Evidence map›Paper›PMID 34267520›Full record

ArticleInternational journal of nanomedicine2021

AuNP Coupled Rapid Flow-Through Dot-Blot Immuno-Assay for Enhanced Detection of SARS-CoV-2 Specific Nucleocapsid and Receptor Binding Domain IgG.

Bijon Kumar Sil, Mohd Raeed Jamiruddin, Md Ahsanul Haq, Mohib Ullah Khondoker, Nowshin Jahan, Shahad Saif Khandker, Tamanna Ali, Mumtarin Jannat Oishee, Taku Kaitsuka, Masayasu Mie and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 20 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

14 authors at 7 institutions in 3 countries.

Bijon Kumar SilGonoshasthaya-RNA Molecular Diagnostic and Research Center, Dhaka, 1205, Bangladesh.ORCID 0000-0002-2777-8387
Mohd Raeed JamiruddinDepartment of Pharmacy, BRAC University, Dhaka, 1212, Bangladesh.ORCID 0000-0003-0495-4808
Md Ahsanul HaqGonoshasthaya-RNA Molecular Diagnostic and Research Center, Dhaka, 1205, Bangladesh.ORCID 0000-0002-4408-6104
Mohib Ullah KhondokerGonoshasthaya Samaj Vittik Medical College, Savar, Dhaka, 1344, Bangladesh.ORCID 0000-0003-1021-4435
Nowshin JahanGonoshasthaya-RNA Molecular Diagnostic and Research Center, Dhaka, 1205, Bangladesh.ORCID 0000-0001-6507-7031
Shahad Saif KhandkerGonoshasthaya-RNA Molecular Diagnostic and Research Center, Dhaka, 1205, Bangladesh.ORCID 0000-0003-4724-0645
Tamanna AliGonoshasthaya-RNA Molecular Diagnostic and Research Center, Dhaka, 1205, Bangladesh.ORCID 0000-0001-9139-6095
Mumtarin Jannat OisheeGonoshasthaya-RNA Molecular Diagnostic and Research Center, Dhaka, 1205, Bangladesh.ORCID 0000-0001-5101-9930
Taku KaitsukaSchool of Pharmacy, International University of Health and Welfare, Okawa, Fukuoka, 831-8501, Japan.ORCID 0000-0001-5556-8179
Masayasu MieSchool of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Kanagawa, 226-8502, Japan.ORCID 0000-0003-2255-3346
Kazuhito TomizawaDepartment of Molecular Physiology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, 860-0811, Japan.ORCID 0000-0002-5663-2627
Eiry KobatakeSchool of Life Science and Technology, Tokyo Institute of Technology, Yokohama, Kanagawa, 226-8502, Japan.ORCID 0000-0002-2468-5804
Mainul HaqueThe Unit of Pharmacology, Faculty of Medicine and Defence Health Universiti Pertahanan, Nasional Malaysia (National Defence University of Malaysia), Kuala Lumpur, 57000, Malaysia.ORCID 0000-0002-6124-7993
Nihad AdnanDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.ORCID 0000-0002-4999-4793
Gono University · BDTokyo Institute of Technology · JPBRAC University · BDFukuoka International University · JPJahangirnagar University · BDKumamoto University · JPNational Defence University of Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerological tests detecting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are widely used in seroprevalence studies and evaluating the efficacy of the vaccination program. Some of the widely used serological testing techniques are enzyme-linked immune-sorbent assay (ELISA), chemiluminescence immunoassay (CLIA), and lateral flow immunoassay (LFIA). However, these tests are plagued with low sensitivity or specificity, time-consuming, labor-intensive, and expensive. We developed a serological test implementing flow-through dot-blot assay (FT-DBA) for SARS-CoV-2 specific IgG detection, which provides enhanced sensitivity and specificity while being quick to perform and easy to use.

methodsSARS-CoV-2 antigens were immobilized on nitrocellulose membrane to capture human IgG, which was then detected with anti-human IgG conjugated gold nanoparticle (hIgG-AuNP). A total of 181 samples were analyzed in-house. Within which 35 were further evaluated in US FDA-approved CLIA Elecsys SARS-CoV-2 assay. The positive panel consisted of RT-qPCR positive samples from patients with both <14 days and >14 days from the onset of clinical symptoms. The negative panel contained samples collected from the pre-pandemic era dengue patients and healthy donors during the pandemic. Moreover, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of FT-DBA were evaluated against RT-qPCR positive sera. However, the overall efficacies were assessed with sera that seroconverted against either nucleocapsid (NCP) or receptor-binding domain (RBD).

resultsIn-house ELISA selected a total of 81 true seropositive and 100 seronegative samples. The sensitivity of samples with <14 days using FT-DBA was 94.7%, increasing to 100% for samples >14 days. The overall detection sensitivity and specificity were 98.8% and 98%, respectively, whereas the overall PPV and NPV were 99.6% and 99%. Moreover, comparative analysis between in-house ELISA assays and FT-DBA revealed clinical agreement of Cohen's Kappa value of 0.944. The FT-DBA showed sensitivity and specificity of 100% when compared with commercial CLIA kits.

conclusionThe assay can confirm past SARS-CoV-2 infection with high accuracy within 2 minutes compared to commercial CLIA or in-house ELISA. It can help track SARS-CoV-2 disease progression, population screening, and vaccination response. The ease of use of the assay without requiring any instruments while being semi-quantitative provides the avenue of its implementation in remote areas around the globe, where conventional serodiagnosis is not feasible.

Indexed as

AdultAntibodies, ViralGoldHumansImmunoblottingImmunoglobulin GMaleMetal NanoparticlesNucleocapsidPredictive Value of TestsSARS-CoV-2Sensitivity and SpecificitySeroepidemiologic StudiesAntibodies, ViralGoldImmunoglobulin GAuNPCOVID-19dot-blot immunoassaygold nanoparticlenucleocapsidreceptor binding domainSARS-CoV-2serosurveillance

Identifiers

PMID34267520
PMCPMC8277418
OpenAlexW3178505278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.