Evidence map›Paper›PMID 37432892›Full record

ArticleEnvironmental science & technology2023

Global Profiling of Urinary Mercapturic Acids Using Integrated Library-Guided Analysis.

Zhengzhi Xie, Jin Y Chen, Hong Gao, Rachel J Keith, Aruni Bhatnagar, Pawel Lorkiewicz, Sanjay Srivastava

Open access · greenAbstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. High-throughput UPLC-ESI/MSMS method for simultaneous measurement of the urinary metabolites of volatile organic compounds and tobacco alkaloids.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2025
    Article
  9. Article
  10. Article
  11. 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

7 authors at 1 institution in 1 country.

Zhengzhi XieAmerican Heart Association-Tobacco Regulation and Addiction Center, University of Louisville, Louisville, Kentucky 40202, United States.
Jin Y ChenAmerican Heart Association-Tobacco Regulation and Addiction Center, University of Louisville, Louisville, Kentucky 40202, United States.ORCID 0000-0002-6034-9971
Hong GaoAmerican Heart Association-Tobacco Regulation and Addiction Center, University of Louisville, Louisville, Kentucky 40202, United States.
Rachel J KeithAmerican Heart Association-Tobacco Regulation and Addiction Center, University of Louisville, Louisville, Kentucky 40202, United States.
Aruni BhatnagarAmerican Heart Association-Tobacco Regulation and Addiction Center, University of Louisville, Louisville, Kentucky 40202, United States.
Pawel LorkiewiczAmerican Heart Association-Tobacco Regulation and Addiction Center, University of Louisville, Louisville, Kentucky 40202, United States.ORCID 0000-0002-1755-9826
Sanjay SrivastavaAmerican Heart Association-Tobacco Regulation and Addiction Center, University of Louisville, Louisville, Kentucky 40202, United States.
American Heart Association · US

Funding

ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Superfund Training CoreP42ES023716 · NIEHS · UNIVERSITY OF LOUISVILLE · PI FORTNER, JOHN · 2017 to 2025
$18.1M
University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI J CHRISTOPHER STATES · 2020 to 2026
$10.0M
UOFL ENVIRONMENTAL HEALTH SCIENCES TRAINING PROGRAMT32ES011564 · NIEHS · UNIVERSITY OF LOUISVILLE · PI David W Hein, John Pierce Wise · 2004 to 2026
$7.1M
Bruker timsTOF Mass SpectrometerS10OD026840 · OD · UNIVERSITY OF LOUISVILLE · PI LORKIEWICZ, PAWEL K · 2020 to 2020
$598k
NHLBI NIH HHS U54 HL120163NIEHS NIH HHS P30 ES030283NIEHS NIH HHS P42 ES023716NIEHS NIH HHS T32 ES011564NIH HHS S10 OD026840
6 · The paper itself

Abstract

Urinary mercapturic acids (MAs) are often used as biomarkers for monitoring human exposures to occupational and environmental xenobiotics. In this study, we developed an integrated library-guided analysis workflow using ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry. This method includes expanded assignment criteria and a curated library of 220 MAs and addresses the shortcomings of previous untargeted approaches. We employed this workflow to profile MAs in the urine of 70 participants─40 nonsmokers and 30 smokers. We found approximately 500 MA candidates in each urine sample, and 116 MAs from 63 precursors were putatively annotated. These include 25 previously unreported MAs derived mostly from alkenals and hydroxyalkenals. Levels of 68 MAs were comparable in nonsmokers and smokers, 2 MAs were higher in nonsmokers, and 46 MAs were elevated in smokers. These included MAs of polycyclic aromatic hydrocarbons and hydroxyalkenals and those derived from toxicants present in cigarette smoke (e.g., acrolein, 1,3-butadiene, isoprene, acrylamide, benzene, and toluene). Our workflow allowed profiling of known and unreported MAs from endogenous and environmental sources, and the levels of several MAs were increased in smokers. Our method can also be expanded and applied to other exposure-wide association studies.

Indexed as

AcetylcysteineTandem Mass SpectrometryAcroleinBiomarkersChromatography, LiquidHumansAcetylcysteineAcroleinBiomarkersaliphaticsaromaticscigarettesexposomicsLC-MSmercapturic acidsmercapturomicsxenobiotic exposure

Identifiers

PMID37432892
PMCPMC11064822
OpenAlexW4383875145

What OpenQuestion holds

Textmetadata
LicenceTDM
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.