Key result
Deep phenotyping identifies a high-risk PH-HFpEF cluster driven by impaired RV function and unique transcriptomics.
Why the study?
PH-HFpEF is heterogeneous and linked to RV failure, but current diagnostic tools inadequately characterize pulmonary vascular disease and RV dysfunction, limiting treatment precision.
Does deep phenotyping using invasive hemodynamics, advanced imaging, and myocardial transcriptomics identify high-risk PH-HFpEF phenotypes with distinct characteristics?
Observational (n=67)
Does deep phenotyping using invasive hemodynamics, advanced imaging, and myocardial transcriptomics identify high-risk PH-HFpEF phenotypes with distinct characteristics?
Multimodal deep phenotyping can identify a high-risk PH-HFpEF phenogroup characterized by right ventricular dysfunction, vascular remodeling, and titin isoform imbalance, offering potential new therapeutic targets.
Hypothesis-generating for RV-targeted therapies in PH-HFpEF; requires prospective validation before clinical adoption.
Background: Pulmonary hypertension due to heart failure with preserved ejection fraction (PH-HFpEF) is a highly heterogeneous disease associated with right ventricular (RV) failure and adverse outcomes. Current diagnostic tools inadequately characterize pulmonary vascular disease and RV dysfunction, limiting treatment precision. We hypothesized that deep phenotyping-including invasive hemodynamics, advanced imaging, and myocardial transcriptomics-would identify high-risk PH-HFpEF phenotypes with distinct clinical, physiologic, and molecular characteristics. Methods: 42 PH-HFpEF participants (and 25 pre-capillary PH participants, as a comparison group) underwent clinical evaluation, echocardiography, cardiac MRI (cMRI), and invasive cardiopulmonary exercise testing (iCPET). K-means clustering considering clinical, iCPET, and cMRI data stratified participants into distinct clusters (phenogroups). A subset underwent further characterization by invasive pulmonary vascular mechanics (n=17 PH-HFpEF, n=5 pre-capillary PH) and 4D flow cMRI (n=10 PH-HFpEF, n=5 pre-capillary PH). Endomyocardial biopsies from 10 PH-HFpEF participants were analyzed using long-read RNA-sequencing for differential gene and transcript expression. Results: gene, encoding the giant sarcomeric protein titin, may be particularly relevant to elevated myocardial stiffness, which worsens vascular remodeling and precipitates RV dysfunction and failure. Conclusions: In PH-HFpEF, unsupervised clustering using deep physiologic and imaging data identified a high-risk group with impaired RV function and unique transcriptomic profiles. Our findings suggest that proximal and distal pulmonary vascular remodeling, as well as differences in titin isoform expression, may underlie RV failure in this phenogroup. This comprehensive approach provides a framework for mechanistically driven precision medicine strategies in PH-HFpEF. Clinical perspectives: 2.These findings offer a framework for more refined patient classification beyond traditional PVR-based methods, which may improve identification of high-risk individuals who require closer monitoring or targeted therapy.The integrative approach highlights titin isoform imbalance and vessel-specific stiffness as potential therapeutic targets, supporting the development of biology-informed, phenotype-specific interventions for PH-HFpEF with RV dysfunction.
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Raza et al. (2025) conducted an observational in Pulmonary hypertension due to heart failure with preserved ejection fraction (PH-HFpEF) (n=67). Deep phenotyping (clinical, iCPET, cMRI, transcriptomics) vs. Pre-capillary PH was evaluated on Identification of distinct clusters (phenogroups). Deep phenotyping and unsupervised clustering identified a high-risk PH-HFpEF phenogroup characterized by impaired right ventricular function and unique transcriptomic profiles.
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