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Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures

OBJECTIVE: Multiple sclerosis (MS) is an inflammatory, demyelinating and neurodegenerative disease of the central nervous system (CNS). Though MS was initially considered to be a white matter demyelinating disease, myelin loss in cortical gray matter has been reported in all disease stages. We previ...

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Autores principales: Tripathi, Ajai, Pandit, Ishani, Perles, Aaron, Zhou, Yadi, Cheng, Feixiong, Dutta, Ranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164853/
https://www.ncbi.nlm.nih.gov/pubmed/33978322
http://dx.doi.org/10.1002/acn3.51365
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author Tripathi, Ajai
Pandit, Ishani
Perles, Aaron
Zhou, Yadi
Cheng, Feixiong
Dutta, Ranjan
author_facet Tripathi, Ajai
Pandit, Ishani
Perles, Aaron
Zhou, Yadi
Cheng, Feixiong
Dutta, Ranjan
author_sort Tripathi, Ajai
collection PubMed
description OBJECTIVE: Multiple sclerosis (MS) is an inflammatory, demyelinating and neurodegenerative disease of the central nervous system (CNS). Though MS was initially considered to be a white matter demyelinating disease, myelin loss in cortical gray matter has been reported in all disease stages. We previously identified microRNAs (miRNAs) in white matter lesions (WMLs) that are detected in serum from MS patients. However, miRNA expression profiles in gray matter lesions (GMLs) from progressive MS brains are understudied. METHODS: We used a combination of global miRNAs and gene expression profiling of GMLs and independent validation using real‐time quantitative polymerase chain reaction (RT‐qPCR), immuno‐in situ hybridization, and immunohistochemistry. RESULTS: Compared to matched myelinated gray matter (GM) regions, we identified 82 miRNAs in GMLs, of which 10 were significantly upregulated and 17 were significantly downregulated. Among these 82 miRNAs, 13 were also detected in serum and importantly were associated with brain atrophy in MS patients. The predicted target mRNAs of these miRNAs belonged to pathways associated with axonal guidance, TGF‐β signaling, and FOXO signaling. Further, using state‐of‐the‐art human protein–protein interactome network analysis, we mapped the four key GM atrophy‐associated miRNAs (hsa‐miR‐149*, hsa‐miR‐20a, hsa‐miR‐29c, and hsa‐miR‐25) to their target mRNAs that were also changed in GMLs. INTERPRETATION: Our study identifies miRNAs altered in GMLs in progressive MS brains that correlate with atrophy measures. As these miRNAs were also detected in sera of MS patients, these could act as markers of GML demyelination in MS.
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spelling pubmed-81648532021-06-15 Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures Tripathi, Ajai Pandit, Ishani Perles, Aaron Zhou, Yadi Cheng, Feixiong Dutta, Ranjan Ann Clin Transl Neurol Research Articles OBJECTIVE: Multiple sclerosis (MS) is an inflammatory, demyelinating and neurodegenerative disease of the central nervous system (CNS). Though MS was initially considered to be a white matter demyelinating disease, myelin loss in cortical gray matter has been reported in all disease stages. We previously identified microRNAs (miRNAs) in white matter lesions (WMLs) that are detected in serum from MS patients. However, miRNA expression profiles in gray matter lesions (GMLs) from progressive MS brains are understudied. METHODS: We used a combination of global miRNAs and gene expression profiling of GMLs and independent validation using real‐time quantitative polymerase chain reaction (RT‐qPCR), immuno‐in situ hybridization, and immunohistochemistry. RESULTS: Compared to matched myelinated gray matter (GM) regions, we identified 82 miRNAs in GMLs, of which 10 were significantly upregulated and 17 were significantly downregulated. Among these 82 miRNAs, 13 were also detected in serum and importantly were associated with brain atrophy in MS patients. The predicted target mRNAs of these miRNAs belonged to pathways associated with axonal guidance, TGF‐β signaling, and FOXO signaling. Further, using state‐of‐the‐art human protein–protein interactome network analysis, we mapped the four key GM atrophy‐associated miRNAs (hsa‐miR‐149*, hsa‐miR‐20a, hsa‐miR‐29c, and hsa‐miR‐25) to their target mRNAs that were also changed in GMLs. INTERPRETATION: Our study identifies miRNAs altered in GMLs in progressive MS brains that correlate with atrophy measures. As these miRNAs were also detected in sera of MS patients, these could act as markers of GML demyelination in MS. John Wiley and Sons Inc. 2021-05-12 /pmc/articles/PMC8164853/ /pubmed/33978322 http://dx.doi.org/10.1002/acn3.51365 Text en © 2021 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Tripathi, Ajai
Pandit, Ishani
Perles, Aaron
Zhou, Yadi
Cheng, Feixiong
Dutta, Ranjan
Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures
title Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures
title_full Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures
title_fullStr Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures
title_full_unstemmed Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures
title_short Identifying miRNAs in multiple sclerosis gray matter lesions that correlate with atrophy measures
title_sort identifying mirnas in multiple sclerosis gray matter lesions that correlate with atrophy measures
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164853/
https://www.ncbi.nlm.nih.gov/pubmed/33978322
http://dx.doi.org/10.1002/acn3.51365
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