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Updated: May 22, 2026

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In Vitro and In Vivo Assessment of T, B and Myeloid Cells Suppressive Activity and Humoral Responses from Transplant Recipients
Published on: August 12, 2017
Gene expression signature in transplantation tolerance
Faouzi Braza1, Jean-Paul Soulillou, Sophie Brouard
1University of Nantes, Nantes, France. faouzi.braza@etu.univ-nantes.fr
Summary
Identifying operational tolerance in kidney transplant patients is crucial. Researchers are exploring gene expression profiling to find biomarkers for non-invasive monitoring of transplant tolerance.
Area of Science:
- Immunology
- Transplantation Medicine
- Genomics
Background:
- True immunological tolerance in human kidney transplantation is difficult to define and demonstrate.
- Clinical practice defines operational tolerance by stable graft function without immunosuppression.
- Operational tolerance is rare, often discovered incidentally in patients discontinuing immunosuppressive drugs.
Purpose of the Study:
- To identify biomarkers for detecting spontaneous operational tolerance in kidney transplant recipients under immunosuppression.
- To develop non-invasive methods for differentiating patients with specific tolerance profiles.
- To review current research on biomarkers for transplant monitoring.
Main Methods:
- Gene expression profiling using microarrays.
- Quantitative PCR (qPCR) for biomarker validation.
- Analysis of studies investigating novel transplant monitoring assays.
Main Results:
- Gene expression profiling shows promise in identifying potential biomarkers for operational tolerance.
- Quantitative PCR serves as a benchmark for validating novel transplant monitoring assays.
- Research is advancing towards non-invasive methods for assessing transplant tolerance.
Conclusions:
- Developing assays to identify operational tolerance is essential for personalized transplant management.
- Gene expression analysis offers a pathway to discover biomarkers for non-invasive monitoring.
- Further research is needed to validate and implement these biomarkers in clinical settings.
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