Evidence map›Paper›PMID 33651263›Full record

ArticleMolecular neurobiology2021

Metabolic Changes in Brain Slices over Time: a Multiplatform Metabolomics Approach.

Carolina Gonzalez-Riano, Silvia Tapia-González, Gertrudis Perea, Candela González-Arias, Javier DeFelipe, Coral Barbas

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023
    Review
  7. Impact of renal tubularFrontiers in molecular biosciences · 2023
    Article
  8. 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

6 authors.

Carolina Gonzalez-RianoCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660, Boadilla del Monte, Spain.
Silvia Tapia-GonzálezLaboratorio Cajal de Circuitos Corticales (CTB), Universidad Politécnica de Madrid, Madrid, Spain.
Gertrudis PereaInstituto Cajal (CSIC), Avenida Doctor Arce 37, 28002, Madrid, Spain.
Candela González-AriasInstituto Cajal (CSIC), Avenida Doctor Arce 37, 28002, Madrid, Spain.
Javier DeFelipeLaboratorio Cajal de Circuitos Corticales (CTB), Universidad Politécnica de Madrid, Madrid, Spain.
Coral BarbasCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660, Boadilla del Monte, Spain. cbarbas@ceu.es.ORCID http://orcid.org/0000-0003-4722-491X

Funding

Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (ES) CB06/05/0066CSIC PIE 2019AEP152FEDER program S2017/BMD3684MINECO BES-2017-080303MINECO BFU2016-75107-PMINECO PID2019-106579RB-I00Ministerio de Ciencia, Innovación y Universidades PGC2018-094307-B-I00Ministerio de Ciencia, Innovación y Universidades RTI2018-095166-B-I00
6 · The paper itself

Abstract

Brain slice preparations are widely used for research in neuroscience. However, a high-quality preparation is essential and there is no consensus regarding stable parameters that can be used to define the status of the brain slice preparation after its collection at different time points. Thus, it is critical to fully characterize the experimental conditions for ex vivo studies using brain slices for electrophysiological recording. In this study, we used a multiplatform (LC-MS and GC-MS) untargeted metabolomics-based approach to shed light on the metabolome and lipidome changes taking place at different time intervals during the brain slice preparation process. We have found significant modifications in the levels of 300 compounds, including several lipid classes and their derivatives, as well as metabolites involved in the GABAergic pathway and the TCA cycle. All these preparation-dependent changes in the brain biochemistry related to the time interval should be taken into consideration for future studies to facilitate non-biased interpretations of the experimental results.

Indexed as

AnimalsBrainChromatography, LiquidGas Chromatography-Mass SpectrometryLipidomicsMaleMetabolomeMetabolomicsMiceMice, Inbred C57BLOrgan Culture TechniquesTime FactorsBrain sliceElectrophysiologyLipidomicsMass-spectrometryMetabolomicsStability

Identifiers

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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.