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Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS
BACKGROUND: Amyotrophic lateral sclerosis is a clinical syndrome with complex biological determinants, but which in most cases is characterized by TDP-43 pathology. The identification in CSF of a protein signature of TDP-43 network dysfunction would have the potential to inform the identification of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010303/ https://www.ncbi.nlm.nih.gov/pubmed/33815045 http://dx.doi.org/10.3389/fnins.2021.642324 |
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author | Thompson, Alexander G. Gray, Elizabeth Charles, Philip D. Hu, Michele T. M. Talbot, Kevin Fischer, Roman Kessler, Benedikt M. Turner, Martin R. |
author_facet | Thompson, Alexander G. Gray, Elizabeth Charles, Philip D. Hu, Michele T. M. Talbot, Kevin Fischer, Roman Kessler, Benedikt M. Turner, Martin R. |
author_sort | Thompson, Alexander G. |
collection | PubMed |
description | BACKGROUND: Amyotrophic lateral sclerosis is a clinical syndrome with complex biological determinants, but which in most cases is characterized by TDP-43 pathology. The identification in CSF of a protein signature of TDP-43 network dysfunction would have the potential to inform the identification of new biomarkers and therapeutic targets. METHODS: We compared CSF proteomic data from patients with ALS (n = 41), Parkinson’s disease (n = 19) and healthy control participants (n = 20). Weighted correlation network analysis was used to identify modules within the CSF protein network and combined with gene ontology enrichment analysis to functionally annotate module proteins. Analysis of module eigenproteins and differential correlation analysis of the CSF protein network was used to compare ALS and Parkinson’s disease protein co-correlation with healthy controls. In order to monitor temporal changes in the CSF proteome, we performed longitudinal analysis of the CSF proteome in a subset of ALS patients. RESULTS: Weighted correlation network analysis identified 10 modules, including those enriched for terms involved in gene expression including nucleic acid binding, RNA metabolism and translation; humoral immune system function, including complement pathways; membrane proteins, axonal outgrowth and adherence; and glutamatergic synapses. Immune system module eigenproteins were increased in ALS, whilst axonal module eigenproteins were decreased in ALS. The 19 altered protein correlations in ALS were enriched for gene expression (OR 3.05, p = 0.017) and membrane protein modules (OR 17.48, p = 0.011), including intramodular hub proteins previously identified as TDP-43 interactors. Proteins decreasing over longitudinal analysis ALS were enriched in glutamatergic synapse and axonal outgrowth modules. Protein correlation network disruptions in Parkinson’s disease showed no module enrichment. CONCLUSIONS: Alterations in the co-correlation network in CSF samples identified a set of pathways known to be associated with TDP-43 dysfunction in the pathogenesis of ALS, with important implications for therapeutic targeting and biomarker development. |
format | Online Article Text |
id | pubmed-8010303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80103032021-04-01 Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS Thompson, Alexander G. Gray, Elizabeth Charles, Philip D. Hu, Michele T. M. Talbot, Kevin Fischer, Roman Kessler, Benedikt M. Turner, Martin R. Front Neurosci Neuroscience BACKGROUND: Amyotrophic lateral sclerosis is a clinical syndrome with complex biological determinants, but which in most cases is characterized by TDP-43 pathology. The identification in CSF of a protein signature of TDP-43 network dysfunction would have the potential to inform the identification of new biomarkers and therapeutic targets. METHODS: We compared CSF proteomic data from patients with ALS (n = 41), Parkinson’s disease (n = 19) and healthy control participants (n = 20). Weighted correlation network analysis was used to identify modules within the CSF protein network and combined with gene ontology enrichment analysis to functionally annotate module proteins. Analysis of module eigenproteins and differential correlation analysis of the CSF protein network was used to compare ALS and Parkinson’s disease protein co-correlation with healthy controls. In order to monitor temporal changes in the CSF proteome, we performed longitudinal analysis of the CSF proteome in a subset of ALS patients. RESULTS: Weighted correlation network analysis identified 10 modules, including those enriched for terms involved in gene expression including nucleic acid binding, RNA metabolism and translation; humoral immune system function, including complement pathways; membrane proteins, axonal outgrowth and adherence; and glutamatergic synapses. Immune system module eigenproteins were increased in ALS, whilst axonal module eigenproteins were decreased in ALS. The 19 altered protein correlations in ALS were enriched for gene expression (OR 3.05, p = 0.017) and membrane protein modules (OR 17.48, p = 0.011), including intramodular hub proteins previously identified as TDP-43 interactors. Proteins decreasing over longitudinal analysis ALS were enriched in glutamatergic synapse and axonal outgrowth modules. Protein correlation network disruptions in Parkinson’s disease showed no module enrichment. CONCLUSIONS: Alterations in the co-correlation network in CSF samples identified a set of pathways known to be associated with TDP-43 dysfunction in the pathogenesis of ALS, with important implications for therapeutic targeting and biomarker development. Frontiers Media S.A. 2021-03-17 /pmc/articles/PMC8010303/ /pubmed/33815045 http://dx.doi.org/10.3389/fnins.2021.642324 Text en Copyright © 2021 Thompson, Gray, Charles, Hu, Talbot, Fischer, Kessler and Turner. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Thompson, Alexander G. Gray, Elizabeth Charles, Philip D. Hu, Michele T. M. Talbot, Kevin Fischer, Roman Kessler, Benedikt M. Turner, Martin R. Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS |
title | Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS |
title_full | Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS |
title_fullStr | Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS |
title_full_unstemmed | Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS |
title_short | Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS |
title_sort | network analysis of the csf proteome characterizes convergent pathways of cellular dysfunction in als |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010303/ https://www.ncbi.nlm.nih.gov/pubmed/33815045 http://dx.doi.org/10.3389/fnins.2021.642324 |
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