Evidence map›Paper›PMID 29184111›Full record

ArticleScientific reports2017

Non-invasive and invasive diagnoses of aspergillosis in a rat model by mass spectrometry.

Dominika Luptáková, Tomáš Pluháček, Miloš Petřík, Jiří Novák, Andrea Palyzová, Lucie Sokolová, Anton Škríba, Blanka Šedivá, Karel Lemr, Vladimír Havlíček

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05860387 (Early Diagnosis of Invasive Lung Aspergillosis), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 19% 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.

NCT05860387 recruitingnot on this mapstarted 2023, after this paper: background citation

Early Diagnosis of Invasive Lung Aspergillosis

TypeobservationalSponsorUniversity Hospital OstravaRan2023 to 2026Enrolled150ConditionsRespiratory Infection, Invasive Pulmonary AspergillosisArmsNext generation improvement of early invasive aspergillosis
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Current and Future Pathways inAntibiotics (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Article
  9. Noninvasive Combined Diagnosis and Monitoring ofJournal of fungi (Basel, Switzerland) · 2021
    Article
  10. Article
  11. Review
  12. Bringing SEM and MSI Closer Than Ever Before: VisualizingJournal of fungi (Basel, Switzerland) · 2020
    Article
  13. Article
  14. Review
  15. Antifungal Drugs.Metabolites · 2020
    Review
  16. Article
  17. 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 at 2 institutions in 2 countries.

Dominika LuptákováInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Tomáš PluháčekInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Miloš PetříkInstitute of Molecular and Translational Medicine, Palacky University, Olomouc, 779 00, Czech Republic.
Jiří NovákInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Andrea PalyzováInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Lucie SokolováInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Anton ŠkríbaInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Blanka ŠediváInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Karel LemrInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic.
Vladimír HavlíčekInstitute of Microbiology of the Czech Academy of Sciences, Prague 4, 142 20, Czech Republic. vlhavlic@biomed.cas.cz.ORCID 0000-0002-8614-7059
Czech Academy of Sciences · CZInstitute of Molecular and Translational Medicine · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive pulmonary aspergillosis results in 450,000 deaths per year and complicates cancer chemotherapy, transplantations and the treatment of other immunosuppressed patients. Using a rat model of experimental aspergillosis, the fungal siderophores ferricrocin and triacetylfusarinine C were identified as markers of aspergillosis and quantified in urine, serum and lung tissues. Biomarkers were analyzed by matrix-assisted laser desorption ionization (MALDI) and electrospray ionization mass spectrometry using a 12T SolariX Fourier transform ion cyclotron resonance (FTICR) mass spectrometer. The limits of detection of the ferri-forms of triacetylfusarinine C and ferricrocin in the rat serum were 0.28 and 0.36 ng/mL, respectively. In the rat urine the respective limits of detection achieved 0.02 and 0.03 ng/mL. In the sera of infected animals, triacetylfusarinine C was not detected but ferricrocin concentration fluctuated in the 3-32 ng/mL range. Notably, the mean concentrations of triacetylfusarinine C and ferricrocin in the rat urine were 0.37 and 0.63 μg/mL, respectively. The MALDI FTICR mass spectrometry imaging illustrated the actual microbial ferricrocin distribution in the lung tissues and resolved the false-positive results obtained by the light microscopy and histological staining. Ferricrocin and triacetylfusarinine C detection in urine represents an innovative non-invasive indication of Aspergillus infection in a host.

Indexed as

Mass SpectrometryAnimalsAspergillosisAspergillusBiomarkersChromatography, LiquidColony Count, MicrobialDisease Models, AnimalHistocytochemistryHumansInvasive Pulmonary AspergillosisLungMetabolomicsRatsSiderophoresSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkersSiderophores

Identifiers

PMID29184111
PMCPMC5705710
OpenAlexW2769670489

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.