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NCT Number: NCT07243964

Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation

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).

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

About this study

ALAD predominantly occurs in the early post-transplant period. This project aims to establish a systematic framework for monitoring and predicting post-lung transplant dysfunction, with a specific focus on acute lung allograft dysfunction (ALAD) and its progression to chronic lung allograft dysfunction (CLAD). We plan to conduct a prospective, multicenter clinical cohort study, longitudinally collecting peripheral blood and bronchoalveolar lavage fluid (BALF) samples from transplant recipients at various time points. By integrating multi-omics technologies-including cfDNA fragmentomics, peripheral blood single-cell sequencing, and proteomic mass spectrometry-with pulmonary function (FEV1) and clinicopathological data, we seek to delineate the dynamic landscape of post-lung transplant dysfunction. Compared to previous studies that relied on single indicators or one-time measurements, this project is distinguished by several key features: Firstly, the use of cfDNA fragmentomic characteristics to infer tissue origin, enabling highly specific detection of graft injury without requiring donor genotype information. Secondly, the integration of single-cell transcriptomics to comprehensively analyze the dynamics of peripheral immune cell subsets, providing a basis for early immunological warning of dysfunction. Thirdly, the application of proteomics to reveal expression levels, post-translational modifications, and protein-protein interactions in plasma samples. Fourthly, the construction of a multi-dimensional integrated model incorporating blood, BALF, and pulmonary function data, with the goal of establishing a generalizable early warning system. Through this research, we aim not only to enhance the early identification and intervention of ALAD but also to lay the foundation for elucidating the molecular mechanisms underlying CLAD development and exploring potential therapeutic targets.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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.

Exclusion criteria

  • 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 .

Treatment and study plan

longitudinal changes in multi-omics profiling of peripheral blood

Other

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.

Primary outcomes

  1. Incidence of ALAD

    Time frame: through study completion, an average of 1 year

Study contacts

Contact information is provided by the study sponsor or research team.

Sponsors and collaborators

Lead sponsor

Chang Chen

Other

Registry information

Official study title

Multi-Omics-Based Prediction of Allograft Dysfunction After Lung Transplantation: A Prospective, Multicenter Cohort Study

Important dates

Study start
2025
Primary completion
2029
Study completion
2030
First posted
Nov 24, 2025
Registry last updated
Nov 24, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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