The hypothalamic clock and its control of glucose homeostasis
Introduction
The awareness that the hypothalamus plays an important role in food intake, and especially its involvement in the physiology and pathology of the control of energy metabolism, dates back to 1840, when Mohr described a case of hypothalamic obesity associated with a rapid gain of body weight in a patient with a pituitary tumor (reviewed in Brobeck, 1946). It was not until 100 years later, however, that the animal experiments of Hetherington and Ranson (1940) showed that obesity resulted from lesions in the hypothalamus, independent of pituitary damage. Our understanding of the hypothalamic control of energy metabolism received a second boost some 50 years later, when the group of Friedman (Zhang et al., 1994) discovered the leptin gene, i.e. the elusive hormonal factor secreted by adipose tissue that informs the brain, and especially the hypothalamus, about peripheral fat stores. Major components of energy metabolism, including feeding, thermogenesis, and glucose and lipid metabolism, show profound fluctuations along the daily light/dark (L/D)-cycle. This periodic succession of night and day has influenced life on Earth for millions of years. In mammals, these periodic changes in the environment have been “internalized” in the form of an endogenous circadian clock. Its main function is to organize the time course of physiological, hormonal, and behavioral processes in order to allow the organism to anticipate properly these changing environmental conditions. The 24-h sleep/wake cycles are generated and orchestrated from within the hypothalamus as well. The location of the responsible biological or circadian (literally “approximately one day”) clock within the hypothalamic suprachiasmatic nuclei (SCN) was discovered in the early 1970s (Hendrickson et al., 1972; Moore and Eichler, 1972; Moore and Lenn, 1972; Stephan and Zucker, 1972). This master oscillator consists of interlocking transcriptional–translational feedback loops, and it contains both core clock genes necessary for oscillator maintenance, as well as specific output genes that impose their rhythmicity on the hypothalamus (Reppert and Weaver, 2002; Maywood et al., 2006). In the case of energy metabolism, the biological clock output acts to synchronize energy intake and expenditure to changes in the external environment imposed by the rising and setting of the sun (Ruiter et al., 2006a, Ruiter et al., 2006b).
It is thought that a circadian control of its physiology and behavior imparts survival advantages to an organism. Circadian rhythms serve to temporally partition the ecological niche and enable an organism to anticipate and adapt optimally to ambient conditions, thus maximizing the potential of the organism to survive. However, animals without a functional clockwork, either through SCN-lesions or a clock gene knock-out, do not have an obvious phenotype aside from anecdotal evidence on poor breeding (Dolatshad et al., 2006). One study in a simulated field condition suggested that arrhythmic animals are more susceptible to predation (DeCoursey et al., 1997, DeCoursey et al., 2000; DeCoursey and Krulas, 1998), and in cyanobacteria a circadian pacemaker confers a significant competitive advantage when the period of the endogenous clock resonates with the environmental L/D-cycle (Ouyang et al., 1998). However, an important aspect of circadian control may also be to time and synchronize (metabolic) processes within the organism, i.e. to optimize metabolic networks by enabling a temporal partitioning of metabolic events within and between different tissues. For example, by temporally separating chemically antagonistic reactions and by limiting the expression of certain enzymes to the time of day they are needed (Schibler and Naef, 2005).
Clearly, the most obvious target of circadian control is the behavioral sleep/wake-cycle. Question is whether a physiological process such as the rhythm in energy metabolism is gated by the behavioral rhythm or subject to an independent control of the circadian oscillator. Indeed, since in many species the temporal distribution of feeding activity is so clearly affected by the biological clock, it has been assumed that the daily rhythms in circulating concentrations of metabolic hormones and substrates, such as insulin, glucagon, leptin, glucose, and free fatty acids (FFA), are mainly induced by the behavioral rhythm, instead of being subject to a direct control of the biological clock. However, in view of the hypothesis that the SCN plays an important role in anticipating major physiological events, such as increased behavioral activity, feeding activity or sleep, we assumed a direct control of the SCN. We employed two different research strategies to reveal such a direct control of the SCN: (1) a regular feeding schedule with six meals equispaced throughout the 24-h L/D-cycle (i.e. one standard meal every 4 h) to remove the strong masking impact of the rhythmic feeding behavior and to unmask a possible direct control of the circadian clock; (2) the viral retrograde tracing technique to investigate the existence of multi-synaptic neural connections between the hypothalamic biological clock and peripheral organs such as the (endocrine) pancreas, the liver, and white adipose tissue (WAT).
The present review will present the evidence for a direct control of the biological clock on the release of metabolic hormones, independent of the clock control on the temporal distribution of feeding behavior. In addition, we will present an overview of the neural mechanisms, pathways, and transmitters used by the SCN to incorporate its time-of-day message into this homeostatic system.
Section snippets
Daily rhythms in glucose tolerance and insulin sensitivity
In order to understand how the hypothalamic biological clock conveys its circadian message into the homeostatic system(s) that control the energy balance, we focused our attention on the daily control of glucose metabolism. A pronounced daily rhythm in plasma glucose concentrations has been described in experimental animals as well as humans (Jolin and Montes, 1973; Bellinger et al., 1975; Bolli et al., 1984; Van Cauter et al., 1997; La Fleur et al., 1999; Shea et al., 2005). The peak time of
Circadian control of the autonomic nervous system
As evidenced once again by the data presented above the SCN, thus appears to be responsible for organizing endogenous daily programs throughout the body. More specifically, the data on the circadian control of the daily rhythm in plasma glucose concentrations demonstrate the important role of the autonomic nervous system as an intermediate of SCN output. The most important element in the control of the biological clock on the activity of the autonomic nervous system is the direct projection of
Clinical implications
Fasting hyperglycemia is the hallmark of diabetes mellitus. Longitudinal epidemiological studies have shown that the risk of cardiovascular disease (CVD) mortality in diabetic subjects is more than twice that of subjects without diabetes. Moreover, in diabetic patients, the risk of cardiovascular and all cause mortality increases with increasing fasting plasma glucose and HbA1c values. The associations between glycemic variables and mortality are less evident in non-diabetic subjects, but a
Abbreviations
- 2DG
2-deoxy-glucose
- Ace
amygdala, central part
- ARC
arcuate nucleus
- Ba
Barrington nucleus
- BIC
bicucilline
- Bmal
brain and muscle aryl hydrocarbon receptor nuclear transporter-like protein
- BNST
bed nucleus of the stria terminalis
- CNS
central nervous system
- Cry
cryptochrome
- CVD
cardiovascular disease
- Dbp
albumin D-site-binding protein
- DMH
dorsomedial nucleus of the hypothalamus
- DMV
dorsal motor nucleus of the vagus
- FFA
free fatty acid
- GABA
γ-aminobutyric acid
- HSL
hormone-sensitive lipase
- IL-6
interleukin-6
- IML
intermediolateral
Acknowledgments
The authors thank Dr. Mariette T. Ackermans at the Academic Medical Center in Amsterdam for help with the FFA measurements, Henk Stoffels for preparation of the images and Wilma Verweij for correction of the manuscript. Special thanks are dedicated to Jan van der Vliet and Caroline Pirovano — Van Heijningen for their superb technical assistance in most of the work just described. Parts of the work presented were financially supported by the Dutch Diabetes Research Foundation.
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2013, Ageing Research ReviewsCitation Excerpt :Indeed, the SCN projects to the pre-autonomic paraventricular nucleus (PVN) neurons to control hepatic glucose production (Kalsbeek et al., 2006). Similarly, glucose uptake and the concentration of the primary cellular metabolic currency adenosine triphosphate (ATP) in the brain and peripheral tissues have been found to fluctuate around the circadian cycle (Kalsbeek et al., 2006; La Fleur, 2003; Yamazaki et al., 1994). Many hormones involved in metabolism, such as insulin (La Fleur et al., 1999), glucagon (Ruiter et al., 2003), adiponectin (Ando et al., 2005), corticosterone (De Boer and Van der Gugten, 1987; Downs et al., 2008), leptin, and ghrelin (Ahima et al., 1998; Bodosi et al., 2004), exhibit circadian oscillation.
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2013, Fundamental Neuroscience: Fourth EditionMelatonin: Both master clock output and internal time-giver in the circadian clocks network
2011, Journal of Physiology ParisCitation Excerpt :The first group of target neurons consists of the endocrine neurons, such as those containing corticotropin-releasing hormone (CRH), thyrotropin-releasing hormone (TRH) and gonadotropin-releasing hormone (GnRH) (Kalsbeek and Buijs, 2002). A second group of target neurons is the autonomic neurons, i.e. the origin of long descending hypothalamic projections to pre-ganglionic parasympathetic and sympathetic neurons in the brainstem and the spinal cord, respectively (Bartness et al., 2001; Perreau-Lenz et al., 2004; Kalsbeek et al., 2006a,b). The third category of neurons reached by the SCN efferents consists of the intermediate neurons in the MPOA, PVN and DMH which project to endocrine neurons.