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Physiologic relevance of the transpulmonary metabolome in connective tissue disease–associated pulmonary vascular disease
Michael H. Lee, Thaís C. F. Menezes, Julie A. Reisz, Francesca I. Cendali, Eloara V. M. Ferreira, Jaquelina S. Ota-Arakaki, Priscila A. Sperandio, Rahul Kumar, Claudia Mickael, Martin M. Ieong, Juliana Lucena Santos, Ana Carolina B. Duarte, Dara C. Fonseca Balladares, Kevin Nolan, Rubin M. Tuder, Paul M. Hassoun, Angelo D’Alessandro, Rudolf K. F. Oliveira, Brian B. Graham
Michael H. Lee, Thaís C. F. Menezes, Julie A. Reisz, Francesca I. Cendali, Eloara V. M. Ferreira, Jaquelina S. Ota-Arakaki, Priscila A. Sperandio, Rahul Kumar, Claudia Mickael, Martin M. Ieong, Juliana Lucena Santos, Ana Carolina B. Duarte, Dara C. Fonseca Balladares, Kevin Nolan, Rubin M. Tuder, Paul M. Hassoun, Angelo D’Alessandro, Rudolf K. F. Oliveira, Brian B. Graham
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Research Article Metabolism Pulmonology Vascular biology

Physiologic relevance of the transpulmonary metabolome in connective tissue disease–associated pulmonary vascular disease

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Abstract

Pathologic implications of dysregulated pulmonary vascular metabolism to pulmonary arterial hypertension (PAH) are increasingly recognized, but their clinical applications have been limited. We hypothesized that metabolite quantification across the pulmonary vascular bed in connective tissue disease–associated (CTD-associated) PAH would identify transpulmonary gradients of pathobiologically relevant metabolites, in an exercise stage–specific manner. Sixty-three CTD patients with established or suspected PAH underwent exercise right heart catheterization. Using mass spectrometry–based metabolomics, metabolites were quantified in plasma samples simultaneously collected from the pulmonary and radial arteries at baseline and during resistance-free wheeling, peak exercise, and recovery. We identified uptake and excretion of metabolites across the pulmonary vascular bed, unique and distinct from single vascular site analysis. We demonstrated the physiological relevance of metabolites previously shown to promote disease in animal models and end-stage human lung tissues, including acylcarnitines, glycolytic intermediates, and tryptophan catabolites. Notably, pulmonary vascular metabolite handling was exercise stage specific. Transpulmonary metabolite gradients correlated with hemodynamic endpoints largely during free-wheeling. Glycolytic intermediates demonstrated physiologic significance at peak exercise, including net uptake of lactate in those with more advanced disease. Contribution of pulmonary vascular metabolism to CTD-PAH pathogenesis and therapeutic candidacy of metabolism modulation must be considered in the context of physiologic stress.

Authors

Michael H. Lee, Thaís C. F. Menezes, Julie A. Reisz, Francesca I. Cendali, Eloara V. M. Ferreira, Jaquelina S. Ota-Arakaki, Priscila A. Sperandio, Rahul Kumar, Claudia Mickael, Martin M. Ieong, Juliana Lucena Santos, Ana Carolina B. Duarte, Dara C. Fonseca Balladares, Kevin Nolan, Rubin M. Tuder, Paul M. Hassoun, Angelo D’Alessandro, Rudolf K. F. Oliveira, Brian B. Graham

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Figure 2

Heatmap overview of metabolite availability according to plasma collection site and exercise stage.

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Heatmap overview of metabolite availability according to plasma collecti...
The pulmonary artery (left; n = 63, 59, 62, 62 plasma samples for baseline, free-wheel, peak exercise, and recovery, respectively) and radial artery (middle; n = 57, 53, 56, 56 plasma samples for baseline, free-wheel, peak exercise, and recovery, respectively) heatmaps demonstrate similar patterns, including increased abundance of TCA cycle intermediates, tryptophan metabolites, and carnitines over the course of exercise (i.e., from baseline to peak exercise and recovery) and decreased availability of fatty acids during exercise. A transpulmonary analysis (right; n = 57, 53, 56, 56 plasma samples for baseline, free-wheel, peak exercise, and recovery, respectively), in which the pulmonary artery peak area was subtracted from the radial artery peak area for each metabolite, shows a distinct pattern of metabolite handling by the pulmonary vascular bed. The pulmonary artery analysis had 24 more samples than the other 2 analyses, representing the 6 participants who exercised without radial arterial lines. The figures were prepared using MetaboAnalyst v 6.0. Specifically, original peak areas were used and standardized by autoscaling per feature (metabolite). Each box represents the group average value. 1-3-BisPG, bisphosphoglycerate; 2/3-PG, phosphoglycerate; 5-HIAA, 5-hydroxyindoleacetate; 6-HKA, 6-hydroxykynurenic acid; 6-P-gluconate, 6-phosphogluconate; erythrose 4-phos., erythrose 4-phosphate; G3P/DHAP, glyceraldehyde 3-phosphate/dihydroxyacetone phosphate; glucose 1-phos., glucose 1-phosphate; P-enolpyruvate, phosphoenolpyruvate; pentose phos., pentose phosphates; sphinganine 1-phos., sphinganine 1-phosphate; sphingosine 1-phos., sphingosine 1-phosphate.

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