Molecular signature of extracellular matrix pathology in schizophrenia

Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. G...

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Published inThe European journal of neuroscience Vol. 53; no. 12; pp. 3960 - 3987
Main Authors Pantazopoulos, Harry, Katsel, Pavel, Haroutunian, Vahram, Chelini, Gabriele, Klengel, Torsten, Berretta, Sabina
Format Journal Article
LanguageEnglish
Published France Wiley Subscription Services, Inc 01.06.2021
John Wiley and Sons Inc
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Abstract Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region‐ and sex‐specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects (n = 14/region) and subjects with SZ (n = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region‐, sex‐ and age‐specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large‐scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ. Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects and donors with SZ was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ. In (a) proportion of ECM‐related differentially expressed genes (DEG) in SZ by the brain regions. The superior temporal cortex (BA22) showed the highest number of DEGs. In (b) ECM‐related DEGs in SZ compared to UC across all of the analysed regions (blue‐downregulated; red‐upregulated). DEG's t‐score (Y axis) values plotted against fold change (X axis).
AbstractList Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region‐ and sex‐specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects ( n  = 14/region) and subjects with SZ ( n  = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region‐, sex‐ and age‐specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large‐scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ. Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects and donors with SZ was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ. In (a) proportion of ECM‐related differentially expressed genes (DEG) in SZ by the brain regions. The superior temporal cortex (BA22) showed the highest number of DEGs. In (b) ECM‐related DEGs in SZ compared to UC across all of the analysed regions (blue‐downregulated; red‐upregulated). DEG's t ‐score ( Y axis) values plotted against fold change ( X axis).
Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region‐ and sex‐specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects ( n  = 14/region) and subjects with SZ ( n  = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region‐, sex‐ and age‐specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large‐scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ.
Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region- and sex-specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects (n = 14/region) and subjects with SZ (n = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region-, sex- and age-specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large-scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ.
Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region‐ and sex‐specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects (n = 14/region) and subjects with SZ (n = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region‐, sex‐ and age‐specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large‐scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ. Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects and donors with SZ was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ. In (a) proportion of ECM‐related differentially expressed genes (DEG) in SZ by the brain regions. The superior temporal cortex (BA22) showed the highest number of DEGs. In (b) ECM‐related DEGs in SZ compared to UC across all of the analysed regions (blue‐downregulated; red‐upregulated). DEG's t‐score (Y axis) values plotted against fold change (X axis).
Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region- and sex-specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects (n = 14/region) and subjects with SZ (n = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region-, sex- and age-specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large-scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ.Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region- and sex-specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects (n = 14/region) and subjects with SZ (n = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region-, sex- and age-specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large-scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ.
Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal nets (PNNs) and altered expression of chondroitin sulphate proteoglycans (CSPGs) in glial cells have been identified in several brain regions. GWAS data have identified several SZ vulnerability variants of genes encoding for ECM molecules. Given the potential relevance of ECM functions to the pathophysiology of this disorder, it is necessary to understand the extent of ECM changes across brain regions, their region‐ and sex‐specificity and which ECM components contribute to these changes. We tested the hypothesis that the expression of genes encoding for ECM molecules may be broadly disrupted in SZ across several cortical and subcortical brain regions and include key ECM components as well as factors such as ECM posttranslational modifications and regulator factors. Gene expression profiling of 14 neocortical brain regions, caudate, putamen and hippocampus from control subjects (n = 14/region) and subjects with SZ (n = 16/region) was conducted using Affymetrix microarray analysis. Analysis across brain regions revealed widespread dysregulation of ECM gene expression in cortical and subcortical brain regions in SZ, impacting several ECM functional key components. SRGN, CD44, ADAMTS1, ADAM10, BCAN, NCAN and SEMA4G showed some of the most robust changes. Region‐, sex‐ and age‐specific gene expression patterns and correlation with cognitive scores were also detected. Taken together, these findings contribute to emerging evidence for large‐scale ECM dysregulation in SZ and point to molecular pathways involved in PNN decreases, glial cell dysfunction and cognitive impairment in SZ.
Author Chelini, Gabriele
Pantazopoulos, Harry
Berretta, Sabina
Haroutunian, Vahram
Klengel, Torsten
Katsel, Pavel
AuthorAffiliation 1 Department of Neurobiology and Anatomical Sciences University of Mississippi Medical Center Jackson MS USA
4 Mental Illness Research Education Clinical Centers of Excellence (MIRECC) JJ Peters VA Medical Center Bronx NY USA
6 Department of Psychiatry Harvard Medical School Boston MA USA
9 Program in Neuroscience Harvard Medical School Boston MA USA
2 Department of Psychiatry The Icahn School of Medicine at Mount Sinai New York NY USA
5 Translational Neuroscience Laboratory Mclean Hospital Belmont MA USA
8 Department of Psychiatry University Medical Center Göttingen Göttingen Germany
7 Translational Molecular Genomics Laboratory Mclean Hospital Belmont MA USA
3 Department of Neuroscience The Icahn School of Medicine at Mount Sinai New York NY USA
AuthorAffiliation_xml – name: 2 Department of Psychiatry The Icahn School of Medicine at Mount Sinai New York NY USA
– name: 7 Translational Molecular Genomics Laboratory Mclean Hospital Belmont MA USA
– name: 9 Program in Neuroscience Harvard Medical School Boston MA USA
– name: 1 Department of Neurobiology and Anatomical Sciences University of Mississippi Medical Center Jackson MS USA
– name: 6 Department of Psychiatry Harvard Medical School Boston MA USA
– name: 5 Translational Neuroscience Laboratory Mclean Hospital Belmont MA USA
– name: 4 Mental Illness Research Education Clinical Centers of Excellence (MIRECC) JJ Peters VA Medical Center Bronx NY USA
– name: 8 Department of Psychiatry University Medical Center Göttingen Göttingen Germany
– name: 3 Department of Neuroscience The Icahn School of Medicine at Mount Sinai New York NY USA
Author_xml – sequence: 1
  givenname: Harry
  surname: Pantazopoulos
  fullname: Pantazopoulos, Harry
  organization: University of Mississippi Medical Center
– sequence: 2
  givenname: Pavel
  surname: Katsel
  fullname: Katsel, Pavel
  organization: JJ Peters VA Medical Center
– sequence: 3
  givenname: Vahram
  surname: Haroutunian
  fullname: Haroutunian, Vahram
  organization: JJ Peters VA Medical Center
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  givenname: Gabriele
  surname: Chelini
  fullname: Chelini, Gabriele
  organization: Harvard Medical School
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  givenname: Torsten
  surname: Klengel
  fullname: Klengel, Torsten
  organization: University Medical Center Göttingen
– sequence: 6
  givenname: Sabina
  orcidid: 0000-0002-4057-7766
  surname: Berretta
  fullname: Berretta, Sabina
  email: s.berretta@mclean.harvard.edu
  organization: Harvard Medical School
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33070392$$D View this record in MEDLINE/PubMed
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Issue 12
Keywords glial cells
microarray
neurodevelopment
schizophrenia
synaptic plasticity
extracellular matrix
interneurons
perineuronal nets
Language English
License Attribution
2020 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Snippet Growing evidence points to a critical involvement of the extracellular matrix (ECM) in the pathophysiology of schizophrenia (SZ). Decreases of perineuronal...
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proquest
pubmed
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SubjectTerms ADAMTS-1 protein
Brain
Brain - metabolism
CD44 antigen
Chondroitin Sulfate Proteoglycans - genetics
Chondroitin Sulfate Proteoglycans - metabolism
Cognitive ability
DNA microarrays
Extracellular matrix
Extracellular Matrix - metabolism
Gene expression
Glial cells
Humans
interneurons
Mental disorders
microarray
neurodevelopment
Neuroglia - metabolism
Pathophysiology
Perineuronal nets
Proteoglycans
Putamen
Schizophrenia
Schizophrenia - genetics
Special Issue
synaptic plasticity
Title Molecular signature of extracellular matrix pathology in schizophrenia
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fejn.15009
https://www.ncbi.nlm.nih.gov/pubmed/33070392
https://www.proquest.com/docview/2552117766
https://www.proquest.com/docview/2452096955
https://pubmed.ncbi.nlm.nih.gov/PMC8359380
Volume 53
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