Literature DB >> 33380736

Hydrogel particles improve detection of SARS-CoV-2 RNA from multiple sample types.

R A Barclay1, I Akhrymuk2, A Patnaik1, V Callahan2, C Lehman2, P Andersen1, R Barbero1, S Barksdale1, R Dunlap1, D Goldfarb1, T Jones-Roe1, R Kelly1, B Kim1, S Miao1, A Munns1, D Munns1, S Patel1, E Porter1, R Ramsey1, S Sahoo1, O Swahn1, J Warsh1, K Kehn-Hall2, B Lepene3.   

Abstract

Here we present a rapid and versatile method for capturing and concentrating SARS-CoV-2 from contrived transport medium and saliva samples using affinity-capture magnetic hydrogel particles. We demonstrate that the method concentrates virus from 1 mL samples prior to RNA extraction, substantially improving detection of virus using real-time RT-PCR across a range of viral titers (100-1,000,000 viral copies/mL) and enabling detection of virus using the 2019 nCoV CDC EUA Kit down to 100 viral copies/mL. This method is compatible with commercially available nucleic acid extraction kits (i.e., from Qiagen) and a simple heat and detergent method that extracts viral RNA directly off the particle, allowing a sample processing time of 10 min. We furthermore tested our method in transport medium diagnostic remnant samples that previously had been tested for SARS-CoV-2, showing that our method not only correctly identified all positive samples but also substantially improved detection of the virus in low viral load samples. The average improvement in cycle threshold value across all viral titers tested was 3.1. Finally, we illustrate that our method could potentially be used to enable pooled testing, as we observed considerable improvement in the detection of SARS-CoV-2 RNA from sample volumes of up to 10 mL.

Entities:  

Year:  2020        PMID: 33380736     DOI: 10.1038/s41598-020-78771-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  3 in total

1.  Prognostic Metrics Associated with Inflammation and Atherosclerosis Signaling Evaluate the Burden of Adverse Clinical Outcomes in Ischemic Stroke Patients.

Authors:  Daoxia Guo; Zhengbao Zhu; Chongke Zhong; Aili Wang; Xuewei Xie; Tan Xu; Yanbo Peng; Hao Peng; Qunwei Li; Zhong Ju; Deqin Geng; Jing Chen; Liping Liu; Yilong Wang; Jiang He; Yonghong Zhang
Journal:  Clin Chem       Date:  2020-11-01       Impact factor: 8.327

2.  Evaluation of a quantitative RT-PCR assay for the detection of the emerging coronavirus SARS-CoV-2 using a high throughput system.

Authors:  Susanne Pfefferle; Svenja Reucher; Dominic Nörz; Marc Lütgehetmann
Journal:  Euro Surveill       Date:  2020-03

3.  Serology- and PCR-based cumulative incidence of SARS-CoV-2 infection in adults in a successfully contained early hotspot (CoMoLo study), Germany, May to June 2020.

Authors:  Claudia Santos-Hövener; Hannelore K Neuhauser; Angelika Schaffrath Rosario; Markus Busch; Martin Schlaud; Robert Hoffmann; Antje Gößwald; Carmen Koschollek; Jens Hoebel; Jennifer Allen; Antje Haack-Erdmann; Stefan Brockmann; Thomas Ziese; Andreas Nitsche; Janine Michel; Sebastian Haller; Hendrik Wilking; Osamah Hamouda; Victor M Corman; Christian Drosten; Lars Schaade; Lothar H Wieler; Thomas Lampert
Journal:  Euro Surveill       Date:  2020-11
  3 in total
  2 in total

Review 1.  Recent Advances in Polymer Additive Engineering for Diagnostic and Therapeutic Hydrogels.

Authors:  Sang-Wook Bae; Jiyun Kim; Sunghoon Kwon
Journal:  Int J Mol Sci       Date:  2022-03-09       Impact factor: 5.923

2.  Rapid, Large-Scale Wastewater Surveillance and Automated Reporting System Enable Early Detection of Nearly 85% of COVID-19 Cases on a University Campus.

Authors:  Smruthi Karthikeyan; Andrew Nguyen; Daniel McDonald; Yijian Zong; Nancy Ronquillo; Junting Ren; Jingjing Zou; Sawyer Farmer; Greg Humphrey; Diana Henderson; Tara Javidi; Karen Messer; Cheryl Anderson; Robert Schooley; Natasha K Martin; Rob Knight
Journal:  mSystems       Date:  2021-08-10       Impact factor: 6.496

  2 in total

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