Distinct epigenetic signatures between adult-onset and late-onset depression

Abstract The heterogeneity of major depressive disorder (MDD) is attributed to the fact that diagnostic criteria (e.g., DSM-5) are only based on clinical symptoms. The discovery of blood biomarkers has the potential to change the diagnosis of MDD. The purpose of this study was to identify blood biom...

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Main Authors: Hirotaka Yamagata, Hiroyuki Ogihara, Koji Matsuo, Shusaku Uchida, Ayumi Kobayashi, Tomoe Seki, Masaaki Kobayashi, Kenichiro Harada, Chong Chen, Shigeo Miyata, Masato Fukuda, Masahiko Mikuni, Yoshihiko Hamamoto, Yoshifumi Watanabe, Shin Nakagawa
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-81758-8
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spelling doaj-84b8df44d1fd4515b91b2bc9e4e3a7f32021-01-31T16:21:11ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111010.1038/s41598-021-81758-8Distinct epigenetic signatures between adult-onset and late-onset depressionHirotaka Yamagata0Hiroyuki Ogihara1Koji Matsuo2Shusaku Uchida3Ayumi Kobayashi4Tomoe Seki5Masaaki Kobayashi6Kenichiro Harada7Chong Chen8Shigeo Miyata9Masato Fukuda10Masahiko Mikuni11Yoshihiko Hamamoto12Yoshifumi Watanabe13Shin Nakagawa14Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Electrical, Electronic and Information Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi UniversityDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDepartment of Genetic and Behavioral Neuroscience, Gunma University Graduate School of MedicineDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of MedicineDepartment of Psychiatry and Neuroscience, Gunma University Graduate School of MedicineDivision of Electrical, Electronic and Information Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi UniversityDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineDivision of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of MedicineAbstract The heterogeneity of major depressive disorder (MDD) is attributed to the fact that diagnostic criteria (e.g., DSM-5) are only based on clinical symptoms. The discovery of blood biomarkers has the potential to change the diagnosis of MDD. The purpose of this study was to identify blood biomarkers of DNA methylation by strategically subtyping patients with MDD by onset age. We analyzed genome-wide DNA methylation of patients with adult-onset depression (AOD; age ≥ 50 years, age at depression onset < 50 years; N = 10) and late-onset depression (LOD; age ≥ 50 years, age at depression onset ≥ 50 years; N = 25) in comparison to that of 30 healthy subjects. The methylation profile of the AOD group was not only different from that of the LOD group but also more homogenous. Six identified methylation CpG sites were validated by pyrosequencing and amplicon bisulfite sequencing as potential markers for AOD in a second set of independent patients with AOD and healthy control subjects (N = 11). The combination of three specific methylation markers achieved the highest accuracy (sensitivity, 64%; specificity, 91%; accuracy, 77%). Taken together, our findings suggest that DNA methylation markers are more suitable for AOD than for LOD patients.https://doi.org/10.1038/s41598-021-81758-8
collection DOAJ
language English
format Article
sources DOAJ
author Hirotaka Yamagata
Hiroyuki Ogihara
Koji Matsuo
Shusaku Uchida
Ayumi Kobayashi
Tomoe Seki
Masaaki Kobayashi
Kenichiro Harada
Chong Chen
Shigeo Miyata
Masato Fukuda
Masahiko Mikuni
Yoshihiko Hamamoto
Yoshifumi Watanabe
Shin Nakagawa
spellingShingle Hirotaka Yamagata
Hiroyuki Ogihara
Koji Matsuo
Shusaku Uchida
Ayumi Kobayashi
Tomoe Seki
Masaaki Kobayashi
Kenichiro Harada
Chong Chen
Shigeo Miyata
Masato Fukuda
Masahiko Mikuni
Yoshihiko Hamamoto
Yoshifumi Watanabe
Shin Nakagawa
Distinct epigenetic signatures between adult-onset and late-onset depression
Scientific Reports
author_facet Hirotaka Yamagata
Hiroyuki Ogihara
Koji Matsuo
Shusaku Uchida
Ayumi Kobayashi
Tomoe Seki
Masaaki Kobayashi
Kenichiro Harada
Chong Chen
Shigeo Miyata
Masato Fukuda
Masahiko Mikuni
Yoshihiko Hamamoto
Yoshifumi Watanabe
Shin Nakagawa
author_sort Hirotaka Yamagata
title Distinct epigenetic signatures between adult-onset and late-onset depression
title_short Distinct epigenetic signatures between adult-onset and late-onset depression
title_full Distinct epigenetic signatures between adult-onset and late-onset depression
title_fullStr Distinct epigenetic signatures between adult-onset and late-onset depression
title_full_unstemmed Distinct epigenetic signatures between adult-onset and late-onset depression
title_sort distinct epigenetic signatures between adult-onset and late-onset depression
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-01-01
description Abstract The heterogeneity of major depressive disorder (MDD) is attributed to the fact that diagnostic criteria (e.g., DSM-5) are only based on clinical symptoms. The discovery of blood biomarkers has the potential to change the diagnosis of MDD. The purpose of this study was to identify blood biomarkers of DNA methylation by strategically subtyping patients with MDD by onset age. We analyzed genome-wide DNA methylation of patients with adult-onset depression (AOD; age ≥ 50 years, age at depression onset < 50 years; N = 10) and late-onset depression (LOD; age ≥ 50 years, age at depression onset ≥ 50 years; N = 25) in comparison to that of 30 healthy subjects. The methylation profile of the AOD group was not only different from that of the LOD group but also more homogenous. Six identified methylation CpG sites were validated by pyrosequencing and amplicon bisulfite sequencing as potential markers for AOD in a second set of independent patients with AOD and healthy control subjects (N = 11). The combination of three specific methylation markers achieved the highest accuracy (sensitivity, 64%; specificity, 91%; accuracy, 77%). Taken together, our findings suggest that DNA methylation markers are more suitable for AOD than for LOD patients.
url https://doi.org/10.1038/s41598-021-81758-8
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