Evidence map›Paper›PMID 36005017›Full record

ArticleBiosensors2022

A Rapid and Sensitive Microfluidics-Based Tool for Seroprevalence Immunity Assessment of COVID-19 and Vaccination-Induced Humoral Antibody Response at the Point of Care.

Kritika Srinivasan Rajsri, Michael P McRae, Glennon W Simmons, Nicolaos J Christodoulides, Hanover Matz, Helen Dooley, Akiko Koide, Shohei Koide, John T McDevitt

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Kritika Srinivasan RajsriDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA.ORCID 0000-0003-2877-3542
Michael P McRaeDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA.ORCID 0000-0002-2126-9442
Glennon W SimmonsDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA.
Nicolaos J ChristodoulidesDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA.
Hanover MatzDepartment of Microbiology and Immunology, Institute of Marine and Environmental Technology, University of Maryland School of Medicine, Baltimore, MD 21202, USA.ORCID 0000-0002-0669-1696
Helen DooleyDepartment of Microbiology and Immunology, Institute of Marine and Environmental Technology, University of Maryland School of Medicine, Baltimore, MD 21202, USA.ORCID 0000-0002-2570-574X
Akiko KoideDepartment of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA.
Shohei KoideDepartment of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA.
John T McDevittDepartment of Molecular Pathobiology, Division of Biomaterials, Bioengineering Institute, New York University College of Dentistry, New York, NY 10010, USA.
New York University · USUniversity of Maryland, Baltimore · US

Funding

Next Generation Tools for Onsite Monitoring and Treatment of Drug of Abuse-Dependent PersonsR42DA041959 · NIDA · SENSODX II, LLC · PI MEHALSO, ROBERT · 2019 to 2020
$1.5M
Accurate prediction of neutralization capacity from deep mining of SARS-CoV-2 serologyR21AI158997 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KOIDE, SHOHEI · 2020 to 2020
$466k
NIAID NIH HHS R21 AI158997NIDA NIH HHS R42 DA041959
6 · The paper itself

Abstract

As of 8 August 2022, SARS-CoV-2, the causative agent of COVID-19, has infected over 585 million people and resulted in more than 6.42 million deaths worldwide. While approved SARS-CoV-2 spike (S) protein-based vaccines induce robust seroconversion in most individuals, dramatically reducing disease severity and the risk of hospitalization, poorer responses are observed in aged, immunocompromised individuals and patients with certain pre-existing health conditions. Further, it is difficult to predict the protection conferred through vaccination or previous infection against new viral variants of concern (VoC) as they emerge. In this context, a rapid quantitative point-of-care (POC) serological assay able to quantify circulating anti-SARS-CoV-2 antibodies would allow clinicians to make informed decisions on the timing of booster shots, permit researchers to measure the level of cross-reactive antibody against new VoC in a previously immunized and/or infected individual, and help assess appropriate convalescent plasma donors, among other applications. Utilizing a lab-on-a-chip ecosystem, we present proof of concept, optimization, and validation of a POC strategy to quantitate COVID-19 humoral protection. This platform covers the entire diagnostic timeline of the disease, seroconversion, and vaccination response spanning multiple doses of immunization in a single POC test. Our results demonstrate that this platform is rapid (~15 min) and quantitative for SARS-CoV-2-specific IgG detection.

Indexed as

COVID-19AgedAntibodies, ViralAntibody FormationCOVID-19 SerotherapyEcosystemHumansImmunization, PassiveImmunoglobulin GMicrofluidicsPoint-of-Care SystemsSARS-CoV-2Seroepidemiologic StudiesVaccinationAntibodies, ViralImmunoglobulin Gclinical decision support toolCOVID-19diagnosticshumoral immunitymicrofluidicspoint of careSARS-CoV-2seroprevalence

Identifiers

PMID36005017
PMCPMC9405565
OpenAlexW4292506192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.