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Lung DiseasesNCT07243964

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

An observational study of Lung Diseases, run by Chang Chen at 1 site in China.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
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Trial 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… Read more about this study

Who is it for?
Ages 18 years and older
Conditions the study is for
Lung Diseases
What is being tested?
longitudinal changes in multi-omics profiling of peripheral blood
How many people
244 participants
Where
1 siteChina
Study dates
1 Nov 2025to 1 Mar 2030
How long will I take part?
2 Years
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • Adult, Older adult

Study population: Recipients undergoing single or double lung transplantation

Who may be able to join

  • 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.

Who cannot join

  • 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 .

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

China1 site, 1 recruiting
  • Shanghai Pulmonary Hospital

    Shanghai

    Junqi Wu, +8615618977421, wujunqi@tongji.edu.cn

    Recruiting

Other trials in China

About this study

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

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).

Read the detailed description

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.

Conditions
Lung Diseases
Being tested
longitudinal changes in multi-omics profiling of peripheral blood
Medical subject headings
Lung Diseases

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • longitudinal changes in multi-omics profiling of peripheral bloodOther

    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.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Incidence of ALAD

    Measured: through study completion, an average of 1 year

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted24 Nov 2025
  2. Study start1 Nov 2025
  3. Primary completion31 Dec 2029 (estimated)
  4. Study completion1 Mar 2030 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
244 participants (estimated)
Target duration
2 Years
IDs, dates and publications
ClinicalTrials.gov ID
NCT07243964
Sponsor's protocol ID
L25-802
Status last verified
Oct 2025
First submitted
17 Nov 2025
Last updated
24 Nov 2025
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Lung Diseases, run by Chang Chen at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 6 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: looking for participants now, as of the sponsor's last update on 24 Nov 2025. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Junqi Wu (+8615618977421, wujunqi@tongji.edu.cn), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Incidence of ALAD (time frame: through study completion, an average of 1 year). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Nov 2025; AzTrials last refreshed its copy on 3 Nov 2026.

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