Background: Assessing circadian rhythmicity from infrequently sampled data is challenging, however this type of data is often encountered when measuring circadian transcripts in hospitalised patients.
Methods: We present ClinCirc. This method combines two existing mathematical methods (Lomb-Scargle periodogram and cosinor) sequentially, and is designed to measure circadian oscillations from infrequently sampled clinical data. The accuracy of this method was compared against 9 other methods using simulated and frequently sampled biological data. ClinCirc was then evaluated in 13 ICU patients as well as in a separate cohort of 29 kidney transplant recipients. Finally, the consequences of circadian alterations were investigated in a retrospective cohort of 726 kidney transplant recipients.
Results: ClinCirc had comparable performance to existing methods for analysing simulated data or clock transcript expression of healthy volunteers. It had improved accuracy compared to the cosinor method in evaluating circadian parameters in PER2::luc cell lines. In ICU patients, it was the only method investigated to suggest that loss of circadian oscillations in the peripheral oscillator was associated with inflammation, a feature widely reported in animal models. Additionally, ClinCirc was able to detect other circadian alterations, including a phase mshift following kidney transplantation that was associated with the administration of glucocorticoids. This phase shift could explain why a significant complication of kidney transplantation (delayed graft dysfunction) oscillates according to the time-of-day kidney transplantation is performed.
Conclusion: ClinCirc analysis of the peripheral oscillator reveals important clinical associations in hospitalised patients
Original languageEnglish
JournalThe Journal of clinical investigation
Publication statusPublished - 20 Dec 2022


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