Evidence map›Paper›PMID 31618201›Full record

ArticlePLoS neglected tropical diseases2019

Analysis in a murine model points to IgG responses against the 34k2 salivary proteins from Aedes albopictus and Aedes aegypti as novel promising candidate markers of host exposure to Aedes mosquitoes.

Sara Buezo Montero, Paolo Gabrieli, Francesco Severini, Leonardo Picci, Marco Di Luca, Federico Forneris, Luca Facchinelli, Marta Ponzi, Fabrizio Lombardo, Bruno Arcà

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Plastic responses ofBiology letters · 2025
    Article
  3. Review
  4. IgE response to Aed al 13 and Aed al 14 recombinant allergens fromThe World Allergy Organization journal · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Bioengineered · 2022
    Article
  9. Article
  10. Biomolecules · 2020
    Article
  11. IgG Antibody Responses to theFrontiers in cellular and infection microbiology · 2020
    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

10 authors.

Sara Buezo MonteroDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Paolo GabrieliDepartment of Biology and Biotechnology "L. Spallanzani", University of Pavia, Italy.ORCID 0000-0002-4996-2468
Francesco SeveriniDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Leonardo PicciDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Marco Di LucaDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Federico FornerisDepartment of Biology and Biotechnology "L. Spallanzani", University of Pavia, Italy.ORCID 0000-0002-7818-1804
Luca FacchinelliDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Marta PonziDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Fabrizio LombardoDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.
Bruno ArcàDepartment of Public Health and Infectious Diseases, Sapienza University, Rome, Italy.ORCID 0000-0002-4029-0984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAedes mosquitoes are vectors of arboviral diseases of great relevance for public health. The recent outbreaks of dengue, Zika, chikungunya and the rapid worldwide spreading of Aedes albopictus emphasize the need for improvement of vector surveillance and control. Host antibody response to mosquito salivary antigens is emerging as a relevant additional tool to directly assess vector-host contact, monitor efficacy of control interventions and evaluate risk of arboviral transmission. METHODOLOGY/PRINCIPAL

findingsGroups of four BALB/c mice were immunized by exposure to bites of either Aedes albopictus or Aedes aegypti. The 34k2 salivary proteins from Ae. albopictus (al34k2) and Ae. aegypti (ae34k2) were expressed in recombinant form and Ae. albopictus salivary peptides were designed through B-cell epitopes prediction software. IgG responses to salivary gland extracts, peptides, al34k2 and ae34k2 were measured in exposed mice. Both al34k2 and ae34k2, with some individual and antigen-specific variation, elicited a clearly detectable antibody response in immunized mice. Remarkably, the two orthologous proteins showed very low level of immune cross-reactivity, suggesting they may eventually be developed as species-specific markers of host exposure. The al34k2 immunogenicity and the limited immune cross-reactivity to ae34k2 were confirmed in a single human donor hyperimmune to Ae. albopictus saliva. CONCLUSIONS/SIGNIFICANCE: Our study shows that exposure to bites of Ae. albopictus or Ae. aegypti evokes in mice species-specific IgG responses to al34k2 or ae34k2, respectively. Deeper understanding of duration of antibody response and validation in natural conditions of human exposure to Aedes mosquitoes are certainly needed. However, our findings point to the al34k2 salivary protein as a promising potential candidate for the development of immunoassays to evaluate human exposure to Ae. albopictus. This would be a step forward in the establishment of a serological toolbox for the simultaneous assessment of human exposure to Aedes vectors and the pathogens they transmit.

Indexed as

AedesAnimalsAntibody FormationArbovirusesBiomarkersCross ReactionsDisease Models, AnimalFemaleHumansImmunizationImmunoglobulin GInsect VectorsMiceMice, Inbred BALB CSalivaSalivary GlandsBiomarkersImmunoglobulin GSalivary Proteins and Peptides

Identifiers

PMID31618201
PMCPMC6816578

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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.