Cell-free DNA diagnostics in transplantation utilizing next generation sequencing

The use of Next Generation Sequencing (NGS) to interrogate cell-free DNA (cfDNA) as a transplant diagnostic provides a crucial step in improving the accuracy of post-transplant monitoring of allograft health. cfDNA interrogation provides a powerful, yet minimally invasive, biomarker for disease and tissue injury. cfDNA can be isolated from a variety of body fluids and analyzed using bioinformatics to unlock its origins. Furthermore, cfDNA characteristics can reveal the mechanisms and conditions under which it was generated and released. In transplantation, donor-derived cfDNA monitoring provides a tool for identifying active allograft injury at the time of transplant, infection, and rejection. Multiple detection and interrogation methods for cfDNA detection are now being evaluated for clinical validity and hold the promise to provide minimally invasive, quantitative, and reproducible measures of allograft injury across organ types.     

Molecular histocompatibility beyond Tears: The next generation version

Human Leukocyte Antigens (HLA) matching at the serological level used to serve as the measure of histocompatibility between organ donors and recipients. With advancements in HLA typing methods more precise HLA mismatch assessment tools were developed to measure dissimilarities at the molecular level, collectively referred to as Molecular Mismatch load analysis tools. Currently, several software are aimed at deciphering the dissimilarities using somewhat different immunologic rationales. Our goal, in this review is to provide a basic overview of the different computational approaches, provide clinical cases to contextualize concerns regarding the lack of assessment of immunogenicity, and present our personal view regarding the gaps and the needs of our field.     

A blueprint for electronic utilization of ambiguous molecular HLA typing data in organ allocation systems and virtual crossmatch

Virtual crossmatch (VXM) compares a transplant candidate’s unacceptable antigens to the HLA typing of the donor before an organ offer is accepted and, in selected cases, supplant a prospective physical crossmatch. However, deceased donor typing can be ambiguous, leading to uncertainty in compatibility prediction. We have developed a prototype web application that utilizes ambiguous HLA molecular typing data to predict which unacceptable antigens are present in the donor HLA genotype as donor-specific antibodies (DSA). The application compares a candidate’s listed unacceptable antigens to computed probabilities of all possible two-field donor HLA alleles and UNOS antigens. The VIrtual CrossmaTch for mOleculaR HLA typing (VICTOR) tool can be accessed at http://www.transplanttoolbox.org/victor. We reanalyzed historical VXM cases where a transplant center’s manual interpretation of molecular typing results influenced offer evaluation. We found that interpretation of ambiguous donor molecular typing data using imputation could one day influence VXM decisions if the DSA predictions were rigorously validated. Standardized interpretation of molecular typing data, if applied to the match run, could also change which offers are made. HLA typing ambiguity has been an underappreciated source of immunological risk in organ transplantation. The VICTOR tool can serve as a testbed for development of allocation policies with the aim of decreasing offers refused due to HLA incompatibility.     

Concurrent typing of over 4000 samples by long-range PCR amplicon-based NGS and rSSO revealed the need to verify NGS typing for HLA allelic dropouts

Hematopoietic stem cell transplantation (HSCT) from HLA-matched donors significantly decreases the risks of graft-rejection and graft-versus-host disease. Long-range PCR- amplicon-based next-generation sequencing (NGS) is increasingly used as a standalone method in clinical laboratories to determine HLA compatibility for HSCT and solid-organ transplantation. We hypothesized that an allelic dropout is a frequent event in the long-range PCR amplicon-based NGS HLA typing method. To test the hypothesis, we typed 4,006 samples concurrently using a commercially available long-range PCR amplicon-based NGS-typing and short exon-specific amplicon-based reverse sequence-specific oligonucleotide (rSSO) methods. The concordance between the NGS and rSSO typing results was 100% at HLA-A, -B, -C, -DRB1, -DRB3, -DRB5, -DQA1, DPA1 loci. However, 4.5% of the samples (179/4006) showed allelic-dropouts at one of the other three loci: HLA-DRB4 (3.9%), HLA-DPB1 (0.4%), and HLA-DQB1*(0.15%). The allelic-dropouts are not associated with specific haplotypes, and some dropouts can be reagent lot-specific. Although DRB1-DRB3/4/5-DQB1 linkages help to diagnose these allelic-dropouts in some cases, the rSSO typing was crucial to identify the dropouts in DQB1 and DPB1 loci. These results uncover the critical limitations of using long-range PCR amplicon-based NGS as a standalone method in clinical histocompatibility laboratories and advocate the need for strategies to diagnose and resolve allelic-dropouts.     

High-resolution HLA typing by long reads from the R10.3 Oxford nanopore flow cells

Nanopore sequencing has been investigated as a rapid and cost-efficient option for HLA typing in recent years. Despite the lower raw read accuracy, encouraging typing accuracy has been reported, and long reads from the platform offer additional benefits of the improved phasing of distant variants. The newly released R10.3 flow cells are expected to provide higher read-level accuracy than previous chemistries. We examined the performance of R10.3 flow cells on the MinION device in HLA typing after enrichment of target genes by multiplexed PCR. We also aimed to mimic a 1-day workflow with 8–24 samples per sequencing run. A diverse collection of 102 unique samples were typed for HLA-A, -B, -C, -DPA1, -DPB1, -DQA1, -DQB1, -DRB1, -DRB3/4/5 loci. The concordance rates at 2-field and 3-field resolutions were 99.5% (1836 alleles) and 99.3% (1710 alleles). We also report important quality metrics from these sequencing runs. Continued research and independent validations are warranted to increase the robustness of nanopore-based HLA typing for broad clinical application.     

“SMART” cytology: The next generation cytology for precision diagnosis

Cytology plays an important role in diagnosing and managing human diseases, especially cancer, as it is often a simple, low cost yet effective, and non-invasive or minimally invasive diagnostic tool. However, traditional morphology-based cytology practice has limitations, especially in the era of precision diagnosis. Recently there have been tremendous efforts devoted to apply computational tools and to perform molecular analysis on cytological samples for a variety of clinical purposes. Now is probably the appropriate juncture to integrate morphology, machine learning, and molecular analysis together and transform cytology from a morphology-driven practice to the next level – “SMART” Cytology. In this article we will provide a rather brief review of the relevant works for computational analysis on cytology samples, focusing on single-cell-based multiplex quantitative analysis of biomarkers, and introduce the conceptual framework of “SMART (Single cell, Multiplex, AI-driven, and Real Time)” Cytology.     

Autobiographical perspectives on HLA epitopes: Past,present and future

This article describes my personal perspectives on HLA epitopes. It is not intended to be a general review of HLA epitopes as several versions have been published before. This article is an autobiographical reflection with three sections. The first part named “Past” is intended to show how traditional HLA typing and serological HLA data might be interpreted with epitopes. The second section named “Present” describes my experience with HLA epitopes including antibody verification and the concept of ^eplet load. The third part, “Future”, expresses my (thoughts about HLA epitopes and their application in the clinical setting. The list of cited References includes publications selected from the HLAMatchmaker website www.epitopes.net. Most of these references have PDF documents than can be downloaded without charge.     

HLA homozygosity is associated with Non-Hodgkin lymphoma

The “heterozygote advantage” hypothesis has been postulated regarding the role of human leukocyte antigen (HLA) in non-Hodgkin lymphoma (NHL), where homozygous loci are associated with an increased risk of disease. In this retrospective study, we analyzed the HLA homozygosity of 3789 patients with aplastic anemia (AA), acute lymphocytic leukemia (ALL), acute myeloblastic leukemia (AML), chronic lymphocytic leukemia (CLL), chronic myeloid leukemia (CML), myelodysplastic syndrome (MDS), multiple myeloma (MM), and non-Hodgkin lymphoma (NHL) at HLA-A, B, C, DRB1 and DQB1 loci compared to 169,964 normal controls. HLA homozygosity at one or more loci was only associated with an increased risk in NHL patients (OR = 1.28, 95% CI [1.09, 1.50], p = 0.002). This association was not seen in any of the other hematologic diseases. Homozygosity at HLA-A alone, HLA-B + C only, and HLA-DRB1 + DQB1 only was also significantly associated with NHL. Finally, we observed a 17% increased risk of NHL with each additional homozygous locus (OR per locus = 1.17, 95% CI [1.08, 1.25], p trend = 2.4 × 10^?5). These results suggest that reduction of HLA diversity could predispose individuals to an increased risk of developing NHL.     

Applications of next-generation sequencing in hematologic malignancies

In the last decade, next-generation sequencing (NGS) has rapidly progressed from a research method to a core component of standard-of-care clinical testing. In oncology, tumor sequencing provides a critical tool to detect somatic driver mutations that not only characterize disease but also impact therapeutic decision-making. Here, we review the important role of NGS in the evaluation of hematopoietic neoplasms. We discuss technical and practical considerations relevant in somatic mutation testing, emphasizing issues unique to blood cancers. Then, we describe how NGS data is being used to facilitate diagnosis, inform prognosis, guide therapy selection, and even monitor disease. This broad overview highlights the transformative impacts NGS data provides throughout the clinical course of patients with hematologic malignancies.     

Association between SARS-CoV-2 infection and de novo HLA donor specific antibody production in lung transplant recipients: Single-center study

The COVID-19 pandemic has led to significant morbidity and mortality in lung transplant recipients. Respiratory viral infections may be associated with de-novo HLA donor-specific antibody production and impact lung transplant outcome. Since one of the immunomodulation strategies post-SARS-CoV-2 infection in lung transplant recipients include decreasing or holding anti-metabolites, concerns have been raised for higher incidence of de-novo HLA donor specific antibody production in lung transplant recipients. We performed a retrospective chart review of 24 consecutive lung transplant recipients diagnosed with COVID-19 to investigate this concern. We observed no significant differences in the CPRA or MFI levels of HLA class I and II antibodies pre- COVID-19 compared to 1 and 6 months post-COVID-19 diagnosis in 11/24 (45.8 %) LTR (p = 0.98 and p = 0.63 respectively). HLA class I and II DSA were detected in 5/24 LTR pre-COVID-19 diagnosis and persisted with no significant differences in the median MFI levels at 1 and 6 months post-COVID-19 diagnosis (p = 0.89). De-novo HLA class I and II DSA were detected in 1/24 (4.2 %) LTR at one month post-COVID-19 diagnosis and persisted with no significant differences in the median MFI levels at 1 and 6 months post-COVID-19 diagnosis (p = 0.54). Our results suggest that there was no significant association between SARS-CoV-2 infection and immunomodulation on pre-existing or de novo HLA donor specific antibodies.     

Allelic and haplotypic HLA diversity in indigenous Malaysian populations explored using Next Generation Sequencing

The heterogenous population of Malaysia includes more than 50 indigenous groups, and characterizing their HLA diversity would not only provide insights to their ancestry, but also on the effects of natural selection on their genome. We utilized hybridization-based sequence capture and short-read sequencing on the HLA region of 172 individuals representing seven indigenous groups in Malaysia (Jehai, Kintaq, Temiar, Mah Meri, Seletar, Temuan, Bidayuh). Allele and haplotype frequencies of HLA-A, -B, -C, -DRB1, -DQA1, -DQB1, -DPA1, and -DPB1 revealed several ancestry-informative markers. Using SNP-based heterozygosity and pairwise Fst, we observed signals of natural selection, particularly in HLA-A, -C and -DPB1 genes. Consequently, we showed the impact of natural selection on phylogenetic inference using HLA and non-HLA SNPs. We demonstrate the utility of Next Generation Sequencing for generating unambiguous, high-throughput, high-resolution HLA data that adds to our knowledge of HLA diversity and natural selection in indigenous minority groups.     

Antigen presentation in SARS-CoV-2 infection: the role of class I HLA and ERAP polymorphisms

Given the highly polymorphic nature of Human Leukocyte Antigen (HLA) molecules, it is not surprising that they function as key regulators of the host immune response to almost all invading pathogens, including SARS-CoV-2, the etiological agent responsible for the recent COVID-19 pandemic. Several correlations have already been established between the expression of a specific HLA allele/haplotype and susceptibility/progression of SARS-CoV-2 infection and new ones are continuously emerging. Protective and harmful HLA variants have been described in both mild and severe forms of the disease, but considering the huge amount of existing variants, the data gathered in such a brief span of time are to some extent confusing and contradictory. The aim of this mini-review is to provide a snap-shot of the main findings so far collected on the HLA-SARS-CoV-2 interaction, so as to partially untangle this intricate yarn. As key factors in the generation of antigenic peptides to be presented by HLA molecules, ERAP1 and ERAP2 role in SARS-CoV-2 infection will be revised as well.     

HLA expression as a risk factor for metastases of cutaneous squamous-cell carcinoma in organ- transplant recipients

BackgroundSolid organ-transplant recipients (SOTR) have an increased risk of cutaneous squamous-cell carcinoma (cSCC), metastasis and death from cSCC. In immunocompetent patients with mucosal SCC, downregulation of HLA class I is associated with poor prognosis. Since the degree of HLA expression on tumor cells could play a role in immunogenicity and pathophysiology of cSCC metastasis, we hypothesized that decreased HLA expression is associated with an increased risk of metastasis.MethodsWe compared HLA expression between primary metastasized cSCCs, their metastases, and non-metastasized cSCCs from the same patients. Samples were stained for HLA-A, HLA-B/-C and quantified by calculating the difference in immunoreactivity score (IRS) of the primary cSCC compared with all non-metastasized cSCCs.ResultsThe mean IRS score for HLA-B/C expression was 2.07 point higher in metastasized compared to non-metastasized cSCCs (p = 0.065, 95 % CI ?0.18–4.32). 83.3 % of the primary metastasized cSCCs had an IRS score of 4 or higher, compared to 42.9 % in non-metastasized cSCCs. Moderately to poorly differentiated cSCCs had more HLA class I expression compared to well-differentiated cSCCs.ConclusionContrary to immunocompetent patients, HLA-B/C expression tends to be upregulated in metastasized cSCC compared to non-metastasized cSCC in SOTR, suggesting that different tumor escape mechanisms play a role in SOTR compared to immunocompetent patients.     

COVID-19 infection and vaccination rarely impact HLA antibody profile in waitlisted renal transplant candidates- a multicenter cohort

Although rare, infection and vaccination can result in antibodies to human leukocyte antigens (HLA). We analyzed the effect of SARS-CoV-2 infection or vaccination on HLA antibodies in waitlisted renal transplant candidates. Specificities were collected and adjudicated if the calculated panel reactive antibodies (cPRA) changed after exposure. Of 409 patients, 285 (69.7 %) had an initial cPRA of 0 %, and 56 (13.7 %) had an initial cPRA > 80 %. The cPRA changed in 26 patients (6.4 %), 16 (3.9 %) increased, and 10 (2.4 %) decreased. Based on cPRA adjudication, cPRA differences generally resulted from a small number of specificities with subtle fluctuations around the borderline of the participating centers’ cutoff for unacceptable antigen listing. All five COVID recovered patients with an increased cPRA were female (p = 0.02). In summary, exposure to this virus or vaccine does not increase HLA antibody specificities and their MFI in approximately 99 % of cases and 97 % of sensitized patients. These results have implications for virtual crossmatching at the time of organ offer after SARS-CoV-2 infection or vaccination, and these events of unclear clinical significance should not influence vaccination programs.     

Role of HLA molecular mismatch in clinical practice

To date, traditional pre-transplant risk factors have failed to provide accurate risk stratification in transplantation. As a result, the practice of precision medicine remains elusive, resulting in a one-size-fits-all therapeutic approach for most patients. However, recent advancements in the understanding of HLA molecules at the molecular level have revitalized interest in HLA mismatch assessment. This review discusses HLA molecular mismatch as a potential prognostic and predictive biomarker available at the time of transplantation and answers some of the common questions and critiques of this approach. We highlight the retrospective data that supports single molecule risk categorization and explore the next steps required to evaluate its potential in clinical practice.     

Human leukocyte antigen association with azathioprine-induced drug hypersensitivity reactions in patients with anti-neutrophil cytoplasmic antibody associated vasculitis

Azathioprine (AZA) drug hypersensitivity reaction (DHR) is an uncommon yet potentially lethal condition that often goes unrecognised in patients with anti-Neutrophil Cytoplasmic Antibody (ANCA) associated vasculitis (AAV). We conducted a retrospective review of AAV patients on AZA maintenance therapy (N = 35). Participants were categorised into those who had experienced AZA-DHR (N = 15) and those who were AZA-tolerant (N = 20). Human leukocyte antigen (HLA) typing was performed in both groups. The primary endpoint was identification of a HLA gene association with AZA-DHR in the context of AAV. HLA-C*06:02, was solely expressed in AZA-DHR patients (33.3 %), whilst no patient who tolerated AZA carried this allele (0.0 %). This yielded a positive predictive value of 100 % for HLA-C*06:02 in predicting AZA-DHR in AAV patients, negative predictive value of 66.7 %, sensitivity of 33.3 % and specificity of 100 %. HLA-C*06:02 may predict the development of AZA-DHR in patients with AAV and inform safer therapeutic choice.     

In-silico study of influence of HLA heterogeneity on CTL responses across ethnicities to SARS-CoV-2

Differences in outcome to COVID-19 infection in different individuals is largely attributed to genetic heterogeneity leading to differential immune responses across individuals and populations. HLA is one such genetic factor that varies across individuals leading to differences in how T-cell responses are triggered against SARS-CoV-2, directly influencing disease susceptibility. HLA alleles that influence COVID-19 outcome, by virtue of epitope binding and presentation, have been identified in cohorts worldwide. However, the heterogeneity in HLA distribution across ethnic groups limits the generality of such association. In this study, we address this limitation by comparing the recognition of CTL epitopes across HLA genotypes and ethnic groups. Using HLA allele frequency data for ethnic groups from Allele Frequency Net Database (AFND), we construct synthetic populations for each ethnic group and show that CTL epitope strength varies across HLA genotypes and populations. We also observe that HLA genotypes, in certain cases, can have high CTL epitope strengths in the absence of top-responsive HLA alleles. Finally, we show that the theoretical estimate of responsiveness and hence protection offered by a HLA allele is bound to vary across ethnic groups, due to the influence of other HLA alleles within the HLA genotype on CTL epitope recognition. This emphasizes the need for studying HLA-disease associations at the genotype level rather than at a single allele level.     

Unsupervised modeling and genome-wide association identify novel features of allergic march trajectories

1. Download : Download high-res image (257KB)
2. Download : Download full-size image

     

Genetic diversity of HLA system in two populations from Sinaloa,Mexico: Culiacán and rural Sinaloa

We studied HLA class I (HLA-A, -B) and class II (HLA-DRB1, -DQB1) alleles by PCR-SSP based typing in 286 Mexicans from the state of Sinaloa living in Culiacán (N = 103) and rural communities (N = 183) to obtain information regarding allelic and haplotypic frequencies. We find that the most frequent haplotypes for the state of Sinaloa include ten Native American most probable ancestry and five European most probable ancestry haplotypes. The admixture estimates revealed that the main genetic components in the state of Sinaloa are European (62.39 ± 3.47%) and Native American (37.61 ± 2.85%), while the African genetic component was estimated as virtually absent (0.00 ± 1.86%).