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Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia
Early-onset schizophrenia (EOS) may have stronger familial aggregation and a more severe outcome than adult-onset schizophrenia (AOS). MicroRNA (miRNA) takes on dual roles as a genetic and epigenetic modulator, which may mediate the influence of genetic risk. Neurological soft signs (NSS) are neurol...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257739/ https://www.ncbi.nlm.nih.gov/pubmed/34226568 http://dx.doi.org/10.1038/s41537-021-00164-1 |
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author | Chen, Bao-Yu Lin, Jin-Jia Lu, Ming-Kun Tan, Hung-Pin Jang, Fong-Lin Lin, Sheng-Hsiang |
author_facet | Chen, Bao-Yu Lin, Jin-Jia Lu, Ming-Kun Tan, Hung-Pin Jang, Fong-Lin Lin, Sheng-Hsiang |
author_sort | Chen, Bao-Yu |
collection | PubMed |
description | Early-onset schizophrenia (EOS) may have stronger familial aggregation and a more severe outcome than adult-onset schizophrenia (AOS). MicroRNA (miRNA) takes on dual roles as a genetic and epigenetic modulator, which may mediate the influence of genetic risk. Neurological soft signs (NSS) are neurological abnormalities that may be intermediate phenotypes or endophenotypes for schizophrenia. Our previous study found poorer performance on NSS tests from patients with EOS and their unaffected first-degree relatives. Thus, we aimed to identify a set of aberrant neurodevelopmental-related miRNAs that could serve as potential biomarkers for EOS or schizophrenia with NSS. This study included 215 schizophrenia patients (104 EOS and 111 AOS), 72 unaffected first-degree relatives, 31 patients with bipolar disorder, and 100 healthy controls. Differential expression analysis revealed that miR-137, miR-34b, and miR-34c were significantly up-regulated in patients with schizophrenia and their unaffected first-degree relatives compared to healthy controls. Receiver operating characteristic (ROC) analysis showed that the miR-137 expression signature could be used to discriminate between patients with EOS and healthy controls (AUC = 0.911). Additionally, miR-34b had the highest ability to discriminate between EOS and AOS (AUC = 0.810), which may indicate different aetiological pathways to disease onset. Moreover, miR-137 dysregulation was correlated with almost all NSS subscales (i.e., sensory integration, motor sequencing, etc.) and, when EOS patients with NSS, miR-137 expression discriminated these patients from healthy controls to a greater extent (AUC = 0.957). These findings support the potential for neurodevelopmental-related miRNAs to be used as indicators of vulnerability to EOS. |
format | Online Article Text |
id | pubmed-8257739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82577392021-07-23 Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia Chen, Bao-Yu Lin, Jin-Jia Lu, Ming-Kun Tan, Hung-Pin Jang, Fong-Lin Lin, Sheng-Hsiang NPJ Schizophr Article Early-onset schizophrenia (EOS) may have stronger familial aggregation and a more severe outcome than adult-onset schizophrenia (AOS). MicroRNA (miRNA) takes on dual roles as a genetic and epigenetic modulator, which may mediate the influence of genetic risk. Neurological soft signs (NSS) are neurological abnormalities that may be intermediate phenotypes or endophenotypes for schizophrenia. Our previous study found poorer performance on NSS tests from patients with EOS and their unaffected first-degree relatives. Thus, we aimed to identify a set of aberrant neurodevelopmental-related miRNAs that could serve as potential biomarkers for EOS or schizophrenia with NSS. This study included 215 schizophrenia patients (104 EOS and 111 AOS), 72 unaffected first-degree relatives, 31 patients with bipolar disorder, and 100 healthy controls. Differential expression analysis revealed that miR-137, miR-34b, and miR-34c were significantly up-regulated in patients with schizophrenia and their unaffected first-degree relatives compared to healthy controls. Receiver operating characteristic (ROC) analysis showed that the miR-137 expression signature could be used to discriminate between patients with EOS and healthy controls (AUC = 0.911). Additionally, miR-34b had the highest ability to discriminate between EOS and AOS (AUC = 0.810), which may indicate different aetiological pathways to disease onset. Moreover, miR-137 dysregulation was correlated with almost all NSS subscales (i.e., sensory integration, motor sequencing, etc.) and, when EOS patients with NSS, miR-137 expression discriminated these patients from healthy controls to a greater extent (AUC = 0.957). These findings support the potential for neurodevelopmental-related miRNAs to be used as indicators of vulnerability to EOS. Nature Publishing Group UK 2021-07-05 /pmc/articles/PMC8257739/ /pubmed/34226568 http://dx.doi.org/10.1038/s41537-021-00164-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Bao-Yu Lin, Jin-Jia Lu, Ming-Kun Tan, Hung-Pin Jang, Fong-Lin Lin, Sheng-Hsiang Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia |
title | Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia |
title_full | Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia |
title_fullStr | Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia |
title_full_unstemmed | Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia |
title_short | Neurodevelopment regulators miR-137 and miR-34 family as biomarkers for early and adult onset schizophrenia |
title_sort | neurodevelopment regulators mir-137 and mir-34 family as biomarkers for early and adult onset schizophrenia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257739/ https://www.ncbi.nlm.nih.gov/pubmed/34226568 http://dx.doi.org/10.1038/s41537-021-00164-1 |
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