Department of Mathematics, Faculty of Engineering and Physical Sciences, University of Surrey, GuildfordUK.
UK Dementia Research Institute Care Research & Technology Centre, at Imperial College London and the University of Surrey, Guildford,UK.
Schizophr Bull. 2022 Mar 1;48(2):447-456. doi: 10.1093/schbul/sbab124.
Sleep and circadian rhythm dysfunction is prevalent in schizophrenia, is associated with distress and poorer clinical status, yet remains an under-recognized therapeutic target. The development of new therapies requires the identification of the primary drivers of these abnormalities. Understanding of the regulation of sleep-wake timing is now sufficiently advanced for mathematical model-based analyses to identify the relative contribution of endogenous circadian processes, behavioral or environmental influences on sleep-wake disturbance and guide the development of personalized treatments. Here, we have elucidated factors underlying disturbed sleep-wake timing by applying a predictive mathematical model for the interaction of light and the circadian and homeostatic regulation of sleep to actigraphy, light, and melatonin profiles from 20 schizophrenia patients and 21 age-matched healthy unemployed controls, and designed interventions which restored sleep-circadian function. Compared to controls, those with schizophrenia slept longer, had more variable sleep timing, and received significantly fewer hours of bright light (light > 500 lux), which was associated with greater variance in sleep timing. Combining the model with the objective data revealed that non 24-h sleep could be best explained by reduced light exposure rather than differences in intrinsic circadian period. Modeling implied that late sleep offset and non 24-h sleep timing in schizophrenia can be normalized by changes in environmental light-dark profiles, without imposing major lifestyle changes. Aberrant timing and intensity of light exposure patterns are likely causal factors in sleep timing disturbances in schizophrenia. Implementing our new model-data framework in clinical practice could deliver personalized and acceptable light-dark interventions that normalize sleep-wake timing.
睡眠和昼夜节律紊乱在精神分裂症中很常见,与痛苦和较差的临床状况有关,但仍然是一个未被充分认识的治疗靶点。新疗法的开发需要确定这些异常的主要驱动因素。对睡眠-觉醒时间调节的理解现在已经足够先进,可以进行基于数学模型的分析,以确定内源性昼夜节律过程、对睡眠-觉醒干扰的行为或环境影响的相对贡献,并指导个性化治疗的发展。在这里,我们通过应用一个预测性的数学模型来阐明睡眠-觉醒时间紊乱的因素,该模型用于光与昼夜节律和睡眠稳态调节的相互作用,以分析 20 名精神分裂症患者和 21 名年龄匹配的健康失业对照者的活动记录仪、光和褪黑素图谱,并设计了恢复睡眠-昼夜节律功能的干预措施。与对照组相比,精神分裂症患者的睡眠时间更长,睡眠时间变化更大,接受的强光(光强>500 勒克斯)明显减少,这与睡眠时间变化更大有关。将模型与客观数据相结合表明,非 24 小时睡眠可以通过减少光照暴露来最好地解释,而不是内在昼夜周期的差异。建模表明,通过改变环境明暗模式,精神分裂症患者的晚睡和非 24 小时睡眠时间可以恢复正常,而不会带来重大的生活方式改变。光暴露模式的异常时间和强度可能是精神分裂症睡眠时间紊乱的因果因素。在临床实践中实施我们的新模型-数据框架可以提供个性化和可接受的明暗干预措施,使睡眠-觉醒时间正常化。