Development and Characterization of a Novel Rat Model for Emulating COPD-Associated Cor Pulmonale.

IF 4.7 2区 医学 Q1 PATHOLOGY American Journal of Pathology Pub Date : 2025-01-29 DOI:10.1016/j.ajpath.2025.01.003
Zhuoji Ma, Suiyang Tong, Yuhang Huang, Neng Wang, Guanjin Chen, Qianwen Bai, Jia Deng, Liang Zhou, Qiao Luo, Jian Wang, Wenju Lu, Lingdan Chen, Tao Wang
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引用次数: 0

Abstract

Cor pulmonale, a condition marked by right ventricular (RV) dysfunction, is frequently associated with chronic obstructive pulmonary disease (COPD) and significantly worsens COPD prognosis. Despite its clinical relevance, the development of effective treatments is hindered by the lack of animal models that accurately replicate the complex interplay between COPD and cor pulmonale. This study introduces a novel rat model combining cigarette smoke (CS) exposure with left pulmonary artery ligation (LPAL) to better mimic the pathophysiological features of COPD-cor pulmonale. Pulmonary function tests revealed impaired lung function, and histological assessments indicated emphysematous changes and inflammatory infiltration, consistent with COPD pathology. Furthermore, the model exhibited hallmarks of cor pulmonale, including right ventricular hypertrophy, fibrosis, and capillary rarefaction, alongside hemodynamic alterations indicative of pulmonary hypertension. This study's findings underscore the potential of the LPAL+CS rat model to advance understanding of COPD-cor pulmonale pathophysiology and facilitate the development of targeted therapeutics.

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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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