Understanding, predicting, and treating depression in pregnancy to improve mothers' and offspring's mental health outcomes: The HappyMums study

IF 3.7 Q2 IMMUNOLOGY Brain, behavior, & immunity - health Pub Date : 2025-02-08 DOI:10.1016/j.bbih.2025.100961
A. Biaggi , V. Zonca , C. Anacker , V. Begni , F. Benedetti , A. Bramante , A. Braniecka , V. Brenna , M. Bulgheroni , C. Buss , L. Cavaliere , C.A.M. Cecil , A.C. Couch , D. de Barra , H. El Marroun , S. Entringer , R. Grassi-Oliveira , M. Jackowska , A. Korosi , P.J.C. Kwant , A. Cattaneo
{"title":"Understanding, predicting, and treating depression in pregnancy to improve mothers' and offspring's mental health outcomes: The HappyMums study","authors":"A. Biaggi ,&nbsp;V. Zonca ,&nbsp;C. Anacker ,&nbsp;V. Begni ,&nbsp;F. Benedetti ,&nbsp;A. Bramante ,&nbsp;A. Braniecka ,&nbsp;V. Brenna ,&nbsp;M. Bulgheroni ,&nbsp;C. Buss ,&nbsp;L. Cavaliere ,&nbsp;C.A.M. Cecil ,&nbsp;A.C. Couch ,&nbsp;D. de Barra ,&nbsp;H. El Marroun ,&nbsp;S. Entringer ,&nbsp;R. Grassi-Oliveira ,&nbsp;M. Jackowska ,&nbsp;A. Korosi ,&nbsp;P.J.C. Kwant ,&nbsp;A. Cattaneo","doi":"10.1016/j.bbih.2025.100961","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Perinatal depression is common: on average, more than 13% of women suffer from physician-diagnosed disorder and 20% report symptoms bearing clinical relevance. Maternal depression not only significantly impacts women's quality of life but also increases the offspring's risk of negative developmental outcomes, including mental disorders, through a combination of maternal alterations in <em>in-utero</em> biology and postnatal rearing factors during the early period of life. The HappyMums project aims to improve our understanding of perinatal depression by identifying the factors that robustly predict risk and resilience in mothers and their offspring, determining underlying neurobiological mechanisms, and, finally, testing the efficacy of potential interventions.</div></div><div><h3>Methods</h3><div>HappyMums will use data from a large collection of cohorts and registries containing biological, clinical, socio-demographic, environmental, and lifestyle data. It will pool unique human samples of maternal blood, placenta, chorionic villi and amniotic fluid, analyzing these data alongside pre-clinical samples of brain, blood and placental tissue from models of prenatal stress in mice and livebearing fish for correlative analyses. HappyMums will develop a mobile application (App) to collect multiple data types from women for early screening and monitoring of depressive symptoms.</div></div><div><h3>Conclusion</h3><div>The findings generated by HappyMums will be clinically relevant as they will increase the knowledge on perinatal depression, with unprecedented benefits for the offspring and the society as a whole.</div></div>","PeriodicalId":72454,"journal":{"name":"Brain, behavior, & immunity - health","volume":"44 ","pages":"Article 100961"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain, behavior, & immunity - health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666354625000195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Perinatal depression is common: on average, more than 13% of women suffer from physician-diagnosed disorder and 20% report symptoms bearing clinical relevance. Maternal depression not only significantly impacts women's quality of life but also increases the offspring's risk of negative developmental outcomes, including mental disorders, through a combination of maternal alterations in in-utero biology and postnatal rearing factors during the early period of life. The HappyMums project aims to improve our understanding of perinatal depression by identifying the factors that robustly predict risk and resilience in mothers and their offspring, determining underlying neurobiological mechanisms, and, finally, testing the efficacy of potential interventions.

Methods

HappyMums will use data from a large collection of cohorts and registries containing biological, clinical, socio-demographic, environmental, and lifestyle data. It will pool unique human samples of maternal blood, placenta, chorionic villi and amniotic fluid, analyzing these data alongside pre-clinical samples of brain, blood and placental tissue from models of prenatal stress in mice and livebearing fish for correlative analyses. HappyMums will develop a mobile application (App) to collect multiple data types from women for early screening and monitoring of depressive symptoms.

Conclusion

The findings generated by HappyMums will be clinically relevant as they will increase the knowledge on perinatal depression, with unprecedented benefits for the offspring and the society as a whole.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Brain, behavior, & immunity - health
Brain, behavior, & immunity - health Biological Psychiatry, Behavioral Neuroscience
CiteScore
8.50
自引率
0.00%
发文量
0
审稿时长
97 days
期刊最新文献
MicroRNAs modulate CaMKIIα/SIRT1 signaling pathway as a biomarker of cognitive ability in adolescents Social inhibition in depressed patients is associated with an altered activation profile of the interleukin-6-inducible transcription factor STAT3 Ligature-induced periodontitis in a transgenic mouse model of Alzheimer's disease dysregulates neuroinflammation, exacerbates cognitive impairment, and accelerates amyloid pathology Risk factors for fatigue severity in the post-COVID-19 condition: A prospective controlled cohort study of nonhospitalised adolescents and young adults Specific immune-inflammatory profiles and neurocognitive deficits predict illness trajectories in people with type 2 diabetes mellitus or psychiatric disorders
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1