Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation
Recruiting now
Conditions studied: Lung Diseases
In brief
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).
Key facts
- Study ID
- NCT07243964
- Run by
- Chang Chen
- People needed
- 244
- Starts
- 2025-11-01
- Expected to finish
- 2030-03-01
- Last updated by the study team
- 2025-11-24
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Recipients aged ≥18 years undergoing single or double lung transplantation;
- Postoperative recipients capable of understanding and providing written informed consent, and willing to comply with scheduled follow-ups and sample collections as required by the study;
- Postoperative recipients clinically assessed as stable and eligible for routine follow-up and hematological examinations;
- Recipients able to undergo dynamic pulmonary function monitoring during follow-up;
- No planned participation in other interventional trials during the study period that may impact immune function or pulmonary function;
- Retransplant patients will be considered as a new transplant event and may be included in the analysis.
You may not qualify if…
- History of active malignancy or presence of untreated malignancy within 5 years prior to transplantation;
- Presence of active systemic infection or significant immune rejection;
- Female patients who are pregnant or lactating;
- Any other condition deemed by the investigator to be inappropriate for inclusion .
Where it is running
- Shanghai Pulmonary Hospital — Shanghai, China (enrolling)
Full record on ClinicalTrials.gov
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