Evidence map›Paper›PMID 42503819›Full record

ReviewJournal of the American Society for Mass Spectrometry2026

Aziridination-Enabled Structural and Quantitative Lipidomics.

Erin A Hirtzel, Gopal Reddy Ramidi, Xin Yan

Abstract readReview
In one paragraph

Review in Journal of the American Society for Mass Spectrometry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Erin A HirtzelDepartment of Chemistry, Texas A&M University, College Station77843, Texas, United States.
Gopal Reddy RamidiDepartment of Chemistry, Texas A&M University, College Station77843, Texas, United States.
Xin YanDepartment of Chemistry, Texas A&M University, College Station77843, Texas, United States.ORCID 0000-0002-8292-130X

Funding

Panoptic electrochemical probe for next-generation mass spectrometry based-lipidomicsR35GM143047 · NIGMS · TEXAS A&M UNIVERSITY · PI Xin Yan · 2021 to 2026
$2.6M
Division of Chemistry 2145487NIGMS NIH HHS R35 GM143047NIGMS NIH HHS R35GM143047Science, Mathematics, And Research For Transformation Scholarship Program NAWelch Foundation A-2089
6 · The paper itself

Abstract

Chemical derivatization has long been employed to enhance the structural characterization of lipids by mass spectrometry (MS). In recent years, olefin aziridination has emerged as a powerful and versatile strategy in lipidomics, driven by its ability to selectively target carbon-carbon double bonds (C═C bonds) and to introduce nitrogen-containing functionalities that facilitate both structural elucidation and quantitative analysis. Aziridination-enabled MS approaches provide reliable C═C bond localization through diagnostic fragmentation, while simultaneously improving ionization efficiency, particularly for nonpolar lipid classes. A diverse range of aziridination chemistry has been developed, each offering distinct advantages for lipid analysis. In this review, we summarize recent advances in aziridination-enabled MS methodologies, with an emphasis on reaction development and analytical performance. We further highlight applications across biological and complex sample systems. These developments highlight aziridination-assisted MS as a powerful strategy for precision lipidomics with isomer-resolved capability and accurate quantification.

Indexed as

AziridinesLipidomicsLipidsMass SpectrometryAnimalsHumansAziridinesLipidsaziridinationlipidomicsmass spectrometry

Identifiers

PMID42503819
PMCPMC13450398

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.