Identification of Biomarkers for Right Ventricular Dysfunction in Idiopathic Dilated Cardiomyopathy Via Urinary Proteomics and Machine Learning
The urinary proteomic panel developed in this study demonstrates diagnostic and prognostic potential for identifying RVD in idiopathic dilated cardiomyopathy, providing a promising noninvasive tool for precise detection and clinical risk stratification.
Authors
- Xiaoxiao Guo (ORCID: https://orcid.org/0000-0002-8583-5992)
- Yuhan Qin (ORCID: https://orcid.org/0000-0002-7768-4696)
- Jing Zhang (ORCID: https://orcid.org/0000-0002-4082-1976)
- Anhu Wu (ORCID: https://orcid.org/0000-0002-8529-2764)
- Xiaohan Qin (ORCID: https://orcid.org/0000-0001-6895-4191)
- Zhengguang Guo (ORCID: https://orcid.org/0000-0002-5983-7759)
- Keyi Mei (ORCID: https://orcid.org/0000-0001-5208-710X)
- Yufei Wang (ORCID: https://orcid.org/0009-0002-5685-6580)
- Jiaqi Yu (ORCID: https://orcid.org/0009-0001-6537-5247)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2025-12-17
- DOI
- https://doi.org/10.1161/jaha.125.044254
- Primary Topic
- Pulmonary Hypertension Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00