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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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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