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ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients

BACKGROUND: Assessing circadian rhythmicity from infrequently sampled data is challenging; however, these types of data are often encountered when measuring circadian transcripts in hospitalized patients. METHODS: We present ClinCirc. This method combines 2 existing mathematical methods (Lomb-Scargl...

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Detalles Bibliográficos
Autores principales: Cunningham, Peter S., Kitchen, Gareth B., Jackson, Callum, Papachristos, Stavros, Springthorpe, Thomas, van Dellen, David, Gibbs, Julie, Felton, Timothy W., Wilson, Anthony J., Bannard-Smith, Jonathan, Rutter, Martin K., House, Thomas, Dark, Paul, Augustine, Titus, Akman, Ozgur E., Hazel, Andrew L., Blaikley, John F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927929/
https://www.ncbi.nlm.nih.gov/pubmed/36538377
http://dx.doi.org/10.1172/JCI162775
Descripción
Sumario:BACKGROUND: Assessing circadian rhythmicity from infrequently sampled data is challenging; however, these types of data are often encountered when measuring circadian transcripts in hospitalized patients. METHODS: We present ClinCirc. This method combines 2 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 intensive care unit (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 analyzing simulated data or clock transcript expression of healthy volunteers. It had improved accuracy compared with 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 shift 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 hospitalized patients. FUNDING: UK Research and Innovation (UKRI), National Institute of Health Research (NIHR), Engineering and Physical Sciences Research Council (EPSRC), National Institute on Academic Anaesthesia (NIAA), Asthma+Lung UK, Kidneys for Life.