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October 1, 2025Pulmonary CirculationOpen Access

Identification and Validation of Potential Diagnostic Biomarkers for Pulmonary Arterial Hypertension Based on Gene Expression Profiling

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Authors

HLHuan LiuMWMeng-Yu WuGQGuanming Qi

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Overview

Bioinformatics analysis reveals diagnostic biomarkers for pulmonary arterial hypertension, indicating clinical applications.

Key Points

  • This research aims to identify and validate potential diagnostic biomarkers for pulmonary arterial hypertension using gene expression profiling.
  • Utilized RNA sequencing data from the GEO database for bioinformatics analyses.
  • Screened differentially expressed genes in blood samples from PAH patients.
  • Conducted functional enrichment and protein-protein interaction network analyses.
  • Identified thirteen overlapping differentially expressed genes enriched in erythrocyte development and heme biosynthesis.
  • Highlighted five hub genes (SLC4A1, AHSP, ALAS2, FECH, CA1) with strong diagnostic potential (AUC ≥ 0.7).
  • External validation confirmed the efficacy of these biomarkers in blood samples, with variations noted in lung tissue.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/69254f97c0ce034ddc359d86https://doi.org/10.1002/pul2.70207
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Bioinformatics-based identification and experimental validation of biomarkers in pulmonary arterial hypertension2026
  2. 2Bioinformatics Analysis and Experimental Validation to Identify Hub Genes in Pulmonary Arterial Hypertension2025
  3. 3Bioinformatics analysis of the GEO database for the identification of novel biomarkers and potential targeted drugs for pulmonary hypertension2025
  4. 4Screening of Hub Genes Associated with Pulmonary Arterial Hypertension by Integrated Bioinformatic Analysis2021 · 19 citations
  5. 5Revealing the pathogenic changes of PAH based on multiomics characteristics2019 · 40 citations