Evidence map›Paper›PMID 27236650›Full record

ArticleParasitology research2016

Determination of Ancylostoma caninum ova viability using metabolic profiling.

P Gyawali, D J Beale, W Ahmed, A V Karpe, R J Soares Magalhaes, P D Morrison, E A Palombo

Abstract read
PubMed Publisher
In one paragraph

Article in Parasitology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Metabolomic profiling of the excretory-secretory products of hookworm and whipworm.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  6. Article
  7. Review of recent developments in GC-MS approaches to metabolomics-based research.Metabolomics : Official journal of the Metabolomic Society · 2018
    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

7 authors at 4 institutions in 1 country.

P GyawaliCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Brisbane, Queensland, 4102, Australia. pradip.gyawali@csiro.au.
D J BealeCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Brisbane, Queensland, 4102, Australia.
W AhmedCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Brisbane, Queensland, 4102, Australia.
A V KarpeCSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Brisbane, Queensland, 4102, Australia.
R J Soares MagalhaesSchool of Veterinary Science, The University of Queensland, Gatton, Queensland, 4343, Australia.
P D MorrisonAustralian Centre for Research on Separation Science (ACROSS), School of Applied Sciences, RMIT University, Melbourne, Victoria, 3001, Australia.
E A PalomboDepartment of Chemistry and Biotechnology, Swinburne University of Technology, Hawthorn, Victoria, 3122, Australia.
CSIRO Land and Water · AUSwinburne University of Technology · AURMIT University · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiation between viable and non-viable hookworm ova in environmental samples is necessary in order to implement strategies to mitigate re-infections in endemic regions. In this study, an untargeted metabolic profiling method was developed that utilised gas chromatography-mass spectrometry (GC-MS) in order to investigate hookworm ova viability. Ancylostoma caninum was used to investigate the metabolites within viable and non-viable ova. Univariate and multivariate statistical analyses of the data resulted in the identification of 53 significant metabolites across all hookworm ova samples. The major compounds observed in viable and non-viable hookworm ova were tetradecanoic acid, commonly known as myristic acid [fold change (FC) = 0.4], and dodecanoic acid, commonly known as lauric acid (FC = 0.388). Additionally, the viable ova had self-protecting metabolites such as prostaglandins, a typical feature absent in non-viable ova. The results of this study demonstrate that metabolic profiling using GC-MS methods can be used to determine the viability of canine hookworm ova. Further studies are needed to assess the applicability of metabolic profiling using GC-MS to detect viable hookworm ova in the mixed (viable and non-viable) populations from environmental samples and identify the metabolites specific to human hookworm species.

Indexed as

AncylostomaAncylostomiasisAnimalsDog DiseasesDogsFecesGas Chromatography-Mass SpectrometryHumansLauric AcidsMetabolomeMyristic AcidOvumProstaglandinslauric acidLauric AcidsMyristic AcidProstaglandinsHealth riskHookworm ovaMass spectrometryMetabolic profileViability

Identifiers

PMID27236650
OpenAlexW2395286332

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.