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Mouse Kidney Transplantation: Models of Allograft Rejection
Published on: October 11, 2014
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Biopsy-Based Transcriptomics Support Rejection Monitoring Through Repeated Kidney Allograft Biopsies.
Lukas Weidmann1, Dusan Harmacek1, Ariana Gaspert2
1Division of Nephrology, University Hospital of Zurich, Switzerland.
Kidney International Reports
|July 18, 2025
Summary
Biopsy transcriptomics detects early kidney transplant rejection signals missed by histology, even after treatment. This molecular approach monitors rejection progression and treatment effectiveness in kidney allografts.
Area of Science:
- Nephrology
- Transplant immunology
- Genomics
Background:
- Kidney allograft biopsies are crucial for diagnosing rejection.
- Histopathology may miss subthreshold rejection signals or treatment responses.
Purpose of the Study:
- To evaluate biopsy-based transcriptomics for detecting rejection in kidney allografts.
- To assess transcriptomics' ability to monitor treatment response and rejection phenotyping.
Main Methods:
- Analysis of 80 kidney allograft biopsy series (baseline and follow-up).
- Assessment using histopathology (Banff classification) and Molecular Microscope Diagnostic System (MMDx).
Main Results:
- Baseline biopsies showed significant molecular rejection (55% confirmation).
- Follow-up biopsies detected histological rejection in 36% of previously "rejection-free" cases.
- Transcriptomics identified higher rejection and AMR probabilities in cases progressing to rejection.
- Molecular and histological scores improved in treated mixed AMR/TCMR cases, with varied outcomes.
Conclusions:
- Biopsy transcriptomics detects molecular signals of rejection missed by histology.
- Transcriptomics serves as a monitoring tool for antirejection treatment effectiveness.
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