The Major Histocompatibility Complex (MHC) class I chain related (MIC) A and B genes are important additional loci within the MHC. We have developed a MICA and MICB typing system using the polymerase chain reaction with sequence-specific primers (PCR-SSP), which operates under the same conditions as our routine HLA-A, -B, and -C typing method. We designed 95 primers in 84 SSP mixtures for MICA and 39 primers in 29 mixtures for MICB. This detected and differentiated all 55 MICA and 19 MICB alleles (except MICA*00701 from MICA*026, MICA*00201 from MICA*020, and three MICB alleles, which are intronic variations). A computer program confirmed the MICA amplification reactivity of each SSP mixture and evaluated the typing set for MICA allele combination ambiguities. Seventy-six "reference" DNA samples were used for validation: 50 from International Histocompatibility Workshop B lymphoblastoid cell lines (IHW BCLs) and 26 MICA-typed samples from two laboratories. The reference material identified 28 out of the 55 MICA alleles and 13 of the 19 MICB alleles, and directly validated 62 of the 84 MICA and 20 of the 29 MICB SSP mixtures. Our genotyping agreed with 283 out of the 286 (98.95%) MICA and MICB reference laboratories' allele assignments or the consensus assignments. Two of the discrepancies remain unresolved, whereas one was probably due to a reference laboratory's failure to differentiate alleles differing in exon 5 of the MICA gene. A comparison of the MICA and MICB allele assignments between laboratories identified a "disagreement rate" of 19.4% for MICA alleles and 13.1% for MICB alleles. Accordingly, we have compiled "consensus" MICA and MICB genotypes for the 50 IHW BCLs tested, which have been confirmed by our typing. We also typed 166 random blood donors. Their MICA and MICB carriage and allele frequencies and HLA-B, MICA, MICB linkage disequilibrium parameters and haplotype frequencies largely concurred with other published data on United Kingdom subjects, further supporting the validity of our typing system. This PCR-SSP system is a simple, reliable and rapid technique for typing MICA and MICB alleles. It is easily updated as new alleles are identified but clearly requires a continuing validation review until all known MICA and MICB alleles have been identified.

HighlightsPretransplant DSA have a deleterious impact on graft survival only in the presence of high pretransplant serum levels of sCD30.The majority of patients with pretransplant DSA might be transplanted safely without special pretreatment measures.Kidney transplantation in the presence of donor-specific HLA antibodies (DSA) is associated with a high failure rate due to antibody-mediated rejection. Many centers avoid transplantations if DSA are present. Others perform such transplantations after removal of DSA by apheresis under potent immunosuppression.We provide strong evidence that DSA positive recipients reject their grafts at a high rate only if the immune activation marker sCD30 is also high, suggesting that T-cell help from an activated immune system is necessary for pretransplant DSA to exert a deleterious effect on the graft.High-risk patients with DSA and sCD30 may benefit from special treatment measures. The presence of DSA alone may not be deleterious.

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The Welsh Transplantation and Immunogenetics Laboratory (WTAIL) is responsible for managing patient work-up for haematopoietic stem cell transplantation (HSCT), the only potentially curative option for many haematological and non-haematological conditions. Work-up requires regular communication between WTAIL and the transplanting clinicians, facilitated by weekly multidisciplinary team (MDT) meetings, to agree decisions and proceed through each work-up stage. Effective communication and minimising error are critical, as transplanting cells from a suboptimal donor could have severe or fatal consequences for the patient. We reviewed our HSCT patient management and identified issues including staff dissatisfaction with the inefficiency of the current (paper-based) system and concern about the potential for incidents caused by errors in manual transcription of patient information and tracking clinical decisions. Another driver for change was the COVID-19 pandemic, which prevented the usual face-to-face MDT meetings in which staff would show clinicians the paper records and reports; the shift to online MDT required new ways of sharing data. In this project we developed a new central reference point for our patient management data along with electronic patient summary sheets, designed with an eye to improving safety and efficiency. Over several improvement cycles we tested and refined the summary sheets with staff and clinicians and experimented with videoconferencing to facilitate data sharing. We conducted interviews with staff from which we concluded that the new process successfully reduced transcription and duplication and improved communication with the clinicians during the pandemic. Despite an increase in workload due to build-up of active patient work-up cases during the pandemic, staff reported that the new summaries enabled them to cope well. A key initiative was creation of a ‘Task and Finish’ group that helped establish continual improvement culture and identified additional areas for improvement which have been followed up in further improvement projects.

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