{"title":"Modelling combined virotherapy and immunotherapy: strengthening the antitumour immune response mediated by IL-12 and GM-CSF expression","authors":"A. Jenner, C. Yun, A. Yoon, A. Coster, P. Kim","doi":"10.1080/23737867.2018.1438216","DOIUrl":"https://doi.org/10.1080/23737867.2018.1438216","url":null,"abstract":"Combined virotherapy and immunotherapy has been emerging as a promising and effective cancer treatment for some time. Intratumoural injections of an oncolytic virus instigate an immune reaction in the host, resulting in an influx of immune cells to the tumour site. Through combining an oncolytic viral vector with immunostimulatory cytokines an additional antitumour immune response can be initiated, whereby immune cells induce apoptosis in both uninfected and virus infected tumour cells. We develop a mathematical model to reproduce the experimental results for tumour growth under treatment with an oncolytic adenovirus co-expressing the immunostimulatory cytokines interleukin 12 (IL-12) and granulocyte-monocyte colony stimulating factor (GM-CSF). By exploring heterogeneity in the immune cell stimulation by the treatment, we find a subset of the parameter space for the immune cell induced apoptosis rate, in which the treatment will be less effective in a short time period. Therefore, we believe the bivariate nature of treatment outcome, whereby tumours are either completely eradicated or grow unbounded, can be explained by heterogeneity in this immune characteristic. Furthermore, the model highlights the apparent presence of negative feedback in the helper T cell and APC stimulation dynamics, when IL-12 and GM-CSF are co-expressed as opposed to individually expressed by the viral vector.","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"S116 - S99"},"PeriodicalIF":0.0,"publicationDate":"2018-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2018.1438216","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42683915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Treating cancerous cells with viruses: insights from a minimal model for oncolytic virotherapy","authors":"A. Jenner, A. Coster, P. Kim, Federico Frascoli","doi":"10.1080/23737867.2018.1440977","DOIUrl":"https://doi.org/10.1080/23737867.2018.1440977","url":null,"abstract":"Abstract In recent years, interest in the capability of virus particles as a treatment for cancer has increased. In this work, we present a mathematical model embodying the interaction between tumour cells and virus particles engineered to infect and destroy cancerous tissue. To quantify the effectiveness of oncolytic virotherapy, we conduct a local stability analysis and bifurcation analysis of our model. In the absence of tumour growth or viral decay, the model predicts that oncolytic virotherapy will successfully eliminate the tumour cell population for a large proportion of initial conditions. In comparison, for growing tumours and decaying viral particles there are no stable equilibria in the model; however, oscillations emerge for certain regions in our parameter space. We investigate how the period and amplitude of oscillations depend on tumour growth and viral decay. We find that higher tumour replication rates result in longer periods between oscillations and lower amplitudes for uninfected tumour cells. From our analysis, we conclude that oncolytic viruses can reduce growing tumours into a stable oscillatory state, but are insufficient to completely eradicate them. We propose that it is only with the addition of other anti-cancer agents that tumour eradication may be achieved by oncolytic virus.","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"S117 - S136"},"PeriodicalIF":0.0,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2018.1440977","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44756442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A model for cross-institutional collaboration: how the intercollegiate biomathematics alliance is pioneering a new paradigm in response to diminishing resources in academia","authors":"Olcay Akman, Megan O. Powell","doi":"10.1080/23737867.2018.1445044","DOIUrl":"https://doi.org/10.1080/23737867.2018.1445044","url":null,"abstract":"Abstract We present an emerging model of shared academic, intellectual and infrastructure resources that addresses the need for institutions to sustain their educational and scholarship missions under ever-declining funding. The (IBA) was created in 2014 by Illinois State University for this purpose, eventually growing to a state-recognized ‘Center for Collaborative Studies’ in 2017. As the impact of the IBA continues to expand, it is on its way to become a new education paradigm in response to diminishing resources, and it can serve as a model to foster collaboration for other fields of mathematics.","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"91 - 97"},"PeriodicalIF":0.0,"publicationDate":"2018-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2018.1445044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41596778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An extensible mathematical model of glucose metabolism. Part I: the basic glucose-insulin-glucagon model, basal conditions and basic dynamics","authors":"Caleb L. Adams, D. G. Lasseigne","doi":"10.1080/23737867.2018.1429332","DOIUrl":"https://doi.org/10.1080/23737867.2018.1429332","url":null,"abstract":"Abstract A basic model highlighting the counter-regulatory roles of insulin and glucagon is proposed to start a series of models designed to explore continuous rein control and major aspects of glucose metabolism. The three-by-three dynamical system uses black boxes to model unit processes such as the dependencies of insulin secretion rate and the glucagon secretion rate on blood glucose concentration. The dependency of basal conditions on insulin resistance and any defects in insulin or glucagon secretion are shown. Since over-production of hepatic glucose exists early in the history of diabetes, it is important that mathematical models should account for this effect by inclusion of the dynamical equation governing glucagon concentration as this illustrative model does. All solutions are consistent with gross features of the metabolic process. The model is examined for explicit and implicit assumptions affecting its validity which determines that the first extension to the model should account for glucose storage and the release of stored glucose.","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"70 - 90"},"PeriodicalIF":0.0,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2018.1429332","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45206204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tumour-associated macrophages and oncolytic virotherapies: a mathematical investigation into a complex dynamics","authors":"R. Eftimie, G. Eftimie","doi":"10.1080/23737867.2018.1430518","DOIUrl":"https://doi.org/10.1080/23737867.2018.1430518","url":null,"abstract":"Abstract Anti-cancer therapies based on oncolytic viruses are emerging as important approaches in cancer treatment. However, the effectiveness of these therapies depends significantly on the interactions between the oncolytic viruses and the host immune response. Macrophages are one of the most important cell types in the anti-viral immune responses, by acting as a first line of defence against infections. Here, we consider a mathematical approach to investigate the possible outcomes of the interactions between two extreme phenotypes of macrophages (M1 and M2 cells) and an oncolytic virus (VSV), in the context of B16F10 melanoma. We show that polarization towards either an M1 or M2 phenotype can enhance oncolytic virus therapy through either (i) anti-tumour immune activation, or (ii) enhanced oncolysis. Moreover, we show that tumour reduction and elimination does not depend only on the ratio of M1:M2 cells, but also on the number of tumour-infiltrating macrophages.","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"S35 - S6"},"PeriodicalIF":0.0,"publicationDate":"2018-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2018.1430518","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48903036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling epidemics on d-cliqued graphs","authors":"L. Schaposnik, Anlin Zhang","doi":"10.1080/23737867.2017.1419080","DOIUrl":"https://doi.org/10.1080/23737867.2017.1419080","url":null,"abstract":"Abstract Since social interactions have been shown to lead to symmetric clusters, we propose here that symmetries play a key role in epidemic modelling. Mathematical models on d-ary tree graphs were recently shown to be particularly effective for modelling epidemics in simple networks. To account for symmetric relations, we generalize this to a new type of networks modelled on d-cliqued tree graphs, which are obtained by adding edges to regular d-trees to form d-cliques. This setting gives a more realistic model for epidemic outbreaks originating within a family or classroom and which could reach a population by transmission via children in schools. Specifically, we quantify how an infection starting in a clique (e.g. family) can reach other cliques through the body of the graph (e.g. public places). Moreover, we propose and study the notion of a safe zone, a subset that has a negligible probability of infection.","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"49 - 69"},"PeriodicalIF":0.0,"publicationDate":"2018-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2017.1419080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45462820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Letters in BiomathematicsPub Date : 2018-01-01Epub Date: 2018-06-18DOI: 10.1080/23737867.2018.1472532
H Cho, K Ayers, L DePills, Y-H Kuo, J Park, A Radunskaya, R Rockne
{"title":"Modelling acute myeloid leukaemia in a continuum of differentiation states.","authors":"H Cho, K Ayers, L DePills, Y-H Kuo, J Park, A Radunskaya, R Rockne","doi":"10.1080/23737867.2018.1472532","DOIUrl":"https://doi.org/10.1080/23737867.2018.1472532","url":null,"abstract":"<p><p>Here we present a mathematical model of movement in an abstract space representing states of cellular differentiation. We motivate this work with recent examples that demonstrate a continuum of cellular differentiation using single cell RNA sequencing data to characterize cellular states in a high-dimensional space, which is then mapped into <math> <mrow><msup><mi>ℝ</mi> <mn>2</mn></msup> </mrow> </math> or <math> <mrow><msup><mi>ℝ</mi> <mn>2</mn></msup> </mrow> </math> with dimension reduction techniques. We represent trajectories in the differentiation space as a graph, and model directed and random movement on the graph with partial differential equations. We hypothesize that flow in this space can be used to model normal and abnormal differentiation processes. We present a mathematical model of hematopoeisis parameterized with publicly available single cell RNA-Seq data and use it to simulate the pathogenesis of acute myeloid leukemia (AML). The model predicts the emergence of cells in novel intermediate states of differentiation consistent with immunophenotypic characterizations of a mouse model of AML.</p>","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 Suppl 1","pages":"S69-S98"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2018.1472532","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36536055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Letters in BiomathematicsPub Date : 2018-01-01Epub Date: 2018-12-07DOI: 10.1080/23737867.2018.1552543
Muntaser Safan, Anarina L Murillo, Devina Wadhera, Carlos Castillo-Chavez
{"title":"Modeling the Diet Dynamics of Children: the Roles of Socialization and the School Environment.","authors":"Muntaser Safan, Anarina L Murillo, Devina Wadhera, Carlos Castillo-Chavez","doi":"10.1080/23737867.2018.1552543","DOIUrl":"https://doi.org/10.1080/23737867.2018.1552543","url":null,"abstract":"<p><p>Childhood obesity is a health emergency in many parts of the world including the U.S. and, consequently, identifying local, regional or national intervention models capable, of altering the dynamics of obesity at scales that make a difference remains a challenge. The fact that consumption of healthful foods among most youth has yet to meet recommended nutritional standards highlights a lack of effective policies aimed at addressing the epidemic of obesity. Mathematical models are used to evaluate the roles of socialization and school environment on the diet dynamics of children. Data suggest that standard nutrition education programs may have, at best, minimal impact in altering diet dynamics at the population-level. Inclusion of peer influence (model as contagion) reinforced by the use of culturally-sensitive school menus (environmental disruption) may prove capable of modifying obesity enhancing diet dynamics; altering the diets of a significant (critical) proportion of youngsters. A framework is introduced to explore the value of behavior-based interventions and policies that account for the sociocultural environments of at risk communities. These models capture carefully choreographed scenarios to account for the fact that when dealing with diet-dynamics systems, thinking additively is not enough as it cannot account for the power of nonlinear effects.</p>","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"275-306"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2018.1552543","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36918858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Letters in BiomathematicsPub Date : 2018-01-01Epub Date: 2017-12-26DOI: 10.1080/23737867.2017.1413432
Miranda M Chen, S M Scott, Jessica D Stevens
{"title":"Technology as a tool in teaching quantitative biology at the secondary and undergraduate levels: a review.","authors":"Miranda M Chen, S M Scott, Jessica D Stevens","doi":"10.1080/23737867.2017.1413432","DOIUrl":"https://doi.org/10.1080/23737867.2017.1413432","url":null,"abstract":"<p><p>Since the publication of the National Research Councils Report <i>BIO2010</i>, e orts have increased to better integrate mathematics and biology in undergraduate education. Unfortunately, equivalent e orts to introduce these quantitative topics at the secondary level have been seldom. This could cause differential success of undergraduate students who come from diverse secondary science backgrounds. Undergraduate courses regularly use technology to integrate these two disciplines, and we believe that technology can similarly be used at the secondary level to prevent quantitative achievement mismatch in undergraduate biology programs. In this paper, we review the current uses of technology to teach quantitative biology at the secondary and undergraduate levels, propose needs for further implementation, and address potential barriers to integrating mathematics and biology using technology.</p>","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"5 1","pages":"30-48"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2017.1413432","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36715722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mathematical modeling, analysis and simulation of the spread of Zika with influence of sexual transmission and preventive measures","authors":"P. Padmanabhan, P. Seshaiyer, C. Castillo-Chavez","doi":"10.1080/23737867.2017.1319746","DOIUrl":"https://doi.org/10.1080/23737867.2017.1319746","url":null,"abstract":"Abstract The Zika arbovirus transmitted by the Aedes aegypti mosquitoes has been shown to be capable of infecting humans via two routes: the bites of infected vectors and through sexual contacts involving infected and non-infected persons. There is no treatment and current prevention or mitigating efforts rely on the use of the Centers for Disease Control and Prevention recommendations including the use of insecticide-treated bed nets (ITN) and indoor residual spraying (IRS). In this work, we investigate via a mathematical model, the role of ITN and IRS as methods for limiting the impact of Zika transmission. We introduce a model that builds on classical SEIR epidemiological single outbreak models. We compute the basic and control reproduction numbers and the final epidemic size in the presence of control measures ITN and IRS. We derive a gross estimate for the rate of sexual transmission, during the initial stages of the outbreak, in terms of prior estimates of the basic reproduction number from related albeit not sexually transmitted arboviral diseases.","PeriodicalId":37222,"journal":{"name":"Letters in Biomathematics","volume":"4 1","pages":"148 - 166"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23737867.2017.1319746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48507869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}