Peng Wei, Zhang Ze-Ying, Xiao Yun-Bin
School of Pediatrics, University of South China, Changsha 410007, China.
Zhongguo Dang Dai Er Ke Za Zhi. 2024 Apr 15;26(4):425-431. doi: 10.7499/j.issn.1008-8830.2310076.
Pulmonary arterial hypertension (PAH) is a severe disease characterized by abnormal pulmonary vascular remodeling and increased right ventricular pressure load, posing a significant threat to patient health. While some pathological mechanisms of PAH have been revealed, the deeper mechanisms of pathogenesis remain to be elucidated. In recent years, bioinformatics has provided a powerful tool for a deeper understanding of the complex mechanisms of PAH through the integration of techniques such as multi-omics analysis, artificial intelligence, and Mendelian randomization. This review focuses on the bioinformatics methods and technologies used in PAH research, summarizing their current applications in the study of disease mechanisms, diagnosis, and prognosis assessment. Additionally, it analyzes the existing challenges faced by bioinformatics and its potential applications in the clinical and basic research fields of PAH in the future.
肺动脉高压(PAH)是一种严重疾病,其特征为肺血管重塑异常和右心室压力负荷增加,对患者健康构成重大威胁。虽然PAH的一些病理机制已被揭示,但其发病的深层机制仍有待阐明。近年来,生物信息学通过整合多组学分析、人工智能和孟德尔随机化等技术,为深入理解PAH的复杂机制提供了强大工具。本综述聚焦于PAH研究中使用的生物信息学方法和技术,总结其在疾病机制研究、诊断及预后评估方面的当前应用。此外,分析了生物信息学面临的现有挑战及其未来在PAH临床和基础研究领域的潜在应用。