Evidence map›Paper›PMID 34026735›Full record

ArticleFrontiers in chemistry2021

Large-Scale Analysis of Apolipoprotein CIII Glycosylation by Ultrahigh Resolution Mass Spectrometry.

Daniel Demus, Annemieke Naber, Viktoria Dotz, Bas C Jansen, Marco R Bladergroen, Jan Nouta, Eric J G Sijbrands, Mandy Van Hoek, Simone Nicolardi, Manfred Wuhrer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Apolipoprotein-CIIIInternational journal of molecular sciences · 2023
    Article
  6. The Role of Clinical Glyco(proteo)mics in Precision Medicine.Molecular & cellular proteomics : MCP · 2023
    Article
  7. Article
  8. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. 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

10 authors at 4 institutions in 2 countries.

Daniel DemusLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, Netherlands.
Annemieke NaberDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Viktoria DotzLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, Netherlands.
Bas C JansenLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, Netherlands.
Marco R BladergroenLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, Netherlands.
Jan NoutaLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, Netherlands.
Eric J G SijbrandsDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Mandy Van HoekDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Simone NicolardiLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, Netherlands.
Manfred WuhrerLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, Netherlands.
Netherlands Metabolomics Centre · NLErasmus MC · NLLeiden University Medical Center · NLCulham Science Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Apolipoprotein-CIII (apo-CIII) is a glycoprotein involved in lipid metabolism and its levels are associated with cardiovascular disease risk. Apo-CIII sialylation is associated with improved plasma triglyceride levels and its glycosylation may have an effect on the clearance of triglyceride-rich lipoproteins by directing these particles to different metabolic pathways. Large-scale sample cohort studies are required to fully elucidate the role of apo-CIII glycosylation in lipid metabolism and associated cardiovascular disease. In this study, we revisited a high-throughput workflow for the analysis of intact apo-CIII by ultrahigh-resolution MALDI FT-ICR MS. The workflow includes a chemical oxidation step to reduce methionine oxidation heterogeneity and spectrum complexity. Sinapinic acid matrix was used to minimize the loss of sialic acids upon MALDI. MassyTools software was used to standardize and automate MS data processing and quality control. This method was applied on 771 plasma samples from individuals without diabetes allowing for an evaluation of the expression levels of apo-CIII glycoforms against a panel of lipid biomarkers demonstrating the validity of the method. Our study supports the hypothesis that triglyceride clearance may be regulated, or at least strongly influenced by apo-CIII sialylation. Interestingly, the association of apo-CIII glycoforms with triglyceride levels was found to be largely independent of body mass index. Due to its precision and throughput, the new workflow will allow studying the role of apo-CIII in the regulation of lipid metabolism in various disease settings.

Indexed as

apolipoprotein-CIIIglycosylationhigh-throughputmass spectrometryoxidation

Identifiers

PMID34026735
PMCPMC8138127
OpenAlexW3158475784

What OpenQuestion holds

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LicenceCC BY
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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.