posted on 2023-10-12, 23:44authored byRenata Wawrzyniak, Peter Grešner, Ewa Lewicka, Szymon Macioszek, Artur Furga, Bożena Zieba, Michał J. Markuszewski, Alicja Da̧browska-Kugacka
Pulmonary arterial hypertension (PAH) is a severe, multifactorial,
and frequently misdiagnosed disorder. The aim of this observational
study was to compare the plasma and urine metabolomic profiles of
PAH patients and healthy control subjects. Plasma and urine metabolomic
profiles were analyzed using the GC-MS technique. Correlations between
metabolite levels and clinical parameters among PAH patients, as well
as the between-group differences, were evaluated. The linear discriminant
analysis model, which allows for subject classification in terms of
PAH with the highest possible precision, was developed and proposed.
Plasma pyruvic acid, cholesterol, threonine, urine 3-(3-hydroxyphenyl)-3-hydroxypropanoic
acid, butyric acid, 1,2-benzenediol, glucoheptonic acid, and 2-oxo-glutaric
acid were found to build a relatively accurate classification model
for PAH patients. The model reached an accuracy of 91% and significantly
improved subject classification (OR = 119 [95% CI: 20.3–698.3], p < 0.0001). Five metabolites were detected in urine
that provide easily available and noninvasive tests as compared to
right heart catheterization. The selected panel of metabolites has
potential for early recognition of patients with dyspnea and faster
referral to a reference center.