Geoffroy Pierre A, Maruani Julia
Département de psychiatrie et d'addictologie, L'Assistance Publique-Hôpitaux de Paris, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat Claude Bernard, Paris, France; Université Paris Cité, NeuroDiderot, Institut National de la Santé et de la Recherche Médicale, Paris, France; Centre ChronoS, GHU Paris - Psychiatry and Neurosciences, Paris, France; Centre National de la Recherche Scientifique UPR 3212, Institute for Cellular and Integrative Neurosciences, Strasbourg, France.
Département de psychiatrie et d'addictologie, L'Assistance Publique-Hôpitaux de Paris, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat Claude Bernard, Paris, France; Université Paris Cité, NeuroDiderot, Institut National de la Santé et de la Recherche Médicale, Paris, France; Centre ChronoS, GHU Paris - Psychiatry and Neurosciences, Paris, France.
Biol Psychiatry. 2025 May 15. doi: 10.1016/j.biopsych.2025.05.005.
Mood disorders, including major depressive disorder, bipolar disorder, and seasonal affective disorder, exhibit significant heterogeneity, with disturbances in biological rhythms playing a central role. These disturbances not only contribute to the onset and progression of mood disorders but also serve as important predictors of relapse ("Chronos syndrome") and treatment response. Circadian disruptions, which are influenced by factors such as seasonality, jet lag, shift work, and childbirth, are hallmarks of mood episodes and are pivotal in transitions between mood states. Longitudinal studies have revealed a bidirectional relationship between circadian dysregulation and mood disorders, suggesting that biological clock abnormalities may both signal and predispose individuals to mood episodes. Despite their significance, no single circadian biomarker has demonstrated sufficient specificity or sensitivity for diagnostic precision. This underscores the urgent need for multimodal approaches that integrate circadian markers with other physiological and behavioral dimensions. Advancing mood disorder care requires biomarkers that capture individualized biological signatures, revealing circadian dysregulation and its interactions with multiple other physiological systems to enable precise subtyping and improved interventions. In this review, we emphasize the potential of integrating biological rhythms into a dimensional framework, leveraging advanced digital tools and mathematical models to provide ecologically-valid insights into mood disorder mechanisms. Such approaches aim to bridge the gap between clinical observations and biological underpinnings, paving the way for biologically informed classifications and personalized treatment strategies. By addressing the complexity of circadian disruptions and their interplay with other systems, this paradigm shift offers a promising path to enhancing mood disorder diagnostics and therapeutics.
情绪障碍,包括重度抑郁症、双相情感障碍和季节性情感障碍,表现出显著的异质性,生物节律紊乱在其中起着核心作用。这些紊乱不仅导致情绪障碍的发作和进展,还作为复发(“时间综合征”)和治疗反应的重要预测指标。受季节性、时差、轮班工作和分娩等因素影响的昼夜节律紊乱是情绪发作的标志,并且在情绪状态转变中起关键作用。纵向研究揭示了昼夜节律失调与情绪障碍之间的双向关系,这表明生物钟异常可能既预示着个体情绪发作,又使其易患情绪发作。尽管它们很重要,但没有单一的昼夜节律生物标志物对诊断精度显示出足够的特异性或敏感性。这凸显了迫切需要将昼夜节律标志物与其他生理和行为维度相结合的多模式方法。推进情绪障碍护理需要能够捕捉个体生物学特征的生物标志物,揭示昼夜节律失调及其与多个其他生理系统的相互作用,以实现精确的亚型分类和改进干预措施。在这篇综述中,我们强调将生物节律整合到一个维度框架中的潜力,利用先进的数字工具和数学模型,为情绪障碍机制提供生态有效的见解。这些方法旨在弥合临床观察与生物学基础之间的差距,为基于生物学的分类和个性化治疗策略铺平道路。通过解决昼夜节律紊乱的复杂性及其与其他系统的相互作用,这种范式转变为加强情绪障碍的诊断和治疗提供了一条有希望的途径。