Molecular genetics and genomics of the ABO blood group system

The A and B oligosaccharide antigens of the ABO blood group system are produced from the common precursor, H substance, by enzymatic reactions catalyzed by A and B glycosyltransferases (AT and BT) encoded by functional A and B alleles at the ABO genetic locus, respectively. In 1990, my research team cloned human A, B, and O allelic cDNAs. We then demonstrated this central dogma of ABO and opened a new era of molecular genetics. We identified four amino acid substitutions between AT and BT and inactivating mutations in the O alleles, clarifying the allelic basis of ABO. We became the first to achieve successful ABO genotyping, discriminating between AA and AO genotypes and between BB and BO, which was impossible using immunohematological/serological methods. We also identified mutations in several subgroup alleles and also in the cis-AB and B(A) alleles that specify the expression of the A and B antigens by single alleles. Later, other scientists interested in the ABO system characterized many additional ABO alleles. However, the situation has changed drastically in the last decade, due to rapid advances in next-generation sequencing (NGS) technology, which has allowed the sequencing of several thousand genes and even the entire genome in individual experiments. Genome sequencing has revealed not only the exome but also transcription/translation regulatory elements. RNA sequencing determines which genes and spliced transcripts are expressed. Because more than 500,000 human genomes have been sequenced and deposited in sequence databases, bioinformaticians can retrieve and analyze this data without generating it. Now, in this era of genomics, we can harness the vast sequence information to unravel the molecular mechanisms responsible for important biological phenomena associated with the ABO polymorphism. Two examples are presented in this review: the delineation of the ABO gene evolution in a variety of species and the association of single nucleotide variant (SNV) sites in the ABO gene with diseases and biological parameters through genome-wide association studies (GWAS).Copyright © Annals of Blood. All rights reserved.

Multiplex measurements of the impacts of ACE2 sequence and cell surface abundance during SARS-like coronavirus entry

SARS-like coronaviruses, including SARS-CoV and SARS-CoV-2, encode spike proteins that bind human ACE2 protein on the cell surface to enter target cells and cause infection. The efficiency of virus entry depends on ACE2 sequence and expression levels in target cells. A small fraction of humans encodes variants of ACE2, thus altering the biochemical properties at the protein interaction interface. All humans possess cells with vastly differing amounts of ACE2 on the cell surface, ranging from cell types with high expression in the gut and lungs to lower expression in the liver and pancreas. Mastering our understanding of spike-ACE2 interaction and infection requires experiments precisely perturbing both variables. Thus, we developed a synthetic cell engineering approach compatible with high throughput assays for pseudo-typed virus infection. Our assay system is capable of assessing both variables individually and in combination. We adapted an engineered HEK293T DNA recombinase landing pad cell line capable of expressing transgenic ACE2 sequences at highly precise levels. Infection with lentiviruses pseudotyped with the spikes of SARS-like coronaviruses revealed that high ACE2 abundance could mask the effects of impaired binding thereby making it challenging to know the role of affinity altering mutations during infection. We limited the ACE2 abundance on the cell surface by expressing transgenic ACE2 behind a suboptimal Kozak sequence, thereby altering its protein translation rate. This allowed us to understand how ACE2 sequence could impact its interaction with coronavirus spike proteins as two human ACE2 variants at the binding interface, K31D and D355N, exhibited reduced infection. Our experiments suggested that we need to better understand how ACE2 expression determines the susceptibility of cells for SARS-like coronavirus binding and infection. We thus created an ACE2 Kozak library consisting of ~4,096 Kozak variants, each conferring a different ACE2 protein translation rate thus resulting in a range of ACE2 steady-state abundances. Combining fluorescence-activated cell sorting and high-throughput DNA sequencing (FACS-seq) revealed the library to span two orders of magnitude of ACE2 abundance. Challenging this library of cells with spike pseudotyped lentiviruses revealed how ACE2 abundance correlated with infection rate. The library-based experiments yielded a dynamic range wider than traditional single sample infection assay, likely more representative of infection dynamics in vivo. Now that we have characterized the impacts of ACE2 abundance on infectivity in engineered cells, our next goal is to expand the comparison to physiologically relevant cells with endogenously expressed proteins. Modulating protein abundance levels will be key to creating maximally informative functional assays for any protein in cell-based assays, and we have laid the groundwork for being able to simultaneously test the impacts of protein abundance and sequence in combination for proteins involved in diverse cellular processes. This research was supported by a National Institute of Health (NIH) grant GM142886 (KAM).Copyright © 2023 The American Society for Biochemistry and Molecular Biology, Inc.

Borrelia miyamotoi Infection in Immunocompromised Man, California, USA, 2021.

Infection with Borrelia miyamotoi in California, USA, has been suggested by serologic studies. We diagnosed B. miyamotoi infection in an immunocompromised man in California. Diagnosis was aided by plasma microbial cell-free DNA sequencing. We conclude that the infection was acquired in California.

Comparative analysis of SARS-CoV-2 variants with two high-throughput sequencing platforms

Whole-genome sequencing of upper respiratory tract specimens from patients with confirmed COVID-19 in Henan Province was performed to compare the performance of the Illumina and Oxford Nanopore sequencing platforms, thus providing a reference for whole-genome monitoring of the novel coronavirus (SARS-CoV-2). Ten samples from COVID-19 cases in Henan Province from June 2021 to January 2022 were collected and sequenced with Illumina and Nanopore high-through-put sequencing technology to obtain full genome sequences of the novel coronavirus, which were compared with the Wuhan reference sequence (Wuhan-Hu-1). Bioinformatics software (CLC) was used for sequence alignment analysis. Three of the ten samples were Omicron (BA.1) variants with 55,61 nucleotide variation sites. One sample was an Alpha (B.1.1.7) variant with 41 nucleotide variation sites. Six samples were Delta (8.1.617.2) variants with 35,42,47 nucleotide variation sites. The sequence identity of mutation sites in six samples was 100%, and the mutation sites in the S genome segment of seven samples were consistent. For samples with a Ct value < 33, both next-generation and third-generation sequencing achieved high genome coverage and sequencing depth. A significant difference in coverage was observed between second-generation sequencing and third-generation sequencing (t=-2.037, P < 0.06). However, the coverage at different time points of the third-generation sequencing did not significantly differ (F=2.498, P > 0.05). The needs for SARS-CoV-2 mutant detection could be met through use of either high-throughput sequencing platform. The identification of mutations in the novel coronavirus through Illumina high-throughput sequencing was more accurate, whereas Nanopore high-throughput sequencing technology could be used for rapid detection and typing of different novel coronaviruses.

SARS-CoV-2 Outbreak Investigation Using Contact Tracing and Whole-Genome Sequencing in an Ontario Tertiary Care Hospital.

Genomic epidemiology can facilitate an understanding of evolutionary history and transmission dynamics of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak. We used next-generation sequencing techniques to study SARS-CoV-2 genomes isolated from patients and health care workers (HCWs) across five wards of a Canadian hospital with an ongoing SARS-CoV-2 outbreak. Using traditional contact tracing methods, we show transmission events between patients and HCWs, which were also supported by the SARS-CoV-2 lineage assignments. The outbreak predominantly involved SARS-CoV-2 B.1.564.1 across all five wards, but we also show evidence of community introductions of lineages B.1, B.1.1.32, and B.1.231, falsely assumed to be outbreak related. Altogether, our study exemplifies the value of using contact tracing in combination with genomic epidemiology to understand the transmission dynamics and genetic underpinnings of a SARS-CoV-2 outbreak. IMPORTANCE Our manuscript describes a SARS-CoV-2 outbreak investigation in an Ontario tertiary care hospital. We use traditional contract tracing paired with whole-genome sequencing to facilitate an understanding of the evolutionary history and transmission dynamics of this SARS-CoV-2 outbreak in a clinical setting. These advancements have enabled the incorporation of phylogenetics and genomic epidemiology into the understanding of clinical outbreaks. We show that genomic epidemiology can help to explore the genetic evolution of a pathogen in real time, enabling the identification of the index case and helping understand its transmission dynamics to develop better strategies to prevent future spread of SARS-CoV-2 in congregate, clinical settings such as hospitals.

Community Health Nurses' Role in Genetic Sequencing: A Prospect for Health Team Preparedness Against Covid-19

Genetic sequencing is a scientific process of reading genetic material using advanced technology. Through genetic sequencing, we can better comprehend super-spreader events and outbreaks, and strengthen national public health responses. A better understanding of the transmission of viruses, the severity of patient illness, and mortality rates can be gained by combining this information with that from the IDSP and patient reports. Connecting the dots between the data and the host's genetics, immunology, clinical outcomes, and risk factors is also possible. Many roadblocks must be overcome before raw sequence data can be put to direct clinical application. Since DNA sequencing has so many potential applications in the field of nursing, it ought to be a required topic for students in the profession. Group wellness Preparing patients for procedures, identifying those most at risk, doing sentinel surveillance, and conducting in-depth studies are all areas in which nurses can be of assistance. The goals of this paper are twofold: (1) to present the notion of genetic sequencing and (2) to highlight the role of Community health nurses. To reduce the impact of pandemics and endemics and improve nursing care, Western countries are seeing an uptick in the participation of nurse scientists in genetic sequencing;the case of newborn screening provides a particularly apt example.Copyright © 2023, Institute of Medico-legal Publication. All rights reserved.

Metagenomic Next-Generation Sequencing of Plasma for Diagnosis of COVID-19-Associated Pulmonary Aspergillosis.

Timely diagnosis remains an unmet need in non-neutropenic patients at risk for aspergillosis, including those with COVID-19-associated pulmonary aspergillosis (CAPA), which in its early stages is characterized by tissue-invasive growth of the lungs with limited angioinvasion. Currently available mycological tests show limited sensitivity when testing blood specimens. Metagenomic next-generation sequencing (mNGS) to detect microbial cell-free DNA (mcfDNA) in plasma might overcome some of the limitations of conventional diagnostics. A two-center cohort study involving 114 COVID-19 intensive care unit patients evaluated the performance of plasma mcfDNA sequencing for the diagnosis of CAPA. Classification of CAPA was performed using the European Confederation for Medical Mycology (ECMM)/International Society for Human and Animal Mycoses (ISHAM) criteria. A total of 218 plasma samples were collected between April 2020 and June 2021 and tested for mcfDNA (Karius test). Only 6 patients were classified as probable CAPA, and 2 were classified as possible, while 106 patients did not fulfill CAPA criteria. The Karius test detected DNA of mold pathogens in 12 samples from 8 patients, including Aspergillus fumigatus in 10 samples from 6 patients. Mold pathogen DNA was detected in 5 of 6 (83% sensitivity) cases with probable CAPA (A. fumigatus in 8 samples from 4 patients and Rhizopus microsporus in 1 sample), while the test did not detect molds in 103 of 106 (97% specificity) cases without CAPA. The Karius test showed promising performance for diagnosis of CAPA when testing plasma, being highly specific. The test detected molds in all but one patient with probable CAPA, including cases where other mycological tests from blood resulted continuously negative, outlining the need for validation in larger studies.

Nocardia neocaledoniensis as Rare Cause of Spondylodiscitis.

Nocardia neocaledoniensis is a rare species of Nocardia bacteria, identified in 2004 in hypermagnesian ultramafic soil of New Caledonia. Culture of this opportunistic pathogen from spinal biopsy samples confirmed N. neocaledoniensis spondylodiscitis in an immunocompromised man. Isolation of this unusual species from spinal biopsy samples illustrates its underappreciated ability to cause invasive infection.

Forty Years of Molecular Diagnostics for Infectious Diseases.

Nearly 40 years have elapsed since the invention of the PCR, with its extremely sensitive and specific ability to detect nucleic acids via in vitro enzyme-mediated amplification. In turn, more than 2 years have passed since the onset of the coronavirus disease 2019 (COVID-19) pandemic, during which time molecular diagnostics for infectious diseases have assumed a larger global role than ever before. In this context, we review broadly the progression of molecular techniques in clinical microbiology, to their current prominence. Notably, these methods now entail both the detection and quantification of microbial nucleic acids, along with their sequence-based characterization. Overall, we seek to provide a combined perspective on the techniques themselves, as well as how they have come to shape health care at the intersection of technologic innovation, pathophysiologic knowledge, clinical/laboratory logistics, and even financial/regulatory factors.

Intra-Host Evolution Provides for the Continuous Emergence of SARS-CoV-2 Variants.

Variants of concern (VOC) in SARS-CoV-2 refer to viruses whose viral genomes differ from the ancestor virus by ≥3 single-nucleotide variants (SNVs) and that show the potential for higher transmissibility and/or worse clinical progression. VOC have the potential to disrupt ongoing public health measures and vaccine efforts. Still, too little is known regarding how frequently new viral variants emerge and under what circumstances. We report a study to determine the degree of SARS-CoV-2 sequence evolution in 94 patients and to estimate the frequency at which highly diverse variants emerge. Two cases accumulated ≥9 SNVs over a 2-week period and one case accumulated 23 SNVs over 3 weeks, including three nonsynonymous mutations in the spike protein (D138H, E554D, D614G). The remainder of the infected patients did not show signs of intra-host evolution. We estimate that in as much as 2% of hospitalized COVID-19 cases, variants with multiple mutations in the spike glycoprotein emerge in as little as 1 month of persistent intra-host virus replication. This suggests the continued local emergence of variants with multiple nonsynonymous SNVs, even in patients without overt immune deficiency. Surveillance by sequencing for (i) viremic COVID-19 patients, (ii) patients suspected of reinfection, and (iii) patients with diminished immune function may offer broad public health benefits. IMPORTANCE New SARS-CoV-2 variants can potentially disrupt ongoing public health measures and vaccine efforts. Still, little is known regarding how frequently new viral variants emerge and under what circumstances. Based on this study, we estimate that in hospitalized COVID-19 cases, variants with multiple mutations may emerge locally in as little as 1 month, even in patients without overt immune deficiency. Surveillance by sequencing for continuously shedding patients, patients suspected of reinfection, and patients with diminished immune function may offer broad public health benefits.

Present status of microfluidic PCR chip in nucleic acid detection and future perspective

Polymerase chain reaction (PCR) amplifies specific fragment of DNA molecules and has been extensively applied in fields of pathogens and gene mutation detection, food safety and clinical diagnosis which on the other hand, holds the drawbacks of large size instrument, high heat dissipation etc. It has been demonstrated that microfluidics technique coupling with PCR reaction exhibits characteristics of integration, automatization, miniaturization, and portability. Meanwhile, various designed fabrication of microchip could contribute to diverse applications. In this review, we summarized major works about a variety of microfluidic chips equipped with several kinds of PCR techniques (PCR, RT-PCR, mPCR, dPCR) and detection methods like fluorescence, electrochemistry, and electrophoresis detection. The development and application of PCR-based microfluidic chip in pathogen and gene mutation detection, diseases prevention and diagnosis, DNA hybridization and low-volume sample treatment were also discussed. Copyright © 2022 Elsevier B.V.

SARS-CoV-2 Lineage P.4 Detection in Southeast Brazil: A Retrospective Genomic and Clinical Overview

São Paulo state has been the epicenter of the Coronavirus Disease 2019 (COVID-19) in Brazil, ranking first by state with over six million reported cases. In February 2021, the P.4 lineage was reported in 21 cities across the state by public health authorities due to the L452R mutation. Here, by analyzing 17,304 genome sequences of SARS-CoV-2 sampled between February and August of 2021 in 476 distinct cities in São Paulo, we assess the transmission dynamics of the P.4 lineage and other SARS-CoV-2 variants that were, at the time of the study, co-circulating in the state. Additionally, clinical parameters from the city of Araras, São Paulo (N = 251) were considered to estimate the potential risk and mortality rate associated with the P.4 lineage since its higher prevalence was observed in that city. Our data suggest a low frequency (0.55%) of the P.4 lineage across the state, with the gamma variant being the dominant form in all regions (90%) at that time. Furthermore, no evidence of increased transmissibility and disease severity related to the P.4 lineage was observed. The displacement through the time of different lineages in São Paulo highlights how challenging genomic surveillance appears to track the emergence of new SARS-CoV-2 lineages, which could better guide the implementation of control measures. [ FROM AUTHOR]

A Multiplex PCR and DNA-Sequencing Workflow on Serum for the Diagnosis and Species Identification for Invasive Aspergillosis and Mucormycosis.

There has been significant increase in the use of molecular tools for the diagnosis of invasive aspergillosis (IA) and mucormycosis. However, their range of detection may be too limited as species diversity and coinfections are increasing. Here, we aimed to evaluate a molecular workflow based on a new multiplex PCR assay detecting the whole Aspergillus genus and the Mucorales order followed by a species-specific PCR or a DNA-sequencing approach for IA and/or mucormycosis diagnosis and species identification on serum. Performances of the MycoGENIE Aspergillus spp./Mucorales spp. duplex PCR kit were analyzed on a broad range of fungal strains and on sera from high-risk patients prospectively over a 12-month period. The kit allowed the detection of nine Aspergillus species and 10 Mucorales (eight genera) strains assessed. No cross-reactions between the two targets were observed. Sera from 744 patients were prospectively analyzed, including 35 IA, 16 mucormycosis, and four coinfections. Sensitivity varies from 85.7% (18/21) in probable/proven IA to 28.6% (4/14) in COVID-19-associated pulmonary aspergillosis. PCR-positive samples corresponded to 21 A. fumigatus, one A. flavus, and one A. nidulans infections. All the disseminated mucormycosis were positive in serum (14/14), including the four Aspergillus coinfections, but sensitivity fell to 33.3% (2/6) in localized forms. DNA sequencing allowed Mucorales identification in serum in 15 patients. Remarkably, the most frequent species identified was Rhizomucor pusillus (eight cases), whereas it is barely found in fungal culture. This molecular workflow is a promising approach to improve IA and mucormycosis diagnosis and epidemiology.

Massive sequencing of the V3-V4 hypervariable region of bronchoalveolar lavage from patients with COVID-19 and VAP reveals the collapse of the pulmonary microbiota.

Background. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is a predisposing factor for the development of healthcare-associated infections, of which ventilator-associated pneumonia (VAP) is one.Hypothesis. VAP is caused by ESKAPE bacteria and other pathogens not detected by microbiological culture.Aim. To elucidate the bacterial pathogens of severe coronavirus disease 2019 (COVID-19) and VAP patients by massive sequencing and to predict their degree of relationship with the age and sex of the patients.Methods. Analysis of ribosomal libraries of the V3-V4 hypervariable region obtained by Illumina sequencing of bronchoalveolar lavages from COVID-19 and VAP (first wave) patients from Hospital Juárez de México.Results. Acinetobacter and Pseudomonas were the main bacterial genera in the bronchoalveolar lavages (BALs) analysed. Other members of the ESKAPE group, such as Enterococcus and Klebsiella, were also identified. Taxonomic composition per patient showed that non-ESKAPE genera were present with significant relative abundances, such as Prevotella, Stenotrophomas, Enterococcus, Mycoplasma, Serratia and Corynebacterium. Kruskal-Wallis analysis proved that VAP acquisition is an adverse event that is not influenced by the sex and age of COVID-19 patients.Discussion. Metagenomic findings in COVID-19/VAP patients highlight the importance of implementing comprehensive microbiological diagnostics by including alternative tools for the detection of the causal agents of healthcare-associated infections (HAIs).Conclusions. Timely identification of bacteria 'not sought' in diagnostic bacteriology laboratories will allow specific and targeted treatments. Implications for the restricted diagnosis of VAP causative agents in COVID-19 patients and the presence of pathogens not detected by classical microbiology are analysed and discussed.

Classification of Covid-19 Variants Using Boosting Algorithm

COVID-19 is a disease caused by a virus from the coronavirus group, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The Sars-CoV-2 virus has 5 variants that are included in the variant of concern (VOC) namely Alpha, Beta, Delta, Gamma, and Omicron. The COVID-19 virus has infected more than 400 million people worldwide. This information causes a significant increase in data with the result that computations are needed to obtain knowledge (pattern) from the data. Machine learning is a tool that can facilitate the analysis of big data, one of which is classification. In this paper, we implement two boosting algorithms: eXtreme Gradient Boosting (XGB) and Light Gradient Boosting Machine (LGBM), to classify the Deoxyribonucleic acid (DNA) sequence data from the COVID-19 virus variants. Additionally, we utilized one-hot encoded method to encode data. The experiment results showed that XGB has better accuracy than LGBM, but LGBM has faster computation time than XGB. The highest accuracy is 0.992. © 2022 Institute of Advanced Engineering and Science (IAES).

Targeted genomic sequencing with probe capture for discovery and surveillance of coronaviruses in bats.

Public health emergencies like SARS, MERS, and COVID-19 have prioritized surveillance of zoonotic coronaviruses, resulting in extensive genomic characterization of coronavirus diversity in bats. Sequencing viral genomes directly from animal specimens remains a laboratory challenge, however, and most bat coronaviruses have been characterized solely by PCR amplification of small regions from the best-conserved gene. This has resulted in limited phylogenetic resolution and left viral genetic factors relevant to threat assessment undescribed. In this study, we evaluated whether a technique called hybridization probe capture can achieve more extensive genome recovery from surveillance specimens. Using a custom panel of 20,000 probes, we captured and sequenced coronavirus genomic material in 21 swab specimens collected from bats in the Democratic Republic of the Congo. For 15 of these specimens, probe capture recovered more genome sequence than had been previously generated with standard amplicon sequencing protocols, providing a median 6.1-fold improvement (ranging up to 69.1-fold). Probe capture data also identified five novel alpha- and betacoronaviruses in these specimens, and their full genomes were recovered with additional deep sequencing. Based on these experiences, we discuss how probe capture could be effectively operationalized alongside other sequencing technologies for high-throughput, genomics-based discovery and surveillance of bat coronaviruses.

The Entero-Mammary Pathway and Perinatal Transmission of Gut Microbiota and SARS-CoV-2.

COVID-19 is a severe respiratory disease threatening pregnant women, which increases the possibility of adverse pregnancy outcomes. Several recent studies have demonstrated the ability of SARS-CoV-2 to infect the mother enterocytes, disturbing the gut microbiota diversity. The aim of this study was to characterize the entero-mammary microbiota of women in the presence of the virus during delivery. Fifty mother-neonate pairs were included in a transversal descriptive work. The presence of SARS-CoV-2 RNA was detected in nasopharyngeal, mother rectal swabs (MRS) and neonate rectal swabs (NRS) collected from the pairs, and human colostrum (HC) samples collected from mothers. The microbiota diversity was characterized by high-throughput DNA sequencing of V3-16S rRNA gene libraries prepared from HC, MRS, and NRS. Data were analyzed with QIIME2 and R. Our results indicate that several bacterial taxa are highly abundant in MRS positive for SARS-CoV-2 RNA. These bacteria mostly belong to the Firmicutes phylum; for instance, the families Bifidobacteriaceae, Oscillospiraceae, and Microbacteriaceae have been previously associated with anti-inflammatory effects, which could explain the capability of women to overcome the infection. All samples, both positive and negative for SARS-CoV-2, featured a high abundance of the Firmicutes phylum. Further data analysis showed that nearly 20% of the bacterial diversity found in HC was also identified in MRS. Spearman correlation analysis highlighted that some genera of the Proteobacteria and Actinobacteria phyla were negatively correlated with MRS and NRS (p < 0.005). This study provides new insights into the gut microbiota of pregnant women and their potential association with a better outcome during SARS-CoV-2 infection.

Microbiome Analysis for Wastewater Surveillance during COVID-19.

Wastewater surveillance (WS), when coupled with advanced molecular techniques, offers near real-time monitoring of community-wide transmission of SARS-CoV-2 and allows assessing and mitigating COVID-19 outbreaks, by evaluating the total microbial assemblage in a community. Composite wastewater samples (24 h) were collected weekly from a manhole between December 2020 and November 2021 in Maryland, USA. RT-qPCR results showed concentrations of SARS-CoV-2 RNA recovered from wastewater samples reflected incidence of COVID-19 cases. When a drastic increase in COVID-19 was detected in February 2021, samples were selected for microbiome analysis (DNA metagenomics, RNA metatranscriptomics, and targeted SARS-CoV-2 sequencing). Targeted SARS-CoV-2 sequencing allowed for detection of important genetic mutations, such as spike: K417N, D614G, P681H, T716I, S982A, and D1118H, commonly associated with increased cell entry and reinfection. Microbiome analysis (DNA and RNA) provided important insight with respect to human health-related factors, including detection of pathogens and their virulence/antibiotic resistance genes. Specific microbial species comprising the wastewater microbiome correlated with incidence of SARS-CoV-2 RNA, suggesting potential association with SARS-CoV-2 infection. Climatic conditions, namely, temperature, were related to incidence of COVID-19 and detection of SARS-CoV-2 in wastewater, having been monitored as part of an environmental risk score assessment carried out in this study. In summary, the wastewater microbiome provides useful public health information, and hence, a valuable tool to proactively detect and characterize pathogenic agents circulating in a community. In effect, metagenomics of wastewater can serve as an early warning system for communicable diseases, by providing a larger source of information for health departments and public officials. IMPORTANCE Traditionally, testing for COVID-19 is done by detecting SARS-CoV-2 in samples collected from nasal swabs and/or saliva. However, SARS-CoV-2 can also be detected in feces of infected individuals. Therefore, wastewater samples can be used to test all individuals of a community contributing to the sewage collection system, i.e., the infrastructure, such as gravity pipes, manholes, tanks, lift stations, control structures, and force mains, that collects used water from residential and commercial sources and conveys the flow to a wastewater treatment plant. Here, we profile community wastewater collected from a manhole, detect presence of SARS-CoV-2, identify genetic mutations of SARS-CoV-2, and perform COVID-19 risk score assessment of the study area. Using metagenomics analysis, we also detect other microorganisms (bacteria, fungi, protists, and viruses) present in the samples. Results show that by analyzing all microorganisms present in wastewater, pathogens circulating in a community can provide an early warning for contagious diseases.

Characteristics of Creutzfeldt-Jakob disease cases reported by surveillance network in China, 2020

Objective: To investigate the incidence, epidemiology and clinical characteristics of Creutzfeldt-Jakob disease (CJD) in China in 2020.

A new translocation partner for CBFB in acute myeloid leukemia, t(10;16)(p13;q22)

Cytogenetic abnormalities involving chromosome 16 are found in 5– 8% of acute myeloid leukemia (AML). These are typically a pericentric inversion inv(16)(p13.1q22) or a translocation, t(16;16)(p13.1;q22), involving the MYH11 and CBFB genes localized to chromosome 16p13.1 and 16q22, respectively. In addition, less common rearrangements include deletion of the long arm of chromosome 16, del(16) (q22), and cryptic insertions involving the MYH11 and the CBFB genes with otherwise normal karyotypes. In this report, we present the first AML case with a new translocation involving the CBFB gene. The more common CBFB - MYH11 fusion product resulting from the inversion and/or translocation of chromosome(s) 16 leads to an AML with monocytic and granulocytic differentiation and abnormal eosinophil component with large, purple to violet color eosinophilic granules. This entity typically corresponds to the adult AML-M4Eo in French-American- British (FAB) Classification and now called AML with inv(16)(p13.1q22) or t(16;16)(p13.1;q22);CBFB-MYH1 in the new 2017 WHO Classification. Patients may present with myeloid sarcoma at initial diagnosis or at relapse. We present a case of an 80-year-old male with a history of prostate cancer post radiotherapy who was referred for COVID-19 testing. A complete blood count with differential revealed neutropenia and a macrocytic anemia. A bone marrow biopsy and a bone marrow aspirate confirmed a diagnosis of AML with 33% blasts including myeloblasts and promonocytes. Interphase fluorescence in situ hybridization (FISH) analysis with a break-apart probe for CBFB showed an abnormal hybridization pattern consistent with rearrangement of CBFB in 66% of nuclei. Chromosome analysis revealed an abnormal karyotype with two related clones: 47,XY, t(10;16)(p13;q22),+22[4]/48,idem,+8[16]. Sequential GTG-FISH confirmed that the 3’ region of CBFB was translocated to 10p13 in the t(10;16) and the 5’ region remained on 16q. Based on the karyotype, the patient’s bone barrow exhibits clonal evolution having acquired additional chromosome abnormalities (trisomy 22 and trisomy 8). Molecular studies by next generation sequencing showed NRAS p.Gln61Lys mutation with a VAF of 11.21%. No genomic alterations were detected in KIT, KRAS or FLT3 genes. AML with inv(16)(p13.1q22) or t(16;16)(p13.1;q22) is associated with a high rate of complete remission and favorable overall survival when treated with intensive consolidation therapy. However, their prognostic advantage may be affected by additional cytogenetic abnormalities and/or other gene mutations. Specifically, trisomy 22, is a frequent abnormality additional to inv(16) detected as a secondary finding which has been associated with an improved outcome when compared to the prognosis associated with inv(16) alone. Furthermore, KIT (in 30–40%), FLT3 (in 14%), NRAS (in 45%) and KRAS (in 13%) mutations are common in this AML type. The prognostic implications of KIT mutation (especially involving exon 8) do not appear to be significantly poor prognostic compared to other AML types. On the other hand FLT3-TKD mutations and trisomy 8 are associated with a worse outcome. The patient is currently receiving Vidaza 75 mg/m2, days 1–7 of a 28 days cycle with Venetoclax mg daily of a 28-day cycle and his clinical prognosis is currently unclear. Further analysis by DNA sequencing may help to characterize the molecular nature of the fusion gene product resulting from the novel t(10;16)(p13;q22). To the best of our knowledge, this is the first reported case of an AML patient with translocation t(10;16)(p13;q22) involving the CBFB gene. Given the rarity and lack of additional information regarding the effects of this abnormality, the prognosis and survival cannot be predicted.