Seroprevalence and Incidence of hepatitis E in blood donors in Upper Austria.

BACKGROUND: In recent years various studies showed, that hepatitis E virus (HEV) is a growing public health problem in many developed countries. Therefore, HEV infections might bear a transmission risk by blood transfusions. The clinical relevance still requires further investigations. The aim of this study was to provide an overview of acute HEV infections in Upper Austrian blood donors as well as a risk estimation of this transfusion-related infection. METHODS AND FINDINGS: A total of 58,915 blood donors were tested for HEV RNA using a commercial HEV RT-PCR Kit. 7 of these donors (0.01%) were PCR-positive with normal laboratory parameters in absence of clinical signs of hepatitis. Viral load determined by quantitative real-time PCR showed a HEV nucleic acid concentration of 2,217 293,635 IU/ml. At follow-up testing (2-11 weeks after donation) all blood donors had negative HEV RNA results. Additionally, genotyping was performed by amplification and sequencing of the ORF1 or ORF2 region of the HEV genome. All HEV RNA positive donor samples revealed a genotype 3 isolate. For the antibody screening, anti-HEV IgM and IgG were detected by ELISA. Follow up serological testing revealed that no donor was seropositive for HEV IgM or IgG antibodies at time of donation. Moreover, we verified the prevalence of anti-HEV IgG in 1,203 of the HEV RNA negative tested blood donors. Overall 13.55% showed positive results for anti-HEV IgG. CONCLUSIONS: In the presented study, we investigated HEV infections in blood donations of Upper Austria over 1 year. We concluded that 1 out of 8,416 blood donations is HEV RNA positive. Seroprevalence of anti HEV IgG results in an age-related increase of 13.55%. Therefore, based on this data, we recommend HEV-PCR screening to prevent transmission of hepatitis E virus by transfusion.

Routine performance and errors of 454 HLA exon sequencing in diagnostics.

BACKGROUND: Next-generation sequencing (NGS) has changed genomics significantly. More and more applications strive for sequencing with different platforms. Now, in 2012, after a decade of development and evolution, NGS has been accepted for a variety of research fields. Determination of sequencing errors is essential in order to follow next-generation sequencing beyond research use only. This study describes the overall 454 system performance of using multiple GS Junior runs with an in-house established and validated diagnostic assay for human leukocyte antigen (HLA) exon sequencing. Based on this data, we extracted, evaluated and characterized errors and variants of 60 HLA loci per run with respect to their adjacencies. RESULTS: We determined an overall error rate of 0.18% in a total of 118,484,408 bases. 31.3% of all reads analyzed (n=349,503) contain one or more errors. The largest group are deletions that account for 50% of the errors. Incorrect bases are not distributed equally along sequences and tend to be more frequent at sequence ends. Certain sequence positions in the middle or at the beginning of the read accumulate errors. Typically, the corresponding quality score at the actual error position is lower than the adjacent scores. CONCLUSIONS: Here we present the first error assessment in a human next-generation sequencing diagnostics assay in an amplicon sequencing approach. Improvements of sequence quality and error rate that have been made over the years are evident and it is shown that both have now reached a level where diagnostic applications become feasible. Our presented data are better than previously published error rates and we can confirm and quantify the often described relation of homopolymers and errors. Nevertheless, a certain depth of coverage is needed, in particular with challenging areas of the sequencing target. Furthermore, the usage of error correcting tools is not essential but might contribute towards the capacity and efficiency of a sequencing run.

Rapid, scalable and highly automated HLA genotyping using next-generation sequencing: a transition from research to diagnostics.

BACKGROUND: Human leukocyte antigen matching at allelic resolution is proven clinically significant in hematopoietic stem cell transplantation, lowering the risk of graft-versus-host disease and mortality. However, due to the ever growing HLA allele database, tissue typing laboratories face substantial challenges. In light of the complexity and the high degree of allelic diversity, it has become increasingly difficult to define the classical transplantation antigens at high-resolution by using well-tried methods. Thus, next-generation sequencing is entering into diagnostic laboratories at the perfect time and serving as a promising tool to overcome intrinsic HLA typing problems. Therefore, we have developed and validated a scalable automated HLA class I and class II typing approach suitable for diagnostic use. RESULTS: A validation panel of 173 clinical and proficiency testing samples was analysed, demonstrating 100% concordance to the reference method. From a total of 1,273 loci we were able to generate 1,241 (97.3%) initial successful typings. The mean ambiguity reduction for the analysed loci was 93.5%. Allele assignment including intronic sequences showed an improved resolution (99.2%) of non-expressed HLA alleles. CONCLUSION: We provide a powerful HLA typing protocol offering a short turnaround time of only two days, a fully integrated workflow and most importantly a high degree of typing reliability. The presented automated assay is flexible and can be scaled by specific primer compilations and the use of different 454 sequencing systems. The workflow was successfully validated according to the policies of the European Federation for Immunogenetics. Next-generation sequencing seems to become one of the new methods in the field of Histocompatibility.

Sequence capture and next generation resequencing of the MHC region highlights potential transplantation determinants in HLA identical haematopoietic stem cell transplantation.

How cells coordinate the immune system activities is important for potentially life-saving organ or stem cell transplantations. Polymorphic immunoregulatory genes, many of them located in the human major histocompatibility complex, impact the process and assure the proper execution of tolerance-versus-activity mechanisms. In haematopoietic stem cell transplantation, on the basis of fully human leukocyte antigen (HLA)-matched donor-recipient pairs, adverse effects like graft versus leukaemia and graft versus host are observed and difficult to handle. So far, high-resolution HLA typing was performed with Sanger sequencing, but for methodological reasons information on additional immunocompetent major histocompatibility complex loci has not been revealed. Now, we have used microarray sequence capture and targeted enrichment combined with next generation pyrosequencing for 3.5 million base pair human major histocompatibility complex resequencing in a clinical transplant setting and describe 3025 variant single nucleotide polymorphisms, insertions and deletions among recipient and donor in a single sequencing experiment. Taken together, the presented data show that sequence capture and massively parallel pyrosequencing can be used as a new tool for risk assessment in the setting of allogeneic stem cell transplantation.

Clinical significance of HLA-E*0103 homozygosity on survival after allogeneic hematopoietic stem-cell transplantation.

BACKGROUND: Hematopoietic stem-cell transplantation is a well-established treatment in various hematologic malignancies, but the outcome depends on disease relapse, infections, and the development and severity of acute and chronic graft-versus-host disease. Some evidence has revealed an important role for the nonclassical major histocompatibility complex class I molecules in transplantation, most notably human leukocyte antigen (HLA)-E. This study evaluates the impact of HLA-E alleles on transplantation outcome after HLA-matched allogeneic HSCT. METHODS: We genotyped DNA for HLA-E polymorphism from 83 recipients and their respective donors by real-time polymerase chain reaction after melting curve analysis and compared the results with clinical outcome. RESULTS: HLA-E*0103 homozygous patients showed a higher probability of overall survival (P=0.003) and disease-free survival (P=0.001) in a univariate model. Cox regression analysis confirmed HLA-E*0103, 0103 (P=0.006; relative risk 1.12; 95% confidence interval 0.31-1.94) and early stage of disease (P=0.005; relative risk 1.16; 95% confidence interval 0.45-1.86) as independent factors improving overall survival. Moreover, homozygosity for HLA-E*0103 was associated with a significant decreased incidence of transplant-related mortality (P=0.01). CONCLUSIONS: We found an association between HLA-E*0103 homozygosity and the significant reduction of transplant-related mortality in related and unrelated HSCT. The risk of posttransplant complications was significantly reduced when the donor possesses the HLA-E*0103, 0103 genotype, and this was translated in a better overall survival.

Rapid high-throughput human leukocyte antigen typing by massively parallel pyrosequencing for high-resolution allele identification.

Transplantation and, notably, hematopoietic stem cell transplantation require high-resolution human leukocyte antigen (HLA) typing and, because of the heterozygous genomic DNA samples, are dependent on clonal analytical methods. High-resolution HLA typing is a necessity for accomplishing the best possible histocompatibility match between donor and recipient, because mismatches strongly increase the risk of severe acute graft-versus-host disease. We describe the development and first application in a clinical setting of a novel, HLA sequence-based typing method by exploring the next-generation sequencing technology as provided by the Genome Sequencer FLX system (Roche/454 Life Sciences, Branford, CT). The developed system allows for ambiguity-free, high-throughput, high-resolution HLA-A and -B typing with the potential for automation. Primers and Genome Sequencer FLX specific adapters were lengthened with donor-identifying barcode sequences to identify each of eight Caucasian reference donors within one single multiplex sequencing run. Compared with normal SBT HLA typing, results indicate that every patient was identified correctly with an average of 1000 reads per amplicon. Furthermore, current investments for increased read lengths and fully automated molecular diagnostic software tools, using original GS-FLX data file formats, will enhance this novel HLA typing strategy in the near future.

Identification of RHD alleles with the potential of anti-D immunization among seemingly D- blood donors in Upper Austria.

BACKGROUND: Aberrant RHD alleles leading to a reduced expression of D antigen on the red blood cell (RBC) surface may be mistyped as D- by serology. To quantify the occurrence of weak D, DEL, and D+/- chimera among apparent D- first-time blood donors, polymerase chain reaction (PCR) screening was implemented as a routine service. STUDY DESIGN AND METHODS: A total of 23,330 pretyped D- samples were tested for RHD markers in Exons 4, 7, and 10 in pools of 20 by PCR. Samples with positive results in PCR were reevaluated by exon-specific PCRs, DNA sequencing, and serologic methods. RESULTS: Among 94 PCR-positive samples, 74 exhibited a weak D or DEL phenotype, dubbed weak D type 1, weak D type 2, weak D type 5, weak D type 32, weak D type 4.3, RHD(M295I), RHD(del147), and RHD(1227G>A). The most prevalent alleles were weak D type 4.3 (n = 31) and RHD(IVS3+1G>A) (n = 24). CONCLUSIONS: As a clinical consequence, 74 blood donor samples carrying weak D and DEL phenotypes with the potential of causing secondary immunizations in recipients were reclassified as D+. Those samples were reliably amplified by RHD Exon 7 PCR; therefore, its usage in the Upper Austrian population is recommended. The association of the weak D type 4.3 samples with a ce leads to the policy that all apparently D- donors should be tested with genotyping methods; otherwise, potentially immunogenic RHD alleles may be overseen.

High-throughput sequence-based typing strategy for HLA-DRB1 based on real-time polymerase chain reaction.

DNA sequencing is the gold standard for high-resolution genotyping of the highly polymorphic human leukocyte antigen (HLA) loci. In the case of hematopoietic stem cell transplantation, four-digit typing of HLA class I and II genes is indicated. We developed a group-specific, real-time polymerase chain reaction (PCR) strategy for amplification of DRB1 applying TaqMan chemistry on different real-time machines. For evaluation of genotyping accuracy and ambiguity resolution, 115 well-characterized samples were adapted. Separate analysis of each allele was possible in 100 samples (87%). Of the samples, 13% (n = 15) showed amplification in one of the eight group-specific PCR mixes: one sample according to the group DRB1*15, 16, along with 14 samples according to the group DRB1*03, *11, *13, *14. Further testing of the 14 (12.2%) samples associated with group DRB1*03, *11, *13, *14 was performed with specific intron primers. In conclusion this typing scheme generates results within 1 day, thereby making sequencing for different requirements attractive.

Effective molecular RHD typing strategy for blood donations.

BACKGROUND: More than 50 weak D alleles and numerous partial D alleles have been described to date that can be identified by molecular methods as polymerase chain reaction (PCR) and DNA sequencing of the RHD gene. A real time-based RHD typing scheme was developed and tested during an 8-month period. STUDY DESIGN AND METHODS: A total of 53,347 blood donors and patients were tested with standardized immunohematologic methods. A total of 201 DNA samples with weak D reactions underwent molecular characterization by weak D real-time PCR, exon-screening real-time PCR, and nucleotide sequencing of RHD Exons 1 through 10. A total of 2,427 samples with D- phenotype were tested for the presence of RHD markers. RESULTS: Molecular typing of 201 samples with weak D expression revealed 15 different known aberrant alleles as well as one new weak D type dubbed weak D Type 49. Approximately 60 percent of the alleles were determined as weak D Types 1 through 3 and detected by only one amplification run. Weak D Type 1 represented the most frequent allele (n = 72). Three samples with D- phenotype showed amplification of RHD-specific markers. Sequence-based typing (SBT) of these samples revealed a DEL allele, RHD(IVS3+1G>A), in two samples and one weak D Type 4.3. CONCLUSIONS: The presented scheme for RHD genotyping of weak D red blood cell units was reliable for detection of aberrant alleles. Testing of D- blood samples as quality control seems to overcome limitations of standard serology by detection of samples with weak D or DEL phenotype.

Cell size regulation by the human TSC tumor suppressor proteins depends on PI3K and FKBP38.

TSC1 and TSC2 are responsible for the tumor suppressor gene syndrome tuberous sclerosis (TSC). Mammalian TSC genes have been shown to be involved in cell cycle regulation. Recently, in Drosophila, these data have been confirmed and TSC genes have further been demonstrated to affect cell size control. Here we provide supporting data for the fact that the latter function is conserved in mammals. Human TSC1 and TSC2 trigger mammalian cell size reduction and a dominant-negative TSC2 mutant induces increased size. These effects occur in all cell cycle phases, are dependent on the activity of the phosphoinositide-3-kinase and are abolished by co-overexpression of a dominant-negative Akt mutant. Two independent naturally occurring and disease-causing mutations within the TSC2 gene eliminate tuberin's capacity to affect cell size control, emphasizing the relevance of this function for the development of the disease. The same mutations have earlier been shown not to affect tuberin's antiproliferative capacity. That the consequences of modulated TSC gene expression on cell proliferation and on cell size can be assigned to separable functions is further supported by two findings: A mutation within the TSC1 gene, earlier shown to still harbor anti-proliferative effects, was found to eliminate the cell size regulating functions. An important mammalian cell size regulator, c-Myc, was found to inhibit tuberin's antiproliferative capacity, but to have no effects on tuberin-dependent cell size control. To obtain further mechanistical insights, microarray screens for genes involved in TSC1- or TSC2-mediated cell size effects were performed. Antisense experiments revealed that the so observed regulation of the FK506-binding protein, FKBP38, plays a role in TSC gene-dependent cell size regulation. These data provide new insights into mammalian cell size regulation and allow a better understanding of the function of human TSC genes.

Brca1 and differentiation.

Breast cancer is one of the most frequent malignancies affecting women. The human breast cancer gene 1 (BRCA1) gene is mutated in a distinct proportion of hereditary breast and ovarian cancers. Tumourigenesis in individuals with germline BRCA1 mutations requires somatic inactivation of the remaining wild-type allelle. Although, this evidence supports a role for BRCA1 as a tumour suppressor, the mechanisms through which its loss leads to tumourigenesis remain to be determined. Neither the expression pattern nor the described functions of human BRCA1 and murine breast cancer gene 1 (Brca1) can explain the specific association of mutations in this gene with the development of breast and ovarian cancer. Investigation of the role of Brca1 in normal cell differentiation processes might provide the basis to understand the tissue-restricted properties.