bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.05.19.654803

Dynamic mechanisms of time-of-day-dependent adaptive immunity and vaccination responses

Abstract

The timing of vaccine administration during the day significantly affects immunogenicity and efficacy, yet the mechanism governing the time-of-day dependent adaptive immunity and vaccine response remains elusive. Using mathematical modeling, we elucidate that the bistability arising from the self-enhancing homing process of antigen-presenting dendritic cells plays a key role in the time-of-day-dependent adaptive immune response. Modeling analyses of circadian-controlled immune responses to three vaccine types demonstrate that vaccine-specific differences in time-of-day-dependent immunity originate from distinctions in the circadian-regulated activation of antigen-presenting dendritic cells. This divergence is amplified by bistability in the dendritic cell homing process, resulting in long-term distinctions in adaptive immunity across vaccine types. The model results reveal a dynamic mechanism by which adaptive immune responses maintain circadian variations over extended time periods, suggesting that the timing of vaccine administration within the day is a promising strategy for effective disease prevention. Author SummaryInfection with the same pathogen in the morning or afternoon, or receiving the same vaccine at different times of the day, often leads to significantly different consequences in terms of infection severity or vaccine efficacy. This phenomenon is known as the time-of-day-dependent immune response. Although it is relatively common, the underlying dynamic mechanisms remain mostly unclear. In this paper, we employ mathematical modeling to investigate in detail the dynamics of adaptive immune responses following vaccination. We reveal that the kinetic origin of the time-of-day-dependent immune response lies in the positive feedback process during the homing of antigen-presenting cells, particularly dendritic cells. The bistability induced by self-activation, under the regulation of the circadian clock, plays a decisive role in generating this diurnal time dependency. The discovery of this mechanism suggests that time-of-day-specific vaccination is an effective strategy to optimize vaccine efficacy.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Weng, X., Ouyang, Q., Wang, H.. 2025-05-23. Dynamic mechanisms of time-of-day-dependent adaptive immunity and vaccination responses. https://doi.org/10.1101/2025.05.19.654803

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The impacts of exogenous noise on stochastic disease dynamics

Much of the literature and intuition associated with mathematical epidemiology is driven by deterministic models, which are a reasonable assumption when the population size is large. Stochastic models, especially individual based models, are however considered vital when dealing with small population sizes, especially at times of invasion or extinction. The overwhelming majority of these models (both deterministic and stochastic) assume that the underlying parameters are fixed (or follow a regular seasonal pattern). Here, we consider an analytic framework for dealing with randomly varying parameters through the use of stochastic differential equations - thereby capturing the action of external noisy processes such as weather. In particular, we focus on when the transmission rate, {beta}, varies as the solution to a Cox-Ingersoll-Ross Model, such that {beta} is gamma distributed with autocorrelation. We consider the impact of this parameter variation on a stochastic version of the Susceptible-Infected-Recovered model, and for this 'double-stochastic' model show through simulation and analytical results that exogenous noise increases the impact of stochasticity, potentially leading to more early extinctions, wider variations in the number of cases at equilibrium, but that early growth rate can be faster or slower depending on the precise parameters.

systems biology↗

Site-resolved spatial and structural interactome of a human cell

The spatial and structural arrangement of proteins determine virtually every process in human cells. We combined gentle subcellular fractionation by differential ultracentrifugation with cross-linking mass spectrometry to systematically map this cellular proteome architecture with residue-level evidence, identifying 164,146 residue-to-residue links in HEK293 cells. These links capture spatial protein arrangement at a resolution sufficient to pinpoint protein localizations at sub-organelle level, determine protein orientations within cellular membranes, and identify inter-organelle contact sites. The residue-level information provides evidence for 18,074 direct protein-protein interactions (PPIs), which we integrate into AlphaFold-based pipelines to nominate PPI-mediating short linear motifs and generate assembly models of large protein complexes. Guided by these spatial and structural readouts, we discover new PPIs within the endomembrane system that regulate the compartmental localization of trafficking machinery. Leveraging a network topology-driven strategy, we augment our HEK293 dataset with PPI data from different cell lines and methods, expanding the spatial and structural interactome of human cells.

systems biology↗

Sensory variation and behavioural degeneracy: a framework for interpreting heterogeneity in the gut-brain axis

Gut microbiome differences are frequently interpreted as reflecting underlying biological differences between individuals. When outcomes are mediated by behaviour, however, this mapping may be fundamentally non-unique. This limits causal inference in gut-brain research, where microbiome differences in autism and depression are routinely attributed to intrinsic neurobiology despite highly variable, overlapping findings. I built a minimal agent-based model grounded in the known sensory variation across the autism spectrum. Dietary behaviour emerges from latent sensory traits, including sensory drive, predictability preference, and context sensitivity, through reinforcement learning and environmental interaction. This behaviour shapes gut microbiome composition. Behavioural variation organizes endogenously into a continuum of specialist, opportunist, and explorer strategies that maps onto the autism sensory spectrum. The system is fundamentally degenerate. Similar microbiome states arise from distinct behavioural pathways. Similar dietary patterns emerge from divergent latent traits. This many-to-one mapping reflects the structural interaction of behaviour, learning, and environmental variability, not stochasticity alone. Microbiome similarity therefore does not uniquely identify underlying cause. As such, the model provides a theoretical framework for interpreting heterogeneity in gut microbiome research, particularly in autism, and generalizes to any condition where behaviour mediates between neural processes and ecological outcomes.

systems biology↗