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Ideal Experimental Rat Models for Liver Diseases
Sang Woo Lee1, Sung Hoon Kim2, Seon Ok Min1
1Department of Surgery, Yonsei University College of Medicine, Korea. ; Graduate School of Yonsei University, Graduate Program of Nano Science and Technology, Korea.
Korean Journal of Hepato-Biliary-Pancreatic Surgery
|October 1, 2015
Summary
Selecting appropriate animal models is crucial for liver disease research due to human study limitations. This review examines white rat models, detailing their pros and cons for advancing liver disease research and treatment development.
Area of Science:
- Biomedical Research
- Animal Models in Medicine
- Hepatology
Background:
- Human liver disease research faces significant cost and ethical barriers.
- Animal models are essential for understanding pathological physiology and developing treatments.
- Selecting the right animal model is challenging due to patient variability and difficulty in replicating clinical scenarios.
Purpose of the Study:
- To review and evaluate various white rat animal models for liver disease research.
- To identify the most suitable rat models for preclinical studies.
- To provide guidance on selecting appropriate animal models and quantities for liver disease research.
Main Methods:
- Systematic review of existing literature on white rat models used in liver disease research.
- Analysis of the advantages and disadvantages of different rat models.
- Consideration of current regulations for laboratory animal use.
Main Results:
- Identification of specific white rat models suitable for liver disease research.
- Detailed assessment of the pros and cons associated with each model's application.
- Discussion on the scientific and systemic considerations for selecting animal models.
Conclusions:
- The review offers valuable insights for researchers in selecting appropriate laboratory animals for liver disease studies.
- Proper selection of rat models can enhance the reliability and efficiency of liver disease research.
- This work aims to aid researchers in navigating the complexities of animal model selection for liver disease research.

