{"title":"Effects of anisotropic diffusion in heterogeneous time-periodic environments.","authors":"Hongqiang Yu, Linlin Bu, Jianhua Wu","doi":"10.1007/s00285-025-02237-6","DOIUrl":"https://doi.org/10.1007/s00285-025-02237-6","url":null,"abstract":"<p><p>We study a reaction-diffusion system involving two species competing in temporally periodic and spatially heterogeneous environments. In this system, the species move horizontally and vertically with different probabilities, which can be regarded as dispersal strategies. The selection mechanisms in this case are more intricate than those observed in random diffusion scenarios. We investigate the stability of the semi-trivial periodic solutions in terms of the sign of the principal eigenvalue associated with a linear periodic eigenvalue problem. Furthermore, we provide sufficient conditions for the coexistence of two species. Additionally, numerical simulations are performed to facilitate further research and exploration.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"23"},"PeriodicalIF":2.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144762145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chiara Villa, Philip K Maini, Alexander P Browning, Adrianne L Jenner, Sara Hamis, Tyler Cassidy
{"title":"Reducing phenotype-structured partial differential equations models of cancer evolution to systems of ordinary differential equations: a generalised moment dynamics approach.","authors":"Chiara Villa, Philip K Maini, Alexander P Browning, Adrianne L Jenner, Sara Hamis, Tyler Cassidy","doi":"10.1007/s00285-025-02246-5","DOIUrl":"10.1007/s00285-025-02246-5","url":null,"abstract":"<p><p>Intratumour phenotypic heterogeneity is understood to play a critical role in disease progression and treatment failure. Accordingly, there has been increasing interest in the development of mathematical models capable of capturing its role in cancer cell adaptation. This can be systematically achieved by means of models comprising phenotype-structured nonlocal partial differential equations, tracking the evolution of the phenotypic density distribution of the cell population, which may be compared to gene and protein expression distributions obtained experimentally. Nevertheless, given the high analytical and computational cost of solving these models, much is to be gained from reducing them to systems of ordinary differential equations for the moments of the distribution. We propose a generalised method of model-reduction, relying on the use of a moment generating function, Taylor series expansion and truncation closure, to reduce a nonlocal reaction-advection-diffusion equation, with general phenotypic drift and proliferation rate functions, to a system of moment equations up to arbitrary order. Our method extends previous results in the literature, which we address via three examples, by removing any a priori assumption on the shape of the distribution, and provides a flexible framework for mathematical modellers to account for the role of phenotypic heterogeneity in cancer adaptive dynamics, in a simpler mathematical framework.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"22"},"PeriodicalIF":2.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304065/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144735014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Re-examining the drivers of variation in parasite loads across hosts in the Tallis-Leyton model.","authors":"R McVinish","doi":"10.1007/s00285-025-02241-w","DOIUrl":"10.1007/s00285-025-02241-w","url":null,"abstract":"<p><p>The Tallis-Leyton model is a simple model of parasite acquisition where parasites accumulate in the host without affecting the host's mortality, or eliciting any immune reaction from the host. Furthermore, the parasites do not reproduce in the host. We examine how the variability in parasite loads among hosts is affected by the rate of infectious contacts, the distribution of parasite entering the host during infectious contacts, the host's age, and the distribution of parasite lifetimes. Motivated by empirical studies in parasitology, variability is examined in the sense of the Lorenz order and related metrics. Perhaps counterintuitively, increased variability in the distribution of parasite lifetimes is seen to decrease variability in the parasite loads among hosts.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"21"},"PeriodicalIF":2.3,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12296923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144719038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Positive and negative role of random perturbations in the dynamics of a tumor-immune system with treatment.","authors":"Irina Bashkirtseva, Lev Ryashko","doi":"10.1007/s00285-025-02251-8","DOIUrl":"10.1007/s00285-025-02251-8","url":null,"abstract":"<p><p>The paper aims to study the constructive role of noise in tumor dynamics. Mathematical investigation of this problem is carried out on the basis of a model of dynamic interaction between effector and tumor cells under conditions of chemotherapy. For the deterministic variant of the model, zones of mono-, bi-, and tristability are defined depending on the bifurcation parameter of treatment intensity. We find equilibrium and oscillatory attractors associated with active, dormant and zero tumor states. The paper studies how, depending on the chemotherapy intensity, random disturbances transform the active tumor mode into the dormant, or even zero state providing the main target of treatment. We also find conditions generating stochastic transitions of the tumor-immune system from the dormant tumor to the regime of active tumor. In the mathematical study of the positive and negative role of random noise, along with direct numerical simulation and statistical processing, we use the analytical confidence domain method.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"20"},"PeriodicalIF":2.3,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144719037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On final and peak sizes of an epidemic with latency and effect of behaviour change.","authors":"Tianyu Cheng, Xingfu Zou","doi":"10.1007/s00285-025-02249-2","DOIUrl":"10.1007/s00285-025-02249-2","url":null,"abstract":"<p><p>In this paper, we use the renewal equation approach to explore the impact of behaviour change and/or non-pharmaceutical interventions (NPIs) on the final size and peak size of an infectious disease without demography. To this end, we derive the renewal equations (REs) for the force of infection (both instantaneous and cumulative) that have reflected the NPIs and/or behaviour change by the notion of practically susceptible population. A novelty in these REs is that they contain time-varying kernels arising from the incorporation of effect of behaviour change. We then build the new REs into the Kermack-McKendrick model to obtain a general full model. Following Breda et al. (J Biol Dyn 6(sup2):103-117, 2012) and Diekmann et al. (Proc Natl Acad Sci USA 118(39):e2106332118, 2021), we analyze this new model to derive a general formula for the final size relation, by which we find that the final size relation depends not only on the basic reproduction number [Formula: see text] but also on other associated values that reflect the impact of behaviour change. Specifically, we demonstrate that behaviour change can reduce the infection peak and herd immunity threshold in some specific models.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"19"},"PeriodicalIF":2.3,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stochastic dynamics of two-compartment cell proliferation models with regulatory mechanisms for hematopoiesis.","authors":"Ren-Yi Wang, Marek Kimmel, Guodong Pang","doi":"10.1007/s00285-025-02250-9","DOIUrl":"https://doi.org/10.1007/s00285-025-02250-9","url":null,"abstract":"<p><p>We present an asymptotic analysis of a stochastic two-compartmental cell division system with regulatory mechanisms inspired by Getto et al. (Math Biosci 245: 258-268, 2013). The hematopoietic system is modeled as a two-compartment system, where the first compartment consists of dividing cells in the bone marrow, referred to as type 0 cells, and the second compartment consists of post-mitotic cells in the blood, referred to as type 1 cells. Division and self-renewal of type 0 cells are regulated by the population density of type 1 cells. By scaling up the initial population, we demonstrate that the scaled dynamics converges in distribution to the solution of a system of ordinary differential equations (ODEs). This system of ODEs exhibits a unique non-trivial equilibrium that is globally stable. Furthermore, we establish that the scaled fluctuations of the density dynamics converge in law to a linear diffusion process with time-dependent coefficients. When the initial data is Gaussian, the limit process is a Gauss-Markov process. We analyze its asymptotic properties to elucidate the joint structure of both compartments over large times. This is achieved by proving exponential convergence in the 2-Wasserstein metric for the associated Gaussian measures on an [Formula: see text] Hilbert space. Finally, we apply our results to compare the effects of regulating division and self-renewal of type 0 cells, providing insights into their respective roles in maintaining hematopoietic system stability.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"18"},"PeriodicalIF":2.2,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhi-Chao Xue, Jing Li, Cui-Hua Wang, Gui-Quan Sun, Li Li
{"title":"Multistability shifts in an aird vegetation system with nonlocal water absorption effect.","authors":"Zhi-Chao Xue, Jing Li, Cui-Hua Wang, Gui-Quan Sun, Li Li","doi":"10.1007/s00285-025-02248-3","DOIUrl":"https://doi.org/10.1007/s00285-025-02248-3","url":null,"abstract":"<p><p>In arid regions, the distribution of vegetation often exhibits rich and diverse patterning phenomena. Typically, the pattern structure is characterized by a single periodic state known as the Turing pattern. Recent research on the interaction between vegetation and water has overlooked the fact that vegetation can absorb water from the entire space, not just its immediate location. To address this, we develop a vegetation-water model incorporating a nonlocal water absorption effect, present the conditions for Turing bifurcation occurrence, and derive the amplitude equation along with the generation conditions for subcritical bifurcation through weakly nonlinear analysis. Our findings demonstrate that introducing a nonlocal water absorption strength can lead to the emergence of a supercritical Turing bifurcation when the water diffusion coefficient is small, as opposed to being limited to a subcritical type. Moreover, this nonlocal effect plays a critical role in the transition of the Turing bifurcation from supercritical to subcritical, resulting in the coexistence of multiple stability states in the snaking region. These multistability states correspond to pattern structures observed in Senegal, which differ from fairy circles (the typical Turing pattern) in Australia. Additionally, our results show that the vegetation system transitions from monostability at low precipitation to bistability at high precipitation, passing through intermediate states of bistability and tristability. The tristability state consists of bare soil (BS), uniform vegetation (UV), and periodic pattern (PP), while the bistable state comprises two stability states. In summary, these findings offer new perspectives on studying the impacts of the nonlocal water absorption effect on multistability shifts and the spatiotemporal distribution patterns of vegetation ecosystems.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"17"},"PeriodicalIF":2.2,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A model for contractile stress fibers embedded in bulk actomyosin networks.","authors":"Mariya Savinov, Charles S Peskin, Alex Mogilner","doi":"10.1007/s00285-025-02245-6","DOIUrl":"https://doi.org/10.1007/s00285-025-02245-6","url":null,"abstract":"<p><p>Contractile cytoskeletal structures such as fine actomyosin meshworks and stress fibers are essential force-generators for mechanical phenomena in live cells, including motility, morphogenesis, and mechanosensing. While there have been many studies on the rheology and assembly of individual stress fibers, few mathematical models have explicitly modeled the bulk actomyosin network in which stress fibers are embedded, particularly not in the case of high actin turnover. Generally the extent of the interplay between embedded stress fibers and contractile bulk networks is still not well understood. To address this gap, we design a model of stress fibers embedded in bulk actomyosin networks which utilizes the immersed boundary method, allowing one to consider various stress fiber rheologies in the context of an approximately viscous, compressible, contractile bulk network. We characterize the dynamics of bulk actomyosin networks with and without embedded stress fibers, and simulate a laser ablation experiment to demonstrate the effective long-range interactions between stress fibers as well as how perturbations of stress fibers can result in symmetry breaking of the bulk actomyosin network. This paper is a part of the Special Collection \"Problems, Progress and Perspectives in Mathematical and Computational Biology\".</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"14"},"PeriodicalIF":2.2,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Projected spread models.","authors":"Jung-Chao Ban, Jyy-I Hong, Cheng-Yu Tsai, Yu-Liang Wu","doi":"10.1007/s00285-025-02240-x","DOIUrl":"10.1007/s00285-025-02240-x","url":null,"abstract":"<p><p>We present a disease transmission model that considers both explicit and non-explicit factors. This approach is crucial for accurate prediction and control of infectious disease spread. In this paper, we extend the spread model from our previous works (Ban et al. in Chaos Solitons Fractals 150:111106, 2021; Ban et al. in Chaos 33(6):063144, 2023; Ban et al. in J Math Biol 86(3):40, 2023; Ban et al. in Chaos 32(10):103113, 2023) to a projected spread model that considers both hidden and explicit types. Additionally, we provide the spread rate for the projected spread model corresponding to the topological and random models. Furthermore, examples and numerical results are provided to illustrate the theory.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"15"},"PeriodicalIF":2.2,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12202681/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Contribution to the study of a pre-exposure prophylaxis HIV model.","authors":"Thomas Martin, Jianhong Wu, Laurent Pujo Menjouet","doi":"10.1007/s00285-025-02244-7","DOIUrl":"https://doi.org/10.1007/s00285-025-02244-7","url":null,"abstract":"<p><p>Pre-Exposure Prophylaxis (PrEP) is a new treatment against HIV spread consisting of taking antiretrovirals to prevent HIV infection. Silva (Discret Contin Dyn Syst Ser S 11:119-141, 2017) introduced a mathematical model of HIV spread including PrEP. Here we propose to complete their work by including the PrEP parameter in the basic reproduction number of the system. To do so, we study stability changes through the influence of this new parameter. We also prove the global stability of the steady states of the system in this new case using Lyapunov functions. Finally, we extend the stability to cases where death induced by AIDS is non-zero using exponential attractors to make the model more applicable to real-life scenarios.</p>","PeriodicalId":50148,"journal":{"name":"Journal of Mathematical Biology","volume":"91 2","pages":"16"},"PeriodicalIF":2.2,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}