UConn Center on Aging, University of Connecticut Health Center, Farmington, CT, USA.
Department of Public Health Sciences, University of Connecticut Health Center, Farmington, CT, USA.
Ageing Res Rev. 2023 Jan;83:101805. doi: 10.1016/j.arr.2022.101805. Epub 2022 Nov 21.
Major depressive disorder (MDD) is characterized by psychological and physiological manifestations contributing to the disease severity and outcome. In recent years, several lines of evidence have suggested that individuals with MDD have an elevated risk of age-related adverse outcomes across the lifespan. This review provided evidence of a significant overlap between the biological abnormalities in MDD and biological changes commonly observed during the aging process (i.e., hallmarks of biological aging). Based on such evidence, we formulate a mechanistic model showing how abnormalities in the hallmarks of biological aging can be a common denominator and mediate the elevated risk of age-related health outcomes commonly observed in MDD. Finally, we proposed a roadmap for novel studies to investigate the intersection between the biology of aging and MDD, including the use of geroscience-guided interventions, such as senolytics, to delay or improve major depression by targeting biological aging.
重度抑郁症(MDD)的特征是心理和生理表现,这些表现导致了疾病的严重程度和结果。近年来,有几条证据表明,MDD 患者在整个生命周期中都有更高的与年龄相关的不良后果的风险。本综述提供了证据表明,MDD 中的生物学异常与衰老过程中常见的生物学变化(即生物学衰老的标志)之间存在显著重叠。基于这些证据,我们构建了一个机制模型,展示了生物学衰老标志中的异常如何成为一个共同点,并介导 MDD 中常见的与年龄相关的健康结果的风险升高。最后,我们提出了一条新的研究路线图,以研究衰老生物学和 MDD 之间的交集,包括使用衰老科学指导的干预措施,如衰老细胞清除剂,通过靶向生物学衰老来延迟或改善重度抑郁症。