Evidence map›Paper›PMID 24067624›Full record

ArticleScientific reports2013

Metabolic profiling framework for discovery of candidate diagnostic markers of malaria.

Lucienne Tritten, Jennifer Keiser, Markus Godejohann, Jürg Utzinger, Mireille Vargas, Olaf Beckonert, Elaine Holmes, Jasmina Saric

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The World Allergy Organization journal · 2019
    Article
  5. Metabolome-wide association study of peripheral parasitemia in Plasmodium vivax malaria.International journal of medical microbiology : IJMM · 2017
    Article
  6. Review
  7. Article
  8. Article
  9. Development of a metabolic biosignature for detection of early Lyme disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Article
  10. Article
  11. 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

8 authors at 4 institutions in 3 countries.

Lucienne Tritten1] Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, CH-4002 Basel, Switzerland [2] University of Basel, CH-4003 Basel, Switzerland.
Jennifer Keiser
Markus Godejohann
Jürg Utzinger
Mireille Vargas
Olaf Beckonert
Elaine Holmes
Jasmina Saric
Imperial College London · GBUniversity of Basel · CHBruker (Germany) · DESwiss Tropical and Public Health Institute · CH

Funding

Wellcome TrustWellcome Trust 089002/B/09/Z
6 · The paper itself

Abstract

Despite immense efforts to combat malaria in tropical and sub-tropical regions, the potency of this vector-borne disease and its status as a major driver of morbidity and mortality remain undisputed. We develop an analytical pipeline for characterizing Plasmodium infection in a mouse model and identify candidate urinary biomarkers that may present alternatives to immune-based diagnostic tools. We employ (1)H nuclear magnetic resonance (NMR) profiling followed by multivariate modeling to discover diagnostic spectral regions. Identification of chemical structures is then made on the basis of statistical spectroscopy, multinuclear NMR, and entrapment of candidates by iterative liquid chromatography (LC) and mass spectrometry (MS). We identify two urinary metabolites (i) 4-amino-1-[3-hydroxy-5-(hydroxymethyl)-2,3-dihydrofuran-2-yl]pyrimidin-2(1H)-one, (ii) 2-amino-4-({[5-(4-amino-2-oxopyrimidin-1(2H)-yl)-4-hydroxy-4,5-dihydrofuran-2-yl]methyl}sulfanyl)butanoic acid that were detected only in Plasmodium berghei-infected mice. These metabolites have not been described in the mammalian or parasite metabolism to date. This analytical pipeline could be employed in prospecting for infection biomarkers in human populations.

Indexed as

MetabolomeMetabolomicsAnimalsBiomarkersBody WeightCoinfectionDisease Models, AnimalFemaleHeligmosomatoideaHematocritHumansMagnetic Resonance SpectroscopyMalariaMicePlasmodium bergheiStrongylida InfectionsBiomarkers

Identifiers

PMID24067624
PMCPMC6505674
OpenAlexW2163896339

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.