Laboratory Animal and Comparative Medicine ›› 2023, Vol. 43 ›› Issue (4): 381-397.DOI: 10.12300/j.issn.1674-5817.2023.048

• Animal Models of Human Diseases • Previous Articles     Next Articles

Animal Models of Pulmonary Arterial Hypertension and Their Application in Drug Research

Jiahui YU1, Qian GONG1, Lenan ZHUANG1,2,3()()   

  1. 1.Department of Veterinary Medicine, College of Animal Science, Zhejiang University, Hangzhou 310058, China
    2.Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Key Laboratory of Cardiovascular Intervention and Regeneration Medicine of Zhejiang Province, Hangzhou 310016, China
    3.Institute of Animal Genetics, Breeding and Reproduction, College of Animal Science, Zhejiang University, Hangzhou 310058, China
  • Received:2023-04-07 Revised:2023-05-28 Online:2023-08-25 Published:2023-09-14
  • Contact: Lenan ZHUANG

Abstract:

Pulmonary arterial hypertension is a clinical syndrome characterized by pulmonary vascular remodeling causing increased vascular resistance, which will lead to right heart failure and even death if left untreated. The pathogenesis of pulmonary arterial hypertension has not yet been clarified, and clinical treatments have not been effective in improving prognosis or reducing mortality. To investigate the pathogenesis of pulmonary arterial hypertension and to develop and evaluate more effective and safer drug treatments, establishing related animal disease models is very important. This paper outlines the pathological characteristics of pulmonary arterial hypertension and summarizes the various types of animal models of pulmonary arterial hypertension, as well as describes the progress of the application of these models in three therapeutic pathways and related drug research in the past five years, with a view to providing a reference for the selection of animal models of pulmonary arterial hypertension and research applications.

Key words: Pulmonary arterial hypertension, Animal models, Drug evaluation

CLC Number: