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Serum BICC1 levels are significantly different in various mood disorders

PURPOSE: Mood disorders are recurrent chronic disorders with fluctuating mood states and energy, and misdiagnosis is common when based solely on clinical interviews because of overlapping symptoms. Because misdiagnosis may lead to inappropriate treatment and poor prognosis, finding an easily impleme...

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Autores principales: Chen, Suzhen, Jiang, Haitang, Xu, Zhi, Zhao, Jingjing, Wang, Ming, Lu, Yan, Li, Jianhua, Sun, Fei, Yuan, Yonggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339641/
https://www.ncbi.nlm.nih.gov/pubmed/30697050
http://dx.doi.org/10.2147/NDT.S190048
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author Chen, Suzhen
Jiang, Haitang
Xu, Zhi
Zhao, Jingjing
Wang, Ming
Lu, Yan
Li, Jianhua
Sun, Fei
Yuan, Yonggui
author_facet Chen, Suzhen
Jiang, Haitang
Xu, Zhi
Zhao, Jingjing
Wang, Ming
Lu, Yan
Li, Jianhua
Sun, Fei
Yuan, Yonggui
author_sort Chen, Suzhen
collection PubMed
description PURPOSE: Mood disorders are recurrent chronic disorders with fluctuating mood states and energy, and misdiagnosis is common when based solely on clinical interviews because of overlapping symptoms. Because misdiagnosis may lead to inappropriate treatment and poor prognosis, finding an easily implemented objective tool for the discrimination of different mood disorders is very necessary and urgent. However, there has been no accepted objective tool until now. Recently, BICC1 has been identified as a candidate gene relating to major depressive disorder (MDD). Therefore, the aim of this study is to evaluate the ability of serum BICC1 to discriminate between various mood disorders, including MDD and the manic and depressive phases of bipolar disorder, namely bipolar mania (BM) and bipolar depression (BD). PATIENTS AND METHODS: Serum BICC1 levels in drug-free patients with MDD (n=30), BM (n=30), and BD (n=13), and well-matched healthy controls (HC, n=30) were measured with ELISA kits. Pearson correlation analyses were used to analyze the correlations between serum BICC1 levels and clinical information. Receiver operating characteristic (ROC) curve analysis was used to analyze the differential discriminative potential of BICC1 for different mood disorders. RESULTS: One-way ANOVA indicated that serum BICC1 levels were significantly increased in all patient groups compared with the HC group and significantly different between each pair of patient groups. Correlation analyses found no relationship between serum BICC1 levels and any clinical variables in any study group. ROC curve analysis showed that serum BICC1 could discriminate among all three mood disorders from each other accurately with fair-to-excellent discriminatory capacity (area under the ROC curve from 0.787 to 1.0). CONCLUSION: The findings of this preliminary study indicated significant differences in serum BICC1 levels in patients with different mood disorders. This study provides preliminary evidence that serum BICC1 may be regarded as a promising, objective, easy-to-use tool for diagnosing different mood disorders.
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spelling pubmed-63396412019-01-29 Serum BICC1 levels are significantly different in various mood disorders Chen, Suzhen Jiang, Haitang Xu, Zhi Zhao, Jingjing Wang, Ming Lu, Yan Li, Jianhua Sun, Fei Yuan, Yonggui Neuropsychiatr Dis Treat Original Research PURPOSE: Mood disorders are recurrent chronic disorders with fluctuating mood states and energy, and misdiagnosis is common when based solely on clinical interviews because of overlapping symptoms. Because misdiagnosis may lead to inappropriate treatment and poor prognosis, finding an easily implemented objective tool for the discrimination of different mood disorders is very necessary and urgent. However, there has been no accepted objective tool until now. Recently, BICC1 has been identified as a candidate gene relating to major depressive disorder (MDD). Therefore, the aim of this study is to evaluate the ability of serum BICC1 to discriminate between various mood disorders, including MDD and the manic and depressive phases of bipolar disorder, namely bipolar mania (BM) and bipolar depression (BD). PATIENTS AND METHODS: Serum BICC1 levels in drug-free patients with MDD (n=30), BM (n=30), and BD (n=13), and well-matched healthy controls (HC, n=30) were measured with ELISA kits. Pearson correlation analyses were used to analyze the correlations between serum BICC1 levels and clinical information. Receiver operating characteristic (ROC) curve analysis was used to analyze the differential discriminative potential of BICC1 for different mood disorders. RESULTS: One-way ANOVA indicated that serum BICC1 levels were significantly increased in all patient groups compared with the HC group and significantly different between each pair of patient groups. Correlation analyses found no relationship between serum BICC1 levels and any clinical variables in any study group. ROC curve analysis showed that serum BICC1 could discriminate among all three mood disorders from each other accurately with fair-to-excellent discriminatory capacity (area under the ROC curve from 0.787 to 1.0). CONCLUSION: The findings of this preliminary study indicated significant differences in serum BICC1 levels in patients with different mood disorders. This study provides preliminary evidence that serum BICC1 may be regarded as a promising, objective, easy-to-use tool for diagnosing different mood disorders. Dove Medical Press 2019-01-15 /pmc/articles/PMC6339641/ /pubmed/30697050 http://dx.doi.org/10.2147/NDT.S190048 Text en © 2019 Chen et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Chen, Suzhen
Jiang, Haitang
Xu, Zhi
Zhao, Jingjing
Wang, Ming
Lu, Yan
Li, Jianhua
Sun, Fei
Yuan, Yonggui
Serum BICC1 levels are significantly different in various mood disorders
title Serum BICC1 levels are significantly different in various mood disorders
title_full Serum BICC1 levels are significantly different in various mood disorders
title_fullStr Serum BICC1 levels are significantly different in various mood disorders
title_full_unstemmed Serum BICC1 levels are significantly different in various mood disorders
title_short Serum BICC1 levels are significantly different in various mood disorders
title_sort serum bicc1 levels are significantly different in various mood disorders
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339641/
https://www.ncbi.nlm.nih.gov/pubmed/30697050
http://dx.doi.org/10.2147/NDT.S190048
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