Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Smruthi Karthikeyan; Joshua I Levy; Peter De Hoff; Greg Humphrey; Amanda Birmingham; Kristen Jepsen; Sawyer Farmer; Helena M. Tubb; Tommy Valles; Caitlin E Tribelhorn; Rebecca Tsai; Stefan Aigner; Shashank Sathe; Niema Moshiri; Benjamin Henson; Abbas Hakim; Nathan A Baer; Tom Barber; Pedro Belda-Ferre; Marisol Chacon; Willi Cheung; Evelyn S Crescini; Emily R Eisner; Alma L Lastrella; Elijah S Lawrence; Clarisse A Marotz; Toan T Ngo; Tyler Ostrander; Ashley Plascencia; Rodolfo A Salido; Phoebe Seaver; Elizabeth W Smoot; Daniel McDonald; Robert M Neuhard; Angela L Scioscia; Alysson M. Satterlund; Elizabeth H Simmons; Dismas B. Abelman; David Brenner; Judith Carbone Bruner; Anne Buckley; Michael Ellison; Jeffrey Gattas; Steven L Gonias; Matt Hale; Faith Kirkham Hawkins; Lydia Ikeda; Hemlata Jhaveri; Ted Johnson; Vince Kellen; Brendan Kremer; Gary C. Matthews; Ronald McLawhon; Pierre Ouillet; Daniel Park; Allorah Pradenas; Sharon Reed; Lindsay Riggs; Alison M. Sanders; Bradley Sollenberger; Angela Song; Benjamin White; Terri Winbush; Christine M Aceves; Catelyn Anderson; Karthik Gangavarapu; Emory Hufbauer; Ezra Kurzban; Justin Lee; Nathaniel L Matteson; Edyth Parker; Sarah A Perkins; Karthik S Ramesh; Refugio Robles-Sikisaka; Madison A Schwab; Emily Spencer; Shirlee Wohl; Laura Nicholson; Ian H Mchardy; David P Dimmock; Charlotte A Hobbs; Omid Bakhtar; Aaron Harding; Art Mendoza; Alexandre Bolze; David Becker; Elizabeth T Cirulli; Magnus Isaksson; Kelly M Schiabor Barrett; Nicole L Washington; John D Malone; Ashleigh Murphy Schafer; Nikos Gurfield; Sarah Stous; Rebecca Fielding-Miller; Tommi Gaines; Richard Garfein; Cheryl A. M. Anderson; Natasha K. Martin; Robert T Schooley; Brett Austin; Duncan R. MacCannell; Stephen F Kingsmore; William Lee; Seema Shah; Eric McDonald; Alexander T. Yu; Mark Zeller; Kathleen M Fisch; Christopher A. Longhurst; Patty Maysent; David Pride; Pradeep K. Khosla; Louise C Laurent; Gene W Yeo; Kristian G Andersen; Rob Knight.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21268143

RESUMO

As SARS-CoV-2 continues to spread and evolve, detecting emerging variants early is critical for public health interventions. Inferring lineage prevalence by clinical testing is infeasible at scale, especially in areas with limited resources, participation, or testing/sequencing capacity, which can also introduce biases. SARS-CoV-2 RNA concentration in wastewater successfully tracks regional infection dynamics and provides less biased abundance estimates than clinical testing. Tracking virus genomic sequences in wastewater would improve community prevalence estimates and detect emerging variants. However, two factors limit wastewater-based genomic surveillance: low-quality sequence data and inability to estimate relative lineage abundance in mixed samples. Here, we resolve these critical issues to perform a high-resolution, 295-day wastewater and clinical sequencing effort, in the controlled environment of a large university campus and the broader context of the surrounding county. We develop and deploy improved virus concentration protocols and deconvolution software that fully resolve multiple virus strains from wastewater. We detect emerging variants of concern up to 14 days earlier in wastewater samples, and identify multiple instances of virus spread not captured by clinical genomic surveillance. Our study provides a scalable solution for wastewater genomic surveillance that allows early detection of SARS-CoV-2 variants and identification of cryptic transmission.

2.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21253299

RESUMO

BackgroundThe severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has infected over 110 million individuals and led to 2.5 million deaths worldwide. As more individuals are vaccinated, the clinical performance and utility of SARS-CoV-2 serology platforms needs to be evaluated. MethodsThe ability of four commercial SARS-CoV-2 serology platforms to detect previous infection or vaccination were evaluated using a cohort of 53 SARS-CoV-2 PCR-positive patients, 89 SARS-CoV-2-vaccinated healthcare workers (Pfizer or Moderna), and 127 SARS-CoV-2 negative patients. Serology results were compared to a cell based SARS-CoV-2 pseudovirus (PSV) neutralizing antibodies assay. ResultsThe Roche S-(spike) antibody and Diazyme neutralizing antibodies (NAbs) assays detected adaptive immune response in 100.0% and 90.1% of vaccinated individuals who received two-doses of vaccine (initial and booster), respectively. The Roche N-(nucleocapsid) antibody assay and Diazyme IgG assay did not detect adaptive immune response in vaccinated individuals. The Diazyme Nabs assay correlated with the PSV SARS-CoV-2 ID50 neutralization titers (R2= 0.70), while correlation of the Roche S-antibody assay was weaker (R2= 0.39). Median PSV SARS-CoV-2 ID50 titers more than doubled in vaccinated individuals who received two-doses of the Moderna vaccine (ID50: 597) compared to individuals that received a single dose (ID50: 284). ConclusionsThe Roche S-antibody and Diazyme NAbs assays robustly detected adaptive immune responses in SARS-CoV-2 vaccinated individuals and SARS-CoV-2 infected individuals. The Diazyme NAbs assay strongly correlates with the PSV SARS-CoV-2 NAbs in vaccinated individuals. Understanding the reactivity of commercially available serology platforms is important when distinguishing vaccination response versus natural infection. SummaryThe Roche S (spike protein)-antibody and Diazyme neutralizing-antibodies (NAbs) assays were evaluated for their clinical utility in the detection of SARS-CoV-2 related adaptive immune responses by testing SARS-CoV-2 PCR-confirmed patients, SARS-CoV-2-vaccinated individuals, and SARS-CoV-2-negative individuals. Commercial serology results were compared to results generated using a cell-based SARS-CoV-2 pseudovirus (PSV) NAbs assay and previously validated SARS-CoV-2 commercial serology assays (Roche N (nucleocapsid protein) antibody and Diazyme IgG). We demonstrate that the Roche S-antibody and Diazyme NAbs assays detected adaptive immune response in SARS-CoV-2 vaccinated individuals and the presence of SARS-CoV-2 PSV NAbs. The Roche S-antibody assay had an observed positive percent agreement (PPA) of 100% for individuals who received two doses of the Pfizer or Moderna vaccine. By contrast, the Roche N assay and Diazyme IgG assay did not detect vaccine adaptive immune responses. Our findings also indicate that the Diazyme NAbs assay correlates strongly with the levels of SARS-CoV-2 ID50 neutralization titers using the PSV Nab assay in vaccinated individuals.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...