Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation
NCT07243964 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 244
Last updated 2025-11-24
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).
Conditions
- Lung Diseases
Interventions
- OTHER
-
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.
Sponsors & Collaborators
-
Chang Chen
lead OTHER
Principal Investigators
-
Chang Chen, MD,PHD · Shanghai Pulmonary Hospital, Shanghai, China
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-11-01
- Primary Completion
- 2029-12-31
- Completion
- 2030-03-01
Countries
- China
Study Locations
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