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1.
biorxiv; 2023.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2023.09.08.556703

ABSTRACT

Antibodies and helper T cells play important roles in SARS-CoV-2 infection and vaccination. We sequenced B- and T-cell receptor repertoires (BCR/TCR) from the blood of 251 infectees, vaccinees, and controls to investigate whether features of these repertoires could predict subjects' SARS-CoV-2 neutralizing antibody titer (NAbs), as measured by enzyme-linked immunosorbent assay (ELISA). We sequenced recombined immunoglobulin heavy-chain (IGH), TCRbeta (TRB), and TCRdelta (TRD) genes in parallel from all subjects, including select B- and T-cell subsets in most cases, with a focus on their hypervariable CDR3 regions, and correlated this AIRRseq data with demographics and clinical findings from subjects' electronic health records. We found that age affected NAb levels in vaccinees but not infectees. Intriguingly, we found that vaccination, but not infection, has a substantial effect on non-productively recombined IGHs, suggesting a vaccine effect that precedes clonal selection. We found that repertoires' binding capacity to known SARS-CoV-2-specific CD4+ TRBs performs as well as the best hand-tuned fuzzy matching at predicting a protective level of NAbs, while also being more robust to repertoire sample size and not requiring hand-tuning. The overall conclusion from this large, unbiased, clinically well annotated dataset is that B- and T-cell adaptive responses to SARS-CoV-2 infection and vaccination are surprising, subtle, and diffuse. We discuss methodological and statistical challenges faced in attempting to define and quantify such strong-but-diffuse repertoire signatures and present tools and strategies for addressing these challenges.


Subject(s)
COVID-19
2.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.07.29.23293373

ABSTRACT

The COVID-19 pandemic has presented unique diagnostic challenges including the need to store and test large number of samples for clinical and research studies. While SARS CoV-2 diagnosis relies on RT-qPCR and antigen testing, live virus culture remains an important surrogate for viral 'infectiousness', as we previously described in 'SARS-CoV-2 Antigen Tests Predict Infectivity Based on Viral Culture: Comparison of Antigen, PCR Viral Load and Viral Culture Testing on a Large Sample Cohort' (Clin Microbiol Infect, 2022, PMC9293398). Live virus isolation and characterization has also been important to the SARS CoV-2 research community, to assess viral fitness, cellular tropism, and live virus neutralization, particularly with the emergence of new variants. Many clinical and research studies make use of samples that are frozen in transport media and investigated at later dates. The effect of freezing on RT-qPCR results is well established. However, the effect of freeze-thaw on viral viability has not been. Here, we therefore examined the effect of freeze-thaw on viral culture isolation from a large number of clinical samples that were split, and then cultured either fresh or after being frozen for 7 or 17-18 days. Samples represented the range of viral loads (genome copies/mL) observed in our patient population. We found that freeze-thaw did not significantly affect viral culture isolation. Therefore, the ability to assess infectiousness of samples previously frozen in transport medium appears to be maintained.


Subject(s)
COVID-19 , Virus Diseases
4.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.05.05.23289582

ABSTRACT

Background: Regulatory approval of new over-the-counter tests for infectious agents such as SARS-CoV-2 has historically required that clinical trials include diverse groups of specific patient populations, making the approval process slow and expensive. Showing that populations do not differ in their viral loads---the key factor determining test performance---could expedite the evaluation of new tests. Methods. 46,726 RT-qPCR-positive SARS-CoV-2 viral loads were annotated with patient demographics and health status. Real-world performance of two commercially available antigen tests was evaluated over a wide range of viral loads. An open-access web portal was created allowing comparisons of viral-load distributions across patient groups and application of antigen-test performance characteristics to patient distributions to predict antigen-test performance on these groups. Findings. In several cases distributions were surprisingly similar where a difference was expected (e.g. smokers vs. non-smokers); in other cases there was a difference that was the opposite direction from expectations (e.g. higher in patients who identified as White vs. Black). Sensitivity and specificity of antigen tests for detecting contagiousness were similar across most groups. The portal is at https://arnaoutlab.org/coviral/. Conclusions. In silico analyses of large-scale, real-world clinical data repositories can serve as a timely evidence-based proxy for dedicated trials of antigen tests for specific populations. Free availability of richly annotated data facilitates large-scale hypothesis generation and testing.


Subject(s)
COVID-19
5.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.01.28.22269968

ABSTRACT

There has been debate in the literature about the ability of antigen tests to detect the SARS-CoV-2 Omicron variant including indication on the US Food and Drug administration website that antigen tests may have lower sensitivity for the Omicron variant without provision of data or the potential scale of the issue (see https://www.fda.gov/medical-devices/coronavirus-covid-19-and-medical-devices/sars-cov-2-viral-mutations-impact-covid-19-tests - omicronvariantimpact, accessed 1/27/2022). Here we determined the limit of detection (LoD) for the Omicron variant compared with the WA1 strain used for LoD studies described in the Instructions for Use for all Emergency Use Authorization (EUA)-approved antigen tests. Using live virus (to avoid artifactual findings potentially obtained with gamma-irradiated or heat-killed virus) quantified by plaque forming units (PFU), we examined the analytical sensitivity of three antigen tests widely used in the United States: the Abbott Binax Now, the AccessBio CareStart , and LumiraDx antigen tests. We found that the 95% detection threshold (LoD) for antigen tests was at least as good for Omicron as for the WA1 strain. Furthermore, the relationship of genome copies to plaque forming units for Omicron and WA1 overlap. Therefore, the LoD equivalency also applies if the quantitative comparator is genome copies determined from live virus preparations. Taken together, our data support the continued ability of the antigen tests examined to detect the Omicron variant.


Subject(s)
COVID-19
6.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.12.22.21268274

ABSTRACT

The relationship of SARS-CoV-2 antigen testing results, viral load, and viral culture detection remains to be fully defined. Presumptively, viral culture can provide a surrogate measure for infectivity of sampled individuals, and thereby inform how and where to most appropriately deploy available diagnostic testing modalities. We therefore determined the relationship of antigen testing results from three lateral flow and one microfluidics assay to viral culture performed in parallel in 181 nasopharyngeal swab samples positive for SARS-CoV-2. Sample viral loads, determined by RT-qPCR, were distributed across the range of viral load values observed in our testing population. We found that antigen tests were predictive of viral culture positivity, with the LumiraDx method showing enhanced sensitivity (90%; 95% confidence interval (95% CI) 83-94%) compared with the BD Veritor (74%, 95% CI 65-81%), CareStart (74%, 95% CI 65-81%) and Oscar Corona (74%, 95% CI 65-82%) lateral flow antigen tests. Antigen and viral culture positivity were also highly correlated with sample viral load, with areas under the receiver?operator characteristic curves (ROCs) of 0.94-0.97 and 0.92, respectively. In particular, a viral load threshold of 100,000 copies/mL was 95% sensitive (95% CI, 90-98%) and 72% specific (95% CI, 60-81%) for predicting viral culture positivity. Taken together, the detection of SARS-CoV-2 antigen identified highly infectious individuals, some of whom may harbor 10,000-fold more virus in their samples than those with any detectable infectious virus. As such, our data support use of antigen testing in defining infectivity status at the time of sampling.

7.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.04.21.21255621

ABSTRACT

Abstract Background. The continued need for molecular testing for SARS-CoV-2 and promise of self-collected saliva as an alternative to nasopharyngeal (NP) swabs for sample acquisition led us to compare saliva to NP swabs in an outpatient setting, without special restrictions to avoid food, drink, smoking, or toothbrushing. Methods. A total of 385 pairs of NP and saliva specimens were obtained, the majority from individuals presenting for initial evaluation, and were tested on two high-sensitivity RT-PCR platforms: the Abbott m2000 and Abbott Alinity m, both with limits of detection (LoD) of 100 copies of viral RNA/mL. Results. Concordance between saliva and NP was excellent overall (Cohen's {kappa}=0.93) for initial as well as followup testing on both platforms, and for specimens treated with guanidinium transport medium as preservative and for untreated saliva ({kappa}=0.88-0.95). Viral loads were on average 16x higher in NP specimens than saliva specimens, suggesting that only the relatively small fraction of outpatients (~8% in this study) who present with very low viral loads (<1,600 copies/mL from NP swabs) would be missed by saliva testing relative to NP testing, for sensitive testing platforms. Special attention was necessary to ensure leak-resistant specimen collection and transport. Conclusions. The advantages of self-collection without additional restrictions will likely outweigh a minor potential decrease in clinical sensitivity in individuals less likely to pose an infectious risk to others for many real-world scenarios, especially for initial testing.

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