Literature DB >> 10910275

Increased accuracy of renal allograft rejection diagnosis using combined perforin, granzyme B, and Fas ligand fine-needle aspiration immunocytology.

M D Pascoe1, S E Marshall, K I Welsh, L M Fulton, D A Hughes.   

Abstract

BACKGROUND: Two major routes by which cytotoxic T lymphocytes induce apoptosis in target cells are the perforin-granzyme and the Fas ligand/Fas pathways. Intragraft expression of message for these immune activation genes has been shown to correlate very closely with clinical rejection. We have immunolabeled fine-needle aspiration biopsy samples using a panel of cytotoxic T-cell activation markers to evaluate the immunocytochemical identification of the protein products of these genes in the verification of human renal allograft rejection.
METHODS: In this retrospective pilot study, 140 fine-needle aspiration biopsy samples from 50 human renal allografts were labeled using alkaline phosphatase/ anti-alkaline phosphatase immunocytochemistry incorporating monoclonal antibodies to perforin, granzyme B, and Fas ligand. Levels of positive labeling for these markers were compared with the original clinical diagnosis of rejection.
RESULTS: An excellent correlation with clinical rejection was obtained when all three antibodies were positive. The false positive rate for each antibody was sufficient to make any one alone or in combination with one other unreliable for diagnosing rejection. When all three antibodies gave positive labeling, agreement with clinical rejection status was superior to using conventional morphological cytology.
CONCLUSIONS: In addition to providing valuable morphological information regarding the composition of inflammatory leukocyte populations and the preservation status of renal parenchymal cells, fine-needle aspiration biopsy samples may be labeled using combined perforin, granzyme B, and Fas ligand immunocytochemistry to offer a safe and reliable method for diagnosing rejection with an excellent level of accuracy.

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Year:  2000        PMID: 10910275     DOI: 10.1097/00007890-200006270-00013

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  7 in total

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Journal:  Chest       Date:  2010-06-03       Impact factor: 9.410

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Authors:  Wataru Oboshi; Toru Watanabe; Keisuke Hayashi; Takehiro Nakamura; Nobuyasu Yukimasa
Journal:  Immunogenetics       Date:  2017-06-26       Impact factor: 2.846

3.  A triple-mutated allele of granzyme B incapable of inducing apoptosis.

Authors:  Dorian McIlroy; Pierre-François Cartron; Pierre Tuffery; Yasmine Dudoit; Assia Samri; Brigitte Autran; François M Vallette; Patrice Debré; Ioannis Theodorou
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-19       Impact factor: 11.205

Review 4.  Perforin: An intriguing protein in allograft rejection immunology (Review).

Authors:  Ana-Maria Pașatu-Cornea; Elena Ciciu; Liliana-Ana Tuță
Journal:  Exp Ther Med       Date:  2022-06-15       Impact factor: 2.751

5.  Genotypic variation and phenotypic characterization of granzyme B gene polymorphisms.

Authors:  Diana M Girnita; Steven A Webber; Maria M Brooks; Robert Ferrell; Alin L Girnita; Gilbert J Burckart; Richard Chinnock; Charles Canter; Linda Addonizio; Daniel Bernstein; James K Kirklin; David Naftel; Adriana Zeevi
Journal:  Transplantation       Date:  2009-06-27       Impact factor: 4.939

6.  Genetic variants of human granzyme B predict transplant outcomes after HLA matched unrelated bone marrow transplantation for myeloid malignancies.

Authors:  Luis J Espinoza; Akiyoshi Takami; Katsuya Nakata; Kayoko Yamada; Makoto Onizuka; Takakazu Kawase; Hiroshi Sao; Hideki Akiyama; Koichi Miyamura; Shinichiro Okamoto; Masami Inoue; Takahiro Fukuda; Yasuo Morishima; Yoshihisa Kodera; Shinji Nakao
Journal:  PLoS One       Date:  2011-08-23       Impact factor: 3.240

7.  Non-invasive messenger RNA transcriptional evaluation in human kidney allograft dysfunction.

Authors:  G Joelsons; T Domenico; L F Gonçalves; R C Manfro
Journal:  Braz J Med Biol Res       Date:  2018-05-17       Impact factor: 2.590

  7 in total

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