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Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder

We investigated transcriptomic markers of late-onset major depressive disorder (LOD; onset age of first depressive episode ≥ 50 years) from the genes expressed in blood cells and identified state-dependent transcriptomic markers in these patients. We assessed the genes expressed in blood cells by mi...

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Autores principales: Miyata, Shigeo, Kurachi, Masashi, Okano, Yoshiko, Sakurai, Noriko, Kobayashi, Ayumi, Harada, Kenichiro, Yamagata, Hirotaka, Matsuo, Koji, Takahashi, Keisuke, Narita, Kosuke, Fukuda, Masato, Ishizaki, Yasuki, Mikuni, Masahiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4771207/
https://www.ncbi.nlm.nih.gov/pubmed/26926397
http://dx.doi.org/10.1371/journal.pone.0150262
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author Miyata, Shigeo
Kurachi, Masashi
Okano, Yoshiko
Sakurai, Noriko
Kobayashi, Ayumi
Harada, Kenichiro
Yamagata, Hirotaka
Matsuo, Koji
Takahashi, Keisuke
Narita, Kosuke
Fukuda, Masato
Ishizaki, Yasuki
Mikuni, Masahiko
author_facet Miyata, Shigeo
Kurachi, Masashi
Okano, Yoshiko
Sakurai, Noriko
Kobayashi, Ayumi
Harada, Kenichiro
Yamagata, Hirotaka
Matsuo, Koji
Takahashi, Keisuke
Narita, Kosuke
Fukuda, Masato
Ishizaki, Yasuki
Mikuni, Masahiko
author_sort Miyata, Shigeo
collection PubMed
description We investigated transcriptomic markers of late-onset major depressive disorder (LOD; onset age of first depressive episode ≥ 50 years) from the genes expressed in blood cells and identified state-dependent transcriptomic markers in these patients. We assessed the genes expressed in blood cells by microarray and found that the expression levels of 3,066 probes were state-dependently changed in the blood cells of patients with LOD. To select potential candidates from those probes, we assessed the genes expressed in the blood of an animal model of depression, ovariectomized female mice exposed to chronic ultra-mild stress, by microarray and cross-matched the differentially expressed genes between the patients and the model mice. We identified 14 differentially expressed genes that were similarly changed in both patients and the model mice. By assessing statistical significance using real-time quantitative PCR (RT-qPCR), the following 4 genes were selected as candidates: cell death-inducing DFFA-like effector c (CIDEC), ribonuclease 1 (RNASE1), solute carrier family 36 member-1 (SLC36A1), and serine/threonine/tyrosine interacting-like 1 (STYXL1). The discriminating ability of these 4 candidate genes was evaluated in an independent cohort that was validated. Among them, CIDEC showed the greatest discriminant validity (sensitivity 91.3% and specificity 87.5%). Thus, these 4 biomarkers should be helpful for properly diagnosing LOD.
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spelling pubmed-47712072016-03-07 Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder Miyata, Shigeo Kurachi, Masashi Okano, Yoshiko Sakurai, Noriko Kobayashi, Ayumi Harada, Kenichiro Yamagata, Hirotaka Matsuo, Koji Takahashi, Keisuke Narita, Kosuke Fukuda, Masato Ishizaki, Yasuki Mikuni, Masahiko PLoS One Research Article We investigated transcriptomic markers of late-onset major depressive disorder (LOD; onset age of first depressive episode ≥ 50 years) from the genes expressed in blood cells and identified state-dependent transcriptomic markers in these patients. We assessed the genes expressed in blood cells by microarray and found that the expression levels of 3,066 probes were state-dependently changed in the blood cells of patients with LOD. To select potential candidates from those probes, we assessed the genes expressed in the blood of an animal model of depression, ovariectomized female mice exposed to chronic ultra-mild stress, by microarray and cross-matched the differentially expressed genes between the patients and the model mice. We identified 14 differentially expressed genes that were similarly changed in both patients and the model mice. By assessing statistical significance using real-time quantitative PCR (RT-qPCR), the following 4 genes were selected as candidates: cell death-inducing DFFA-like effector c (CIDEC), ribonuclease 1 (RNASE1), solute carrier family 36 member-1 (SLC36A1), and serine/threonine/tyrosine interacting-like 1 (STYXL1). The discriminating ability of these 4 candidate genes was evaluated in an independent cohort that was validated. Among them, CIDEC showed the greatest discriminant validity (sensitivity 91.3% and specificity 87.5%). Thus, these 4 biomarkers should be helpful for properly diagnosing LOD. Public Library of Science 2016-02-29 /pmc/articles/PMC4771207/ /pubmed/26926397 http://dx.doi.org/10.1371/journal.pone.0150262 Text en © 2016 Miyata et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Miyata, Shigeo
Kurachi, Masashi
Okano, Yoshiko
Sakurai, Noriko
Kobayashi, Ayumi
Harada, Kenichiro
Yamagata, Hirotaka
Matsuo, Koji
Takahashi, Keisuke
Narita, Kosuke
Fukuda, Masato
Ishizaki, Yasuki
Mikuni, Masahiko
Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder
title Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder
title_full Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder
title_fullStr Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder
title_full_unstemmed Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder
title_short Blood Transcriptomic Markers in Patients with Late-Onset Major Depressive Disorder
title_sort blood transcriptomic markers in patients with late-onset major depressive disorder
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4771207/
https://www.ncbi.nlm.nih.gov/pubmed/26926397
http://dx.doi.org/10.1371/journal.pone.0150262
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