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Related Concept Videos

Chronic Inflammation: Introduction01:12

Chronic Inflammation: Introduction

Chronic inflammation is a prolonged, dysregulated immune response that persists for weeks to years when the inciting stimulus is difficult to eradicate or when self‑antigens drive ongoing reactivity. Morphologically, it is defined by mononuclear cell infiltration, progressive tissue destruction, and concurrent attempts at healing via angiogenesis and fibrosis. Compared with acute inflammation, edema is less prominent while cellular infiltration predominates; triggers include persistent...
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The cellular phase of acute inflammation is a tightly orchestrated sequence of events that recruits leukocytes, primarily neutrophils, to sites of tissue injury or infection. Following the initial vascular changes, this phase ensures effective immune cell migration, activation, and function at the affected site to eliminate pathogens and initiate tissue repair.Leukocyte Recruitment CascadeLeukocyte recruitment happens in four steps: margination, adhesion, transmigration, and chemotaxis. Reduced...
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An inflammatory response is a localized, nonspecific immune reaction that occurs when a tissue is injured. It is characterized by redness, swelling, heat, and pain, which are commonly called the cardinal signs and symptoms of inflammation. Inflammation can sometimes result in a loss of function.
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Analysis of a lumped model for tissue inflammation dynamics.

D A Lauffenburger1, C R Kennedy

  • 1Department of Chemical and Biochemical Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

Mathematical Biosciences
|October 22, 2011
PubMed
Summary
This summary is machine-generated.

This study models the inflammatory response to bacterial invasion, revealing how key process rates influence outcomes and identifying potential causes of pathological inflammation. The mathematical model aids in understanding complex biological dynamics.

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Area of Science:

  • * Mathematical modeling
  • * Systems biology
  • * Immunology

Background:

  • * The inflammatory response to bacterial invasion is a complex interplay of chemical and physical events.
  • * Diverse outcomes arise from the interaction of these processes.
  • * Understanding the dynamics of this response is crucial for identifying pathological deviations.

Purpose of the Study:

  • * To develop and analyze a mathematical model of the generalized inflammatory response to bacterial invasion.
  • * To study the dynamical behavior of the inflammatory system.
  • * To interpret challenge outcomes based on key rate parameters and identify causes of pathological behavior.

Main Methods:

  • * Development of a mathematical model for a generalized inflammatory response.
  • * Analysis of the model to understand system dynamics.
  • * Estimation of parameter values from experimental literature for physiological condition simulations.

Main Results:

  • * The model allows interpretation of inflammatory outcomes based on rate process parameters.
  • * Abnormalities in these processes are shown to lead to pathological behavior.
  • * Model predictions are illustrated using example computations under physiological conditions.

Conclusions:

  • * Mathematical modeling provides a framework for understanding the complex dynamics of the inflammatory response.
  • * The model can identify critical parameters that, when abnormal, result in pathological conditions.
  • * This approach offers insights into the mechanisms underlying bacterial invasion and inflammation.