Evidence map›Paper›PMID 27596988›Full record

ArticleScientific reports2016

Food-induced changes of lipids in rat neuronal tissue visualized by ToF-SIMS imaging.

Masoumeh Dowlatshahi Pour, Eva Jennische, Stefan Lange, Andrew G Ewing, Per Malmberg

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Lipidome atlas of the adult human brain.Nature communications · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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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

5 authors.

Masoumeh Dowlatshahi PourDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Eva JennischeInstitute of Biomedicine, Sahlgrenska Academy, Gothenburg, Sweden.
Stefan LangeInstitute of Biomedicine, Sahlgrenska Academy, Gothenburg, Sweden.
Andrew G EwingDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Per MalmbergDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time of flight secondary ion mass spectrometry (ToF-SIMS) was used to image the lipid localization in brain tissue sections from rats fed specially processed cereals (SPC). An IonTof 5 instrument equipped with a Bi cluster ion gun was used to analyze the tissue sections. Data from 15 brain samples from control and cereal-fed rats were recorded and exported to principal components analysis (PCA). The data clearly show changes of certain lipids in the brain following cereal feeding. PCA score plots show a good separation in lipid distribution between the control and the SPC-fed group. The loadings plot reveal that the groups separated mainly due to changes in cholesterol, vitamin E and c18:2, c16:0 fatty acid distribution as well as some short chain monocarboxylic fatty acid compositions. These insights relate to the working mechanism of SPC as a dietary supplement. SPC is thought to activate antisecretory factor (AF), an endogenous protein with regulatory function for inflammation and fluid secretion. These data provide insights into lipid content in brain following SPC feeding and suggest a relation to activating AF.

Indexed as

AnimalsCholesterolEdible GrainFatty AcidsFoodInflammationLipidsMaleNeuronsNeuropeptidesPrincipal Component AnalysisRatsRats, Sprague-DawleySpectrometry, Mass, Secondary IonVitamin Eantisecretory factorCholesterolFatty AcidsLipidsNeuropeptidesVitamin E

Identifiers

PMID27596988
PMCPMC5011716

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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.