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Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 31, 2014 - Issue 5
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Research Article

Influence of feeding schedules on the chronobiology of renin activity, urinary electrolytes and blood pressure in dogs

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Pages 715-730 | Received 09 Jan 2014, Accepted 20 Feb 2014, Published online: 21 Mar 2014
 

Abstract

The contribution of the renin–angiotensin–aldosterone system (RAAS) to the development of congestive heart failure (CHF) and hypertension (HT) has long been recognized. Medications that are commonly used in the course of CHF and HT are most often given with morning food for the sake of convenience and therapeutic compliance. However, biological rhythms and their responsiveness to environmental clues such as food intake may noticeably impact the effectiveness of drugs used in the management of cardiovascular disorders. Only sparse information about the effect of feeding schedules on the biology of the RAAS and blood pressure (BP) is presently available. Two studies were designed to explore the chronobiology of renin activity (RA), BP, renal sodium (UNa,fe) and potassium (UK,fe) handling in relation to meal timing in dogs. In a first experiment (Study a), blood and urinary samples for measurement of RA, UNa,fe and UK,fe were drawn from 18 healthy beagle dogs fed a normal-sodium diet at either 07:00, 13:00 or 19:00 h. In a second experiment (Study b), BP was recorded continuously from six healthy, telemetered beagle dogs fed a similar diet at 07:00, or 19:00 h. Data were collected throughout 24-h time periods, and analyzed by means of nonlinear mixed-effects models. Differences between the geometric means of early versus late time after feeding observations were further compared using parametric statistics. In agreement with our previous investigations, the results indicate that RA, UNa,fe, UK,fe, systolic, and diastolic BP oscillate with a circadian periodicity in dogs fed a regular diet at 07:00 h. A cosine model with a fixed 24-h period was found to fit the variations of RA, UK,fe and BP well, whereas cyclic changes in UNa,fe were best characterized by means of a combined cosine and surge model, reflecting a postprandial sodium excretion followed by a monotonous decay. Our data show that feeding time has a marked influence on the chronobiology of the renin cascade, urinary electrolytes, and BP. Introducing a 6- or 12-h delay in the dogs’ feeding schedule caused a shift of similar magnitude (05:06 and 12:32 h for Studies a and b, respectively) in the rhythm of these biomarkers. In all study groups, RA and BP exhibited a marked fall just after food intake. The drop in RA is consistent with sodium and water-induced body fluid expansion, while the reduction of BP could be related to the decreased activity of renin and the secretion of vasodilatory gut peptides. An approximately 1.5-fold (1.2–1.6-fold) change between the average early and late time after feeding observations was found for RA (p < 0.0001), UNa,fe (p < 0.01) and UK,fe (p < 0.05). Postprandial variations in BP, albeit small (ca. 10 mmHg), were statistically significant (p < 0.01) and supported by the model-based analysis.

In conclusion, the timing of food intake appears to be pivotal to the circadian organization of the renin cascade and BP. This synchronizing effect could be mediated by feeding-related signals, such as dietary sodium, capable of entraining circadian oscillators downstream of the master, light–dark-adjusted pacemaker in the suprachiasmatic nucleus.

Acknowledgments

The investigations on RAAS periodicity were conducted at the Centre de Recherche Sante Animale SA (CRA) of Novartis Animal Health, located in St-Aubin, Switzerland. The telemetry study was performed at Novartis Institutes of Biomedical Research, Novartis Pharma AG, PO box, CH-4002 Basel, Switzerland.

Author contributions

J.P. Mochel, M. Fink, M. Peyrou, C. Desevaux, M. Deurinck and M. Danhof conceived the experimental protocols. J.M. Giraudel, C. Bon, and B. Bieth contributed to the development of the hypothesis and reviewed the study protocols. J.P. Mochel, M. Fink, and M. Danhof participated in the analysis of the data, including the building of the nonlinear mixed-effects models.

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