Evidence map›Paper›PMID 23497646›Full record

ArticleParasites & vectors2013

gSG6-P1 salivary biomarker discriminates micro-geographical heterogeneity of human exposure to Anopheles bites in low and seasonal malaria areas.

André Barembaye Sagna, Jean Biram Sarr, Lobna Gaayeb, Papa Makhtar Drame, Mamadou Ousmane Ndiath, Simon Senghor, Cheikh Saya Sow, Anne Poinsignon, Modou Seck, Emmanuel Hermann and 5 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. eLife · 2021
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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

André Barembaye SagnaCentre de Recherche Biomédicale (CRB) Espoir Pour La Santé, 269 Route de la corniche, Sor - BP: 226, Saint-Louis, Sénégal. andre.sagna@espoir-sante.org
Jean Biram Sarr
Lobna Gaayeb
Papa Makhtar Drame
Mamadou Ousmane Ndiath
Simon Senghor
Cheikh Saya Sow
Anne Poinsignon
Modou Seck
Emmanuel Hermann
Anne-Marie Schacht
Ngor Faye
Cheikh Sokhna
Franck Remoue
Gilles Riveau

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decade, a sharp decline of malaria burden has been observed in several countries. Consequently, the conventional entomological methods have become insufficiently sensitive and probably under-estimate micro-geographical heterogeneity of exposure and subsequent risk of malaria transmission. In this study, we investigated whether the human antibody (Ab) response to Anopheles salivary gSG6-P1 peptide, known as a biomarker of Anopheles exposure, could be a sensitive and reliable tool for discriminating human exposure to Anopheles bites in area of low and seasonal malaria transmission.

methodsA multi-disciplinary survey was performed in Northern Senegal where An. gambiae s.l. is the main malaria vector. Human IgG Ab response to gSG6-P1 salivary peptide was compared according to the season and villages in children from five villages in the middle Senegal River valley, known as a low malaria transmission area.

resultsIgG levels to gSG6-P1 varied considerably according to the villages, discriminating the heterogeneity of Anopheles exposure between villages. Significant increase of IgG levels to gSG6-P1 was observed during the peak of exposure to Anopheles bites, and decreased immediately after the end of the exposure season. In addition, differences in the season-dependent specific IgG levels between villages were observed after the implementation of Long-Lasting Insecticidal Nets by The National Malaria Control Program in this area.

conclusionThe gSG6-P1 salivary peptide seems to be a reliable tool to discriminate the micro-geographical heterogeneity of human exposure to Anopheles bites in areas of very low and seasonal malaria transmission. A biomarker such as this could also be used to monitor and evaluate the possible heterogeneous effectiveness of operational vector control programs in low-exposure areas.

Indexed as

Insect Bites and StingsAdultAnimalsAnophelesBiomarkersChildChild, PreschoolFemaleHuman ExperimentationHumansImmunoglobulin GInfantInsect ProteinsLongitudinal StudiesMalariaMaleBiomarkersImmunoglobulin GInsect ProteinsSalivary Proteins and Peptides

Identifiers

PMID23497646
PMCPMC3631127

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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.