Evidence map›Paper›PMID 39327581›Full record

ArticleJournal of neuroinflammation2024

Comprehensive analysis of the cerebrospinal fluid and serum metabolome in neurological diseases.

Carolin Otto, Rea Kalantzis, Dorothee Kübler-Weller, Andrea A Kühn, Tina Böld, Armin Regler, Selina Strathmeyer, Johannes Wittmann, Klemens Ruprecht, Steffen Heelemann

Abstract read
In one paragraph

Article in Journal of neuroinflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Emerging Roles of Bile Acids in Neuroinflammation.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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.

Carolin OttoDepartment of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. carolin.otto@charite.de.
Rea KalantzisBerlin Institute of Health at Charité, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Dorothee Kübler-WellerDepartment of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Andrea A KühnDepartment of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Tina BöldLifespin GmbH, Am BioPark 13, 93050, Regensburg, Germany.
Armin ReglerLifespin GmbH, Am BioPark 13, 93050, Regensburg, Germany.
Selina StrathmeyerLifespin GmbH, Am BioPark 13, 93050, Regensburg, Germany.
Johannes WittmannLifespin GmbH, Am BioPark 13, 93050, Regensburg, Germany.
Klemens Ruprecht *Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Steffen Heelemann *Lifespin GmbH, Am BioPark 13, 93050, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive characterization of the metabolome in cerebrospinal fluid (CSF) and serum by Nuclear Magnetic Resonance (NMR) spectroscopy may identify biomarkers and contribute to the understanding of the pathophysiology of neurological diseases.

methodsMetabolites were determined by NMR spectroscopy in stored CSF/serum samples of 20 patients with Parkinson's disease, 25 patients with other neuro-degenerative diseases, 22 patients with cerebral ischemia, 48 patients with multiple sclerosis, and 58 control patients with normal CSF findings. The data set was analysed using descriptive and multivariate statistics, as well as machine learning models.

resultsCSF glucose and lactic acid measured by NMR spectroscopy and routine clinical chemistry showed a strong correlation between both methods (glucose, R

conclusionsThese findings outline the landscape of the CSF and serum metabolome in different categories of neurological diseases and identify age and blood-brain-barrier function as relevant co-factors for CSF levels of certain metabolites. Metabolome profiles as determined by NMR spectroscopy may potentially aid in differentiating groups of patients with different neurological diseases, including clinically meaningful differentiations, such as Parkinson's disease from other neurodegenerative diseases.

Indexed as

Magnetic Resonance SpectroscopyMetabolomeNervous System DiseasesAdultAgedBiomarkersFemaleHumansMaleMiddle AgedBiomarkersBiomarkerCerebral IschemiaCerebrospinal FluidMetabolomeMetabolomicsMultiple SclerosisNeurodegenerative diseasesNeurologyNMR spectroscopyParkinson’s DiseaseSerum

Identifiers

PMID39327581
PMCPMC11430517

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.