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Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder
The diagnosis of Bipolar II disorder (BD-II) is currently based on the patients’ description of symptoms and clinical behavioral observations. This study explored the possibility of miRNA in peripheral blood (serum) as a specific biomarker for BD-II. We identified 6 candidate miRNAs to differentiate...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981268/ https://www.ncbi.nlm.nih.gov/pubmed/31980721 http://dx.doi.org/10.1038/s41598-020-58195-0 |
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author | Lee, Sheng-Yu Lu, Ru-Band Wang, Liang-Jen Chang, Cheng-Ho Lu, Ti Wang, Tzu-Yun Tsai, Kuo-Wang |
author_facet | Lee, Sheng-Yu Lu, Ru-Band Wang, Liang-Jen Chang, Cheng-Ho Lu, Ti Wang, Tzu-Yun Tsai, Kuo-Wang |
author_sort | Lee, Sheng-Yu |
collection | PubMed |
description | The diagnosis of Bipolar II disorder (BD-II) is currently based on the patients’ description of symptoms and clinical behavioral observations. This study explored the possibility of miRNA in peripheral blood (serum) as a specific biomarker for BD-II. We identified 6 candidate miRNAs to differentiate BD-II patients from controls using next-generation sequencing. We then examined these candidate miRNAs using real-time PCR in the first cohort (as training group) of 79 BD-II and 95 controls. A diagnostic model was built based on these candidate miRNAs and then tested on an individual testing group (BD-II: n = 20, controls: n = 20). We found that serum expression levels of miR-7-5p, miR-23b-3p, miR-142-3p, miR-221-5p, and miR-370-3p significantly increased in BD-II compared with controls in the first cohort, whereas that of miR-145-5p showed no significant difference. The diagnostic power of the identified miRNAs was further analyzed using receiver-operating characteristic (ROC). Support vector machine (SVM) measurements revealed that a combination of the significant miRNAs reached good diagnostic accuracy (AUC: 0.907). We further examined an independent testing group and the diagnostic power reached fair for BD-II (specificity = 90%, sensitivity = 85%). We constructed miRNA panels using SVM model, which may aid in the diagnosis for BD-II. |
format | Online Article Text |
id | pubmed-6981268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69812682020-01-30 Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder Lee, Sheng-Yu Lu, Ru-Band Wang, Liang-Jen Chang, Cheng-Ho Lu, Ti Wang, Tzu-Yun Tsai, Kuo-Wang Sci Rep Article The diagnosis of Bipolar II disorder (BD-II) is currently based on the patients’ description of symptoms and clinical behavioral observations. This study explored the possibility of miRNA in peripheral blood (serum) as a specific biomarker for BD-II. We identified 6 candidate miRNAs to differentiate BD-II patients from controls using next-generation sequencing. We then examined these candidate miRNAs using real-time PCR in the first cohort (as training group) of 79 BD-II and 95 controls. A diagnostic model was built based on these candidate miRNAs and then tested on an individual testing group (BD-II: n = 20, controls: n = 20). We found that serum expression levels of miR-7-5p, miR-23b-3p, miR-142-3p, miR-221-5p, and miR-370-3p significantly increased in BD-II compared with controls in the first cohort, whereas that of miR-145-5p showed no significant difference. The diagnostic power of the identified miRNAs was further analyzed using receiver-operating characteristic (ROC). Support vector machine (SVM) measurements revealed that a combination of the significant miRNAs reached good diagnostic accuracy (AUC: 0.907). We further examined an independent testing group and the diagnostic power reached fair for BD-II (specificity = 90%, sensitivity = 85%). We constructed miRNA panels using SVM model, which may aid in the diagnosis for BD-II. Nature Publishing Group UK 2020-01-24 /pmc/articles/PMC6981268/ /pubmed/31980721 http://dx.doi.org/10.1038/s41598-020-58195-0 Text en © The Author(s) 2020 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/. |
spellingShingle | Article Lee, Sheng-Yu Lu, Ru-Band Wang, Liang-Jen Chang, Cheng-Ho Lu, Ti Wang, Tzu-Yun Tsai, Kuo-Wang Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder |
title | Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder |
title_full | Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder |
title_fullStr | Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder |
title_full_unstemmed | Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder |
title_short | Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder |
title_sort | serum mirna as a possible biomarker in the diagnosis of bipolar ii disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981268/ https://www.ncbi.nlm.nih.gov/pubmed/31980721 http://dx.doi.org/10.1038/s41598-020-58195-0 |
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