Séances du jeudi matin de 10h à 12h (alternées entre ICJ, UMPA, Institut Fourier)
Programme prévisionnel 2025/2026 :
- 9 octobre 2025 , 10h-12h : UMPA (Lyon)
- décembre 2025 (date à définir) : journée à Marseille
- 29 janvier 2026 10h-12h : Institut Fourier (Grenoble)
- semaine du 9 mars 2026 (date à définir) : journée à l’UMPA (Lyon)
- 2 avril 2026 10h-12h : ICJ (Lyon)
- semaine du 8 juin 2026 (date à définir) : journée à Grenoble
Orateurs du 9 octobre 2025 à l’UMPA, ENS de Lyon, salle 435 (4e étage).
- Vitaly Volpert, (CNRS, University Lyon 1):
Title: Mathematical modelling of inflammation and inflammatory diseases
Abstract: Inflammation is a fundamental biological response to injury or infection, but its dysregulation underlies numerous chronic diseases. This lecture explores the mathematical modelling of inflammation and inflammatory diseases, integrating biological mechanisms at local and systemic levels. We begin with a biological background, highlighting key cellular and molecular players and their roles in initiating, amplifying, and resolving inflammation. We examine the amplification and resolution phases of inflammation, emphasizing feedback loops, thresholds, and bifurcations that govern transitions between acute and chronic states. Applications to atherosclerosis, Alzheimer’s disease and other inflammatory disorders are discussed illustrating how models predict disease progression and treatment.
- Peter Vermeiren, (Chargé de Recherche, RiverLy Unit, INRAE Lyon-Grenoble Auvergne-Rhône-Alpes):
Title : Modelling bioaccumulation of environmental pollutants using scarce wildlife biomonitoring data.
Abstract : With 1000s of chemicals interacting with 1000s of species in our environment, understanding and predicting the risks of environmental pollutants to biodiversity structure and functioning is of critical importance to species conservation and environmental management. Nevertheless, data regarding concentrations of pollutants within wildlife species are scarce, with data collection limited by financial, labour and ethical restrictions, as well as technical difficulties to measure small trace amounts for a large number of environmental pollutants. In this presentation, I will use a case study of the maternal transfer of organic pollutants between reptile mothers and their eggs, to illustrate some of the challenges and approaches toward quantifying pollution bioaccumulation across generations.
Specifically, we developed a large database through the systematic review and extraction of data from the published literature. In parallel, we set up a Bayesian error-in-variable (EIV) regression model to quantitatively link observed variables (e.g. pollutant concentrations in mothers and their eggs) while accounting for uncertainties and the presence of censored data points (i.e. observations whose value is only known to be within an interval rather than a unique value). Subsequently, we applied the EIV model to the synthesised dataset to statistically analyse the maternal transfer of organic pollutants in reptiles. Different versions of the EIV model accounted for species-specific differences, with the models made available to users with limited statistical background through the “Maternal TRACER” shiny app. Furthermore, a maternal transfer EIV model applicable to alligators is also being integrated into an individual-based modelling framework to simulate the lifelong accumulation of pollutants for populations of alligators under realistic field conditions.