Identification of commonly altered genes between in major depressive disorder and a mouse model of depression
Abstract The heterogeneity of depression (due to factors such as varying age of onset) may explain why biological markers of major depressive disorder (MDD) remain uncertain. We aimed to identify gene expression markers of MDD in leukocytes using microarray analysis. We analyzed gene expression prof...
Guardado en:
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/fa368dc39a86472c99c7fb99caf1454b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:fa368dc39a86472c99c7fb99caf1454b |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:fa368dc39a86472c99c7fb99caf1454b2021-12-02T16:06:05ZIdentification of commonly altered genes between in major depressive disorder and a mouse model of depression10.1038/s41598-017-03291-x2045-2322https://doaj.org/article/fa368dc39a86472c99c7fb99caf1454b2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03291-xhttps://doaj.org/toc/2045-2322Abstract The heterogeneity of depression (due to factors such as varying age of onset) may explain why biological markers of major depressive disorder (MDD) remain uncertain. We aimed to identify gene expression markers of MDD in leukocytes using microarray analysis. We analyzed gene expression profiles of patients with MDD (age ≥50, age of depression onset <50) (N = 10, depressed state; N = 13, remitted state). Seven-hundred and ninety-seven genes (558 upregulated, 239 downregulated when compared to those of 30 healthy subjects) were identified as potential markers for MDD. These genes were then cross-matched to microarray data obtained from a mouse model of depression (676 genes, 148 upregulated, 528 downregulated). Of the six common genes identified between patients and mice, five genes (SLC35A3, HIST1H2AL, YEATS4, ERLIN2, and PLPP5) were confirmed to be downregulated in patients with MDD by quantitative real-time polymerase chain reaction. Of these genes, HIST1H2AL was significantly decreased in a second set of independent subjects (age ≥20, age of onset <50) (N = 18, subjects with MDD in a depressed state; N = 19, healthy control participants). Taken together, our findings suggest that HIST1H2AL may be a biological marker of MDD.Hirotaka YamagataShusaku UchidaKoji MatsuoKenichiro HaradaAyumi KobayashiMami NakashimaMasayuki NakanoKoji OtsukiNaoko Abe-HiguchiFumihiro HiguchiToshio WatanukiToshio MatsubaraShigeo MiyataMasato FukudaMasahiko MikuniYoshifumi WatanabeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Hirotaka Yamagata Shusaku Uchida Koji Matsuo Kenichiro Harada Ayumi Kobayashi Mami Nakashima Masayuki Nakano Koji Otsuki Naoko Abe-Higuchi Fumihiro Higuchi Toshio Watanuki Toshio Matsubara Shigeo Miyata Masato Fukuda Masahiko Mikuni Yoshifumi Watanabe Identification of commonly altered genes between in major depressive disorder and a mouse model of depression |
description |
Abstract The heterogeneity of depression (due to factors such as varying age of onset) may explain why biological markers of major depressive disorder (MDD) remain uncertain. We aimed to identify gene expression markers of MDD in leukocytes using microarray analysis. We analyzed gene expression profiles of patients with MDD (age ≥50, age of depression onset <50) (N = 10, depressed state; N = 13, remitted state). Seven-hundred and ninety-seven genes (558 upregulated, 239 downregulated when compared to those of 30 healthy subjects) were identified as potential markers for MDD. These genes were then cross-matched to microarray data obtained from a mouse model of depression (676 genes, 148 upregulated, 528 downregulated). Of the six common genes identified between patients and mice, five genes (SLC35A3, HIST1H2AL, YEATS4, ERLIN2, and PLPP5) were confirmed to be downregulated in patients with MDD by quantitative real-time polymerase chain reaction. Of these genes, HIST1H2AL was significantly decreased in a second set of independent subjects (age ≥20, age of onset <50) (N = 18, subjects with MDD in a depressed state; N = 19, healthy control participants). Taken together, our findings suggest that HIST1H2AL may be a biological marker of MDD. |
format |
article |
author |
Hirotaka Yamagata Shusaku Uchida Koji Matsuo Kenichiro Harada Ayumi Kobayashi Mami Nakashima Masayuki Nakano Koji Otsuki Naoko Abe-Higuchi Fumihiro Higuchi Toshio Watanuki Toshio Matsubara Shigeo Miyata Masato Fukuda Masahiko Mikuni Yoshifumi Watanabe |
author_facet |
Hirotaka Yamagata Shusaku Uchida Koji Matsuo Kenichiro Harada Ayumi Kobayashi Mami Nakashima Masayuki Nakano Koji Otsuki Naoko Abe-Higuchi Fumihiro Higuchi Toshio Watanuki Toshio Matsubara Shigeo Miyata Masato Fukuda Masahiko Mikuni Yoshifumi Watanabe |
author_sort |
Hirotaka Yamagata |
title |
Identification of commonly altered genes between in major depressive disorder and a mouse model of depression |
title_short |
Identification of commonly altered genes between in major depressive disorder and a mouse model of depression |
title_full |
Identification of commonly altered genes between in major depressive disorder and a mouse model of depression |
title_fullStr |
Identification of commonly altered genes between in major depressive disorder and a mouse model of depression |
title_full_unstemmed |
Identification of commonly altered genes between in major depressive disorder and a mouse model of depression |
title_sort |
identification of commonly altered genes between in major depressive disorder and a mouse model of depression |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/fa368dc39a86472c99c7fb99caf1454b |
work_keys_str_mv |
AT hirotakayamagata identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT shusakuuchida identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT kojimatsuo identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT kenichiroharada identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT ayumikobayashi identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT maminakashima identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT masayukinakano identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT kojiotsuki identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT naokoabehiguchi identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT fumihirohiguchi identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT toshiowatanuki identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT toshiomatsubara identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT shigeomiyata identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT masatofukuda identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT masahikomikuni identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression AT yoshifumiwatanabe identificationofcommonlyalteredgenesbetweeninmajordepressivedisorderandamousemodelofdepression |
_version_ |
1718385124090839040 |