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    Phenotypic divergence in sleep and circadian cycles linked by affective state and environmental risk related to psychosis

    Purple, Ross J ORCID logoORCID: https://orcid.org/0000-0003-1061-8106, Cosgrave, Jan, Alexander, Iona, Middleton, Benita, Foster, Russell G, Porcheret, Kate ORCID logoORCID: https://orcid.org/0000-0001-7832-9269 and Wulff, Katharina ORCID logoORCID: https://orcid.org/0000-0003-2480-3329 (2023) Phenotypic divergence in sleep and circadian cycles linked by affective state and environmental risk related to psychosis. Sleep, 46 (3). zsac311. ISSN 0161-8105

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    Abstract

    Study Objectives Environmental cues influence circadian rhythm timing and neurochemicals involved in the regulation of affective behavior. How this interplay makes them a probable nonspecific risk factor for psychosis is unclear. We aimed to identify the relationship between environmental risk for psychosis and circadian timing phenotypes sampled from the general population. Methods Using an online survey, we devised a cumulative risk exposure score for each of the 1898 survey respondents based on 23 empirically verified transdiagnostic risks for psychosis, three dimensions of affect severity, psychotic-like experiences, and help-seeking behavior. Quantitative phenotyping of sleep and circadian rhythms was undertaken using at-home polysomnography, melatonin and cortisol profiles, and 3-week rest–activity behavior in individuals with a high-risk exposure load (top 15% of survey respondents, n = 22) and low-risk exposure load (bottom 15% of respondents, n = 22). Results Psychiatric symptoms were present in 100% of the high-load participants and 14% of the low-load participants. Compared to those with a low-load, high-load participants showed a later melatonin phase which was reflected by a greater degree of dispersion in circadian timing. Phase relationships between later circadian melatonin phase and later actigraphic sleep onsets were maintained and these were strongly correlated with self-reported sleep mid-points. No differences were identified from polysomnography during sleep between groups. Conclusion Distinguishing circadian timing from other sleep phenotypes will allow adaptation for dosage of time-directed intervention, useful in stabilizing circadian timekeeping physiology and potentially reducing the multisystemic disruption in mental health disorders.

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