Microbiome–Metabolome Axis in BALF Reveals Novel Diagnostic Biomarkers for Congenital Heart Disease-Associated Pulmonary Arterial Hypertension
Xiaoyu Zhang, Liming Cheng, Yuan Zhou, Jiahui Xie, Wenting Gui, Jiaxiang Chen, Zidan Zhang, Kai Liu, Runwei Ma

TL;DR
This study identifies potential noninvasive biomarkers for early detection of a severe heart condition in children by analyzing lung microbes and metabolites.
Contribution
The study introduces a novel integrative approach combining microbiome and metabolome data from BALF to identify biomarkers for C-PAH.
Findings
C-PAH patients showed microbial dysbiosis with higher Firmicutes/Bacteroidetes ratio and increased Lactobacillus.
88 differential metabolites were found between C-PAH and controls, including MNAM and 2-piperidone as potential biomarkers.
Microbe-metabolite interactions, such as Eikenella influencing PAH via 2-piperidone, were identified.
Abstract
Background: Early identification of irreversible pulmonary vascular remodeling in congenital heart disease-associated pulmonary arterial hypertension (C-PAH) is critical for optimizing surgical timing. Current noninvasive diagnostic methods are inadequate, and the lung microbiome and metabolome may provide novel insights into disease progression. Methods: We analyzed bronchoalveolar lavage fluid (BALF) from 47 children, including those with C-PAH (n = 15), CHD without PAH (C-NPAH, n = 16), and healthy controls (n = 16), using 16S rRNA gene sequencing and untargeted metabolomics. Differential microbial taxa and metabolites were identified, and their interactions with clinical indicators were assessed via Random Forest (RF) and Mediation Analysis. Results: C-PAH patients exhibited airway microbial dysbiosis, characterized by an elevated Firmicutes/Bacteroidetes (F/B) ratio and increased…
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Taxonomy
TopicsPulmonary Hypertension Research and Treatments · Congenital Heart Disease Studies · Metabolomics and Mass Spectrometry Studies
