Abstract
The daily variations found in many aspects of physiology are collectively known as circadian rhythm (from “circa” meaning “about” and “dien” meaning “day”). Circadian oscillation in clock gene expression can generate quantitative or functional variations of the molecules directly involved in many physiological functions. This paper reviews the molecular mechanisms of the circadian clock, the transmission of circadian effects to cardiovascular functions, and the effects of circadian dysfunction on cardiovascular diseases. An evaluation of the operation of the internal clock is needed in clinical settings and will be an effective tool in the diagnosis of circadian rhythm disorders. Toward this end, we introduce a novel non-invasive method for assessing circadian time-regulation in human beings through the utilization of hair follicle cells.
Introduction
Circadian variations are observed in many physiological functions; they are generated autonomously by an internal circadian clock. The circadian period in human subjects is slightly longer than 24 h. Light and food intake have been found to be effective factors in phase adjustment to the environmental cycle. The circadian clock is composed of transcriptional feedback loops between clock genes that regulate quantitative variations in functionally related genes in almost all cells in the human body. Models constructed from studies of mouse subjects have shown that dysfunctions of the circadian clock are a risk factor in certain cardiovascular conditions. In order to study the relations between cardiovascular problems and the circadian clock in man, methods to elucidate the operation of the clock in human subjects should be improved. In this review, we will survey the risks associated with dysfunction of the circadian clock suggested by the mouse studies. We will then propose possible approaches to, and future improvements in, the assessment of the operation of the circadian clock in humans.
The circadian clock and modern life
Most organisms, both diurnal and nocturnal, adapt their physiological functions to the basic natural 24-h light-dark cycle (Hastings et al., 2008). Human physiology prepares for daytime-activities by up-regulating body temperature and blood pressure, and prepares for sleep by down-regulating them (Aschoff, 1965). Circadian variations are also found in endocrine secretions, metabolic processes, neuronal activities, and immune functions (Weitzman et al., 1971; Lewy and Markey, 1978; Haus, 2007; Bass, 2012; Scheiermann et al., 2013). In all of these cases they operate without external time cues (Figure 1). That is to say, the circadian clock can generate circadian variations autonomously (Mills, 1964; Aschoff, 1965), enabling the efficient readying and discharge of physiological functions, to the organism's great advantage.
Figure 1
Because the circadian period in human subjects is slightly longer than 24 h, the phase must be adjusted every day to prevent the desynchronization of inner rhythm and the environmental cycle. The light and food intake have been found effective for the entraining of this adjustment. However, disordered light conditions and irregular meal times create anomalies in the synchronization of internal biorhythm with the external cycle. Many aspects of modern life uncouple our physiological rhythms from our natural environment: one does not have to travel to experience the equivalent of jet-lag. An important focus for current research is the connection between certain modern “life style” pathologies and the circadian clock.
A clock in every cell
The circadian clock is composed of transcriptional feedback loop between clock genes (Okamura et al., 2010; Takeda and Maemura, 2011). The autonomous regulation of clock gene expression is thought to create a ~24 h oscillation which is transmitted to produce parallel physiological fluctuations. Interestingly, clock genes oscillate not only in the suprachiasmatic nucleus (SCN), located in the diencephalon, but in almost all peripheral cells (Yamazaki et al., 2000). Circadian rhythmicity has been detected in single-cells cultured in vitro. Differences in the individual periods of individual cells need to be phase adjusted to avoid internal desynchronization (Nagoshi et al., 2004), which would lead to discordance in physiological rhythm. This suggests a function for the SCN, to entrain peripheral clocks as the internal pacemaker.
There are about 20 clock genes in mammals, but the core functioning genes amount to 7, of 4 types: Period (abbreviated as Per; Per1, Per2, and Per3), Cryptochrome (abbreviated as Cry; Cry1 and Cry2), Clock and Bmal1 (Lowrey and Takahashi, 2011, Figure 2). PER and CRY form a hetero dimer and work as suppressors. CLOCK and BMAL1 activate transcription of Per through the cis element E-boxes. PER decreases gradually as a result of repression, and the CLOCK/BMAL1 heterodimer activates the expression again. This autonomous feedback repeats approximately every 24 h. The system maintains stable periodicity through reinforcement by other transcriptional regulators, such as ROR, REV-ERB, DBP, and E4BP4.
Figure 2
Circadian clock and cardiovascular function
There is an increasing body of evidence that the increasing intensity of cardiovascular events in the morning hours (Muller et al., 1985; Paschos and FitzGerald, 2010), indicating circadian rhythm is also found in cardiovascular functions. Studies of healthy subjects show a clear decrease in endothelial function in the early morning, implying that this plays a role in inducing the mechanisms of the morning peak (Otto et al., 2004). Blood pressure, heart rate, and the operation of the renin-angiotensin-aldosterone system (RAAS) have been shown to increase in the morning (Williams et al., 1972; Mancia et al., 1983). Thrombotic tendencies are elevated early in the morning along with platelet aggregation and the fibrinolytic system (Fearnley et al., 1957; Tofler et al., 1987). Vascular resistance and sympathetic activation are also evident before waking (Panza et al., 1991). These morning bias may be related to ischemic diseases such as subarachnoid hemorrhage, cerebral infarction, vascular disease of the brain, angina, and myocardial infarction (Muller et al., 1985; Paschos and FitzGerald, 2010).
The circadian clock is operative in both endothelial and smooth muscle cells (Reilly et al., 2007). The clock gene regulates the quantitative variation of ccg's (clock controlled genes)—such as plasminogen activator inhibitor-1 (Pai-I), type VI 3 beta-hydroxyl-steroid dehydrogenase (Hsd3b6)—which are specifically expressed in adipocyte and adrenal zona glomerulosa cells respectively and directly operate inhibition of plasminogen or steroid dehydrogenase activity respectively (Maemura et al., 2000; Schoenhard et al., 2003; Doi et al., 2010, Figure 2). Global analysis of the aorta has demonstrated that about 300 relevant genes, including vascular function related genes, display daily fluctuations (Rudic et al., 2005). To elucidate the role of core-clock genes within the circulatory system, mouse models deficient for specific core-clock genes have been evaluated. Disordered amplitude, period and phase of blood pressure and heart rate were reported, although there are phenotypical variations in these effects depending on which gene was deactivated (Curtis et al., 2007; Vukolic et al., 2010; Bonny et al., 2013; Richards and Gumz, 2013). The balance of renal excretion/reabsorption of water and electrolytes is considered a major factor for blood pressure. Analysis with Per1 KO or Clock mutant mice, in which blood pressure is significantly reduced, suggests that several key molecules are controlled by the adrenal clock (Zuber et al., 2009; Nikolaeva et al., 2012; Stow et al., 2012). In hypertensive humans, abnormal circadian expression of PER1 has been found by transcriptome analysis (Marques et al., 2011). In Bmal1-knockout or Clock mutant mice, increased pathological vascular remodeling and injury together with disrupted thrombosis were observed (Westgate et al., 2008; Anea et al., 2009). In the aorta of these mice, subsequent endothelial dysfunction led to significantly low activity of AKT (Anea et al., 2009). In endothelial cells from Per2 mutant mice, AKT signaling and vascular senescence were increased indicating AKT-dependent senescence (Wang et al., 2008). Last, in the aortic ring of Per2 mutant mice, impaired endothelial-dependent relaxations to the administration of acetylcholine were observed (Viswambharan et al., 2007). These studies conclusively show that clock genes fulfill critical roles in the regulation of cardiovascular functions.
Circadian clock and arteriosclerosis
Recent studies have found that dysfunction of the circadian clock represents the risk factor for arteriosclerosis. A study published in 2005 showed that Clock mutant mice manifest elevated blood glucose levels, lipid abnormalities, and obesity (Turek et al., 2005). Regarding the last of these, BMAL1 regulates circadian fluctuations in genes involved in lipid metabolism, indicating a connection between the periodicity of meal times and obesity (Shimba et al., 2005). Deficiency in Clock or Bmal1 triggers defects in the size of the pancreatic islet, and reduced insulin secretion (Marcheva et al., 2010, Figure 3). On the other hand, knock down of Cry1 and Cry2 induces up-regulation of blood glucose levels and insulin resistance, so CRY is considered to be a repressor of gluconeogenesis (Zhang et al., 2010). Moreover, in Cry1, 2 double-deficient mice, abnormally high aldosterone synthesis is indicated, tending toward salt-sensitive hypertension (Doi et al., 2010, Figure 4). Still, a direct relation between the circadian clock and arteriosclerosis has not as yet been demonstrated. However, taking a holistic view of the relations between arterial functions, the circadian clock, and the up-regulation of risk factors of arterial sclerosis caused by clock gene deficiency, it appears to be true that desynchronization between the circadian clock and the organism's life-style worsens the situation.
Figure 3
Figure 4
Chronobiological approaches to cardiovascular health
As mentioned above, dysfunction of the circadian clock may be a potential risk factor for cardiovascular diseases. If additional studies in actual human disorders reveal that this dysfunction is often observed in patients, clinical methods will be required to diagnose whether this is due to autonomous clock dysfunction (endogenous factors) or to lifestyle habits (environmental factors). We therefore propose a two-step diagnosis: the first step is biopsy-based and the second is tissue culture-based. The data obtained from the first step covers both endogenous and environmental factors, whereas the second basically covers only endogenous factors such as individual differences in genetic or epigenetic background. Careful comparison between the results obtained from these two steps would provide the information necessary to carry out appropriate treatment for individual circadian disorders.
The first step will enable diagnosis of what might be called social jet lag (desynchronization between internal and external cycles). Although melatonin measurement has been traditionally adopted in such diagnoses, and serum metabolites more recently utilized as circadian markers, these are likely affected by light- or feeding-induced masking, and accordingly require a controlled environment within the laboratory. More fundamentally, the investigation of the circadian pacemaker should require the examination of circadian clock gene expression, since the core clock is composed of cell-autonomous transcriptional feedback loops. Several reports have indicated that it is possible to measure clock gene expression through biopsies in human subjects. For example, human visceral and subcutaneous adipose tissues (VAT and SAT) (Gómez-Abellán et al., 2008, 2012a; Otway et al., 2011; Hernandez-Morante et al., 2012) are used to compare differences in clock gene expression between, variously, obese and diabetic subjects (Otway et al., 2011), males and females (Gómez-Abellán et al., 2012a), and premenopausal and menopausal women (Hernandez-Morante et al., 2012). Tissue biopsies are powerful tools for obtaining information in research settings, although they would be troublesome for patients in clinical settings. The circadian phase displayed in our recently established method utilizing hair follicle cells is similar to that displayed in leukocytes (Watanabe et al., 2012). For this reason we offer it as a potential solution to this difficulty, and a way of moving forward in out-of-lab investigation and diagnosis of human clock mechanisms, although we recognize that it is a method that still requires some technical fine-tuning. Details of the hair-follicle method will be given in the next section of this review-paper.
A report from Brown's group suggests that it is possible to perform the second step using primary culture cells (Brown et al., 2005) and monitoring clock gene expression for autonomous clock dysfunction. They have already succeeded in detecting a correlation between fibroblast period length and the human chronotype (Brown et al., 2008), and also found that there was no difference in peripheral clock properties between young and old subjects (Pagani et al., 2011). Interestingly, this group has shown that blind individuals showed on average the same fibroblast clock properties as sighted ones in spite of different physiological periods (Pagani et al., 2010). Several applications of this method have been reported from other research groups; primary adipocytes were obtained from VAT and SAT by performing biopsies, and these two types of adipocytes were cultured and compared in terms of expression levels, circadian phases, amplitudes and circadian periods (Gómez-Santos et al., 2009; Garaulet et al., 2011; Gómez-Abellán et al., 2012b).
Current methods for the detection of the circadian clock in human beings
Though the circadian clock has a deep relationship to the rhythms of everyday human existence, the findings from studies in mice have not been fully replicated in studies of Homo sapiens. Since the cloning of the first clock gene in mammals in 1997 (Tei et al., 1997), only a handful of reports examining clock gene activity in man have been published. This is mainly because methods for the detection of circadian clock functions in man is difficult owing to the invasive character of the established experimental procedures. The development of non-invasive, easily-replicated methods is urgent. As mentioned above, almost all cells in the body contain a circadian clock. Therefore, the peripheral clock can be used to evaluate circadian functions because it behaves basically the same as the central clock in the SCN. In 2001, a method using detached oral mucosa was reported (Bjarnason et al., 2001). But when we tried to reproduce these results, most of the specimen-cells were dead and the purified RNA was highly fragmented. This method faces problems that await solution. Later, in 2003, a method using blood taken from a peripheral vein was reported (Boivin et al., 2003). In this case, blood collection every few hours is required, which is a significant hurdle to overcome with human subjects. Additionally, in the case of white blood cells, physical stimuli and time delays due to the processing of cell separation may affect levels of expression of clock genes. So, although modifications to these procedures may avoid these problems, we have not been able to obtain reproducible data from either of them. As a result, we decided to focus our efforts on another source of peripheral tissue.
Utilization of hair follicles
Living cells must be collected with minimal damage to human subjects. We assumed that a considerable number of cells would be attached to the roots of freshly plucked hair. We then attempted to determine clock-gene expression in cells attached to scalp hair by a real-time PCR method (Akashi et al., 2010, Figure 5).
Figure 5
Total RNA purified from scalp hair follicle cells exhibits clearly distinguishable absorbance peaks represented by 18S- and 28S-rRNA signals. Advantages of this method are that the quantity of RNA is comparatively high (100 ng of RNA was extracted from each hair follicle), and that the commonly used reverse transcriptional method is applicable (Akashi et al., 2010, Figure 5). Our determination, from this material, of the circadian variation of clock gene expression showed differences from the results obtained from mouse peripheral tissue. For Bmal1 and Npas2, only slight oscillations were detected in human hair follicle cells. This is not an epiphenomenon of the technique, as these results are consistent with previous findings—from DNA microarray analysis—that only Per3, Nr1d1 (Rev-erbα), and Nr1d2 (Rev-erbβ) genes could be identified as rhythmically expressed clock genes. Some subjects showed Per2 and Dbp gene oscillations at lower amplitudes, although these did not always display high cosine curve fitting. Per3, Nr1d1, and Nr1d2 genes exhibited circadian fluctuations with good reproducibility in humans, despite the fact that in mice all of these genes are implicated in the regulation of physiological functions, rather than serving as components of the classical core negative feedback loop. The most interesting result is that with most specimens, Per3 and Nr1d2 were highly reproducible and manifested a high-fit cosine curve oscillation. While it is not clear why these three genes should fluctuate more widely than the core clock genes, they do meet the criteria for rhythm markers of the circadian clock.
Reflection of life style in clock gene expression in hair follicles
We examined circadian phase in head hair follicle cells from four subjects who maintain regular life-styles, but with differences in their sleeping patterns (from early to late-risers) (Akashi et al., 2010, Figure 6). Sampling was begun after 10 days of a fixed waking/meal/sleep schedule based on the established life-style of each individual. We expected to see a phase correlation between the life style and the clock gene expression. As expected, circadian fluctuations of Per3, Nr1d1, and Nr1d2 were detected in all subjects and the peak time of expression of those genes also correlated with average waking-times. Next, we compared the clock gene expression phase of liver and kidney cells in mice with that of hair follicle cells in human beings. Interestingly, in both species, Per3 expression peaked just around waking time (note that the onset of activity occurs in mice immediately after lights-off). This suggests that the phase correlation between behavioral rhythms and circadian clock gene expression is conserved and is independent of whether the animals are diurnal or nocturnal.
Figure 6
Next, we examined the phase shift of clock gene expression rhythms in healthy subjects caused by a gradual phase advance of the waking/meal-time/sleeping schedule, by 4 h over a 3 week period (−1 h/5 d) (Akashi et al., 2010, Figure 6). To bolster the effects of the phase advance, the subjects were exposed to ~10,000-lux light for 30 min just after waking. Under these conditions, the average phase advances of clock gene expression rhythms in hair follicle cells ranged from 2.1 to 2.8 h, indicating that a 3-week adaptation period is not sufficient to advance the phase of the molecular clock by 4 h. Phase adjustment to get rid of jet lag is generally believed to proceed at a rate of about 1 h a day, but here we find that the body's accommodation of a 4-h advance is still incomplete after 3 weeks. Though we can't deny possible imperfections in the experimental conditions, for example social stimulus providing time-cues calibrated to the earlier life-style schedule, some factor related to the suddenness of jet-lag etiology might also account for the difference. This unexpectedly slow adjustment is also found in rotating shift workers, to whom we shall now turn.
Circadian clock gene expression in rotating shift workers
Rotating shift work is symbolic of round-the-clock social/economic conditions in modern Japan, and its incidence is increasing all over the world. Representative types include factory-workers, nurses, security guards, and police officers. For our study of circadian regulation in rotating shift workers we chose subjects employed in an automotive parts factory and investigated the circadian properties of clock-gene expression in their head hair follicle cells, as described in the previous two sections. We analyzed hair follicle cells from 6 subjects in their 20's and 30's (Akashi et al., 2010, Figure 7). All the subjects work 5 successive days a week, alternating between early shifts (0600—1500 h) and late shifts (1500—0000 h) on a weekly basis. This amounts to an, on average, 7 h life-style shift every week, a fairly moderate variation by rotating shift work standards. Scalp hair samples were collected every 3 h on weekends to ascertain the rhythms of clock gene expression, over the course of a 3-week shift rotation, with the 1st week an early shift, the 2nd week a late shift, and the 3rd week an early shift again. An adaptation term of 5 days (from Monday to Friday) was set. The result belied expectations of a drastic phase shift in clock gene expression rhythms for the first rotation. The phase of circadian gene expression was delayed or advanced only by about 2 h, whereas the life style was phase-delayed or advanced by about 7 h (Akashi et al., 2010, Figure 8). A 1-week adaptation was thus not sufficient for completing entrainment in this group of subjects. As mentioned above, it is known that waking-time and meal-times are the most effective entrainers in mice, but it would seem that time adjustment in man takes a great deal more time under similar base conditions. These subjects are living, as it were, in a state of permanent jet lag. It is, from this perspective, hardly surprising that rotating shift workers experience many health problems.
Figure 7
Figure 8
It is probably impossible to abolish rotating shift work under current social/economic conditions. Given the increasing prevalence of rotating shift work, the careful coordination of work-schedules taking into consideration lags in the entrainment of workers' circadian clock is necessary from health and incentive perspectives, and may well increase productivity. Concerted institutional support of phase adjustment via manipulation of light-exposure and mealtime schedules may reduce the risk of a number of diseases. Our method can contribute to the optimization of working schedules and provide objective data for productivity gains in services and industries that make heavy use of rotating shifts.
Future improvements
This paper has outlined what we believe to be a convenient and useful method for assessing circadian clock activity, but we are conscious that there is room for improvement, especially in the area of sample-frequency. Mathematical modeling involving the calculation of the cosine curve with data from 3 different time points of the expression levels of Per3, Nr1d1, and Nr1d2, suggests one way forward. From this data, compared between specimens, we were able to predict the time phase within a ± 1.5 h time-range.
Previous findings for healthy individuals suggest that the amplitude and level of clock gene expression rhythm remains within a certain range for all individuals. A cosine curve of the average amplitude and level of expression for healthy individuals was therefore defined as the standard curve, and the rhythm of expression in all healthy individuals was assumed to follow it. In three-point phase prediction, phases were determined by the least-squares method to fit the standard curve as closely as possible and the errors were within 1.5 h in most cases. It is likely that we could reduce the parameters by using a standard curve fitted to phase prediction
Note that high quality-RNA can be obtained from both head or chin hair follicles, and more easily reproducible results can be obtained from the collection of smaller numbers of chin hairs than of head hairs. In the current state of the method, in the case of men, 10 head hairs or 5 chin hairs required for one time point. For women, this same number of hairs is usually sufficient, although more are required in some cases. Considering our recent analysis from single head hair (data not shown) formed clear rhythm, 1 head hair may be sufficient for the phase assessment, though levels of clock genes expression in hair follicles are reported to differ from different hair follicle stage in mice (Lin et al., 2009). However, all specimens must be carefully evaluated, as some people have fewer cells attached to their hair-strands than do others. Also, yield may be increased by improving sampling methods, the protocol for RNA extraction, selection of the reverse-transcription enzyme, and finally, re-consideration of the optimal primer and probe for RT-PCR.
Conclusions
Circadian clock assessment utilizing hair follicles is applicable to a number of current research projects (Watanabe et al., 2012), especially—as we have shown in this paper—studies of the effect of the working environment on fundamental biorhythms. Applications seem feasible in the fields of chronopharmacology and chronotherapy. Notwithstanding the wide range of modern life-styles, this method promises to provide objective information on phase shifts and lags in subjects requiring medication such as under out-of-lab conditions for a fighter (Okamoto et al., 2013) and equine animals (Watts et al., 2012).
Melatonin has been the main marker for the evaluation of internal circadian time up to now (Arendt, 2005; Benloucif et al., 2008). Though this is a distinct marker for the functioning of the central clock, the hair follicle cell method is a powerful tool for the detection of activity in the peripheral clock itself (that is, organism-wide clock gene expression rhythm). Melatonin synthesis is decreased by light (Lewy et al., 1980), and melatonin secretion levels are different between individuals (Arendt, 1998); assessing the peripheral clock doesn't face problems like this. This is a considerable advantage in experimental studies under out-of-laboratory conditions. Moreover, because there are multiple clock genes it will be possible to reduce sampling time by careful mathematical modeling. In combination with the data provided by melatonin detection studies a much wider understanding of the phenomena in question will be obtained.
The ultimate goal is to put this method to practical use in improving human health, specifically the effective treatment and/or prevention of sleep disorders and psychiatric illness stemming from biorhythmic disorder.
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.
Statements
Conflict of interest
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.
References
1
AkashiM.SomaH.YamamotoT.TsugitomiA.YamashitaS.NishidaE.et al. (2010). Noninvasive method for assessing the human circadian clock using hair follicle cells. Proc. Natl. Acad. Sci. U.S.A. 107, 15643–15648. 10.1073/pnas.1003878107
2
AneaC. B.ZhangM.SteppD. W.SimkinsG. B.ReedG.FultonD. J.et al. (2009). Vascular disease in mice with a dysfunctional circadian clock. Circulation119, 1510–1517. 10.1161/CIRCULATIONAHA.108.827477
3
ArendtJ. (1998). Melatonin and the pineal gland: influence on mammalian seasonal and circadian physiology. Rev. Reprod. 3, 13–22. 10.1530/ror.0.0030013
4
ArendtJ. (2005). Melatonin: characteristics, concerns, and prospects. J. Biol. Rhythms20, 291–303. 10.1177/0748730405277492
5
AschoffJ. (1965). Circadian rhythms in man. Science148, 1427–1432. 10.1126/science.148.3676.1427
6
BassJ. (2012). Circadian topology of metabolism. Nature491, 348–356. 10.1038/nature11704
7
BenloucifS.BurgessH. J.KlermanE. B.LewyA. J.MiddletonB.MurphyP. J.et al. (2008). Measuring melatonin in humans. J. Clin. Sleep Med. 4, 66–69.
8
BjarnasonG. A.JordanR. C.WoodP. A.LiQ.LincolnD. W.SothernR. B.et al. (2001). Circadian expression of clock genes in human oral mucosa and skin: association with specific cell-cycle phases. Am. J. Pathol. 158, 1793–1801. 10.1016/S0002-9440(10)64135-1
9
BoivinD. B.JamesF. O.WuA.Cho-ParkP. F.XiongH.SunZ. S. (2003). Circadian clock genes oscillate in human peripheral blood mononuclear cells. Blood102, 4143–4145. 10.1182/blood-2003-03-0779
10
BonnyO.VinciguerraM.GumzM. L.MazzoccoliG. (2013). Molecular bases of circadian rhythmicity in renal physiology and pathology. Nephrol. Dial. Transplant. 28, 2421–2431. 10.1093/ndt/gft319
11
BrownS. A.Fleury-OlelaF.NagoshiE.HauserC.JugeC.MeierC. A.et al. (2005). The period length of fibroblast circadian gene expression varies widely among human individuals. PLoS Biol. 3:e338. 10.1371/journal.pbio.0030338
12
BrownS. A.KunzD.DumasA.WestermarkP. O.VanselowK.Tilmann-WahnschaffeA.et al. (2008). Molecular insights into human daily behavior. Proc. Natl. Acad. Sci. U.S.A. 105, 1602–1607. 10.1073/pnas.0707772105
13
CurtisA. M.ChengY.KapoorS.ReillyD.PriceT. S.FitzgeraldG. A. (2007). Circadian variation of blood pressure and the vascular response to asynchronous stress. Proc. Natl. Acad. Sci. U.S.A. 104, 3450–3455. 10.1073/pnas.0611680104
14
DoiM.TakahashiY.KomatsuR.YamazakiF.YamadaH.HaraguchiS.et al. (2010). Salt-sensitive hypertension in circadian clock-deficient Cry-null mice involves dysregulated adrenal Hsd3b6. Nat. Med. 16, 67–74. 10.1038/nm.2061
15
FearnleyG. R.BalmforthG.FearnleyE. (1957). Evidence of a diurnal fibrinolytic rhythm; with a simple method of measuring natural fibrinolysis. Clin. Sci. (Lond.)16, 645–650.
16
GarauletM.OrdovásJ. M.Gómez-AbellánP.MartínezJ. A.MadridJ. A. (2011). An approximation to the temporal order in endogenous circadian rhythms of genes implicated in human adipose tissue metabolism. J. Cell. Physiol. 226, 2075–2080. 10.1002/jcp.22531
17
Gómez-AbellánP.Hernández-MoranteJ. J.LujánJ. A.MadridJ. A.GarauletM. (2008). Clock genes are implicated in the human metabolic syndrome. Int. J. Obes. (Lond.)32, 121–128. 10.1038/sj.ijo.0803689
18
Gómez-AbellánP.MadridJ. A.LujánJ. A.FrutosM. D.GonzálezR.Martínez-AugustínO.et al. (2012a). Sexual dimorphism in clock genes expression in human adipose tissue. Obes. Surg. 22, 105–112. 10.1007/s11695-011-0539-2
19
Gómez-AbellánP.Díez-NogueraA.MadridJ. A.LujánJ. A.OrdovásJ. M.GarauletM. (2012b). Glucocorticoids affect 24 h clock genes expression in human adipose tissue explant cultures. PLoS ONE7:e50435. 10.1371/journal.pone.0050435
20
Gómez-SantosC.Gómez-AbellánP.MadridJ. A.Hernández-MoranteJ. J.LujanJ. A.OrdovasJ. M.et al. (2009). Circadian rhythm of clock genes in human adipose explants. Obesity (Silver Spring)17, 1481–1485. 10.1038/oby.2009.164
21
HastingsM. H.MaywoodE. S.O'NeillJ. S. (2008). Cellular circadian pacemaking and the role of cytosolic rhythms. Curr. Biol. 18, R805–R815. 10.1016/j.cub.2008.07.021
22
HausE. (2007). Chronobiology in the endocrine system. Adv. Drug Deliv. Rev. 59, 985–1014. 10.1016/j.addr.2007.01.001
23
Hernandez-MoranteJ. J.Gomez-SantosC.MargaretoJ.FormigueraX.MartínezC. M.GonzálezR.et al. (2012). Influence of menopause on adipose tissue clock gene genotype and its relationship with metabolic syndrome in morbidly obese women. Age (Dordr.)34, 1369–1380. 10.1007/s11357-011-9309-2
24
LewyA. J.MarkeyS. P. (1978). Analysis of melatonin in human plasma by gas chromatography negative chemical ionization mass spectrometry. Science201, 741–743. 10.1126/science.675255
25
LewyA. J.WehrT. A.GoodwinF. K.NewsomeD. A.MarkeyS. P. (1980). Light suppresses melatonin secretion in humans. Science210, 1267–1269. 10.1126/science.7434030
26
LinK. K.KumarV.GeyfmanM.ChudovaD.IhlerA. T.SmythP.et al. (2009). Circadian clock genes contribute to the regulation of hair follicle cycling. PLoS Genet. 5:e1000573. 10.1371/journal.pgen.1000573
27
LowreyP. L.TakahashiJ. S. (2011). Genetics of circadian rhythms in mammalian model organisms. Adv. Genet. 74, 175–230. 10.1016/B978-0-12-387690-4.00006-4
28
MaemuraK.de la MonteS. M.ChinM. T.LayneM. D.HsiehC. M.YetS. F.et al. (2000). CLIF, a novel cycle-like factor, regulates the circadian oscillation of plasminogen activator inhibitor-1 gene expression. J. Biol. Chem. 275, 36847–36851. 10.1074/jbc.C000629200
29
ManciaG.FerrariA.GregoriniL.ParatiG.PomidossiG.BertinieriG.et al. (1983). Blood pressure and heart rate variabilities in normotensive and hypertensive human beings. Circ. Res. 53, 96–104. 10.1161/01.RES.53.1.96
30
MarchevaB. K.RamseyM.BuhrE. D.KobayashiY.SuH.KoC. H.et al. (2010). Disruption of the clock components CLOCK and BMAL1 leads to hypoinsulinaemia and diabetes. Nature466, 627–631. 10.1038/nature09253
31
MarquesF. Z.CampainA. E.TomaszewskiM.Zukowska-SzczechowskaE.YangY. H.CharcharF. J.et al. (2011). Gene expression profiling reveals renin mRNA overexpression in human hypertensive kidneys and a role for microRNAs. Hypertension58, 1093–1098. 10.1161/HYPERTENSIONAHA.111.180729
32
MillsJ. N. (1964). Circadian rhythms during and after three months in solitude underground. J. Physiol. 174, 217–231.
33
MullerJ. E.StoneP. H.TuriZ. G.RutherfordJ. D.CzeislerC. A.ParkerC.et al. (1985). Circadian variation in the frequency of onset of acute myocardial infarction. N. Engl. J. Med. 313, 1315–1322. 10.1056/NEJM198511213132103
34
NagoshiE.SainiC.BauerC.LarocheT.NaefF.SchiblerU. (2004). Circadian gene expression in individual fibroblasts: cell-autonomous and self-sustained oscillators pass time to daughter cells. Cell119, 693–705. 10.1016/j.cell.2004.11.015
35
NikolaevaS.PradervandS.CentenoG.ZavadovaV.TokonamiN.MaillardM.et al. (2012). The circadian clock modulates renal sodium handling. J. Am. Soc. Nephrol. 23, 1019–1026. 10.1681/ASN.2011080842
36
OkamotoA.YamamotoT.MatsumuraR.NodeK.AkashiM. (2013). An out-of-lab trial: a case example for the effect of intensive exercise on rhythms of human clock gene expression. J. Circadian Rhythms11, 10. 10.1186/1740-3391-11-10
37
OkamuraH.DoiM.FustinJ. M.YamaguchiY.MatsuoM. (2010). Mammalian circadian clock system: molecular mechanisms for pharmaceutical and medical sciences. Adv. Drug Deliv. Rev. 62, 876–884. 10.1016/j.addr.2010.06.004
38
OttoM. E.SvatikovaA.BarrettoR. B.SantosS.HoffmannM.KhandheriaB.et al. (2004). Early morning attenuation of endothelial function in healthy humans. Circulation109, 2507–2510. 10.1161/01.CIR.0000128207.26863.C4
39
OtwayD. T.MänteleS.BretschneiderS.WrightJ.TrayhurnP.SkeneD. J.et al. (2011). Rhythmic diurnal gene expression in human adipose tissue from individuals who are lean, overweight, and type 2 diabetic. Diabetes60, 1577–1581. 10.2337/db10-1098
40
PaganiL.SchmittK.MeierF.IzakovicJ.RoemerK.ViolaA.et al. (2011). Serum factors in older individuals change cellular clock properties. Proc. Natl. Acad. Sci. U.S.A. 108, 7218–7223. 10.1073/pnas.1008882108
41
PaganiL.SemenovaE. A.MoriggiE.RevellV. L.HackL. M.LockleyS. W.et al. (2010). The physiological period length of the human circadian clock in vivo is directly proportional to period in human fibroblasts. PLoS ONE5:e13376. 10.1371/journal.pone.0013376
42
PanzaJ. A.EpsteinS. E.QuyyumiA. A. (1991). Circadian variation in vascular tone and its relation to alpha-sympathetic vasoconstrictor activity. N. Engl. J. Med. 325, 986–990. 10.1056/NEJM199110033251402
43
PaschosG. K.FitzGeraldG. A. (2010). Circadian clocks and vascular function. Circ. Res. 106, 833–841. 10.1161/CIRCRESAHA.109.211706
44
ReillyD. F.WestgateE. J.FitzGeraldG. A. (2007). Peripheral circadian clocks in the vasculature. Arterioscler. Thromb. Vasc. Biol. 27, 1694–1705. 10.1161/ATVBAHA.107.144923
45
RichardsJ.GumzM. L. (2013). Mechanism of the circadian clock in physiology. Am. J. Physiol. Regul. Integr. Comp. Physiol. 304, R1053–R1064. 10.1152/ajpregu.00066.2013
46
RudicR. D.McNamaraP.ReillyD.GrosserT.CurtisA. M.PriceT. S.et al. (2005). Bioinformatic analysis of circadian gene oscillation in mouse aorta. Circulation112, 2716–2724. 10.1161/CIRCULATIONAHA.105.568626
47
ScheiermannC.KunisakiY.FrenetteP. S. (2013). Circadian control of the immune system. Nat. Rev. Immunol. 13, 190–198. 10.1038/nri3386
48
SchoenhardJ. A.SmithL. H.PainterC. A.ErenM.JohnsonC. H.VaughanD. 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
49
ShimbaS.IshiiN.OhtaY.OhnoT.WatabeY.HayashiM.et al. (2005). Brain and muscle Arnt-like protein-1 (BMAL1), a component of the molecular clock, regulates adipogenesis. Proc. Natl. Acad. Sci. U.S.A. 102, 12071–12076. 10.1073/pnas.0502383102
50
StowL. R.RichardsJ.ChengK. Y.LynchI. J.JeffersL. A.GreenleeM. M.et al. (2012). The circadian protein period 1 contributes to blood pressure control and coordinately regulates renal sodium transport genes. Hypertension59, 1151–1156. 10.1161/HYPERTENSIONAHA.112.190892
51
TakedaN.MaemuraK. (2011). Circadian clock and cardiovascular disease. J. Cardiol. 57, 249–256. 10.1016/j.jjcc.2011.02.006
52
TeiH.OkamuraH.ShigeyoshiY.FukuharaC.OzawaR.HiroseM.et al. (1997). Circadian oscillation of a mammalian homologue of the Drosophila period gene. Nature389, 512–516. 10.1038/39086
53
ToflerG. H.BrezinskiD.SchaferA. I.CzeislerC. A.RutherfordJ. D.WillichS. N.et al. (1987). Concurrent morning increase in platelet aggregability and the risk of myocardial infarction and sudden cardiac death. N. Engl. J. Med. 316, 1514–1518. 10.1056/NEJM198706113162405
54
TurekF. W.JoshuC.KohsakaA.LinE.IvanovaG.McDearmonE.et al. (2005). Obesity and metabolic syndrome in circadian Clock mutant mice. Science308, 1043–1045. 10.1126/science.1108750
55
ViswambharanH.CarvasJ. M.AnticV.MarecicA.JudC.ZauggC. E.et al. (2007). Mutation of the circadian clock gene Per2 alters vascular endothelial function. Circulation115, 2188–2195. 10.1161/CIRCULATIONAHA.106.653303
56
VukolicA.AnticV.Van VlietB. N.YangZ.AlbrechtU.MontaniJ. P. (2010). Role of mutation of the circadian clock gene Per2 in cardiovascular circadian rhythms. Am. J. Physiol. Regul. Integr. Comp. Physiol. 298, R627–R634. 10.1152/ajpregu.00404.2009
57
WangC. Y.WenM. S.WangH. W.HsiehI. C.LiY.LiuP. Y.et al. (2008). Increased vascular senescence and impaired endothelial progenitor cell function mediated by mutation of circadian gene Per2. Circulation118, 2166–2173. 10.1161/CIRCULATIONAHA.108.790469
58
WatanabeM.HidaA.KitamuraS.EnomotoM.OhsawaY.KatayoseY.et al. (2012). Rhythmic expression of circadian clock genes in human leukocytes and beard hair follicle cells. Biochem. Biophys. Res. Commun. 425, 902–907. 10.1016/j.bbrc.2012.08.008
59
WattsL. M.BrowneJ. A.MurphyB. A. (2012). Investigation of a non-invasive method of assessing the equine circadian clock using hair follicle cells. J. Circadian Rhythms10, 7. 10.1186/1740-3391-10-7
60
WeitzmanE. D.FukushimaD.NogeireC.RoffwargH.GallagherT. F.HellmanL. (1971). Twenty-four hour pattern of the episodic secretion of cortisol in normal subjects. J. Clin. Endocrinol. Metab. 33, 14–22. 10.1210/jcem-33-1-14
61
WestgateE. J.ChengY.ReillyD. F.PriceT. S.WalisserJ. A.BradfieldC. A.et al. (2008). Genetic components of the circadian clock regulate thrombogenesis in vivo. Circulation117, 2087–2095. 10.1161/CIRCULATIONAHA.107.739227
62
WilliamsG. H.CainJ. P.DluhyR. G.UnderwoodR. H. (1972). Studies of the control of plasma aldosterone concentration in normal man. I. Response to posture, acute and chronic volume depletion, and sodium loading. J. Clin. Invest. 51, 1731–1742. 10.1172/JCI106974
63
YamazakiS.NumanoR.AbeM.HidaA.TakahashiR.UedaM.et al. (2000). Resetting central and peripheral circadian oscillators in transgenic rats. Science288, 682–685. 10.1126/science.288.5466.682
64
ZhangE. E.LiuY.DentinR.PongsawakulP. Y.LiuA. C.HirotaT.et al. (2010). Cryptochrome mediates circadian regulation of cAMP signaling and hepatic gluconeogenesis. Nat. Med. 16, 1152–1156. 10.1038/nm.2214
65
ZuberA. M.CentenoG.PradervandS.NikolaevaS.MaquelinL.CardinauxL.et al. (2009). Molecular clock is involved in predictive circadian adjustment of renal function. Proc. Natl. Acad. Sci. U.S.A. 106, 16523–16528. 10.1073/pnas.0904890106
Summary
Keywords
circadian, clock gene, non-invasive method, cardiovascular diseases, hair follicle
Citation
Sato M, Matsuo T, Atmore H and Akashi M (2014) Possible contribution of chronobiology to cardiovascular health. Front. Physiol. 4:409. doi: 10.3389/fphys.2013.00409
Received
10 August 2013
Accepted
25 December 2013
Published
20 January 2014
Volume
4 - 2013
Edited by
Luciana A. Campos, University Camilo Castelo Branco, Brazil
Reviewed by
Michelle L. Gumz, University of Florida, USA; Luciana L. Guimaraes, Universidade Santa Cecilia, Brazil
Copyright
© 2014 Sato, Matsuo, Atmore and Akashi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Makoto Akashi, The Research Institute for Time Studies, Yamaguchi University, 1677-1 Yoshida, Yamaguchi 753-8511, Japan e-mail: akashima@yamaguchi-u.ac.jp
This article was submitted to Integrative Physiology, a section of the journal Frontiers in Physiology.
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