Evidence map›Paper›PMID 34677323›Full record

ArticleBiosensors2021

Optical Biosensor Platforms Display Varying Sensitivity for the Direct Detection of Influenza RNA.

Samantha J Courtney, Zachary R Stromberg, Adán Myers Y Gutiérrez, Daniel Jacobsen, Loreen R Stromberg, Kiersten D Lenz, James Theiler, Brian T Foley, Jason Gans, Karina Yusim and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Samantha J CourtneyPhysical Chemistry and Applied Spectroscopy, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Zachary R StrombergPhysical Chemistry and Applied Spectroscopy, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-1137-1128
Adán Myers Y GutiérrezBiosecurity and Public Health, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-3457-1632
Daniel JacobsenPhysical Chemistry and Applied Spectroscopy, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Loreen R StrombergPhysical Chemistry and Applied Spectroscopy, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0003-1715-1211
Kiersten D LenzPhysical Chemistry and Applied Spectroscopy, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-7832-7586
James TheilerSpace Data Science and Systems, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0003-1888-3684
Brian T FoleyTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0002-1086-0296
Jason GansBiosecurity and Public Health, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Karina YusimTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Jessica Z Kubicek-SutherlandPhysical Chemistry and Applied Spectroscopy, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID 0000-0001-6215-4871

Funding

Los Alamos National Laboratory 20190392ERLos Alamos National Laboratory 20190614PRDLos Alamos National Laboratory Technology Evaluation and Demonstration Funds
6 · The paper itself

Abstract

Detection methods that do not require nucleic acid amplification are advantageous for viral diagnostics due to their rapid results. These platforms could provide information for both accurate diagnoses and pandemic surveillance. Influenza virus is prone to pandemic-inducing genetic mutations, so there is a need to apply these detection platforms to influenza diagnostics. Here, we analyzed the Fast Evaluation of Viral Emerging Risks (FEVER) pipeline on ultrasensitive detection platforms, including a waveguide-based optical biosensor and a flow cytometry bead-based assay. The pipeline was also evaluated in silico for sequence coverage in comparison to the U.S. Centers for Disease Control and Prevention's (CDC) influenza A and B diagnostic assays. The influenza FEVER probe design had a higher tolerance for mismatched bases than the CDC's probes, and the FEVER probes altogether had a higher detection rate for influenza isolate sequences from GenBank. When formatted for use as molecular beacons, the FEVER probes detected influenza RNA as low as 50 nM on the waveguide-based optical biosensor and 1 nM on the flow cytometer. In addition to molecular beacons, which have an inherently high background signal we also developed an exonuclease selection method that could detect 500 pM of RNA. The combination of high-coverage probes developed using the FEVER pipeline coupled with ultrasensitive optical biosensors is a promising approach for future influenza diagnostic and biosurveillance applications.

Indexed as

Influenza, HumanNucleic Acid Amplification TechniquesBiosensing TechniquesHumansOrthomyxoviridaeRNASensitivity and SpecificityRNAbiosensordetectiondiagnosticsflow cytometerinfluenzaRNAwaveguide

Identifiers

PMID34677323
PMCPMC8534094

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.