Evidence map›Paper›PMID 40065679›Full record

ArticleChemical research in toxicology2025

Positive Ion Tandem Mass Spectrometry Offers Enhanced Structural Insights for the Discovery of Mercapturic Acids.

Kevin J Murray, Dylan Mckeon, Chiara Lecchi, Laura Maertens, Peter W Villalta, Silvia Balbo

Abstract read
In one paragraph

Article in Chemical research in toxicology, 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

6 authors.

Kevin J MurrayMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID 0000-0002-8588-9691
Dylan MckeonMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Chiara LecchiMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Laura MaertensMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Peter W VillaltaMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID 0000-0002-0067-3083
Silvia BalboMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID 0000-0002-7686-0504

Funding

Clinical Trial of Watercress in Detoxification of Environmental Toxicants and CarcinogensR01CA222005 · NCI · UNIVERSITY OF MINNESOTA · PI HATSUKAMI, DOROTHY K, HECHT, STEPHEN S · 2018 to 2022
$3.1M
Mass Spectrometric Analytical Collaborations with Members of the Masonic Cancer Center of the University of MinnesotaR50CA211256 · NCI · UNIVERSITY OF MINNESOTA · PI Peter William Villalta · 2016 to 2026
$2.1M
A transformative next-generation Orbitrap Tribrid system for the UMN and Upper MidwestS10OD028717 · OD · UNIVERSITY OF MINNESOTA · PI GRIFFIN, TIMOTHY J. · 2020 to 2020
$1.2M
NCI NIH HHS R01 CA222005NCI NIH HHS R50 CA211256NIH HHS S10 OD028717
6 · The paper itself

Abstract

Urinary mercapturic acids represent valuable biological markers of chemical exposure and detoxification mechanisms. Characterization of this class of compound has historically employed LC-MS/MS analytical platforms using negative ion mode. In this study, we report the first application of a UHPLC-MS/MS method using positive ion mode detection for the unbiased characterization of mercapturic acids. A preliminary spectral library of synthetically available mercapturic acids was generated to evaluate fragmentation pathways of mercapturic acids in positive mode. From our findings, we propose a discovery method that utilizes a neutral loss monitoring paradigm based on two diagnostic fragmentation pathways of mercapturic acids. Using a cohort of 20 nonsmokers and 20 smokers, we detected 180 putative mercapturic acid signatures that exhibited a high degree of reproducibility. Following a combination of multivariate and univariate statistics, we found 33 putative mercapturic acids associated with smoking status. The increased structural insights of analytical profiling in positive mode enable more informative annotation of discovery results. Using the latest structural prediction technology, we were able to assign preliminary structural identifications to these features and eliminate likely false positive detections. From our workflow, we discovered a previously unreported mercapturic acid with a strong association with tobacco cigarette usage and putatively identified it as

Indexed as

AcetylcysteineAdultChromatography, High Pressure LiquidFemaleHumansMaleMiddle AgedMolecular StructureSmokingTandem Mass SpectrometryAcetylcysteine

Identifiers

PMID40065679
PMCPMC12268947

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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.