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Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation
Sponsor: Chang Chen
Summary
By establishing a prospective, multicenter lung transplantation clinical cohort, this study aims to systematically evaluate the utility of cfDNA fragmentomics, peripheral blood single-cell sequencing, and proteomics in monitoring and predicting graft dysfunction after lung transplantation, and to develop a multi-omics predictive model for early identification, dynamic monitoring, and mechanistic investigation of acute lung allograft dysfunction (ALAD) and chronic lung allograft dysfunction (CLAD).
Official title: Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation: A Prospective, Multicenter Cohort Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
244
Start Date
2025-11-01
Completion Date
2030-03-01
Last Updated
2025-11-24
Healthy Volunteers
Not specified
Conditions
Interventions
longitudinal changes in multi-omics profiling of peripheral blood
This study investigates the associations between longitudinal changes in multi-omics profiling of peripheral blood-including cell-free DNA, single-cell transcriptomics, proteomics, and metabolomics-and the development of acute lung allograft dysfunction(ALAD) and chronic lung allograft dysfunction(CLAD) in lung transplant recipients at various postoperative time points.
Locations (1)
Shanghai Pulmonary Hospital
Shanghai, China