde, K., Van der Auwera, S., Lohmann, T., Teumer, A., Völzke, H., Nauck, M., et al. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00561 · Cited by 181 · cited 2× · see citing works
“, 2018) and metabolomic (Chaleckis et al., 2016; Hertel et al., 2016) signatures of aging are beginning to”
Long-term lithium treatment in bipolar disorder is associated with longer leukocyte telomeres
Martinsson, L., Wei, Y., Xu, D., Melas, P. A., Mathé, A. A., Schalling, M., Lavebratt, C., & Backlund, L. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.37 · Cited by 179 · cited 1× · see citing works
“Turning to other disorders, in a group of bipolar and schizophrenia/psychosis patients, lithium nonresponders had shorter telomeres than responders (Martinsson et al., 2013), and similar associations were found linking short TL to poor”
Independent impacts of aging on mitochondrial DNA quantity and quality in humans
Zhang, R., Wang, Y., Ye, K., Picard, M. A., & Gu, Z. (2017) · BMC Genomics · doi:10.1186/s12864-017-4287-0 · Cited by 174 · see citing works
Wikgren, M., Maripuu, M., Karlsson, T., Nordfjäll, K., Bergdahl, J., Hultdin, J., Del‐Favero, J., Roos, G., Nilsson, L., Adolfsson, R., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.015 · Cited by 173 · cited 1× · see citing works
“These include increased inflammation, oxidative stress markers, dysregulated HPA-axis, and metabolic dysregulations (Lee et al., 2011; Monickaraj et al., 2012; Wikgren et al., 2012; Zhang et al., 2016).”
A meta-analytic review of the effects of mindfulness meditation on telomerase activity
Schutte, N. S., & Malouff, J. M. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.12.017 · Cited by 171 · cited 1× · see citing works
“, cognitive behavioral therapy), although preliminary evidence suggests a positive correlation between mindfulness/ meditation practices and telomere biology, including increased telomerase activity (Conklin et al., 2018; Schutte and Malouff, 2014).”
Cell-free DNA release under psychosocial and physical stress conditions
Hummel, E. M., Hessas, E.-M., Müller, S., Beiter, T., Fisch, M. R., Eibl, A., Wolf, O. T., Giebel, B., Platen, P., Kumsta, R., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0264-x · Cited by 169 · see citing works
Puterman, E., Gemmill, A., Karasek, D., Weir, D., Adler, N. E., Prather, A. A., & Epel, E. S. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525602113 · Cited by 165 · cited 1× · see citing works
“Although some studies suggest that childhood adversity may account for associations between TL and adult stressors (Puterman et al., 2016; Révész et al., 2016), there is also evidence that stressors experienced in adulthood prospectively predict telomere attrition (Puterman et al.”
Huan, T., Chen, G., Liu, C., Bhattacharya, A., Rong, J., Chen, B. H., Seshadri, S. S., Tanrıverdi, K., Freedman, J. E., Larson, M. G., et al. (2017) · Aging Cell · doi:10.1111/acel.12687 · Cited by 165 · cited 1× · see citing works
“The microRNA age indicator of Huan et al. (2018) was modestly correlated to epigenetic age (r=0.3) and microRNA expression (r=0.2).”
InfluentialAccelerated epigenetic aging and mitochondrial DNA copy number in bipolar disorder
Fries, G. R., Bauer, I. E., Scaini, G., Wu, M., Kazimi, I. F., Valvassori, S. S., Zunta‐Soares, G. B., Walss‐Bass, C., Soares, J. C., & Quevedo, J. (2017) · Translational Psychiatry · doi:10.1038/s41398-017-0048-8 · Cited by 162 · see citing works
The Longitudinal Study of Aging in Human Young Adults: Knowledge Gaps and Research Agenda
Moffitt, T. E., Belsky, D. W., Danese, A., Poulton, R., & Caspi, A. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw191 · Cited by 159 · cited 1× · see citing works
“First, future studies should include longitudinal designs to increase the reliability and accuracy of measuring aging (Moffitt et al., 2017).”
Shalev, I., Moffitt, T. E., Braithwaite, A. W., Danese, A., Fleming, N. I., Goldman-Mellor, S., Harrington, H. L., Houts, R. M., Israel, S., Poulton, R., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.183 · Cited by 155 · see citing works
Stress, telomeres, and psychopathology: toward a deeper understanding of a triad of early aging
Epel, E. S., & Prather, A. A. (2018) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045054 · Cited by 153 · cited 6× · see citing works
“alternatively, that the psychiatric and medical conditions may be primarily responsible for some of the telomere effect (Epel and Prather, 2018).”
InfluentialCell‐free DNA as a biomarker of aging
Teo, Y. V., Capri, M., Morsiani, C., Pizza, G., Faria, A. M. C., Franceschi, C., & Neretti, N. (2018) · Aging Cell · doi:10.1111/acel.12890 · Cited by 152 · cited 1× · see citing works
“, 2004), age-related elevation in circulating DNA (Teo et al., 2018), and of psychoneuroimmunology and the pro-inflammatory effects of psychological stress (Marsland et al.”
Brain Age in Early Stages of Bipolar Disorders or Schizophrenia
Hájek, T., Franke, K., Kolenič, M., Capkova, J., Matějka, M., Propper, L., Uher, R., Stopková, P., Novák, T., Paus, T., et al. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx172 · Cited by 152 · see citing works
Puterman, E., Lin, J., Krauss, J., Blackburn, E. H., & Epel, E. S. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.70 · Cited by 150 · cited 1× · see citing works
“, 2016), there is also evidence that stressors experienced in adulthood prospectively predict telomere attrition (Puterman et al., 2015; van Ockenburg et al., 2015).”
Malik, A. N., Shahni, R., Rodriguez-de-Ledesma, A., Laftah, A. H., & Cunningham, P. (2011) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2011.06.067 · Cited by 148 · cited 1× · see citing works
“multiplied by 2 to account for the diploid nature of the nuclear genome and taken as mtDNAcn (Malik et al., 2011).”
Programmatic features of aging originating in development: aging mechanisms beyond molecular damage?
de Magalhães, J. P. (2012) · The FASEB Journal · doi:10.1096/fj.12-210872 · Cited by 147 · see citing works
Keeping brains young with making music
Rogenmoser, L., Kernbach, J. M., Schlaug, G., & Gaser, C. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1491-2 · Cited by 147 · cited 1× · see citing works
“, 2016), and “younger brains” are seen in those that learn to play an instrument (Rogenmoser et al., 2018) and those who have practiced meditation for long periods”
Acute psychological stress increases serum circulating cell-free mitochondrial DNA
Trumpff, C., Marsland, A. L., Basualto-Alarcón, C., Martin, J. L., Carroll, J. E., Sturm, G., Vincent, A. E., Mosharov, E. V., Gu, Z., Kaufman, B. A., et al. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.03.026 · Cited by 147 · cited 2× · see citing works
“…study using psychological stress induction in healthy middle-aged individuals also demonstrated that an acute bout of psychological stress may be sufficient to elicit a 2–3 fold increase in serum ccf-mtDNA within 30min, suggesting that ccf-mtDNA is dynamically regulated (Trumpff et al., 2019).”
THE ASSOCIATION BETWEEN DEPRESSION AND LEUKOCYTE TELOMERE LENGTH: A META-ANALYSIS
Schutte, N. S., & Malouff, J. M. (2015) · Depression and Anxiety · doi:10.1002/da.22351 · Cited by 144 · cited 1× · see citing works
“Several meta-analyses, the largest one containing>34,000 subjects from 38 studies, summarized the results and provided consistent evidence of an inverse association between TL and depression, generally with small to medium effect sizes (Darrow et al., 2016; Ridout et al., 2016; Schutte and Malouff, 2015).”
Circulating Proteomic Signatures of Chronological Age
Menni, C., Kiddle, S. J., Mangino, M., Viñuela, A., Psatha, M., Steves, C., Sattlecker, M., Buil, A., Newhouse, S., Nelson, S., et al. (2015) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glu121 · Cited by 144 · cited 1× · see citing works
“Although exciting new findings from proteomic (Menni et al., 2015; Tanaka et al., 2018) and metabolomic (Chaleckis et al.”
van Gool, C. H., Kempen, G. I. J. M., Bosma, H., van Boxtel, M. P. J., Jolles, J., & van Eijk, J. T. M. (2007) · American Journal of Public Health · doi:10.2105/ajph.2004.053199 · Cited by 135 · see citing works
Handgrip Strength Cannot Be Assumed a Proxy for Overall Muscle Strength
Yeung, S. S. Y., Reijnierse, E. M., Trappenburg, M. C., Hogrel, J., McPhee, J. S., Piasecki, M., Sipilä, S., Salpakoski, A., Butler-Browne, G. S., Pääsuke, M., et al. (2018) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2018.04.019 · Cited by 130 · cited 2× · see citing works
“agreement between muscle strength measured from handgrip or knee extension, suggesting that the most commonly used metric of muscle strength - handgrip strength - is not a proxy for overall muscle strength (Yeung et al., 2018).”
Profiling IgG N-glycans as potential biomarker of chronological and biological ages
Yu, X., Wang, Y., Krištić, J., Dong, J., Chu, X., Ge, S., Wang, H., Fang, H., Gao, Q., Liu, D., et al. (2016) · Medicine · doi:10.1097/md.0000000000004112 · Cited by 128 · see citing works
Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity
Tardif, C. L., Gauthier, C. J., Steele, C. J., Bazin, P.-L., Schäfer, A., Schaefer, A., Turner, R., & Villringer, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.047 · Cited by 127 · cited 1× · see citing works
“Moreover, the macroscopic volumetric changes observed in T1and T2-weighted MR imaging reflect microscopic changes at the tissue and cellular levels, and in many circumstances possibly represent an aggregate of multiple cellular mechanisms related to synapses, neurons, and glial cells (Tardif et al., 2016).”
Wolkowitz, O. M., Mellon, S. H., Epel, E. S., Lin, J., Reus, V. I., Rosser, R., Burke, H., Compagnone, M., Nelson, J. C., Dhabhar, F. S., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.133 · Cited by 125 · cited 1× · see citing works
“The first study suggesting such a link showed in a small sample of previously unmedicated MDD subjects that low baseline telomerase activity, and a greater increase in telomerase activity during eight weeks of selective serotonin reuptake inhibitors (SSRI) treatment were associated to superior clinical outcome (Wolkow…”
Tyrka, A. R., Carpenter, L. L., Kao, H.-T., Porton, B., Philip, N. S., Ridout, S. J., Ridout, K. K., & Price, L. H. (2015) · Experimental Gerontology · doi:10.1016/j.exger.2015.04.002 · Cited by 125 · see citing works
Lung function, smoking and mortality in a 26-year follow-up of healthy middle-aged males
Stavem, K., Aaser, E., Sandvik, L., Bjørnholt, J. V., Erikssen, G., Thaulow, E., & Erikssen, J. E. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00008504 · Cited by 124 · see citing works
Marked aging‐related decline in efficiency of oxidative phosphorylation in human skin fibroblasts
Gréco, M., Villani, G., Mazzucchelli, F., Bresolin, N., Papa, S., & Attardi, G. M. (2003) · The FASEB Journal · doi:10.1096/fj.02-1009fje · Cited by 122 · see citing works
Boeck, C., Koenig, A. M., Schury, K., Geiger, M. L., Karabatsiakis, A., Wilker, S., Waller, C., Gündel, H., Fegert, J. M., Calzia, E., et al. (2016) · Mitochondrion · doi:10.1016/j.mito.2016.08.006 · Cited by 120 · see citing works
Systematic and Cell Type-Specific Telomere Length Changes in Subsets of Lymphocytes
Lin, J., Cheon, J., Brown, R. R., Coccia, M., Puterman, E. M., Aschbacher, K., Sinclair, E., Epel, E. S., & Blackburn, E. H. (2016) · Journal of Immunology Research · doi:10.1155/2016/5371050 · Cited by 118 · cited 1× · see citing works
“thermore, TL differs across leukocyte cell types, such as naïve vs mature T cells (Chou and Effros, 2013; Lin et al., 2016), and differs in different regions of the brain (Mamdani et al.”
T Cell Replicative Senescence in Human Aging
Chou, J. P., & Effros, R. B. (2013) · Current Pharmaceutical Design · doi:10.2174/1381612811319090016 · Cited by 118 · see citing works
Adjusting for Batch Effects in DNA Methylation Microarray Data, a Lesson Learned
Price, E. M., & Robinson, W. P. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00083 · Cited by 116 · cited 1× · see citing works
“statistically correct for these prior to analyses (Akulenko et al., 2016; Price and Robinson, 2018).”
A Mitochondrial Health Index Sensitive to Mood and Caregiving Stress
Picard, M. A., Prather, A. A., Puterman, E. M., Cuillerier, A., Coccia, M., Aschbacher, K., Burelle, Y., & Epel, E. S. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.01.012 · Cited by 113 · cited 7× · see citing works
“Using this composite index as an outcome, this study found that positive mood was associated with higher MHI and was a mediator of the association between caregiving and MHI (Picard et al., 2018).”
InfluentialKageyama, Y., Kasahara, T., Kato, M., Sakai, S., Deguchi, Y., Tani, M., Kuroda, K., Hattori, K., Yoshida, S., Goto, Y., et al. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.06.001 · Cited by 112 · cited 1× · see citing works
“Recent evidence suggests that ccf-mtDNA could contribute to this pro-inflammatory state, although evidence is mixed (Kageyama et al., 2018; Lindqvist et al., 2018, 2016).”
Subjective Age and Mortality in Three Longitudinal Samples
Stéphan, Y., Sutin, A. R., & Terracciano, A. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000613 · Cited by 112 · cited 1× · see citing works
“limitation, we do not cover self-reported age (Stephan et al., 2018), selfreported perception of aging (Levy et al.”
Lindqvist, D., Fernström, J., Grudet, C., Ljunggren, L., Träskman-Bendz, L., Ohlsson, L., & Westrin, Å. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.236 · Cited by 111 · cited 3× · see citing works
“Another study found that suicide attempters have significantly higher plasma levels of ccfmtDNA (Lindqvist et al., 2016) and another study found elevated ccfmtDNA levels in individuals with major depressive disorder (MDD) (Lindqvist et al.”
InfluentialSelf-citationChen, L., Dong, Y., Bhagatwala, J., Raed, A., Huang, Y., & Zhu, H. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/gly223 · Cited by 111 · see citing works
Questioning causal involvement of telomeres in aging
Simons, M. J. P. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.08.002 · Cited by 108 · see citing works
Puterman, E. M., Weiss, J., Lin, J., Schilf, S., Slusher, A. L., Johansen, K. L., & Epel, E. S. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.08.002 · Cited by 105 · cited 2× · see citing works
“…recent small controlled studies have shown elongation of telomeres in response to highly controlled aerobic exercise verified with actigraphy (Puterman et al., 2018), losing and maintaining a weight loss of 10% or greater (Mason et al., 2018), and meditation-based interventions (Conklin et…”
Inflammaging 2018: An update and a model
Franceschi, C., Zaikin, A. A., Gordleeva, S., Ivanchenko, M., Bonifazi, F., Storci, G., & Bonafè, M. (2018) · Seminars in Immunology · doi:10.1016/j.smim.2018.10.008 · Cited by 105 · cited 1× · see citing works
“For example, different blood cell types have different epigenomes (Reinius et al., 2012), telomerase activity and TL (Boeck et al., 2018b, 2018d; Lin et al., 2010), and mitochondrial respiratory capacity (Chacko et al., 2013).”
Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study
Aycheh, H. M., Seong, J., Shin, J., Na, D. L., Kang, B., Seo, S. W., & Sohn, K.-A. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00252 · Cited by 102 · see citing works
The Impact of Serious Mental Illness on Health and Healthcare
Viron, M., & Stern, T. A. (2010) · Psychosomatics · doi:10.1176/appi.psy.51.6.458 · Cited by 102 · cited 1× · see citing works
“related medical conditions, including cardiovascular disease, stroke, dementia, diabetes, and obesity (Penninx et al., 2013; Viron and Stern, 2010), and early mortality (Walker et al.”
Short telomeres in patients with chronic schizophrenia who show a poor response to treatment
Yu, W., Chang, H., Lin, C., & Cho, C.-L. (2008) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0825 · Cited by 96 · cited 1× · see citing works
“treatment response in schizophrenia (Li et al., 2015; Yu et al., 2008).”
Obesity, dyslipidemia and brain age in first-episode psychosis
Kolenič, M., Franke, K., Hlinka, J., Matějka, M., Capkova, J., Pausová, Z., Uher, R., Alda, M., Španiel, F., & Hájek, T. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.02.012 · Cited by 96 · cited 1× · see citing works
“, 2016), and first-episode psychosis (Kolenic et al., 2018), but findings were less consistent in BD.”
Mitochondrial DNA copy number is reduced in male combat veterans with PTSD
Bersani, F. S., Morley, C., Lindqvist, D., Epel, E. S., Picard, M. A., Yehuda, R., Flory, J. D., Bierer, L. M., Makotkine, I., Amara, D. A., et al. (2015) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.06.012 · Cited by 93 · see citing works
The relationship between childhood psychosocial stressor level and telomere length: a meta-analysis
M. Hanssen, L., S. Schutte, N., M. Malouff, J., & S. Epel, E. (2017) · Health Psychology Research · doi:10.4081/hpr.2017.6378 · Cited by 93 · see citing works
Vetter, V. M., Meyer, A., Karbasiyan, M., Steinhagen‐Thiessen, E., Hopfenmüller, W., & Demuth, I. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/gly184 · Cited by 93 · see citing works
Tyrrell, D. J., Bharadwaj, M. S., Horn, C. G. V., Kritchevsky, S. B., Nicklas, B. J., & Molina, A. J. A. (2014) · The Journals of Gerontology Series A · doi:10.1093/gerona/glu096 · Cited by 92 · cited 1× · see citing works
“, 2015) and isolated mitochondria where the intrinsic function of the organelle can be directly assessed independent of cellular contributions (Tyrrell et al., 2015).”
Mamdani, F., Rollins, B. L., Morgan, L. Z., Myers, R., Barchas, J. D., Schatzberg, A. F., Watson, S. J., Akil, H., Potkin, S. G., Bunney, W. E., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.134 · Cited by 92 · cited 2× · see citing works
“, 2016), and differs in different regions of the brain (Mamdani et al., 2015).”
The Relationship Between Perceived Stress and Telomere Length: A Meta‐analysis
Schutte, N. S., & Malouff, J. M. (2014) · Stress and Health · doi:10.1002/smi.2607 · Cited by 88 · see citing works
Verhoeven, J. E., Révész, D., Picard, M. A., Epel, E. S., Wolkowitz, O. M., Matthews, K. A., Penninx, B. W. J. H., & Puterman, E. M. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.48 · Cited by 87 · see citing works
Ratanatharathorn, A. D., Boks, M. P., Maihofer, A. X., Aiello, A. E., Amstadter, A. B., Ashley‐Koch, A. E., Baker, D. G., Beckham, J. C., Bromet, E. J., Dennis, M. F., et al. (2017) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32568 · Cited by 87 · see citing works
Jha, M. K., & Trivedi, M. H. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19010233 · Cited by 86 · see citing works
Peripheral Inflammatory Parameters in Late-Life Depression: A Systematic Review
Martínez-Cengotitabengoa, M., Carrascón, L., O’Brien, J., Díaz-Gutiérrez, M.-J., Bermúdez-Ampudia, C., Sanada, K., Arrasate, M., & González-Pinto, A. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17122022 · Cited by 85 · cited 1× · see citing works
“An increase in the inflammatory response, together with microglial activation, in turn, can contribute to psychiatric diseases, such as MDD, schizophrenia, BD, and autism (Khandaker et al., 2015; Martínez-Cengotitabengoa et al., 2016; Réus et al., 2015).”
Li, Z., He, Y., Wang, D., Tang, J., & Chen, X. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.06.002 · Cited by 84 · see citing works
Leukocyte mitochondrial DNA (mtDNA) content is associated with depression in old women
Kim, M.-Y., Lee, J., Kang, H., Kim, E., & Lee, D. (2010) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2010.11.019 · Cited by 82 · see citing works
Subcellular origin of mitochondrial DNA deletions in human skeletal muscle
Vincent, A. E., Rosa, H. S., Pabis, K., Lawless, C., Chen, C., Grünewald, A., Rygiel, K. A., Rocha, M. C., Reeve, A. K., Falkous, G., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25288 · Cited by 82 · cited 1× · see citing works
“, 1992; Picard and Hirano, 2016) and even between cells of a given organ (Vincent et al., 2018).”
Systematic analysis of the gerontome reveals links between aging and age-related diseases
Fernandes, M., Wan, C., Tăcutu, R., Barardo, D., Rajput, A. B., Wang, J., Thoppil, H., Thornton, D., Yang, C., Freitas, A. A., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw307 · Cited by 81 · see citing works
Adjusting MtDNA Quantification in Whole Blood for Peripheral Blood Platelet and Leukocyte Counts
Hurtado-Roca, Y., Ledesma, M., González‐Lázaro, M., Moreno‐Loshuertos, R., Fernández‐Silva, P., Enrı́quez, J. A., & Laclaustra, M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163770 · Cited by 81 · cited 1× · see citing works
“Platelets do not have nDNA, but have mtDNA, which artificially inflates mtDNA copy number in whole blood preparations (Hurtado-Roca et al., 2016; Urata et al., 2008).”
Human Age Prediction Based on DNA Methylation Using a Gradient Boosting Regressor
Li, X., Li, W., & Xu, Y. (2018) · Genes · doi:10.3390/genes9090424 · Cited by 78 · see citing works
Mamdani, F., Rollins, B. L., Morgan, L. Z., Myers, R., Barchas, J. D., Schatzberg, A. F., Watson, S. J., Akil, H., Potkin, S. G., Bunney, W. E., et al. (2016) · Translational Psychiatry · doi:10.1038/tp.2015.164 · Cited by 76 · see citing works
Biochemical Markers of Aging for Longitudinal Studies in Humans
Engelfriet, P. M., Jansen, E. H. J. M., Picavet, H. S. J., & Dollé, M. E. T. (2013) · Epidemiologic Reviews · doi:10.1093/epirev/mxs011 · Cited by 74 · cited 2× · see citing works
“Several excellent qualitative reviews describe and critically review this literature (Entringer et al., 2018; Epel and Prather, 2018; Price et al., 2013; Shalev et al., 2013; Shields and Slavich, 2017) and meta-analyses now quantify the magnitude of these associations and identify potential moderators of effects (e.”
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Oblak, L., van der Zaag, J., Higgins‐Chen, A., Levine, M. E., & Boks, M. P. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101348 · Cited by 591 · see citing works
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 334 · see citing works
Szymkowicz, S. M., Gerlach, A., Homiack, D., & Taylor, W. D. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02464-9 · Cited by 212 · see citing works
“As the difference between calculated brain age and chronological age differs between midlife adult depressed samples and LLD [198, 203, 204, 209], depression may be associated with an altered trajectory of biological aging [210].”
BackgroundKuzminskaite, 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 175 · see citing works
Stress and Psychiatric Disorders: The Role of Mitochondria
Daniels, T. E., Olsen, E. M., & Tyrka, A. R. (2020) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-082719-104030 · Cited by 157 · see citing works
The energetic cost of allostasis and allostatic load
Bobba‐Alves, N., Juster, R., & Picard, M. A. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.105951 · Cited by 155 · see citing works
“…to developmental trajectories, this model may help to understand the embedding of stressful experiences, particularly around sensitive periods of development (when energy costs are the highest), and the preferential vulnerability of specific organ systems, like the immune and nervous systems.”
BackgroundAn 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 · see citing works
Hautekiet, P., Saenen, N. D., Martens, D. S., Debay, M., der Heyden, J. V., Nawrot, T. S., & Clercq, E. M. D. (2022) · BMC Medicine · doi:10.1186/s12916-022-02524-9 · Cited by 107 · see citing works
Mitochondrial psychobiology: foundations and applications
Picard, M. A., Trumpff, C., & Burelle, Y. (2019) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2019.04.015 · Cited by 66 · see citing works
Quantitative mapping of human hair greying and reversal in relation to life stress
Rosenberg, A. M., Rausser, S., Ren, J., Mosharov, E. V., Sturm, G., Ogden, R. T., Patel, P. R., Soni, R. K., Lacefield, C., Tobin, D. J., et al. (2021) · eLife · doi:10.7554/elife.67437 · Cited by 68 · see citing works
Frailty and severe mental illness: A systematic review and narrative synthesis
Pearson, E., Siskind, D. J., Hubbard, R. E., Gordon, E. H., Coulson, E. J., & Warren, N. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.01.014 · Cited by 61 · see citing works
Galkin, F., Kochetov, K., Koldasbayeva, D., Faria, M., Fung, H. H.-L., Chen, A. X., & Zhavoronkov, A. A. (2022) · Aging · doi:10.18632/aging.204264 · Cited by 57 · see citing works
Mediterranean diet and mitochondria: New findings
Pollicino, F., Veronese, N., Dominguez, L. J., & Barbagallo, M. (2023) · Experimental Gerontology · doi:10.1016/j.exger.2023.112165 · Cited by 58 · see citing works
Milligen, B. A. L.-V., Verhoeven, J. E., Schmaal, L., van Velzen, L. S., Révész, D., Black, C. N., Han, L. K. M., Horsfall, M., Batelaan, N. M., van Balkom, A. J. L. M., et al. (2019) · BMC Psychiatry · doi:10.1186/s12888-019-2404-0 · Cited by 51 · see citing works
“The extent to which depression and anxiety treatment impacts the telomere/ telomerase system has not been extensively examined [25].”
BackgroundMitochondria and early-life adversity
Zitkovsky, E. K., Daniels, T. E., & Tyrka, A. R. (2021) · Mitochondrion · doi:10.1016/j.mito.2021.01.005 · Cited by 51 · see citing works
Late-life depression and multimorbidity trajectories: the role of symptom complexity and severity
Triolo, F., Sjöberg, L., Calderón‐Larrañaga, A., Murri, M. B., Vetrano, D. L., Fratiglioni, L., & Dekhtyar, S. (2022) · Age and Ageing · doi:10.1093/ageing/afac315 · Cited by 49 · see citing works
Domingue, B. W., Duncan, L. E., Harrati, A., & Belsky, D. W. (2020) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaa044 · Cited by 46 · see citing works
Negative fateful life events in midlife and advanced predicted brain aging
Hatton, S. N., Franz, C. E., Elman, J. A., Panizzon, M. S., Hagler, D. J., Fennema‐Notestine, C., Eyler, L. T., McEvoy, L. K., Lyons, M. J., Dale, A. M., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.004 · Cited by 45 · see citing works
Accelerated Pace of Aging in Schizophrenia: Five Case-Control Studies
Caspi, A., Shireby, G. L., Mill, J. S., Moffitt, T. E., Sugden, K., & Hannon, E. J. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.10.023 · Cited by 39 · see citing works
Voshaar, R. C. O., Dimitriadis, M., VANDENBRINK, R., Aprahamian, I., Borges, M. K., Marijnissen, R. M., Hoogendijk, E. O., Rhebergen, D., & Jeuring, H. W. (2021) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5588 · Cited by 34 · see citing works
Frailty Index as a clinical measure of biological age in psychiatry
Bersani, F. S., Canevelli, M., Cesari, M., Maggioni, E., Pasquini, M., Wolkowitz, O. M., Ferracuti, S., Biondi, M., & Bruno, G. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.03.015 · Cited by 32 · see citing works
Neurocognitive Effects of Cocoa and Red-Berries Consumption in Healthy Adults
García-Cordero, J., Pino, A., Cuevas, C., Puertas‐Martín, V., Román, R. S., & de Pascual‐Teresa, S. (2021) · Nutrients · doi:10.3390/nu14010001 · Cited by 31 · see citing works
“All of these changes lead to a progressive decline in cognitive faculty, memory difficulties and loss of executive function and speed of processing [3,8].”
BackgroundTransdiagnostic 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 28 · see citing works
“Many factors in fl uence aging trajectories and several studies have reported accelerated epigenetic age with psychiatric disorders and in individuals exposed to adversity [19].”
BackgroundPrevalence of Long COVID-19 Symptoms After Hospital Discharge in Frail and Robust Patients
Damanti, S., Cilla, M., Cilona, M. B., Fici, A., Merolla, A., Pacioni, G., LORENZO, R. D., Martinenghi, S., Vitali, G., Magnaghi, C., et al. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.834887 · Cited by 22 · see citing works
Li, Y., & Muschalla, B. (2024) · Die Rehabilitation · doi:10.1055/a-2316-6541 · Cited by 22 · see citing works
“As age increases, age-related physical and psychological changes might cause an increasing range of disorders for the elderly, both physically [2] and psycho-logically [3].”
Depression, aging, and immunity: implications for COVID-19 vaccine immunogenicity
Ford, B. N., & Savitz, J. B. (2022) · Immunity & Ageing · doi:10.1186/s12979-022-00288-7 · Cited by 17 · see citing works
Longitudinal study of traumatic-stress related cellular and cognitive aging
Wolf, E. J., Miller, M. W., Hawn, S. E., Zhao, X., Wallander, S., McCormick, B. A., Govan, C., Rasmusson, A. M., Stone, A., Schichman, S. A., et al. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.11.009 · Cited by 18 · see citing works
Associations of age, sex, sexual abuse, and genotype with monoamine oxidase a gene methylation
Checknita, D., Tiihonen, J., Hodgins, S., & Nilsson, K. W. (2021) · Journal of Neural Transmission · doi:10.1007/s00702-021-02403-2 · Cited by 14 · see citing works
Bürgin, D., Varghese, N., Eckert, A., Clemens, V., Unternäehrer, E., Boonmann, C., O’Donovan, A., & Schmid, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-14905-4 · Cited by 13 · see citing works
Hernandes, E. C. R., Aliberti, M. J. R., Guerra, R. O., Ferriolli, E., & Perracini, M. R. (2024) · European Geriatric Medicine · doi:10.1007/s41999-024-00933-y · Cited by 14 · see citing works
The stress field ages: A close look into cellular aging processes
Entringer, S., & Epel, E. S. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.104537 · Cited by 14 · see citing works
“As laid out in a conceptual paper on current challenges and future directions of this research field (Han et al., 2019), effort should be put into establishing the best objective and predictive biological age indicators or combinations of indicators (e.”
BackgroundFrailty and Treatment-Resistant Schizophrenia: A Retrospective Cohort Study
Pearson, E., Siskind, D. J., Hubbard, R. E., Gordon, E. H., Coulson, E. J., Arnautovska, U., & Warren, N. (2022) · Community Mental Health Journal · doi:10.1007/s10597-022-00998-8 · Cited by 15 · see citing works
“Premature mortality may also reflect accelerated biological aging; emerging evidence indicates that those with schizophrenia exhibit accelerated epigenetic aging and increased indicators of biological age, including inflammatory and metabolomic markers (Dada et al., 2021; Han et al., 2019; Wolkowitz, 2018).”
BackgroundBiological Aging and Mental Illness—A Vicious Cycle?
Zannas, A. S. (2024) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2024.0084 · Cited by 11 · see citing works
Ekbäck, E., Granåsen, G., Svärling, R., Blomqvist, I., & Henje, E. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.674583 · Cited by 10 · see citing works
Racial disparities in visitation and health among older adults incarcerated in prison
Prost, S. G. (2022) · Aging & Mental Health · doi:10.1080/13607863.2022.2098923 · Cited by 10 · see citing works
Advanced brain age correlates with greater rumination and less mindfulness in schizophrenia
Abram, S. V., Roach, B. J., Hua, J. P. Y., Han, L. K. M., Mathalon, D. H., Ford, J. M., & Fryer, S. L. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103301 · Cited by 9 · see citing works
“leading them to be correlated without a causal link (96).”
BackgroundTelomere length in individuals with and without major depression and adverse childhood experiences
Kuehl, L. K., de Punder, K., Deuter, C. E., Martens, D. S., Heim, C. C., Otte, C., Wingenfeld, K., & Entringer, S. (2022) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2022.105762 · Cited by 10 · see citing works
Effects of accelerated biological age on depressive symptoms in a causal reasoning framework
Gao, S., Deng, H., Wen, S., & Wang, Y. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.07.019 · Cited by 9 · see citing works
Associations of Accelerated Biological Aging With Dementia and the Mediation Role of Brain Structure
Bo, Y., Sun, L., Hou, S., Zhang, F., Zhang, H., Feng, X., Zhuo, S., Feng, S., Chang, H., Zhang, X., et al. (2025) · Neurology · doi:10.1212/wnl.0000000000213616 · Cited by 9 · see citing works
Martinez, R. A., Howard, A. G., Fernández‐Rhodes, L., Maselko, J., Pence, B. W., Dhingra, R., Galea, S., Uddin, M., Wildman, D. E., & Aiello, A. E. (2023) · Social Science & Medicine · doi:10.1016/j.socscimed.2023.116440 · Cited by 9 · see citing works
The researcher's guide to selecting biomarkers in mental health studies
Verhoeven, J. E., Wolkowitz, O. M., Satz, I. B., Conklin, Q. A., Lamers, F., Lavebratt, C., Lin, J., Lindqvist, D., Mayer, S. E., Melas, P. A., et al. (2024) · BioEssays · doi:10.1002/bies.202300246 · Cited by 9 · see citing works
“[183] It is also possible that mitochondrial energy production capacity may change within days to weeks, [86,165] calling for repeated-measures design to capture stable inter-individual differences.”
Pérez-Aldana, B. E., Martínez‐Magaña, J. J., Mayén-Lobo, Y. G., de Montellano, D. J. D., Aviña-Cervantes, C. L., Ortega‐Vázquez, A., Mendoza, A. D. G., Sarmiento, E., Soto‐Reyes, E., Juárez‐Rojop, I. E., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.870656 · Cited by 8 · see citing works
Mitochondrial control of ciliary gene expression and structure in striatal neurons
Ülgen, D. H., Chioino, A., Zanoletti, O., Quintana, A., Sanz, E., & Sandi, C. (2025) · The Journal of Physiology · doi:10.1113/jp287948 · Cited by 8 · see citing works
Stress, Inflammation, and Aging: An Association Beyond Chance
Diniz, B. S., & Vieira, É. L. M. (2018) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2018.06.013 · Cited by 8 · see citing works
Biological age and brain age in midlife: relationship to multimorbidity and mental health
Zhang, F., Chang, H., Schaefer, S. M., & Gou, J. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.09.003 · Cited by 7 · see citing works
Retirement Makes You Old? Causal Effect of Retirement on Biological Age
Furuya, S., & Fletcher, J. M. (2024) · Demography · doi:10.1215/00703370-11380637 · Cited by 7 · see citing works
Kamis, C., Xu, W., Schultz, A., Clark, J., Engelman, M., & Malecki, K. M. C. (2025) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaf206 · Cited by 7 · see citing works
The Life-meaning Orientations and Biopsychological Age of Correctional Officials
Koteneva, A. V. (2020) · Psychology and Law · doi:10.17759/psylaw.2020100303 · Cited by 7 · see citing works
Coe, J. L., Daniels, T. E., Huffhines, L. P., Seifer, R., Marsit, C. J., Kao, H., Porton, B., Parade, S. H., & Tyrka, A. R. (2024) · Developmental Psychobiology · doi:10.1002/dev.22463 · Cited by 6 · see citing works
Telomeres and Psychological Stress: Perspective on Psychopathologies
Akay, G. G. (2022) · Nöro Psikiyatri Arşivi · doi:10.29399/npa.28125 · Cited by 6 · see citing works
What Can Biologic Aging Tell Us About the Effects of Mental Stress on Vascular Health
Sara, J. D. S., Lerman, L. O., & Lerman, A. (2023) · Hypertension · doi:10.1161/hypertensionaha.123.19418 · Cited by 6 · see citing works
Ekman, U., Kemani, M. K., Wallert, J., Wicksell, R. K., Holmström, L., Ngandu, T., Rennie, A., Akenine, U., Westman, E., & Kivipelto, M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.600841 · Cited by 5 · see citing works
Wu, Y., Huang, C., Fan, B., Wu, H., Mei, Y., & Cheng, F. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.09.138 · Cited by 5 · see citing works
Jang, K., Kim, S., Lee, C., & Chae, J. (2022) · Journal of International Medical Research · doi:10.1177/03000605221109789 · Cited by 5 · see citing works
Kim, A. Y., & Kim, N. (2022) · Journal of Korean Biological Nursing Science · doi:10.7586/jkbns.2022.24.4.235 · Cited by 4 · see citing works
“포 수준까지 영향을 미쳐 세포 노화를 반영하는 텔로미어 길이에 도 변화를 초래하는 것으로 보고되고 있다[7-13].”
Shaaban, C. E., Suryadevara, V., Hill, A. V., Milani, S. A., Agarwal, P., Aggarwal, N. T., Akinyemi, R., Alladi, S., Brown, M. J., Caldwell, J. K., et al. (2026) · Nature Aging · doi:10.1038/s43587-025-01035-5 · Cited by 5 · see citing works
“When the demands of a given situation exceed intrinsic resources to respond, individuals can experience psychosocial stress that is detrimental to their biological systems 111 .”
InfluentialThe relationship between physical activity and mental health: Is more always better?
Popov, S., Volarov, M., & Rakočević, N. (2023) · Primenjena psihologija · doi:10.19090/pp.v16i3.2461 · Cited by 4 · see citing works
Mitochondrial Function as Related to Psychological Distress in Health Care Professionals
Gaetani, S., Galzignati, L., Marcati, M., Durazzi, P., Cianella, A., Mocheggiani, V., Monaco, F., Bracci, M., Neužil, J., Tomasetti, M., et al. (2021) · Psychosomatic Medicine · doi:10.1097/psy.0000000000001000 · Cited by 4 · see citing works
“In situations of chronic stress, mitochondria undergo dynamic morphological and functional changes that may result in accelerated cellular aging and increased an individual’s risk of developing metabolic conditions, such as cardiovascular disease and diabetes (32).”
BackgroundYilmaz, D., Papiol, S., Keeser, D., Cole, J. H., Malchow, B., Walter, H., Meyer‐Lindenberg, A., Hirjak, D., Hasan, A., Schmitt, A., et al. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103881 · Cited by 6 · see citing works
“The growing interest in bodily ages above and beyond the morphology and function of the brain calls for a more holistic approach, including blood indicators within the measures (Cole et al., 2019; Han et al., 2019; Teeuw et al., 2021).”
Síntomas depresivos en el adulto mayor: una revisión sistemática
Calle, J. A. H., Sánchez, V. C., & Jiménez, L. M. V. (2022) · Cuadernos Hispanoamericanos de Psicología · doi:10.18270/chps..v22i1.4038 · Cited by 3 · see citing works
Lagged effects of childhood depressive symptoms on adult epigenetic aging
Han, L. K. M., Aghajani, M., Penninx, B. W. J. H., Copeland, W., Åberg, K. A., & van den Oord, E. J. C. G. (2024) · Psychological Medicine · doi:10.1017/s0033291724001570 · Cited by 3 · see citing works
“Certain behavioral, psychiatric, and medical conditions frequently co-occur with stress exposures, and covary with changes in DNA methylation (and biological processes) central to biological aging (Han et al., 2019b).”
BackgroundWu, Y., & Lin, W. (2025) · Biogerontology · doi:10.1007/s10522-025-10195-1 · Cited by 3 · see citing works
“…quality, body composition, and mental health status (Cardenas et al. 2022; Carroll et al. 2017; Carskadon et al. 2019; Crimmins et al. 2021; Han et al. 2019; Jansen et al. 2021; Kresovich et al. 2021; Quach et al. 2017; Sae-Lee et al. 2018; Wu et al. 2019; Xu et al. 2021; Zindler et al.…”
Ni, X., Jiao, J., Yang, Z., Wang, Z., Nan, N., Gao, D., Sun, L., Zhu, X., Zhou, Q., Zhang, N., et al. (2022) · Aging · doi:10.18632/aging.204278 · Cited by 3 · see citing works
Life Values and Biopsychological Age of Law Enforcement Officers
Koteneva, A. V., & Etrivanova, T. (2022) · Psychology and Law · doi:10.17759/psylaw.2022120403 · Cited by 3 · see citing works
Biomarkers in adult spinal deformity surgery
Choy, W., Azad, T. D., Scheer, J. K., Safaee, M., & Ames, C. P. (2023) · Seminars in Spine Surgery · doi:10.1016/j.semss.2023.101058 · Cited by 3 · see citing works
Impact of Physical Activity on Physical and Cognition Function among Community-Living Older Adults
Gudjonsson, M. C. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.114091 · Cited by 3 · see citing works
Unraveling the influence of childhood emotional support on adult aging: Insights from the UK Biobank
Zhang, S., Han, T., Yang, R., Song, Y., Jiang, W., & Tian, Z. (2024) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2024.105600 · Cited by 3 · see citing works
Giosa, J., Kalles, E., Yogaratnam, K., Kim, T., McNeil, H., & Holyoke, P. (2024) · Canadian Journal on Aging / La Revue canadienne du vieillissement · doi:10.1017/s071498082400028x · Cited by 3 · see citing works
“Similarly, progress in biological aging and mental health research has lagged due to a lack of cross-discipline collaboration of scientists from biology, psychiatry, psychology, and epidemiology (Han et al., 2019).”
Dong, F., Ma, Y., & Chen, X. (2025) · Obesity · doi:10.1002/oby.24326 · Cited by 3 · see citing works
“The biggest advantage of using biological age for assessing the aging process lies in its modifiability [1].”
Yilmaz, D., Papiol, S., Keeser, D., Cole, J. H., Malchow, B., Schmitt, A., Falkai, P., Maurus, I., & Roell, L. (2025) · medRxiv · doi:10.1101/2025.01.08.24319554 · Cited by 3 · see citing works
Han, L. K. M., Toenders, Y., Shen, X.-Y., Milaneschi, Y., Whalley, H., Sämann, P., Andlauer, T., Bauer, J., Berger, K., Borgers, T., et al. (2025) · bioRxiv · doi:10.1101/2025.05.09.653064 · Cited by 1 · see citing works
Work-related stress and burnout: Is epigenetic aging the missing link?
Eder, J., David, F. S., Illius, S., Rothe, N., Wekenborg, M., Walther, A., Penz, M. S., Jylhävä, J., Miller, R. E., Kirschbaum, C., et al. (2025) · Clinical Epigenetics · doi:10.1186/s13148-025-01968-z · Cited by 2 · see citing works
“Despite increasing interest in the relationship between work-related stress, epigenetic signatures, and burnout [112, 113], longitudinal investigations remain scarce .”
Alonso-Pérez, E., O’Sullivan, J. L., Fuellen, G., Gellert, P. R., & Rudolf, H. (2026) · Annals of Epidemiology · doi:10.1016/j.annepidem.2026.110075 · Cited by 2 · see citing works
Yin, Q., Schöttker, B., Holleczek, B., Fan, Z., Stevenson‐Hoare, J. O., & Brenner, H. (2026) · Clinical Epigenetics · doi:10.1186/s13148-026-02067-3 · Cited by 2 · see citing works
Martín, D. M., Martínez, F. C., Forjaz, M. J., Castillo, M. J., & Rodríguez‐Blázquez, C. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17995 · Cited by 2 · see citing works
Daniels, T. E., Hjelm, B. E., Angeles, W. W. L.-D. L., Smith, E., Omidsalar, A. A., Rollins, B. L., Sherman, A. L., Parade, S. H., Vawter, M. P., & Tyrka, A. R. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100422 · Cited by 3 · see citing works
Editorial: Childhood Stress and Psychopathology: It’s Not Too Early to Look at Biological Aging
Middeldorp, C. M. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2019.09.020 · Cited by 2 · see citing works
Mental Disorders Are Associated With Leukocytes Telomere Shortening Among People Who Inject Drugs
Durand, M., Nagot, N., Michel, L., Le, S. M., Duong, H. T., Vallo, R., Vizeneux, A., Rapoud, D., Giang, H. T., Quillet, C., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.846844 · Cited by 1 · see citing works
Bayram, B., Makaracı, M., Pancar, Z., & Makaracı, Y. (2026) · BMC Sports Science Medicine and Rehabilitation · doi:10.1186/s13102-026-01986-1 · Cited by 1 · see citing works
The accelerated organ senescence and proteotoxicity in thyrotoxicosis mice
Qin, F., Xia, W., Feng, Z., Tan, Y., Zhang, Y., Liu, D., & Zhang, G. (2023) · Journal of Cellular Physiology · doi:10.1002/jcp.31108 · Cited by 1 · see citing works
Advances in Geriatrics and Gerontology - Challenges of the New Millennium
Palermo, S. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.111024 · Cited by 1 · see citing works
Hill, J. C., Noller, C. M., Holtzheimer, P. E., DiSano, K. D., Klinsky, E., Pudasaini, M., Crowe‐Cumella, H., & Fortuna, K. L. (2025) · Health Science Reports · doi:10.1002/hsr2.70954 · Cited by 1 · see citing works
The Complex Relationship Between Early-Life Stress and Cellular Aging
Lindqvist, D. (2022) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.11.007 · Cited by 1 · see citing works
“bolic dysregulation, and mitochondrial allostatic load [as further reviewed in (1,2)].”
BackgroundInfluentialMonge-Martín, D., Martínez, F. C., Forjaz, M. J., Castillo, M. J., & Rodríguez‐Blázquez, C. (2021) · Research Square · doi:10.21203/rs.3.rs-646382/v1
“ageing also represents a success of human progress, provided that it is accompanied by actions 10 promoting healthy and active ageing that promotes functional capacity, social contribution and 11 quality of life in old age [5, 8].”
BackgroundKuzminskaite, E. (2023) · doi:10.5463/thesis.371
Epigenetics in neurobehavioral disease
Løkhammer, S. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-18661-5.00012-9
Marcon, F., Salemi, M., D’Ippolito, C., Picardi, A., Toccaceli, V., Nisticò, L., Alviti, S., Siniscalchi, E., Salani, F., Varalda, G. M., et al. (2023) · Brain Sciences · doi:10.3390/brainsci13121720
“Interestingly, it was reported that the analysis of variations in telomere length and mitochondrial function can provide a reliable indication of the systemic effects associated with mental well-being [14,15].”
BackgroundA Psychoneuroimmunological Reading of Jane Austen’s Persuasion in the Context of Bodily Aging
Riestra-Camacho, R., & Enamorado, M. Á. J. (2024) · Journal of Medical Humanities · doi:10.1007/s10912-024-09845-1
“Han et al. (2019, 294–95) claim that bio‑ logical age indicators “are indeed…sensitive to psychological states, namely stress and psychopathology,” which can directly impact organic tissues like the skin.”
BackgroundKim, N., & Park, J. (2024) · Journal of Korean Biological Nursing Science · doi:10.7586/jkbns.24.008
Hmood, Q. S. (2024) · Journal of Medical Genetics and Clinical Biology · doi:10.61796/jmgcb.v1i5.453
Einfluss biopsychosozialer Faktoren als Moderatoren des Trainingseffekts
Wippert, P., & Schiltenwolf, M. (2024) · Springer eBooks · doi:10.1007/978-3-662-63253-6_29
Kumari, A., Pal, A., & Dada, R. (2024) · Cureus · doi:10.7759/cureus.71884
“Stress is directly linked to the biological aging process [37].”
Saltz, M. D. G. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1535145
Belsky, D. W., Wilson, D. M., & Ferrucci, L. (2025) · Oxford University Press eBooks · doi:10.1093/oso/9780198895961.003.0014
Shorter telomere length in obsessive-compulsive disorder: another evidence of neuroprogression?
Kohlrausch, F. B., de Oliveira, G. D. S. R., Neto, C. B. D. M., & Fontenelle, L. F. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.07.024 · Cited by 1 · see citing works
Bernardi, N. G., da Silva, E. Q., Marques, M. G. D. S., de Morais, S. R. L., Júnior, J. R. A. D. N., Branco, B. H. M., & de Oliveira, D. V. (2025) · Health Promotion Practice · doi:10.1177/15248399251367246
“It is understood that, along with the biological changes inherent to aging, social isolation, depression, and low self-esteem can occur, which directly impact the mental health of older adults (Han et al., 2019).”
Zheng, Q., Luo, M., Ren, Z., & Guo, Y. (2025) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000548982
“LE8, although comprehensive in physiological domains, does not account for mental health, which is increasingly recognized as a core component of aging and cognitive function [24, 25].”
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Epigenetic aging and cancer incidence in a German cohort of older adults
Yin, Q., Stevenson‐Hoare, J. O., Holleczek, B., Schöttker, B., & Brenner, H. (2026) · npj Aging · doi:10.1038/s41514-026-00356-y
“DNA methylation (DNAm)-based epigenetic clocks could evaluate BA and are increasingly recognized as robust biomarkers of aging as they have been reported to re fl ect aging processes 6,9,10,14,15 .”
Cleveland, S., Carroll, J. E., Montoya, A. K., Cha, L., Stiles, L., & Sumner, J. A. (2026) · Biological Psychiatry · doi:10.1016/j.biopsych.2026.04.006 · Cited by 1 · see citing works
- Authors
- 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., & Picard, M.
- Affiliations
- Amsterdam Neuroscience (NL)
- Amsterdam Public Health (NL)
- Brown University (US)
- University of California, San Francisco (US)
- Uppsala University (SE)
- University Medical Center Utrecht (NL)
- Tilburg University (NL)
- Columbia University Irving Medical Center (US)
- Corresponding author
- Picard, Martin
- ORCID
- Venue
- Psychoneuroendocrinology
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 106
- Pages
- 293-311
- ISSN
- 0306-4530 (ISSN-L)
- PMC
- PMC6589133
- OpenAlex
- W2929049496
- Cited by
- 104
- References
- 275
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 17 · 2023: 17 · 2022: 22 · 2021: 11 · 2020: 6 · 2019: 4 · 2018: 2
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- Locations
- Psychoneuroendocrinology (publishedVersion)
- Research portal (Tilburg University) (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- Nathaniel Wharton Fund
- National Institutes of Health (GM119793, MH113011, MH083784, MH101107, HD086487)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Keywords
- biological aging, mental health, psychological stress, mental illness, aging interventions, accelerated aging, multidisciplinary research, levels of analysis
- MeSH terms
- Aging, Mental Disorders, Humans, Mental Health, Stress, Psychological
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