Evidence map›Paper›PMID 39817428›Full record

ArticleAnalytical chemistry2025

OzNOxESI: A Novel Mass Spectrometry Ion Chemistry for Elucidating Lipid Double-Bond Regioisomerism in Complex Mixtures.

Ryan A Smith, Ashraf M Omar, Fayaj A Mulani, Qibin Zhang

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
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.

Ryan A SmithCenter for Translational Biomedical Research, University of North Carolina at Greensboro, Kannapolis, North Carolina 28081, United States.ORCID 0009-0000-0233-2170
Ashraf M OmarCenter for Translational Biomedical Research, University of North Carolina at Greensboro, Kannapolis, North Carolina 28081, United States.
Fayaj A MulaniCenter for Translational Biomedical Research, University of North Carolina at Greensboro, Kannapolis, North Carolina 28081, United States.
Qibin ZhangCenter for Translational Biomedical Research, University of North Carolina at Greensboro, Kannapolis, North Carolina 28081, United States.ORCID 0000-0002-6135-8706

Funding

Lipidome Remodeling During Development of T1DR01DK123499 · NIDDK · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI ZHANG, QIBIN · 2020 to 2024
$1.4M
NIDDK NIH HHS R01 DK123499
6 · The paper itself

Abstract

Double bond (C═C) position isomerism in unsaturated lipids can indicate abnormal lipid metabolism and pathological conditions. Novel chemical derivatization and mass spectrometry-based techniques are under continuing development to provide more accurate elucidation of lipid structure in finer structural detail. Here, we introduce a new ion chemistry for annotating lipid C═C positions, which is highly efficient for liquid chromatography-mass spectrometry-based lipidomics. This ion chemistry relies on the online derivatization of lipid C═C with ozone and nitrogen oxides upon fragmentation by tandem mass spectrometry, yielding characteristic product ions capable of unambiguously annotating C═C regioisomers. The new workflow was thoroughly evaluated with various glycerophospholipids and fatty acids and applied to human plasma lipid extract, successfully identified and quantified 270 glycerophospholipid and 36 fatty acid C═C isomers with an in-house developed software, OzNOx Companion, for automated data analysis.

Indexed as

Complex MixturesFatty AcidsGlycerophospholipidsLipidsHumansIsomerismLipidomicsSoftwareStereoisomerismTandem Mass SpectrometryComplex MixturesFatty AcidsGlycerophospholipidsLipids

Identifiers

PMID39817428
PMCPMC11780577

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.