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Molecular subtypes of epilepsy associated with post-surgical seizure recurrence
Approximately 50% of individuals who undergo resective epilepsy surgery experience seizure recurrence. The heterogenous post-operative outcomes are not fully explained by clinical, imaging and electrophysiological variables. We hypothesized that molecular features may be useful in understanding surg...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597540/ https://www.ncbi.nlm.nih.gov/pubmed/37881482 http://dx.doi.org/10.1093/braincomms/fcad251 |
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author | Hershberger, Courtney E Louis, Shreya Busch, Robyn M Vegh, Deborah Najm, Imad Bazeley, Peter Eng, Charis Jehi, Lara Rotroff, Daniel M |
author_facet | Hershberger, Courtney E Louis, Shreya Busch, Robyn M Vegh, Deborah Najm, Imad Bazeley, Peter Eng, Charis Jehi, Lara Rotroff, Daniel M |
author_sort | Hershberger, Courtney E |
collection | PubMed |
description | Approximately 50% of individuals who undergo resective epilepsy surgery experience seizure recurrence. The heterogenous post-operative outcomes are not fully explained by clinical, imaging and electrophysiological variables. We hypothesized that molecular features may be useful in understanding surgical response, and that individuals with epilepsy can be classified into molecular subtypes that are associated with seizure freedom or recurrence after surgical resection. Pre-operative blood samples, brain tissue and post-operative seizure outcomes were collected from a cohort of 40 individuals with temporal lobe epilepsy, 23 of whom experienced post-operative seizure recurrence. Messenger RNA and microRNA extracted from the blood and tissue samples were sequenced. The messenger RNA and microRNA expression levels from the blood and brain were each subjected to a novel clustering approach combined with multiple logistic regression to separate individuals into genetic clusters that identify novel subtypes associated with post-operative seizure outcomes. We then compared the microRNAs and messenger RNAs from patient blood and brain tissue that were significantly associated with each subtype to identify signatures that are similarly over- or under-represented for an outcome and more likely to represent endophenotypes with common molecular aetiology. These target microRNAs and messenger RNAs were further characterized by pathway analysis to assess their functional role in epilepsy. Using blood-derived microRNA and messenger RNA expression levels, we identified two subtypes of epilepsy that were significantly associated with seizure recurrence (clusters A1 and B4) (adjusted P < 0.20). A total of 551 microRNAs and 2486 messenger RNAs were associated with clusters A1 and B4, respectively (adjusted P < 0.05). Clustering of brain–tissue messenger RNA expression levels revealed an additional subtype (C2) associated with seizure recurrence that had high overlap of dysregulated messenger RNA transcripts with cluster B4. Clusters A1, B4 and C2 also shared significant overlap of subjects, which altogether suggests a coordinated mechanism by which microRNA and messenger RNA transcripts may be related to seizure recurrence. Epileptic subtypes A1, B4 and C2 reveal both known and novel microRNA and messenger RNA targets in seizure recurrence. Furthermore, targets identified in A1 and B4 are quantifiable in pre-operative blood samples and could potentially serve as biomarkers for surgical resection outcomes. |
format | Online Article Text |
id | pubmed-10597540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105975402023-10-25 Molecular subtypes of epilepsy associated with post-surgical seizure recurrence Hershberger, Courtney E Louis, Shreya Busch, Robyn M Vegh, Deborah Najm, Imad Bazeley, Peter Eng, Charis Jehi, Lara Rotroff, Daniel M Brain Commun Original Article Approximately 50% of individuals who undergo resective epilepsy surgery experience seizure recurrence. The heterogenous post-operative outcomes are not fully explained by clinical, imaging and electrophysiological variables. We hypothesized that molecular features may be useful in understanding surgical response, and that individuals with epilepsy can be classified into molecular subtypes that are associated with seizure freedom or recurrence after surgical resection. Pre-operative blood samples, brain tissue and post-operative seizure outcomes were collected from a cohort of 40 individuals with temporal lobe epilepsy, 23 of whom experienced post-operative seizure recurrence. Messenger RNA and microRNA extracted from the blood and tissue samples were sequenced. The messenger RNA and microRNA expression levels from the blood and brain were each subjected to a novel clustering approach combined with multiple logistic regression to separate individuals into genetic clusters that identify novel subtypes associated with post-operative seizure outcomes. We then compared the microRNAs and messenger RNAs from patient blood and brain tissue that were significantly associated with each subtype to identify signatures that are similarly over- or under-represented for an outcome and more likely to represent endophenotypes with common molecular aetiology. These target microRNAs and messenger RNAs were further characterized by pathway analysis to assess their functional role in epilepsy. Using blood-derived microRNA and messenger RNA expression levels, we identified two subtypes of epilepsy that were significantly associated with seizure recurrence (clusters A1 and B4) (adjusted P < 0.20). A total of 551 microRNAs and 2486 messenger RNAs were associated with clusters A1 and B4, respectively (adjusted P < 0.05). Clustering of brain–tissue messenger RNA expression levels revealed an additional subtype (C2) associated with seizure recurrence that had high overlap of dysregulated messenger RNA transcripts with cluster B4. Clusters A1, B4 and C2 also shared significant overlap of subjects, which altogether suggests a coordinated mechanism by which microRNA and messenger RNA transcripts may be related to seizure recurrence. Epileptic subtypes A1, B4 and C2 reveal both known and novel microRNA and messenger RNA targets in seizure recurrence. Furthermore, targets identified in A1 and B4 are quantifiable in pre-operative blood samples and could potentially serve as biomarkers for surgical resection outcomes. Oxford University Press 2023-09-30 /pmc/articles/PMC10597540/ /pubmed/37881482 http://dx.doi.org/10.1093/braincomms/fcad251 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Hershberger, Courtney E Louis, Shreya Busch, Robyn M Vegh, Deborah Najm, Imad Bazeley, Peter Eng, Charis Jehi, Lara Rotroff, Daniel M Molecular subtypes of epilepsy associated with post-surgical seizure recurrence |
title | Molecular subtypes of epilepsy associated with post-surgical seizure recurrence |
title_full | Molecular subtypes of epilepsy associated with post-surgical seizure recurrence |
title_fullStr | Molecular subtypes of epilepsy associated with post-surgical seizure recurrence |
title_full_unstemmed | Molecular subtypes of epilepsy associated with post-surgical seizure recurrence |
title_short | Molecular subtypes of epilepsy associated with post-surgical seizure recurrence |
title_sort | molecular subtypes of epilepsy associated with post-surgical seizure recurrence |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597540/ https://www.ncbi.nlm.nih.gov/pubmed/37881482 http://dx.doi.org/10.1093/braincomms/fcad251 |
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