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Comparison of serum protein profiles between major depressive disorder and bipolar disorder
BACKGROUND: Major depressive disorder and bipolar disorder are prevalent and debilitating psychiatric disorders that are difficult to distinguish, as their diagnosis is based on behavioural observations and subjective symptoms. Quantitative protein profile analysis might help to objectively distingu...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118970/ https://www.ncbi.nlm.nih.gov/pubmed/32245436 http://dx.doi.org/10.1186/s12888-020-02540-0 |
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author | Rhee, Sang Jin Han, Dohyun Lee, Yunna Kim, Hyeyoung Lee, Junhee Lee, Kangeun Shin, Hyunsuk Kim, Hyeyoon Lee, Tae Young Kim, Minah Kim, Se Hyun Ahn, Yong Min Kwon, Jun Soo Ha, Kyooseob |
author_facet | Rhee, Sang Jin Han, Dohyun Lee, Yunna Kim, Hyeyoung Lee, Junhee Lee, Kangeun Shin, Hyunsuk Kim, Hyeyoon Lee, Tae Young Kim, Minah Kim, Se Hyun Ahn, Yong Min Kwon, Jun Soo Ha, Kyooseob |
author_sort | Rhee, Sang Jin |
collection | PubMed |
description | BACKGROUND: Major depressive disorder and bipolar disorder are prevalent and debilitating psychiatric disorders that are difficult to distinguish, as their diagnosis is based on behavioural observations and subjective symptoms. Quantitative protein profile analysis might help to objectively distinguish between these disorders and increase our understanding of their pathophysiology. Thus, this study was conducted to compare the peripheral protein profiles between the two disorders. METHODS: Serum samples were collected from 18 subjects with major depressive disorder and 15 subjects with bipolar disorder. After depleting abundant proteins, liquid chromatography-tandem mass spectrometry (LC-MS/MS) and label-free quantification were performed. Data-dependent acquisition data were statistically analysed from the samples of 15 subjects with major depressive disorder and 10 subjects with bipolar disorder who were psychotropic drug-free. Two-sided t-tests were performed for pairwise comparisons of proteomes to detect differentially-expressed proteins (DEPs). Ingenuity Pathway Analysis of canonical pathways, disease and functions, and protein networks based on these DEPs was further conducted. RESULTS: Fourteen DEPs were significant between subjects with major depressive disorder and those with bipolar disorder. Ras-related protein Rab-7a (t = 5.975, p = 4.3 × 10(− 6)) and Rho-associated protein kinase 2 (t = 4.782, p = 8.0 × 10(− 5)) were significantly overexpressed in subjects with major depressive disorder and Exportin-7 (t = -4.520, p = 1.5 × 10(− 4)) was significantly overexpressed in subjects with bipolar disorder after considering multiple comparisons. Bioinformatics analysis showed that cellular functions and inflammation/immune pathways were significantly different. CONCLUSIONS: Ras-related protein Rab-7a, Rho-associated protein kinase 2, and Exportin-7 were identified as potential peripheral protein candidates to distinguish major depressive disorder and bipolar disorder. Further large sample studies with longitudinal designs and validation processes are warranted. |
format | Online Article Text |
id | pubmed-7118970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71189702020-04-07 Comparison of serum protein profiles between major depressive disorder and bipolar disorder Rhee, Sang Jin Han, Dohyun Lee, Yunna Kim, Hyeyoung Lee, Junhee Lee, Kangeun Shin, Hyunsuk Kim, Hyeyoon Lee, Tae Young Kim, Minah Kim, Se Hyun Ahn, Yong Min Kwon, Jun Soo Ha, Kyooseob BMC Psychiatry Research Article BACKGROUND: Major depressive disorder and bipolar disorder are prevalent and debilitating psychiatric disorders that are difficult to distinguish, as their diagnosis is based on behavioural observations and subjective symptoms. Quantitative protein profile analysis might help to objectively distinguish between these disorders and increase our understanding of their pathophysiology. Thus, this study was conducted to compare the peripheral protein profiles between the two disorders. METHODS: Serum samples were collected from 18 subjects with major depressive disorder and 15 subjects with bipolar disorder. After depleting abundant proteins, liquid chromatography-tandem mass spectrometry (LC-MS/MS) and label-free quantification were performed. Data-dependent acquisition data were statistically analysed from the samples of 15 subjects with major depressive disorder and 10 subjects with bipolar disorder who were psychotropic drug-free. Two-sided t-tests were performed for pairwise comparisons of proteomes to detect differentially-expressed proteins (DEPs). Ingenuity Pathway Analysis of canonical pathways, disease and functions, and protein networks based on these DEPs was further conducted. RESULTS: Fourteen DEPs were significant between subjects with major depressive disorder and those with bipolar disorder. Ras-related protein Rab-7a (t = 5.975, p = 4.3 × 10(− 6)) and Rho-associated protein kinase 2 (t = 4.782, p = 8.0 × 10(− 5)) were significantly overexpressed in subjects with major depressive disorder and Exportin-7 (t = -4.520, p = 1.5 × 10(− 4)) was significantly overexpressed in subjects with bipolar disorder after considering multiple comparisons. Bioinformatics analysis showed that cellular functions and inflammation/immune pathways were significantly different. CONCLUSIONS: Ras-related protein Rab-7a, Rho-associated protein kinase 2, and Exportin-7 were identified as potential peripheral protein candidates to distinguish major depressive disorder and bipolar disorder. Further large sample studies with longitudinal designs and validation processes are warranted. BioMed Central 2020-04-03 /pmc/articles/PMC7118970/ /pubmed/32245436 http://dx.doi.org/10.1186/s12888-020-02540-0 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Rhee, Sang Jin Han, Dohyun Lee, Yunna Kim, Hyeyoung Lee, Junhee Lee, Kangeun Shin, Hyunsuk Kim, Hyeyoon Lee, Tae Young Kim, Minah Kim, Se Hyun Ahn, Yong Min Kwon, Jun Soo Ha, Kyooseob Comparison of serum protein profiles between major depressive disorder and bipolar disorder |
title | Comparison of serum protein profiles between major depressive disorder and bipolar disorder |
title_full | Comparison of serum protein profiles between major depressive disorder and bipolar disorder |
title_fullStr | Comparison of serum protein profiles between major depressive disorder and bipolar disorder |
title_full_unstemmed | Comparison of serum protein profiles between major depressive disorder and bipolar disorder |
title_short | Comparison of serum protein profiles between major depressive disorder and bipolar disorder |
title_sort | comparison of serum protein profiles between major depressive disorder and bipolar disorder |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118970/ https://www.ncbi.nlm.nih.gov/pubmed/32245436 http://dx.doi.org/10.1186/s12888-020-02540-0 |
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