Positive Clinical Specimens Research Articles

Emergence of SARS-CoV-2 omicron variant JN.1 in Tamil Nadu, India - Clinical characteristics and novel mutations

In December 2023, we observed a notable shift in the COVID-19 landscape, when JN.1 omicron emerged as the predominant SARS-CoV-2 variant with a 95% incidence. We characterized the clinical profile, and genetic changes in JN.1, an emerging SARS-CoV-2 variant of interest. Whole genome sequencing was performed on SARS-CoV-2 positive clinical specimens, followed by sequence analysis. Mutations within the spike protein sequences were analysed and compared with the previously reported lineages and sub-lineages, to identify the potential impact of the unique mutations on protein structure and possible alterations in the functionality. Several unique and dynamic mutations were identified herein. Molecular docking analysis showed changes in the binding affinity, and key interacting residues of wild-type and mutated structures with key host cell receptors of SARS-CoV-2 entry viz., ACE2, CD147, CD209L and AXL. Our data provides key insights on the emergence of newer variants and highlights the necessity for robust and sustained global genomic surveillance of SARS-CoV-2.

Serratia marcescens Burden in a Neonatal Intensive Care Unit: Colonization Rate, Clinical Infections and Strain Relatedness

Background: Serratia marcescens (S. marcescens) is an environmentally associated organism known for causing healthcare associated infections and outbreaks in neonatal intensive care units (NICUs). The colonization or infection rates in NICU settings remain uncertain. This study aims to evaluate the rate of baseline colonization and clinical infection and relatedness of S. marcescens isolates. Methods: Prospective surveillance of rectal colonization and clinical infection of S. marcescens was conducted on patients admitted to the NICU at Mount Sinai Hospital in Toronto, Ontario, from March 1, 2023, to September 30, 2023. The NICU is a 57 bed unit with all private rooms. Monthly point prevalence assessments by rectal screening were performed, alongside active surveillance for clinical infections associated with S. marcesens. Isolates from screening or clinical samples underwent assessment for relatedness using pulse field gel electrophoresis (PFGE). Results: Over the 7 month study period, 12 different patients (5.4%) were colonized/infected with S. marcescens. Among these, 10 patients (4.5%) were identified through rectal screening (316 rectal swabs were collected from 224 patients) and two patients (0.9%) exhibited positive clinical specimens (urine and endotracheal aspirate) in association with pyelonephritis and ventilator-associated pneumonia, respectively. Of the two clinical cases, one case showed a negative preceding rectal swab and the other detected through a clinical sample before the point prevalence date. The age at which a positive S. marcescens swab or positive clinical specimen was identified ranged from 4 to 66 days (median=18 days, IQR 5-38.8) (Figure 1). Sixty seven infants had repeated screening. Three out of 67 (4.5%) were colonized with S. marcescens, the timing and sequence of positive and negative testing are presented in Figure 2. Females demonstrated a higher positivity rate compared to males [9.1% (9/99) vs 2.4% (3/125), p=0.04, respectively]. PFGE analysis of all 12 (100%) isolates revealed a polyclonal pattern. Most cases were detected from March to May in 9/12 cases (75%). Ten different strains were identified. Notably, two strains demonstrated clusters of two cases each, one during March and the other during May (Figure 3). No mortality was reported among the cases. Conclusions: The study highlights the polyclonal nature of S. marcesens and raises questions about the utility of point prevalence in anticipating clinical cases or patient-to-patient transmission, especially in patients with clinical infection where there were no preceding positive screening tests.

Molecular characterization of head and neck infection causing bacterial communities using 16S rRNA in eastern Indian population

Head and neck infections (HNI) are dangerous illnesses caused by a variety of bacterial species. The absence of enough surveillance as well as information regarding the bacteria prevalence in the infected area and the use of excessive antibiotics leads to multidrug-resistant (MDR) pathogens that cause serious health hazards. Thus, in the present study, a surveillance program was carried out in an eastern state of India, known as Odisha to decipher the pool of bacterial genus prevalence and their relationship with related species. The positive clinical specimens obtained through preliminary screening by Vitek 2 were further characterized by utilizing the 16S rRNA gene followed by population genetic and phylogenetic analysis. The investigation resulted four bacterial species, such as Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa. According to population genetic factors, the haplotype (Hd) and nucleotide diversity (π) ranged from 0.558 to 0.828 and 0.03236 to 0.28428. The phylogeny analysis revealed that the present isolates were closely related to Chinese isolates. The prevalence of these pathogens within the eastern part of India and its transboundary potential revealed through phylogenetic analysis need further in-depth research to obtain a better therapeutic approach.

Emergence of Eurasian Avian-Like Swine Influenza A (H1N1) virus in a child in Shandong Province, China

BackgroundInfluenza A virus infections can occur in multiple species. Eurasian avian-like swine influenza A (H1N1) viruses (EAS-H1N1) are predominant in swine and occasionally infect humans. A Eurasian avian-like swine influenza A (H1N1) virus was isolated from a boy who was suffering from fever; this strain was designated A/Shandong-binzhou/01/2021 (H1N1). The aims of this study were to investigate the characteristics of this virus and to draw attention to the need for surveillance of influenza virus infection in swine and humans.MethodsThroat-swab specimens were collected and subjected to real-time fluorescent quantitative polymerase chain reaction (RT‒PCR). Positive clinical specimens were inoculated onto Madin-Darby canine kidney (MDCK) cells to isolate the virus, which was confirmed by a haemagglutination assay. Then, whole-genome sequencing was carried out using an Illumina MiSeq platform, and phylogenetic analysis was performed with MEGA X software.ResultsRT‒PCR revealed that the throat-swab specimens were positive for EAS-H1N1, and the virus was subsequently successfully isolated from MDCK cells; this strain was named A/Shandong-binzhou/01/2021 (H1N1). Whole-genome sequencing and phylogenetic analysis revealed that A/Shandong-binzhou/01/2021 (H1N1) is a novel triple-reassortant EAS-H1N1 lineage that contains gene segments from EAS-H1N1 (HA and NA), triple-reassortant swine influenza H1N2 virus (NS) and A(H1N1) pdm09 viruses (PB2, PB1, PA, NP and MP).ConclusionsThe isolation and analysis of the A/Shandong-binzhou/01/2021 (H1N1) virus provide further evidence that EAS-H1N1 poses a threat to human health, and greater attention should be given to the surveillance of influenza virus infections in swine and humans.

Emergence of Recombinant Subclade D3/Y in Coxsackievirus A6 Strains in Hand-Foot-and-Mouth Disease (HFMD) Outbreak in India, 2022.

Coxsackievirus-A6 (CV-A6) is responsible for more severe dermatological manifestations compared to other enteroviruses such as CV-A10, CV-A16, and EV-A71, causing HFMD in children and adults. Between 2005 and 2007, the recombinant subclade D3/RF-A started to expand globally, and a CV-A6 pandemic started. The study aimed to conduct whole-genome sequencing (WGS) of an isolated CV-A6 strain from currently circulating HFMD cases from India in 2022. Gene-specific RT-PCR and sequencing were used to perform molecular characterization of the isolated virus. Confirmation of these isolates was also performed by transmission electron microscopy and WGS. Among eleven positive clinical enterovirus specimens, eight CV-A6 strains were successfully isolated in the RD cell line. Isolates confirmed the presence of the CV-A6 strain based on VP1 and VP2 gene-specific RT-PCR. Sequences of isolates were clustered and identified as the novel CV-A6 strain of the D3/Y sub-genotype in India. The studies revealed that the D3/Y sub-genotype is being introduced into Indian circulation. The predicted putative functional loops found in VP1 of CV-A6 showed that the nucleotide sequences of the amino acid were a remarkably conserved loop prediction compatible with neutralizing linear epitopes. Therefore, this strain represents a potential candidate for vaccine development and antiviral studies.

Development of primer-probe sets to rapidly distinguish single nucleotide polymorphisms in SARS-CoV-2 lineages.

Ongoing SARS-CoV-2 infections are driven by the emergence of various variants, with differential propensities to escape immune containment. Single nucleotide polymorphisms (SNPs) in the RNA genome result in altered protein structures and when these changes occur in the S-gene, encoding the spike protein, the ability of the virus to penetrate host cells to initiate an infection can be significantly altered. As a result, vaccine efficacy and prior immunity may be diminished, potentially leading to new waves of infection. Early detection of SARS-CoV-2 variants using a rapid and scalable approach will be paramount for continued monitoring of new infections. In this study, we developed minor groove-binding (MGB) probe-based qPCR assays targeted to specific SNPs in the S-gene, which are present in variants of concern (VOC), namely the E484K, N501Y, G446S and D405N mutations. A total of 95 archived SARS-CoV-2 positive clinical specimens collected in Johannesburg, South Africa between February 2021 and March 2022 were assessed using these qPCR assays. To independently confirm SNP detection, Sanger sequencing of the relevant region in the S-gene were performed. Where a PCR product could be generated and sequenced, qPCR assays were 100% concordant highlighting the robustness of the approach. These assays, and the approach described, offer the opportunity for easy detection and scaling of targeted detection of variant-defining SNPs in the clinical setting.

B-268 Validation of a New Real-Time PCR Test for the Detection of Mpox Virus on the BD MAXTM System

Abstract Background Enabling labs to rapidly respond to unexpected healthcare challenges is the kind of situations for which the BD MAX™ open system reagent suite is designed. Therefore, after the monkeypox outbreak in non-endemic countries on May 2022, development of a molecular assay for monkeypox detection on the BD MAXTM System was initiated. Methods VIASURE Monkeypox virus Real Time PCR Reagents for BD MAX™ System was designed for the qualitative detection of DNA from monkeypox virus in human skin lesion swabs in VTM/UTM obtained from individuals suspected of monkeypox infection. The Limit of Detection (LoD) was determined by testing a 3-fold dilution series across 5 concentrations. The lowest concentration with 100% detection was tested with an additional 20 replicates. The preliminary LoD was confirmed with a ≥95% detection with 20 replicates. Then, a fully contrived clinical evaluation was performed. Each contrived clinical specimen was prepared using a unique natural clinical specimen matrix (lesion swabs). Twenty (20) of the clinical specimens were prepared at 1-2X LoD, ten (10) were prepared at 3-5X LoD, and thirty (30) were tested as negative samples. Results The lowest detectable concentration of virus at which >95% of all replicates test positive (LoD) was 288 copies/mL. The results for the contrived clinical evaluation are shown in Table 1. 19/20 (≥95%) low positive specimens (1-2xLoD) and 20/20 (100%) moderate positive specimens (3-5x LoD) were detected demonstrating the functionality of the test. Conclusion VIASURE Monkeypox virus Real Time PCR Reagents for BD MAX™ System provides results in a short time and requires less than one minute of hands-on time per sample due to integration of fully automated extraction and thermocycling steps. An additional clinical testing of positive natural clinical specimens must be performed to complete evidence that this product is for the purpose and the population for which it is intended.

Detection of Viable Streptococcus equi equi Using Propidium Monoazide Polymerase Chain Reaction.

There is debate around the clinical significance of Streptococcus equi subsp. equi detection in low numbers using quantitative real-time PCR (qPCR). Propidium monoazide (PMA) qPCR has been used to differentiate DNA from viable and nonviable bacterial cells. The aim of this study was to evaluate the ability of PMA eqbE SEQ2190 triplex qPCR to differentiate DNA from viable and nonviable S. equi in positive and suspect positive clinical specimens. 57 stored (frozen and refrigerated) positive (36) or suspect positive (21) clinical specimens (determined via SeeI qPCR as the gold standard) were tested using eqbE SEQ2190 triplex qPCR with (+) and without (-) PMA pre-treatment. Cycle Thresholds (CT) were higher when using PMA indicating a mixture of heat killed (HK) and viable cells. Number of S. equi positive specimens were as follows: 6/57 eqbE +PMA, 13/57 eqbE -PMA (Chi- squared 3.1, p = 0.079); 10/57 SEQ2190 +PMA, 53/57 SEQ2190 -PMA (Chi- squared 65.6, p<0.0001). The mean CT were as follows: 23.88 eqbE -PMA, 29.89 eqbE + PMA (p=0.04); 24.9 SEQ2190 -PMA, 31.9 SEQ2190 +PMA (p<0.0001). PMA qPCR can be used to determine S. equi viability, but testing should be performed on fresh specimens.

Pooled RNA-extraction-free testing of saliva for the detection of SARS-CoV-2

The key to limiting SARS-CoV-2 spread is to identify virus-infected individuals (both symptomatic and asymptomatic) and isolate them from the general population. Hence, routine weekly testing for SARS-CoV-2 in all asymptomatic (capturing both infected and non-infected) individuals is considered critical in situations where a large number of individuals co-congregate such as schools, prisons, aged care facilities and industrial workplaces. Such testing is hampered by operational issues such as cost, test availability, access to healthcare workers and throughput. We developed the SalivaDirect RT-qPCR assay to increase access to SARS-CoV-2 testing via a low-cost, streamlined protocol using self-collected saliva. To expand the single sample testing protocol, we explored multiple extraction-free pooled saliva testing workflows prior to testing with the SalivaDirect RT-qPCR assay. A pool size of five, with or without heat inactivation at 65 °C for 15 min prior to testing resulted in a positive agreement of 98% and 89%, respectively, and an increased Ct value shift of 1.37 and 1.99 as compared to individual testing of the positive clinical saliva specimens. Applying this shift in Ct value to 316 individual, sequentially collected, SARS-CoV-2 positive saliva specimen results reported from six clinical laboratories using the original SalivaDirect assay, 100% of the samples would have been detected (Ct value < 45) had they been tested in the 1:5 pool strategy. The availability of multiple pooled testing workflows for laboratories can increase test turnaround time, permitting results in a more actionable time frame while minimizing testing costs and changes to laboratory operational flow.

Pre-analytical considerations in the development of a prototype SARS-CoV-2 antigen ARCHITECT automated immunoassay.

To evaluate pre-analytical challenges related to high-volume central laboratory SARS-CoV-2 antigen testing with a prototype qualitative SARS-CoV-2 antigen immunoassay run on the automated Abbott ARCHITECT instrument. Contrived positive and negative specimens and de-identified nasal and nasopharyngeal specimens in transport media were used to evaluate specimen and reagent on-board stability, assay analytical performance and interference, and clinical performance. TCID50/mL values were similar for specimens in various transport media. Inactivated positive clinical specimens and viral lysate (USA-WA1/2020) were positive on the prototype immunoassay. Within-laboratory imprecision was≤0.10 SD (<1.00S/C) with a≤10% CV (≥1.00S/C). Assay reagents were stable on board the instrument for 14days. No high-dose hook effect was observed with a SARS-CoV-2 stock of Ct 13.0 (RLU>1.0×106). No interference was observed from mucin, whole blood, 12 drugs, and more than 20 cross-reactants. While specimen stability was limited at room temperature for specimens with or without viral inactivation, a single freeze/thaw cycle or long-term storage (>30days) at-20°C did not adversely impact specimen stability or assay performance. Specificity of the prototype SARS-CoV-2 antigen immunoassay was≥98.5% and sensitivity was≥89.5% across two ARCHITECT instruments. Assay sensitivity was inversely correlated with Ct and was similar to that reported for the Roche Elecsys® SARS-CoV-2 Ag immunoassay. The prototype SARS-CoV-2 antigen ARCHITECT immunoassay is sensitive and specific for detection of SARS-CoV-2 in nasal and nasopharyngeal specimens. Endogenous proteases in mucus may degrade the target antigen, which limits specimen storage and transport times and complicates assay workflow.

Omicron Subvariants: Clinical, Laboratory, and Cell Culture Characterization.

The variant of concern Omicron has become the sole circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant for the past several months. Omicron subvariants BA.1, BA.2, BA.3, BA.4, and BA.5 evolved over the time, with BA.1 causing the largest wave of infections globally in December 2021-January 2022. This study compared the clinical outcomes in patients infected with different Omicron subvariants and the relative viral loads and recovery of infectious virus from upper respiratory specimens. SARS-CoV-2-positive remnant clinical specimens, diagnosed at the Johns Hopkins Microbiology Laboratory between December 2021 and July 2022, were used for whole-genome sequencing. The clinical outcomes of infections with Omicron subvariants were compared with infections with BA.1. Cycle threshold (Ct) values and the recovery of infectious virus on the VeroTMPRSS2 cell line from clinical specimens were compared. BA.1 was associated with the largest increase in SARS-CoV-2 positivity rate and coronavirus disease 2019 (COVID-19)-related hospitalizations at the Johns Hopkins system. After a peak in January, cases decreased in the spring, but the emergence of BA.2.12.1 followed by BA.5 in May 2022 led to an increase in case positivity and admissions. BA.1 infections had a lower mean Ct value when compared with other Omicron subvariants. BA.5 samples had a greater likelihood of having infectious virus at Ct values <20. Omicron subvariants continue to be associated with a relatively high rate of polymerase chain reaction (PCR) positivity and hospital admissions. The BA.5 infections are more while BA.2 infections are less likely to have infectious virus, suggesting potential differences in infectibility during the Omicron waves.

Efficiency of Rifampin-loaded chitosan NPs in Killing of Brucella melitensis Isolated From Aborted Sheep in Wasit Province, Iraq

Brucellosis is consider one of the utmost common bacterial infectious illness that infect man and animals. unfortunately, A worldwide community in the developing country didn't provide active assistance for reducing it spread out globally. Therefore, the aim of this study is the synthesis of chitosan nanoparticles loaded with rifampin to overcome bacterial resistance and provide high intracellular penetration and the potential for potent intracellular antibacterial activity. The study was conducted from October 2019 to September 2021, Of 57 positive clinical specimens identified in the present study, 25 (65.78%), 20 (74.07%), and 12 (66.66%) were isolated from vaginal swabs, fetal membranes, and fetal abomasum contents, respectively. From the results of SEM images of NPs, it was clear that RIF-loaded CHNPs presented irregular surfaces or rough with spherical shape and presence of some particle aggregates. The RIF-CHNPs particle size observed using SEM images was 260.54 nm, while the diameter was 150.23 nm. In addition, the antibacterial activity were also measured and the results shows that the MIC values for RIF, CHNPs and RIF-CHNPs and they were 4, 2.5 and 0.625 ug/ml, respectively. While the EE % and DL % of RIF were measured spectrophotometrically. Loaded antibiotic formulation gave good percentage of entrapment efficiency and drug loading at concentration 50 mg/ml. Then the EE % at concentration 50 mg/ml was re-estimated in different pH values and the best EE% was at pH 5. In conclusion, the antibacterial activity of drug nanocarrier against B. melitensis found that it had a relatively low MIC 0.625 ug/ml. whereas the inhibitory concentrations were about 4 μg/ml and 2.5 μg/ml for the RIF and CHTNPs, respectively. Indicating there were 6.4 times reduction in MIC for RIF-CHTNPs and 1.6 time reduction for CHTNPs comparing to MIC of antibiotic alone.

A Digital Microfluidic RT-qPCR Platform for Multiple Detections of Respiratory Pathogens.

The coronavirus disease 2019 pandemic has spread worldwide and caused more than six million deaths globally. Therefore, a timely and accurate diagnosis method is of pivotal importance for controlling the dissemination and expansions. Nucleic acid detection by the reverse transcription-polymerase chain reaction (RT-PCR) method generally requires centralized diagnosis laboratories and skilled operators, significantly restricting its use in rural areas and field settings. The digital microfluidic (DMF) technique provides a better option for simultaneous detections of multiple pathogens with fewer specimens and easy operation. In this study, we developed a novel digital microfluidic RT-qPCR platform for multiple detections of respiratory pathogens. This method can simultaneously detect eleven respiratory pathogens, namely, mycoplasma pneumoniae (MP), chlamydophila pneumoniae (CP), streptococcus pneumoniae (SP), human respiratory syncytial virus A (RSVA), human adenovirus (ADV), human coronavirus (HKU1), human coronavirus 229E (HCoV-229E), human metapneumovirus (HMPV), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A virus (FLUA) and influenza B virus (FLUB). The diagnostic performance was evaluated using positive plasmids samples and clinical specimens compared with off-chip individual RT-PCR testing. The results showed that the limit of detections was around 12 to 150 copies per test. The true positive rate, true negative rate, positive predictive value, negative predictive value, and accuracy of DMF on-chip method were 93.33%, 100%, 100%, 99.56%, and 99.85%, respectively, as validated by the off-chip RT-qPCR counterpart. Collectively, this study reported a cost-effective, high sensitivity and specificity on-chip DMF RT-qPCR system for detecting multiple respiratory pathogens, which will greatly contribute to timely and effective clinical management of respiratory infections in medical resource-limited settings.

Comparison of an automated DNA extraction and 16S rDNA real time PCR/sequencing diagnostic method using optimized reagents with culture during a 15-month study using specimens from sterile body sites

Background16S rDNA-PCR for the identification of a bacterial species is an established method. However, the DNA extraction reagents as well as the PCR reagents may contain residual bacterial DNA, which consequently generates false-positive PCR results. Additionally, previously used methods are frequently time-consuming. Here, we describe the results obtained with a new technology that uses DNA-free reagents for automated DNA extraction and subsequent real time PCR using sterile clinical specimens.ResultsIn total, we compared 803 clinical specimens using real time PCR and culturing. The clinical specimens were mainly of orthopedic origin received at our diagnostic laboratory. In 595 (74.1%) samples, the results were concordant negative, and in 102 (12.7%) the results were concordant positive. A total of 170 (21.2%) clinical specimens were PCR-positive, of which 62 (36.5% from PCR positive, 7.7% in total) gave an additional benefit to the patient since only the PCR result was positive. Many of these 62 positive specimens were strongly positive based on crossingpoint values (54% < Cp 30), and these 62 positive clinical specimens were diagnosed as medically relevant as well. Thirty-eight (4.2%) clinical specimens were culture-positive (25 of them were only enrichment culture positive) but PCR-negative, mainly for S. epidermidis, S. aureus and C. acnes. The turnaround times for negative specimens were 4 hours (automated DNA extraction and real time PCR) and 1 working day for positive specimens (including Sanger sequencing). Melting-curve analysis of SYBR Green-PCR enables the differentiation of specific and unspecific PCR products. Using Ripseq, even mixed infections of 2 bacterial species could be resolved.ConclusionsFor endocarditis cases, the added benefit of PCR is obvious. The crucial innovations of the technology enable timely reporting of explicit reliable results for adequate treatment of patients. Clinical specimens with truly PCR-positive but culture-negative results represent an additional benefit for patients. Very few results at the detection limit still have to be critically examined.

Detection and isolation of SARS-CoV-2 Etavariant from the international travelers and local residents of India.

International travel has been the major source for the rapid spread of new SARS‐CoV‐2 variants across the globe. During SARS‐CoV‐2 genomic surveillance, a total of 212 SARS‐CoV‐2 positive clinical specimens were sequenced using next‐generation sequencing. A complete SARS‐CoV‐2 genome could be retrieved from 90 clinical specimens. Of them, 14 sequences belonged to the Eta variant from clinical specimens of international travelers (n = 12) and local residents (n = 2) of India, and 76 belonged to other SARS‐CoV‐2 variants. Of all the Eta‐positive specimens, the virus isolates were obtained from the clinical specimens of six international travelers. Many variants of interest have been found to cause substantial community transmission or cluster infections. The detection of this variant with lethal E484K mutation across the globe and India necessitates persistent genomic surveillance of the SARS‐CoV‐2 variants, which would aid in taking preventive action.

A Study of Analytical and Clinical Sensitivity of Aptima SARS-CoV-2 Assay (Hologic) and Proposals of Complementary Tests for SARS-CoV-2 Detection in Low Viral Load Specimens.

Early and accurate detection of SARS-CoV-2 is important for diagnosis and transmission control. The use of high-throughput and automated testing allows laboratories to better deliver diagnostic testing given manpower and resource limitations. We validated the clinical and analytical performance of the Hologic Panther Aptima SARS-CoV-2 assay with an emphasis on detection of specimens with low viral loads. The clinical performance was evaluated using 245 clinical specimens, against a comparator PCR-based laboratory developed test (LDT). The analytical performance was determined by replicate testing of contrived samples in a ten-fold dilution series (CT values 32–42, based on LDT). The Aptima assay had 96.7% overall percent agreement, 100% negative percent agreement and 88.1% positive percent agreement. It was able to consistently detect SARS-CoV-2 in contrived samples with CT = 32 by LDT (calculated 2354 copies/mL). The 95% limit of detection of the Aptima assay was estimated to be at LDT CT = 33 (equivalent to 870 copies/mL). The relative light units (RLU) × 1000 for 52 true positive clinical specimens was 962.2 ± 181.5, and that for the 186 true negative specimens was 264.6 ± 14.3. The Aptima assay was a reliable method with a high overall percent agreement against our comparator LDT. We propose that samples reported as negative by the Aptima assay with RLU > 350 be tested by a secondary method, in order to improve detection of samples with very low viral loads.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00284-021-02730-3.

Multiplex Epstein-Barr Virus Genotyping PCR Detects High-Risk Variants in Plasma for Population-Level Nasopharyngeal Carcinoma Screening

<h3>Purpose/Objective(s)</h3> Epstein-Barr Virus (EBV)-associated nasopharyngeal carcinoma (NPC) is unusually geographically and ethnically restricted. Without screening, most patients present at an advanced stage. Population-level screening in high-risk populations can detect most cases at an early stage, but existing serologic or molecular diagnostics are limited by low positive predictive value secondary to benign EBV reactivation. In contrast to human genome-wide association studies, recent EBV genome-wide association studies have identified polymorphisms with much greater attributable risk for NPC. We hypothesized that a noninvasive molecular diagnostic could detect high-risk EBV haplotypes in plasma to triage patients who screen positive for plasma EBV DNA. <h3>Materials/Methods</h3> We designed a multiplex allele-specific real-time polymerase chain reaction (qPCR) genotyping assay to detect three non-synonymous polymorphisms within the EBV BALF2 gene (162215C > A, 162476T > C, 163364C > T). Two dsDNA gene fragments served as either the high-risk or low-risk variant controls. Supernatant from the EBV-infected B95-8 cell line served as an additional wild-type whole-virus control. Positive clinical specimens sent for routine plasma EBV EBNA-1 testing were collected from patients with a variety of benign and neoplastic EBV-associated disorders. Three sets of conserved primers flanked the polymorphisms, with one allele-specific hydrolysis probe for each of the three high-risk alleles. A fourth allele-specific probe (162215-mt) served as an internal control. The 95% lower limit of detection (LLOD) was assessed in replicates of 20; linearity was assessed from 0.0-6.0 log10 cp/µL. Mutant allele frequencies from 0-100% were assessed by mixing dsDNA controls. <h3>Results</h3> The assay's limit of quantitation and 95% LLOD were 50 and 5 copies per well, respectively. At 100 copies per well, the assay could detect mutant allele frequencies as low as 5%, below the intra-host heterozygosity threshold. Wild-type B95-8 DNA confirmed assay specificity. Forty EBV-positive plasma specimens were genotyped from patients with non-transplant-associated viremia, post-transplant lymphoproliferative disorders, EBV-associated lymphomas (diffuse large-cell, Hodgkin, NK/T-cell, peripheral T-cell), and EBV-positive NPC. High-risk haplotypes were more common among patients with NPC (64% vs. 10%, <i>P</i> = 0.002). Compared to screening with plasma BamHI-W PCR alone, triaging screen-detected EBV DNA with this genotyping assay modestly reduced screening sensitivity (97% to 91%) but could decrease false positives and unnecessary nasoendoscopies by 63% in a modeled high-risk population. <h3>Conclusion</h3> Triaging screen-detected plasma EBV DNA with a multiplex BALF2 genotyping assay has the potential to decrease false positives and resource utilization in high-risk populations screened for NPC. This may be a low-cost and accessible alternative to higher-complexity sequencing assays in low- and middle-income countries.

Verification of analytical bacterial spectrum of QIAstat-Dx® GI V2 and Novodiag® Bacterial GE+ V2-0 diagnostic panels.

BackgroundImplementing multiplex PCR or syndromic panel-based testing platforms to detect microbial species that cause acute diarrhoea may guide patient management more effectively and efficiently.ObjectivesTo assess and compare the performance of two syndromic panel-based testing systems, QIAstat-Dx® Gastrointestinal Panel V2 (QGI) and the Novodiag® Bacterial GE+ V2-0 (NGE).MethodsThe QGI and NGE panels include 16 and 14 bacterial gastrointestinal pathogens, respectively. The performance of the panels was tested retrospectively using 141 positive clinical stool specimens, External Quality Assessment (EQA) panels and spiked faecal specimens.ResultsFor Campylobacter jejuni and coli (n = 20), Salmonella (n = 24), Shigella (n = 13), Yersinia enterocolitica (non-1A biotypes) (n = 8), Clostridioides difficile (n = 24) and Vibrio parahaemolyticus (n = 2), QGI correctly verified 19/20, 20/24, 13/13, 8/8, 23/24 and 2/2, whereas NGE correctly verified 20/20, 17/24, 13/13, 8/8, 14/24 and 1/2. Among diarrhoeagenic Escherichia coli (n = 29), QGI reported one Shiga toxin-producing E. coli (STEC) stx1a O26:H11 as STEC serotype O157:H7 and NGE failed on one enteropathogenic E. coli, one enteroaggregative E. coli and one STEC (stx2e). Y. enterocolitica biotype 1A (non-pathogenic) (n = 6) were all positive in QGI, but negative in NGE.ConclusionsBoth QGI and NGE testing panels can improve laboratory workflow and patient management by providing user-friendly platforms that can rapidly detect a number of targets with one specimen. QGI was significantly more sensitive in identifying C. difficile. Both methods had suboptimal detection of Salmonella and this needs to be examined further. The short hands-on time and turnaround time are of value for on-demand testing and use in a high-throughput setting.

Whole-genome-based phylogenomic analysis of the Belgian 2016-2017 influenza A(H3N2) outbreak season allows improved surveillance.

Seasonal influenza epidemics are associated with high mortality and morbidity in the human population. Influenza surveillance is critical for providing information to national influenza programmes and for making vaccine composition predictions. Vaccination prevents viral infections, but rapid influenza evolution results in emerging mutants that differ antigenically from vaccine strains. Current influenza surveillance relies on Sanger sequencing of the haemagglutinin (HA) gene. Its classification according to World Health Organization (WHO) and European Centre for Disease Prevention and Control (ECDC) guidelines is based on combining certain genotypic amino acid mutations and phylogenetic analysis. Next-generation sequencing technologies enable a shift to whole-genome sequencing (WGS) for influenza surveillance, but this requires laboratory workflow adaptations and advanced bioinformatics workflows. In this study, 253 influenza A(H3N2) positive clinical specimens from the 2016–2017 Belgian season underwent WGS using the Illumina MiSeq system. HA-based classification according to WHO/ECDC guidelines did not allow classification of all samples. A new approach, considering the whole genome, was investigated based on using powerful phylogenomic tools including beast and Nextstrain, which substantially improved phylogenetic classification. Moreover, Bayesian inference via beast facilitated reassortment detection by both manual inspection and computational methods, detecting intra-subtype reassortants at an estimated rate of 15 %. Real-time analysis (i.e. as an outbreak is ongoing) via Nextstrain allowed positioning of the Belgian isolates into the globally circulating context. Finally, integration of patient data with phylogenetic groups and reassortment status allowed detection of several associations that would have been missed when solely considering HA, such as hospitalized patients being more likely to be infected with A(H3N2) reassortants, and the possibility to link several phylogenetic groups to disease severity indicators could be relevant for epidemiological monitoring. Our study demonstrates that WGS offers multiple advantages for influenza monitoring in (inter)national influenza surveillance, and proposes an improved methodology. This allows leveraging all information contained in influenza genomes, and allows for more accurate genetic characterization and reassortment detection.

Nested PCR followed by NGS: Validation and application for HPV genotyping of Tunisian cervical samples.

The most used methodologies for HPV genotyping in Tunisian studies are based on hybridization that are limited to a restricted number of HPV types and to a lack of specificity and sensitivity for same types. Recently, Next-Generation sequencing (NGS) technology has been efficiently used for HPV genotyping. In this work we designed and validated a sensitive genotyping method based on nested PCR followed by NGS. Eighty-six samples were tested for the validation of an HPV genotyping assay based on Nested-PCR followed by NGS. These include, 43 references plasmids and 43 positive HPV clinical cervical specimens previously evaluated with the conventional genotyping method: Reverse Line Hybridization (RLH). Results of genotyping using NGS were compared to those of RLH. The analytical sensitivity of the NGS assay was 1GE/μl per sample. The NGS allowed the detection of all HPV types presented in references plasmids. On the clinical samples, a total of 19 HPV types were detected versus 14 types using RLH. Besides the identification of more HPV types in multiple infection (6 types for NGS versus 4 for RLH), NGS allowed the identification of HPV types that were not detected by RLH. In addition, the NGS assay detected newly HPV types that were not described in Tunisia so far: HPV81, HPV43, HPV74, and HPV62. The high sensitivity and specificity of NGS for HPV genotyping in addition to the identification of new HPV types may justify the use of such technique to provide with high accuracy the profile of circulating types in epidemiological studies.