{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T02:22:09Z","timestamp":1793672529802,"version":"4.5.1"},"reference-count":65,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,6,5]],"date-time":"2021-06-05T00:00:00Z","timestamp":1622851200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,6,5]],"date-time":"2021-06-05T00:00:00Z","timestamp":1622851200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Transl Psychiatry"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Electroconvulsive therapy (ECT) is a quick-acting and powerful antidepressant treatment considered to be effective in treating severe and pharmacotherapy-resistant forms of depression. Recent studies have suggested that epigenetic mechanisms can mediate treatment response and investigations about the relationship between the effects of ECT and DNA methylation have so far largely taken candidate approaches. In the present study, we examined the effects of ECT on the methylome associated with response in depressed patients (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200934), testing for differentially methylated CpG sites before the first and after the last ECT treatment. We identified one differentially methylated CpG site associated with the effect of ECT response (defined as &gt;50% decrease in Hamilton Depression Rating Scale score, HDRS),\n                    <jats:italic>TNKS<\/jats:italic>\n                    (\n                    <jats:italic>q<\/jats:italic>\n                    \u2009&lt;\u20090.05;\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20097.15\u2009\u00d7\u200910\n                    <jats:sup>\u22128<\/jats:sup>\n                    ). When defining response continuously (\u0394HDRS), the top suggestive differentially methylated CpG site was in\n                    <jats:italic>FKBP5<\/jats:italic>\n                    (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20093.94\u2009\u00d7\u200910\n                    <jats:sup>\u22127<\/jats:sup>\n                    ). Regional analyses identified two differentially methylated regions on chromosomes 8 (\u0160\u00edd\u00e1k\u2019s\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.0031) and 20 (\u0160\u00edd\u00e1k\u2019s\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20094.2\u2009\u00d7\u200910\n                    <jats:sup>\u22125<\/jats:sup>\n                    ) associated with \u0394HDRS. Functional pathway analysis did not identify any significant pathways. A confirmatory look at candidates previously proposed to be involved in ECT mechanisms found CpG sites associated with response only at the nominally significant level (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.05). Despite the limited sample size, the present study was able to identify epigenetic change associated with ECT response suggesting that this approach, especially when involving larger samples, has the potential to inform the study of mechanisms involved in ECT and severe and treatment-resistant depression.\n                  <\/jats:p>","DOI":"10.1038\/s41398-021-01474-9","type":"journal-article","created":{"date-parts":[[2021,6,5]],"date-time":"2021-06-05T03:05:33Z","timestamp":1622862333000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Methylome-wide change associated with response to electroconvulsive therapy in depressed patients"],"prefix":"10.1038","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7989-5833","authenticated-orcid":false,"given":"Lea","family":"Sirignano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4867-9465","authenticated-orcid":false,"given":"Josef","family":"Frank","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8414-0910","authenticated-orcid":false,"given":"Laura","family":"Kranaster","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1571-1468","authenticated-orcid":false,"given":"Stephanie H.","family":"Witt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1080-4339","authenticated-orcid":false,"given":"Fabian","family":"Streit","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lea","family":"Zillich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Sartorius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5236-6149","authenticated-orcid":false,"given":"Marcella","family":"Rietschel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1067-5725","authenticated-orcid":false,"given":"Jerome C.","family":"Foo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,6,5]]},"reference":[{"key":"1474_CR1","unstructured":"World Health Organization. Depression and Other Common Mental Disorders: Global Health Estimates, 2017 (WHO, accessed 11 February 2021); https:\/\/apps.who.int\/iris\/bitstream\/handle\/10665\/254610\/WHO-MSD-MER-2017.2-eng.pdf?sequence=1."},{"key":"1474_CR2","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1038\/nature07455","volume":"455","author":"V Krishnan","year":"2008","unstructured":"Krishnan, V. & Nestler, E. J. The molecular neurobiology of depression. Nature 455, 894\u2013902 (2008).","journal-title":"Nature"},{"key":"1474_CR3","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1176\/appi.ajp.159.2.331","volume":"159","author":"R Jaffe","year":"2002","unstructured":"Jaffe, R. The practice of electroconvulsive therapy: recommendations for treatment, training, and privileging: a task force report of the American Psychiatric Association. Am. J. Psychiatry 159, 331 (2002).","journal-title":"Am. J. Psychiatry"},{"key":"1474_CR4","doi-asserted-by":"publisher","first-page":"210","DOI":"10.9758\/cpn.2017.15.3.210","volume":"15","author":"A Singh","year":"2017","unstructured":"Singh, A. & Kar, S. K. How electroconvulsive therapy works? Understanding the neurobiological mechanisms. Clin. Psychopharmacol. Neurosci. 15, 210\u2013221 (2017).","journal-title":"Clin. Psychopharmacol. Neurosci."},{"key":"1474_CR5","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1038\/nrg3230","volume":"13","author":"PA Jones","year":"2012","unstructured":"Jones, P. A. Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat. Rev. Genet. 13, 484\u2013492 (2012).","journal-title":"Nat. Rev. Genet."},{"key":"1474_CR6","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1038\/nature07107","volume":"454","author":"A Meissner","year":"2008","unstructured":"Meissner, A. et al. Genome-scale DNA methylation maps of pluripotent and differentiated cells. Nature 454, 766\u2013770 (2008).","journal-title":"Nature"},{"key":"1474_CR7","doi-asserted-by":"publisher","first-page":"826","DOI":"10.3390\/ijms21030826","volume":"21","author":"LM Webb","year":"2020","unstructured":"Webb, L.M., Phillips, K.E., Ho, M.C., Veldic, M. & Blacker, C.J. The relationship between DNA methylation and antidepressant medications: a systematic review.Int. J. Mol. Sci. 21, 826 (2020).","journal-title":"Int. J. Mol. Sci."},{"key":"1474_CR8","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.jocn.2017.05.022","volume":"43","author":"D Chen","year":"2017","unstructured":"Chen, D., Meng, L., Pei, F., Zheng, Y. & Leng, J. A review of DNA methylation in depression. J. Clin. Neurosci. 43, 39\u201346 (2017).","journal-title":"J. Clin. Neurosci."},{"key":"1474_CR9","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.neulet.2016.12.071","volume":"669","author":"AJ Lisoway","year":"2018","unstructured":"Lisoway, A. J., Zai, C. C., Tiwari, A. K. & Kennedy, J. L. DNA methylation and clinical response to antidepressant medication in major depressive disorder: a review and recommendations. Neurosci. Lett. 669, 14\u201323 (2018).","journal-title":"Neurosci. Lett."},{"key":"1474_CR10","doi-asserted-by":"publisher","first-page":"5879","DOI":"10.2174\/138161212803523590","volume":"18","author":"A Menke","year":"2012","unstructured":"Menke, A., Klengel, T. & Binder, E. B. Epigenetics, depression and antidepressant treatment. Curr. Pharm. Des. 18, 5879\u20135889 (2012).","journal-title":"Curr. Pharm. Des."},{"key":"1474_CR11","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1002\/ajmg.b.32700","volume":"180","author":"JC Foo","year":"2019","unstructured":"Foo, J. C. et al. Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy. Am. J. Med. Genet. B. Neuropsychiatr. Genet. 180, 35\u201345 (2019).","journal-title":"Am. J. Med. Genet. B. Neuropsychiatr. Genet."},{"key":"1474_CR12","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-017-0077-3","volume":"8","author":"A Neyazi","year":"2018","unstructured":"Neyazi, A. et al. P11 promoter methylation predicts the antidepressant effect of electroconvulsive therapy. Transl. Psychiatry 8, 25 (2018).","journal-title":"Transl. Psychiatry"},{"key":"1474_CR13","doi-asserted-by":"publisher","first-page":"2195","DOI":"10.1007\/s00213-018-4950-4","volume":"235","author":"M Levy","year":"2018","unstructured":"Levy, M. et al. Neurotrophic factors and neuroplasticity pathways in the pathophysiology and treatment of depression. Psychopharmacology 235, 2195\u20132220 (2018).","journal-title":"Psychopharmacology"},{"key":"1474_CR14","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1038\/sj.npp.1301574","volume":"33","author":"C Pittenger","year":"2008","unstructured":"Pittenger, C. & Duman, R. S. Stress, depression, and neuroplasticity: a convergence of mechanisms. Neuropsychopharmacology 33, 88\u2013109 (2008).","journal-title":"Neuropsychopharmacology"},{"key":"1474_CR15","doi-asserted-by":"publisher","DOI":"10.1186\/s12993-016-0101-4","volume":"12","author":"GY Zheleznyakova","year":"2016","unstructured":"Zheleznyakova, G. Y., Cao, H. & Schioth, H. B. BDNF DNA methylation changes as a biomarker of psychiatric disorders: literature review and open access database analysis. Behav. Brain Funct. 12, 17 (2016).","journal-title":"Behav. Brain Funct."},{"key":"1474_CR16","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1038\/mp.2013.58","volume":"19","author":"A Tadic","year":"2014","unstructured":"Tadic, A. et al. Methylation of the promoter of brain-derived neurotrophic factor exon IV and antidepressant response in major depression. Mol. Psychiatry 19, 281\u2013283 (2014).","journal-title":"Mol. Psychiatry"},{"key":"1474_CR17","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1055\/s-0029-1224162","volume":"42","author":"A Sartorius","year":"2009","unstructured":"Sartorius, A. et al. Correlations and discrepancies between serum and brain tissue levels of neurotrophins after electroconvulsive treatment in rats. Pharmacopsychiatry 42, 270\u2013276 (2009).","journal-title":"Pharmacopsychiatry"},{"key":"1474_CR18","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1007\/s00702-014-1336-6","volume":"122","author":"A Kleimann","year":"2014","unstructured":"Kleimann, A. et al. BDNF serum levels and promoter methylation of BDNF exon I, IV and VI in depressed patients receiving electroconvulsive therapy. J. Neural Transm. 122, 925\u2013928 (2014).","journal-title":"J. Neural Transm."},{"key":"1474_CR19","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1016\/j.euroneuro.2012.10.012","volume":"23","author":"V Stelzhammer","year":"2013","unstructured":"Stelzhammer, V. et al. Electroconvulsive therapy exerts mainly acute molecular changes in serum of major depressive disorder patients. Eur. Neuropsychopharmacol. 23, 1199\u20131207 (2013).","journal-title":"Eur. Neuropsychopharmacol."},{"key":"1474_CR20","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.jpsychires.2016.08.004","volume":"83","author":"RB Rocha","year":"2016","unstructured":"Rocha, R. B. et al. Increased BDNF levels after electroconvulsive therapy in patients with major depressive disorder: a meta-analysis study. J. Psychiatr. Res. 83, 47\u201353 (2016).","journal-title":"J. Psychiatr. Res."},{"key":"1474_CR21","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-019-0491-9","volume":"9","author":"EM van Zutphen","year":"2019","unstructured":"van Zutphen, E. M. et al. Brain-derived neurotrophic factor as a possible predictor of electroconvulsive therapy outcome. Transl. Psychiatry 9, 155 (2019).","journal-title":"Transl. Psychiatry"},{"key":"1474_CR22","doi-asserted-by":"publisher","DOI":"10.1186\/s13148-020-00891-9","volume":"12","author":"N Moschny","year":"2020","unstructured":"Moschny, N. et al. Novel candidate genes for ECT response prediction - a pilot study analyzing the DNA methylome of depressed patients receiving electroconvulsive therapy. Clin. Epigenetics 12, 114 (2020).","journal-title":"Clin. Epigenetics"},{"key":"1474_CR23","doi-asserted-by":"publisher","DOI":"10.1186\/s13073-019-0704-0","volume":"11","author":"F Rijo-Ferreira","year":"2019","unstructured":"Rijo-Ferreira, F. & Takahashi, J. S. Genomics of circadian rhythms in health and disease. Genome Med. 11, 82 (2019).","journal-title":"Genome Med."},{"key":"1474_CR24","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/s12264-014-1495-3","volume":"31","author":"C Liu","year":"2015","unstructured":"Liu, C. & Chung, M. Genetics and epigenetics of circadian rhythms and their potential roles in neuropsychiatric disorders. Neurosci. Bull. 31, 141\u2013159 (2015).","journal-title":"Neurosci. Bull."},{"key":"1474_CR25","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/s00406-013-0420-5","volume":"264","author":"C Hoyer","year":"2014","unstructured":"Hoyer, C., Kranaster, L., Janke, C. & Sartorius, A. Impact of the anesthetic agents ketamine, etomidate, thiopental, and propofol on seizure parameters and seizure quality in electroconvulsive therapy: a retrospective study. Eur. Arch. Psychiatry Clin. Neurosci. 264, 255\u2013261 (2014).","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci."},{"key":"1474_CR26","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1007\/s00406-011-0205-7","volume":"261","author":"L Kranaster","year":"2011","unstructured":"Kranaster, L., Kammerer-Ciernioch, J., Hoyer, C. & Sartorius, A. Clinically favourable effects of ketamine as an anaesthetic for electroconvulsive therapy: a retrospective study. Eur. Arch. Psychiatry Clin. Neurosci. 261, 575\u2013582 (2011).","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci."},{"key":"1474_CR27","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-015-0600-x","volume":"16","author":"B Lehne","year":"2015","unstructured":"Lehne, B. et al. A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies. Genome Biol. 16, 37 (2015).","journal-title":"Genome Biol."},{"key":"1474_CR28","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-13-86","volume":"13","author":"EA Houseman","year":"2012","unstructured":"Houseman, E. A. et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics 13, 86 (2012).","journal-title":"BMC Bioinformatics"},{"key":"1474_CR29","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-11-587","volume":"11","author":"P Du","year":"2010","unstructured":"Du, P. et al. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinformatics 11, 587 (2010).","journal-title":"BMC Bioinformatics"},{"key":"1474_CR30","doi-asserted-by":"publisher","first-page":"2986","DOI":"10.1093\/bioinformatics\/bts545","volume":"28","author":"BS Pedersen","year":"2012","unstructured":"Pedersen, B. S., Schwartz, D. A., Yang, I. V. & Kechris, K. J. Comb-p: software for combining, analyzing, grouping and correcting spatially correlated P-values. Bioinformatics 28, 2986\u20132988 (2012).","journal-title":"Bioinformatics"},{"key":"1474_CR31","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-020-0710-4","volume":"10","author":"MA Mooney","year":"2020","unstructured":"Mooney, M. A. et al. Large epigenome-wide association study of childhood ADHD identifies peripheral DNA methylation associated with disease and polygenic risk burden. Transl. Psychiatry 10, 8 (2020).","journal-title":"Transl. Psychiatry"},{"key":"1474_CR32","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-019-0407-8","volume":"9","author":"S Roberts","year":"2019","unstructured":"Roberts, S. et al. Longitudinal investigation of DNA methylation changes preceding adolescent psychotic experiences. Transl. Psychiatry 9, 69 (2019).","journal-title":"Transl. Psychiatry"},{"key":"1474_CR33","doi-asserted-by":"publisher","first-page":"2224","DOI":"10.1093\/bib\/bby085","volume":"20","author":"S Mallik","year":"2018","unstructured":"Mallik, S. et al. An evaluation of supervised methods for identifying differentially methylated regions in Illumina methylation arrays. Brief. Bioinform. 20, 2224\u20132235 (2018).","journal-title":"Brief. Bioinform."},{"key":"1474_CR34","unstructured":"GeneCards. TNKS Gene-GeneCards | TNKS1 Protein | TNKS1 Antibody (accessed 22 January 2021); https:\/\/www.genecards.org\/cgi-bin\/carddisp.pl?gene=TNKS."},{"key":"1474_CR35","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1097\/PSY.0000000000000356","volume":"78","author":"SM Darrow","year":"2016","unstructured":"Darrow, S. M. et al. The association between psychiatric disorders and telomere length: a meta-analysis involving 14,827 persons. Psychosom. Med. 78, 776\u2013787 (2016).","journal-title":"Psychosom. Med."},{"key":"1474_CR36","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.jad.2015.11.052","volume":"191","author":"KK Ridout","year":"2016","unstructured":"Ridout, K. K., Ridout, S. J., Price, L. H., Sen, S. & Tyrka, A. R. Depression and telomere length: a meta-analysis. J. Affect. Disord. 191, 237\u2013247 (2016).","journal-title":"J. Affect. Disord."},{"key":"1474_CR37","doi-asserted-by":"publisher","first-page":"1364","DOI":"10.1016\/j.jaac.2019.09.031","volume":"59","author":"KL Humphreys","year":"2020","unstructured":"Humphreys, K. L., Sisk, L. M., Manczak, E. M., Lin, J. & Gotlib, I. H. Depressive symptoms predict change in telomere length and mitochondrial DNA copy number across adolescence. J. Am. Acad. Child Adolesc. Psychiatry 59, 1364\u20131370 (2020).","journal-title":"J. Am. Acad. Child Adolesc. Psychiatry"},{"key":"1474_CR38","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-08259-7","volume":"10","author":"SE Jones","year":"2019","unstructured":"Jones, S. E. et al. Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms. Nat. Commun. 10, 343 (2019).","journal-title":"Nat. Commun."},{"key":"1474_CR39","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1038\/s41588-019-0397-8","volume":"51","author":"EA Stahl","year":"2019","unstructured":"Stahl, E. A. et al. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nat. Genet. 51, 793\u2013803 (2019).","journal-title":"Nat. Genet."},{"key":"1474_CR40","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1038\/s41588-018-0320-8","volume":"51","author":"BM Baselmans","year":"2019","unstructured":"Baselmans, B. M. et al. Multivariate genome-wide analyses of the well-being spectrum. Nat. Genet. 51, 445\u2013451 (2019).","journal-title":"Nat. Genet."},{"key":"1474_CR41","unstructured":"GeneCards. RAB21 Gene-Genecards | RAB21 Protein | RAB21 Antibody (accessed 22 January 2021); https:\/\/www.genecards.org\/cgi-bin\/carddisp.pl?gene=RAB21&keywords=RAB21."},{"key":"1474_CR42","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.jgg.2017.11.007","volume":"45","author":"C Song","year":"2018","unstructured":"Song, C. et al. AQR is a novel type 2 diabetes-associated gene that regulates signaling pathways critical for glucose metabolism. J. Genet. Genom. 45, 111\u2013120 (2018).","journal-title":"J. Genet. Genom."},{"key":"1474_CR43","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1038\/tpj.2012.32","volume":"13","author":"Y Ji","year":"2013","unstructured":"Ji, Y. et al. Pharmacogenomics of selective serotonin reuptake inhibitor treatment for major depressive disorder: genome-wide associations and functional genomics. Pharmacogenomics J. 13, 456\u2013463 (2013).","journal-title":"Pharmacogenomics J."},{"key":"1474_CR44","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-03242-8","volume":"9","author":"M Nagel","year":"2018","unstructured":"Nagel, M., Watanabe, K., Stringer, S., Posthuma, D. & van der Sluis, S. Item-level analyses reveal genetic heterogeneity in neuroticism. Nat. Commun. 9, 905 (2018).","journal-title":"Nat. Commun."},{"key":"1474_CR45","unstructured":"GeneCards. RAPGEF2 Gene-Genecards | RPGF2 Protein | RPGF2 Antibody (accessed 22 January 2021); https:\/\/www.genecards.org\/cgi-bin\/carddisp.pl?gene=RAPGEF2&keywords=RAPGEF2."},{"key":"1474_CR46","doi-asserted-by":"publisher","first-page":"e1251873","DOI":"10.1080\/23262133.2016.1251873","volume":"3","author":"J Han","year":"2016","unstructured":"Han, J. & Gage, F.H. A role for miR-19 in the migration of adult-born neurons and schizophrenia.Neurogenesis 3, e1251873 (2016).","journal-title":"Neurogenesis"},{"key":"1474_CR47","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.biopsych.2014.05.015","volume":"77","author":"KA Garbett","year":"2015","unstructured":"Garbett, K. A. et al. Coordinated messenger RNA\/microRNA changes in fibroblasts of patients with major depression. Biol. Psychiatry 77, 256\u2013265 (2015).","journal-title":"Biol. Psychiatry"},{"key":"1474_CR48","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1038\/mp.2009.2","volume":"14","author":"R Tabares-Seisdedos","year":"2009","unstructured":"Tabares-Seisdedos, R. & Rubenstein, J. L. Chromosome 8p as a potential hub for developmental neuropsychiatric disorders: implications for schizophrenia, autism and cancer. Mol. Psychiatry 14, 563\u2013589 (2009).","journal-title":"Mol. Psychiatry"},{"key":"1474_CR49","doi-asserted-by":"publisher","first-page":"e11324","DOI":"10.7554\/eLife.11324","volume":"5","author":"W Zhang","year":"2016","unstructured":"Zhang, W. et al. MiRNA-128 regulates the proliferation and neurogenesis of neural precursors by targeting PCM1 in the developing cortex. eLife 5, e11324 (2016).","journal-title":"eLife"},{"key":"1474_CR50","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.psyneuen.2009.05.021","volume":"34","author":"EB Binder","year":"2009","unstructured":"Binder, E. B. The role of FKBP5, a co-chaperone of the glucocorticoid receptor in the pathogenesis and therapy of affective and anxiety disorders. Psychoneuroendocrinology 34, 186\u2013195 (2009).","journal-title":"Psychoneuroendocrinology"},{"key":"1474_CR51","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1038\/nn.3275","volume":"16","author":"T Klengel","year":"2013","unstructured":"Klengel, T. et al. Allele-specific FKBP5 DNA demethylation mediates gene-childhood trauma interactions. Nat. Neurosci. 16, 33\u201341 (2013).","journal-title":"Nat. Neurosci."},{"key":"1474_CR52","doi-asserted-by":"publisher","first-page":"11370","DOI":"10.1073\/pnas.1816847116","volume":"116","author":"AS Zannas","year":"2019","unstructured":"Zannas, A. S. et al. Epigenetic upregulation of FKBP5 by aging and stress contributes to NF-kappaB-driven inflammation and cardiovascular risk. Proc. Natl Acad. Sci. USA 116, 11370\u201311379 (2019).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"1474_CR53","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1038\/npp.2015.235","volume":"41","author":"AS Zannas","year":"2016","unstructured":"Zannas, A. S., Wiechmann, T., Gassen, N. C. & Binder, E. B. Gene-stress-epigenetic regulation of FKBP5: clinical and translational implications. Neuropsychopharmacology 41, 261\u2013274 (2016).","journal-title":"Neuropsychopharmacology"},{"key":"1474_CR54","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.biopsych.2017.08.008","volume":"83","author":"E Scifo","year":"2018","unstructured":"Scifo, E. et al. Sustained molecular pathology across episodes and remission in major depressive disorder. Biol. Psychiatry 83, 81\u201389 (2018).","journal-title":"Biol. Psychiatry"},{"key":"1474_CR55","doi-asserted-by":"publisher","first-page":"22","DOI":"10.3389\/fnsyn.2018.00022","volume":"10","author":"J Khlghatyan","year":"2018","unstructured":"Khlghatyan, J. & Beaulieu, J. M. Are FXR family proteins integrators of dopamine signaling and glutamatergic neurotransmission in mental illnesses? Front. Synaptic Neurosci. 10, 22 (2018).","journal-title":"Front. Synaptic Neurosci."},{"key":"1474_CR56","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1016\/j.bbrc.2018.12.177","volume":"509","author":"Y Zhang","year":"2019","unstructured":"Zhang, Y. et al. Long non-coding RNA FAM84B-AS promotes resistance of gastric cancer to platinum drugs through inhibition of FAM84B expression. Biochem. Biophys. Res. Commun. 509, 753\u2013762 (2019).","journal-title":"Biochem. Biophys. Res. Commun."},{"key":"1474_CR57","doi-asserted-by":"publisher","first-page":"19218","DOI":"10.18632\/oncotarget.15168","volume":"8","author":"N Wong","year":"2017","unstructured":"Wong, N. et al. Upregulation of FAM84B during prostate cancer progression. Oncotarget 8, 19218\u201319235 (2017).","journal-title":"Oncotarget"},{"key":"1474_CR58","doi-asserted-by":"publisher","first-page":"1430","DOI":"10.1038\/s41380-019-0546-6","volume":"25","author":"JRI Coleman","year":"2020","unstructured":"Coleman, J. R. I. et al. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank. Mol. Psychiatry 25, 1430\u20131446 (2020).","journal-title":"Mol. Psychiatry"},{"key":"1474_CR59","unstructured":"NCBI. BLCAP BLCAP Apoptosis Inducing Factor \u2013 Gene (accessed 22 January 2021); https:\/\/www.ncbi.nlm.nih.gov\/gene\/10904."},{"key":"1474_CR60","unstructured":"NCBI. NNAT Neuronatin-Gene (accessed 22 Jan 2021); https:\/\/www.ncbi.nlm.nih.gov\/gene\/4826."},{"key":"1474_CR61","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.brainres.2012.10.052","volume":"1491","author":"K Nakamura","year":"2013","unstructured":"Nakamura, K. et al. Effects of single and repeated electroconvulsive stimulation on hippocampal cell proliferation and spontaneous behaviors in the rat. Brain Res. 1491, 88\u201397 (2013).","journal-title":"Brain Res."},{"key":"1474_CR62","doi-asserted-by":"publisher","first-page":"e609","DOI":"10.1038\/tp.2015.100","volume":"5","author":"EM van Buel","year":"2015","unstructured":"van Buel, E.M. et al. Immune and neurotrophin stimulation by electroconvulsive therapy: is some inflammation needed after all?. Transl. Psychiatry 5, e609 (2015).","journal-title":"Transl. Psychiatry"},{"key":"1474_CR63","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1080\/15622975.2019.1618494","volume":"21","author":"S Mindt","year":"2019","unstructured":"Mindt, S., Neumaier, M., Hoyer, C., Sartorius, A. & Kranaster, L. Cytokine-mediated cellular immune activation in electroconvulsive therapy: a CSF study in patients with treatment-resistant depression. World J. Biol. Psychiatry 21, 139\u2013147 (2019).","journal-title":"World J. Biol. Psychiatry"},{"key":"1474_CR64","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/j.jaac.2013.12.025","volume":"53","author":"N Weder","year":"2014","unstructured":"Weder, N. et al. Child abuse, depression, and methylation in genes involved with stress, neural plasticity, and brain circuitry. J. Am. Acad. Child. Adolesc. Psychiatry 53, 417\u2013424 (2014).","journal-title":"J. Am. Acad. Child. Adolesc. Psychiatry"},{"key":"1474_CR65","doi-asserted-by":"publisher","first-page":"1024","DOI":"10.1080\/15592294.2015.1100786","volume":"10","author":"E Hannon","year":"2015","unstructured":"Hannon, E., Lunnon, K., Schalkwyk, L. & Mill, J. Interindividual methylomic variation across blood, cortex, and cerebellum: implications for epigenetic studies of neurological and neuropsychiatric phenotypes. Epigenetics 10, 1024\u20131032 (2015).","journal-title":"Epigenetics"}],"container-title":["Translational Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41398-021-01474-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-021-01474-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41398-021-01474-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T08:17:59Z","timestamp":1669882679000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41398-021-01474-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,5]]},"references-count":65,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["1474"],"URL":"https:\/\/doi.org\/10.1038\/s41398-021-01474-9","relation":{},"ISSN":["2158-3188"],"issn-type":[{"value":"2158-3188","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,5]]},"assertion":[{"value":"30 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 May 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"347"}}