Evidence map›Paper›PMID 36355113›Full record

ArticleMetabolites2022

Congruence and Complementarity of Differential Mobility Spectrometry and NMR Spectroscopy for Plasma Lipidomics.

Mohan Ghorasaini, Konstantina Ismini Tsezou, Aswin Verhoeven, Yassene Mohammed, Panayiotis Vlachoyiannopoulos, Emmanuel Mikros, Martin Giera

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 25 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

7 authors at 3 institutions in 3 countries.

Mohan GhorasainiCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-6017-5393
Konstantina Ismini TsezouDepartment of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, 157 71 Athens, Greece.ORCID 0000-0002-7826-1863
Aswin VerhoevenCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-0373-9372
Yassene MohammedCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-3265-3332
Panayiotis VlachoyiannopoulosDepartment of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, 157 71 Athens, Greece.ORCID 0000-0001-5485-5328
Emmanuel MikrosPharmagnose S.A., 320 11 Inofyta, Greece.ORCID 0000-0002-5984-5169
Martin GieraCenter for Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-1684-1894
Leiden University Medical Center · NLNational and Kapodistrian University of Athens · GRUniversity of Victoria · CA

Funding

European Union 812890
6 · The paper itself

Abstract

The lipid composition of lipoprotein particles is determinative of their respective formation and function. In turn, the combination and correlation of nuclear magnetic resonance (NMR)-based lipoprotein measurements with mass spectrometry (MS)-based lipidomics is an appealing technological combination for a better understanding of lipid metabolism in health and disease. Here, we developed a combined workflow for subsequent NMR- and MS-based analysis on single sample aliquots of human plasma. We evaluated the quantitative agreement of the two platforms for lipid quantification and benchmarked our combined workflow. We investigated the congruence and complementarity between the platforms in order to facilitate a better understanding of patho-physiological lipoprotein and lipid alterations. We evaluated the correlation and agreement between the platforms. Next, we compared lipid class concentrations between healthy controls and rheumatoid arthritis patient samples to investigate the consensus among the platforms on differentiating the two groups. Finally, we performed correlation analysis between all measured lipoprotein particles and lipid species. We found excellent agreement and correlation (r > 0.8) between the platforms and their respective diagnostic performance. Additionally, we generated correlation maps detailing lipoprotein/lipid interactions and describe disease-relevant correlations.

Indexed as

differential mobility spectrometrylipidlipidomicslipoproteinmass spectrometrynuclear magnetic resonance

Identifiers

PMID36355113
PMCPMC9699282
OpenAlexW4307939629

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.