Use of an Anopheles Salivary Biomarker to Assess Malaria Transmission Risk Along the Thailand-Myanmar Border. (7th December 2016)

• Record Type: Journal Article
• Authors: Ya-umphan, Phubeth; Cerqueira, Dominique; Parker, Daniel M.; Cottrell, Gilles; Poinsignon, Anne; Remoue, Franck; Brengues, Cecile; Chareonviriyaphap, Theeraphap; Nosten, Francois; Corbel, Vincent
• Is Part Of: Journal of infectious diseases. Volume 215:Number 3(2017:Feb. 01)
• Page Start: 396
• Page End: 404
• Publication Date: 2016-12-07
• Subjects: Thailand-Myanmar border -- malaria vectors -- transmission -- human antibody response -- Salivary Biomarker -- gSG6-P1.; Communicable diseases -- Periodicals; Diseases -- Causes and theories of causation -- Periodicals; Medicine -- Periodicals; Communicable Diseases -- Periodicals; Electronic journals; 616.9
• DOI: 10.1093/infdis/jiw543
• Languages: English
• ISSNs: 0022-1899

Abstract

Abstract: Background: The modalities of malaria transmission along the Thailand-Myanmar border are poorly understood. Here we address the relevance of using a specific Anopheles salivary biomarker to measure the risk among humans of exposure to Anopheles bites. Methods: Serologic surveys were conducted from May 2013 to December 2014 in 4 sentinel villages. More than 9400 blood specimens were collected in filter papers from all inhabitants at baseline and then every 3 months thereafter, for up to 18 months, for analysis by enzyme-linked immunosorbent assay. The relationship between the intensity of the human antibody response and entomological indicators of transmission (human biting rates and entomological inoculation rates [EIRs]) was studied using a multivariate 3-level mixed model analysis. Heat maps for human immunoglobulin G (IgG) responses for each village and survey time point were created using QGIS 2.4. Results: The levels of IgG response among participants varied significantly according to village, season, and age ( P <.001) and were positively associated with the abundance of total Anopheles species and primary malaria vectors and the EIR ( P <.001). Spatial clusters of high-IgG responders were identified across space and time within study villages. Conclusions: The gSG6-P1 biomarker has great potential to address the risk of transmission along the Thailand-Myanmar border and represents a promising tool to guide malaria interventions.