Evidence map›Paper›PMID 29915533›Full record

ArticleFrontiers in human neuroscience2018

Metabolomic Profiles for Primary Progressive Multiple Sclerosis Stratification and Disease Course Monitoring.

Daniel Stoessel, Jan-Patrick Stellmann, Anne Willing, Birte Behrens, Sina C Rosenkranz, Sibylle C Hodecker, Klarissa H Stürner, Stefanie Reinhardt, Sabine Fleischer, Christian Deuschle and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 64 citations in OpenAlex.

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  18. Seasonal Changes in Serum Metabolites in Multiple Sclerosis Relapse.International journal of molecular sciences · 2023
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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

17 authors at 8 institutions in 1 country.

Daniel StoesselMetabolomic Discoveries GmbH, Potsdam, Germany.
Jan-Patrick StellmannZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Anne WillingZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Birte BehrensNeurodegenerative Erkrankungen, Hertie-Institut für klinische Hirnforschung, Eberhardt-Karls-Universität Tübingen, Tübingen, Germany.
Sina C RosenkranzZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Sibylle C HodeckerZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Klarissa H StürnerZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Stefanie ReinhardtZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Sabine FleischerZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Christian DeuschleNeurodegenerative Erkrankungen, Hertie-Institut für klinische Hirnforschung, Eberhardt-Karls-Universität Tübingen, Tübingen, Germany.
Walter MaetzlerNeurodegenerative Erkrankungen, Hertie-Institut für klinische Hirnforschung, Eberhardt-Karls-Universität Tübingen, Tübingen, Germany.
Daniela BergNeurodegenerative Erkrankungen, Hertie-Institut für klinische Hirnforschung, Eberhardt-Karls-Universität Tübingen, Tübingen, Germany.
Christoph HeesenZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Dirk WaltherInstitut für Biochemie und Biologie, Universität Potsdam, Potsdam, Germany.
Nicolas SchauerMetabolomic Discoveries GmbH, Potsdam, Germany.
Manuel A FrieseZentrum für Molekulare Neurobiologie Hamburg, Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Ole PlessFraunhofer IME ScreeningPort, Hamburg, Germany.
University Medical Center Hamburg-Eppendorf · DEHertie Institute for Clinical Brain Research · DEKlinik und Poliklinik für Neurologie · DEFraunhofer Institute for Molecular Biology and Applied Ecology · DEKiel University · DEMax Planck Institute of Molecular Plant Physiology · DEUniversität Hamburg · DEUniversity of Potsdam · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary progressive multiple sclerosis (PPMS) shows a highly variable disease progression with poor prognosis and a characteristic accumulation of disabilities in patients. These hallmarks of PPMS make it difficult to diagnose and currently impossible to efficiently treat. This study aimed to identify plasma metabolite profiles that allow diagnosis of PPMS and its differentiation from the relapsing-remitting subtype (RRMS), primary neurodegenerative disease (Parkinson's disease, PD), and healthy controls (HCs) and that significantly change during the disease course and could serve as surrogate markers of multiple sclerosis (MS)-associated neurodegeneration over time. We applied untargeted high-resolution metabolomics to plasma samples to identify PPMS-specific signatures, validated our findings in independent sex- and age-matched PPMS and HC cohorts and built discriminatory models by partial least square discriminant analysis (PLS-DA). This signature was compared to sex- and age-matched RRMS patients, to patients with PD and HC. Finally, we investigated these metabolites in a longitudinal cohort of PPMS patients over a 24-month period. PLS-DA yielded predictive models for classification along with a set of 20 PPMS-specific informative metabolite markers. These metabolites suggest disease-specific alterations in glycerophospholipid and linoleic acid pathways. Notably, the glycerophospholipid LysoPC(20:0) significantly decreased during the observation period. These findings show potential for diagnosis and disease course monitoring, and might serve as biomarkers to assess treatment efficacy in future clinical trials for neuroprotective MS therapies.

Indexed as

biomarkerLysoPC(20:0)MS neurodegenerationPPMSuntargeted metabolomics

Identifiers

PMID29915533
PMCPMC5994544
OpenAlexW2803490859

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.