Evidence map›Paper›PMID 36560554›Full record

ArticleVaccines2022

Neutralizing Antibody Responses Elicited by Inactivated Whole Virus and Genetic Vaccines against Dominant SARS-CoV-2 Variants during the Four Epidemic Peaks of COVID-19 in Colombia.

Diego A Álvarez-Díaz, Ana Luisa Muñoz, María T Herrera-Sepúlveda, Pilar Tavera-Rodríguez, Katherine Laiton-Donato, Carlos Franco-Muñoz, Héctor Alejandro Ruiz-Moreno, Marisol Galindo, Jenssy D Catama, Andrea Bermudez-Forero and 1 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. 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
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cross-reactive humoral and CD4Frontiers in immunology · 2023
    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 at 2 institutions in 1 country.

Diego A Álvarez-DíazGenómica de Microorganismos Emergentes, Dirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.ORCID 0000-0002-6534-0079
Ana Luisa MuñozFundación Banco Nacional de Sangre Hemolife, Bogotá 110911, Colombia.
María T Herrera-SepúlvedaGenómica de Microorganismos Emergentes, Dirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.
Pilar Tavera-RodríguezDirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.
Katherine Laiton-DonatoGenómica de Microorganismos Emergentes, Dirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.
Carlos Franco-MuñozGenómica de Microorganismos Emergentes, Dirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.ORCID 0000-0003-3140-8167
Héctor Alejandro Ruiz-MorenoGenómica de Microorganismos Emergentes, Dirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.ORCID 0000-0002-0378-9276
Marisol GalindoGenómica de Microorganismos Emergentes, Dirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.
Jenssy D CatamaDirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.
Andrea Bermudez-ForeroDirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.ORCID 0000-0001-7256-7215
Marcela Mercado-ReyesGenómica de Microorganismos Emergentes, Dirección de Investigación en Salud Pública, Instituto Nacional de Salud, Bogotá 111321, Colombia.
Instituto Nacional de Salud · COUniversidad Nacional de Colombia · CO

Funding

Enterritorios COL-H-ENTerritorio 1840 (Convenio No. 219139)Sistema General de Regalías (SGR) BPIN 2020000100151Unidad Nacional para la Gestión del Riesgo de Desastres (UNGRD) Decreto Legislativo 559
6 · The paper itself

Abstract

Several SARS-CoV-2 variants of concern (VOC) and interest (VOI) co-circulate in Colombia, and determining the neutralizing antibody (nAb) responses is useful to improve the efficacy of COVID-19 vaccination programs. Thus, nAb responses against SARS-CoV-2 isolates from the lineages B.1.111, P.1 (Gamma), B.1.621 (Mu), AY.25.1 (Delta), and BA.1 (Omicron), were evaluated in serum samples from immunologically naïve individuals between 9 and 13 weeks after receiving complete regimens of CoronaVac, BNT162b2, ChAdOx1, or Ad26.COV2.S, using microneutralization assays. An overall reduction of the nAb responses against Mu, Delta, and Omicron, relative to B.1.111 and Gamma was observed in sera from vaccinated individuals with BNT162b2, ChAdOx1, and Ad26.COV2.S. The seropositivity rate elicited by all the vaccines against B.1.111 and Gamma was 100%, while for Mu, Delta, and Omicron ranged between 32 to 87%, 65 to 96%, and 41 to 96%, respectively, depending on the vaccine tested. The significant reductions in the nAb responses against the last three dominant SARS-CoV-2 lineages in Colombia indicate that booster doses should be administered following complete vaccination schemes to increase the nAb titers against emerging SARS-CoV-2 lineages.

Indexed as

Ad26.COV2.SBNT162b2ChAdOx1CoronaVacDeltaGammaMuneutralizing antibodiesOmicronSARS-CoV-2vaccines

Identifiers

PMID36560554
PMCPMC9786731
OpenAlexW4311791612

What Socratic 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 Socratic graph.