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1.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-22275691

RESUMO

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants are characterized by differences in transmissibility and response to therapeutics. Therefore, discriminating among them is vital for surveillance, infection prevention, and patient care. While whole viral genome sequencing (WGS) is the "gold standard" for variant identification, molecular variant panels have become increasingly available. Most, however, are based on limited targets and have not undergone comprehensive evaluation. We assessed the diagnostic performance of the highly multiplexed Agena MassARRAY(R) SARS-CoV-2 Variant Panel v3 to identify variants in a diverse set of 391 SARS-CoV-2 clinical RNA specimens collected across our health systems in New York City, USA as well as in Bogota, Colombia (September 2, 2020 - March 2, 2022). We demonstrate almost perfect levels of interrater agreement between this assay and WGS for 9 of 11 variant calls ({kappa} [≥] 0.856) and 25 of 30 targets ({kappa} [≥] 0.820) tested on the panel. The assay had a high diagnostic sensitivity ([≥]93.67%) for contemporary variants (e.g., Iota, Alpha, Delta, Omicron [BA.1 sublineage]) and a high diagnostic specificity for all 11 variants ([≥]96.15%) and all 30 targets ([≥]94.34%) tested. Moreover, we highlight distinct target patterns that can be utilized to identify variants not yet defined on the panel including the Omicron BA.2 and other sublineages. These findings exemplify the power of highly multiplexed diagnostic panels to accurately call variants and the potential for target result signatures to elucidate new ones. ImportanceThe continued circulation of SARS-CoV-2 amidst limited surveillance efforts and inconsistent vaccination of populations has resulted in emergence of variants that uniquely impact public health systems. Thus, in conjunction with functional and clinical studies, continuous detection and identification are quintessential to inform diagnostic and public health measures. Furthermore, until WGS becomes more accessible in the clinical microbiology laboratory, the ideal assay for identifying variants must be robust, provide high resolution, and be adaptable to the evolving nature of viruses like SARS-CoV-2. Here, we highlight the diagnostic capabilities of a highly multiplexed commercial assay to identify diverse SARS-CoV-2 lineages that circulated at over September 2, 2020 - March 2, 2022 among patients seeking care at our health systems. This assay demonstrates variant-specific signatures of nucleotide/amino acid polymorphisms and underscores its utility for detection of contemporary and emerging SARS-CoV-2 variants of concern.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21267539

RESUMO

BackgroundSaliva is an optimal specimen for detection of viruses that cause upper respiratory infections including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) due to its cost-effectiveness and non-invasive collection. However, together with intrinsic enzymes and oral microbiota, childrens unique dietary habits may introduce substances that interfere with diagnostic testing. MethodsTo determine whether childrens dietary choices impact SARS-CoV-2 detection in saliva, we performed a diagnostic study that simulates testing of real-life specimens provided from healthy children (n=5) who self-collected saliva at home before and at 0, 20, and 60 minutes after eating from 20 foods they selected. Each of seventy-two specimens was split into two volumes and spiked with SARS-CoV-2-negative or -positive standards prior to side-by-side testing by reverse-transcription polymerase chain reaction matrix-assisted laser desorption ionization time-of-flight (RT-PCR/MALDI-TOF) assay. ResultsDetection of internal extraction control and SARS-CoV-2 nucleic acids was reduced in replicates of saliva collected at 0 minutes after eating 11 of 20 foods. Interference resolved at 20 and 60 minutes after eating all foods except hot dog in one participant. This represented a significant improvement in detection of nucleic acids compared to saliva collected at 0 minutes after eating (P=0.0005). ConclusionsWe demonstrate successful detection of viral nucleic acids in saliva self-collected by children before and after eating a variety of foods. Fasting is not required before saliva collection for SARS-CoV-2 testing by RT-PCR/MALDI-TOF, but waiting 20 minutes after eating is sufficient for accurate testing. These findings should be considered for SARS-CoV-2 testing and broader viral diagnostics in saliva specimens.

3.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21267265

RESUMO

As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to circulate, multiple variants of concern (VOC) have emerged. New variants pose challenges for diagnostic platforms since sequence diversity can alter primer/probe binding sites (PBS), causing false-negative results. The Agena MassARRAY(R) SARS-CoV-2 Panel utilizes reverse-transcription polymerase chain reaction and mass-spectrometry to detect five multiplex targets across N and ORF1ab genes. Herein, we utilize a dataset of 256 SARS-CoV-2-positive specimens collected between April 11, 2021-August 28, 2021 to evaluate target performance with paired sequencing data. During this timeframe, two targets in the N gene (N2, N3) were subject to the greatest sequence diversity. In specimens with N3 dropout, 69% harbored the Alpha-specific A28095U polymorphism that introduces a 3-mismatch to the N3 forward PBS and increases risk of target dropout relative to specimens with 28095A (relative risk (RR): 20.02; p<0.0001; 95% Confidence Interval (CI): 11.36-35.72). Furthermore, among specimens with N2 dropout, 90% harbored the Delta-specific G28916U polymorphism that creates a 3-mismatch to the N2 probe PBS and increases target dropout risk (RR: 11.92; p<0.0001; 95% CI: 8.17-14.06). These findings highlight the robust capability of Agena MassARRAY(R) SARS-CoV-2 Panel target results to reveal circulating virus diversity and underscore the power of multi-target design to capture VOC.

4.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21263348

RESUMO

The COVID-19 pandemic sparked rapid development of SARS-CoV-2 diagnostics. However, emerging variants pose the risk for target dropout and false-negative results secondary to primer/probe binding site (PBS) mismatches. The Agena MassARRAY(R) SARS-CoV-2 Panel combines RT-PCR and MALDI-TOF mass-spectrometry to probe for five targets across N and ORF1ab genes, which provides a robust platform to accommodate PBS mismatches in divergent viruses. Herein, we utilize a deidentified dataset of 1,262 SARS-CoV-2-positive specimens from Mount Sinai Health System (New York City) from December 2020 through April 2021 to evaluate target results and corresponding sequencing data. Overall, the level of PBS mismatches was greater in specimens with target dropout. Of specimens with N3 target dropout, 57% harbored an A28095T substitution that is highly-specific for the alpha (B.1.1.7) variant of concern. These data highlight the benefit of redundancy in target design and the potential for target performance to illuminate the dynamics of circulating SARS-CoV-2 variants.

5.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21253234

RESUMO

The coronavirus disease 2019 (COVID-19) pandemic has accelerated the need for rapid implementation of diagnostic assays for detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in respiratory specimens. While multiple molecular methods utilize nasopharyngeal specimens, supply chain constraints and need for easier and safer specimen collection warrant alternative specimen types, particularly saliva. Although saliva has been found to be a comparable clinical matrix for detection of SARS-CoV-2, evaluations of diagnostic and analytic performance across platforms for this specimen type are limited. Here, we compared two methods for SARS-CoV-2 detection in saliva: the Roche cobas(R) 6800/8800 SARS-CoV-2 real-time RT-PCR Test and the Agena Biosciences MassARRAY(R) SARS-CoV-2 Panel/MassARRAY(R) System. Overall, both systems had high agreement with one another, and both demonstrated high diagnostic sensitivity and specificity when compared to matched patient upper respiratory specimens. We also evaluated the analytical sensitivity of each platform and determined the limit of detection of the Roche assay was four times lower than that of Agena for saliva specimens (390.6 v. 1,562.5 copies/mL). Furthermore, across individual target components of each assay, T2 and N2 targets had the lowest limits of detection for each platform, respectively. Together, we demonstrate that saliva represents an appropriate specimen for SARS-CoV-2 detection in two technologies that have high agreement and differ in analytical sensitivities overall and across individual component targets. The addition of saliva as an acceptable specimen and understanding the sensitivity for testing on these platforms can further inform public health measures for screening and detection to combat the COVID-19 pandemic.

6.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21251303

RESUMO

New York City (NYC) emerged as a coronavirus disease 2019 (COVID-19) epicenter in March 2020, but there is limited information regarding potentially unrecognized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections before the first reported case. We utilized a sample pooling strategy to screen for SARS-CoV-2 RNA in de-identified, respiratory pathogen-negative nasopharyngeal specimens from 3,040 patients across our NYC health system who were evaluated for respiratory symptoms or influenza-like illness during the first 10 weeks of 2020. We obtained complete SARS-CoV-2 genome sequences from samples collected between late February and early March. Additionally, we detected SARS-CoV-2 RNA in pooled specimens collected in the week ending 25 January 2020, indicating that SARS-CoV-2 caused sporadic infections in NYC a full month before the first officially documented case.

7.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20056929

RESUMO

New York City (NYC) has emerged as one of the epicenters of the current SARS-CoV2 pandemic. To identify the early events underlying the rapid spread of the virus in the NYC metropolitan area, we sequenced the virus causing COVID19 in patients seeking care at the Mount Sinai Health System. Phylogenetic analysis of 84 distinct SARS-CoV2 genomes indicates multiple, independent but isolated introductions mainly from Europe and other parts of the United States. Moreover, we find evidence for community transmission of SARS-CoV2 as suggested by clusters of related viruses found in patients living in different neighborhoods of the city.

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