Evidence map›Paper›PMID 31866853›Full record

ArticleFrontiers in aging neuroscience2019

Integrative Metabolomic and Metallomic Analysis in a Case-Control Cohort With Parkinson's Disease.

Marianna Lucio, Desiree Willkommen, Michael Schroeter, Ali Sigaroudi, Philippe Schmitt-Kopplin, Bernhard Michalke

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2019. 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
1.1field-weighted citation impact, top 22% 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, 22 citations in OpenAlex.

  1. Article
  2. ACS pharmacology & translational science · 2025
    Review
  3. Article
  4. Article
  5. Parkinson's disease therapy: what lies ahead?Journal of neural transmission (Vienna, Austria : 1996) · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
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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

6 authors at 2 institutions in 2 countries.

Marianna LucioAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Desiree WillkommenAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Michael SchroeterKlinik und Poliklinik für Neurologie, Uniklinik Köln, Cologne, Germany.
Ali SigaroudiKlinik für Klinische Pharmakologie und Toxikologie, Universitätsspital Zürich, Zurich, Switzerland.
Philippe Schmitt-KopplinAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Bernhard MichalkeAnalytische BioGeoChemie, Helmholtz Zentrum München, Neuherberg, Germany.
Helmholtz Zentrum München · DEUniversity Hospital Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a neurodegenerative disease with a complex etiology. Several factors are known to contribute to the disease onset and its progression. However, the complete underlying mechanisms are still escaping our understanding. To evaluate possible correlations between metabolites and metallomic data, in this research, we combined a control study measured using two different platforms. For the different data sources, we applied a Block Sparse Partial Least Square Discriminant Analysis (Block-sPLS-DA) model that allows for proving their relation, which in turn uncovers alternative influencing factors that remain hidden otherwise. We found two groups of variables that trace a strong relationship between metallomic and metabolomic parameters for disease development. The results confirmed that the redox active metals iron (Fe) and copper (Cu) together with fatty acids are the major influencing factors for the PD. Additionally, the metabolic waste product p-cresol sulfate and the trace element nickel (Ni) showed up as potentially important factors in PD. In summary, the data integration of different types of measurements emphasized the results of both stand-alone measurements providing a new comprehensive set of information and interactions, on PD disease, between different variables sources.

Indexed as

Block-sPLS-DAdata integrationmetabolomicsmetallomicsParkinson’s disease

Identifiers

PMID31866853
PMCPMC6908950
OpenAlexW2991506574

What OpenQuestion holds

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LicenceCC BY
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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.