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Profiling Microglia in a Mouse Model of Machado–Joseph Disease
Microglia have been increasingly implicated in neurodegenerative diseases (NDs), and specific disease associated microglia (DAM) profiles have been defined for several of these NDs. Yet, the microglial profile in Machado–Joseph disease (MJD) remains unexplored. Here, we characterized the profile of...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869404/ https://www.ncbi.nlm.nih.gov/pubmed/35203447 http://dx.doi.org/10.3390/biomedicines10020237 |
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author | Campos, Ana Bela Duarte-Silva, Sara Fernandes, Bruno das Neves, Sofia Pereira Marques, Fernanda Teixeira-Castro, Andreia Neves-Carvalho, Andreia Monteiro-Fernandes, Daniela Portugal, Camila Cabral Socodato, Renato Summavielle, Teresa Ambrósio, António Francisco Relvas, João Bettencourt Maciel, Patrícia |
author_facet | Campos, Ana Bela Duarte-Silva, Sara Fernandes, Bruno das Neves, Sofia Pereira Marques, Fernanda Teixeira-Castro, Andreia Neves-Carvalho, Andreia Monteiro-Fernandes, Daniela Portugal, Camila Cabral Socodato, Renato Summavielle, Teresa Ambrósio, António Francisco Relvas, João Bettencourt Maciel, Patrícia |
author_sort | Campos, Ana Bela |
collection | PubMed |
description | Microglia have been increasingly implicated in neurodegenerative diseases (NDs), and specific disease associated microglia (DAM) profiles have been defined for several of these NDs. Yet, the microglial profile in Machado–Joseph disease (MJD) remains unexplored. Here, we characterized the profile of microglia in the CMVMJD135 mouse model of MJD. This characterization was performed using primary microglial cultures and microglial cells obtained from disease-relevant brain regions of neonatal and adult CMVMJD135 mice, respectively. Machine learning models were implemented to identify potential clusters of microglia based on their morphological features, and an RNA-sequencing analysis was performed to identify molecular perturbations and potential therapeutic targets. Our findings reveal morphological alterations that point to an increased activation state of microglia in CMVMJD135 mice and a disease-specific transcriptional profile of MJD microglia, encompassing a total of 101 differentially expressed genes, with enrichment in molecular pathways related to oxidative stress, immune response, cell proliferation, cell death, and lipid metabolism. Overall, these results allowed us to define the cellular and molecular profile of MJD-associated microglia and to identify genes and pathways that might represent potential therapeutic targets for this disorder. |
format | Online Article Text |
id | pubmed-8869404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88694042022-02-25 Profiling Microglia in a Mouse Model of Machado–Joseph Disease Campos, Ana Bela Duarte-Silva, Sara Fernandes, Bruno das Neves, Sofia Pereira Marques, Fernanda Teixeira-Castro, Andreia Neves-Carvalho, Andreia Monteiro-Fernandes, Daniela Portugal, Camila Cabral Socodato, Renato Summavielle, Teresa Ambrósio, António Francisco Relvas, João Bettencourt Maciel, Patrícia Biomedicines Article Microglia have been increasingly implicated in neurodegenerative diseases (NDs), and specific disease associated microglia (DAM) profiles have been defined for several of these NDs. Yet, the microglial profile in Machado–Joseph disease (MJD) remains unexplored. Here, we characterized the profile of microglia in the CMVMJD135 mouse model of MJD. This characterization was performed using primary microglial cultures and microglial cells obtained from disease-relevant brain regions of neonatal and adult CMVMJD135 mice, respectively. Machine learning models were implemented to identify potential clusters of microglia based on their morphological features, and an RNA-sequencing analysis was performed to identify molecular perturbations and potential therapeutic targets. Our findings reveal morphological alterations that point to an increased activation state of microglia in CMVMJD135 mice and a disease-specific transcriptional profile of MJD microglia, encompassing a total of 101 differentially expressed genes, with enrichment in molecular pathways related to oxidative stress, immune response, cell proliferation, cell death, and lipid metabolism. Overall, these results allowed us to define the cellular and molecular profile of MJD-associated microglia and to identify genes and pathways that might represent potential therapeutic targets for this disorder. MDPI 2022-01-23 /pmc/articles/PMC8869404/ /pubmed/35203447 http://dx.doi.org/10.3390/biomedicines10020237 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Campos, Ana Bela Duarte-Silva, Sara Fernandes, Bruno das Neves, Sofia Pereira Marques, Fernanda Teixeira-Castro, Andreia Neves-Carvalho, Andreia Monteiro-Fernandes, Daniela Portugal, Camila Cabral Socodato, Renato Summavielle, Teresa Ambrósio, António Francisco Relvas, João Bettencourt Maciel, Patrícia Profiling Microglia in a Mouse Model of Machado–Joseph Disease |
title | Profiling Microglia in a Mouse Model of Machado–Joseph Disease |
title_full | Profiling Microglia in a Mouse Model of Machado–Joseph Disease |
title_fullStr | Profiling Microglia in a Mouse Model of Machado–Joseph Disease |
title_full_unstemmed | Profiling Microglia in a Mouse Model of Machado–Joseph Disease |
title_short | Profiling Microglia in a Mouse Model of Machado–Joseph Disease |
title_sort | profiling microglia in a mouse model of machado–joseph disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869404/ https://www.ncbi.nlm.nih.gov/pubmed/35203447 http://dx.doi.org/10.3390/biomedicines10020237 |
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