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Evaluation of Platelet Alloimmunization by Filtration Enzyme-Linked Immunosorbent Assay.
Chiueh, Tzong-Shi; Wang, Hsin-Yao; Wu, Min-Hsien; Hsueh, Yu-Shan; Chen, Hui-Chu.
Afiliação
  • Chiueh TS; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan City 333, Taiwan, China.
  • Wang HY; School of Medicine, Chang Gung University, Taoyuan City 333, Taiwan, China.
  • Wu MH; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan City 333, Taiwan, China.
  • Hsueh YS; PhD Program in Biomedical Engineering, Chang Gung University, Taoyuan City 333, Taiwan, China.
  • Chen HC; Graduate Institute of Biochemical and Biomedical Engineering, Chang Gung University, Taoyuan City 333, Taiwan, China.
Diagnostics (Basel) ; 13(10)2023 May 11.
Article em En | MEDLINE | ID: mdl-37238189
ABSTRACT
The current methods for detecting antiplatelet antibodies are mostly manual and labor-intensive. A convenient and rapid detection method is required for effectively detecting alloimmunization during platelet transfusion. In our study, to detect antiplatelet antibodies, positive and negative sera of random-donor antiplatelet antibodies were collected after completing a routine solid-phase red cell adherence test (SPRCA). Platelet concentrates from our random volunteer donors were also prepared using the ZZAP method and then used in a faster, significantly less labor-intensive process, a filtration enzyme-linked immunosorbent assay (fELISA), for detecting antibodies against platelet surface antigens. All fELISA chromogen intensities were processed using ImageJ software. By dividing the final chromogen intensity of each test serum with the background chromogen intensity of whole platelets, the reactivity ratios of fELISA can be used to differentiate positive SPRCA sera from negative sera. A sensitivity of 93.9% and a specificity of 93.3% were obtained for 50 µL of sera using fELISA. The area under the ROC curve reached 0.96 when comparing fELISA with the SPRCA test. We have successfully developed a rapid fELISA method for detecting antiplatelet antibodies.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China