Cited by 104Genetics, Aging, and Longevity in Model OrganismsAging and Gerontology ResearchTelomeres, Telomerase, and Senescence

The DOI matches its Crossref record; 277 of the 277 references it cites were found in a registry or an index.

Accelerating research on biological aging and mental health: Current challenges and future directions.

Open access

Han, Laura K.M., Verhoeven, Josine E., Tyrka, Audrey R., Penninx, Brenda W.J.H., Wolkowitz, Owen M., Månsson, Kristoffer N.T., Lindqvist, Daniel, Boks, Marco P., Révész, Dóra, Mellon, Synthia H., Picard, Martin·2019·Psychoneuroendocrinology

DOI 10.1016/j.psyneuen.2019.04.004PMC PMC6589133

Open this paper in CoChat — free account

Abstract

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.

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

Crossref · 10.1016/j.psyneuen.2019.04.004

Cites

277 of 277 references verified0 citation errors · 0 not checkable

Statistics

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Items 201–277 of 277

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 75 · cited 2×
“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 association between post-traumatic stress disorder and shorter telomere length: A systematic review and meta-analysis
Li, X., Wang, J., Zhou, J., Huang, P., & Li, J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.03.048 · Cited by 74
Mitochondrial DNA variation and increased oxidative damage in euthymic patients with bipolar disorder
Chang, C., Jou, S., Lin, T., & Liu, C. (2014) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12163 · Cited by 72
Effect of pre-analytic variables on the reproducibility of qPCR relative telomere length measurement
Dagnall, C. L., Hicks, B. D., Teshome, K., Hutchinson, A. A., Gadalla, S. M., Khincha, P. P., Yeager, M., & Savage, S. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184098 · Cited by 70
Meditation, stress processes, and telomere biology
Conklin, Q. A., Crosswell, A. D., Saron, C. D., & Epel, E. S. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.11.009 · Cited by 69 · cited 1×
“However, the predictive value of objective functional and physiological measures on mortality has mostly been reported in older populations (Cooper et al., 2010) and in middleaged populations (Rantanen et al., 2000).”
Platelet contamination causes large variation as well as overestimation of mitochondrial DNA content of peripheral blood mononuclear cells
Urata, M., Koga-Wada, Y., Kayamori, Y., & Kang, D. (2008) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1258/acb.2008.008008 · Cited by 65 · cited 1×
“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).”
Baseline biopsychosocial determinants of telomere length and 6-year attrition rate
Révész, D., Milaneschi, Y., Terpstra, E. M., & Penninx, B. W. J. H. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2016.02.007 · Cited by 65
Depressive and Anxiety Disorders Showing Robust, but Non-Dynamic, 6-Year Longitudinal Association With Short Leukocyte Telomere Length
Verhoeven, J. E., van Oppen, P., Révész, D., Wolkowitz, O. M., & Penninx, B. W. J. H. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15070887 · Cited by 65
N-Glycan profiling in the study of human aging
Vanhooren, V., Laroy, W., Libert, C., & Chen, C. (2008) · Biogerontology · doi:10.1007/s10522-008-9140-z · Cited by 64
Aberrant telomere length and mitochondrial DNA copy number in suicide completers
Otsuka, I., Izumi, T., Boku, S., Kimura, A., Zhang, Y., Mouri, K., Okazaki, S., Shiroiwa, K., Takahashi, M., Ueno, Y., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-03599-8 · Cited by 63
Convergence of adipocyte hypertrophy, telomere shortening and hypoadiponectinemia in obese subjects and in patients with type 2 diabetes
Monickaraj, F., Gokulakrishnan, K., Paramasivam, P., Chandrakumar, S., Anjana, R. M., Rajkumar, J., Mohan, V., & Balasubramanyam, M. (2012) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2012.07.097 · Cited by 61 · cited 1×
“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).”
Association of telomere length and mitochondrial DNA copy number with risperidone treatment response in first-episode antipsychotic-naïve schizophrenia
Li, Z., Hu, M., Zong, X., Hé, Y., Wang, D., Dai, L., Dong, M., Zhou, J., Cao, H., Lv, L., et al. (2015) · Scientific Reports · doi:10.1038/srep18553 · Cited by 61 · cited 1×
“treatment response in schizophrenia (Li et al., 2015; Yu et al., 2008).”
The association between muscular strength and depression in Korean adults: a cross-sectional analysis of the sixth Korea National Health and Nutrition Examination Survey (KNHANES VI) 2014
Lee, M.-R., Jung, S. M., Bang, H., Kim, H. S., & Kim, Y. B. (2018) · BMC Public Health · doi:10.1186/s12889-018-6030-4 · Cited by 61
Cell Type–Specific Methylome-wide Association Studies Implicate Neurotrophin and Innate Immune Signaling in Major Depressive Disorder
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
Differential mitochondrial DNA copy number in three mood states of bipolar disorder
Wang, D., Li, Z., Liu, W., Zhou, J., Ma, X., Tang, J., & Chen, X. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1717-8 · Cited by 60
Kleemeier Award Lecture 2008 – the canary in the coal mine: telomeres and human healthspan
Effros, R. B. (2009) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glp001 · Cited by 58
Leukocyte mitochondrial DNA copy number in bipolar disorder
SOUSA, R. T. D., Uno, M., Zanetti, M. V., Oba‐Shinjo, S. M., Busatto, G. F., Gattaz, W. F., Marie, S. K. N., & Machado‐Vieira, R. (2013) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2013.09.002 · Cited by 57
Gaussian process uncertainty in age estimation as a measure of brain abnormality
Becker, B., Klein, T., & Wachinger, C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.03.075 · Cited by 57
Leukocyte Mitochondrial DNA Copy Number in Blood Is Not Associated with Major Depressive Disorder in Young Adults
Hé, Y., Tang, J., Li, Z., Li, H., Liao, Y., Tang, Y., Tan, L., Chen, J., Xia, K., & Chen, X. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096869 · Cited by 56
A meta-analysis of the relationship between anxiety and telomere length
Malouff, J. M., & Schutte, N. S. (2016) · Anxiety Stress & Coping · doi:10.1080/10615806.2016.1261286 · Cited by 56 · cited 1×
“Within the brain, TL also varies between different cortical areas (Mamdani et al., 2015).”
Leukocyte telomere length, T cell composition and DNA methylation age
Chen, B. H., Carty, C. L., Kimura, M., Kark, J. D., Chen, W., Li, S., Zhang, T., Kooperberg, C. L., Levy, D. A., Assimes, T. L., et al. (2017) · Aging · doi:10.18632/aging.101293 · Cited by 56 · cited 1×
“More recently, methods using as little as 3–10 CpG sites from blood samples also accurately predict age (Li et al., 2018; Weidner et al., 2014) and mortality risk scores (Gao et al.”
Clinical application of quantitative glycomics
Peng, W., Zhao, J., Dong, X., Banazadeh, A., Huang, Y., Hussien, A. A., & Mechref, Y. S. (2018) · Expert Review of Proteomics · doi:10.1080/14789450.2018.1543594 · Cited by 55
Mitochondrial dysfunction in blood cells from amyotrophic lateral sclerosis patients
Ehinger, J. K., Morota, S., Hansson, M. J., Paul, G., & Elmér, E. (2015) · Journal of Neurology · doi:10.1007/s00415-015-7737-0 · Cited by 54
DNA methylation age is not accelerated in brain or blood of subjects with schizophrenia
McKinney, B. C., Huang, L., Ding, Y., Lewis, D. A., & Sweet, R. A. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.09.025 · Cited by 54 · cited 1×
“Moreover, two recent studies for the first time showed “older” epigenetic age in MDD patients versus controls (Han et al., 2018; Whalley et al., 2017), while this is not seen in schizophrenia (McKinney et al., 2017b; Voisey et al., 2017).”
Epigenetic Changes in Response to Tai Chi Practice: A Pilot Investigation of DNA Methylation Marks
Ren, H., Collins, V., Clarke, S., Han, J.-S., Lam, P., Clay, F. J., Williamson, L. M., & Choo, K. H. A. (2012) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2012/841810 · Cited by 53 · cited 1×
“Physical activity may slow age-related DNAm changes in humans (Ren et al., 2012; Voisin et al., 2015).”
Is bipolar disorder associated with accelerating aging? A meta-analysis of telomere length studies
Colpo, G. D., Leffa, D. D., Köhler, C. A., Kapczinski, F. P., Quevedo, J., & Carvalho, A. F. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.06.034 · Cited by 53
Epigenetic analysis confirms no accelerated brain aging in schizophrenia
Voisey, J., Lawford, B. R., Morris, C. P., Wockner, L. F., Noble, E. P., Young, R. M., & Mehta, D. (2017) · Schizophrenia · doi:10.1038/s41537-017-0026-4 · Cited by 53
Telomerase activation as a possible mechanism of action for psychopharmacological interventions
Bersani, F. S., Lindqvist, D., Mellon, S. H., Penninx, B. W. J. H., Verhoeven, J. E., Révész, D., Reus, V. I., & Wolkowitz, O. M. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2015.06.016 · Cited by 50 · cited 2×
“…patients with relatively low baseline telomerase activity may most benefit from therapies that may secondarily induce telomerase activation, and that telomerase activation may represent a mechanism of antidepressant action, consistent with several animal studies (reviewed in Bersani et al., 2015).”
DNA methylation evidence against the accelerated aging hypothesis of schizophrenia
McKinney, B. C., Huang, L., Ding, Y., Lewis, D. A., & Sweet, R. A. (2017) · Schizophrenia · doi:10.1038/s41537-017-0017-5 · Cited by 49
Accelerated leukocyte telomere erosion in schizophrenia: Evidence from the present study and a meta-analysis
Rao, S., Kota, L. N., Li, Z., Yao, Y., Tang, J., Mao, C., Jain, S., Xu, Y. J., & Xu, Q. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.04.010 · Cited by 48 · cited 1×
“Two meta-analyses on schizophrenia of 1200 and 1600 subjects, respectively, found small effects for TL differences (Polho et al., 2015; Rao et al., 2016).”
Accelerated DNA methylation aging and increased resilience in veterans: The biological cost for soldiering on
Mehta, D., Bruenig, D., Lawford, B. R., Harvey, W., Carrillo‐Roa, T., Morris, C. P., Jovanović, T., Young, R. M., Binder, E. B., & Voisey, J. (2018) · Neurobiology of Stress · doi:10.1016/j.ynstr.2018.04.001 · Cited by 48 · cited 2×
“tween PTSD and epigenetic aging using the Horvath predictor (Boks et al., 2015; Mehta et al., 2018; Zannas et al., 2015).”
Cellular aging in depression: Permanent imprint or reversible process?
Verhoeven, J. E., Révész, D., Wolkowitz, O. M., & Penninx, B. W. J. H. (2014) · BioEssays · doi:10.1002/bies.201400068 · Cited by 45
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
Mitochondrial DNA copy number of peripheral blood in bipolar disorder: The present study and a meta-analysis
Yamaki, N., Otsuka, I., Numata, S., Yanagi, M., Mouri, K., Okazaki, S., Boku, S., Horai, T., Ohmori, T., Shirakawa, O., et al. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.08.014 · Cited by 44
N-glycosylation profiling of plasma provides evidence for accelerated physiological aging in post-traumatic stress disorder
Moreno‐Villanueva, M., Morath, J., Vanhooren, V., Elbert, T. R., Kolassa, S., Libert, C., Bürkle, A., & Kolassa, I. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.93 · Cited by 43
Leukocyte Telomere Length Predicts SSRI Response in Major Depressive Disorder: A Preliminary Report
Hough, C. M., Bersani, F. S., Mellon, S. H., Epel, E. S., Reus, V. I., Lindqvist, D., Lin, J., Mahan, L., Rosser, R., Burke, H., et al. (2016) · Complex Psychiatry · doi:10.1159/000446500 · Cited by 43
Prospective association between major depressive disorder and leukocyte telomere length over two years
Vance, M. C., Bui, É., Hoeppner, S. S., Kovachy, B., Prescott, J., Mischoulon, D., Walton, Z. E., Dong, M., Nadal-Vicens, M. F., Worthington, J. J., et al. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.02.015 · Cited by 42
Blood plasma/IgG N-glycome biosignatures associated with major depressive disorder symptom severity and the antidepressant response
Park, D. I., Štambuk, J., Razdorov, G., Pučić‐Baković, M., Martins‐de‐Souza, D., Lauc, G., & Turck, C. W. (2018) · Scientific Reports · doi:10.1038/s41598-017-17500-0 · Cited by 41
Correlation of Leukocyte Telomere Length Measurement Methods in Patients with Dyskeratosis Congenita and in Their Unaffected Relatives
Khincha, P. P., Dagnall, C. L., Hicks, B. D., Jones, K. M., Aviv, A., Kimura, M., Katki, H. A., Aubert, G., Giri, N., Alter, B. P., et al. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18081765 · Cited by 40 · cited 1×
“cellular lysate were frozen, specific batch of reagents used, assay technique, method of DNA extraction [for TL] (Dagnall et al., 2017; Khincha et al., 2017; Shiels, 2010).”
The association between cortisol, oxytocin, and immune cell mitochondrial oxygen consumption in postpartum women with childhood maltreatment
Boeck, C., Gumpp, A. M., Calzia, E., Radermacher, P., Waller, C., Karabatsiakis, A., & Kolassa, I. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.05.040 · Cited by 40
Association of mitochondrial DNA in peripheral blood with depression, anxiety and stress- and adjustment disorders in primary health care patients
Wang, X., Sundquist, K., Rastkhani, H., Palmér, K., Memon, A. A., & Sundquist, J. (2017) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2017.06.001 · Cited by 39
Weight Loss Maintenance and Cellular Aging in the Supporting Health Through Nutrition and Exercise Study
Mason, A. E., Hecht, F. M., Daubenmier, J. J., Sbarra, D. A., Lin, J., Moran, P. J., Schleicher, S., Acree, M. C., Prather, A. A., & Epel, E. S. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000616 · Cited by 39 · cited 1×
“, 2018), losing and maintaining a weight loss of 10% or greater (Mason et al., 2018), and meditation-based interventions (Conklin et al.”
Stressful life events and leukocyte telomere attrition in adulthood: a prospective population-based cohort study
van Ockenburg, S. L., Bos, E. H., de Jonge, P., van der Harst, P., Gans, R. O. B., & Rosmalen, J. G. M. (2015) · Psychological Medicine · doi:10.1017/s0033291715000914 · Cited by 38
Telomere length and depression: Prospective cohort study and Mendelian randomisation study in 67 306 individuals
Wium‐Andersen, M. K., Ørsted, D. D., Rode, L., Bojesen, S. E., & Nordestgaard, B. G. (2016) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.115.178798 · Cited by 38 · cited 1×
“, 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.”
Failure of the PAXgene™ Blood RNA System to maintain mRNA stability in whole blood
Kågedal, B., Appell, M. L., Farnebäck, M., Lenner, L., & Peterson, C. O. (2005) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2005.206 · Cited by 37 · cited 1×
“expression assessed from messenger RNA transcript levels is also subject to rapid degradation and special care must be applied to blood destined to transcriptomic analyses (Kågedal et al., 2005).”
Improving Precision in Investigating Aging: Why Telomeres Can Cause Problems
Shiels, P. G. (2010) · The Journals of Gerontology Series A · doi:10.1093/gerona/glq095 · Cited by 37 · cited 1×
“cellular lysate were frozen, specific batch of reagents used, assay technique, method of DNA extraction [for TL] (Dagnall et al., 2017; Khincha et al., 2017; Shiels, 2010).”
Telomere length as a predictor of response to Pioglitazone in patients with unremitted depression: a preliminary study
Rasgon, N., Watson, K. T., Lin, J., Epel, E. S., & Blackburn, E. H. (2016) · Translational Psychiatry · doi:10.1038/tp.2015.187 · Cited by 37
Points of Significance: Statistics versus machine learning
Bzdok, D., Altman, N., & Krzywinski, M. I. (2018) · RWTH Publications (RWTH Aachen) · Cited by 37
Six-year trajectory of objective physical function in persons with depressive and anxiety disorders
Milligen, B. A. L.-V., Lamers, F., Smit, J. H., & Penninx, B. W. J. H. (2016) · Depression and Anxiety · doi:10.1002/da.22557 · Cited by 36
Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies
Hattab, M. W., Shabalin, A. A., Clark, S. L., Zhao, M., Kumar, G., Chan, R. F., Xie, L. Y., Jansen, R., Han, L. K. M., Magnusson, P. K. E., et al. (2017) · Genome biology · doi:10.1186/s13059-017-1148-8 · Cited by 35
History of child maltreatment and telomere length in immune cell subsets: Associations with stress- and attachment-related hormones
Boeck, C., Krause, S., Karabatsiakis, A., Schury, K., Gündel, H., Waller, C., & Kolassa, I. (2017) · Development and Psychopathology · doi:10.1017/s0954579417001055 · Cited by 35
Simultaneous quantitative assessment of circulating cell-free mitochondrial and nuclear DNA by multiplex real-time PCR
Xia, P., Radpour, R., Zachariah, R., Fan, A. X., Kohler, C., Hahn, S., Holzgreve, W., & Zhong, X. Y. (2009) · Genetics and Molecular Biology · doi:10.1590/s1415-47572009000100003 · Cited by 34 · cited 1×
“Serum (post-coagulation fraction of whole blood) may contain substantially more ccf-mtDNA than plasma (liquid fraction collected with an anticoagulant) (Xia et al., 2009).”
Is the whole greater than the sum of the parts? Self-rated health and transdisciplinarity
Picard, M. A., Juster, R., & Sabiston, C. M. (2013) · Health · doi:10.4236/health.2013.512a004 · Cited by 34
BEclear: Batch Effect Detection and Adjustment in DNA Methylation Data
Akulenko, R., Merl, M., & Helms, V. (2016) · PLoS ONE · doi:10.1371/journal.pone.0159921 · Cited by 34 · cited 1×
“statistically correct for these prior to analyses (Akulenko et al., 2016; Price and Robinson, 2018).”
Leukocyte telomere length and epigenetic-based mortality risk score: associations with all-cause mortality among older adults
Gao, X., Zhang, Y., Mons, U., & Brenner, H. (2018) · Epigenetics · doi:10.1080/15592294.2018.1514853 · Cited by 34
Targeting the association between telomere length and immuno-cellular bioenergetics in female patients with Major Depressive Disorder
Boeck, C., Salinas-Manrique, J., Calzia, E., Radermacher, P., Arnim, C. A. F. V., Dietrich, D. E., Kolassa, I., & Karabatsiakis, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-26867-7 · Cited by 32
Effect of Ibuprofen on BrainAGE: A Randomized, Placebo-Controlled, Dose-Response Exploratory Study
Le, T. T., Kuplicki, R., Yeh, H., Aupperle, R. L., Khalsa, S. S., Simmons, W. K., & Paulus, M. P. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.05.002 · Cited by 32 · cited 1×
“It remains to be elucidated whether brain age is responsive to intervention, but a randomized controlled trial (RCT) showed that ibuprofen temporarily reduced brain-PAD by 1.1 years in healthy individuals, likely due to its acute anti-inflammatory effects (Le et al., 2018).”
Influential
Alterations of the serum N-glycan profile in female patients with Major Depressive Disorder
Boeck, C., Pfister, S., Bürkle, A., Vanhooren, V., Libert, C., Salinas-Manrique, J., Dietrich, D. E., Kolassa, I., & Karabatsiakis, A. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.02.082 · Cited by 30
The Influence of Daily Stress on Sedentary Behavior: Group and Person (N of 1) Level Results of a 1-Year Observational Study
Diaz, K. M., Thanataveerat, A., Parsons, F., Yoon, S., Cheung, Y. K., Alcántara, C., Duran, A. T., Ensari, I., Krupka, D. J., Schwartz, J. E., et al. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000610 · Cited by 28
Genetic disposition to inflammation and response to antidepressants in major depressive disorder
Zwicker, A., Fabbri, C., Rietschel, M., Hauser, J., Mors, O., Maier, W., Zobel, A., Farmer, A., Aitchison, K. J., McGuffin, P., et al. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.08.011 · Cited by 28 · cited 1×
“psychopathology, and treatment responsiveness has also been suggested (Zwicker et al., 2018).”
Modelling neuroanatomical variation during childhood and adolescence with neighbourhood-preserving embedding
Ball, G., Adamson, C. L., Beare, R. J., & Seal, M. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-18253-6 · Cited by 26 · cited 1×
“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.”
High levels of mitochondrial DNA are associated with adolescent brain structural hypoconnectivity and increased anxiety but not depression
Tymofiyeva, O., Henje, E., Ho, T. C., Connolly, C. G., Lindqvist, D., Wolkowitz, O. M., Lin, J., LeWinn, K. Z., Sacchet, M. D., Han, L. K. M., et al. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.02.024 · Cited by 24
565. Increased Plasma Levels of Circulating Cell-Free Mitochondrial DNS in Suicide Attempters - Associations with HPA-Axis Hyperactivity
Lindqvist, D., Fernström, J., Grudet, C., Ljunggren, L., Träskman‐Bendz, L., Ohlsson, L., & Westrin, Å. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.1173 · Cited by 21
Quantile causal mediation analysis allowing longitudinal data
Bind, M., VanderWeele, T. J., Schwartz, J. D., & Coull, B. A. (2017) · Statistics in Medicine · doi:10.1002/sim.7423 · Cited by 20 · cited 1×
“In cases where experimental demonstration is not possible, statistical methods such as causal inference (Bind et al., 2017) and genomic methods including Mendelian randomization (Burgess et al.”
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
Cole, J. H., Poudel, R. P. K., Tsagkrasoulis, D., et al. (2016) · UCL Discovery (University College London) · doi:10.48550/arxiv.1612.02572 · Cited by 20
Stress‐Generative Effects of Posttraumatic Stress Disorder: Transactional Associations Between Posttraumatic Stress Disorder and Stressful Life Events in a Longitudinal Sample
Maniates, H., Stoop, T. B., Miller, M. W., Halberstadt, L. J., & Wolf, E. J. (2018) · Journal of Traumatic Stress · doi:10.1002/jts.22269 · Cited by 19
Neuroimaging Studies Illustrate the Commonalities Between Ageing and Brain Diseases
Cole, J. H. (2018) · BioEssays · doi:10.1002/bies.201700221 · Cited by 18 · cited 2×
“Similarly, the downstream biological ramifications of different disorders also overlap, with alterations at the organs and systems level (e.g. brain aging patterns, Cole, 2018).”
Disentangling (Epi)Genetic and Environmental Contributions to the Mitochondrial 3243A>G Mutation Phenotype
Picard, M. A., & Hirano, M. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.1676 · Cited by 17 · cited 1×
“S ys te m at ic re vi ew s an d m et aan al yt ic st ud ie s ar e in di ca te d by † . between brain regions (Bender et al., 2006; Corral-Debrinski et al., 1992; Picard and Hirano, 2016) and even between cells of a given organ (Vincent et al., 2018).”
The informative error: A framework for the construction of individualized phenotypes
Hertel, J., Frenzel, S., König, J., Wittfeld, K., Fuellen, G., Holtfreter, B., Pietzner, M., Friedrich, N., Nauck, M. A., Völzke, H., et al. (2018) · Statistical Methods in Medical Research · doi:10.1177/0962280218759138 · Cited by 16
Understanding the Aging Process Using Epidemiologic Approaches
Sanders, J. L., Boudreau, R. M., Newman, A. B., Newman, A. B., & Newman, A. B. (2012) · Springer eBooks · doi:10.1007/978-94-007-5061-6_12 · Cited by 15 · cited 1×
“absolute levels, change, variability), the “recipe” of which may vary between individuals (Sanders et al., 2012).”
ENIGMA: crowdsourcing meets neuroscience
Mohammadi, D. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00005-8 · Cited by 11 · cited 1×
“data may be available through crowdsourcing, a data collection process with remarkable scalability that may enable identification of robust small effect size effects (Mohammadi, 2015).”
Influence of T1-Weighted Signal Intensity on FSL Voxel-Based Morphometry and FreeSurfer Cortical Thickness
Chung, S., Wang, X. H., & Lui, Y. W. (2016) · American Journal of Neuroradiology · doi:10.3174/ajnr.a5053 · Cited by 10 · cited 1×
“Voxel-based morphometry and surface-based analysis are two commonly used image preprocessing techniques, which may yield divergent results (Chung et al., 2017; Clarkson et al., 2011).”
Gestational age Predicted By Dna Methylation: Potential Clinical and Research Utility
Knight, A. K., Conneely, K. N., & Smith, A. K. (2017) · Epigenomics · doi:10.2217/epi-2016-0157 · Cited by 9 · cited 2×
“, 2014), neonatal cord blood and blood spots (Knight et al., 2017), and skin and blood cells (Horvath et al.”
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
Response to: Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies
McGregor, K., Labbe, A., & Greenwood, C. M. T. (2017) · Genome biology · doi:10.1186/s13059-017-1149-7 · Cited by 5
Non-Dynamic Association of Depressive and Anxiety Disorders With Leukocyte Telomere Length?
Susser, E., Verhulst, S., Kark, J. D., Factor-Litvak, P. R., Keyes, K. M., Magnus, P. M., & Aviv, A. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16060747 · Cited by 2 · cited 1×
“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).”
Cell-type-specific methylome-wide association studies implicate neurodegenerative processes and neuroimmune communication in major depressive disorderPreprint
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. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/432088 · Cited by 1

Flagged first, then by citations

Research works printed but not linked: 1

Cawthon, 2002, 30, 1

Sorted by citations

A systematic review of biological, social and environmental factors associated with epigenetic clock acceleration
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 610
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
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
Biological factors influencing depression in later life: role of aging processes and treatment implications
Szymkowicz, S. M., Gerlach, A., Homiack, D., & Taylor, W. D. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02464-9 · Cited by 227
“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].”
Background
Childhood Trauma in Adult Depressive and Anxiety Disorders: An Integrated Review on Psychological and Biological Mechanisms in the NESDA Cohort
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
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 all 104

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: Han, Laura K.M.
Verhoeven, Josine E.
Tyrka, Audrey R.
Penninx, Brenda W.J.H.
Wolkowitz, Owen M.
Månsson, Kristoffer N.T.
Lindqvist, Daniel
Boks, Marco P.
Révész, Dóra
Mellon, Synthia H.
Picard, Martin
Venue: Psychoneuroendocrinology
Publisher: Elsevier BV
Published: 2019-08
Volume: 106
Pages: 293-311
ISSN: 0306-4530 (ISSN-L)
DOI: 10.1016/j.psyneuen.2019.04.004
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
FWCI: 0.93
Type: journal article
Language: en
Open access: green
pure.amsterdamumc.nl
Licence: other-oa
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
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 › Developmental and Educational Psychology › Aging and Gerontology Research
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › 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

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

Accelerating research on biological aging and mental health: Current challenges and future directions.

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks