Evidence map›Paper›PMID 26808974›Full record

ArticlePloS one2016

Alterations in Lipid and Inositol Metabolisms in Two Dopaminergic Disorders.

Eva C Schulte, Elisabeth Altmaier, Hannah S Berger, Kieu Trinh Do, Gabi Kastenmüller, Simone Wahl, Jerzy Adamski, Annette Peters, Jan Krumsiek, Karsten Suhre and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 42 citations in OpenAlex.

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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

14 authors at 5 institutions in 3 countries.

Eva C SchulteNeurologische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, 81675, Munich, Germany.
Elisabeth AltmaierInstitute of Genetic Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Hannah S BergerNeurologische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, 81675, Munich, Germany.
Kieu Trinh DoInstitute of Computational Biology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Gabi KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Simone WahlResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Jerzy AdamskiInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Annette PetersInstitute of Epidemiology II, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Jan KrumsiekInstitute of Computational Biology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar Foundation-Education City, PO Box 24144, Doha, Qatar.
Bernhard HaslingerNeurologische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, 81675, Munich, Germany.
Andres Ceballos-BaumannNeurologische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, 81675, Munich, Germany.
Christian GiegerInstitute of Genetic Epidemiology, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Juliane WinkelmannNeurologische Klinik und Poliklinik, Klinikum rechts der Isar, Technische Universität München, 81675, Munich, Germany.
Helmholtz Zentrum München · DEKlinik und Poliklinik für Neurologie · DEKlinikum rechts der Isar · DETechnical University of Munich · DEWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum metabolite profiling can be used to identify pathways involved in the pathogenesis of and potential biomarkers for a given disease. Both restless legs syndrome (RLS) and Parkinson`s disease (PD) represent movement disorders for which currently no blood-based biomarkers are available and whose pathogenesis has not been uncovered conclusively. We performed unbiased serum metabolite profiling in search of signature metabolic changes for both diseases.

methods456 metabolites were quantified in serum samples of 1272 general population controls belonging to the KORA cohort, 82 PD cases and 95 RLS cases by liquid-phase chromatography and gas chromatography separation coupled with tandem mass spectrometry. Genetically determined metabotypes were calculated using genome-wide genotyping data for the 1272 general population controls.

resultsAfter stringent quality control, we identified decreased levels of long-chain (polyunsaturated) fatty acids of individuals with PD compared to both RLS (PD vs. RLS: p = 0.0001 to 5.80x10-9) and general population controls (PD vs. KORA: p = 6.09x10-5 to 3.45x10-32). In RLS, inositol metabolites were increased specifically (RLS vs. KORA: p = 1.35x10-6 to 3.96x10-7). The impact of dopaminergic drugs was reflected in changes in the phenylalanine/tyrosine/dopamine metabolism observed in both individuals with RLS and PD.

conclusionsA first discovery approach using serum metabolite profiling in two dopamine-related movement disorders compared to a large general population sample identified significant alterations in the polyunsaturated fatty acid metabolism in PD and implicated the inositol metabolism in RLS. These results provide a starting point for further studies investigating new perspectives on factors involved in the pathogenesis of the two diseases as well as possible points of therapeutic intervention.

Indexed as

AgedChromatography, GasChromatography, LiquidDopamineFemaleHumansMaleMiddle AgedParkinson DiseaseRestless Legs SyndromeDopamine

Identifiers

PMID26808974
PMCPMC4726488
OpenAlexW2268732861

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.