AI Article Synopsis
- This study explored high-resolution melting (HRM) analysis as a method for red cell genotyping, aiming to predict extended blood group phenotypes in Thai donors and patients.* -
- Blood samples from 300 donors and 23 patients were tested, and the HRM method showed complete agreement with existing genotyping methods like DNA sequencing and serological testing, with 100% sensitivity and specificity.* -
- The successful implementation of HRM analysis can enhance transfusion care in Thailand by helping identify matched donors and reduce the risk of alloimmunization in patients.*
Article Abstract
Background: High-resolution melting (HRM) analysis is an alternative method for red cell genotyping. Differences in melting curves between homozygous and heterozygous genotypes can predict phenotypes in blood group systems based on single-nucleotide polymorphisms. This study aimed to implement HRM analysis to predict additional extended blood group phenotypes in Thai donor and patient populations.
Methods: Blood samples obtained from 300 unrelated Thai blood donors and 23 patients with chronic transfusions were included. HRM analysis was developed and validated in genotyping of * and *, * and *, *, *, and *, * and *, * and *, * and * and * and * Then genotyping results from HRM and polymerase chain reaction with sequence-specific primer (PCR-SSP) and phenotyping results were compared.
Results: The validated genotyping results in known DNA controls by HRM analysis agreed with DNA sequencing. The genotyping results among 300 donors in 15 alleles by HRM analysis were in complete concordance with those obtained by serological testing and PCR-SSP. The sensitivity and specificity of the HRM assay were both 100%. Among patients, 13 had alloantibodies that possessed predicted antigen-negative phenotypes corresponding to those antibody specificities, and the highest probability of genotyped-matched donors was given to the remaining patients.
Conclusions: We developed and implemented the HRM analysis assay for red cell genotyping to predict extended blood group antigens in Thai donor and patient populations. The data from this study may help inform about and support transfusion care of Thai patients to reduce the risk of alloimmunisation.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210014 | PMC |
| http://dx.doi.org/10.1159/000520713 | DOI Listing |
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