Evaluation of a protein microarray method for immuno-typing erythrocytes in whole blood

N. O'Looney, S. T. G. Burgess, M. C. Kwan, A. J. Ross, J. Robb, T. Forster, J. S. Beattie, P. Ghazal, J. Petrik, C. J. Campbell

Research output: Contribution to journalArticlepeer-review

Abstract

All donor blood samples must be tested pre-transfusion to determine the blood type of donor erythrocytes, based on the ABO typing system. Current methods of testing are well characterised, but require a number of processing steps prior to analysis. In addition, standard testing protocols require additional assays such as hepatitis C and HIV testing be performed separately. We describe and evaluate a protein microarray platform for ABO blood typing that has the potential to be a simple reliable high throughput method, with the added capability for the integration of other important pre-transfusion tests. Sixty seven donor blood samples were incubated on microarrays printed with multiple spotted replicates of blood type antigen specific antibodies. We utilised a hold-out cross validation approach, combined with Receiver Operator Characteristic (ROC) curves to define thresholds within which a sample could be defined as being of a particular blood type. The threshold values from the ROC curve analysis demonstrated an excellent ability to accurately separate samples based on ABO blood type. The results obtained when the thresholds from the training sets were applied to test sets were also very encouraging, with misclassified samples being present in only 2 of the training sets and a mean classification error of 4.28%. When the mean thresholds were applied to the 67 donor samples, 95.5% were correctly blood typed (64 of 67 samples). We have demonstrated the ability of our protein microarray platform to successfully and accurately type human whole blood samples. We believe that this flexible platform provides a strong basis for an integrated approach for combined blood typing and pathogen testing in human whole blood.
Original languageEnglish
Pages (from-to)197-209
Number of pages13
JournalJournal of Immunoassay and Immunochemistry
Volume29
Issue number2
DOIs
Publication statusPublished - 2008

Keywords / Materials (for Non-textual outputs)

  • Microarray
  • Protein
  • Clinical
  • ELISA
  • Phenotype
  • Erythrocyte

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