Evidence map›Paper›PMID 27096156›Full record

ArticlePLoS neglected tropical diseases2016

A Novel Xenomonitoring Technique Using Mosquito Excreta/Feces for the Detection of Filarial Parasites and Malaria.

Nils Pilotte, Weam I Zaky, Brian P Abrams, Dave D Chadee, Steven A Williams

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

27 citing papers in PubMed, 40 citations in OpenAlex.

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  9. The use of molecular xenomonitoring for surveillance of mosquito-borne diseases.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
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  18. A novel quantitative real-time PCR diagnostic assay for seal heartworm (International journal for parasitology. Parasites and wildlife · 2018
    Article
  19. Article
  20. Review
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

5 authors at 3 institutions in 2 countries.

Nils PilotteDepartment of Biological Sciences, Smith College, Northampton, Massachusetts, United States of America.
Weam I ZakyDepartment of Biological Sciences, Smith College, Northampton, Massachusetts, United States of America.
Brian P AbramsDepartment of Science, Groton School, Groton, Massachusetts, United States of America.
Dave D ChadeeDepartment of Life Sciences, University of the West Indies, St Augustine, Trinidad and Tobago, West Indies.
Steven A WilliamsDepartment of Biological Sciences, Smith College, Northampton, Massachusetts, United States of America.
University of Massachusetts Amherst · USSmith College · USUniversity of the West Indies · TT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the continued successes of the world's lymphatic filariasis (LF) elimination programs and the growing successes of many malaria elimination efforts, the necessity of low cost tools and methodologies applicable to long-term disease surveillance is greater than ever before. As many countries reach the end of their LF mass drug administration programs and a growing number of countries realize unprecedented successes in their malaria intervention efforts, the need for practical molecular xenomonitoring (MX), capable of providing surveillance for disease recrudescence in settings of decreased parasite prevalence is increasingly clear. Current protocols, however, require testing of mosquitoes in pools of 25 or fewer, making high-throughput examination a challenge. The new method we present here screens the excreta/feces from hundreds of mosquitoes per pool and provides proof-of-concept for a practical alternative to traditional methodologies resulting in significant cost and labor savings. METHODOLOGY/PRINCIPAL

findingsExcreta/feces of laboratory reared Aedes aegypti or Anopheles stephensi mosquitoes provided with a Brugia malayi microfilaria-positive or Plasmodium vivax-positive blood meal respectively were tested for the presence of parasite DNA using real-time PCR. A titration of samples containing various volumes of B. malayi-negative mosquito feces mixed with positive excreta/feces was also tested to determine sensitivity of detection. Real-time PCR amplification of B. malayi and P. vivax DNA from the excreta/feces of infected mosquitoes was demonstrated, and B. malayi DNA in excreta/feces from one to two mf-positive blood meal-receiving mosquitoes was detected when pooled with volumes of feces from as many as 500 uninfected mosquitoes. CONCLUSIONS/SIGNIFICANCE: While the operationalizing of excreta/feces testing may require the development of new strategies for sample collection, the high-throughput nature of this new methodology has the potential to greatly reduce MX costs. This will prove particularly useful in post-transmission-interruption settings, where this inexpensive approach to long-term surveillance will help to stretch the budgets of LF and malaria elimination programs. Furthermore, as this methodology is adaptable to the detection of both single celled (P. vivax) and multicellular eukaryotic pathogens (B. malayi), exploration of its use for the detection of various other mosquito-borne diseases including viruses should be considered. Additionally, integration strategies utilizing excreta/feces testing for the simultaneous surveillance of multiple diseases should be explored.

Indexed as

AnimalsBrugia malayiCosts and Cost AnalysisCulicidaeDisease EradicationDNA, HelminthDNA, ProtozoanEntomologyFecesHigh-Throughput Screening AssaysHumansParasitologyPlasmodium vivaxReal-Time Polymerase Chain ReactionSensitivity and SpecificityDNA, HelminthDNA, Protozoan

Identifiers

PMID27096156
PMCPMC4838226
OpenAlexW2338798656

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.