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A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder

Gene expression in peripheral blood has the potential to inform on pathophysiological mechanisms and has emerged as a viable avenue for the identification of biomarkers. Here, we aimed to identify gene expression candidate genes and to explore the potential for a composite gene expression measure as...

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Autores principales: Munkholm, K, Peijs, L, Vinberg, M, Kessing, L V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564565/
https://www.ncbi.nlm.nih.gov/pubmed/26241352
http://dx.doi.org/10.1038/tp.2015.110
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author Munkholm, K
Peijs, L
Vinberg, M
Kessing, L V
author_facet Munkholm, K
Peijs, L
Vinberg, M
Kessing, L V
author_sort Munkholm, K
collection PubMed
description Gene expression in peripheral blood has the potential to inform on pathophysiological mechanisms and has emerged as a viable avenue for the identification of biomarkers. Here, we aimed to identify gene expression candidate genes and to explore the potential for a composite gene expression measure as a diagnostic and state biomarker in bipolar disorder. First, messenger RNA levels of 19 candidate genes were assessed in peripheral blood mononuclear cells of 37 rapid cycling bipolar disorder patients in different affective states (depression, mania and euthymia) during a 6–12-month period and in 40 age- and gender-matched healthy control subjects. Second, a composite gene expression measure was constructed in the first half study sample and independently validated in the second half of the sample. We found downregulation of POLG and OGG1 expression in bipolar disorder patients compared with healthy control subjects. In patients with bipolar disorder, upregulation of NDUFV2 was observed in a depressed state compared with a euthymic state. The composite gene expression measure for discrimination between patients and healthy control subjects on the basis of 19 genes generated an area under the receiver-operating characteristic curve of 0.81 (P<0.0001) in sample 1, which was replicated with a value of 0.73 (P<0.0001) in sample 2, corresponding with a moderately accurate test. The present findings of altered POLG, OGG1 and NDUFV2 expression point to disturbances within mitochondrial function and DNA repair mechanisms in bipolar disorder. Further, a composite gene expression measure could hold promise as a potential diagnostic biomarker.
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spelling pubmed-45645652015-09-18 A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder Munkholm, K Peijs, L Vinberg, M Kessing, L V Transl Psychiatry Original Article Gene expression in peripheral blood has the potential to inform on pathophysiological mechanisms and has emerged as a viable avenue for the identification of biomarkers. Here, we aimed to identify gene expression candidate genes and to explore the potential for a composite gene expression measure as a diagnostic and state biomarker in bipolar disorder. First, messenger RNA levels of 19 candidate genes were assessed in peripheral blood mononuclear cells of 37 rapid cycling bipolar disorder patients in different affective states (depression, mania and euthymia) during a 6–12-month period and in 40 age- and gender-matched healthy control subjects. Second, a composite gene expression measure was constructed in the first half study sample and independently validated in the second half of the sample. We found downregulation of POLG and OGG1 expression in bipolar disorder patients compared with healthy control subjects. In patients with bipolar disorder, upregulation of NDUFV2 was observed in a depressed state compared with a euthymic state. The composite gene expression measure for discrimination between patients and healthy control subjects on the basis of 19 genes generated an area under the receiver-operating characteristic curve of 0.81 (P<0.0001) in sample 1, which was replicated with a value of 0.73 (P<0.0001) in sample 2, corresponding with a moderately accurate test. The present findings of altered POLG, OGG1 and NDUFV2 expression point to disturbances within mitochondrial function and DNA repair mechanisms in bipolar disorder. Further, a composite gene expression measure could hold promise as a potential diagnostic biomarker. Nature Publishing Group 2015-08 2015-08-04 /pmc/articles/PMC4564565/ /pubmed/26241352 http://dx.doi.org/10.1038/tp.2015.110 Text en Copyright © 2015 Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Original Article
Munkholm, K
Peijs, L
Vinberg, M
Kessing, L V
A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder
title A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder
title_full A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder
title_fullStr A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder
title_full_unstemmed A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder
title_short A composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder
title_sort composite peripheral blood gene expression measure as a potential diagnostic biomarker in bipolar disorder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4564565/
https://www.ncbi.nlm.nih.gov/pubmed/26241352
http://dx.doi.org/10.1038/tp.2015.110
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