Abstract
The cardiovascular system exhibits dramatic time-of-day dependent rhythms, for example the diurnal variation of heart rate, blood pressure, and timing of onset of adverse cardiovascular events such as heart attack and sudden cardiac death. Over the past decade, the circadian clock mechanism has emerged as a crucial factor regulating these daily fluctuations. Most recently, these studies have led to a growing clinical appreciation that targeting circadian biology offers a novel therapeutic approach toward cardiovascular (and other) diseases. Here we describe leading-edge therapeutic applications of circadian biology including (1) timing of therapy to maximize efficacy in treating heart disease (chronotherapy); (2) novel biomarkers discovered by testing for genomic, proteomic, metabolomic, or other factors at different times of day and night (chronobiomarkers); and (3) novel pharmacologic compounds that target the circadian mechanism with potential clinical applications (new chronobiology drugs). Cardiovascular disease remains a leading cause of death worldwide and new approaches in the management and treatment of heart disease are clearly warranted and can benefit patients clinically.
Keywords: chronotherapy, circadian, diurnal, biomarkers, cardiovascular disease
Introduction
Cardiovascular disease is the leading cause of death worldwide (Public Health Agency of Canada, 2009; World Health Organization [WHO], 2011; Mozaffarian et al., 2014; Townsend et al., 2014). Available therapies have had only limited success improving long-term survival of patients. In recent years there have been a flurry of studies demonstrating time-of-day variations in drug toxicity and efficacy (reviewed in Smolensky and D’Alonzo, 1988; Smolensky and Peppas, 2007), daily cardiovascular gene and protein expression (reviewed in Martino and Sole, 2009; Durgan and Young, 2010; Paschos and FitzGerald, 2010), and there are reports of new pharmacological compounds targeting the circadian mechanism (reviewed in Chen et al., 2013; Kojetin and Burris, 2014). These have led to novel opportunities to investigate and apply the important field of chronobiology on clinical cardiology, and medicine in general.
The underlying foundation for cardiovascular chronotherapy stems from observations that biological processes in humans (and other mammals) exhibit 24-h daily rhythms, and these are controlled by molecular circadian clocks in the brain, heart, and other organs (Figures 1A,B). There are many excellent reviews on the circadian system (reviewed in Hastings et al., 2003; Roenneberg and Merrow, 2005; Dardente and Cermakian, 2007; Mohawk et al., 2012). Cardiovascular physiology appears to follow a rhythm as well; heart rate (HR), blood pressure (BP), and cardiac contractility all peak in the wake hours and reach a nadir during sleep (reviewed in Martino and Sole, 2009; Durgan and Young, 2010; Paschos and FitzGerald, 2010). Indeed, many cardiovascular functions that oscillate over the 24-h period are influenced by the circadian clock mechanism as well as daily fluctuations in the neurohormonal milieu (reviewed in Bray and Young, 2008; Sole and Martino, 2009; Gamble et al., 2014). Timing of onset of cardiac pathologies also follows a rhythm (e.g., onset of myocardial infarction [MI, or heart attack; Muller et al., 1985), and sudden cardiac death (Muller et al., 1987)]. These time-of-day variations in cardiovascular physiology and pathophysiology have led to a growing clinical appreciation that endogenous circadian rhythms may be an important factor to consider in treating disease. Here, we review the current knowledge regarding therapeutic applications of circadian rhythms for the cardiovascular system (Figure 1C), specifically (1) timing of therapy (chronotherapy), (2) circadian biomarkers (chronobiomarkers), and (3) how modifiers of the circadian clock mechanism may be useful in the treatment of heart disease.
Chronotherapy
Rationale
Chronotherapy is an important therapeutic application of circadian rhythms for the cardiovascular system. The rationale for chronotherapy is that it offers translational benefit by considering factors such as the underlying circadian rhythms in drug pharmacology, specifically pharmacokinetics (i.e., drug absorption, distribution, metabolism, and excretion) and pharmacodynamics (i.e., affinity and specificity for target receptor binding, downstream intracellular signaling). Chronotherapy also takes into account the patients’ underlying physiology and disease pathology (reviewed in Labrecque and Belanger, 1991; Reinberg, 1991; Paschos et al., 2010; Musiek and Fitzgerald, 2013). That the majority of the best-selling drugs and World Health Organization essential medicines target the products of circadian genes provides a mechanistic basis for understanding chronotherapy (Zhang et al., 2014), and provides further support for the clinical application of chronotherapy. Specific examples applied to the treatment of cardiovascular disease are discussed in further detail below. We also created a blog featuring published chronotherapy studies for cardiovascular and other diseases1.
Chronotherapy Decreases Adverse Cardiovascular Remodeling
In our recent pre-clinical study in mice, we showed that chronotherapy can have direct benefits on the heart in cardiovascular disease models (Martino et al., 2011). Mice with pressure-overload induced cardiac hypertrophy were administered the short-acting angiotensin converting enzyme inhibitor (ACEi) captopril at either sleep-time or wake-time. We found that only sleep-time administration improves cardiac function, and reduces cardiac remodeling, as compared to wake-time captopril and placebo-treated animals. Mechanistically, captopril given at sleep-time appears to target the peak in the renin-angiotensin-system gene profiles in the heart (Martino et al., 2011). Thus this study demonstrates the direct beneficial effects of chronotherapy for cardiac hypertrophy in the murine model. The important clinical implications are that ACEis given at bedtime can benefit myocardial remodeling in hypertensive patients, or after MI, or in congestive heart failure. Indeed, clinically, ACEis are one of the most commonly prescribed drugs given to hypertensive patients and also for ischemic heart disease (Pfeffer et al., 1992; AIRE, 1993; Ambrosioni et al., 1995; Kober et al., 1995; Yusuf et al., 2000; Fox and EURopean trial On reduction of cardiac events with Perindopril in stable coronary Artery disease Investigators, 2003; Nissen et al., 2004).
Chronotherapy Benefits Daily BP and HR Rhythms
Diurnal BP rhythms are an important part of healthy cardiovascular physiology, and thus are also a key target for chronotherapeutic strategies. Indeed, it is well-known that daily BP profiles are characterized by a dramatic BP surge that occurs around the time of wakening, followed by a progressive fall (∼10%) to reach a nadir during sleep (Floras et al., 1978; Millar-Craig et al., 1978). Conversely, loss of the nocturnal BP fall (non-dipper profile) adversely affects the heart (Verdecchia et al., 1990; Ohkubo et al., 2002; Dolan et al., 2005; Fagard et al., 2009), and chronotherapy to improve the nocturnal BP profile is beneficial. There are many studies that take a chronotherapeutic approach to regulate 24-h BP profiles in hypertensive patients. This includes treatment with ACEis, angiotensin receptor blockers (ARBs), β-blockers, acetylsalicylic acid (aspirin), and combination therapies at specific times of day or night. These studies are summarized in Table 1.
Table 1.
Drug (dose) | Study design (n) | Chronotherapeutic benefit | Reference |
---|---|---|---|
Angiotensin converting enzyme inhibitor (ACEi) | |||
Quinapril (20 mg/day for 4 weeks) |
Double-blind cross-over (18) | Evening quinapril more effectively decreased nighttime BP and 24 h BP profile compared to morning treatment | Palatini (1992) |
En alapril (10 mg/day for 3 weeks) |
Randomized cross-over (10) | Evening enalapril caused a greater reduction in nocturnal BP as compared to morning administration | Witte et al. (1993) |
Lisinopril (20 mg/day for 2 months) |
Randomized cross-over (40) | Evening lisinopril resulted in a largest reduction in morning BP (6 AM–11 AM) as compared to morning and afternoon treatment | Macchiarulo et al. (1999) |
Ramipril (5 mg/day for 6 weeks) |
PROBEa multicenter (115) | Bedtime ramipril led to the largest decrease in sleep-time BP and increased the number of patients with controlled 24 h ambulatory BP | Hermida and Ayala (2009) |
Spirapril (6 mg/day for 12 weeks) |
Randomized, open-label, parallel group, blinded endpoint (165) | Bedtime spirapril more effectively decreased the nocturnal BP and increased the proportion of patients with controlled 24 h ambulatory BP | Hermida et al. (2010a) |
Angiotensin receptor blocker (ARB) | |||
Valsartan (160 mg/day for 3 months) |
PROBEa non-dipper (148) | Bedtime valsartan further decreased nocturnal BP mean and led to a greater proportion of patients with dipper profiles and controlled BP over 24 h as compared to treatment upon awakening | Hermida et al. (2005b) |
Telmisartan (80 mg/day for 12 weeks) | PROBEa (215) | Bedtime telmisartan further decreased sleep-time BP and increased the number of patients with dipper profiles as compared to morning administration | Hermida et al. (2007) |
Olmesartan (20 mg/day for 3 months) |
PROBEa (123) | Bedtime olmesartan resulted in the largest reduction in nocturnal BP mean and decreased prevalence of non-dipping from baseline as compared to the morning dose | Hermida et al. (2009) |
β-Blocker | |||
Nebivolol (5 mg/day for 1 week; titrated to 10 mg/day for 2 weeks) |
Single-center, prospective, randomized, double-blind, placebo controlled, cross-over (38) | Evening but not morning, nebivolol significantly decreased morning preawakening systolic BP from baseline | Acelajado et al. (2012) |
Non-steroidal anti-inflammatory drugs | |||
Acetylsalicylic acid (100 mg/day for 3 months) |
PROBEa (328) | Only bedtime administration reduced the 24 h BP mean, but not treatment upon awakening | Hermida et al. (2005a) |
Combination therapy | |||
Amlodipine (2.5–10 mg) plus Olmesartan (20–40 mg) (for 8 weeks) |
Randomized, open-label, crossover (31) | Evening treatment significantly decreased the morning BP surge and decreased nocturnal BP in non-dippers as compared with morning treatment | Hoshino et al. (2010) |
Valsartan (160 mg/day) plus Hydrochlo-rothiazide (12 mg/day) (for 12 weeks) | PROBE,a (204) | Bedtime dose more effectively reduced sleep-time systolic BP mean and increased the proportion of patients with controlled sleep-time BP as compared to treatment upon awakening | Hermida et al. (2011) |
Valsartan (160 mg/day) plus Amlodipine (5 mg/day) (for 12 weeks) | PROBE (203) | Bedtime administration more efficiently decreased the 48h BP mean, lowered sleep-time BP, and had the largest percentage of patients with controlled BP over 24 h compared to morning administration | Hermida et al. (2010b) |
Prospective, randomized, open-label, parallel group, blinded endpoint (PROBE).
Intriguingly, HR also exhibits a rhythm that peaks in the day and is lowest at night (Clarke et al., 1976). The effects of chronotherapy on HR are not as well investigated as with BP profiles, however, several studies have indicated a time-of-day influence of β-blockers on HR. (1) In healthy subjects, the β-blocker propanolol exhibits a significantly faster time to peak effect on HR if taken in the morning (8 A.M.) as compared to late at night (2 A.M; Langner and Lemmer, 1988). (2) The suppressive effect of propranolol on the rise in HR during exercise is significantly greater if the drug is taken in the morning versus at night (Fujimura et al., 1990). (3) In patients with stable coronary disease, myocardial ischemic episodes associated with HR increases are more likely to occur during the day time than at night; propranolol reduces the proportion of these daily HR-related episodes (Andrews et al., 1993). (4) In hypertensive patients, the β-blocker bisoprolol reduces the 24-h ambulatory HR if the drug is taken in the morning (Mengden et al., 1992). (5) Lastly, experimental studies in rodents help confirm that HR is differentially influenced by some β-blockers depending on the time of drug application; propanolol causes a near maximum decrease in HR when given in the light period (rodent sleep time) as compared to the dark period (rodent wake time; Lemmer et al., 1985). Collectively these findings illustrate the importance of maintaining daily BP and HR profiles, and the clinical applicability of chronotherapy to benefit cardiovascular physiology.
Aspirin Chronotherapy and Timing of Acute Cardiovascular Events
In an exciting recent chronotherapy study, it was found that evening administration of low-dose aspirin reduces morning platelet reactivity, via COX-1 dependent pathways, as compared with taking aspirin upon awakening (Bonten et al., 2014). This finding is consistent with earlier reports of a circadian rhythm in platelet surface markers (Scheer et al., 2011), and in platelet aggregability (Andrews et al., 1996). Collectively these studies are clinically important because acute cardiovascular events (e.g., MI) are most likely to occur in the early morning hours vs. other times of day or night (Muller et al., 1985), and platelet reactivity likely contributes to this early morning peak. Thus it is postulated that aspirin chronotherapy taken at bedtime instead of on awakening, as a preventative measure in healthy subjects and by patients with cardiovascular disease, can reduce the incidence of adverse cardiac events during the high-risk morning hours (Bonten et al., 2014). That daily low-dose aspirin reduces the peak frequency of MIs in the morning and overall risk across the 24-h cycle (Ridker et al., 1990), provides further support for this notion.
It is worth noting that several factors important for thrombosis and fibrinolysis in MI, in addition to platelet reactivity and cycling, also exhibit daily rhythms and could provide additional targets for chronotherapy for treatment of acute cardiovascular events. These factors include plasminogen activator inhibitor-1 (PAI-1 a key inhibitor of fibrinolysis; Angleton et al., 1989; Scheer and Shea, 2013), tissue factor pathway inhibitor and factor VII (Pinotti et al., 2005), and plasma fibrinogen (Bremner et al., 2000). Moreover, several experimental rodent studies mechanistically link these coagulation pathways directly to the circadian clock mechanism. That is, transcription of the anti-coagulant factor thrombomodulin is regulated by the mechanism factors CLOCK and BMAL2 heterodimers (Takeda et al., 2007), and PAI-1 transcription is regulated by CLOCK and BMAL proteins (Schoenhard et al., 2003). Endothelial responses to vascular injury also appear to be regulated by the clock mechanism (Westgate et al., 2008). In terms of clinical translation, time-of-day variation in the efficacy of thrombolytic therapy in MI has been reported, which shows a marked early morning resistance and significantly better results later in the day (Reisin et al., 2004). Taken together, these and earlier studies provide support for cardiovascular chronotherapy to limit the pathogenesis and improve treatment following the onset of acute cardiovascular events.
Nocturnal Hemodialysis (NHD) Benefits Cardiovascular Disease
Cardiovascular disease is a significant cause of death in patients with end-stage renal disease (Harnett et al., 1995; Collins et al., 2007), and left ventricular hypertrophy contributes to the high mortality rates in patients given conventional daytime hemodialysis (CHD) treatment (Harnett et al., 1994). Intriguingly, NHD, renal replacement therapy during sleep) offers better BP control (Pierratos et al., 1998; Raj et al., 1999), and is accompanied by regression of left ventricular hypertrophy (Chan et al., 2002), as compared to patients given conventional daytime therapy. In addition to decreasing the nighttime BP, NHD also decreases 24-h mean arterial BP compared to CHD (Chan et al., 2003). These findings of a chronotherapeutic benefit are further corroborated by a randomized controlled clinical trial demonstrating that frequent NHD improves systemic BP and reduces left ventricular mass compared with CHD (Culleton et al., 2007). Mechanistically, the beneficial effects of NHD are associated with changes in myocardial mechanics in patients, and experimentally correlated with unique cardiac gene expression signatures in rodent studies in vivo (Chan et al., 2012). These studies demonstrate chronotherapeutic benefit for the heart, in patients with end-stage renal disease, by chronotherapeutically converting from CHD to NHD treatment.
Nocturnal Therapy for Obstructive Sleep Apnea Benefits the Heart
Obstructive sleep apnea (OSA) is a common sleep disorder, with cardiovascular consequences (e.g., through increased sympathetic activation, etc. as has been well reviewed in Bradley and Floras, 2003; Somers et al., 2008; Bradley and Floras, 2009; Kasai and Bradley, 2011; Ayas et al., 2014; Floras, 2014). OSA is a target for chronotherapy, as several studies have revealed that sleep time treatment with continuous positive airway pressure (CPAP) attenuates some of the adverse effects on the cardiovascular system. For example, CPAP therapy decreases the risk of non-fatal and fatal adverse cardiovascular events in severe OSA patients (apnea-hypopnea index >30 h) as compared to untreated patients, as demonstrated in a 10 years long term follow-up study (Marin et al., 2005). In another study, it was shown that CPAP therapy improves ejection fraction, lowers systolic BP, and reduces HR in heart failure patients with OSA (Kaneko et al., 2003). Also, CPAP treatment decreases cardiovascular-related deaths in OSA patients, as compared to an untreated OSA group, as was demonstrated over a follow-up period of 7.5 years (Doherty et al., 2005). Thus these studies underscore the notion that time-of-day therapies, such as nocturnal CPAP treatment, benefits cardiovascular physiology, and reduces pathophysiology in patients with OSA.
Chronobiomarkers
Definition
A second area for therapeutic application of circadian rhythms is in the development of time-of-day biomarkers for heart disease. The National Institutes of Health defines biomarkers as “a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention” (Biomarker Definitions Working Group, 2001). Classic biomarkers of cardiovascular disease relate to patient state (e.g., lifestyle risk factor profiles such as diet, exercise, and smoking) or biological processes (e.g., molecular gene and protein levels; reviewed in Jaffe et al., 2006; Maisel et al., 2006; Pletcher and Pignone, 2011). However, in contrast to these classic biomarkers which are measured during the daytime, chronobiomarkers provide a novel approach because clinical sampling is done at different times of day or night. Thus chronobiomarkers (unlike classic biomarkers) take into consideration the time-of-day rhythms important for body physiology and molecular processes. It is worth noting that timing of sampling is also relevant to translational research, since experiments on rodents are routinely performed during the working day when the animals are in their sleep period (rodents are nocturnal) with the intent of comparison to the human daytime. Sampling tissues and detecting biomarkers at different times across the day and night cycle can allow for better correlation with humans. New frontiers investigating molecular chronobiomarkers, with application to the clinical setting, are described below.
Genomic Chronobiomarkers
Genomic chronobiomarkers are the most identifiable type of biomarker because the circadian clock mechanism is transcriptional in nature. That is, many labs have shown that the circadian mechanism underlies gene expression in the heart (and other) organs, and thus investigating how these gene patterns change in heart disease could lead to de novo chronobiomarker discoveries. The first large scale study examining rhythmic gene expression in the heart was by Storch et al. (2002), and revealed that ∼8% of genes (mRNA) in the murine heart exhibit circadian variations by microarray and bioinformatics analyses. Of note, this study was done under circadian (constant dark) conditions to elucidate clock controlled genes. However, since humans (and clinical medicine) exist in a 24-h light and dark and not circadian environment, we also demonstrated that ∼13% of murine cardiac genes (mRNA) exhibit rhythmic expression under normal day and night cycles, by microarray and COSOPT bioinformatics analyses (Martino et al., 2004). Most recently rhythmic mRNA profiles have also been shown in human heart tissue for the core clock genes (per1, per2, and bmal1; Leibetseder et al., 2009).
Interestingly, chromatin remodelers play a role in orchestrating time-of-day gene expression, by regulating rhythms in the epigenome (reviewed in Aguilar-Arnal and Sassone-Corsi, 2014), such as the histone deactylases termed silent information regulator 1 (SIRT1; Nakahata et al., 2008), and histone deacetylase 3 (HDAC3; Alenghat et al., 2008), and the histone methyltransferase termed mixed lineage leukemia 1 (MLL1; Katada and Sassone-Corsi, 2010). These are recruited to the promoters of clock controlled genes in a circadian manner, and rhythmic expression of clock controlled genes is altered in the absence of these chromatin modifiers (Alenghat et al., 2008; Nakahata et al., 2008; Katada and Sassone-Corsi, 2010). Moreover, the epigenetic markers of histone acetylation and methylation also exhibit rhythmic oscillations over 24 h (Etchegaray et al., 2003; Vollmers et al., 2012). In terms of therapeutic potential, pharmacological modulation with SIRT1 activators reduces histone acetylation and decreases the amplitude of circadian gene expression in mice (Bellet et al., 2013).
Since rhythmic gene expression underlies the vital cardiac processes, we also investigated whether time-of-day gene expression signatures could be utilized as de novo biomarkers of heart disease (i.e., chronobiomarkers). In a proof-of-concept study, we identified 300 mRNA chronobiomarkers, using a murine model of cardiac hypertrophy (transaortic constriction, TAC), microarrays, and a novel bioinformatics algorithm termed Delta Gene (Tsimakouridze et al., 2012). For example, the mitochondrial metabolism genes uncoupling protein 3 (Ucp3) and pyruvate dehydrogenase kinase 4 (Pdk4) exhibit significantly increased expression in TAC hearts in the light period (animals asleep) but not dark period (animals awake). Conversely, the apoptosis pathway gene BCL2/adenovirus E1B interacting protein 3 (Bnip3) exhibits increased expression in the dark. Moreover, we further demonstrated that day/night gene rhythms change over the course of the disease, and that later profiles can be predictive of heart failure. For example, decreased sleep-time expression of Ucp3 and increased wake-time expression of Bnip3 are simultaneously observed with progression to heart failure. (Tsimakouridze et al., 2012). Further optimization for clinical translation in heart disease would of course need to be considered, such as blood sampling instead of tissue, and the development of gene chips targeting specific disease profiles. Nevertheless, these early studies demonstrate the novelty and feasibility of such an approach, for genomic chronobiomarkers with application to clinical molecular diagnostics.
Proteomic Chronobiomarkers
A second approach is to characterize the proteomic chronobiomarkers instead of the genetic markers. This is important because it is the proteins, and not the mRNA, that underlie many crucial biological processes in health and disease. In support of this approach, we demonstrated that ∼8% of the murine cardiac proteome exhibits significant changes in abundance over the 24-h day and night cycle, by using 2-dimensional difference in gel electrophoresis and liquid chromatography mass spectrometry (Podobed et al., 2012, 2014). Moreover, a role for the circadian clock mechanism is indicated in regulating time-of-day protein abundance, as differences in protein profiles are observed in the hearts of cardiomyocyte-specific clock mutant mice (Podobed et al., 2014). This includes many rate limiting enzymes important for key metabolic pathways in the heart (Podobed et al., 2014). As a proof-of-concept for application to heart disease, we demonstrated that protein chronobiomarkers have characteristic disease signatures in our murine model of TAC-induced cardiac hypertrophy (Podobed et al., 2012, 2014; Tsimakouridze et al., 2012). It is worth noting that although our studies report day/night protein signatures of heart disease, these studies rely on sampling directly from the heart tissue. For routine biomarker testing a more minimally invasive technique would need to be developed, such as detecting time-of-day protein biomarker signatures in the blood. To demonstrate the feasibility of less invasive testing, we showed time-of-day de novo chronobiomarkers in murine blood plasma samples, using surface-enhanced laser desorption/ionization mass spectrometry (Martino et al., 2007). In terms of translation, one interesting example illustrating the clinical potential of time-of-day biomarkers in heart disease comes from studies by Dominguez-Rodriguez et al. (2006), who show that nighttime serum melatonin levels are predictive of a subsequent adverse cardiovascular event in patients with ST-segment elevation MI. Thus taken together, these studies demonstrate significant clinical potential for protein chronobiomarkers for the diagnosis, prognosis, and personalized treatment of heart disease.
Metabolomic Chronobiomarkers
The circadian clock regulates metabolism in the body (Turek et al., 2005; Paschos et al., 2012) and in the heart (reviewed in Young, 2006; Durgan and Young, 2010) and thus there is significant opportunity to investigate the circadian metabolome for chronobiomarkers of health and disease. For example, the liver metabolome exhibits rhythmic oscillations and disrupting the circadian clock mechanism alters these profiles (Eckel-Mahan et al., 2012). In another study in humans, it was demonstrated that ∼15% of metabolites in plasma and saliva samples are rhythmic and under circadian control (Dallmann et al., 2012). One clinical application is in the measurement of internal body time-of-day, which may be exploited to maximize efficacy and minimize toxicity of drugs therapies (e.g., for chronotherapy; Ueda et al., 2004). In this regard, the Ueda group designed a molecular-timetable of the murine blood metabolome, quantifying hundreds of clock controlled metabolites, using a liquid chromatography mass spectrometry approach (Minami et al., 2009). This same group subsequently applied their molecular metabolite timetable concept to successfully estimate internal body time in humans (Kasukawa et al., 2012). The CircadiOmics website provides a consolidated model that integrates these metabolomic data with genomics and proteomics, to better understand time-of-day coordination of physiology/pathophysiology (Patel et al., 2012). Indeed, taken together these data reveal the convenience and feasibility of adopting time-of-day testing for clinical use. It is tempting to speculate that additional “-omics” approaches, such as lipidomics or breathomics, could also be developed in the future as valuable clinical tools for personalized medicine.
New Frontiers for Chronobiology Drugs
Recently, there has been a new focus on the creation of pharmacological compounds designed to target the REV-ERB and ROR nuclear receptors in the circadian mechanism, with clinical applications (reviewed in Kojetin and Burris, 2014). For example, administering REV-ERB agonists to mice alters their circadian behavior and hypothalamic gene expression, leading to the notion that these drugs may be useful in the treatment of metabolic disorders (Solt et al., 2012). Since REV-ERB also plays a key role in regulating mitochondrial content and the oxidative capacity of skeletal muscle, it is postulated that pharmacologic activation of REV-ERB may also be used to treat skeletal muscle diseases (Woldt et al., 2013). Moreover, it was recently shown that REV-ERB agonists can regulate sleep architecture and emotion in mice, and thus they may be useful in the treatment of sleep disorders and anxiety (Banerjee et al., 2014). There are new pharmacological agents that modulate other components of the circadian clock mechanism as well (e.g., reviewed in Chen et al., 2013); some of these hold considerable promise for offsetting the adverse effects of shift work (e.g., Walton et al., 2009; Meng et al., 2010; Pilorz et al., 2014). Most recently it was demonstrated that human peripheral blood mononuclear cell clocks are entrained by glucocorticoids, and that pharmacologic treatment directed at these peripheral targets could also help counteract the deleterious effects of shift work (Cuesta et al., 2014). Although the new chronobiology drugs have not yet been examined in heart disease, it is tempting to speculate that they may be useful, especially in light of their influences on muscle metabolism, on sleep, and on circadian phase, that they may benefit cardiovascular physiology and pathophysiology.
Conclusions and future directions
In terms of future directions in basic science, use of murine transgenic models and pharmacologic approaches will undoubtedly provide new pre-clinical insights into how targeting the circadian mechanism can contribute to the diagnosis and management of heart disease. In terms of clinical chronotherapy, the US public clinical trials database (ClinicalTrials.gov., 2015) already lists seven studies when the search term “cardiovascular chronotherapy” is used, and 18 studies for “chronotherapy” in general, attesting to the clinical promise that chronotherapeutic treatments may hold. There are also significant opportunities to discover de novo chronobiomarker tests, for product development by biotechnology sectors, and for establishing routine applications in chronobiology, and sleep clinics. Thus therapeutic consideration of circadian rhythms for the cardiovascular system is an exciting new area with significant clinical potential.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
This work was supported by funding from CIHR to TM.
Footnotes
References
- Acelajado M. C., Pisoni R., Dudenbostel T., Oparil S., Calhoun D. A., Glasser S. P. (2012). Both morning and evening dosing of nebivolol reduces trough mean blood pressure surge in hypertensive patients. J. Am. Soc. Hypertens. 6 66–72 10.1016/j.jash.2011.09.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Aguilar-Arnal L., Sassone-Corsi P. (2014). Chromatin landscape and circadian dynamics: spatial and temporal organization of clock transcription. Proc. Natl. Acad. Sci. U.S.A. 10.1073/pnas.1411264111 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
- AIRE. (1993). Effect of ramipril on mortality and morbidity of survivors of acute myocardial infarction with clinical evidence of heart failure. The acute infarction ramipril efficacy (AIRE) study Investigators. Lancet 342 821–828. [PubMed] [Google Scholar]
- Alenghat T., Meyers K., Mullican S. E., Leitner K., Adeniji-Adele A., Avila J., et al. (2008). Nuclear receptor corepressor and histone deacetylase 3 govern circadian metabolic physiology. Nature 456 997–1000 10.1038/nature07541 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ambrosioni E., Borghi C., Magnani B. (1995). The effect of the angiotensin-converting-enzyme inhibitor zofenopril on mortality and morbidity after anterior myocardial infarction. The survival of myocardial infarction long-term evaluation (SMILE) study investigators. N. Engl. J. Med. 332 80–85 10.1056/NEJM199501123320203 [DOI] [PubMed] [Google Scholar]
- Andrews N. P., Gralnick H. R., Merryman P., Vail M., Quyyumi A. A. (1996). Mechanisms underlying the morning increase in platelet aggregation: a flow cytometry study. J. Am. Coll. Cardiol. 28 1789–1795 10.1016/S0735-1097(96)00398-1 [DOI] [PubMed] [Google Scholar]
- Andrews T. C., Fenton T., Toyosaki N., Glasser S. P., Young P. M., Maccallum G., et al. (1993). Subsets of ambulatory myocardial ischemia based on heart rate activity. Circadian distribution and response to anti-ischemic medication. The angina and silent ischemia study group (ASIS). Circulation 88 92–100 10.1161/01.CIR.88.1.92 [DOI] [PubMed] [Google Scholar]
- Angleton P., Chandler W. L., Schmer G. (1989). Diurnal variation of tissue-type plasminogen activator and its rapid inhibitor (PAI-1). Circulation 79 101–106 10.1161/01.CIR.79.1.101 [DOI] [PubMed] [Google Scholar]
- Ayas N. T., Hirsch A. A., Laher I., Bradley T. D., Malhotra A., Polotsky V. Y., et al. (2014). New frontiers in obstructive sleep apnoea. Clin. Sci. (Lond.) 127 209–216 10.1042/CS20140070 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Banerjee S., Wang Y., Solt L. A., Griffett K., Kazantzis M., Amador A., et al. (2014). Pharmacological targeting of the mammalian clock regulates sleep architecture and emotional behaviour. Nat. Commun. 5 5759 10.1038/ncomms6759 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bellet M. M., Nakahata Y., Boudjelal M., Watts E., Mossakowska D. E., Edwards K. A., et al. (2013). Pharmacological modulation of circadian rhythms by synthetic activators of the deacetylase SIRT1. Proc. Natl. Acad. Sci. U.S.A. 110 3333–3338 10.1073/pnas.1214266110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Biomarker Definitions Working Group N. I. O. H. (2001). Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Biomarkers definitions working group. Clin. Pharmacol. Ther. 69 89–95 10.1067/mcp.2001.113989 [DOI] [PubMed] [Google Scholar]
- Bonten T. N., Saris A., Van Oostrom M. J., Snoep J. D., Rosendaal F. R., Zwaginga J., et al. (2014). Effect of aspirin intake at bedtime versus on awakening on circadian rhythm of platelet reactivity. A randomised cross-over trial. Thromb. Haemost. 112 1209–1218 10.1160/TH14-05-0453 [DOI] [PubMed] [Google Scholar]
- Bradley T. D., Floras J. S. (2003). Sleep apnea and heart failure: Part I: obstructive sleep apnea. Circulation 107 1671–1678 10.1161/01.CIR.0000061757.12581.15 [DOI] [PubMed] [Google Scholar]
- Bradley T. D., Floras J. S. (2009). Obstructive sleep apnoea and its cardiovascular consequences. Lancet 373 82–93 10.1016/S0140-6736(08)61622-0 [DOI] [PubMed] [Google Scholar]
- Bray M. S., Young M. E. (2008). Diurnal variations in myocardial metabolism. Cardiovasc. Res. 79 228–237 10.1093/cvr/cvn054 [DOI] [PubMed] [Google Scholar]
- Bremner W. F., Sothern R. B., Kanabrocki E. L., Ryan M., Mccormick J. B., Dawson S., et al. (2000). Relation between circadian patterns in levels of circulating lipoprotein(a), fibrinogen, platelets, and related lipid variables in men. Am. Heart. J. 139 164–173 10.1016/S0002-8703(00)90324-7 [DOI] [PubMed] [Google Scholar]
- Chan C. T., Arab S., Carasso S., Moravsky G., Li G. H., Liu P. P., et al. (2012). Impact of frequent nocturnal hemodialysis on myocardial mechanics and cardiomyocyte gene expression. Circ. Cardiovasc. Imaging 5 474–480 10.1161/CIRCIMAGING.111.971606 [DOI] [PubMed] [Google Scholar]
- Chan C. T., Floras J. S., Miller J. A., Richardson R. M., Pierratos A. (2002). Regression of left ventricular hypertrophy after conversion to nocturnal hemodialysis. Kidney Int. 61 2235–2239 10.1046/j.1523-1755.2002.00362.x [DOI] [PubMed] [Google Scholar]
- Chan C. T., Harvey P. J., Picton P., Pierratos A., Miller J. A., Floras J. S. (2003). Short-term blood pressure, noradrenergic, and vascular effects of nocturnal home hemodialysis. Hypertension 42 925–931 10.1161/01.HYP.0000097605.35343.64 [DOI] [PubMed] [Google Scholar]
- Chen Z., Yoo S. H., Takahashi J. S. (2013). Small molecule modifiers of circadian clocks. Cell Mol. Life. Sci. 70 2985–2998 10.1007/s00018-012-1207-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clarke J. M., Hamer J., Shelton J. R., Taylor S., Venning G. R. (1976). The rhythm of the normal human heart. Lancet 1 508–512 10.1016/S0140-6736(76)90801-1 [DOI] [PubMed] [Google Scholar]
- ClinicalTrials.gov. (2015). National Institutes of Health (US). Available at: https://clinicaltrials.gov/ct2/home (accessed January 24, 2015). [Google Scholar]
- Collins A. J., Kasiske B., Herzog C., Chavers B., Foley R., Gilbertson D., et al. (2007). Excerpts from the United States renal data system 2006 annual data report. Am. J. Kidney Dis. 49(1 Suppl. 1) A6–A7, S1–S296 10.1053/j.ajkd.2006.11.019 [DOI] [PubMed] [Google Scholar]
- Cuesta M., Cermakian N., Boivin D. B. (2014). Glucocorticoids entrain molecular clock components in human peripheral cells. FASEB J. 10.1096/fj.14-265686 [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
- Culleton B. F., Walsh M., Klarenbach S. W., Mortis G., Scott-Douglas N., Quinn R. R., et al. (2007). Effect of frequent nocturnal hemodialysis vs conventional hemodialysis on left ventricular mass and quality of life: a randomized controlled trial. JAMA 298 1291–1299 10.1001/jama.298.11.1291 [DOI] [PubMed] [Google Scholar]
- Dallmann R., Viola A. U., Tarokh L., Cajochen C., Brown S. A. (2012). The human circadian metabolome. Proc. Natl. Acad. Sci. U.S.A. 109 2625–2629 10.1073/pnas.1114410109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dardente H., Cermakian N. (2007). Molecular circadian rhythms in central and peripheral clocks in mammals. Chronobiol. Int. 24 195–213 10.1080/07420520701283693 [DOI] [PubMed] [Google Scholar]
- Doherty L. S., Kiely J. L., Swan V., Mcnicholas W. T. (2005). Long-term effects of nasal continuous positive airway pressure therapy on cardiovascular outcomes in sleep apnea syndrome. Chest 127 2076–2084 10.1378/chest.127.6.2076 [DOI] [PubMed] [Google Scholar]
- Dolan E., Stanton A., Thijs L., Hinedi K., Atkins N., Mcclory S., et al. (2005). Superiority of ambulatory over clinic blood pressure measurement in predicting mortality: the dublin outcome study. Hypertension 46 156–161 10.1161/01.HYP.0000170138.56903.7a [DOI] [PubMed] [Google Scholar]
- Dominguez-Rodriguez A., Abreu-Gonzalez P., Garcia-Gonzalez M., Reiter R. J. (2006). Prognostic value of nocturnal melatonin levels as a novel marker in patients with ST-segment elevation myocardial infarction. Am. J. Cardiol. 97 1162–1164 10.1016/j.amjcard.2005.11.033 [DOI] [PubMed] [Google Scholar]
- Durgan D. J., Young M. E. (2010). The cardiomyocyte circadian clock: emerging roles in health and disease. Circ. Res. 106 647–658 10.1161/CIRCRESAHA.109.209957 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Eckel-Mahan K. L., Patel V. R., Mohney R. P., Vignola K. S., Baldi P., Sassone-Corsi P. (2012). Coordination of the transcriptome and metabolome by the circadian clock. Proc. Natl. Acad. Sci. U.S.A. 109 5541–5546 10.1073/pnas.1118726109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Etchegaray J. P., Lee C., Wade P. A., Reppert S. M. (2003). Rhythmic histone acetylation underlies transcription in the mammalian circadian clock. Nature 421 177–182 10.1038/nature01314 [DOI] [PubMed] [Google Scholar]
- Fagard R. H., Thijs L., Staessen J. A., Clement D. L., De Buyzere M. L., De Bacquer D. A. (2009). Night-day blood pressure ratio and dipping pattern as predictors of death and cardiovascular events in hypertension. J. Hum. Hypertens. 23 645–653 10.1038/jhh.2009.9 [DOI] [PubMed] [Google Scholar]
- Floras J. S. (2014). Sleep apnea and cardiovascular risk. J. Cardiol. 63 3–8 10.1016/j.jjcc.2013.08.009 [DOI] [PubMed] [Google Scholar]
- Floras J. S., Jones J. V., Johnston J. A., Brooks D. E., Hassan M. O., Sleight P. (1978). Arousal and the circadian rhythm of blood pressure. Clin. Sci. Mol. Med. Suppl. 4 395s–397s 10.1016/j.cjca.2014.02.008u3.12 [DOI] [PubMed] [Google Scholar]
- Fox K. M. EURopean trial On reduction of cardiac events with Perindopril in stable coronary Artery disease Investigators (2003). Efficacy of perindopril in reduction of cardiovascular events among patients with stable coronary artery disease: randomised, double-blind, placebo-controlled, multicentre trial (the EUROPA study). Lancet 362 782–788 10.1016/S0140-6736(03)14286-9 [DOI] [PubMed] [Google Scholar]
- Fujimura A., Kumagai Y., Sugimoto K., Nakashima H., Kajiyama H., Ebihara A., et al. (1990). Circadian influence on effect of propranolol on exercise-induced tachycardia in healthy subjects. Eur. J. Clin. Pharmacol. 38 133–137 10.1007/BF00265971 [DOI] [PubMed] [Google Scholar]
- Gamble K. L., Berry R., Frank S. J., Young M. E. (2014). Circadian clock control of endocrine factors. Nat. Rev. Endocrinol. 10 466–475 10.1038/nrendo.2014.78 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harnett J. D., Foley R. N., Kent G. M., Barre P. E., Murray D., Parfrey P. S. (1995). Congestive heart failure in dialysis patients: prevalence, incidence, prognosis and risk factors. Kidney Int. 47 884–890 10.1038/ki.1995.132 [DOI] [PubMed] [Google Scholar]
- Harnett J. D., Kent G. M., Barre P. E., Taylor R., Parfrey P. S. (1994). Risk factors for the development of left ventricular hypertrophy in a prospectively followed cohort of dialysis patients. J. Am. Soc. Nephrol. 4 1486–1490. [DOI] [PubMed] [Google Scholar]
- Hastings M. H., Reddy A. B., Maywood E. S. (2003). A clockwork web: circadian timing in brain and periphery, in health and disease. Nat. Rev. Neurosci. 4 649–661 10.1038/nrn1177 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Ayala D. E. (2009). Chronotherapy with the angiotensin-converting enzyme inhibitor ramipril in essential hypertension: improved blood pressure control with bedtime dosing. Hypertension 54 40–46 10.1161/HYPERTENSIONAHA.109.130203 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Ayala D. E., Calvo C., Lopez J. E. (2005a). Aspirin administered at bedtime, but not on awakening, has an effect on ambulatory blood pressure in hypertensive patients. J. Am. Coll. Cardiol. 46 975–983 10.1016/j.jacc.2004.08.071 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Calvo C., Ayala D. E., Fernandez J. R., Covelo M., Mojon A., et al. (2005b). Treatment of non-dipper hypertension with bedtime administration of valsartan. J. Hypertens. 23 1913–1922 10.1097/01.hjh.0000182522.21569.c5 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Ayala D. E., Chayan L., Mojon A., Fernandez J. R. (2009). Administration-time-dependent effects of olmesartan on the ambulatory blood pressure of essential hypertension patients. Chronobiol. Int. 26 61–79 10.1080/07420520802548135 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Ayala D. E., Fernandez J. R., Calvo C. (2007). Comparison of the efficacy of morning versus evening administration of telmisartan in essential hypertension. Hypertension 50 715–722 10.1161/HYPERTENSIONAHA.107.094235 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Ayala D. E., Fontao M. J., Mojon A., Alonso I., Fernandez J. R. (2010a). Administration-time-dependent effects of spirapril on ambulatory blood pressure in uncomplicated essential hypertension. Chronobiol. Int. 27 560–574 10.3109/07420528.2010.485411 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Ayala D. E., Fontao M. J., Mojon A., Fernandez J. R. (2010b). Chronotherapy with valsartan/amlodipine fixed combination: improved blood pressure control of essential hypertension with bedtime dosing. Chronobiol. Int. 27 1287–1303 10.3109/07420528.2010.489167 [DOI] [PubMed] [Google Scholar]
- Hermida R. C., Ayala D. E., Mojon A., Fontao M. J., Fernandez J. R. (2011). Chronotherapy with valsartan/hydrochlorothiazide combination in essential hypertension: improved sleep-time blood pressure control with bedtime dosing. Chronobiol. Int. 28 601–610 10.3109/07420528.2011.589935 [DOI] [PubMed] [Google Scholar]
- Hoshino A., Nakamura T., Matsubara H. (2010). The bedtime administration ameliorates blood pressure variability and reduces urinary albumin excretion in amlodipine-olmesartan combination therapy. Clin. Exp. Hypertens. 32 416–422 10.3109/10641961003667948 [DOI] [PubMed] [Google Scholar]
- Jaffe A. S., Babuin L., Apple F. S. (2006). Biomarkers in acute cardiac disease: the present and the future. J. Am. Coll. Cardiol. 48 1–11 10.1016/j.jacc.2006.02.056 [DOI] [PubMed] [Google Scholar]
- Kaneko Y., Floras J. S., Usui K., Plante J., Tkacova R., Kubo T., et al. (2003). Cardiovascular effects of continuous positive airway pressure in patients with heart failure and obstructive sleep apnea. N. Engl. J. Med. 348 1233–1241 10.1056/NEJMoa022479 [DOI] [PubMed] [Google Scholar]
- Kasai T., Bradley T. D. (2011). Obstructive sleep apnea and heart failure: pathophysiologic and therapeutic implications. J. Am. Coll. Cardiol. 57 119–127 10.1016/j.jacc.2010.08.627 [DOI] [PubMed] [Google Scholar]
- Kasukawa T., Sugimoto M., Hida A., Minami Y., Mori M., Honma S., et al. (2012). Human blood metabolite timetable indicates internal body time. Proc. Natl. Acad. Sci. U.S.A. 109 15036–15041 10.1073/pnas.1207768109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Katada S., Sassone-Corsi P. (2010). The histone methyltransferase MLL1 permits the oscillation of circadian gene expression. Nat. Struct. Mol. Biol. 17 1414–1421 10.1038/nsmb.1961 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kober L., Torp-Pedersen C., Carlsen J. E., Bagger H., Eliasen P., Lyngborg K., et al. (1995). A clinical trial of the angiotensin-converting-enzyme inhibitor trandolapril in patients with left ventricular dysfunction after myocardial infarction. Trandolapril cardiac evaluation (TRACE) study group. N. Engl. J. Med. 333 1670–1676 10.1056/NEJM199512213332503 [DOI] [PubMed] [Google Scholar]
- Kojetin D. J., Burris T. P. (2014). REV-ERB and ROR nuclear receptors as drug targets. Nat. Rev. Drug Discov. 13 197–216 10.1038/nrd4100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Labrecque G., Belanger P. M. (1991). Biological rhythms in the absorption, distribution, metabolism and excretion of drugs. Pharmacol. Ther. 52 95–107 10.1016/0163-7258(91)90088-4 [DOI] [PubMed] [Google Scholar]
- Langner B., Lemmer B. (1988). Circadian changes in the pharmacokinetics and cardiovascular effects of oral propranolol in healthy subjects. Eur. J. Clin. Pharmacol. 33 619–624 10.1007/BF00542498 [DOI] [PubMed] [Google Scholar]
- Leibetseder V., Humpeler S., Svoboda M., Schmid D., Thalhammer T., Zuckermann A., et al. (2009). Clock genes display rhythmic expression in human hearts. Chronobiol. Int. 26 621–636 10.1080/07420520902924939 [DOI] [PubMed] [Google Scholar]
- Lemmer B., Winkler H., Ohm T., Fink M. (1985). Chronopharmacokinetics of β-receptor blocking drugs of different lipophilicity (propranolol, metoprolol, sotalol, atenolol) in plasma and tissues after single and multiple dosing in the rat. Naunyn Schmiedebergs Arch. Pharmacol. 330 42–49 10.1007/BF00586708 [DOI] [PubMed] [Google Scholar]
- Macchiarulo C., Pieri R., Mitolo D. C., Pirrelli A. (1999). Management of antihypertensive treatment with Lisinopril: a chronotherapeutic approach. Eur. Rev. Med. Pharmacol. Sci. 3 269–275. [PubMed] [Google Scholar]
- Maisel A. S., Bhalla V., Braunwald E. (2006). Cardiac biomarkers: a contemporary status report. Nat. Clin. Pract. Cardiovasc. Med. 3 24–34 10.1038/ncpcardio0405 [DOI] [PubMed] [Google Scholar]
- Marin J. M., Carrizo S. J., Vicente E., Agusti A. G. (2005). Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: an observational study. Lancet 365 1046–1053 10.1016/S0140-6736(05)71141-7 [DOI] [PubMed] [Google Scholar]
- Martino T., Arab S., Straume M., Belsham D. D., Tata N., Cai F., et al. (2004). Day/night rhythms in gene expression of the normal murine heart. J. Mol. Med. 82 256–264 10.1007/s00109-003-0520-1 [DOI] [PubMed] [Google Scholar]
- Martino T. A., Sole M. J. (2009). Molecular time: an often overlooked dimension to cardiovascular disease. Circ. Res. 105 1047–1061 10.1161/CIRCRESAHA.109.206201 [DOI] [PubMed] [Google Scholar]
- Martino T. A., Tata N., Bjarnason G. A., Straume M., Sole M. J. (2007). Diurnal protein expression in blood revealed by high throughput mass spectrometry proteomics and implications for translational medicine and body time of day. Am. J. Physiol. Regul. Integr. Comp. Physiol. 293 R1430–R1437 10.1152/ajpregu.00183.2007 [DOI] [PubMed] [Google Scholar]
- Martino T. A., Tata N., Simpson J. A., Vanderlaan R., Dawood F., Kabir M. G., et al. (2011). The primary benefits of angiotensin-converting enzyme inhibition on cardiac remodeling occur during sleep time in murine pressure overload hypertrophy. J. Am. Coll. Cardiol. 57 2020–2028 10.1016/j.jacc.2010.11.022 [DOI] [PubMed] [Google Scholar]
- Meng Q. J., Maywood E. S., Bechtold D. A., Lu W. Q., Li J., Gibbs J. E., et al. (2010). Entrainment of disrupted circadian behavior through inhibition of casein kinase 1 (CK1) enzymes. Proc. Natl. Acad. Sci. U.S.A. 107 15240–15245 10.1073/pnas.1005101107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mengden T., Battig B., Schubert M., Jeck T., Weisser B., Buddeberg C., et al. (1992). Comparison of casual, ambulatory and self-measured blood pressure in a study of nitrendipine vs bisoprolol. Eur. J. Clin. Pharmacol. 42 569–575 10.1007/BF00265917 [DOI] [PubMed] [Google Scholar]
- Millar-Craig M. W., Bishop C. N., Raftery E. B. (1978). Circadian variation of blood-pressure. Lancet 1 795–797 10.1016/S0140-6736(78)92998-7 [DOI] [PubMed] [Google Scholar]
- Minami Y., Kasukawa T., Kakazu Y., Iigo M., Sugimoto M., Ikeda S., et al. (2009). Measurement of internal body time by blood metabolomics. Proc. Natl. Acad. Sci. U.S.A. 106 9890–9895 10.1073/pnas.0900617106 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mohawk J. A., Green C. B., Takahashi J. S. (2012). Central and peripheral circadian clocks in mammals. Annu. Rev. Neurosci. 35 445–462 10.1146/annurev-neuro-060909-153128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mozaffarian D., Benjamin E. J., Go A. S., Arnett D. K., Blaha M. J., Cushman M., et al. (2014). Heart disease and stroke statistics-2015 update: a report from the American heart association. Circulation 131 e29–e322 10.1161/CIR.0000000000000152 [DOI] [PubMed] [Google Scholar]
- Muller J. E., Ludmer P. L., Willich S. N., Tofler G. H., Aylmer G., Klangos I., et al. (1987). Circadian variation in the frequency of sudden cardiac death. Circulation 75 131–138 10.1161/01.CIR.75.1.131 [DOI] [PubMed] [Google Scholar]
- Muller J. E., Stone P. H., Turi Z. G., Rutherford J. D., Czeisler C. A., Parker C., et al. (1985). Circadian variation in the frequency of onset of acute myocardial infarction. N. Engl. J. Med. 313 1315–1322 10.1056/NEJM198511213132103 [DOI] [PubMed] [Google Scholar]
- Musiek E. S., Fitzgerald G. A. (2013). Molecular clocks in pharmacology. Handb. Exp. Pharmacol. 217 243–260 10.1007/978-3-642-25950-0_10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nakahata Y., Kaluzova M., Grimaldi B., Sahar S., Hirayama J., Chen D., et al. (2008). The NAD+-dependent deacetylase SIRT1 modulates CLOCK-mediated chromatin remodeling and circadian control. Cell 134 329–340 10.1016/j.cell.2008.07.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nissen S. E., Tuzcu E. M., Libby P., Thompson P. D., Ghali M., Garza D., et al. (2004). Effect of antihypertensive agents on cardiovascular events in patients with coronary disease and normal blood pressure: the CAMELOT study: a randomized controlled trial. JAMA 292 2217–2225 10.1001/jama.292.18.2217 [DOI] [PubMed] [Google Scholar]
- Ohkubo T., Hozawa A., Yamaguchi J., Kikuya M., Ohmori K., Michimata M., et al. (2002). Prognostic significance of the nocturnal decline in blood pressure in individuals with and without high 24-h blood pressure: the Ohasama study. J. Hypertens. 20 2183–2189 10.1097/00004872-200211000-00017 [DOI] [PubMed] [Google Scholar]
- Palatini P. (1992). Can an angiotensin-converting enzyme inhibitor with a short half-life effectively lower blood pressure for 24 hours? Am. Heart J. 123 1421–1425 10.1016/0002-8703(92)91064-8 [DOI] [PubMed] [Google Scholar]
- Paschos G. K., Baggs J. E., Hogenesch J. B., Fitzgerald G. A. (2010). The role of clock genes in pharmacology. Annu. Rev. Pharmacol. Toxicol. 50 187–214 10.1146/annurev.pharmtox.010909.105621 [DOI] [PubMed] [Google Scholar]
- Paschos G. K., FitzGerald G. A. (2010). Circadian clocks and vascular function. Circ. Res. 106 833–841 10.1161/CIRCRESAHA.109.211706 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paschos G. K., Ibrahim S., Song W. L., Kunieda T., Grant G., Reyes T. M., et al. (2012). Obesity in mice with adipocyte-specific deletion of clock component Arntl. Nat. Med. 18 1768–1777 10.1038/nm.2979 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patel V. R., Eckel-Mahan K., Sassone-Corsi P., Baldi P. (2012). CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics. Nat. Methods 9 772–773 10.1038/nmeth.2111 [DOI] [PubMed] [Google Scholar]
- Pfeffer M. A., Braunwald E., Moye L. A., Basta L., Brown E. J., Jr., Cuddy T. E., et al. (1992). Effect of captopril on mortality and morbidity in patients with left ventricular dysfunction after myocardial infarction. Results of the survival and ventricular enlargement trial. The SAVE investigators. N. Engl. J. Med. 327 669–677 10.1056/NEJM199209033271001 [DOI] [PubMed] [Google Scholar]
- Pierratos A., Ouwendyk M., Francoeur R., Vas S., Raj D. S., Ecclestone A. M., et al. (1998). Nocturnal hemodialysis: three-year experience. J. Am. Soc. Nephrol. 9 859–868. [DOI] [PubMed] [Google Scholar]
- Pilorz V., Cunningham P. S., Jackson A., West A. C., Wager T. T., Loudon A. S., et al. (2014). A novel mechanism controlling resetting speed of the circadian clock to environmental stimuli. Curr. Biol. 24 766–773 10.1016/j.cub.2014.02.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pinotti M., Bertolucci C., Portaluppi F., Colognesi I., Frigato E., Foa A., et al. (2005). Daily and circadian rhythms of tissue factor pathway inhibitor and factor VII activity. Arterioscler. Thromb. Vasc. Biol. 25 646–649 10.1161/01.ATV.0000153140.13148.e0 [DOI] [PubMed] [Google Scholar]
- Pletcher M. J., Pignone M. (2011). Evaluating the clinical utility of a biomarker: a review of methods for estimating health impact. Circulation 123 1116–1124 10.1161/CIRCULATIONAHA.110.943860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Podobed P. S., Kirby G. M., Martino T. A. (2012). “Circadian proteomics and Its unique advantage for discovery of biomarkers of heart disease,” in Proteomics. Human Diseases and Protein Functions eds Man T. K., Flores R. J. (Rijeka: InTech) 65–88. [Google Scholar]
- Podobed P., Pyle W. G., Ackloo S., Alibhai F. J., Tsimakouridze E. V., Ratcliffe W. F., et al. (2014). The day/night proteome in the murine heart. Am. J. Physiol. Regul. Integr. Comp. Physiol. R121–R137 10.1152/ajpregu.00011.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Public Health Agency of Canada. (2009). Tracking Heart Disease and Stroke in Canada, 2009. Ottawa: Public Health Agency of Canada. [Google Scholar]
- Raj D. S., Charra B., Pierratos A., Work J. (1999). In search of ideal hemodialysis: is prolonged frequent dialysis the answer? Am. J. Kidney Dis. 34 597–610 10.1016/S0272-6386(99)70382-3 [DOI] [PubMed] [Google Scholar]
- Reinberg A. E. (1991). Concepts of circadian chronopharmacology. Ann. N. Y. Acad. Sci. 618 102–115 10.1111/j.1749-6632.1991.tb27239.x [DOI] [PubMed] [Google Scholar]
- Reisin L. H., Pancheva N., Berman M., Khalameizer V., Jafary J., Yosefy C., et al. (2004). Circadian variation of the efficacy of thrombolytic therapy in acute myocardial infarction-isn’t the time ripe for cardiovascular chronotherapy? Angiology 55 257–263 10.1177/000331970405500304 [DOI] [PubMed] [Google Scholar]
- Ridker P. M., Manson J. E., Buring J. E., Muller J. E., Hennekens C. H. (1990). Circadian variation of acute myocardial infarction and the effect of low-dose aspirin in a randomized trial of physicians. Circulation 82 897–902 10.1161/01.CIR.82.3.897 [DOI] [PubMed] [Google Scholar]
- Roenneberg T., Merrow M. (2005). Circadian clocks - the fall and rise of physiology. Nat. Rev. Mol. Cell Biol. 6 965–971 10.1038/nrm1766 [DOI] [PubMed] [Google Scholar]
- Scheer F. A., Michelson A. D., Frelinger A. L., III, Evoniuk H., Kelly E. E., Mccarthy M., et al. (2011). The human endogenous circadian system causes greatest platelet activation during the biological morning independent of behaviors. PLoS ONE 6:e24549 10.1371/journal.pone.0024549 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scheer F. A., Shea S. A. (2013). Human circadian system causes morning peak in pro-thrombotic plasminogen activator inhibitor-1 (PAI-1) independent of sleep/wake cycle. Blood 123 590–593 10.1182/blood-2013-07-517060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schoenhard J. A., Smith L. H., Painter C. A., Eren M., Johnson C. H., Vaughan D. E. (2003). Regulation of the PAI-1 promoter by circadian clock components: differential activation by BMAL1 and BMAL2. J. Mol. Cell Cardiol. 35 473–481 10.1016/S0022-2828(03)00051-8 [DOI] [PubMed] [Google Scholar]
- Smolensky M. H., D’Alonzo G. E. (1988). Biologic rhythms and medicine. Am. J. Med. 85 34–46 10.1016/0002-9343(88)90240-9 [DOI] [PubMed] [Google Scholar]
- Smolensky M. H., Peppas N. A. (2007). Chronobiology, drug delivery, and chronotherapeutics. Adv. Drug Deliv. Rev. 59 828–851 10.1016/j.addr.2007.07.001 [DOI] [PubMed] [Google Scholar]
- Sole M. J., Martino T. A. (2009). Diurnal physiology: core principles with application to the pathogenesis, diagnosis, prevention, and treatment of myocardial hypertrophy and failure. J. Appl. Physiol. 107 1318–1327 10.1152/japplphysiol.00426.2009 [DOI] [PubMed] [Google Scholar]
- Solt L. A., Wang Y., Banerjee S., Hughes T., Kojetin D. J., Lundasen T., et al. (2012). Regulation of circadian behaviour and metabolism by synthetic REV-ERB agonists. Nature 485 62–68 10.1038/nature11030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Somers V. K., White D. P., Amin R., Abraham W. T., Costa F., Culebras A., et al. (2008). Sleep apnea and cardiovascular disease: an American Heart Association/American College of Cardiology Foundation Scientific Statement from the American Heart Association Council for High Blood Pressure Research Professional Education Committee, Council on Clinical Cardiology, Stroke Council, and Council on Cardiovascular Nursing. J. Am. Coll. Cardiol. 52 686–717 10.1016/j.jacc.2008.05.002 [DOI] [PubMed] [Google Scholar]
- Storch K. F., Lipan O., Leykin I., Viswanathan N., Davis F. C., Wong W. H., et al. (2002). Extensive and divergent circadian gene expression in liver and heart. Nature 417 78–83 10.1038/nature744 [DOI] [PubMed] [Google Scholar]
- Takeda N., Maemura K., Horie S., Oishi K., Imai Y., Harada T., et al. (2007). Thrombomodulin is a clock-controlled gene in vascular endothelial cells. J. Biol. Chem. 282 32561–32567 10.1074/jbc.M705692200 [DOI] [PubMed] [Google Scholar]
- Townsend N., Williams J., Bhatnagar P., Wickramasinghe K., Rayner M. S. (2014). Cardiovascular Disease Statistics, 2014 Greater London House: British Heart Foundation. [Google Scholar]
- Tsimakouridze E. V., Straume M., Podobed P. S., Chin H., Lamarre J., Johnson R., et al. (2012). Chronomics of pressure overload-induced cardiac hypertrophy in mice reveals altered day/night gene expression and biomarkers of heart disease. Chronobiol. Int. 29 810–821 10.3109/07420528.2012.691145 [DOI] [PubMed] [Google Scholar]
- Turek F. W., Joshu C., Kohsaka A., Lin E., Ivanova G., Mcdearmon E., et al. (2005). Obesity and metabolic syndrome in circadian Clock mutant mice. Science 308 1043–1045 10.1126/science.1108750 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ueda H. R., Chen W., Minami Y., Honma S., Honma K., Iino M., et al. (2004). Molecular-timetable methods for detection of body time and rhythm disorders from single-time-point genome-wide expression profiles. Proc. Natl. Acad. Sci. U.S.A. 101 11227–11232 10.1073/pnas.0401882101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verdecchia P., Schillaci G., Guerrieri M., Gatteschi C., Benemio G., Boldrini F., et al. (1990). Circadian blood pressure changes and left ventricular hypertrophy in essential hypertension. Circulation 81 528–536 10.1161/01.CIR.81.2.528 [DOI] [PubMed] [Google Scholar]
- Vollmers C., Schmitz R. J., Nathanson J., Yeo G., Ecker J. R., Panda S. (2012). Circadian oscillations of protein-coding and regulatory RNAs in a highly dynamic mammalian liver epigenome. Cell Metab. 16 833–845 10.1016/j.cmet.2012.11.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Walton K. M., Fisher K., Rubitski D., Marconi M., Meng Q. J., Sladek M., et al. (2009). Selective inhibition of casein kinase 1 epsilon minimally alters circadian clock period. J. Pharmacol. Exp. Ther. 330 430–439 10.1124/jpet.109.151415 [DOI] [PubMed] [Google Scholar]
- Westgate E. J., Cheng Y., Reilly D. F., Price T. S., Walisser J. A., Bradfield C. A., et al. (2008). Genetic components of the circadian clock regulate thrombogenesis in vivo. Circulation 117 2087–2095 10.1161/CIRCULATIONAHA.107.739227 [DOI] [PubMed] [Google Scholar]
- Witte K., Weisser K., Neubeck M., Mutschler E., Lehmann K., Hopf R., et al. (1993). Cardiovascular effects, pharmacokinetics, and converting enzyme inhibition of enalapril after morning versus evening administration. Clin. Pharmacol. Ther. 54 177–186 10.1038/clpt.1993.129 [DOI] [PubMed] [Google Scholar]
- Woldt E., Sebti Y., Solt L. A., Duhem C., Lancel S., Eeckhoute J., et al. (2013). Rev-erb-alpha modulates skeletal muscle oxidative capacity by regulating mitochondrial biogenesis and autophagy. Nat. Med. 19 1039–1046 10.1038/nm.3213 [DOI] [PMC free article] [PubMed] [Google Scholar]
- World Health Organization [WHO] (2011). “Description of the global burden of NCDs, their risk factors and determinants,” in Global Status Report on Non-communicable Diseases 2010 Geneva; Available at: http://www.who.int/nmh/publications/ncd_report2010/en/ [Google Scholar]
- Young M. E. (2006). The circadian clock within the heart: potential influence on myocardial gene expression, metabolism, and function. Am. J. Physiol. Heart Circ. Physiol. 290 H1–H16 10.1152/ajpheart.00582.2005 [DOI] [PubMed] [Google Scholar]
- Yusuf S., Sleight P., Pogue J., Bosch J., Davies R., Dagenais G. (2000). Effects of an angiotensin-converting-enzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. The heart outcomes prevention evaluation study investigators. N. Engl. J. Med. 342 145–153 10.1056/NEJM200001203420301 [DOI] [PubMed] [Google Scholar]
- Zhang R., Lahens N. F., Ballance H. I., Hughes M. E., Hogenesch J. B. (2014). A circadian gene expression atlas in mammals: implications for biology and medicine. Proc. Natl. Acad. Sci. U.S.A. 111 16219–16224 10.1073/pnas.1408886111 [DOI] [PMC free article] [PubMed] [Google Scholar]