464877 Modeling Convergence of Circadian Clocks and Metabolism

Monday, November 14, 2016: 2:10 PM
Carmel I (Hotel Nikko San Francisco)
Seul-A Bae1 and Ioannis P. Androulakis1,2,3, (1)Department of Chemical and Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, (2)Department of Surgery, Rutgers - Robert Wood Johnson Medical School, New Brunswick, NJ, (3)Department of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ

The circadian rhythms orchestrate the mental and physical changes that follow a 24-hour cycle, primarily responding to light/dark schedule. In mammals, the central pace maker resides in the superchiasmatic nuclei (SCN) and takes in light as the entraining signal while synchronizing the clock genes in the periphery. Aside from light/dark cycle, food intake is a strong zeitgeber, a cue given by the environment on host to reset the internal body clock. Studies revealed meal timing may have clinical significance, as several groups using mouse models showed that time-restricted-feeding (TRF) during the resting period can suppress tumor growth [1] and reverse liver-specific metabolism abnormalities [2]. This impressive phenomenon is observed because low-level targets and mechanisms do not function in isolation, but rather as a part of broader network of defense mechanisms. Therefore, it is imperative to understand the mechanism behind how TRF affects the host’s disease progression. In particular, recent studies revealed that nutrient availability has close ties to circadian rhythms, exhibiting bi-directional influence and complex signaling cascades [3-5]. Among the many ways that light/dark cycle and feeding schedule impact each other, nutrient sensors such as AMPK, SIRT1, and PARP1 are gaining attention as they exhibit circadian behavior while also playing key roles in gluconeogenesis[6, 7] and metabolic activities.

Recent studies suggest that SIRT1 is a key candidate for bridging the circadian clocks and metabolism. SIRT1 (human sirtuin 1) is a class III histone deacetylase (HDAC), a homolog of Sir2 (silence information regulator 2) in yeast [4]. Its activity takes place in the nucleus, modulating lipid metabolism and enhancing mitochondrial activity [8], in addition to modulating a variety of biological activities such as oncogenesis and aging [9]. SIRT1 has a clear role in metabolism as its enzymatic activity requires binding of NAD+ into its catalytic site along with the substrate, effectively acting as a sensor for the energy state of the cell. Modeling the activity of SIRT1 would require an accurate portrayal of the NAD+ level in the cell, since it directly activates SIRT1. In addition to synthesizing NAD+ from amino acids, cells can also recover NAD+ from the NAD+ salvage pathway [10], where nicotinamide (NAM) is released from NAD+, NAM is converted to nicotinamide mononucleotide (NMN), and NMN is converted back to NAD+.

SIRT1 activity has complex relationships with the NAD+ salvage pathway and the peripheral clocks. First, SIRT1 activity requires binding of NAD+, thus NAD+ has an activating effect on SIRT1. Second, SIRT1 activity is inhibited by NAM, the precursor of the rate-limiting step. Third, expression of nicotinamide mononucleotide adenylyltransferase (NAMPT), the rate-limiting enzyme of the NAD+ salvage cycle, is under the control of SIRT1, which is a co-transcription factor for the Nampt gene along with peripheral clock genes. In summary, SIRT1 functions as a nutrient sensor, being under the influence of the energy state of the cells, represented by NAD+. It is also under the effect of the circadian rhythmicity presented by NAD+, NAM, and NAMPT.

From the above observations, we propose a mathematical model that describes the interactions among SIRT1, NAD+ salvage cycle, and peripheral clock genes, to study the effects of light and feeding schedules on circadian dynamics and metabolism. Our model builds upon earlier works [11] of a semi-mechanical model for light entrainment on the peripheral clock genes through the HPA axis. The oscillations in the HPA axis are generated due to the negative feedback between glucocorticoid and corticotropin-releasing hormone (CRH)/adrenocorticotropic hormone (ACTH) using a modified Goodwin oscillator, entrained by light. The oscillating glucocorticoid is secreted into the periphery, scheduling the peripheral clock genes (Per/Cry, Bmal1, and Clock). The new model captures important interactions between this existing light-entrained oscillator and new feeding entrainment. The Clock/Bmal1 complex binds to SIRT1 and activates transcription of NAMPT, which facilitates the NAD+ salvage cycle. NAD+, in turn, activates SIRT1, as well as entraining glucocorticoids through a transit compartment that represents neural input through the ventromedial arcuate nucleus [12]. SIRT1 also facilitates the degradation of PER/CRY proteins in the nucleus, exerting more influence on the peripheral clock genes.

Current model successfully predicts some observations from experimental time-restricted feeding studies. Some basic predictions include that restricting feeding during the active phase results in stronger oscillations of peripheral clock genes [13]. In contrast, restricting feeding to the rest phase results in declined oscillation amplitude for peripheral clock genes. The model also exhibits the “phase jump” behavior often observed in two-zeitgeber systems [14], ensuring that both light and feeding entrains the periphery in a significant manner. More interestingly, the model agrees with the recently proposed hypothesis that feeding is a strong zeitgeber for the peripheral clock genes, and light-controlled SCN interferes the entrainment to feeding schedule [15]. This proposal counters the traditional belief that the light/dark cycle most strongly entrains the peripheral clock genes. Our model can demonstrate that removing the light schedule can reduce the time required for the system to equilibrate to a changed feeding schedule, supporting the new hypothesis. Furthermore, the new model provides the foundation for mathematically modeling hepatic gluconeogenesis in future works, in an attempt to potentially elucidate the mechanism of light and feeding zeitgebers resetting the circadian and metabolic clocks.

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