Evidence map›Paper›PMID 31235762›Full record

ArticleScientific reports2019

High level of soluble human leukocyte antigen (HLA)-G at beginning of pregnancy as predictor of risk of malaria during infancy.

Tania C d'Almeida, Ibrahim Sadissou, Mermoz Sagbohan, Jacqueline Milet, Euripide Avokpaho, Laure Gineau, Audrey Sabbagh, Kabirou Moutairou, Eduardo A Donadi, Benoit Favier and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

19 authors.

Tania C d'AlmeidaUniversité Pierre et Marie Curie, Paris VI, France.
Ibrahim SadissouIRD, UMR 261, Centre d'Étude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Faculté des Sciences de la Santé, Cotonou, Benin.
Mermoz SagbohanIRD, UMR 261, Centre d'Étude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Faculté des Sciences de la Santé, Cotonou, Benin.
Jacqueline MiletMERIT, IRD, Université Paris Descartes, Paris, 75006, France.
Euripide AvokpahoIRD, UMR 261, Centre d'Étude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Faculté des Sciences de la Santé, Cotonou, Benin.ORCID http://orcid.org/0000-0003-2321-0505
Laure GineauMERIT, IRD, Université Paris Descartes, Paris, 75006, France.
Audrey SabbaghMERIT, IRD, Université Paris Descartes, Paris, 75006, France.
Kabirou MoutairouUniversité d'Abomey-Calavi, Cotonou, Benin.
Eduardo A DonadiDivision of Clinical Immunology, School of Medicine of Ribeirão Preto, University of São Paulo, São Paulo, Brazil.
Benoit FavierCommissariat à l'Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, Institut de Biologie François Jacob, Service de Recherches en Hémato-Immunologie, Hôpital Saint-Louis, IUH, Paris, France.
Cédric PennetierUMR MIVEGEC (IRD-CNRS-UM), Montpellier, France.
Thierry BaldetUMR MIVEGEC (IRD-CNRS-UM), Montpellier, France.
Nicolas MoirouxUMR MIVEGEC (IRD-CNRS-UM), Montpellier, France.ORCID http://orcid.org/0000-0001-6755-6167
Edgardo CarosellaCommissariat à l'Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, Institut de Biologie François Jacob, Service de Recherches en Hémato-Immunologie, Hôpital Saint-Louis, IUH, Paris, France.
Philippe MoreauCommissariat à l'Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, Institut de Biologie François Jacob, Service de Recherches en Hémato-Immunologie, Hôpital Saint-Louis, IUH, Paris, France.
Nathalie Rouas-FreissCommissariat à l'Énergie Atomique et aux Énergies Alternatives, Direction de la Recherche Fondamentale, Institut de Biologie François Jacob, Service de Recherches en Hémato-Immunologie, Hôpital Saint-Louis, IUH, Paris, France.
Gilles CottrellMERIT, IRD, Université Paris Descartes, Paris, 75006, France.
David CourtinMERIT, IRD, Université Paris Descartes, Paris, 75006, France.
André GarciaMERIT, IRD, Université Paris Descartes, Paris, 75006, France. andre.garcia@ird.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Placental malaria has been associated with an immune tolerance phenomenon and a higher susceptibility to malaria infection during infancy. HLA-G is involved in fetal maternal immune tolerance by inhibiting maternal immunity. During infections HLA-G can be involved in immune escape of pathogens by creating a tolerogenic environment. Recent studies have shown an association between the risk of malaria and HLA-G at both genetic and protein levels. Moreover, women with placental malaria have a higher probability of giving birth to children exhibiting high sHLA-G, independently of their own level during pregnancy. Our aim was to explore the association between the level of maternal soluble HLA-G and the risk of malaria infection in their newborns. Here, 400 pregnant women and their children were actively followed-up during 24 months. The results show a significant association between the level of sHLA-G at the first antenatal visit and the time to first malaria infection during infancy adjusted to the risk of exposure to vector bites (aHR = 1.02, 95%CI [1.01-1.03], p = 0.014). The level of sHLA-G is a significant predictor of the occurrence of malaria infection during infancy consistent with the hypothesis that mother sHLA-G could be a biomarker of malaria susceptibility in children.

Indexed as

AdultFemaleHLA-G AntigensHumansInfantMalariaMalePregnancyProportional Hazards ModelsRisk AssessmentSolubilityHLA-G Antigens

Identifiers

PMID31235762
PMCPMC6591392

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.