Le Laboratoire de Recherche Vasculaire Translationnelle (Laboratory for Vascular Translational Science - LVTS) est associé à l’Inserm, à l’Université Paris Diderot, et l’Université Paris 13. Il est identifié comme UMRS 1148.
Avec 5 équipes, le laboratoire d’environ 150 personnes a une approche transdisciplinaire avec les objectifs de lutte contre les pathologies vasculaires. Les équipes sont affiliées à 3 ITMO (CMN, TS, IHP), à plusieurs Ecoles doctorales du PRES Sorbonne Paris Cité, et à 2 sections scientifiques de l'Inserm (CSS4 et CSS8).
Pour mener à bien ces projets, les compétences humaines et technologiques comprennent les bases de données cliniques, enquêtes cliniques translationnelles (sténose carotidienne, anévrisme et dissections de l'aorte ascendante, Biocore ), bases de données de tissus humains et de cellules, de nombreux modèles expérimentaux de la maladie (souris transgéniques, rats , lapins), des méthodes de biologie moléculaire et cellulaire (génétique et épigénétique, protéomique, ingénierie des protéines, cytométrie en flux), la chimie des biopolymères, l’élaboration de biomatériaux et nanosystèmes, et les technologies d'imagerie chez les petits animaux et chez l'homme (imagerie nucléaire, ultrasons et IRM).
Le projet est structuré en 5 équipes. Les objectifs mettent en évidence la complémentarité des équipes et des interfaces existantes autour d'un thème structurant sur le coeur et les vaisseaux.
Date: 27 oct 2021 - 21:07
Desc: Abstract Soft tissue mechanical characterisation is important in many areas of medical research. Examples span from surgery training, device design and testing, sudden injury and disease diagnosis. The liver is of particular interest, as it is the most commonly injured organ in frontal and side motor vehicle crashes, and also assessed for inflammation and fibrosis in chronic liver diseases. Hence, an extensive rheological characterisation of liver tissue would contribute to advancements in these areas, which are dependent upon underlying biomechanical models. The aim of this paper is to define a liver constitutive equation that is able to characterise the nonlinear viscoelastic behaviour of liver tissue under a range of deformations and frequencies. The tissue response to large amplitude oscillatory shear (1–50%) under varying preloads (1–20%) and frequencies (0.5–2 Hz) is modelled using viscoelastic-adapted forms of the Mooney–Rivlin, Ogden and exponential models. These models are fit to the data using classical or modified objective norms. The results show that all three models are suitable for capturing the initial nonlinear regime, with the latter two being capable of capturing, simultaneously, the whole deformation range tested. The work presented here provides a comprehensive analysis across several material models and norms, leading to an identifiable constitutive equation that describes the nonlinear viscoelastic behaviour of the liver.
Date: 7 déc 2020 - 17:04
Desc: [...]
Date: 27 oct 2021 - 21:02
Desc: Abstract Soft tissue mechanical characterisation is important in many areas of medical research. Examples span from surgery training, device design and testing, sudden injury and disease diagnosis. The liver is of particular interest, as it is the most commonly injured organ in frontal and side motor vehicle crashes, and also assessed for inflammation and fibrosis in chronic liver diseases. Hence, an extensive rheological characterisation of liver tissue would contribute to advancements in these areas, which are dependent upon underlying biomechanical models. The aim of this paper is to define a liver constitutive equation that is able to characterise the nonlinear viscoelastic behaviour of liver tissue under a range of deformations and frequencies. The tissue response to large amplitude oscillatory shear (1–50%) under varying preloads (1–20%) and frequencies (0.5–2 Hz) is modelled using viscoelastic-adapted forms of the Mooney–Rivlin, Ogden and exponential models. These models are fit to the data using classical or modified objective norms. The results show that all three models are suitable for capturing the initial nonlinear regime, with the latter two being capable of capturing, simultaneously, the whole deformation range tested. The work presented here provides a comprehensive analysis across several material models and norms, leading to an identifiable constitutive equation that describes the nonlinear viscoelastic behaviour of the liver.
Date: 29 oct 2021 - 14:23
Desc: Soft tissue mechanical characterisation is important in many areas of medical research. Examples span from surgery training, device design and testing, sudden injury and disease diagnosis. The liver is of particular interest, as it is the most commonly injured organ in frontal and side motor vehicle crashes, and also assessed for inflammation and fibrosis in chronic liver diseases. Hence, an extensive rheological characterisation of liver tissue would contribute to advancements in these areas, which are dependent upon underlying biomechanical models. The aim of this paper is to define a liver constitutive equation that is able to characterise the nonlinear viscoelastic behaviour of liver tissue under a range of deformations and frequencies. The tissue response to large amplitude oscillatory shear (1–50%) under varying preloads (1–20%) and frequencies (0.5–2 Hz) is modelled using viscoelastic-adapted forms of the Mooney–Rivlin, Ogden and exponential models. These models are fit to the data using classical or modified objective norms. The results show that all three models are suitable for capturing the initial nonlinear regime, with the latter two being capable of capturing, simultaneously, the whole deformation range tested. The work presented here provides a comprehensive analysis across several material models and norms, leading to an identifiable constitutive equation that describes the nonlinear viscoelastic behaviour of the liver.
Date: 7 déc 2020 - 16:42
Desc: [...]
U.F.R. de Médecine Paris Diderot (site Xavier-Bichat)
U698 Inserm - CHU Xavier Bichat
16, rue Henri-Huchard - B.P. 416
75877 PARIS CEDEX 18