Evidence map›Paper›PMID 32404332›Full record

ArticleJournal of lipid research2020

A high-throughput mass spectrometry-based assay for large-scale profiling of circulating human apolipoproteins.

Valentin Blanchard, Damien Garçon, Catherine Jaunet, Kevin Chemello, Stéphanie Billon-Crossouard, Audrey Aguesse, Aya Garfa, Gilles Famchon, Amada Torres, Cédric Le May and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 44 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

18 authors at 5 institutions in 2 countries.

Valentin BlanchardUniversité de La Réunion, INSERM, UMR 1188 Diabète athérothrombose Réunion Océan Indien (DéTROI), Plateforme CYROI, Saint-Denis de La Réunion, France. Electronic address: mailto:mikael.croyal@univ-nantes.fr.
Damien GarçonL'Institut du Thorax, INSERM, CNRS, University of Nantes, Nantes, France.
Catherine JaunetDepartment of Biochemistry, CHU de Nantes, France.
Kevin ChemelloUniversité de La Réunion, INSERM, UMR 1188 Diabète athérothrombose Réunion Océan Indien (DéTROI), Plateforme CYROI, Saint-Denis de La Réunion, France.
Stéphanie Billon-CrossouardNUN, INRA, CHU Nantes, UMR 1280, PhAN, IMAD, CRNH-O, Nantes, France; CRNH-O Mass Spectrometry Core Facility, Nantes, France.
Audrey AguesseNUN, INRA, CHU Nantes, UMR 1280, PhAN, IMAD, CRNH-O, Nantes, France; CRNH-O Mass Spectrometry Core Facility, Nantes, France.
Aya GarfaCRNH-O Mass Spectrometry Core Facility, Nantes, France.
Gilles FamchonDepartment of Biochemistry, CHU de Nantes, France.
Amada TorresNUN, INRA, CHU Nantes, UMR 1280, PhAN, IMAD, CRNH-O, Nantes, France.
Cédric Le MayL'Institut du Thorax, INSERM, CNRS, University of Nantes, Nantes, France.
Matthieu PichelinL'Institut du Thorax, INSERM, CNRS, University of Nantes, CHU Nantes, Nantes, France.
Edith Bigot-CorbelDepartment of Biochemistry, CHU de Nantes, France.
Gilles LambertUniversité de La Réunion, INSERM, UMR 1188 Diabète athérothrombose Réunion Océan Indien (DéTROI), Plateforme CYROI, Saint-Denis de La Réunion, France.
Bertrand CariouL'Institut du Thorax, INSERM, CNRS, University of Nantes, CHU Nantes, Nantes, France.
Samy HadjadjCRNH-O Mass Spectrometry Core Facility, Nantes, France; L'Institut du Thorax, INSERM, CNRS, University of Nantes, CHU Nantes, Nantes, France.
Michel KrempfNUN, INRA, CHU Nantes, UMR 1280, PhAN, IMAD, CRNH-O, Nantes, France; CRNH-O Mass Spectrometry Core Facility, Nantes, France; ELSAN, Clinique Bretéché, Nantes, France.
Kalyane Bach-NgohouDepartment of Biochemistry, CHU de Nantes, France; INSERM U1235, University of Nantes, Nantes, France.
Mikaël CroyalNUN, INRA, CHU Nantes, UMR 1280, PhAN, IMAD, CRNH-O, Nantes, France; CRNH-O Mass Spectrometry Core Facility, Nantes, France.
Centre National de la Recherche Scientifique · FRInserm · FRPhysioPathologie des Adaptations Nutritionnelles · FRCentre Hospitalier Universitaire de Nantes · FRCentre d'Investigation Clinique de Nantes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apolipoproteins govern lipoprotein metabolism and are promising biomarkers of metabolic and cardiovascular diseases. Unlike immunoassays, MS enables the quantification and phenotyping of multiple apolipoproteins. Hence, here, we aimed to develop a LC-MS/MS assay that can simultaneously quantitate 18 human apolipoproteins [A-I, A-II, A-IV, A-V, B48, B100, C-I, C-II, C-III, C-IV, D, E, F, H, J, L1, M, and (a)] and determined apoE, apoL1, and apo(a) phenotypes in human plasma and serum samples. The plasma and serum apolipoproteins were trypsin digested through an optimized procedure and peptides were extracted and analyzed by LC-MS/MS. The method was validated according to standard guidelines in samples spiked with known peptide amounts. The LC-MS/MS results were compared with those obtained with other techniques, and reproducibility, dilution effects, and stabilities were also assessed. Peptide markers were successfully selected for targeted apolipoprotein quantification and phenotyping. After optimization, the assay was validated for linearity, lower limits of quantification, accuracy (biases: -14.8% to 12.1%), intra-assay variability [coefficients of variation (CVs): 1.5-14.2%], and inter-assay repeatability (CVs: 4.1-14.3%). Bland-Altman plots indicated no major statistically significant differences between LC-MS/MS and other techniques. The LC-MS/MS results were reproducible over five repeated experiments (CVs: 1.8-13.7%), and we identified marked differences among the plasma and serum samples. The LC-MS/MS assay developed here is rapid, requires only small sampling volumes, and incurs reasonable costs, thus making it amenable for a wide range of studies of apolipoprotein metabolism. We also highlight how this assay can be implemented in laboratories.

Indexed as

Mass SpectrometryApolipoproteinsBlood Chemical AnalysisChromatography, LiquidHumansLimit of DetectionApolipoproteinsassay developmentisotopic labelinglipid metabolismlipoprotein metabolismmetabolic diseaseplasma lipidproteomicsserum lipid

Identifiers

PMID32404332
PMCPMC7328037
OpenAlexW3025465078

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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.