Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784888545627865088 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Cunningham, Peter S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9927929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Clinical Investigation |
record_format | MEDLINE/PubMed |
spelling | pubmed-99279292023-02-15 ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients 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. J Clin Invest Clinical Medicine 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. American Society for Clinical Investigation 2023-02-15 /pmc/articles/PMC9927929/ /pubmed/36538377 http://dx.doi.org/10.1172/JCI162775 Text en © 2023 Cunningham et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Clinical Medicine 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. ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients |
title | ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients |
title_full | ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients |
title_fullStr | ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients |
title_full_unstemmed | ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients |
title_short | ClinCirc identifies alterations of the circadian peripheral oscillator in critical care patients |
title_sort | clincirc identifies alterations of the circadian peripheral oscillator in critical care patients |
topic | Clinical Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927929/ https://www.ncbi.nlm.nih.gov/pubmed/36538377 http://dx.doi.org/10.1172/JCI162775 |
work_keys_str_mv | AT cunninghampeters clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT kitchengarethb clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT jacksoncallum clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT papachristosstavros clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT springthorpethomas clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT vandellendavid clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT gibbsjulie clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT feltontimothyw clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT wilsonanthonyj clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT bannardsmithjonathan clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT ruttermartink clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT housethomas clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT darkpaul clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT augustinetitus clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT akmanozgure clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT hazelandrewl clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients AT blaikleyjohnf clincircidentifiesalterationsofthecircadianperipheraloscillatorincriticalcarepatients |