Related Experiment Video

Updated: Jan 28, 2026

Noninvasive Assessment of Cardiac Abnormalities in Experimental Autoimmune Myocarditis by Magnetic Resonance Microscopy Imaging in the Mouse
12:24

Noninvasive Assessment of Cardiac Abnormalities in Experimental Autoimmune Myocarditis by Magnetic Resonance Microscopy Imaging in the Mouse

Published on: June 20, 2014

10.4K

Cardiac phenotype in mouse models of systemic autoimmunity

Chandan Sanghera1, Lok Man Wong1, Mona Panahi1

  • 1National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK.

Disease Models & Mechanisms
|March 13, 2019
PubMed

Insights

Systemic autoimmune diseases heighten heart risks through inflammation and direct damage. This review aids researchers in selecting appropriate mouse models to study cardiac complications in autoimmunity.

Area of Science:

  • Cardiovascular Medicine
  • Immunology
  • Rheumatology

Background:

  • Systemic autoimmune diseases (SADs) significantly increase cardiovascular complication risks.
  • Cardiac issues in SADs stem from inflammation-driven atherosclerosis and direct autoimmune attack.
  • Existing knowledge on diagnosing and treating cardiac involvement in SADs requires enhancement.

Purpose of the Study:

  • To systematically review cardiac phenotypes in common mouse models of systemic lupus erythematosus, rheumatoid arthritis, and systemic sclerosis.
  • To provide a decision framework for researchers selecting mouse models for studying heart involvement in systemic autoimmunity.
  • To highlight lesser-known but relevant models for mechanistic and therapeutic investigations.

Main Methods:

  • Systematic collation of data on cardiac phenotypes.
  • Analysis of inducible, spontaneous, and engineered mouse models.
  • Focus on models of systemic lupus erythematosus, rheumatoid arthritis, and systemic sclerosis.

Main Results:

  • Detailed characterization of cardiac involvement across various SAD mouse models.
  • Identification of specific cardiac manifestations associated with different autoimmune diseases in models.
  • Evaluation of the suitability of different models for specific research questions.

Conclusions:

  • Mouse models are crucial for understanding cardiac complications in systemic autoimmune diseases.
  • A structured approach to model selection is necessary for effective research.
  • Further research using appropriate models can improve diagnosis and treatment strategies for cardiac issues in autoimmune patients.

Keywords:
Heart diseaseHeart failureMouse modelMyocarditisSLESystemic autoimmunity

More Related Videos

Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model04:39

Generation of a Mouse Spontaneous Autoimmune Thyroiditis Model

Published on: March 17, 2023

2.5K
Experimental Autoimmune Uveitis: An Intraocular Inflammatory Mouse Model07:40

Experimental Autoimmune Uveitis: An Intraocular Inflammatory Mouse Model

Published on: January 12, 2022

6.1K

Related Concept Videos

Autoimmune Disorders01:29

Autoimmune Disorders

Autoimmune diseases are a group of disorders in which the body's immune system mistakenly attacks its own cells, tissues, and organs. This results from an overactive immune response against substances and tissues normally present in the body. Let's delve into the concept and mechanism of autoimmune diseases from an immune system point of view, explore different causes and examples of such diseases, and discuss potential solutions.
Concept and Mechanism of Autoimmune Diseases
The immune...
1.7K
Second Order systems II01:18

Second Order systems II

In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
406
First Order Systems01:21

First Order Systems

First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
423
Second Order systems I01:20

Second Order systems I

A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
588
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
589
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
497