Poor efficacy is one of the issues for clinical islet transplantation. Recently, we demonstrated that pancreatic ductal preservation significantly improved the success rate of islet isolation; however, two transplants were necessary to achieve insulin independence. In this study, we introduced iodixanol-based purification, thymoglobulin induction, and double blockage of IL-1β and TNF-α as well as sirolimus-free immunosuppression to improve the efficacy of clinical islet transplantation. Nine clinical-grade human pancreata were procured. Pancreatic ductal preservation was performed using ET-Kyoto solution in all cases. When the isolated islets met the clinical criteria, they were transplanted. We utilized two methods of immunosuppression and anti-inflammation. The first protocol prescribed daclizumab for induction, then sirolimus and tacrolimus to maintain immunosuppression. The second protocol used thymoglobulin for induction and tacrolimus and mycophenolate mofetil to maintain immunosuppression. Eternacept and anakinra were administered as anti-inflammatory drugs. The total amount of insulin required, HbA1c, and the SUITO index were determined to analyze and compare the results of transplantation. All isolated islet preparations (9/9) met the criteria for clinical transplantation, and they were transplanted into six type 1 diabetic patients. All patients achieved insulin independence with normal HbA1c levels; however, the first protocol required two islet infusions ( N = 3) and the second protocol only required a single infusion ( N = 3). The average SUITO index, at 1 month after a single-donor islet transplantation, was significantly higher in the second protocol (49.6 ± 8.3 vs. 19.3 ± 6.3, p < 0.05). Pancreatic ductal preservation, iodixanol-based purification combined with thymoglobulin induction, and blockage of IL-1β and TNF-α as well as sirolimus-free immunosuppression dramatically improved the efficacy of clinical islet transplantations. This protocol enabled us to perform successful single-donor islet transplantations. Further large-scale studies are necessary to confirm these results and clarify the mechanism of each component.

With the wide availability of massively parallel sequencing technologies, genetic mapping has become the rate limiting step in mammalian forward genetics. Here we introduce a method for real-time identification of N-ethyl-N-nitrosourea-induced mutations that cause phenotypes in mice. All mutations are identified by whole exome G1 progenitor sequencing and their zygosity is established in G2/G3 mice before phenotypic assessment. Quantitative and qualitative traits, including lethal effects, in single or multiple combined pedigrees are then analyzed with Linkage Analyzer, a software program that detects significant linkage between individual mutations and aberrant phenotypic scores and presents processed data as Manhattan plots. As multiple alleles of genes are acquired through mutagenesis, pooled “superpedigrees” are created to analyze the effects. Our method is distinguished from conventional forward genetic methods because it permits (1) unbiased declaration of mappable phenotypes, including those that are incompletely penetrant (2), automated identification of causative mutations concurrent with phenotypic screening, without the need to outcross mutant mice to another strain and backcross them, and (3) exclusion of genes not involved in phenotypes of interest. We validated our approach and Linkage Analyzer for the identification of 47 mutations in 45 previously known genes causative for adaptive immune phenotypes; our analysis also implicated 474 genes not previously associated with immune function. The method described here permits forward genetic analysis in mice, limited only by the rates of mutant production and screening. Significance In forward genetics, a mutagen is used to randomly induce germline mutations that cause variant phenotypes. Forward genetics permits discovery of genes necessary for biological phenomena, but identifying the mutations that cause variant phenotypes is time-consuming and in the past usually occurred long after the phenotype was first recognized. Here we introduce a method and software tool, Linkage Analyzer, for identifying causative mutations present in the germline of mutant mice concurrent with recognition of variant phenotypes. It requires knowledge of genotype at all mutation sites in members of a pedigree prior to phenotypic assessment. Using this method and software, forward genetic studies in mice are limited only by the rates of mutant production and screening.

Background: For transgender individuals taking hormone therapy (HT), data on laboratory values are limited, and the effects on laboratory values cannot be easily predicted. We evaluated the impact on common laboratory analytes in transgender individuals before and after initiation of HT. Methods: We conducted a retrospective chart review of transgender patients identified at transgender-specific clinics at an urban county hospital and community clinic. Laboratory data were collected on hormone concentrations, hematologic parameters, electrolytes, lipids, and liver and renal markers before and after initiation of HT. Results: We identified 183 transgender women (TW) and 119 transgender men (TM) for whom laboratory data were available. In all, 87 TW and 62 TM had baseline laboratory data, and data were also available for 133 TW and 89 TM on HT for >6 months. The most significant changes were seen in red blood cell count, hemoglobin concentration, hematocrit, and creatinine levels after >6 months of HT, which increased in TM and decreased in TW after HT (P < 0.005; d index > 0.6). Alkaline phosphatase, aspartate aminotransferase, and alanine aminotransferase levels increased in TM; however, the effect size was small (d index < 0.5). Calcium, albumin, and alkaline phosphatase levels significantly decreased in TW (P < 0.001; d > 0.6). Additionally, TM were found to have increased triglycerides and decreased HDL levels (P < 0.005; d > 0.6). Conclusions: Changes occur in several common laboratory parameters for patients on HT. Some laboratory values changed to match the gender identity, whereas others remained unchanged or were intermediate from the baseline values. These findings will help guide interpretation of laboratory test results in transgender patients taking HT.

Objectives: Initial reports indicate adequate performance of some serology-based severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) assays. However, additional studies are required to facilitate interpretation of results, including how antibody levels impact immunity and disease course. Methods: A total of 967 subjects were tested for IgG antibodies reactive to SARS-CoV-2, including 172 suspected cases of SARS-CoV-2, 656 plasma samples from healthy donors, 49 sera from patients with rheumatic disease, and 90 specimens from individuals positive for polymerase chain reaction (PCR)–based respiratory viral panel. A subgroup of SARS-CoV-2 PCR-positive cases was tested for IgM antibodies by proteome array method. Results: All specificity and cross-reactivity specimens were negative for SARS-CoV-2 IgG antibodies (0/795, 0%). Positive agreement of IgG with PCR was 83% of samples confirmed to be more than 14 days from symptom onset, with less than 100% sensitivity attributable to a case with severe immunosuppression. Virus-specific IgM was positive in a higher proportion of cases less than 3 days from symptom onset. No association was observed between mild and severe disease course with respect to IgG and IgM levels. Conclusions: The studied SARS-CoV-2 IgG assay had 100% specificity and no adverse cross-reactivity. Measures of IgG and IgM antibodies did not predict disease severity in our patient population.

Importance Clinical genomic tests that examine the DNA sequence of large numbers of genes are commonly used in the diagnosis and management of epilepsy in pediatric patients. The permanence of genomic test result interpretations is not known. Objective To investigate the value of reinterpreting previously reported genomic test results. Design, Setting, and Participants This study retrospectively reviewed and reinterpreted genomic test results from July 1, 2012, to August 31, 2015, for pediatric patients who previously underwent genomic epilepsy testing at a single tertiary care pediatric health care facility. Reinterpretation of previously reported variants was conducted in May 2017. Main Outcomes and Measures Patient reports from clinical genomic epilepsy tests were reviewed, and all reported genetic variants were reinterpreted using 2015 consensus standards and guidelines for interpreting hereditary genetic variants. Three classification tiers were used in the reinterpretation: pathogenic or likely pathogenic variant, variant of uncertain significance (VUS), or benign or likely benign variant. Results A total of 309 patients had genomic epilepsy tests performed (mean [SD] age, 5.6 [0.8] years; 163 [52.8%] male), and 185 patients had a genetic variant reported. The reported variants resulted in 61 patients with and 124 patients without a genetic diagnosis (VUS variants only). On reinterpretation of all reported variants, 67 of the 185 patients (36.2%) had a change in variant classification. Of the 67 patients with a genetic variant change in interpretation, 21 (31.3%) experienced a change in diagnosis. During the 5 years of the study, 19 of 61 patients (31.1%) with a genetic diagnosis and 48 of 124 patients (38.7%) with undiagnosed conditions (VUS only) had their results reclassified. Review of genomic reports issued during the final 2 years of the study identified reclassification of variants in 4 of 16 patients (25.0%) with a pathogenic or likely pathogenic variant and 11 of 41 patients (26.8%) with a VUS. Conclusions and Relevance The identified high rate of reinterpretation in this study suggests that interpretation of genomic test results has rapidly evolved during the past 5 years. These findings suggest that reinterpretation of genomic test results should be performed at least every 2 years.