Search bioRxiv⌕ Search

Biology subjects

Mori, F.

Publications and source records attributed to Mori, F..

2 recordsLinked to original sources

Additive framework of hormonal waves explains species and age differences in circadian intraocular pressure rhythm

Elevated intraocular pressure (IOP) is the primary risk factor for glaucoma, yet IOP demonstrates significant circadian rhythms, and their disruption heightens disease susceptibility. A paradox exists in that both diurnal and nocturnal animals experience nocturnal IOP elevation despite their contrasting behavioral chronotypes. Here, we developed a minimal mathematical framework where IOP rhythms arise from the linear superposition of two sinusoidal signals: adrenal glucocorticoids (GC) and norepinephrine (NE) from the superior cervical ganglion. In both diurnal and nocturnal species, NE levels increase at night, while GC levels peak oppositely in the morning and evening. A meta-analysis of published datasets showed that IOP peaks in the early night for nocturnal animals and in the late night for diurnal animals, aligning with the predicted maxima of the combined GC and NE sine waves. In aged mice and following superior cervical ganglionectomy, IOP rhythms shifted in phase and decreased in amplitude and mean level; these changes were accounted for by selectively reducing the NE components amplitude in the model. Conversely, in diurnal humans, aging results in a delayed IOP phase, which is replicated by diminishing NE amplitude. Thus, species differences, age-related changes, and the effects of sympathetic ablation on IOP can be coherently explained by the combination of the two zeitgeber signals with distinct phases. This straightforward yet robust framework offers a unifying concept for the circadian regulation of IOP across species and may inform the development of novel diagnostic algorithms and chronotherapeutic strategies for glaucoma. SignificanceGlaucoma is a leading cause of irreversible blindness, and its major risk factor, intraocular pressure (IOP), exhibits a circadian rhythm. A long-standing paradox is that IOP rises at night in both diurnal humans and nocturnal rodents, despite their opposite activity patterns. We showed that IOP rhythms can be explained by the superposition of two sine waves representing adrenal glucocorticoid and sympathetic norepinephrine rhythms. This framework parsimoniously accounts for species differences, aging effects, and the impact of sympathetic ganglionectomy on the IOP. By reducing a complex physiological process to the interaction of two entrainment signals with distinct phases, our model provides new mechanistic insights into circadian ocular physiology and highlights potential strategies for age-specific monitoring and therapeutic timing in glaucoma.

physiology↗

Sinusoidal regulation denoises circadian machinery

The rhythms transmitted from the circadian clock inevitably fluctuate because of molecular noise. The level of period fluctuations, observed not in the circadian clock, but in the output system that receives the transmitted rhythm, varies according to the organism and cell type, ranging from 0.5% to 10%. However, it remains unclear how the signal transduction involved in this transmission affects the fluctuations in the oscillation period of the output system. To address this, we investigated a coupled system consisting of a circadian clock and its output. We numerically and analytically demonstrated that the rhythmic regulation through which the clock controls downstream gene expression affects the level of fluctuations in the output system. Moreover, Gibbs sampling based on the analytically obtained fluctuation formula confirmed that the sine-wave-like regulatory functions effectively minimized the fluctuation of the output system. These theoretical insights provide new perspectives on signal transduction as a denoising mechanism embodied in the circadian system. Author summaryRecent single-cell observations have revealed that individual cells exhibit circadian rhythms with intrinsic variability. In particular, the period fluctuation, evaluated using the coefficient of variation (CV), was studied. In this study, we investigated how signal transduction from the central clock affects period fluctuations in the output system. We identified a key factor influencing these fluctuations: the waveform of the regulatory function by which the circadian clock governs the downstream output. We numerically demonstrated that the fluctuations vary widely depending on the regulatory function and that the sinusoidal function significantly reduced fluctuations in the output system. Furthermore, Gibbs sampling revealed that sine-like regulatory functions effectively minimized fluctuations. These findings suggest a preference for near-sinusoidal waveforms in the regulation of circadian rhythms.

systems biology↗