Evidence map›Paper›PMID 31431630›Full record

ArticleScientific reports2019

Screening of Microbial Volatile Organic Compounds for Detection of Disease in Cattle: Development of Lab-scale Method.

Devin L Maurer, Christine K Ellis, Tyler C Thacker, Somchai Rice, Jacek A Koziel, Pauline Nol, Kurt C VerCauteren

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Detection ofMicrobiology spectrum · 2023
    Article
  6. Article
  7. Article
  8. Detection ofFrontiers in veterinary science · 2021
    Article
  9. 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.

Devin L MaurerIowa State University, Dept. of Agricultural & Biosystems Engineering, Ames, IA, 50011, USA.
Christine K EllisUSDA-APHIS-WS-National Wildlife Research Center, Fort Collins, CO, 80521, USA.
Tyler C ThackerUSDA-ARS, National Animal Disease Center, Mycobacterial Diseases, Ames, IA, 50010, USA.ORCID http://orcid.org/0000-0001-6779-7649
Somchai RiceIowa State University, Dept. of Agricultural & Biosystems Engineering, Ames, IA, 50011, USA.ORCID http://orcid.org/0000-0001-8868-3202
Jacek A KozielIowa State University, Dept. of Agricultural & Biosystems Engineering, Ames, IA, 50011, USA. koziel@iastate.edu.ORCID http://orcid.org/0000-0002-2387-0354
Pauline NolUSDA-APHIS-WS-Wildlife Livestock Disease Investigations Team, Fort Collins, CO, 80521, USA.
Kurt C VerCauterenUSDA-APHIS-WS-National Wildlife Research Center, Fort Collins, CO, 80521, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary hurdle for diagnosis of some diseases is the long incubation required to culture and confirm the presence of bacteria. The concept of using microbial VOCs as "signature markers" could provide a faster and noninvasive diagnosis. Finding biomarkers is challenging due to the specificity required in complex matrices. The objectives of this study were to (1) build/test a lab-scale platform for screening of microbial VOCs and (2) apply it to Mycobacterium avium paratuberculosis; the vaccine strain of M. bovis Bacillus Calmette-Guérin; and M. kansasii to demonstrate detection times greater those typically required for culture. SPME-GC-MS was used for sampling, sample preparation, and analyses. For objective (1), a testing platform was built for headspace sampling of bacterial cultures grown in standard culture flasks via a biosecure closed-loop circulating airflow system. For (2), results show that the suites of VOCs produced by Mycobacteria ssp. change over time and that individual strains produce different VOCs. The developed method was successful in discriminating between strains using a pooled multi-group analysis, and in timepoint-specific multi- and pair-wise comparisons. The developed testing platform can be useful for minimally invasive and biosecure collection of biomarkers associated with human, wildlife and livestock diseases for development of diagnostic point-of-care and field surveillance.

Indexed as

AnimalsBiomarkersCattleCattle DiseasesGas Chromatography-Mass SpectrometryHumansMycobacterium avium subsp. paratuberculosisParatuberculosisVolatile Organic CompoundsBiomarkersVolatile Organic Compounds

Identifiers

PMID31431630
PMCPMC6702204

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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.