[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100611698":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":12,"centralContacts":16,"locations":22,"responsibleParty":37,"collaborators":7,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":7,"eligibilityCriteria":47,"healthyVolunteers":43,"sex":48,"minAge":49,"maxAge":7,"enrollmentInfo":50,"targetDuration":53,"studyType":54,"phases":7,"briefSummary":55,"conditions":56,"keywords":7,"overallStatus":25,"whyStopped":7,"lastUpdateSubmitDate":58,"lastUpdatePostDateStruct":59,"startDateStruct":62,"completionDateStruct":64,"leadSponsor":66,"locationsCount":67},{"fullName":5,"class":6},"Shanghai Pulmonary Hospital, Shanghai, China","OTHER",null,[9],{"type":6,"name":10,"description":11,"armGroupLabels":7,"otherNames":7},"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.",[13],{"name":14,"affiliation":5,"role":15},"Chang Chen, MD,PHD","PRINCIPAL_INVESTIGATOR",[17],{"name":18,"role":19,"phone":20,"phoneExt":7,"email":21},"Junqi Wu","CONTACT","+8615618977421","wujunqi@tongji.edu.cn",[23],{"facility":24,"status":25,"city":26,"state":7,"zip":7,"country":27,"countryCode":28,"cosmosGeoPoint":29,"geoPoint":34,"contacts":35},"Shanghai Pulmonary Hospital","RECRUITING","Shanghai","China","CN",{"type":30,"coordinates":31},"Point",[32,33],121.45806,31.22222,{"lat":33,"lon":32},[36],{"name":18,"role":19,"phone":20,"phoneExt":7,"email":21},{"type":38,"investigatorFullName":39,"investigatorTitle":40,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"SPONSOR_INVESTIGATOR","Chang Chen","Professor","100611698","multi-omics-based-prediction-of-allograft-dysfunction-after-lung-transplantation-100611698",false,"NCT07243964","Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation","Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation: A Prospective, Multicenter Cohort Study","Inclusion Criteria:\n\n1. Recipients aged ≥18 years undergoing single or double lung transplantation;\n2. 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;\n3. Postoperative recipients clinically assessed as stable and eligible for routine follow-up and hematological examinations;\n4. Recipients able to undergo dynamic pulmonary function monitoring during follow-up;\n5. No planned participation in other interventional trials during the study period that may impact immune function or pulmonary function;\n6. Retransplant patients will be considered as a new transplant event and may be included in the analysis.\n\nExclusion Criteria:\n\n1. History of active malignancy or presence of untreated malignancy within 5 years prior to transplantation;\n2. Presence of active systemic infection or significant immune rejection;\n3. Female patients who are pregnant or lactating;\n4. Any other condition deemed by the investigator to be inappropriate for inclusion .","ALL","18 Years",{"count":51,"type":52},244,"ESTIMATED","2 Years","OBSERVATIONAL","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).",[57],"Lung Diseases","2025-11-21",{"date":60,"type":61},"2025-11-24","ACTUAL",{"date":63,"type":61},"2025-11-01",{"date":65,"type":52},"2030-03-01",{"name":39,"class":6},1]