[Research progress on bioinformatics in pulmonary arterial hypertension]

Area of Science:

• Cardiovascular Research
• Genomics and Bioinformatics
• Pulmonary Medicine

Background:

• Pulmonary arterial hypertension (PAH) involves complex vascular remodeling and elevated right ventricular pressure, significantly impacting patient health.
• Despite progress, the deeper pathogenic mechanisms of PAH require further elucidation.
• Bioinformatics offers advanced tools for dissecting complex diseases like PAH.

Purpose of the Study:

• To review bioinformatics methods and technologies applied to pulmonary arterial hypertension (PAH) research.
• To summarize current applications of bioinformatics in understanding PAH mechanisms, diagnosis, and prognosis.
• To analyze challenges and future potential of bioinformatics in PAH clinical and basic research.

Main Methods:

• Review of current literature on bioinformatics applications in PAH.
• Integration of multi-omics analysis, artificial intelligence, and Mendelian randomization techniques.
• Analysis of bioinformatics tools for disease mechanism, diagnosis, and prognosis assessment.

Main Results:

• Bioinformatics provides powerful approaches for understanding complex PAH mechanisms.
• Current applications span disease mechanism elucidation, diagnostic improvements, and prognostic assessments.
• Identified challenges and future opportunities for bioinformatics in PAH research.

Conclusions:

• Bioinformatics is crucial for unraveling the intricate pathogenesis of pulmonary arterial hypertension (PAH).
• Continued development and application of bioinformatics tools will enhance PAH diagnosis and prognosis.
• Future research should focus on overcoming current challenges to fully leverage bioinformatics in PAH clinical and basic science.