Evidence map›Paper›PMID 34935364›Full record

ArticleAnalytical chemistry2022

Plasmonically Enhanced Ultrasensitive Epitope-Specific Serologic Assay for COVID-19.

Zheyu Wang, Jeremiah J Morrissey, Lin Liu, Yixuan Wang, Qingjun Zhou, Rajesh R Naik, Srikanth Singamaneni

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

7 authors at 2 institutions in 1 country.

Zheyu WangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0002-8703-6334
Jeremiah J MorrisseyDepartment of Anesthesiology, Division of Clinical and Translational Research, Washington University in St. Louis, St. Louis, Missouri 63110, United States.ORCID 0000-0002-9911-4811
Lin LiuDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Yixuan WangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Qingjun ZhouDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Rajesh R Naik711th Human Performance Wing, Air Force Research Laboratory, Wright Patterson Air Force Base, Dayton, Ohio 45433, United States.ORCID 0000-0002-7677-928X
Srikanth SingamaneniDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0002-7203-2613
Washington University in St. Louis · USWright-Patterson Air Force Base · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
URINARY BIOMARKERS OF RENAL CELL CARCINOMASR01CA141521 · NCI · WASHINGTON UNIVERSITY · PI MORRISSEY, JEREMIAH J · 2011 to 2019
$2.6M
METAL-ORGANIC FRAMEWORK AS PROTECTIVE COATING FOR CANCER BIOSPECIMEN PRESERVATIONR21CA236652 · NCI · WASHINGTON UNIVERSITY · PI MORRISSEY, JEREMIAH J, SINGAMANENI, SRIKANTH · 2019 to 2021
$705k
NCATS NIH HHS UL1 TR002345NCI NIH HHS R01 CA141521NCI NIH HHS R21 CA236652
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has rapidly spread and resulted in the global pandemic of COVID-19. Although IgM/IgG serology assay has been widely used, with the entire spike or nucleocapsid antigens, they only indicate the presence or absence of antibodies against these proteins but are not specific to the neutralization antibodies, therefore providing only generic information about infection stage and possible future immune protection. Novel technologies enabling easy-to-use and sensitive detection of multiple specific antibodies simultaneously will facilitate precise diagnosis of infection stage, prediction of clinical outcomes, and evaluation of future immune protection upon viral exposure or vaccination. Here, we demonstrate a rapid and ultrasensitive quantification method for epitope-specific antibodies, including different isotypes and subclasses, in a multiplexed manner. Using an ultrabright fluorescent nanolabel, plasmonic-fluor, this novel assay can be completed in 20 min and more importantly, the limit of detection of the plasmon-enhanced immunoassay for SARS-CoV-2 antibodies is as much as 100-fold lower compared to the assays relying on enzymatic amplification of colorimetric signals. Using convalescent patient plasma, we demonstrate that this biodetection method reveals the patient-to-patient variability in immune response as evidenced by the variations in whole protein and epitope-specific antibodies. This cost-effective, rapid, and ultrasensitive plasmonically enhanced multiplexed epitope-specific serological assay has the potential to be broadly employed in the detection of specific antibodies, which may benefit the advanced epidemiology studies and enable improvement of the clinical outcomes and prediction of the future protection against the SARS-CoV-2.

Indexed as

COVID-19Antibodies, ViralEpitopesHumansPandemicsSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralEpitopes

Identifiers

PMID34935364
PMCPMC8782240
OpenAlexW4200329501

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.