BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive disorder characterized by pulmonary vascular remodeling and mitochondrial dysfunction. Recent studies have implicated impaired mitophagy in the pathogenesis of PAH; however, the underlying mechanisms and associated biomarkers remain insufficiently defined. This study used an integrative approach, incorporating bulk transcriptomic profiling, single-cell RNA sequencing (scRNA-seq), machine learning algorithms, and experimental validation to explore the relationship between mitophagy and PAH. METHODS: Differentially expressed genes were extracted from publicly available microarray datasets and intersected with mitophagy-related genes curated from the MitoCarta 3.0 database. Weighted gene co-expression network analysis, along with five distinct machine learning models, identified five candidate mitophagy-associated biomarkers: RRAS, BECN1, MFN1, HIF1A, and TAX1BP1. These genes demonstrated high diagnostic performance (area under the curve >0.9) across both training and validation cohorts. Immune cell deconvolution analysis indicated a marked increase in M1 macrophage infiltration in lung tissue from individuals with PAH. The scRNA-seq further localized the expression of these biomarkers predominantly to monocyte/macrophage populations and indicated distinct pseudotemporal expression trajectories during macrophage differentiation. Expression and co-localization of the identified biomarkers with autophagy and inflammation markers were subsequently validated using quantitative PCR, western blotting, and immunofluorescence in a monocrotaline-induced PAH rat model. RESULTS AND CONCLUSION: The findings underscore the involvement of mitophagy in the pathobiology of PAH and identify five macrophage-associated biomarkers with strong diagnostic potential. These results may inform future strategies aimed at early detection and targeted therapeutic interventions in PAH.
Mitophagy-associated biomarkers and macrophage involvement in pulmonary arterial hypertension: identification and functional implications.
线粒体自噬相关生物标志物和巨噬细胞参与肺动脉高压:鉴定和功能意义。
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| 期刊: | Frontiers in Physiology | 影响因子: | 3.400 |
| 时间: | 2025 | 起止号: | 2025 Nov 5; 16:1673181 |
| doi: | 10.3389/fphys.2025.1673181 | 研究方向: | 细胞生物学 |
| 疾病类型: | 肺动脉高压 | 细胞类型: | 巨噬细胞 |
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