Citations

Discovery of a novel HLA‐B*45:22 allele in a Middle Eastern heart and lung transplant candidate.

A new allele, now named HLA‐C*02:138, was discovered during testing of a registry donor for possible stem cell transplantation.

Phased sequencing identified the HLA‐C*07:607 allele in an African‐American patient and sibling donor.

AbstractBackground and objectivesThe risk of de novo donor‐specific antibody (dnDSA) development following BK viremia (BKV) or nephropathy (BKN) after kidney transplant remains unclear. We aimed to evaluate the relationships among dnDSA, BKV (BK blood PCR > 15 000 copies), BKN, antibody‐mediated rejection (AMR), and allograft loss.Patients and methodsWe performed a retrospective cohort study of 904 solitary kidney transplant recipients transplanted between 10/2007 and 5/2014. Cox proportional hazards regression with time‐dependent covariates were used to assess the relationships among BKN, isolated BKV, dnDSA, and the subsequent risk of AMR and allograft loss.ResultsIn multivariate analysis, we observed that BKN, but not BKV was a risk factor for dnDSA (HR, 3.18, P = .008). Of the patients with BK nephropathy, 14.0% (6/43) developed dnDSA, which occurred within 14 months of BK diagnosis. DnDSA in this setting remains a risk factor for subsequent AMR (HR 4.75, P = .0001) and allograft loss (HR 2.63, P = .018).ConclusionsBKN is an independent risk factor for development of dnDSA. Improved understanding of the characteristics of patients with BKN who are at highest risk for development of dnDSA would be valuable to customize immunosuppression reduction in this population.

BACKGROUND Platelet transfusion–refractoriness is a challenging and expensive clinical scenario seen most often in patients with hematologic malignancies. Although the majority of platelet transfusion–refractory cases are due to nonimmune causes, a significant minority are caused by alloimmunization against Class I human leukocyte antigens (HLAs) or human platelet antigens (HPAs). Such platelet transfusion–refractory patients can be effectively managed with appropriate antigen‐negative products. STUDY DESIGN AND METHODS Our institution has developed a diagnostic and management algorithm for the platelet transfusion–refractory patient with an early focus on identifying those cases caused by immune‐mediated factors. Using physical platelet cross‐matches to initially classify platelet transfusion–refractory patients as immune‐mediated or not, cross‐match–compatible inventory is then provided to immune‐mediated patients, whereas subsequent HLA (with or without HPA) testing is performed. RESULTS Our blood donor program performs Class I HLA typing of all repeat platelet donors to facilitate the identification of antigen‐negative platelet units (virtual cross‐matching) as well as the recruitment of HLA‐matched donors. The platelet transfusion–refractoriness algorithm realizes an initial net cost savings once two apheresis platelets are saved from use for each newly identified, immune‐mediated platelet transfusion–refractory patient. CONCLUSION An algorithm utilizing physical platelet cross‐matches, Class I HLA and HPA antibody testing, and upfront Class I HLA typing of platelet donors leads to overall resource savings and improved clinical management for platelet transfusion–refractory patients.

SummaryBackgroundTissue transglutaminase (tTG) immunoglobulin A (IgA) testing is a sensitive adjunct to the diagnosis of coeliac disease. The threshold for positivity was developed for diagnosis, with negative results reported as below the reference value (<4 U/mL).AimTo investigate if an undetectable (tTG IgA<1.2 U/mL) is more predictive of healing compared to patients with negative but detectable serology (1.2‐3.9 U/mL).MethodsWe performed a retrospective study of 402 treated coeliac disease patients seen at the Mayo Clinic with negative tTG IgA values drawn within 1 month of duodenal biopsy between January 2009 and December 2015. The Corazza‐Villanacci score was used to assess mucosal healing. The presence of gastrointestinal symptoms was also collected. Logistic regression was used to assess the relationship of clinical variables with a normal biopsy.ResultsPatients with undetectable titres more frequently had normal duodenal histology compared to patients with detectable tTG IgA levels (117/240 vs. 53/162; OR=1.96; 1.292, 2.961). Asymptomatic patients more frequently had normal duodenum as compared to symptomatic patients (88/163 vs. 82/239; OR=2.25; CI: 1.494, 3.377). Patients with undetectable serology and on a gluten‐free diet for ≥2 years were more likely to have no villous atrophy compared to patients with detectable serology (148/192 vs. 55/88; OR=2.02; CI: 1.17, 3.49).ConclusionIn subjects recovering from coeliac disease with negative tTG IgA serology, an undetectable titre is associated with normal histology on follow‐up biopsy.

AbstractObjectiveHLA‐DPB1 matching may impact allogeneic hematopoietic stem cell transplantation (ASCT) outcomes; however, this locus is not in linkage disequilibrium with the remainder of the HLA genes. After classifying HLA‐DPB1 mismatches based on T‐cell epitope, avoiding non‐permissive mismatches may impact survival. We tested this hypothesis at a single academic institution.MethodsRetrospective HLA‐DPB1 genotyping was performed on 153 adult patients who underwent ASCT and unrelated donors matched for HLA‐A, B, C, DRB1, and DQB1 loci (10/10). Using the ImMunoGeneTics/HLA T‐cell epitope matching algorithm, mismatch status was classified as permissive or non‐permissive.ResultsOf 153 donor‐recipient pairs, 22 (14.4%) were HLA‐DPB1 matches, 64 (42.8%) permissive mismatches, and 67 (43.8%) non‐permissive mismatches. DPB1 mismatch increased risk of chronic graft‐versus‐host disease (cGVHD; RR 2.89 [1.19‐9.53], P=.016) compared with DPB1‐matched transplants, but there were no differences in overall mortality, risk of relapse, or acute GVHD (aGVHD). Combining matches and permissive mismatches and comparing to non‐permissive mismatches, there was no significant difference in overall survival or relapse; however, patients receiving non‐permissive mismatched transplants experienced greater risk of aGVHD overall and severe aGVHD (RR 1.66 [1.13‐2.44], P=.010 and RR 1.97 [1.10‐3.59], P=.024, respectively).ConclusionIn this single‐center study, HLA‐DPB1 matching influenced outcomes of patients undergoing ASCT for hematologic malignancy.

Context.— Numerous feasibility studies to type human leukocyte antigens (HLAs) by next-generation sequencing (NGS) have led to the development of vendor-supported kits for HLA typing by NGS. Some clinical laboratories have introduced HLA-NGS, and many are investigating the introduction. Standards from accrediting agencies form the regulatory framework for introducing this test into clinical laboratories. Objectives.— To provide an assessment of metrics and considerations relevant to the successful implementation of clinical HLA-NGS typing, and to provide as a reference a validated HLA-NGS protocol used clinically since December 2013 at the Children's Hospital of Philadelphia (Philadelphia, Pennsylvania). Data Sources.— The HLA-NGS has been performed on 2532 samples. The initial 1046 and all homozygous samples were also typed by an alternate method. The HLA-NGS demonstrated 99.7% concordance with the alternate method. Ambiguous results were most common at the DPB1 locus because of a lack of phasing between exons 2 and 3 or the unsequenced exon 1 (533 of 2954 alleles; 18.04%) and the DRB1 locus because of not sequencing exon 1 (75 of 3972 alleles; 1.89%). No ambiguities were detected among the other loci. Except for 2 false homozygous samples, all homozygous samples (1891) demonstrated concordance with the alternate method. The article is organized to address the critical elements in the preanalytic, analytic, and postanalytic phases of introducing this assay into the clinical laboratory. Conclusions.— The results demonstrate that HLA typing by NGS is a highly accurate, reproducible, efficient method that provides more-complete sequencing information for the length of the HLA gene and can be the single methodology for HLA typing in clinical immunogenetics laboratories.

AbstractThe Fenwal Alyx for collecting double red cell products has two red cell volume collection settings: fixed collection target of 360 ml (180 ml/unit) and a variable target of collecting either 400 or 360 ml (200 or 180 ml/unit), where the machine aims for the higher possible collection target. We retrospectively compared the two collection targets for the RBC content, donor time, technician time, and collection efficiency. We compared 18 fixed (F) target collections to 40 variable (V) target collections. All collections were performed as per the manufacturer's recommendations on Alyx and donors met the manufacturer's eligibility criteria. There was no significant difference in average whole blood processed (F: 963 ml, V: 1,000 ml); donor time (F: 43 min, V: 45 min) or technician time (F: 64 min, V: 64 min). There was a significant difference in unit volume (F: 283 ml, V: 300 ml); grams Hb/unit (F: 53 g, V: 57 g); ml RBC/unit (F: 157 ml, V: 167 ml); and RBC recovery (F: 87.8%, V: 88.9%). The fixed target had a significantly lower frequency of products with ≥51 g Hb (80.6%) than variable target (96.3%) and ≥153 ml RBC/unit (F: 55.6%, V: 96.3%). In conclusion, the variable target efficiently allows collections of products with higher red cell volume and hemoglobin without a significant increase in collection and processing time.