Evaluation of Platelet Alloimmunization by Filtration Enzyme-Linked Immunosorbent Assay

被引:0
|
作者
Chiueh, Tzong-Shi [1 ,2 ]
Wang, Hsin-Yao [1 ,3 ]
Wu, Min-Hsien [4 ]
Hsueh, Yu-Shan [1 ]
Chen, Hui-Chu [1 ]
机构
[1] Linkou Chang Gung Mem Hosp, Dept Lab Med, Taoyuan 333, Taiwan
[2] Chang Gung Univ, Sch Med, Taoyuan 333, Taiwan
[3] Chang Gung Univ, PhD Program Biomed Engn, Taoyuan 333, Taiwan
[4] Chang Gung Univ, Grad Inst Biochem & Biomed Engn, Taoyuan 333, Taiwan
关键词
antiplatelet antibody; fELISA; solid-phase red cell adherence test (SPRCA); BLOOD-CELL ALLOIMMUNIZATION; MULTITRANSFUSED PATIENTS; TRANSFUSION; ANTIBODIES; ANTIGENS; HLA; REFRACTORINESS; SELECTION; ALLOANTIBODIES; INCREMENTS;
D O I
10.3390/diagnostics13101704
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The current methods for detecting antiplatelet antibodies are mostly manual and laborintensive. 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 mu L 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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页数:11
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