Your browser doesn't support javascript.
loading
A constrained mixture-micturition-growth (CMMG) model of the urinary bladder: Application to partial bladder outlet obstruction (BOO).
Cheng, Fangzhou; Watton, Paul N; Pederzani, Giulia; Kurobe, Masahiro; Takaoka, Ei-Ichiro; Chapple, Chris; Birder, Lori; Yoshimura, Naoki; Robertson, Anne M.
Afiliación
  • Cheng F; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, United States.
  • Watton PN; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, United States; Department of Computer Science & Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom. Electronic address: p.watton@sheffield.ac.uk.
  • Pederzani G; Department of Computer Science & Insigneo Institute for in silico Medicine, University of Sheffield, Sheffield, United Kingdom.
  • Kurobe M; Department of Urology, University of Pittsburgh, Pittsburgh, United States.
  • Takaoka EI; Department of Urology, University of Pittsburgh, Pittsburgh, United States.
  • Chapple C; Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom.
  • Birder L; Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom; Department of Medicine, University of Pittsburgh, United States.
  • Yoshimura N; Department of Urology, University of Pittsburgh, Pittsburgh, United States.
  • Robertson AM; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, United States.
J Mech Behav Biomed Mater ; 134: 105337, 2022 10.
Article en En | MEDLINE | ID: mdl-35863296
We present a constrained mixture-micturition-growth (CMMG) model for the bladder. It simulates bladder mechanics, voiding function (micturition) and tissue adaptations in response to altered biomechanical conditions. The CMMG model is calibrated with both in vivo and in vitro data from healthy male rat urinary bladders (cystometry, bioimaging of wall structure, mechanical testing) and applied to simulate the growth and remodeling (G&R) response to partial bladder outlet obstruction (BOO). The bladder wall is represented as a multi-layered, anisotropic, nonlinear constrained mixture. A short time scale micturition component of the CMMG model accounts for the active and passive mechanics of voiding. Over a second, longer time scale, G&R algorithms for the evolution of both cellular and extracellular constituents act to maintain/restore bladder (homeostatic) functionality. The CMMG model is applied to a spherical membrane model of the BOO bladder utilizing temporal data from an experimental male rodent model to parameterize and then verify the model. Consistent with the experimental studies of BOO, the model predicts: an initial loss of voiding capacity followed by hypertrophy of SMC to restore voiding function; bladder enlargement; collagen remodeling to maintain its role as a protective sheath; and increased voiding duration with lower average flow rate. This CMMG model enables a mechanistic approach for investigating the bladder's structure-function relationship and its adaption in pathological conditions. While the approach is illustrated with a conceptual spherical bladder model, it provides the basis for application of the CMMG model to anatomical geometries. Such a mechanistic approach has promise as an in silico tool for the rational development of new surgical and pharmacological treatments for bladder diseases such as BOO.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Obstrucción del Cuello de la Vejiga Urinaria Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: J Mech Behav Biomed Mater Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Obstrucción del Cuello de la Vejiga Urinaria Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: J Mech Behav Biomed Mater Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos