Evidence map›Paper›PMID 40167922›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Elucidation of the Human Cerebrospinal Fluid Metabolome by Ion Mobility Mass Spectrometry and NMR Spectroscopy.

Jannik Sprengel, Georgy Berezhnoy, Christoph Trautwein

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Jannik SprengelCore Facility Metabolomics & Werner Siemens Imaging Center, Medical Faculty University of Tübingen, Tübingen, Germany.
Georgy BerezhnoyCore Facility Metabolomics & Werner Siemens Imaging Center, Medical Faculty University of Tübingen, Tübingen, Germany.
Christoph TrautweinCore Facility Metabolomics & Werner Siemens Imaging Center, Medical Faculty University of Tübingen, Tübingen, Germany. Christoph.Trautwein@med.uni-tuebingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decades, the prevalence of neurodegenerative disorders such as Parkinson's disease, dementia and stroke has significantly increased. The lack of early-stage biomarkers hereby is a major reason for poor outcomes and limited treatment options. Metabolism alterations are a major driver and readout of neurological implications; however, it can be assessed only to a very minor extent by non-invasive imaging technologies. By contrast, typical diagnostic biofluids like serum or urine reflect metabolic changes on the systemic scale and are not specific to the brain. That's why the analysis of cerebrospinal fluid (CSF) using metabolomic techniques offers a great perspective to better stratify patients with neurological implications. However, as metabolites can readily degrade and CSF collection in a clinical environment is challenging, several confounders have to be considered. Furthermore, no single technique can measure the full CSF metabolome. Hence in this work we used directly collected and quenched CSF for a multi-modal metabolomics profiling approach to define the ex vivo baseline of the human CSF metabolome by robust Nuclear Magnetic Resonance (NMR) spectroscopy and latest state of the art liquid chromatography (LC) ion mobility spectrometry mass spectrometry (IMS-MS).

Indexed as

Ion Mobility SpectrometryMetabolomeMetabolomicsBiomarkersChromatography, LiquidHumansMagnetic Resonance SpectroscopyBiomarkersCSFLiquorMass spectrometryMetabolomicsNMR spectroscopytimsTOF

Identifiers

What OpenQuestion holds

Textmetadata
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.