Evidence map›Paper›PMID 25775236›Full record

ArticlePLoS neglected tropical diseases2015

Xenosurveillance: a novel mosquito-based approach for examining the human-pathogen landscape.

Nathan D Grubaugh, Supriya Sharma, Benjamin J Krajacich, Lawrence S Fakoli, Fatorma K Bolay, Joe W Diclaro, W Evan Johnson, Gregory D Ebel, Brian D Foy, Doug E Brackney

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Molecular xenosurveillance ofMicrobiology spectrum · 2025
    Article
  8. Evidence of dengue virus transmission and a diversebioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. A virus associated with the zoonotic pathogenbioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Evaluation of Vector-Enabled Xenosurveillance in Rural Guatemala.The American journal of tropical medicine and hygiene · 2023
    Article
  20. Article

4 more citing papers are in PubMed but not listed here.

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.

Nathan D GrubaughDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Supriya SharmaDivision of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States of America.
Benjamin J KrajacichDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Lawrence S FakoliLiberian Institute for Biomedical Research, Charlesville, Liberia.
Fatorma K BolayLiberian Institute for Biomedical Research, Charlesville, Liberia.
Joe W DiclaroUnited States Naval Medical Research Unit No. 3, Cairo, Egypt.
W Evan JohnsonDivision of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, United States of America.
Gregory D EbelDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Brian D FoyDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.
Doug E BrackneyDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, United States of America.

Funding

Quasispecies dynamics in arbovirus persistence emergence and fitnessR01AI067380 · NIAID · UNIVERSITY OF NEW MEXICO · PI Gregory David Ebel · 2007 to 2026
$7.7M
Ivermectin for Malaria ControlR01AI094349 · NIAID · COLORADO STATE UNIVERSITY · PI FOY, BRIAN DAVID · 2012 to 2015
$2.0M
NIAID NIH HHS R01 AI067380NIAID NIH HHS R01 AI094349
6 · The paper itself

Abstract

backgroundGlobally, regions at the highest risk for emerging infectious diseases are often the ones with the fewest resources. As a result, implementing sustainable infectious disease surveillance systems in these regions is challenging. The cost of these programs and difficulties associated with collecting, storing and transporting relevant samples have hindered them in the regions where they are most needed. Therefore, we tested the sensitivity and feasibility of a novel surveillance technique called xenosurveillance. This approach utilizes the host feeding preferences and behaviors of Anopheles gambiae, which are highly anthropophilic and rest indoors after feeding, to sample viruses in human beings. We hypothesized that mosquito bloodmeals could be used to detect vertebrate viral pathogens within realistic field collection timeframes and clinically relevant concentrations. METHODOLOGY/PRINCIPAL

findingsTo validate this approach, we examined variables influencing virus detection such as the duration between mosquito blood feeding and mosquito processing, the pathogen nucleic acid stability in the mosquito gut and the pathogen load present in the host's blood at the time of bloodmeal ingestion using our laboratory model. Our findings revealed that viral nucleic acids, at clinically relevant concentrations, could be detected from engorged mosquitoes for up to 24 hours post feeding by qRT-PCR. Subsequently, we tested this approach in the field by examining blood from engorged mosquitoes from two field sites in Liberia. Using next-generation sequencing and PCR we were able to detect the genetic signatures of multiple viral pathogens including Epstein-Barr virus and canine distemper virus. CONCLUSIONS/SIGNIFICANCE: Together, these data demonstrate the feasibility of xenosurveillance and in doing so validated a simple and non-invasive surveillance tool that could be used to complement current biosurveillance efforts.

Indexed as

AnimalsAnophelesCricetinaeHigh-Throughput Nucleotide SequencingHumansMesocricetusPolymerase Chain ReactionRNA, ViralWest Nile virusRNA, Viral

Identifiers

PMID25775236
PMCPMC4361501

What OpenQuestion holds

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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.