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A human skin explant model for predicting graft-versus-host disease following bone marrow transplantation

Lookup NU author(s): Professor Anne Dickinson


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Graft-versus-host disease (GVHD) is the most serious complication following bone marrow transplantation, with an incidence of 40-60%. The disease can be fatal in 50% of cases, even in patients receiving marrow from an HLA identical sibling. Several assays have been developed to try to predict the development of GVHD, including mixed lymphocyte culture reaction, cytotoxic T lymphocyte precursor, and helper T lymphocyte precursor frequency assays. This review describes an in vitro skin explant model which has been used since 1988 for both predicting acute GVHD in HLA identical sibling bone marrow transplantation and studying the pathophysiology of the disease. The model involves sensitising donor lymphocytes in vitro in a primary mixed lymphocyte reaction and then evaluating the secondary response on patient skin biopsies by grading the graft-versus-host reactivity (grades I-IV) histopathologically. From analysis of collective data the model is a clear predictor of GVHD and superior to the other assays widely used, with a correlation of 82% with clinical outcome. The skin explant model allows the investigator to study the pathogenesis of GVHD. The cytokines TNFα and IFNγ are shown to be important mediators of cellular damage in graft-versus-host reactions. Recent work has also involved using the model to study the alloreactivity of cord blood. The model is currently being assessed in several bone marrow transplantation centres in Europe on different patient groups including those who receive marrow from haploidentical and matched unrelated donors.

Publication metadata

Author(s): Sviland L, Dickinson AM

Publication type: Review

Publication status: Published

Journal: Journal of Clinical Pathology

Year: 1999

Volume: 52

Issue: 12

Pages: 910-913

Print publication date: 01/12/1999

ISSN (print): 0021-9746

ISSN (electronic): 1472-4146


DOI: 10.1136/jcp.52.12.910

PubMed id: 10711254