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Tissues01:18

Tissues

80.7K
Cells with similar structure and function are grouped into tissues. A group of tissues with a specialized function is called an organ. There are four main types of tissue in vertebrates: epithelial, connective, muscle, and nervous.
80.7K
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

5.9K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
5.9K
Connective Tissue Cell Types01:22

Connective Tissue Cell Types

3.4K
Connective tissue develops from the mesoderm of a developing embryo and consists of cells, fibers, and ground substance: a gel-like material containing large complexes of carbohydrates and proteins. Connective tissue was first identified as a separate tissue family in the 18th century, and Johannes Peter Muller coined the term connective tissue.
Fat cells (adipocytes), smooth muscle cells (myoblasts), and bone cells (osteoblasts) are some connective tissue cell types. Some immune system cells...
3.4K
Three-Compartment Open Model01:06

Three-Compartment Open Model

421
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
421
Dense Connective Tissue01:13

Dense Connective Tissue

8.6K
Dense connective tissue contains more collagen fibers than loose connective tissue. As a consequence, it displays greater resistance to stretching. There are two major categories of dense connective tissue— regular and irregular.
Dense Regular Connective Tissue
In dense regular connective tissue, fibers are arranged parallel to each other, enhancing its tensile strength and resistance to stretching in the direction of the fiber orientations. Ligaments and tendons are made of dense regular...
8.6K
Classification of Epithelial Tissues: Overview01:22

Classification of Epithelial Tissues: Overview

14.7K
Epithelial tissues are classified according to the shape of the cells and the number of cell layers formed. Cell shapes can be squamous (flattened and thin), cuboidal (square-like, as wide as it is tall), or columnar (rectangular, taller than it is wide). Additionally, the nucleus shape helps identify the type of epithelial cells. Squamous cells have flattened disc-shaped nuclei, cuboidal cells have spherical nuclei, and columnar cells have elongated nuclei.
Based on the number of cell layers,...
14.7K

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Updated: Sep 9, 2025

Finite Element Modelling of a Cellular Electric Microenvironment
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Finite Element Modelling of a Cellular Electric Microenvironment

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Un modelo continuo para tejidos con densidad celular moderada

Yashar Ebadi1, Elizabeth D Shih2, Victor H Barocas2

  • 1Department of Mechanical Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.

Computers in biology and medicine
|August 31, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo modelo híbrido predice con precisión el estrés celular en los tejidos a través de diferentes densidades. Esto avanza en la comprensión de la mecanotransducción en condiciones como los aneurismas cerebrales.

Palabras clave:
Aneurisma en el cerebroModelo de mezcla restringidaSolución de EshelbyEl FEMCrecimiento y remodelaciónRegla de mezclaCélulas del músculo liso vascular

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Área de la Ciencia:

  • Ingeniería biomédica
  • Mecánica celular
  • Ingeniería de tejidos

Sus antecedentes:

  • Las células responden a las fuerzas mecánicas a través de la mecanotransducción, crucial para el desarrollo de los tejidos.
  • Los modelos existentes luchan para predecir con precisión el estrés celular en tejidos con densidades celulares medianas.

Objetivo del estudio:

  • Desarrollar y validar un nuevo modelo para predecir el estrés celular en tejidos con densidades celulares intermedias.
  • Investigar la influencia de la forma celular, la densidad y las propiedades del material en el estrés tisular.

Principales métodos:

  • Se utilizó el Modelado de Elementos Finitos (FEM) para simular muestras de tejido con formas celulares variables (esféricas, elipsoidales, cilíndricas), fracciones de volumen y relaciones de rigidez.
  • Se emplearon elementos de volumen representativos (EVR) para modelar la mecánica de los tejidos bajo estiramiento uniaxial.
  • Se desarrolló un modelo híbrido que combina la regla de las mezclas (ROM) y el modelo de inclusión de Eshelby y se validó con los resultados de FEM.

Principales resultados:

  • El modelo de la Regla de Mezclas (ROM) mostró inexactitudes en densidades celulares bajas, mientras que el modelo de Eshelby vaciló en densidades más altas.
  • El modelo híbrido propuesto demostró una precisión superior en la predicción del estrés celular en una amplia gama de densidades celulares en comparación con el FEM.
  • El modelo híbrido capturó efectivamente el estrés en tejidos con propiedades materiales no lineales complejas.

Conclusiones:

  • El modelo híbrido desarrollado ofrece un enfoque más preciso y versátil para modelar el estrés celular en tejidos con densidades celulares intermedias.
  • Este trabajo mejora la comprensión de la mecanotransducción en diversas condiciones fisiológicas y patológicas, incluidos los aneurismas cerebrales.
  • El modelo proporciona una herramienta valiosa para estudiar la mecánica de los tejidos y guiar las estrategias terapéuticas.