Evidence map›Paper›PMID 29392175›Full record

ArticleACS central science2018

Correlated Heterospectral Lipidomics for Biomolecular Profiling of Remyelination in Multiple Sclerosis.

Mads S Bergholt, Andrea Serio, James S McKenzie, Amanda Boyd, Renata F Soares, Jocelyn Tillner, Ciro Chiappini, Vincen Wu, Andreas Dannhorn, Zoltan Takats and 2 more

Open access · diamondAbstract read
In one paragraph

Article in ACS central science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.4field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Review
  7. Opto-Lipidomics of Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
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  15. Article
  16. Article
  17. Mass Spectrometry-based Metabolomics in Translational Research.Advances in experimental medicine and biology · 2021
    Review
  18. Review
  19. Article
  20. Article
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

12 authors at 3 institutions in 1 country.

Mads S BergholtDepartment of Materials, Imperial College London, London SW7 2AZ, United Kingdom.
Andrea SerioDepartment of Materials, Imperial College London, London SW7 2AZ, United Kingdom.
James S McKenzieComputational and Systems Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
Amanda BoydMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh EH16 4UU, United Kingdom.
Renata F SoaresComputational and Systems Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
Jocelyn TillnerComputational and Systems Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
Ciro ChiappiniDepartment of Materials, Imperial College London, London SW7 2AZ, United Kingdom.
Vincen WuComputational and Systems Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
Andreas DannhornComputational and Systems Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
Zoltan TakatsComputational and Systems Medicine, Imperial College London, London SW7 2AZ, United Kingdom.
Anna WilliamsMRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh EH16 4UU, United Kingdom.
Molly M StevensDepartment of Materials, Imperial College London, London SW7 2AZ, United Kingdom.
Imperial College London · GBNIHR Imperial Biomedical Research Centre · GBMRC Centre for Regenerative Medicine · GB

Funding

Medical Research Council MC_PC_16048Medical Research Council MR/K017047/1Medical Research Council MR/K026666/1Medical Research Council MR/K026682/1Medical Research Council MR/L012677/1Medical Research Council MR/P016022/1National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/R001006/1
6 · The paper itself

Abstract

Analyzing lipid composition and distribution within the brain is important to study white matter pathologies that present focal demyelination lesions, such as multiple sclerosis. Some lesions can endogenously re-form myelin sheaths. Therapies aim to enhance this repair process in order to reduce neurodegeneration and disability progression in patients. In this context, a lipidomic analysis providing both precise molecular classification and well-defined localization is crucial to detect changes in myelin lipid content. Here we develop a correlated heterospectral lipidomic (HSL) approach based on coregistered Raman spectroscopy, desorption electrospray ionization mass spectrometry (DESI-MS), and immunofluorescence imaging. We employ HSL to study the structural and compositional lipid profile of demyelination and remyelination in an induced focal demyelination mouse model and in multiple sclerosis lesions from patients

Identifiers

PMID29392175
PMCPMC5785772
OpenAlexW2778454364

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.