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Crossmatching on platelets by flow cytometry.

G X Wang, G Y Terashita, P I Terasaki

    Clinical Transplants
    |January 1, 1988
    PubMed
    Summary
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    Platelet crossmatching using the platelet-flow cytometry crossmatch (Pl-FCXM) is a sensitive method for detecting antibodies that could cause kidney transplant rejection. This technique improves upon T-cell crossmatch methods, enhancing patient outcomes.

    Area of Science:

    • Immunology
    • Transplantation
    • Nephrology

    Background:

    • Human Leukocyte Antigen (HLA) antigens are present on platelets and can be detected using standard lymphocyte typing antisera.
    • While a general correlation exists between serum reactivity against platelets and T cells, some Systemic Lupus Erythematosus (SLE) patients exhibit antibodies targeting T cells that show minimal reactivity with platelets, suggesting non-HLA autoantigens.

    Purpose of the Study:

    • To evaluate the efficacy of the platelet-flow cytometry crossmatch (Pl-FCXM) in detecting clinically relevant antibodies compared to conventional methods.
    • To determine if Pl-FCXM can predict kidney transplant outcomes.

    Main Methods:

    • Detection of HLA antigens on platelets using alloantisera.
    • Comparison of Pl-FCXM sensitivity and specificity against T-cell flow cytometry crossmatch (T-FCXM) and cytotoxic crossmatching techniques.

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  • Correlation of Pl-FCXM results with kidney transplant function at one month post-transplantation.
  • Main Results:

    • The Pl-FCXM demonstrated higher sensitivity and discrimination than T-FCXM in identifying deleterious antibodies.
    • A negative Pl-FCXM was associated with functioning kidneys in all 11 patients at one month.
    • Conversely, 7 out of 12 patients with a positive Pl-FCXM experienced nonfunctional kidneys at one month (p = 0.003).

    Conclusions:

    • The Pl-FCXM is a simple, sensitive, and effective crossmatching method for kidney transplantation.
    • Pl-FCXM offers an advantage over T-FCXM by reducing the rate of false positives.
    • This technique shows significant promise for improving pre-transplant antibody screening and predicting graft survival.