Cargando…

Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk

Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness ri...

Descripción completa

Detalles Bibliográficos
Autores principales: Anderson, Kevin M., Collins, Meghan A., Chin, Rowena, Ge, Tian, Rosenberg, Monica D., Holmes, Avram J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280213/
https://www.ncbi.nlm.nih.gov/pubmed/32514083
http://dx.doi.org/10.1038/s41467-020-16710-x
_version_ 1783543701654470656
author Anderson, Kevin M.
Collins, Meghan A.
Chin, Rowena
Ge, Tian
Rosenberg, Monica D.
Holmes, Avram J.
author_facet Anderson, Kevin M.
Collins, Meghan A.
Chin, Rowena
Ge, Tian
Rosenberg, Monica D.
Holmes, Avram J.
author_sort Anderson, Kevin M.
collection PubMed
description Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness risk remains elusive. Here, we demonstrate stereotyped negative correlation of somatostatin and parvalbumin transcripts within human and non-human primates. Cortical distributions of somatostatin and parvalbumin cell gene markers are strongly coupled to regional differences in functional MRI variability. In the general population (n = 9,713), parvalbumin-linked genes account for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude. Single-marker and polygenic cell deconvolution establish that this relationship is spatially dependent, following the topography of parvalbumin expression in post-mortem brain tissue. Finally, schizophrenia genetic risk is enriched among interneuron-linked genes and predicts cortical signal amplitude in parvalbumin-biased regions. These data indicate that the molecular-genetic basis of brain function is shaped by interneuron-related transcripts and may capture individual differences in schizophrenia risk.
format Online
Article
Text
id pubmed-7280213
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-72802132020-06-16 Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk Anderson, Kevin M. Collins, Meghan A. Chin, Rowena Ge, Tian Rosenberg, Monica D. Holmes, Avram J. Nat Commun Article Inhibitory interneurons orchestrate information flow across the cortex and are implicated in psychiatric illness. Although interneuron classes have unique functional properties and spatial distributions, the influence of interneuron subtypes on brain function, cortical specialization, and illness risk remains elusive. Here, we demonstrate stereotyped negative correlation of somatostatin and parvalbumin transcripts within human and non-human primates. Cortical distributions of somatostatin and parvalbumin cell gene markers are strongly coupled to regional differences in functional MRI variability. In the general population (n = 9,713), parvalbumin-linked genes account for an enriched proportion of heritable variance in in-vivo functional MRI signal amplitude. Single-marker and polygenic cell deconvolution establish that this relationship is spatially dependent, following the topography of parvalbumin expression in post-mortem brain tissue. Finally, schizophrenia genetic risk is enriched among interneuron-linked genes and predicts cortical signal amplitude in parvalbumin-biased regions. These data indicate that the molecular-genetic basis of brain function is shaped by interneuron-related transcripts and may capture individual differences in schizophrenia risk. Nature Publishing Group UK 2020-06-08 /pmc/articles/PMC7280213/ /pubmed/32514083 http://dx.doi.org/10.1038/s41467-020-16710-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Anderson, Kevin M.
Collins, Meghan A.
Chin, Rowena
Ge, Tian
Rosenberg, Monica D.
Holmes, Avram J.
Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
title Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
title_full Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
title_fullStr Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
title_full_unstemmed Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
title_short Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
title_sort transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280213/
https://www.ncbi.nlm.nih.gov/pubmed/32514083
http://dx.doi.org/10.1038/s41467-020-16710-x
work_keys_str_mv AT andersonkevinm transcriptionalandimaginggeneticassociationofcorticalinterneuronsbrainfunctionandschizophreniarisk
AT collinsmeghana transcriptionalandimaginggeneticassociationofcorticalinterneuronsbrainfunctionandschizophreniarisk
AT chinrowena transcriptionalandimaginggeneticassociationofcorticalinterneuronsbrainfunctionandschizophreniarisk
AT getian transcriptionalandimaginggeneticassociationofcorticalinterneuronsbrainfunctionandschizophreniarisk
AT rosenbergmonicad transcriptionalandimaginggeneticassociationofcorticalinterneuronsbrainfunctionandschizophreniarisk
AT holmesavramj transcriptionalandimaginggeneticassociationofcorticalinterneuronsbrainfunctionandschizophreniarisk