生物信息学在肺动脉高压中的研究进展

doi:10.7499/j.issn.1008-8830.2310076

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Abstract 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.

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	PENG Wei
	ZHANG Ze-Ying
	XIAO Yun-Bin

Key words： Pulmonary arterial hypertension Bioinformatics Artificial intelligence Machine learning

Received: 18 October 2023

Corresponding Authors: (Xiao Y-B, Email:xiaoyunbinrui@126.com) E-mail: xiaoyunbinrui@126.com

Cite this article:

PENG Wei,ZHANG Ze-Ying,XIAO Yun-Bin. Research progress on bioinformatics in pulmonary arterial hypertension[J]. CJCP, 2024, 26(4): 425-431.

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http://www.zgddek.com/EN/10.7499/j.issn.1008-8830.2310076 OR http://www.zgddek.com/EN/Y2024/V26/I4/425

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