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. 2021 Jan 27;11(1):2296.
doi: 10.1038/s41598-021-81758-8.

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

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

Hirotaka Yamagata et al. Sci Rep. .

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.

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Conflict of interest statement

The authors report here all financial or other relationships that are relevant to the subject of this article. H.Y. has received a research grant from Pfizer, Eisai, and MSD. K.M. has received honoraria from Meiji Seika Pharma, Kyowa Pharmaceutical Industry, Mochida Pharmaceutical, Eli Lilly, Janssen Pharmaceutical K.K., and Pfizer. S.N. has received honoraria and/or research grant support from Otsuka Pharmaceutical, Meiji Seika Pharma, Sumitomo Dainippon Pharma, Kyowa Pharmaceutical Industry, Shionogi, Mitsubishi Tanabe Pharma, Mochida Pharmaceutical, Eisai, Tsumura, Eli Lilly, MSD, Astellas, and Pfizer. The other authors declare no actual or potential conflict of interest.

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References

    1. Lopizzo N, et al. Gene-environment interaction in major depression: focus on experience-dependent biological systems. Front. Psychiatry. 2015 doi: 10.3389/fpsyt.2015.00068. - DOI - PMC - PubMed
    1. Patterson CC, Dahlquist GG, Gyurus E, Green A, Soltesz G. Incidence trends for childhood type 1 diabetes in Europe during 1989–2003 and predicted new cases 2005–20: a multicentre prospective registration study. Lancet. 2009;373:2027–2033. doi: 10.1016/S0140-6736(09)60568-7. - DOI - PubMed
    1. Zuo L, Pannell BK, Liu Z. Characterization and redox mechanism of asthma in the elderly. Oncotarget. 2016;7:25010–25021. doi: 10.18632/oncotarget.7075. - DOI - PMC - PubMed
    1. Grayson L, Thomas A. A systematic review comparing clinical features in early age at onset and late age at onset late-life depression. J. Affect. Disord. 2013;150:161–170. doi: 10.1016/j.jad.2013.03.021. - DOI - PubMed
    1. Herrmann LL, Goodwin GM, Ebmeier KP. The cognitive neuropsychology of depression in the elderly. Psychol. Med. 2007;37:1693–1702. doi: 10.1017/S0033291707001134. - DOI - PubMed

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