Clustering Patients with Pulmonary Hypertension Using the Plasma Proteome

Athénaïs Boucly; Shanshan Song; Merve Keleş; Dennis Wang; Luke Howard; Marc Humbert; Olivier Sitbon; Allan Lawrie; A. A. Roger Thompson; Philipp Frank; Mika Kivimäki; Christopher J. Rhodes; Martin R. Wilkins

doi:10.1164/rccm.202408-1574oc

June 13, 2025American Journal of Respiratory and Critical Care MedicineOpen Access

Clustering Patients with Pulmonary Hypertension Using the Plasma Proteome

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Key Points

To stratify pulmonary hypertension patients using plasma proteomic profiling to discover subgroup-specific theragnostic biomarkers.
Conducted plasma proteomic profiling on blood samples from patients diagnosed with pulmonary hypertension.
Performed unsupervised clustering based on differential plasma protein expression patterns across patient samples.
Distinguished four separate patient clusters characterized by unique plasma protein profiles that occur independently of established clinical classifications.
Identified distinct protein expression patterns that may serve as theragnostic biomarkers for emerging treatments directed at PDGF and TGF-β signaling pathways.

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Abstract

Plasma proteomic profiling of patients with pulmonary hypertension distinguishes four clusters, independent of the clinical classification. These groups, based on differential plasma protein levels, could act as theragnostic biomarkers for new therapies targeting PDGF and TGF-β pathways.

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Cite This Study

Boucly et al. (2025) studied this question.

synapsesocial.com/papers/69f934c48338827971878b07 https://doi.org/10.1164/rccm.202408-1574oc

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Clustering Patients with Pulmonary Hypertension Using the Plasma Proteome

Key Points

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Abstract

Discussion

Cite This Study

Clustering Patients with Pulmonary Hypertension Using the Plasma Proteome

Key Points

Ask about this paper

Abstract

Discussion

Cite This Study

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