Association between restless legs syndrome and CLOCK and NPAS2 gene polymorphisms in schizophrenia

Previous studies have suggested that there is a genetic basis to restless legs syndrome (RLS) development. Occurrence of antipsychotic-induced RLS could also be due to differences in genetic susceptibility. We investigated whether CLOCK and NPAS2 gene polymorphisms are associated with RLS in schizophrenic patients on antipsychotics because RLS symptoms usually manifest during the evening and night. We assessed symptoms of RLS in 190 Korean schizophrenic patients on antipsychotics and divided the subjects into two groups according to the International Restless Legs Syndrome Study Group diagnostic criteria: (i) subjects who met all the criteria and (ii) the remaining subjects who did not meet all the criteria. We found a significant difference in the number of subjects with different genotype and allele carrier frequencies for the CLOCK gene (rs2412646) between the two groups (p?=?0.031 and 0.010, respectively). Distribution of CLOCK haplotypes (rs2412646–rs1801260) was significantly different between schizophrenic patients with and without RLS (p?=?0.021). However, the distributions of allelic, genotypic, and haplotypic variants of NPAS2 (rs2305160 and rs6725296) were not significantly different between the two groups. Our results suggest that CLOCK polymorphisms are associated with increased susceptibility of schizophrenic patients to RLS. We hypothesize that RLS in schizophrenia patients treated with antipsychotics may be a very mild akathisia that manifests during the night and is under control of circadian oscillation.     

Evidence of multiple circadian oscillators in bean plants.

Circadian rhythms in stomatal opening and photosynthesis had shorter free-running periods than circadian rhythms in leaflet movement in bean plants (Phaseolus vulgaris L.) transferred from 12-hr photoperiods to constant conditions. The rhythm in leaflet movement had a period close to 27 hr, whereas the rhythm in stomatal opening, measured as conductance to water vapor, had a period close to 24 hr. Photosynthesis, measured as net assimilation of CO2, also oscillated with a period close to 24 hr. The periods of these rhythms did not vary with increasing temperature, demonstrating temperature compensation of the controlling oscillators. The difference in free-running periods displayed by these rhythms is evidence that multiple oscillators with different intrinsic frequencies operate in bean plants.     

Association of CLOCK,ARNTL, and NPAS2 gene polymorphisms and seasonal variations in mood and behavior

Seasonal affective disorder (SAD) is a condition of seasonal mood changes characterized by recurrent depression in autumn or winter that spontaneously remits in spring or summer. Evidence has suggested that circadian gene variants contribute to the pathogenesis of SAD. In this study, we investigated polymorphisms in the CLOCK, ARNTL, and NPAS2 genes in relation to seasonal variation in 507 healthy young adults. Seasonal variations were assessed with the Seasonality Pattern Assessment Questionnaire. The prevalence of SAD was 12.0% (winter-type 9.3%, summer-type 2.8%). No significant difference was found between the groups in the genotype distribution of ARNTL rs2278749 and NPAS2 rs2305160. The T allele of CLOCK rs1801260 was significantly more frequent in seasonals (SAD?+?subsyndromal SAD) compared with non-seasonals (p?=?0.020, odds ratio?=?1.89, 95% confidence interval?=?1.09–3.27). Global seasonality score was significantly different among genotypes of CLOCK rs1801260, but not among genotypes of ARNTL rs2278749 and NPAS2 rs2305160. However, statistical difference was observed in the body weight and appetite subscales among genotypes of ARNTL rs2278749 and in the body weight subscale among genotypes of NPAS2 rs2305160. There was synergistic interaction between CLOCK rs1801260 and ARNTL rs2278749 on seasonality. To our knowledge, this study is the first to reveal an association between the CLOCK gene and seasonal variations in mood and behavior in the Korean population. Although we cannot confirm previous findings of an association between SAD and the ARNTL and NPAS2 genes, these genes may influence seasonal variations through metabolic factors such as body weight and appetite. The interaction of the CLOCK and ARNTL genes contributes to susceptibility for SAD.     

Intercellular coupling mechanism for synchronized and noise-resistant circadian oscillators

The circadian clock in multicellular organisms consists of multiple autonomous single-cell oscillators. These individual oscillator cells produce coherent oscillations even in the presence of internal noise associated with rhythm-generating reaction rates and in the absence of external time cues such as light and temperature. Thus, an intercellular coupling mechanism must synchronize the cells to induce coherent circadian oscillations. We propose the roles of a synchronizing factor that is secreted from individual cells during subjective day to induce light-pulse-type phase shifts in the neighboring cells or, alternatively, a factor that is secreted during subjective night to induce dark-pulse-type phase shifts. Here, we present our multicellular stochastic model of Drosophila circadian rhythms that emulates the intercellular coupling mechanism and suggest that the mechanism facilitates the constancy of the circadian rhythm with possible functional redundancy among different synchronizing factors.     

Development and validation of computational models for mammalian circadian oscillators

Circadian rhythms are endogenous rhythms with a cycle length of approximately 24 h. Rhythmic production of specific proteins within pacemaker structures is the basis for these physiological and behavioral rhythms. Prior work on mathematical modeling of molecular circadian oscillators has focused on the fruit fly, Drosophila melanogaster. Recently, great advances have been made in our understanding of the molecular basis of circadian rhythms in mammals. Mathematical models of the mammalian circadian oscillator are needed to piece together diverse data, predict experimental results, and help us understand the clock as a whole. Our objectives are to develop mathematical models of the mammalian circadian oscillator, generate and test predictions from these models, gather information on the parameters needed for model development, integrate the molecular model with an existing model of the influence of light and rhythmicity on human performance, and make models available in BioSpice so that they can be easily used by the general community. Two new mammalian models have been developed, and experimental data are summarized. These studies have the potential to lead to new strategies for resetting the circadian clock. Manipulations of the circadian clock can be used to optimize performance by promoting alertness and physiological synchronization.     

Coupling-induced synchronization in multicellular circadian oscillators of mammals

In mammals, circadian rhythms are controlled by the neurons located in the suprachiasmatic nucleus (SCN) of the hypothalamus. Each neuron in the SCN contains an autonomous molecular clock. The fundamental question is how the individual cellular oscillators, expressing a wide range of periods, interact and assemble to achieve phase synchronization. Most of the studies carried out so far emphasize the crucial role of the periodicity imposed by the light-dark cycle in neuronal synchronization. However, in natural conditions, the interaction between the SCN neurons is non-negligible and coupling between cells in the SCN is achieved partly by neurotransmitters. In this paper, we use a model of nonidentical, globally coupled cellular clocks considered as Goodwin oscillators. We mainly study the synchronization induced by coupling from an analytical way. Our results show that the role of the coupling is to enhance the synchronization to the external forcing. The conclusion of this paper can help us better understand the mechanism of circadian rhythm.