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

IF 3.5 Q2 IMMUNOLOGY Brain, behavior, & immunity - health Pub Date : 2025-03-01 Epub 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
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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.
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了解、预测和治疗怀孕期间的抑郁症,以改善母亲和后代的心理健康状况:快乐妈妈的研究
背景围产期抑郁症很常见:平均而言,超过13%的妇女患有医生诊断的疾病,20%的妇女报告的症状具有临床相关性。母亲抑郁症不仅显著影响妇女的生活质量,而且还通过母亲在生命早期改变子宫内生物学和产后养育因素的组合,增加后代出现不良发育结果的风险,包括精神障碍。“快乐妈妈”项目旨在通过确定能够预测母亲及其后代风险和恢复能力的因素,确定潜在的神经生物学机制,并最终测试潜在干预措施的效果,提高我们对围产期抑郁症的理解。方法:happymums将使用来自大量队列和登记的数据,包括生物学、临床、社会人口统计学、环境和生活方式数据。它将汇集独特的人类母体血液、胎盘、绒毛膜绒毛和羊水样本,并将这些数据与来自小鼠和活鱼产前应激模型的大脑、血液和胎盘组织的临床前样本一起分析,以进行相关分析。HappyMums将开发一款移动应用程序(App),从女性身上收集多种数据类型,用于早期筛查和监测抑郁症状。结论HappyMums的研究结果将增加人们对围产期抑郁症的认识,对后代和整个社会都有前所未有的好处,具有临床意义。
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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
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