Analysis of animal models of vertigo based on the characteristics of clinical conditions in Chinese and Western medicines
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School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China

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    Abstract:

    Objective To classify and analyze the existing animal models of vertigo based on the clinical characteristics of Chinese and Western medicines, evaluate the clinical fit of the models, and their advantages and disadvantages, to improve the existing animal models and provide a more intuitive reference for clinical research. Methods The existing animal models of vertigo in the database from January 2000 to March 2023 were searched, and the models were classified by the modeling method combined with the characteristics of Chinese and Western medicine clinical conditions of vertigo and the existing animal model evaluation method, and assigned values to evaluate the clinical fit and the advantages and disadvantages of the models. Results The existing animal models of vertigo were neck surgery, motor stimulation,otogenic stimulation, sclerotherapy injection, flight variation pressure, vertebral artery ligation, and stasis injection models. Among them, the Western medical fit was high for the neck surgery model (65%) and otogenic stimulation model(65%). All models had a moderate Chinese medical fit (50% ≤ fit < 60%) or low(fit < 50%) TCM anast omosis. No model had both high Chinese and Western medicines anastomosis. Conclusions The animal models of vertigo are mainly Western medicine disease models, Chinese medicine evidence models are lacking, and few models have a high clinical fit between Chinese and Western medicines, which fail to highlight the characteristics of Chinese medicine. Therefore, the establishment of animal models of vertigo that are closely integrated with the clinical characteristics of Chinese and Western medicines may provide more reasonable and comprehensive experimental support for the development, screening, and clinical evaluation of new anti-vertigo drugs.

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History
  • Received:April 20,2023
  • Online: May 13,2024
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