Unveiling the metabolic landscape of pulmonary hypertension: insights from metabolomics

• Published in: Respiratory research Vol. 25; no. 1; p. 221
• Main Authors: Ba, Huixue, Guo, Yingfan, Jiang, Yujie, Li, Ying, Dai, Xuejing, Liu, Yuan, Li, Xiaohui
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 28.05.2024; BioMed Central; BMC
• Subjects: Amino acid metabolism; Amino acids; Analysis; Animals; Carbohydrate metabolism; Care and treatment; Cell proliferation; Development and progression; Diagnosis; Health aspects; Humans; Hypertension, Pulmonary - metabolism; Lipid metabolism; Lipid Metabolism - physiology; Medical research; Medicine, Experimental; Metabolites; Metabolomics; Metabolomics - methods; Metabolomics - trends; Nucleotide metabolism; Pulmonary hypertension; Review; China; Metabolomics; Biomarker; Carbohydrate metabolism; Lipid metabolism; Amino acid metabolism; Nucleotide metabolism; Pulmonary hypertension
• ISSN: 1465-993X; 1465-9921; 1465-993X
• DOI: 10.1186/s12931-024-02775-5

Pulmonary hypertension (PH) is regarded as cardiovascular disease with an extremely poor prognosis, primarily due to irreversible vascular remodeling. Despite decades of research progress, the absence of definitive curative therapies remains a critical challenge, leading to high mortality rates. Recent studies have shown that serious metabolic disorders generally exist in PH animal models and patients of PH, which may be the cause or results of the disease. It is imperative for future research to identify critical biomarkers of metabolic dysfunction in PH pathophysiology and to uncover metabolic targets that could enhance diagnostic and therapeutic strategies. Metabolomics offers a powerful tool for the comprehensive qualitative and quantitative analysis of metabolites within specific organisms or cells. On the basis of the findings of the metabolomics research on PH, this review summarizes the latest research progress on metabolic pathways involved in processes such as amino acid metabolism, carbohydrate metabolism, lipid metabolism, and nucleotide metabolism in the context of PH.