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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
Summary
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.
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