Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders.
Adolescent
Adult
Aged
Aged, 80 and over
Attention Deficit Disorder with Hyperactivity
/ diagnostic imaging
Autism Spectrum Disorder
/ diagnostic imaging
Bipolar Disorder
/ diagnostic imaging
Case-Control Studies
Cerebral Cortex
/ cytology
Child
Child, Preschool
Cohort Studies
Computational Biology
Depressive Disorder, Major
/ diagnostic imaging
Female
Fetal Development
/ physiology
Gene Expression
/ physiology
Human Development
/ physiology
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Obsessive-Compulsive Disorder
/ diagnostic imaging
Principal Component Analysis
Schizophrenia
/ diagnostic imaging
Young Adult
Journal
JAMA psychiatry
ISSN: 2168-6238
Titre abrégé: JAMA Psychiatry
Pays: United States
ID NLM: 101589550
Informations de publication
Date de publication:
01 Jan 2021
01 Jan 2021
Historique:
pubmed:
29
8
2020
medline:
18
1
2022
entrez:
29
8
2020
Statut:
ppublish
Résumé
Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood. To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia. Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244. Interregional profiles of group difference in cortical thickness between cases and controls. A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders. In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.
Identifiants
pubmed: 32857118
pii: 2769908
doi: 10.1001/jamapsychiatry.2020.2694
pmc: PMC7450410
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
47-63Subventions
Organisme : NIMH NIH HHS
ID : P50 MH094268
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB015611
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIA NIH HHS
ID : T32 AG058507
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_17209
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R01 MH119219
Pays : United States
Organisme : NIMH NIH HHS
ID : K01 MH112774
Pays : United States
Organisme : NIMH NIH HHS
ID : K23 MH115206
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH115357
Pays : United States
Organisme : NIH HHS
ID : S10 OD023696
Pays : United States
Commentaires et corrections
Type : ErratumIn
Références
Nature. 2019 Sep;573(7772):61-68
pubmed: 31435019
Science. 2015 Mar 6;347(6226):1138-42
pubmed: 25700174
Nat Neurosci. 2019 Mar;22(3):353-361
pubmed: 30692689
Neuroimage. 2006 Jul 1;31(3):968-80
pubmed: 16530430
Neuropsychopharmacology. 2016 Jan;41(1):3-23
pubmed: 26076834
Neuropsychopharmacology. 2015 Jan;40(1):1-3
pubmed: 25482168
Am J Psychiatry. 2018 Apr 1;175(4):359-369
pubmed: 29145754
Nat Genet. 2020 May;52(5):482-493
pubmed: 32341526
Dev Neurobiol. 2012 Jan;72(1):73-86
pubmed: 21761575
Cereb Cortex. 2019 Jul 22;29(8):3351-3362
pubmed: 30169567
Neuropathol Appl Neurobiol. 2004 Dec;30(6):615-23
pubmed: 15541002
Science. 2018 Jun 22;360(6395):
pubmed: 29930110
Arch Gen Psychiatry. 2001 Jun;58(6):545-53
pubmed: 11386983
Nat Neurosci. 2014 Oct;17(10):1418-1428
pubmed: 25174004
Mol Psychiatry. 2018 Apr;23(4):932-942
pubmed: 28461699
Schizophr Bull. 2001;27(3):457-76
pubmed: 11596847
Arch Gen Psychiatry. 2010 May;67(5):448-57
pubmed: 20439826
Nat Rev Neurosci. 2018 Mar 16;19(4):215-234
pubmed: 29545546
Mol Psychiatry. 2017 Jun;22(6):900-909
pubmed: 27137745
Arch Gen Psychiatry. 1986 Jan;43(1):31-5
pubmed: 3942472
Arch Gen Psychiatry. 1995 Oct;52(10):805-18; discussion 819-20
pubmed: 7575100
Am J Psychiatry. 2019 Jul 1;176(7):531-542
pubmed: 31014101
Nagoya J Med Sci. 2013 Feb;75(1-2):11-28
pubmed: 23544264
Mol Psychiatry. 2021 Aug;26(8):3795-3805
pubmed: 31900429
Biol Psychiatry. 2018 Feb 1;83(3):224-234
pubmed: 28967386
Lancet Neurol. 2015 May;14(5):532-46
pubmed: 25769423
Nature. 2012 Sep 20;489(7416):391-399
pubmed: 22996553
Dev Neurobiol. 2017 Apr;77(4):393-404
pubmed: 27390186
Nature. 2017 Oct 11;550(7675):204-213
pubmed: 29022597
Cereb Cortex. 2020 Mar 21;30(2):575-586
pubmed: 31240317
Front Neurosci. 2015 Sep 16;9:323
pubmed: 26441498
J Neurosci. 2017 Mar 22;37(12):3276-3293
pubmed: 28213444
Nat Rev Neurosci. 2008 Dec;9(12):947-57
pubmed: 19002191
Nature. 2014 Apr 10;508(7495):199-206
pubmed: 24695229
Am J Psychiatry. 2018 May 1;175(5):453-462
pubmed: 29377733
Cereb Cortex. 2018 Sep 1;28(9):3267-3277
pubmed: 28968835
Mol Psychiatry. 2021 Jun;26(6):2101-2110
pubmed: 33456050
J Stat Softw. 2012 Mar;46(11):
pubmed: 23050260
Nature. 2016 Feb 11;530(7589):177-83
pubmed: 26814963
Brain Struct Funct. 2019 Jan;224(1):191-203
pubmed: 30298291
Cancer Res. 1967 Feb;27(2):209-20
pubmed: 6018555
Biol Psychiatry. 2001 May 1;49(9):741-52
pubmed: 11331082
Nucleic Acids Res. 2020 Jan 8;48(D1):D845-D855
pubmed: 31680165
Mol Autism. 2014 Jan 10;5(1):3
pubmed: 24410870
Biol Psychiatry. 1999 May 1;45(9):1085-98
pubmed: 10331101
Nat Rev Neurosci. 2017 Dec;18(12):727-740
pubmed: 29070826
Curr Opin Neurobiol. 2019 Aug;57:62-70
pubmed: 30743178
JAMA Psychiatry. 2014 Dec 1;71(12):1323-31
pubmed: 25271938
Expert Rev Neurother. 2009 Jul;9(7):1059-71
pubmed: 19589054
Elife. 2018 Dec 18;7:
pubmed: 30561325
Biol Psychiatry. 2018 Nov 1;84(9):644-654
pubmed: 29960671
Nature. 2011 Oct 26;478(7370):519-23
pubmed: 22031444
Transl Psychiatry. 2020 Mar 20;10(1):100
pubmed: 32198361
Neuroimage. 2012 Aug 15;62(2):774-81
pubmed: 22248573