Methylation analysis for postpartum depression: a case control study
Abstract 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 depr...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2019-06-01
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| Series: | BMC Psychiatry |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12888-019-2172-x |
| _version_ | 1818836024008114176 |
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| author | Yukako Nakamura Masahiro Nakatochi Shohko Kunimoto Takashi Okada Branko Aleksic Miho Toyama Tomoko Shiino Mako Morikawa Aya Yamauchi Akira Yoshimi Yoko Furukawa-Hibi Taku Nagai Masako Ohara Chika Kubota Kiyofumi Yamada Masahiko Ando Norio Ozaki |
| author_facet | Yukako Nakamura Masahiro Nakatochi Shohko Kunimoto Takashi Okada Branko Aleksic Miho Toyama Tomoko Shiino Mako Morikawa Aya Yamauchi Akira Yoshimi Yoko Furukawa-Hibi Taku Nagai Masako Ohara Chika Kubota Kiyofumi Yamada Masahiko Ando Norio Ozaki |
| author_sort | Yukako Nakamura |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-19T03:00:01Z |
| format | Article |
| id | doaj.art-390c82e319e941e2977ac4350d0be929 |
| institution | Directory Open Access Journal |
| issn | 1471-244X |
| language | English |
| last_indexed | 2024-12-19T03:00:01Z |
| publishDate | 2019-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Psychiatry |
| spelling | doaj.art-390c82e319e941e2977ac4350d0be9292022-12-21T20:38:13ZengBMCBMC Psychiatry1471-244X2019-06-011911910.1186/s12888-019-2172-xMethylation analysis for postpartum depression: a case control studyYukako Nakamura0Masahiro Nakatochi1Shohko Kunimoto2Takashi Okada3Branko Aleksic4Miho Toyama5Tomoko Shiino6Mako Morikawa7Aya Yamauchi8Akira Yoshimi9Yoko Furukawa-Hibi10Taku Nagai11Masako Ohara12Chika Kubota13Kiyofumi Yamada14Masahiko Ando15Norio Ozaki16Department of Psychiatry, Nagoya University Graduate School of MedicineData Coordinating Center, Department of Advanced Medicine, Nagoya University HospitalDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDivision of Clinical Sciences and Neuropsychopharmacology, Faculty and Graduate School of Pharmacy, Meijo UniversityDepartment of Experimental and Clinical Pharmacy, Nagoya City University Graduate School of Pharmaceutical SciencesDepartment of Neuropsychopharmacology and Hospital Pharmacy, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Psychiatry, Nagoya University Graduate School of MedicineDepartment of Neuropsychopharmacology and Hospital Pharmacy, Nagoya University Graduate School of MedicineData Coordinating Center, Department of Advanced Medicine, Nagoya University HospitalDepartment of Psychiatry, Nagoya University Graduate School of MedicineAbstract 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.http://link.springer.com/article/10.1186/s12888-019-2172-xDNA methylationPostpartum depressionEpigenome-wide association studyEdinburgh postnatal depression scale (EPDS) |
| spellingShingle | Yukako Nakamura Masahiro Nakatochi Shohko Kunimoto Takashi Okada Branko Aleksic Miho Toyama Tomoko Shiino Mako Morikawa Aya Yamauchi Akira Yoshimi Yoko Furukawa-Hibi Taku Nagai Masako Ohara Chika Kubota Kiyofumi Yamada Masahiko Ando Norio Ozaki Methylation analysis for postpartum depression: a case control study BMC Psychiatry DNA methylation Postpartum depression Epigenome-wide association study Edinburgh postnatal depression scale (EPDS) |
| title | Methylation analysis for postpartum depression: a case control study |
| title_full | Methylation analysis for postpartum depression: a case control study |
| title_fullStr | Methylation analysis for postpartum depression: a case control study |
| title_full_unstemmed | Methylation analysis for postpartum depression: a case control study |
| title_short | Methylation analysis for postpartum depression: a case control study |
| title_sort | methylation analysis for postpartum depression a case control study |
| topic | DNA methylation Postpartum depression Epigenome-wide association study Edinburgh postnatal depression scale (EPDS) |
| url | http://link.springer.com/article/10.1186/s12888-019-2172-x |
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