Evidence map›Paper›PMID 33430059›Full record

ArticleViruses2021

Pregnant Women Infected with Zika Virus Show Higher Viral Load and Immunoregulatory Cytokines Profile with CXCL10 Increase.

Elizabeth Camacho-Zavala, Clara Santacruz-Tinoco, Esteban Muñoz, Rommel Chacón-Salinas, Ma Isabel Salazar-Sanchez, Concepción Grajales, Joaquin González-Ibarra, Victor Hugo Borja-Aburto, Thomas Jaenisch, Cesar R Gonzalez-Bonilla

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 15 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

10 authors at 3 institutions in 2 countries.

Elizabeth Camacho-ZavalaDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, Instituto Mexicano del Seguro Social, CDMX 07760 Mexico City, Mexico.ORCID 0000-0002-5119-8673
Clara Santacruz-TinocoDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, Instituto Mexicano del Seguro Social, CDMX 07760 Mexico City, Mexico.
Esteban MuñozDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, Instituto Mexicano del Seguro Social, CDMX 07760 Mexico City, Mexico.ORCID 0000-0002-1289-4457
Rommel Chacón-SalinasDepartamento de Inmunología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, CDMX 11340 Mexico City, Mexico.ORCID 0000-0002-4500-0253
Ma Isabel Salazar-SanchezDepartamento de Inmunología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, CDMX 11340 Mexico City, Mexico.ORCID 0000-0003-2490-8462
Concepción GrajalesCoordinación de Control Técnico de Insumos, Instituto Mexicano del Seguro Social, CDMX 07760 Mexico City, Mexico.
Joaquin González-IbarraCoordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, CDMX 06720 Mexico City, Mexico.ORCID 0000-0003-0159-3357
Victor Hugo Borja-AburtoDirección de Prestaciones Médicas, Instituto Mexicano del Seguro Social, CDMX 06720 Mexico City, Mexico.
Thomas JaenischHeidelberg Institute of Global Health (HIGH) and Tropical Medicine, Dept. of Infectious Diseases, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Cesar R Gonzalez-BonillaCoordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, CDMX 06720 Mexico City, Mexico.ORCID 0000-0002-2225-5069
Mexican Social Security Institute · MXInstituto Politécnico Nacional · MXHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZika virus (ZIKV) infection during pregnancy usually shows only mild symptoms and is frequently subclinical. However, it can be vertically transmitted to the fetus, causing microcephaly and other congenital defects. During pregnancy, the immune environment modifications can alter the response to viruses in general and ZIKV in particular.

objectiveTo describe the role of pregnancy in the systemic pro- and anti-inflammatory response during symptomatic ZIKV infection. MATERIALS AND

methodsA multiplex assay was used to measure 25 cytokines, chemokines, and receptors in 110 serum samples from pregnant and nonpregnant women with and without ZIKV infection with and without symptoms. Samples were collected through an epidemiological surveillance system.

resultsSamples from pregnant women with ZIKV infection showed a higher viral load but had similar profiles of inflammatory markers as compared with nonpregnant infected women, except for CXCL10 that was higher in infected pregnant women. Notably, the presence of ZIKV in pregnancy favored a regulatory profile by significantly increasing anti-inflammatory cytokines such as interleukin (IL)-10, receptors IL-1RA, and IL-2R, but only those pro-inflammatory cytokines such as IL-6, interferon (IFN)-α, IFN-γ and IL-17 that are essential for the antiviral response. Interestingly, there were no differences between symptomatic and weakly symptomatic ZIKV-infected groups.

conclusionOur results revealed a systemic anti-inflammatory cytokine and chemokine profile that could participate in the control of the virus. The anti-inflammatory response in pregnant women infected with ZIKA was characterized by high CXCL10, a cytokine that has been correlated with congenital malformations.

Indexed as

Viral LoadAdultBiomarkersChemokine CXCL10CytokinesFemaleHumansImmunomodulationPregnancyPregnancy Complications, InfectiousPregnancy TrimestersYoung AdultZika VirusZika Virus InfectionBiomarkersChemokine CXCL10CXCL10 protein, humanCytokinescytokinespregnant womenZika virus infection

Identifiers

PMID33430059
PMCPMC7827657
OpenAlexW3119784991

What OpenQuestion holds

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LicenceCC BY
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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.