Lipid Ratios for Diagnosis and Prognosis of Pulmonary Hypertension

<b>Rationale:</b> Pulmonary hypertension (PH) poses a significant health threat. Current biomarkers for PH lack specificity and have poor prognostic capabilities. <b>Objectives:</b> To develop better biomarkers for PH that are useful for patient identification and management. <b>Methods:</b> An explorative analysis was conducted of a broad spectrum of metabolites in patients with PH, healthy control subjects, and diseased control subjects in training and validation cohorts, together with <i>in vitro</i> studies on human pulmonary arteries. <b>Measurements and Main Results:</b> High-resolution mass spectrometry was performed in 233 subjects coupled with machine learning analysis. Histologic and gene expression analysis was conducted, with a focus on lipid metabolism in human pulmonary arteries of idiopathic pulmonary arterial hypertension lungs and assessment of the acute effects of extrinsic fatty acids (FAs). We enrolled a training cohort of 74 patients with PH, 30 diseased control subjects without PH, and 65 healthy control subjects, as well as an independent validation cohort of 64 subjects. Among other metabolites, FAs were significantly increased. Machine learning showed a high diagnostic potential for PH. In addition, we developed fully explainable lipid ratios with exceptional diagnostic accuracy for PH (areas under the curve of 0.89 in the training cohort and 0.90 in the external validation cohort), outperforming machine learning results. These ratios were also prognostic and complemented established clinical markers and scores, significantly increasing their hazard ratios for mortality risk. Idiopathic pulmonary arterial hypertension lungs showed lipid accumulation and altered expression of lipid homeostasis-related genes. In human pulmonary artery smooth muscle and endothelial cells, FAs caused excessive proliferation and barrier dysfunction, respectively. <b>Conclusions:</b> Our metabolomics approach suggests that lipid alterations in PH provide diagnostic and prognostic information, complementing established markers. These alterations may reflect pathologic changes in the pulmonary arteries of patients with PH.

Authors

Institutions

Publication Details

Journal
American Journal of Respiratory and Critical Care Medicine
Published
2025-06-13
DOI
https://doi.org/10.1164/rccm.202407-1345oc
Citations
9
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
Field-Weighted Citation Impact
13.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lipid Ratios for Diagnosis and Prognosis of Pulmonary Hypertension

Elmar Zügner, Tobias Lange, Vasile Foris, Thomas O. Eichmann et al.
9 citations
American Journal of Respiratory and Critical Care Medicine
Pulmonary Hypertension Research and Treatments
13.67
article

Lipid Ratios for Diagnosis and Prognosis of Pulmonary Hypertension

Elmar Zügner, Tobias Lange, Vasile Foris, Thomas O. Eichmann, Silvia Ulrich, Konrad Höetzenecker, Christoph Magnes, Thomas Rudolf Pieber, Bence Nagy, Andrea Olschewski, Helga Ludwig, Ulrich Bodenhofer, Bradley A. Maron, Nikolaus Kneidinger, Valentina Biasin, Natalie Bordag, Chandran Nagaraj, Horst Olschewski, Gábor Kovács
article en
9 citations

Abstract

<b>Rationale:</b> Pulmonary hypertension (PH) poses a significant health threat. Current biomarkers for PH lack specificity and have poor prognostic capabilities. <b>Objectives:</b> To develop better biomarkers for PH that are useful for patient identification and management. <b>Methods:</b> An explorative analysis was conducted of a broad spectrum of metabolites in patients with PH, healthy control subjects, and diseased control subjects in training and validation cohorts, together with <i>in vitro</i> studies on human pulmonary arteries. <b>Measurements and Main Results:</b> High-resolution mass spectrometry was performed in 233 subjects coupled with machine learning analysis. Histologic and gene expression analysis was conducted, with a focus on lipid metabolism in human pulmonary arteries of idiopathic pulmonary arterial hypertension lungs and assessment of the acute effects of extrinsic fatty acids (FAs). We enrolled a training cohort of 74 patients with PH, 30 diseased control subjects without PH, and 65 healthy control subjects, as well as an independent validation cohort of 64 subjects. Among other metabolites, FAs were significantly increased. Machine learning showed a high diagnostic potential for PH. In addition, we developed fully explainable lipid ratios with exceptional diagnostic accuracy for PH (areas under the curve of 0.89 in the training cohort and 0.90 in the external validation cohort), outperforming machine learning results. These ratios were also prognostic and complemented established clinical markers and scores, significantly increasing their hazard ratios for mortality risk. Idiopathic pulmonary arterial hypertension lungs showed lipid accumulation and altered expression of lipid homeostasis-related genes. In human pulmonary artery smooth muscle and endothelial cells, FAs caused excessive proliferation and barrier dysfunction, respectively. <b>Conclusions:</b> Our metabolomics approach suggests that lipid alterations in PH provide diagnostic and prognostic information, complementing established markers. These alterations may reflect pathologic changes in the pulmonary arteries of patients with PH.

American Journal of Respiratory and Critical Care MedicineVol. 211(7)
Sigmund Freud Privatuniversität Wien (AT), University of Maryland, Baltimore (US), Brigham and Women's Hospital (US), Joanneum Research (AT), Harvard University (US), Medical University of Graz (AT), Ludwig Boltzmann Institute for Lung Vascular Research (AT), University Hospital of Zurich (CH), IONICS Mass Spectrometry (Canada) (CA), BioTechMed-Graz (AT), Innovation Cluster (Canada) (CA), Center For Biomarker Research In Medicine (AT), German Center for Lung Research (DE), University of Applied Sciences Upper Austria (AT), Pulmonary Associates (US), Klinik Bad Reichenhall (DE), Czech Academy of Sciences, Institute of Physiology (CZ), University of Regensburg (DE), Medical University of Vienna (AT), Charité - Universitätsmedizin Berlin (DE), Ludwig-Maximilians-Universität München (DE), Vanderbilt University Medical Center (US)
Good health and well-being
Openalex Percentile: Top 1%
Pulmonary Hypertension Research and Treatments
13.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.