TY - JOUR
T1 - Methylation analysis for postpartum depression
T2 - A case control study
AU - Nakamura, Yukako
AU - Nakatochi, Masahiro
AU - Kunimoto, Shohko
AU - Okada, Takashi
AU - Aleksic, Branko
AU - Toyama, Miho
AU - Shiino, Tomoko
AU - Morikawa, Mako
AU - Yamauchi, Aya
AU - Yoshimi, Akira
AU - Furukawa-Hibi, Yoko
AU - Nagai, Taku
AU - Ohara, Masako
AU - Kubota, Chika
AU - Yamada, Kiyofumi
AU - Ando, Masahiko
AU - Ozaki, Norio
N1 - Publisher Copyright:
© 2019 The Author(s).
PY - 2019/6/20
Y1 - 2019/6/20
N2 - Background: Postpartum depression (PPD) is a major depressive disorder that occurs after childbirth. Objective diagnostic and predictive methods for PPD are important for early detection and appropriate intervention. DNA methylation has been recognized as a potential biomarker for major depressive disorder. In this study, we used methylation analysis and peripheral blood to search for biomarkers that could to lead to the development a predictive method for PPD. Methods: Study participants included 36 pregnant women (18 cases and 18 controls determined after childbirth). Genome-wide DNA methylation profiles were obtained by analysis with an Infinium Human Methylation 450BeadChip. The association of DNA methylation status at each DNA methylation site with PPD was assessed using linear regression analysis. We also conducted functional enrichment analysis of PPD using The Database for Annotation, Visualization and Integrated Discovery 6.8 to explore enriched functional-related gene groups for PPD. Results: In the analysis with postpartum depressed state as an independent variable, the difference in methylation frequency between the postpartum non-depressed group and the postpartum depressed group was small, and sites with genome-wide significant differences were not confirmed. After analysis by The Database for Annotation, Visualization and Integrated Discovery 6.8, we revealed four gene ontology terms, including axon guidance, related to postpartum depression. Conclusions: These findings may help with the development of an objective predictive method for PPD.
AB - Background: Postpartum depression (PPD) is a major depressive disorder that occurs after childbirth. Objective diagnostic and predictive methods for PPD are important for early detection and appropriate intervention. DNA methylation has been recognized as a potential biomarker for major depressive disorder. In this study, we used methylation analysis and peripheral blood to search for biomarkers that could to lead to the development a predictive method for PPD. Methods: Study participants included 36 pregnant women (18 cases and 18 controls determined after childbirth). Genome-wide DNA methylation profiles were obtained by analysis with an Infinium Human Methylation 450BeadChip. The association of DNA methylation status at each DNA methylation site with PPD was assessed using linear regression analysis. We also conducted functional enrichment analysis of PPD using The Database for Annotation, Visualization and Integrated Discovery 6.8 to explore enriched functional-related gene groups for PPD. Results: In the analysis with postpartum depressed state as an independent variable, the difference in methylation frequency between the postpartum non-depressed group and the postpartum depressed group was small, and sites with genome-wide significant differences were not confirmed. After analysis by The Database for Annotation, Visualization and Integrated Discovery 6.8, we revealed four gene ontology terms, including axon guidance, related to postpartum depression. Conclusions: These findings may help with the development of an objective predictive method for PPD.
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U2 - 10.1186/s12888-019-2172-x
DO - 10.1186/s12888-019-2172-x
M3 - Article
C2 - 31221108
AN - SCOPUS:85067559090
SN - 1471-244X
VL - 19
JO - BMC Psychiatry
JF - BMC Psychiatry
IS - 1
M1 - 190
ER -