Evidence map›Paper›PMID 36830753›Full record

ArticleBiomolecules2023

Applied Clinical Tandem Mass Spectrometry-Based Quantification Methods for Lipid-Derived Biomarkers, Steroids and Cannabinoids: Fit-for-Purpose Validation Methods.

Isabelle Matias, Ilaria Belluomo, Pierre-Louis Raux, Monique Vallée

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2023. 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
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  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

4 authors at 1 institution in 1 country.

Isabelle MatiasINSERM, Neurocentre Magendie, University of Bordeaux, U1215, F-33000 Bordeaux, France.
Ilaria BelluomoINSERM, Neurocentre Magendie, University of Bordeaux, U1215, F-33000 Bordeaux, France.
Pierre-Louis RauxINSERM, Neurocentre Magendie, University of Bordeaux, U1215, F-33000 Bordeaux, France.ORCID 0000-0002-4974-1251
Monique ValléeINSERM, Neurocentre Magendie, University of Bordeaux, U1215, F-33000 Bordeaux, France.ORCID 0000-0002-3642-4257
Université de Bordeaux · FR

Funding

Aelis Farma 11148B20Aquitaine Regional Council 20071301003PFM; 11011321LabEx BRAIN ANR-10-LABX-43
6 · The paper itself

Abstract

The emergence of metabolomics and quantification approaches is revealing new biomarkers applied to drug discovery. In this context, tandem mass spectrometry is the method of choice, requiring a specific validation process for preclinical and clinical applications. Research on the two classes of lipid mediators, steroids and cannabinoids, has revealed a potential interaction in cannabis addiction and metabolism-related disorders. Here we present the development of GC-MS/MS and LC-MS/MS methods for routine quantification of targeted steroids and cannabinoids, respectively. The methods were developed using an isotopic approach, including validation for linearity, selectivity, LLOQ determination, matrix effect, carryover, between- and within-run accuracy and precision, and stability tests to measure 11 steroids and seven cannabinoids in human plasma. These methods were satisfactory for most validity conditions, although not all met the acceptance criteria for all analytes. A comparison of calibration curves in biological and surrogate matrices and in methanol showed that the latter condition was more applicable for our quantification of endogenous compounds. In conclusion, the validation of our methods met the criteria for GLP-qualified rather than GLP-validated methods, which can be used for routine analytical studies for dedicated preclinical and clinical purposes, by combining appropriate system suitability testing, including quality controls in the biological matrix.

Indexed as

CannabinoidsTandem Mass SpectrometryBiomarkersChromatography, LiquidHumansLipidsSteroidsBiomarkersCannabinoidsLipidsSteroidscannabinoidsGC-MS/MShuman plasmaLC-MS/MSquantification methodssteroidstandem mass spectrometryvalidation

Identifiers

PMID36830753
PMCPMC9953102
OpenAlexW4321373798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.