Evidence map›Paper›PMID 30532185›Full record

ArticlePloS one2018

Metabolomic investigations in cerebrospinal fluid of Parkinson's disease.

Desiree Willkommen, Marianna Lucio, Franco Moritz, Sara Forcisi, Basem Kanawati, Kirill S Smirnov, Michael Schroeter, Ali Sigaroudi, Philippe Schmitt-Kopplin, Bernhard Michalke

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Emerging Parkinson's Disease Oxylipin-Ome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Parkinson disease is a fatty acidopathy.Nature reviews. Neurology · 2025
    Review
  8. ACS pharmacology & translational science · 2025
    Review
  9. Review
  10. Review
  11. Review
  12. Early diagnosis of Parkinson's disease: biomarker study.Frontiers in aging neuroscience · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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 3 institutions in 2 countries.

Desiree WillkommenAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.ORCID 0000-0003-4759-1912
Marianna LucioAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Franco MoritzAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Sara ForcisiAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Basem KanawatiAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Kirill S SmirnovAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Michael SchroeterKlinik und Poliklinik für Neurologie, Uniklinik Köln, Köln, Germany.
Ali SigaroudiKlinik für Klinische Pharmakologie und Toxikologie, Universitätsspital Zürich, Zürich, Switzerland.
Philippe Schmitt-KopplinAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Bernhard MichalkeAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Helmholtz Zentrum München · DEKlinik und Poliklinik für Neurologie · DEUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The underlying mechanisms of Parkinson´s disease are not completely revealed. Especially, early diagnostic biomarkers are lacking. To characterize early pathophysiological events, research is focusing on metabolomics. In this case-control study we investigated the metabolic profile of 31 Parkinson´s disease-patients in comparison to 95 neurologically healthy controls. The investigation of metabolites in CSF was performed by a 12 Tesla SolariX Fourier transform-ion cyclotron resonance-mass spectrometer (FT-ICR-MS). Multivariate statistical analysis sorted the most important biomarkers in relation to their ability to differentiate Parkinson versus control. The affected metabolites, their connection and their conversion pathways are described by means of network analysis. The metabolic profiling by FT-ICR-MS in CSF yielded in a good group separation, giving insights into the disease mechanisms. A total number of 243 metabolites showed an affected intensity in Parkinson´s disease, whereas 15 of these metabolites seem to be the main biological contributors. The network analysis showed a connection to the tricarboxylic cycle (TCA cycle) and therefore to mitochondrial dysfunction and increased oxidative stress within mitochondria. The metabolomic analysis of CSF in Parkinson´s disease showed an association to pathways which are involved in lipid/ fatty acid metabolism, energy metabolism, glutathione metabolism and mitochondrial dysfunction.

Indexed as

MetabolomeAdultAgedBiomarkersCase-Control StudiesFemaleHumansMaleMass SpectrometryMetabolomicsMiddle AgedParkinson DiseaseBiomarkers

Identifiers

PMID30532185
PMCPMC6287824
OpenAlexW2904767271

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.