Genetics, epigenetics, and neurobiology of childhood-onset depression: an umbrella review.
Journal
Molecular psychiatry
ISSN: 1476-5578
Titre abrégé: Mol Psychiatry
Pays: England
ID NLM: 9607835
Informations de publication
Date de publication:
15 Dec 2023
15 Dec 2023
Historique:
received:
16
05
2023
accepted:
27
11
2023
revised:
21
11
2023
medline:
16
12
2023
pubmed:
16
12
2023
entrez:
15
12
2023
Statut:
aheadofprint
Résumé
Depression is a serious and persistent psychiatric disorder that commonly first manifests during childhood. Depression that starts in childhood is increasing in frequency, likely due both to evolutionary trends and to increased recognition of the disorder. In this umbrella review, we systematically searched the extant literature for genetic, epigenetic, and neurobiological factors that contribute to a childhood onset of depression. We searched PubMed, EMBASE, OVID/PsychInfo, and Google Scholar with the following inclusion criteria: (1) systematic review or meta-analysis from a peer-reviewed journal; (2) inclusion of a measure assessing early age of onset of depression; and (3) assessment of neurobiological, genetic, environmental, and epigenetic predictors of early onset depression. Findings from 89 systematic reviews of moderate to high quality suggest that childhood-onset depressive disorders have neurobiological, genetic, environmental, and epigenetic roots consistent with a diathesis-stress theory of depression. This review identified key putative markers that may be targeted for personalized clinical decision-making and provide important insights concerning candidate mechanisms that might underpin the early onset of depression.
Identifiants
pubmed: 38102485
doi: 10.1038/s41380-023-02347-x
pii: 10.1038/s41380-023-02347-x
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R01MH106581
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : R37MH101495
Organisme : National Science Foundation (NSF)
ID : DGE-213989
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature Limited.
Références
Daly M. Prevalence of depression among adolescents in the U.S. from 2009 to 2019: analysis of trends by sex, race/ethnicity, and income. J Adolesc Health. 2022;70:496–9.
pubmed: 34663534
doi: 10.1016/j.jadohealth.2021.08.026
Strakowski SM, editor. The bipolar brain: integrating neuroimaging with genetics. New York: Oxford University Press; 2012.
Gotlib IH, Ordaz SJ. The importance of assessing neural trajectories in pediatric depression. JAMA Psychiatry. 2016;73:9–10.
pubmed: 26676653
pmcid: 5522740
doi: 10.1001/jamapsychiatry.2015.2453
McGrath JJ, Al-Hamzawi A, Alonso J, Altwaijri Y, Andrade LH, Bromet EJ, et al. Age of onset and cumulative risk of mental disorders: a cross-national analysis of population surveys from 29 countries. Lancet Psychiatry. 2023:S2215-0366 00193–1.
Centers for Disease Control and Prevention. CDC/National Center for Health Statistics. 2017. https://www.cdc.gov/datastatistics/index.html .
Rao U, Weissman MM, Martin JA, Hammond RW. Childhood depression and risk of suicide: a preliminary report of a longitudinal study. J Am Acad Child Adolesc Psychiatry. 1993;32:21–7.
pubmed: 8428874
doi: 10.1097/00004583-199301000-00004
Axelson D, Birmaher B, Strober M, Gill MK, Valeri S, Chiappetta L, et al. Phenomenology of children and adolescents with bipolar spectrum disorders. Arch Gen Psychiatry. 2006;63:1139–48.
pubmed: 17015816
doi: 10.1001/archpsyc.63.10.1139
Strawn JR, Adler CM, Fleck DE, Hanseman D, Maue DK, Bitter S, et al. Post-traumatic stress symptoms and trauma exposure in youth with first episode bipolar disorder. Early Inter Psychiatry. 2010;4:169–73.
doi: 10.1111/j.1751-7893.2010.00173.x
Rao U, Chen L-A, Bidesi AS, Shad MU, Thomas MA, Hammen CL. Hippocampal changes associated with early-life adversity and vulnerability to depression. Biol Psychiatry. 2010;67:357–64.
pubmed: 20015483
doi: 10.1016/j.biopsych.2009.10.017
LeMoult J, Humphreys KL, Tracy A, Hoffmeister J-A, Ip E, Gotlib IH. Meta-analysis: exposure to early life stress and risk for depression in childhood and adolescence. J Am Acad Child Adolesc Psychiatry. 2020;59:842–55.
pubmed: 31676392
doi: 10.1016/j.jaac.2019.10.011
Wiersma JE, Hovens JGFM, van Oppen P, Giltay EJ, van Schaik DJF, Beekman ATF, et al. The importance of childhood trauma and childhood life events for chronicity of depression in adults. J Clin Psychiatry. 2009;70:983–9.
pubmed: 19653975
doi: 10.4088/JCP.08m04521
Strawn JR, Mills JA, Suresh V, Mayes T, Gentry MT, Trivedi M, et al. The impact of age on antidepressant response: a mega-analysis of individuals with major depressive disorder. J Psychiatr Res. 2023;159:266–73.
pubmed: 36774767
doi: 10.1016/j.jpsychires.2023.01.043
Verboom CE, Sijtsema JJ, Verhulst FC, Penninx BWJH, Ormel J. Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls. Dev Psychol. 2014;50:247–57.
pubmed: 23566082
doi: 10.1037/a0032547
Weersing VR, Shamseddeen W, Garber J, Hollon SD, Clarke GN, Beardslee WR, et al. Prevention of depression in at-risk adolescents: predictors and moderators of acute effects. J Am Acad Child Adolesc Psychiatry. 2016;55:219–26.
pubmed: 26903255
pmcid: 4783159
doi: 10.1016/j.jaac.2015.12.015
Kendler KS, Gatz M, Gardner CO, Pedersen NL. Age at onset and familial risk for major depression in a Swedish national twin sample. Psychol Med. 2005;35:1573–9.
pubmed: 16219115
doi: 10.1017/S0033291705005714
Gronemann FH, Jacobsen RK, Wium-Andersen MK, Jørgensen MB, Osler M, Jørgensen TSH. Association of familial aggregation of major depression with risk of major depression. JAMA Psychiatry. 2023;80:350–9.
pubmed: 36753297
doi: 10.1001/jamapsychiatry.2022.4965
Harder A, Nguyen T-D, Pasman JA, Mosing MA, Hägg S, Lu Y. Genetics of age-at-onset in major depression. Transl Psychiatry. 2022;12:124.
pubmed: 35347114
pmcid: 8960842
doi: 10.1038/s41398-022-01888-z
Walter HJ, Abright AR, Bukstein OG, Diamond J, Keable H, Ripperger-Suhler J, et al. Clinical practice guideline for the assessment and treatment of children and adolescents with major and persistent depressive disorders. J Am Acad Child Adolesc Psychiatry. 2023;62:479–502.
pubmed: 36273673
doi: 10.1016/j.jaac.2022.10.001
Kaufman J, Martin A, King RA, Charney D. Are child-, adolescent-, and adult-onset depression one and the same disorder? Biol Psychiatry. 2001;49:980–1001.
pubmed: 11430841
doi: 10.1016/S0006-3223(01)01127-1
Colodro-Conde L, Couvy-Duchesne B, Zhu G, Coventry WL, Byrne EM, Gordon S, et al. A direct test of the diathesis-stress model for depression. Mol Psychiatry. 2018;23:1590–6.
pubmed: 28696435
doi: 10.1038/mp.2017.130
Zisook S, Lesser I, Stewart JW, Wisniewski SR, Balasubramani GK, Fava M, et al. Effect of age at onset on the course of major depressive disorder. Am J Psychiatry. 2007;164:1539–46.
pubmed: 17898345
doi: 10.1176/appi.ajp.2007.06101757
Schmaal L, Veltman DJ, van Erp TGM, Sämann PG, Frodl T, Jahanshad N, et al. Subcortical brain alterations in major depressive disorder: findings from the ENIGMA major depressive disorder working group. Mol Psychiatry. 2016;21:806–12.
pubmed: 26122586
doi: 10.1038/mp.2015.69
Colasanto M, Madigan S, Korczak DJ. Depression and inflammation among children and adolescents: a meta-analysis. J Affect Disord. 2020;277:940–8.
pubmed: 33065836
doi: 10.1016/j.jad.2020.09.025
Lamers F, Milaneschi Y, Smit JH, Schoevers RA, Wittenberg G, Penninx BWJH. Longitudinal association between depression and inflammatory markers: results from the netherlands study of depression and anxiety. Biol Psychiatry. 2019;85:829–37.
pubmed: 30819515
doi: 10.1016/j.biopsych.2018.12.020
Shi J, Potash JB, Knowles JA, Weissman MM, Coryell W, Scheftner WA, et al. Genome-wide association study of recurrent early-onset major depressive disorder. Mol Psychiatry. 2011;16:193–201.
pubmed: 20125088
doi: 10.1038/mp.2009.124
Kendler KS, Ohlsson H, Sundquist J, Sundquist K. Family genetic risk scores and the genetic architecture of major affective and psychotic disorders in a swedish national sample. JAMA Psychiatry. 2021;78:735–43.
pubmed: 33881469
doi: 10.1001/jamapsychiatry.2021.0336
Perret LC, Boivin M, Morneau-Vaillancourt G, Andlauer TFM, Paquin S, Langevin S, et al. Polygenic risk score and peer victimisation independently predict depressive symptoms in adolescence: results from the Quebec longitudinal study of children development. J Child Psychol Psychiatry. 2023;64:388–96.
pubmed: 36124742
doi: 10.1111/jcpp.13706
Border R, Johnson EC, Evans LM, Smolen A, Berley N, Sullivan PF, et al. No support for historical candidate gene or candidate gene-by-interaction hypotheses for major depression across multiple large samples. AJP. 2019;176:376–87.
doi: 10.1176/appi.ajp.2018.18070881
Kendler KS, Karkowski LM, Prescott CA. Causal relationship between stressful life events and the onset of major depression. Am J Psychiatry. 1999;156:837–41.
pubmed: 10360120
doi: 10.1176/ajp.156.6.837
Kendler KS, Baker JH. Genetic influences on measures of the environment: a systematic review. Psychol Med. 2007;37:615–26.
pubmed: 17176502
doi: 10.1017/S0033291706009524
Marx W, Lane M, Hockey M, Aslam H, Berk M, Walder K, et al. Diet and depression: exploring the biological mechanisms of action. Mol Psychiatry. 2021;26:134–50.
pubmed: 33144709
doi: 10.1038/s41380-020-00925-x
Rush AJ, Sackeim HA, Conway CR, Bunker MT, Hollon SD, Demyttenaere K, et al. Clinical research challenges posed by difficult-to-treat depression. Psychol Med. 2022;52:419–32.
pubmed: 34991768
pmcid: 8883824
doi: 10.1017/S0033291721004943
Roessner V. Large sample size in child and adolescent psychiatric research: the way of salvation? Eur Child Adolesc Psychiatry. 2014;23:1003–4.
pubmed: 25374035
doi: 10.1007/s00787-014-0635-7
Hoare E, Collins S, Marx W, Callaly E, Moxham-Smith R, Cuijpers P, et al. Universal depression prevention: an umbrella review of meta-analyses. J Psychiatr Res. 2021;144:483–93.
pubmed: 34768070
doi: 10.1016/j.jpsychires.2021.10.006
Feeney A, Hock RS, Fava M, Hernández Ortiz JM, Iovieno N, Papakostas GI. Antidepressants in children and adolescents with major depressive disorder and the influence of placebo response: a meta-analysis. J Affect Disord. 2022;305:55–64.
pubmed: 35247482
doi: 10.1016/j.jad.2022.02.074
Kraemer HC. Messages for clinicians: moderators and mediators of treatment outcome in randomized clinical trials. Am J Psychiatry. 2016;173:672–9.
pubmed: 26988629
doi: 10.1176/appi.ajp.2016.15101333
Essex MJ, Kraemer HC, Armstrong JM, Boyce WT, Goldsmith HH, Klein MH, et al. Exploring risk factors for the emergence of children’s mental health problems. Arch Gen Psychiatry. 2006;63:1246–56.
pubmed: 17088505
doi: 10.1001/archpsyc.63.11.1246
D’Angelo EJ, Augenstein TM. Developmentally informed evaluation of depression: evidence-based instruments. Child Adolesc Psychiatr Clin N. Am. 2012;21:279–98. viii
pubmed: 22537727
doi: 10.1016/j.chc.2011.12.003
Singh MK, editor. Clinical handbook for the diagnosis and treatment of pediatric mood disorders. First edition. Washington, D.C: American Psychiatric Association Publishing; 2019.
McInnis MG, McMahon FJ, Chase GA, Simpson SG, Ross CA, DePaulo JR. Anticipation in bipolar affective disorder. Am J Hum Genet. 1993;53:385–90.
pubmed: 8328456
pmcid: 1682370
Ellis BJ, Horn AJ, Carter CS, van IJzendoorn MH, Bakermans-Kranenburg MJ. Developmental programming of oxytocin through variation in early-life stress: four meta-analyses and a theoretical reinterpretation. Clin Psychol Rev. 2021;86:101985.
pubmed: 33770582
doi: 10.1016/j.cpr.2021.101985
Belbasis L, Bellou V, Ioannidis JPA. Conducting umbrella reviews. Bmjmed. 2022;1:e000071.
doi: 10.1136/bmjmed-2021-000071
Cant R, Ryan C, Kelly MA. A nine‐step pathway to conduct an umbrella review of literature. Nurse Author Editor. 2022;32:31–4.
doi: 10.1111/nae2.12039
Covidence systematic review software, Veritas Health Innovation, Melbourne, Australia. Available at https://www.covidence.org .
Aromataris E, Fernandez R, Godfrey CM, Holly C, Khalil H, Tungpunkom P. Summarizing systematic reviews: methodological development, conduct and reporting of an umbrella review approach. Int J Evid Based Health. 2015;13:132–40.
doi: 10.1097/XEB.0000000000000055
Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol. 2003;3:25.
pubmed: 14606960
pmcid: 305345
doi: 10.1186/1471-2288-3-25
Röver C, Knapp G, Friede T. Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies. BMC Med Res Methodol. 2015;15:99.
pubmed: 26573817
pmcid: 4647507
doi: 10.1186/s12874-015-0091-1
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods. 2010;1:97–111.
pubmed: 26061376
doi: 10.1002/jrsm.12
Riley RD, Higgins JPT, Deeks JJ. Interpretation of random effects meta-analyses. BMJ. 2011;342:d549.
pubmed: 21310794
doi: 10.1136/bmj.d549
Cohen, J., Statistical power analysis for the behavioral sciences. Academic press. 2013.
Higgins JPT, Thompson SG, Spiegelhalter DJ. A re-evaluation of random-effects meta-analysis. J R Stat Soc Ser A Stat Soc. 2009;172:137–59.
pubmed: 19381330
pmcid: 2667312
doi: 10.1111/j.1467-985X.2008.00552.x
Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.
pubmed: 9310563
pmcid: 2127453
doi: 10.1136/bmj.315.7109.629
Power RA, Tansey KE, Buttenschøn HN, Cohen-Woods S, Bigdeli T, Hall LS, et al. Genome-wide association for major depression through age at onset stratification: major depressive disorder working group of the psychiatric genomics consortium. Biol Psychiatry. 2017;81:325–35.
pubmed: 27519822
pmcid: 5262436
doi: 10.1016/j.biopsych.2016.05.010
Melton TH, Croarkin PE, Strawn JR, McClintock SM. Comorbid anxiety and depressive symptoms in children and adolescents: a systematic review and analysis. J Psychiatr Pract. 2016;22:84–98.
pubmed: 27138077
pmcid: 6267783
doi: 10.1097/PRA.0000000000000132
Barch DM, Tillman R, Kelly D, Whalen D, Gilbert K, Luby JL. Hippocampal volume and depression among young children. Psychiatry Res Neuroimag. 2019;288:21–8.
doi: 10.1016/j.pscychresns.2019.04.012
Baldessarini RJ, Tondo L, Visioli C. First-episode types in bipolar disorder: predictive associations with later illness. Acta Psychiatr Scand. 2014;129:383–92.
pubmed: 24152091
doi: 10.1111/acps.12204
Förster K, Horstmann RH, Dannlowski U, Houenou J, Kanske P. Progressive grey matter alterations in bipolar disorder across the life span - A systematic review. Bipolar Disord. 2023. 5 March 2023. https://doi.org/10.1111/bdi.13318 .
Goldstein TR, Ha W, Axelson DA, Goldstein BI, Liao F, Gill MK, et al. Predictors of prospectively examined suicide attempts among youth with bipolar disorder. Arch Gen Psychiatry. 2012;69:1113–22.
pubmed: 22752079
pmcid: 3600896
doi: 10.1001/archgenpsychiatry.2012.650
Li C, Birmaher B, Rooks B, Gill MK, Hower H, Axelson DA, et al. High prevalence of metabolic syndrome among adolescents and young adults with bipolar disorder. J Clin Psychiatry. 2019;80:18m12422.
pubmed: 31365195
pmcid: 6802953
doi: 10.4088/JCP.18m12422
Lynch SJ, Sunderland M, Newton NC, Chapman C. A systematic review of transdiagnostic risk and protective factors for general and specific psychopathology in young people. Clin Psychol Rev. 2021;87:102036.
pubmed: 33992846
doi: 10.1016/j.cpr.2021.102036
Akingbuwa WA, Hammerschlag AR, Jami ES, Allegrini AG, Karhunen V, Sallis H, et al. Genetic associations between childhood psychopathology and adult depression and associated traits in 42998 individuals: a meta-analysis. JAMA Psychiatry. 2020;77:715–28.
pubmed: 32293669
doi: 10.1001/jamapsychiatry.2020.0527
Giannakopoulou O, Lin K, Meng X, Su M-H, Kuo P-H, Peterson RE, et al. The genetic architecture of depression in individuals of East Asian ancestry: a genome-wide association study. JAMA Psychiatry. 2021;78:1258.
pubmed: 34586374
doi: 10.1001/jamapsychiatry.2021.2099
McGeary JE, Benca-Bachman CE, Risner VA, Beevers CG, Gibb BE, Palmer RHC. Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes. Sci Rep. 2023;13:6534.
pubmed: 37085695
pmcid: 10121555
doi: 10.1038/s41598-023-33645-7
Wu LS-H, Huang M-C, Fann CS-J, Lane H-Y, Kuo C-J, Chiu W-C, et al. Genome-wide association study of early-onset bipolar I disorder in the Han Taiwanese population. Transl Psychiatry. 2021;11:301.
pubmed: 34016946
pmcid: 8137921
doi: 10.1038/s41398-021-01407-6
Nivard MG, Gage SH, Hottenga JJ, van Beijsterveldt CEM, Abdellaoui A, Bartels M, et al. Genetic overlap between schizophrenia and developmental psychopathology: longitudinal and multivariate polygenic risk prediction of common psychiatric traits during development. Schizophr Bull. 2017;43:1197–207.
pubmed: 28338919
pmcid: 5737694
doi: 10.1093/schbul/sbx031
Barnett EJ, Biederman J, Doyle AE, Hess J, DiSalvo M, Faraone SV. Identifying pediatric mood disorders from transdiagnostic polygenic risk scores: a study of children and adolescents. J Clin Psychiatry. 2022;83:21m14180.
pubmed: 35452197
doi: 10.4088/JCP.21m14180
Martin AR, Kanai M, Kamatani Y, Okada Y, Neale BM, Daly MJ. Clinical use of current polygenic risk scores may exacerbate health disparities. Nat Genet. 2019;51:584–91.
pubmed: 30926966
pmcid: 6563838
doi: 10.1038/s41588-019-0379-x
Selzam S, Ritchie SJ, Pingault J-B, Reynolds CA, O’Reilly PF, Plomin R. Comparing within- and between-family polygenic score prediction. Am J Hum Genet. 2019;105:351–63.
pubmed: 31303263
pmcid: 6698881
doi: 10.1016/j.ajhg.2019.06.006
Kwong ASF, López-López JA, Hammerton G, Manley D, Timpson NJ, Leckie G, et al. Genetic and environmental risk factors associated with trajectories of depression symptoms from adolescence to young adulthood. JAMA Netw Open. 2019;2:e196587.
pubmed: 31251383
pmcid: 6604106
doi: 10.1001/jamanetworkopen.2019.6587
Lapalme M, Hodgins S, LaRoche C. Children of parents with bipolar disorder: a metaanalysis of risk for mental disorders. Can J Psychiatry. 1997;42:623–31.
pubmed: 9288425
doi: 10.1177/070674379704200609
Rasic D, Hajek T, Alda M, Uher R. Risk of mental illness in offspring of parents with schizophrenia, bipolar disorder, and major depressive disorder: a meta-analysis of family high-risk studies. Schizophr Bull. 2014;40:28–38.
pubmed: 23960245
doi: 10.1093/schbul/sbt114
Jelleyman T, Spencer N. Residential mobility in childhood and health outcomes: a systematic review. J Epidemiol Commun Health. 2008;62:584–92.
doi: 10.1136/jech.2007.060103
Gotlib IH, Borchers LR, Chahal R, Gifuni AJ, Teresi GI, Ho TC. Early life stress predicts depressive symptoms in adolescents during the COVID-19 pandemic: the mediating role of perceived stress. Front Psychol. 2021;11:603748.
pubmed: 33510680
pmcid: 7835338
doi: 10.3389/fpsyg.2020.603748
Penner-Goeke S, Binder EB. Epigenetics and depression. Dialogues Clin Neurosci. 2019;21:397–405.
pubmed: 31949407
pmcid: 6952745
doi: 10.31887/DCNS.2019.21.4/ebinder
van Kippersluis H, Biroli P, Dias Pereira R, Galama TJ, von Hinke S, Meddens SFW, et al. Overcoming attenuation bias in regressions using polygenic indices. Nat Commun. 2023;14:4473.
pubmed: 37491308
pmcid: 10368647
doi: 10.1038/s41467-023-40069-4
Iorfino F, Hickie IB, Lee RSC, Lagopoulos J, Hermens DF. The underlying neurobiology of key functional domains in young people with mood and anxiety disorders: a systematic review. BMC Psychiatry. 2016;16:156.
pubmed: 27215830
pmcid: 4878058
doi: 10.1186/s12888-016-0852-3
Levchenko A, Plotnikova M. Genomic regulatory sequences in the pathogenesis of bipolar disorder. Front Psychiatry. 2023;14:1115924.
pubmed: 36824672
pmcid: 9941178
doi: 10.3389/fpsyt.2023.1115924
Scheuplein M, van Harmelen A-L. The importance of friendships in reducing brain responses to stress in adolescents exposed to childhood adversity: a preregistered systematic review. Curr Opin Psychol. 2022;45:101310.
pubmed: 35303582
doi: 10.1016/j.copsyc.2022.101310
Grant CW, Barreto EF, Kumar R, Kaddurah-Daouk R, Skime M, Mayes T, et al. Multi-omics characterization of early- and adult-onset major depressive disorder. J Pers Med. 2022;12:412.
pubmed: 35330412
pmcid: 8949112
doi: 10.3390/jpm12030412
McAdams TA, Neiderhiser JM, Rijsdijk FV, Narusyte J, Lichtenstein P, Eley TC. Accounting for genetic and environmental confounds in associations between parent and child characteristics: a systematic review of children-of-twins studies. Psychol Bull. 2014;140:1138–73.
pubmed: 24749497
doi: 10.1037/a0036416
Schmaal L, Hibar DP, Sämann PG, Hall GB, Baune BT, Jahanshad N, et al. Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA major depressive disorder working group. Mol Psychiatry. 2017;22:900–9.
pubmed: 27137745
doi: 10.1038/mp.2016.60
Bujtor M, Turner AI, Torres SJ, Esteban-Gonzalo L, Pariante CM, Borsini A. Associations of dietary intake on biological markers of inflammation in children and adolescents: a systematic review. Nutrients. 2021;13:356.
Hakamata Y, Suzuki Y, Kobashikawa H, Hori H. Neurobiology of early life adversity: a systematic review of meta-analyses towards an integrative account of its neurobiological trajectories to mental disorders. Front Neuroendocrinol. 2022;65:100994.
pubmed: 35331780
doi: 10.1016/j.yfrne.2022.100994
Das Neves Peixoto FS, De Sousa DF, Luz DCRP, Vieira NB, Gonçalves Júnior J, Dos Santos GCA, et al. Bipolarity and suicidal ideation in children and adolescents: a systematic review with meta-analysis. Ann Gen Psychiatry. 2017;16:22.
pubmed: 28439289
pmcid: 5399388
doi: 10.1186/s12991-017-0143-5
Cassiers LLM, Sabbe BGC, Schmaal L, Veltman DJ, Penninx BWJH, Van Den Eede F. Structural and functional brain abnormalities associated with exposure to different childhood trauma subtypes: a systematic review of neuroimaging findings. Front Psychiatry. 2018;9:329.
pubmed: 30123142
pmcid: 6086138
doi: 10.3389/fpsyt.2018.00329
Pfeifer JC, Welge J, Strakowski SM, Adler CM, DelBello MP. Meta-analysis of amygdala volumes in children and adolescents with bipolar disorder. J Am Acad Child Adolesc Psychiatry. 2008;47:1289–98.
pubmed: 18827720
doi: 10.1097/CHI.0b013e318185d299
McKinnon MC, Yucel K, Nazarov A, MacQueen GM. A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci. 2009;34:41–54.
pubmed: 19125212
pmcid: 2612082
Arnone D, Cavanagh J, Gerber D, Lawrie SM, Ebmeier KP, McIntosh AM. Magnetic resonance imaging studies in bipolar disorder and schizophrenia: meta-analysis. Br J Psychiatry. 2009;195:194–201.
pubmed: 19721106
doi: 10.1192/bjp.bp.108.059717
Hulvershorn LA, Cullen K, Anand A. Toward dysfunctional connectivity: a review of neuroimaging findings in pediatric major depressive disorder. Brain Imaging Behav. 2011;5:307–28.
pubmed: 21901425
pmcid: 3216118
doi: 10.1007/s11682-011-9134-3
Kerestes R, Davey CG, Stephanou K, Whittle S, Harrison BJ. Functional brain imaging studies of youth depression: a systematic review. Neuroimage Clin. 2014;4:209–31.
pubmed: 24455472
doi: 10.1016/j.nicl.2013.11.009
Miller CH, Hamilton JP, Sacchet MD, Gotlib IH. Meta-analysis of functional neuroimaging of major depressive disorder in youth. JAMA Psychiatry. 2015;72:1045–53.
pubmed: 26332700
doi: 10.1001/jamapsychiatry.2015.1376
Mills NT, Scott JG, Wray NR, Cohen-Woods S, Baune BT. Research review: the role of cytokines in depression in adolescents: a systematic review. J Child Psychol Psychiatry. 2013;54:816–35.
pubmed: 24027786
doi: 10.1111/jcpp.12080
Kim J-W, Szigethy EM, Melhem NM, Saghafi EM, Brent DA. Inflammatory markers and the pathogenesis of pediatric depression and suicide: a systematic review of the literature. J Clin Psychiatry. 2014;75:1242–53.
pubmed: 25470085
doi: 10.4088/JCP.13r08898
Gill H, El-Halabi S, Majeed A, Gill B, Lui LMW, Mansur RB, et al. The association between adverse childhood experiences and inflammation in patients with major depressive disorder: a systematic review. J Affect Disord. 2020;272:1–7.
pubmed: 32379599
doi: 10.1016/j.jad.2020.03.145
Augustinavicius JLS, Zanjani A, Zakzanis KK, Shapiro CM. Polysomnographic features of early-onset depression: a meta-analysis. J Affect Disord. 2014;158:11–18.
pubmed: 24655760
doi: 10.1016/j.jad.2013.12.009
Wegbreit E, Cushman GK, Puzia ME, Weissman AB, Kim KL, Laird AR, et al. Developmental meta-analyses of the functional neural correlates of bipolar disorder. JAMA Psychiatry. 2014;71:926–35.
pubmed: 25100166
pmcid: 4545589
doi: 10.1001/jamapsychiatry.2014.660
Spencer AE, Uchida M, Kenworthy T, Keary CJ, Biederman J. Glutamatergic dysregulation in pediatric psychiatric disorders: a systematic review of the magnetic resonance spectroscopy literature. J Clin Psychiatry. 2014;75:1226–41.
pubmed: 25271988
doi: 10.4088/JCP.13r08767
Moriguchi S, Takamiya A, Noda Y, Horita N, Wada M, Tsugawa S, et al. Glutamatergic neurometabolite levels in major depressive disorder: a systematic review and meta-analysis of proton magnetic resonance spectroscopy studies. Mol Psychiatry. 2019;24:952–64.
pubmed: 30315224
doi: 10.1038/s41380-018-0252-9
Otten M, Meeter M. Hippocampal structure and function in individuals with bipolar disorder: a systematic review. J Affect Disord. 2015;174:113–25.
pubmed: 25496759
doi: 10.1016/j.jad.2014.11.001
Silveira ÉdeMJ, Kauer-Sant’Anna M. Rumination in bipolar disorder: a systematic review. Braz J Psychiatry. 2015;37:256–63.
pubmed: 26176599
doi: 10.1590/1516-4446-2014-1556
Lichenstein SD, Verstynen T, Forbes EE. Adolescent brain development and depression: a case for the importance of connectivity of the anterior cingulate cortex. Neurosci Biobehav Rev. 2016;70:271–87.
pubmed: 27461914
pmcid: 5074859
doi: 10.1016/j.neubiorev.2016.07.024
Byrne ML, Whittle S, Vijayakumar N, Dennison M, Simmons JG, Allen NB. A systematic review of adrenarche as a sensitive period in neurobiological development and mental health. Dev Cogn Neurosci. 2017;25:12–28.
pubmed: 28077245
doi: 10.1016/j.dcn.2016.12.004
Tang S, Lu L, Zhang L, Hu X, Bu X, Li H, et al. Abnormal amygdala resting-state functional connectivity in adults and adolescents with major depressive disorder: a comparative meta-analysis. EBioMedicine. 2018;36:436–45.
pubmed: 30316866
pmcid: 6197798
doi: 10.1016/j.ebiom.2018.09.010
Lu X, Zhong Y, Ma Z, Wu Y, Fox PT, Zhang N, et al. Structural imaging biomarkers for bipolar disorder: Meta-analyses of whole-brain voxel-based morphometry studies. Depress Anxiety. 2019;36:353–64.
pubmed: 30475436
doi: 10.1002/da.22866
Yang C, Li L, Hu X, Luo Q, Kuang W, Lui S, et al. Psychoradiologic abnormalities of white matter in patients with bipolar disorder: diffusion tensor imaging studies using tract-based spatial statistics. J Psychiatry Neurosci. 2019;44:32–44.
pubmed: 30565904
doi: 10.1503/jpn.170221
McVoy M, Aebi ME, Loparo K, Lytle S, Morris A, Woods N, et al. Resting-state quantitative electroencephalography demonstrates differential connectivity in adolescents with major depressive disorder. J Child Adolesc Psychopharmacol. 2019;29:370–7.
pubmed: 31038351
pmcid: 7227423
doi: 10.1089/cap.2018.0166
Toenders YJ, van Velzen LS, Heideman IZ, Harrison BJ, Davey CG, Schmaal L. Neuroimaging predictors of onset and course of depression in childhood and adolescence: a systematic review of longitudinal studies. Dev Cogn Neurosci. 2019;39:100700.
pubmed: 31426010
pmcid: 6969367
doi: 10.1016/j.dcn.2019.100700
Kostyrka-Allchorne K, Wass SV, Sonuga-Barke EJS. Research review: do parent ratings of infant negative emotionality and self-regulation predict psychopathology in childhood and adolescence? A systematic review and meta-analysis of prospective longitudinal studies. J Child Psychol Psychiatry. 2020;61:401–16.
pubmed: 31696514
doi: 10.1111/jcpp.13144
Li X, Wang J. Abnormal neural activities in adults and youths with major depressive disorder during emotional processing: a meta-analysis. Brain Imaging Behav. 2021;15:1134–54.
pubmed: 32710330
doi: 10.1007/s11682-020-00299-2
Nielsen JD, Mennies RJ, Olino TM. Application of a diathesis-stress model to the interplay of cortical structural development and emerging depression in youth. Clin Psychol Rev. 2020;82:101922.
pubmed: 33038741
pmcid: 8594424
doi: 10.1016/j.cpr.2020.101922
Kelberman C, Biederman J, Green A, Spera V, Maiello M, Uchida M. Differentiating bipolar disorder from unipolar depression in youth: a systematic literature review of neuroimaging research studies. Psychiatry Res Neuroimage. 2021;307:111201.
doi: 10.1016/j.pscychresns.2020.111201
Long X, Li L, Wang X, Cao Y, Wu B, Roberts N, et al. Gray matter alterations in adolescent major depressive disorder and adolescent bipolar disorder. J Affect Disord. 2023;325:550–63.
pubmed: 36669567
doi: 10.1016/j.jad.2023.01.049
Ashkan K, Mirza AB, Tambirajoo K, Furlanetti L. Deep brain stimulation in the management of paediatric neuropsychiatric conditions: current evidence and future directions. Eur J Paediatr Neurol. 2021;33:146–58.
pubmed: 33092983
doi: 10.1016/j.ejpn.2020.09.004
Mayer JS, Bernhard A, Fann N, Boxhoorn S, Hartman CA, Reif A, et al. Cognitive mechanisms underlying depressive disorders in ADHD: A systematic review. Neurosci Biobehav Rev. 2021;121:307–45.
pubmed: 33359622
doi: 10.1016/j.neubiorev.2020.12.018
Battel L, Cunegatto F, Viduani A, Fisher HL, Kohrt BA, Mondelli V, et al. Mind the brain gap: the worldwide distribution of neuroimaging research on adolescent depression. Neuroimage. 2021;231:117865.
pubmed: 33592242
doi: 10.1016/j.neuroimage.2021.117865
Ashworth E, Brooks SJ, Schiöth HB. Neural activation of anxiety and depression in children and young people: a systematic meta-analysis of fMRI studies. Psychiatry Res Neuroimaging. 2021;311:111272.
pubmed: 33725661
doi: 10.1016/j.pscychresns.2021.111272
Girela-Serrano BM, Guerrero-Jiménez M, Spiers ADV, Gutiérrez-Rojas L. Obesity and overweight among children and adolescents with bipolar disorder from the general population: a review of the scientific literature and a meta-analysis. Early Inter Psychiatry. 2022;16:113–25.
doi: 10.1111/eip.13137
Zajkowska Z, Walsh A, Zonca V, Gullett N, Pedersen GA, Kieling C, et al. A systematic review of the association between biological markers and environmental stress risk factors for adolescent depression. J Psychiatr Res. 2021;138:163–75.
pubmed: 33857787
doi: 10.1016/j.jpsychires.2021.04.003
Cattarinussi G, Aarabi MH, Sanjari Moghaddam H, Homayoun M, Ashrafi M, Soltanian-Zadeh H, et al. Effect of parental depressive symptoms on offspring’s brain structure and function: a systematic review of neuroimaging studies. Neurosci Biobehav Rev. 2021;131:451–65.
pubmed: 34592256
doi: 10.1016/j.neubiorev.2021.09.046
Zajkowska Z, Gullett N, Walsh A, Zonca V, Pedersen GA, Souza L, et al. Cortisol and development of depression in adolescence and young adulthood - a systematic review and meta-analysis. Psychoneuroendocrinology. 2022;136:105625.
pubmed: 34920399
pmcid: 8783058
doi: 10.1016/j.psyneuen.2021.105625
Dugré JR, Eickhoff SB, Potvin S. Meta-analytical transdiagnostic neural correlates in common pediatric psychiatric disorders. Sci Rep. 2022;12:4909.
pubmed: 35318371
pmcid: 8941086
doi: 10.1038/s41598-022-08909-3
Di Benedetto MG, Scassellati C, Cattane N, Riva MA, Cattaneo A. Neurotrophic factors, childhood trauma and psychiatric disorders: a systematic review of genetic, biochemical, cognitive and imaging studies to identify potential biomarkers. J Affect Disord. 2022;308:76–88.
pubmed: 35378148
doi: 10.1016/j.jad.2022.03.071
Burkhouse KL, Kujawa A. Annual research review: emotion processing in offspring of mothers with depression diagnoses – a systematic review of neural and physiological research. J Child Psychol Psychiatry. 2023;64:583–607.
pubmed: 36511171
doi: 10.1111/jcpp.13734
Jami ES, Hammerschlag AR, Ip HF, Allegrini AG, Benyamin B, Border R, et al. Genome-wide association meta-analysis of childhood and adolescent internalizing symptoms. J Am Acad Child Adolesc Psychiatry. 2022;61:934–45.
pubmed: 35378236
doi: 10.1016/j.jaac.2021.11.035
Bergen SE, Gardner CO, Kendler KS. Age-related changes in heritability of behavioral phenotypes over adolescence and young adulthood: a meta-analysis. Twin Res Hum Genet. 2007;10:423–33.
pubmed: 17564500
doi: 10.1375/twin.10.3.423
Wray NR, Pergadia ML, Blackwood DHR, Penninx BWJH, Gordon SD, Nyholt DR, et al. Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned. Mol Psychiatry. 2012;17:36–48.
pubmed: 21042317
doi: 10.1038/mp.2010.109
Benke KS, Nivard MG, Velders FP, Walters RK, Pappa I, Scheet PA, et al. A genome-wide association meta-analysis of preschool internalizing problems. J Am Acad Child Adolesc Psychiatry. 2014;53:667–.e7.
pubmed: 24839885
doi: 10.1016/j.jaac.2013.12.028
Xia L, Yao S. The involvement of genes in adolescent depression: a systematic review. Front Behav Neurosci. 2015;9:329.
pubmed: 26733829
pmcid: 4685064
doi: 10.3389/fnbeh.2015.00329
Menezes IC, von Werne Baes C, Lacchini R, Juruena MF. Genetic biomarkers for differential diagnosis of major depressive disorder and bipolar disorder: a systematic and critical review. Behav Brain Res. 2019;357-358:29–38.
pubmed: 29331712
doi: 10.1016/j.bbr.2018.01.008
Arnau-Soler A, Adams MJ, Hayward C, Thomson PA. Genome-wide interaction study of a proxy for stress-sensitivity and its prediction of major depressive disorder. PLoS One. 2018;13:e0209160.
pubmed: 30571770
pmcid: 6301766
doi: 10.1371/journal.pone.0209160
Yao X, Glessner JT, Li J, Qi X, Hou X, Zhu C, et al. Integrative analysis of genome-wide association studies identifies novel loci associated with neuropsychiatric disorders. Transl Psychiatry. 2021;11:69.
pubmed: 33479212
pmcid: 7820351
doi: 10.1038/s41398-020-01195-5
Biederman J, Green A, DiSalvo M, Faraone SV. Can polygenic risk scores help identify pediatric bipolar spectrum and related disorders?: A systematic review. Psychiatry Res. 2021;299:113843.
pubmed: 33721787
doi: 10.1016/j.psychres.2021.113843
Akingbuwa WA, Hammerschlag AR, Bartels M, Middeldorp CM. Systematic review: molecular studies of common genetic variation in child and adolescent psychiatric disorders. J Am Acad Child Adolesc Psychiatry. 2022;61:227–42.
pubmed: 33932494
doi: 10.1016/j.jaac.2021.03.020
Bahji A, Forth E, Hargreaves T, Harkness K. Genetic markers of the stress generation model: a systematic review. Psychiatry Res. 2021;304:114139.
pubmed: 34371296
doi: 10.1016/j.psychres.2021.114139
Ludwig-Walz H, Dannheim I, Pfadenhauer LM, Fegert JM, Bujard M. Increase of depression among children and adolescents after the onset of the COVID-19 pandemic in Europe: a systematic review and meta-analysis. Child Adolesc Psychiatry Ment Health. 2022;16:109.
pubmed: 36587221
pmcid: 9805372
doi: 10.1186/s13034-022-00546-y
Gabriel IWM, Lima DGS, Pires JP, Vieira NB, Brasil AAGM, Pereira YTG, et al. Impacts of COVID-19 on children and adolescents: a systematic review analyzing its psychiatric effects. World J Psychiatry. 2022;12:1313–22.
pubmed: 36438679
pmcid: 9693832
doi: 10.5498/wjp.v12.i11.1313
Finlay S, Roth C, Zimsen T, Bridson TL, Sarnyai Z, McDermott B. Adverse childhood experiences and allostatic load: a systematic review. Neurosci Biobehav Rev. 2022;136:104605.
pubmed: 35278597
doi: 10.1016/j.neubiorev.2022.104605
Burt SA. Rethinking environmental contributions to child and adolescent psychopathology: a meta-analysis of shared environmental influences. Psychol Bull. 2009;135:608–37.
pubmed: 19586164
doi: 10.1037/a0015702
Quon EC, McGrath JJ. Subjective socioeconomic status and adolescent health: a meta-analysis. Health Psychol. 2014;33:433–47.
pubmed: 24245837
doi: 10.1037/a0033716
Meister R, Abbas M, Antel J, Peters T, Pan Y, Bingel U, et al. Placebo response rates and potential modifiers in double-blind randomized controlled trials of second and newer generation antidepressants for major depressive disorder in children and adolescents: a systematic review and meta-regression analysis. Eur Child Adolesc Psychiatry. 2020;29:253–73.
pubmed: 30535589
doi: 10.1007/s00787-018-1244-7
Ryttersgaard TO, Johnsen SP, Riis JØ, Mogensen PH, Bjarkam CR. Prevalence of depression after moderate to severe traumatic brain injury among adolescents and young adults: a systematic review. Scand J Psychol. 2020;61:297–306.
pubmed: 31774181
doi: 10.1111/sjop.12587
Cadenas-Sanchez C, Mena-Molina A, Torres-Lopez LV, Migueles JH, Rodriguez-Ayllon M, Lubans DR, et al. Healthier minds in fitter bodies: a systematic review and meta-analysis of the association between physical fitness and mental health in youth. Sports Med. 2021;51:2571–605.
pubmed: 34313979
doi: 10.1007/s40279-021-01520-y
Felez-Nobrega M, Bort-Roig J, Ma R, Romano E, Faires M, Stubbs B, et al. Light-intensity physical activity and mental ill health: a systematic review of observational studies in the general population. Int J Behav Nutr Phys Act. 2021;18:123.
pubmed: 34526048
pmcid: 8444599
doi: 10.1186/s12966-021-01196-7
Li C, Wang P, Martin-Moratinos M, Bella-Fernández M, Blasco-Fontecilla H. Traditional bullying and cyberbullying in the digital age and its associated mental health problems in children and adolescents: a meta-analysis. Eur Child Adolesc Psychiatry. 2022. 2022. https://doi.org/10.1007/s00787-022-02128-x .
Ejaredar M, Lee Y, Roberts DJ, Sauve R, Dewey D. Bisphenol A exposure and children’s behavior: A systematic review. J Expo Sci Environ Epidemiol. 2017;27:175–83.
pubmed: 26956939
doi: 10.1038/jes.2016.8
Van IJzendoorn MH, Belsky J, Bakermans-Kranenburg MJ. Serotonin transporter genotype 5HTTLPR as a marker of differential susceptibility? A meta-analysis of child and adolescent gene-by-environment studies. Transl Psychiatry. 2012;2:e147–e147.
pubmed: 22872162
pmcid: 3432188
doi: 10.1038/tp.2012.73
Gressier F, Calati R, Serretti A. 5-HTTLPR and gender differences in affective disorders: a systematic review. J Affect Disord. 2016;190:193–207.
pubmed: 26519640
doi: 10.1016/j.jad.2015.09.027
Maglione D, Caputi M, Moretti B, Scaini S. Psychopathological consequences of maltreatment among children and adolescents: a systematic review of the GxE literature. Res Dev Disabil. 2018;82:53–66.
pubmed: 29934252
doi: 10.1016/j.ridd.2018.06.005
Ridout KK, Ridout SJ, Price LH, Sen S, Tyrka AR. Depression and telomere length: a meta-analysis. J Affect. Disord. 2016;191:237–47.
pubmed: 26688493
doi: 10.1016/j.jad.2015.11.052
Coimbra BM, Carvalho CM, Moretti PN, Mello MF, Belangero SI. Stress-related telomere length in children: a systematic review. J Psychiatr Res. 2017;92:47–54.
pubmed: 28407508
doi: 10.1016/j.jpsychires.2017.03.023
Huang Y-C, Wang L-J, Tseng P-T, Hung C-F, Lin P-Y. Leukocyte telomere length in patients with bipolar disorder: An updated meta-analysis and subgroup analysis by mood status. Psychiatry Res. 2018;270:41–9.
pubmed: 30243131
doi: 10.1016/j.psychres.2018.09.035
Jiang Y, Da W, Qiao S, Zhang Q, Li X, Ivey G, et al. Basal cortisol, cortisol reactivity, and telomere length: a systematic review and meta-analysis. Psychoneuroendocrinology. 2019;103:163–72.
pubmed: 30695740
pmcid: 6450740
doi: 10.1016/j.psyneuen.2019.01.022
Dunn EC, Uddin M, Subramanian SV, Smoller JW, Galea S, Koenen KC. Research review: gene-environment interaction research in youth depression - a systematic review with recommendations for future research. J Child Psychol Psychiatry. 2011;52:1223–38.
pubmed: 21954964
pmcid: 3202044
doi: 10.1111/j.1469-7610.2011.02466.x
Pinto RQ, Soares I, Carvalho-Correia E, Mesquita AR. Gene-environment interactions in psychopathology throughout early childhood: a systematic review. Psychiatr Genet. 2015;25:223–33.
pubmed: 26313931
doi: 10.1097/YPG.0000000000000106
Munkholm K, Vinberg M, Berk M, Kessing LV. State-related alterations of gene expression in bipolar disorder: a systematic review. Bipolar Disord. 2012;14:684–96.
pubmed: 23043691
doi: 10.1111/bdi.12005
Park C, Rosenblat JD, Brietzke E, Pan Z, Lee Y, Cao B, et al. Stress, epigenetics and depression: a systematic review. Neurosci Biobehav Rev. 2019;102:139–52.
pubmed: 31005627
doi: 10.1016/j.neubiorev.2019.04.010
Cecil CAM, Zhang Y, Nolte T. Childhood maltreatment and DNA methylation: a systematic review. Neurosci Biobehav Rev. 2020;112:392–409.
pubmed: 32081689
doi: 10.1016/j.neubiorev.2020.02.019
Roberson-Nay R, Lapato DM, Wolen AR, Lancaster EE, Webb BT, Verhulst B, et al. An epigenome-wide association study of early-onset major depression in monozygotic twins. Transl Psychiatry. 2020;10:301.
pubmed: 32843619
pmcid: 7447798
doi: 10.1038/s41398-020-00984-2
Kohlhoff J, Cibralic S, Hawes DJ, Eapen V. Oxytocin receptor gene (OXTR) polymorphisms and social, emotional and behavioral functioning in children and adolescents: a systematic narrative review. Neurosci Biobehav Rev. 2022;135:104573.
pubmed: 35149102
doi: 10.1016/j.neubiorev.2022.104573