文献类型：期刊文献

英文题名：Platelet gene signatures detecting pulmonary artery stenosis in patients with pulmonary hypertension

作者：Jin, Junhao[1,2];Su, Hongling[3];Wan, Zunmin[4];Zhao, Yating[1,5];Zhao, Hongfan[1,2];Tang, Aiping[6];Ma, Ya[6];Liu, Huan[6];Gao, Tongtong[6];Ma, Like[6];Wang, Aqian[3];Li, Bo[3];Jiang, Kaiyu[3];Zhang, Fu[3];Zhang, Yunhe[1];Jiang, Mei[1];Zhang, Chenxi[7];Zhang, Min[8];Cao, Yunshan[1]

第一作者：Jin, Junhao

通信作者：Cao, YS[1];Zhang, CX[2];Zhang, M[3]

机构：[1]Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Heart Lung & Vessels Ctr, Chengdu, Peoples R China;[2]Lanzhou Univ, Sch Clin Med 1, Lanzhou, Peoples R China;[3]Gansu Prov Hosp, Pulm Vasc Dis Ctr, Dept Cardiol, Lanzhou, Peoples R China;[4]Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Genome Sequencing Ctr, Sch Med,Sichuan Prov Key Lab Human Dis Gene Study, Chengdu, Peoples R China;[5]Jiangsu Univ, Sch Med, Zhenjiang, Peoples R China;[6]Gansu Univ Chinese Med, Clin Med Sch 1, Lanzhou, Peoples R China;[7]Nanjing Med Univ, Nanjing Chest Hosp, Affiliated Nanjing Brain Hosp, Cent Lab, Nanjing, Peoples R China;[8]Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Clin Res Ctr, Chengdu, Peoples R China

第一机构：Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Heart Lung & Vessels Ctr, Chengdu, Peoples R China

通信机构：[1]corresponding author), Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Heart Lung & Vessels Ctr, Chengdu, Peoples R China;[2]corresponding author), Nanjing Med Univ, Nanjing Chest Hosp, Affiliated Nanjing Brain Hosp, Cent Lab, Nanjing, Peoples R China;[3]corresponding author), Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Clin Res Ctr, Chengdu, Peoples R China.

年份：2026

卷号：21

期号：1

外文期刊名：ORPHANET JOURNAL OF RARE DISEASES

收录：;Scopus(收录号：2-s2.0-105036499989);WOS:【SCI-EXPANDED(收录号:WOS:001746754400001)】；

基金：This work was supported by the Joint Funds of the Natural Science Foundation of Gansu Province (no. 23JRRA1544), Lanzhou Science and Technology Program of Gansu Province of China (no. LX-62000001-2022-090), and Hospital fund of Gansu Provincial Hospital (no. 22GSSYD-21 and no. 22GSSYD-22).

语种：英文

外文关键词：Pulmonary hypertension; Pulmonary artery stenosis; Biomarkers; Blood platelets

摘要：Background Pulmonary artery stenosis (PAS) is a major cause of pulmonary hypertension (PH). The advancement of non-invasive biomarkers to identify PAS in high-risk individuals has the potential to enhance the precision of clinical evaluations related to PH. This study aimed to present evidence that gene expression data within blood platelets could be valuable for detecting PAS in patients with PH
Methods Platelets were isolated from 241 PH patients and 98 healthy controls for RNA sequencing. Differentially expressed genes (DEGs) were identified between PAS and non-PAS, and between chronic thromboembolic pulmonary hypertension (CTEPH) and PH caused by fibrosing mediastinitis (FM-PH). Three machine learning algorithms-random forest (RF), extreme gradient boosting (XGBoost), and Boruta were applied to select platelet genes of discriminative capability. Genes identified by all three algorithms were used for subsequent model construction. Fourteen predictive models were trained and validated using repeated fivefold cross-validation. Functional enrichment and gene set enrichment analyses (GSEA) were performed.
Results Compared with the non-PAS group, PH patients with PAS exhibited 244 upregulated and 1,051 downregulated genes in platelets. GSEA revealed upregulation of pathways including platelet activation, fluid shear stress and atherosclerosis, and Rapl signaling, alongside downregulation of PI3K-Akt and mTOR signaling in patients with PAS. Six platelet RNAs were identified by RF, XGBoost, and Boruta for differentiating PAS from non-PAS. The RF model, with NOTCHI contributing most significantly (highest mean decrease in Gini index), achieved the highest area under the curves (AUCs) of 0.946, 0.862, and 0.749 in the training, internal, and external validation sets, respectively. Within PAS, 669 genes were upregulated and 697 downregulated in CTEPH versus FM-PH. Pathways including vascular smooth muscle contraction and blood vessel remodeling were positively enriched in platelets from patients with CTEPH compared to FM-PH. Two genes, PPP1CA and MAPRE 1, were shared across all three feature selection algorithms for discriminating between CTEPH and FM-PH The RF model based on these genes achieved the highest AUCs of 0.960, 0.925, and 0.961 across the training, internal, and external validation sets.
Conclusions Platelet-derived biomarkers are potentially useful in identifying PAS and differentiating its subtypes in individuals with PH