How kidney clock works: circadian pattern of eGFR based on a population data group

• Published in: Journal of physiology and biochemistry Vol. 79; no. 3; pp. 543 - 554
• Main Authors: Lorenzo-Lozano, MC, Blázquez-Manzanera, AL, Carnicero, JA
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.08.2023; Springer; Springer Nature B.V
• Subjects: Analysis; Animal Physiology; Biomedical and Life Sciences; Biomedicine; Circadian rhythm; Circadian rhythms; Creatinine; Emergency medical services; Epidermal growth factor receptors; Glomerular filtration rate; Glomerular Filtration Rate - physiology; Hospitals; Human Physiology; Humans; Kidney - physiology; Kidney diseases; Original Article; Regression analysis; Regression models; Renal function; Renal Insufficiency, Chronic; Time of use; Diurnal rhythm; Biological variation; Population circadian rhythm; Estimated glomerular filtration rate
• ISSN: 1138-7548; 1877-8755
• DOI: 10.1007/s13105-023-00948-2

A circadian regulation of renal function it has been described in the last few years. An intradaily variation in glomerular filtration rate (eGFR) has also been discovered at the individual level. The aim of this study was to check if there exists a circadian pattern of eGFR at population data group level and to compare the population results with those described at individual level. We have studied a total of 446,441 samples analysed in the emergency laboratories of two Spanish hospitals between January 2015 and December 2019. We selected all the records of eGFR values between 60 and 140 mL/min/1.73 m 2 using CKD-EPI formula from patients between 18 and 85 years. The intradaily intrinsic eGFR pattern was computed using the extraction time of day in four nested mixed linear and sinusoidal regression models. All models showed an intradaily eGFR pattern, but the estimated model coefficients differed depending on whether age was included. The inclusion of age improved the performance of the model. In this model, the acrophase occurred at 7:46 h. We describe the distribution of eGFR values depending on the time in two different populations. This distribution is adjusted to a circadian rhythm that behaves similarly to the individual rhythm. This pattern is similar in each of the years studied from each hospital as well as between both hospitals. The results found suggest the incorporation of the concept of “population circadian rhythm” into the scientific world.