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Objective Prenatal and postnatal RhD prophylaxis reduces the risk of RhD immunization in pregnancies of RhDnegative women. Based on the result from prenatal screening for the fetal RHD gene, prenatal RhD prophylaxis in Denmark is targeted to RhD-negative women who carry an RhD-positive fetus. Here, we present a 2-year evaluation of a nationwide prenatal RHD screening. Methods Blood samples were drawn from RhD-negative women in gestational week 25. DNA was extracted from maternal plasma and analyzed for the RHD gene. The prenatal RHD results were compared with the serological typing of newborns in 12,668 pregnancies. Early compliance was assessed for 690 pregnancies. Results The sensitivity for the detection of fetal RHD was 99.9% (95% CI: 99.7–99.9%). Unnecessary recommendation of prenatal RhD prophylaxis was avoided in 97.3% of the women carrying an RhD-negative fetus. Fetuses that were seropositive for RhD were not detected in 11 pregnancies (0.087%). The sample uptake percentage was 84.2%, and the compliance for prenatal anti-D administration was 93.2%. Conclusion The high sensitivity, maintained over 2years, underlines the reliability of routine prenatal fetal RHD screening in RhD-negative pregnant women, specifically at 25weeks of gestation. The remaining challenges are logistical and are related to program compliance. © 2014 John Wiley & Sons, Ltd.

In this study, we report a novel real time polymerase chain reaction (Q-PCR) method using TaqMan probes for human neutrophil antigens (HNA)-1, -3, -4, and -5 genotyping. The method was validated in a Caucasian Danish population, a Zambian population, and in clinical samples using three different methods: an in-house polymerase chain reaction with sequence-specific primers (PCR-SSP) method, a commercial available PCR-SSP kit and a novel Q-PCR method. We observed no discrepancy in the genotype frequencies determined by the PCR-SSP methods and the TaqMan assay in the populations studied. In tests of a family of Nigerian origin and in samples carrying the rare SLC44A2*1:2 genotype, different results were produced by the commercial PCR-SSP kit and the real-time TaqMan assay. The TaqMan-based genotyping method was rapid and reproducible, allowing high-throughput HNA-1, -3, -4, and -5 genotyping.

Background Cryopreservation is an acknowledged procedure to store vital cells for future biomarker analyses. Few studies, however, have analyzed the impact of the cryopreservation on phenotyping. Methods We have performed a controlled comparison of cryopreserved and fresh cellular aliquots prepared from individual healthy donors. We studied circulating B-cell subset membrane markers and global gene expression, respectively by multiparametric flow cytometry and microarray data. Extensive statistical analysis of the generated data tested the concept that “overall, there are no phenotypic differences between cryopreserved and fresh B-cell subsets.” Subsequently, we performed an uncontrolled comparison of tonsil tissue samples. Results By multiparametric flow analysis, we documented no significant changes following cryopreservation of subset frequencies or membrane intensity for the differentiation markers CD19, CD20, CD22, CD27, CD38, CD45, and CD200. By gene expression profiling following cryopreservation, across all samples, only 16 out of 18708 genes were significantly up or down regulated, including FOSB, KLF4, RBP7, ANXA1 or CLC, DEFA3, respectively. Implementation of cryopreserved tissue in our research program allowed us to present a performance analysis, by comparing cryopreserved and fresh tonsil tissue. As expected, phenotypic differences were identified, but to an extent that did not affect the performance of the cryopreserved tissue to generate specific B-cell subset associated gene signatures and assign subset phenotypes to independent tissue samples. Conclusions We have confirmed our working concept and illustrated the usefulness of vital cryopreserved cell suspensions for phenotypic studies of the normal B-cell hierarchy; however, storage procedures need to be delineated by tissue-specific comparative analysis. © 2014 International Clinical Cytometry Society