Evidence map›Paper›PMID 25285979›Full record

ArticleJournal of visualized experiments : JoVE2014

Metabolomic analysis of rat brain by high resolution nuclear magnetic resonance spectroscopy of tissue extracts.

Norbert W Lutz, Evelyne Béraud, Patrick J Cozzone

Open access · hybridAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. 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
0.7field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Norbert W LutzCentre de Résonance Magnétique Biologique et Médicale, UMR 7339 CNRS, Faculté de Médecine, Aix-Marseille Université; norbert.lutz@univ-amu.fr.
Evelyne BéraudCentre de Recherches en Oncologie Biologique et Oncopharmacologie, UMR 911 INSERM, Faculté de Médecine, Aix-Marseille Université
Patrick J CozzoneCentre de Résonance Magnétique Biologique et Médicale, UMR 7339 CNRS, Faculté de Médecine, Aix-Marseille Université
Aix-Marseille Université · FRCentre de Résonance Magnétique Biologique et Médicale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of gene expression on the RNA and protein levels have long been used to explore biological processes underlying disease. More recently, genomics and proteomics have been complemented by comprehensive quantitative analysis of the metabolite pool present in biological systems. This strategy, termed metabolomics, strives to provide a global characterization of the small-molecule complement involved in metabolism. While the genome and the proteome define the tasks cells can perform, the metabolome is part of the actual phenotype. Among the methods currently used in metabolomics, spectroscopic techniques are of special interest because they allow one to simultaneously analyze a large number of metabolites without prior selection for specific biochemical pathways, thus enabling a broad unbiased approach. Here, an optimized experimental protocol for metabolomic analysis by high-resolution NMR spectroscopy is presented, which is the method of choice for efficient quantification of tissue metabolites. Important strengths of this method are (i) the use of crude extracts, without the need to purify the sample and/or separate metabolites; (ii) the intrinsically quantitative nature of NMR, permitting quantitation of all metabolites represented by an NMR spectrum with one reference compound only; and (iii) the nondestructive nature of NMR enabling repeated use of the same sample for multiple measurements. The dynamic range of metabolite concentrations that can be covered is considerable due to the linear response of NMR signals, although metabolites occurring at extremely low concentrations may be difficult to detect. For the least abundant compounds, the highly sensitive mass spectrometry method may be advantageous although this technique requires more intricate sample preparation and quantification procedures than NMR spectroscopy. We present here an NMR protocol adjusted to rat brain analysis; however, the same protocol can be applied to other tissues with minor modifications.

Indexed as

AnimalsBrainBrain ChemistryFemaleMetabolomicsNuclear Magnetic Resonance, BiomolecularRatsRats, Inbred LewTissue ExtractsTissue Extracts

Identifiers

PMID25285979
PMCPMC4527337
OpenAlexW2036989297

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.