Lateralization of circadian pacemaker output: Activation of left- and right-sided luteinizing hormone-releasing hormone neurons involves a neural rather than a humoral pathway

Locomotor activity and luteinizing hormone (LH) secretion in golden hamsters share a common circadian pacemaker in the suprachiasmatic nucleus (SCN), but the rhythms do not seem to share a common output pathway from the SCN. Locomotion is believed to be driven by humoral factor(s), whereas LH secretion may depend on specific ipsilateral neural efferents from the SCN to LH releasing hormone (LHRH)-containing neurons in the preoptic area. In this paper we provide the first functional evidence for such efferents in neurologically intact hamsters by exploiting a phenomenon known as splitting in constant light, in which circa-12 hr (approximately 12 hr) locomotor activity bouts reflect an antiphase oscillation of the left and right sides of the bilaterally paired SCN. In ovariectomized, estrogen-treated (OVX + E2) female hamsters, splitting is also known to include circa-12 hr LH secretory surges. Here we show that behaviorally split OVX + E2 females exhibit a marked left-right asymmetry in immunoreactive c-Fos expression in both SCN and activated LHRH neurons, with the percentage of LHRH+/c-Fos+ double-labeled cells approximately fivefold higher on the side corresponding to the side of the SCN with higher c-Fos immunoreactivity. Our results suggest that splitting involves alternating left- and right-sided stimulation of LHRH neurons; under such circumstances, the functional activity of the neuroendocrine hypothalamus mirrors intrinsic side-to-side differences in SCN gene expression. The circadian regulation of reproductive activity depends on lateralized, point-to-point axonal projections rather than on diffusible factors

Expression of the Vesicular GABA Transporter within Neuromedin S\u3csup\u3e+\u3c/sup\u3e Neurons Sustains Behavioral Circadian Rhythms

The suprachiasmatic nucleus (SCN) of the hypothalamus is the site of a central circadian clock that orchestrates overt rhythms of physiology and behavior. Circadian timekeeping requires intercellular communication among SCN neurons, and multiple signaling pathways contribute to SCN network coupling. Gamma-aminobutyric acid (GABA) is produced by virtually all SCN neurons, and previous work demonstrates that this transmitter regulates coupling in the adult SCN but is not essential for the nucleus to sustain overt circadian rhythms. Here, we show that the deletion of the gene that codes for the GABA vesicular transporter Vgat from neuromedin-S (NMS)+ neurons—a subset of neurons critical for SCN function—causes arrhythmia of locomotor activity and sleep. Further, NMS-Vgat deletion impairs intrinsic clock gene rhythms in SCN explants cultured ex vivo. Although vasoactive intestinal polypeptide (VIP) is critical for SCN function, Vgat deletion from VIP-expressing neurons did not lead to circadian arrhythmia in locomotor activity rhythms. Likewise, adult SCN-specific deletion of Vgat led to mild impairment of behavioral rhythms. Our results suggest that while the removal of GABA release from the adult SCN does not affect the pacemaker’s ability to sustain overt circadian rhythms, its removal from a critical subset of neurons within the SCN throughout development removes the nucleus ability to sustain circadian rhythms. Our findings support a model in which SCN GABA release is critical for the developmental establishment of intercellular network properties that define the SCN as a central pacemaker

cGMP-Phosphodiesterase Inhibition Enhances Photic Responses and Synchronization of the Biological Circadian Clock in Rodents

The master circadian clock in mammals is located in the hypothalamic suprachiasmatic nuclei (SCN) and is synchronized by several environmental stimuli, mainly the light-dark (LD) cycle. Light pulses in the late subjective night induce phase advances in locomotor circadian rhythms and the expression of clock genes (such as Per1-2). The mechanism responsible for light-induced phase advances involves the activation of guanylyl cyclase (GC), cGMP and its related protein kinase (PKG). Pharmacological manipulation of cGMP by phosphodiesterase (PDE) inhibition (e.g., sildenafil) increases low-intensity light-induced circadian responses, which could reflect the ability of the cGMP-dependent pathway to directly affect the photic sensitivity of the master circadian clock within the SCN. Indeed, sildenafil is also able to increase the phase-shifting effect of saturating (1200 lux) light pulses leading to phase advances of about 9 hours, as well as in C57 a mouse strain that shows reduced phase advances. In addition, sildenafil was effective in both male and female hamsters, as well as after oral administration. Other PDE inhibitors (such as vardenafil and tadalafil) also increased light-induced phase advances of locomotor activity rhythms and accelerated reentrainment after a phase advance in the LD cycle. Pharmacological inhibition of the main downstream target of cGMP, PKG, blocked light-induced expression of Per1. Our results indicate that the cGMP-dependent pathway can directly modulate the light-induced expression of clock-genes within the SCN and the magnitude of light-induced phase advances of overt rhythms, and provide promising tools to design treatments for human circadian disruptions

Guidelines for Genome-Scale Analysis of Biological Rhythms

Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding “big data” that are conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome-scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them

Guidelines for Genome-Scale Analysis of Biological Rhythms

Genome biology approaches have made enormous contributions to our understanding of biological rhythms, particularly in identifying outputs of the clock, including RNAs, proteins, and metabolites, whose abundance oscillates throughout the day. These methods hold significant promise for future discovery, particularly when combined with computational modeling. However, genome-scale experiments are costly and laborious, yielding ‘big data’ that is conceptually and statistically difficult to analyze. There is no obvious consensus regarding design or analysis. Here we discuss the relevant technical considerations to generate reproducible, statistically sound, and broadly useful genome scale data. Rather than suggest a set of rigid rules, we aim to codify principles by which investigators, reviewers, and readers of the primary literature can evaluate the suitability of different experimental designs for measuring different aspects of biological rhythms. We introduce CircaInSilico, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms. Finally, we discuss several unmet analytical needs, including applications to clinical medicine, and suggest productive avenues to address them

Interactions between the circadian and reproductive systems of the female Syrian hamster

In rodents, there exists a strong interaction between the reproductive and circadian systems. For this thesis the female hamster was used as a model for the study of this interaction. Studies described in chapter II investigated whether the circadian regulation of reproductive processes may be through direct input of the suprachiasmatic nucleus (SCN) to neurons containing estrogen receptor (ER) and/or to neurons containing luteinizing hormone releasing hormone (LHRH). The anterograde tracer Phaseolus vulgaris leucoagglutinin (PHA-L) was applied to the SCN and double label immunocytochemistry for PHA-L and either ER or LHRH was carried out. Both ER- and LHRH-immunoreactive cells show appositions with SCN efferents or with efferents of the subparaventricular nucleus and the retrochiasmatic area. Results suggest that the circadian system can regulate reproductive processes via input to LHRH- and/or ER-containing neurons. Studies described in chapter 111 investigated whether effects of estrogen on circadian rhythms may be exerted through estrogen-binding systems afferent to the SCN. Immunocytochemistry for ER and the retrograde tracer cholera toxin B subunit, after its application to the SCN, demonstrated that some areas contain relatively high percentages of SCN afferent neurons which show ER immunoreactivity. Retrograde tracing results were compared with results of anterograde tracing from some of the sites containing SCN afferents. Furthermore, using a combined retrograde and anterograde tracing technique, SCN input to some SCN afferent neurons was demonstrated. However, no evidence of reciprocity between single ER-immunoreactive cells and the SCN was found. Results indicate the existence of estrogen binding systems afferent to the SCN which might mediate the effects of gonadal steroid hormones on circadian rhythms. Studies in chapter IV analyze the effects of blockade of SCN axonal output by local unilateral application of tetrodotoxin (TTX) on the LH surge. Injections of TTX on either the morning or the afternoon of proestrus were unable to block the LH surge. Results favor the interpretation that the SCN output signal responsible of the circadian gating of the LH surge occurs before the onset of the light period on the day of proestrus

Loss of the SV2-like protein SVOP produces no apparent deficits in laboratory mice.

Neurons express two families of transporter-like proteins - Synaptic Vesicle protein 2 (SV2A, B, and C) and SV2-related proteins (SVOP and SVOPL). Both families share structural similarity with the Major Facilitator (MF) family of transporters. SV2 is present in all neurons and endocrine cells, consistent with it playing a key role in regulated exocytosis. Like SV2, SVOP is expressed in all brain regions, with highest levels in cerebellum, hindbrain and pineal gland. Furthermore, SVOP is expressed earlier in development than SV2 and is one of the neuronal proteins whose expression declines most during aging. Although SV2 is essential for survival, it is not required for development. Because significant levels of neurotransmission remain in the absence of SV2 it has been proposed that SVOP performs a function similar to that of SV2 that mitigates the phenotype of SV2 knockout mice. To test this, we generated SVOP knockout mice and SVOP/SV2A/SV2B triple knockout mice. Mice lacking SVOP are viable, fertile and phenotypically normal. Measures of neurotransmission and behaviors dependent on the cerebellum and pineal gland revealed no measurable phenotype. SVOP/SV2A/SV2B triple knockout mice did not display a phenotype more severe than mice harboring the SV2A/SV2B gene deletions. These findings support the interpretation that SVOP performs a unique, though subtle, function that is not necessary for survival under normal conditions

Antiphase oscillation of the left and right suprachiasmatic nuclei

An unusual property of the circadian timekeeping systems of animals is rhythm splitting, in which a single daily period of physical activity (usually measured as wheel running) dissociates into two stably coupled components about 12 hours apart; this behavior has been ascribed to a clock composed of two circadian oscillators cycling in antiphase. We analyzed gene expression in the hypothalamic circadian clock, the suprachiasmatic nucleus (SCN), of behaviorally split hamsters housed in constant light. The results show that the two oscillators underlying the split condition correspond to the left and right sides of the bilaterally paired SCN

Loss of SVOP does not affect spontaneous neurotransmitter release.

<p>Shown are graphs summarizing peak amplitude and frequency of mEPSC. Autaptic hippocampal neurons cultured from mice homozygous for Floxed SVOP genes or wild type littermate controls were infected with lenti virions encoding Cre-eGFP or eGFP. Neurons were analyzed in the whole-cell voltage-clamp configuration at DIV 14-20. Cells were selected for recording according to green fluorescence expression with preference given to brighter cells. Neurons were held at −60 mV, and mini EPSC were recorded in 5 min epochs. Graphs show the mean ± SEM. The number of cells analyzed is indicated within each column. Data are from three different cultures. <b>A)</b> Representative traces of mini EPSCs recorded from autaptic hippocampal neurons. <b>B)</b> Mean amplitudes of mEPSCs were unchanged across four experimental groups (SVOP^WT/WT - Cre, 24.78 ± 1.56 pA; SVOP^WT/WT + Cre, 24.74 ± 1.73 pA, SVOP^Flox/Flox -Cre 26.13 ± 1.10 pA and SVOP^Flox/Flox + Cre 26.28 ± 2.03 pA, <i>p</i> = 0.88, two-way ANOVA). <b>C)</b> Cumulative probability plots of mEPSC amplitude. The left panel shows the full amplitude range, the right panel is a plot of events with amplitudes < 80 pA. <b>D)</b> No differences in mEPSC frequency were observed across all experimental groups (SVOP^WT/WT - Cre, 3.76 ± 0.83 Hz; SVOP^WT/WT + Cre, 4.00 ± 0.77 Hz, SVOP^Flox/Flox -Cre 4.95 ± 1.06 Hz and SVOP^Flox/Flox + Cre 5.24 ± 1.58 Hz, <i>p</i> = 0.76, two-way ANOVA). <b>E)</b> Cumulative probability plots of mEPSC inter-event interval of 4 experimental groups. The left panel is a plot of the full inter-event interval range, the right panel of inter-event intervals <4000ms.</p