Evidence map›Paper›PMID 33564711›Full record

ArticleGenes & diseases2022

A peptide-based assay discriminates individual antibody response to SARS-CoV-2.

Immacolata Polvere, Serena Voccola, Gaetano Cardinale, Maurizio Fumi, Francesca Aquila, Alfredina Parrella, Jessica Raffaella Madera, Romania Stilo, Pasquale Vito, Tiziana Zotti

Abstract read
In one paragraph

Article in Genes & diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

10 authors.

Immacolata PolvereDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Via dei Mulini snc, 82100 Benevento, Italy.
Serena VoccolaDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Via dei Mulini snc, 82100 Benevento, Italy.
Gaetano CardinaleGenus Biotech, Università degli Studi del Sannio, Via Appia s.n.c. 82030 Apollosa (BN), Italy.
Maurizio FumiAzienda Ospedaliera San Pio, Via Pacevecchia, 53, 82100 Benevento (BN), Italy.
Francesca AquilaAzienda Ospedaliera San Pio, Via Pacevecchia, 53, 82100 Benevento (BN), Italy.
Alfredina ParrellaGenus Biotech, Università degli Studi del Sannio, Via Appia s.n.c. 82030 Apollosa (BN), Italy.
Jessica Raffaella MaderaDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Via dei Mulini snc, 82100 Benevento, Italy.
Romania StiloDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Via dei Mulini snc, 82100 Benevento, Italy.
Pasquale VitoDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Via dei Mulini snc, 82100 Benevento, Italy.
Tiziana ZottiDipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Via dei Mulini snc, 82100 Benevento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 virus is responsible for the current worldwide coronavirus disease 2019 (COVID-19) pandemic, infecting millions of people and causing hundreds of thousands of deaths. Understanding the antibody response to SARS-CoV-2 is crucial for the development of vaccines, therapeutics and public health interventions. However, lack of consistency in methods used to monitor antibody response to SARS-CoV-2 leaves some uncertainty in our fine understanding of the human antibody response mounted following SARS-CoV-2 infection. We developed a peptide-based enzyme-linked immunosorbent assay (ELISA) by selecting 7 synthetic peptides from the spike, membrane, and nucleocapsid protein sequences of SARS-CoV-2, which effectively detects the antibody response mounted by all COVID-19 convalescent tested. Strikingly, the assay shows a profound difference in antibody response among individual subjects, which may have a significant impact on disease severity. Together, our results define an efficient and specific serological assay to consistently measure the antibody response following SARS-CoV-2 infection, as well as help the design of vaccine and therapeuticals for prevention and treatment of COVID-19.

Indexed as

AntibodiesAssayCOVID-19ELISAPeptidesSARS-Cov-2

Identifiers

PMID33564711
PMCPMC7862034

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.