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Updated: Apr 21, 2026

Evaluation of Right Ventricular Function in Experimental Models of Pulmonary Arterial Hypertension
Published on: June 27, 2025
Peripheral blood signature of vasodilator-responsive pulmonary arterial hypertension
Anna R Hemnes1, Aaron W Trammell2, Stephen L Archer2
1From the Division of Allergy, Pulmonary, and Critical Care Medicine (A.R.H., A.W.T., N.P., M.F., L.W., I.M.R., J.H.N., J.W.) and Department of Biostatistics (C.Y., H.N.), Vanderbilt University School of Medicine, Nashville, TN; Department of Medicine, Queen's University, Kingston, Ontario, Canada (S.L.A.); Division of Cardiology, University of Chicago, Chicago, IL (S.R.); and Division of Allergy, Immunology, and Pulmonary Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN (E.D.A.). anna.r.hemnes@vanderbilt.edu.
Background:
Heterogeneity in response to treatment of pulmonary arterial hypertension (PAH) is a major challenge to improving outcome in this disease. Although vasodilator-responsive PAH (VR-PAH) accounts for a minority of cases, VR-PAH has a pronounced response to calcium channel blockers and better survival than vasodilator-nonresponsive PAH (VN-PAH). We hypothesized that VR-PAH has a different molecular cause from VN-PAH that can be detected in the peripheral blood.
Methods And Results:
Microarrays of cultured lymphocytes from VR-PAH and VN-PAH patients followed at Vanderbilt University were performed with quantitative polymerase chain reaction performed on peripheral blood for the 25 most different genes. We developed a decision tree to identify VR-PAH patients on the basis of the results with validation in a second VR-PAH cohort from the University of Chicago. We found broad differences in gene expression patterns on microarray analysis including cell-cell adhesion factors and cytoskeletal and rho-GTPase genes. Thirteen of 25 genes tested in whole blood were significantly different: EPDR1, DSG2, SCD5, P2RY5, MGAT5, RHOQ, UCHL1, ZNF652, RALGPS2, TPD52, MKNL1, RAPGEF2, and PIAS1. Seven decision trees were built with the use of expression levels of 2 genes as the primary genes: DSG2, a desmosomal cadherin involved in Wnt/β-catenin signaling, and RHOQ, which encodes a cytoskeletal protein involved in insulin-mediated signaling. These trees correctly identified 5 of 5 VR-PAH patients in the validation cohort.
Conclusions:
VR-PAH and VN-PAH can be differentiated with the use of RNA expression patterns in peripheral blood. These differences may reflect different molecular causes of the 2 PAH phenotypes. This biomarker methodology may identify PAH patients who have a favorable treatment response.
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