Evidence map›Paper›PMID 33025019›Full record

ArticleJournal of analytical toxicology2021

Large Differences in Urinary Benzene Metabolite S-Phenylmercapturic Acid Quantitation: A Comparison of Five LC-MS-MS Methods.

Denise S Tevis, Andrew Willmore, Deepak Bhandari, Brett Bowman, Chloe Biren, Brandon M Kenwood, Peyton Jacob, Jia Liu, Kristina Bello, Stephen S Hecht and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of analytical toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
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  5. Association of Urinary Biomarkers of Tobacco Exposure with Lung Cancer Risk in African American and White Cigarette Smokers in the Southern Community Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  6. Article
  7. Influence of Half-life and Smoking/Nonsmoking Ratio on Biomarker Consistency between Waves 1 and 2 of the Population Assessment of Tobacco and Health Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
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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

16 authors at 5 institutions in 2 countries.

Denise S TevisTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, 30341, USA.
Andrew WillmoreOak Ridge Institute for Science and Education, Knoxville, TN, 37831, USA.
Deepak BhandariTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, 30341, USA.
Brett BowmanOak Ridge Institute for Science and Education, Knoxville, TN, 37831, USA.
Chloe BirenOak Ridge Institute for Science and Education, Knoxville, TN, 37831, USA.
Brandon M KenwoodTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, 30341, USA.
Peyton JacobClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.
Jia LiuClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.
Kristina BelloClinical Pharmacology Program, Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, 94143, USA.
Stephen S HechtMasonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID 0000-0001-7228-1356
Steven G CarmellaMasonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID 0000-0001-7383-5824
Menglan ChenMasonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA.
Eric GaudreauCentre de Toxicologie du Québec, Unité Laboratoire de Toxicologie, Institut National de Santé Publique du Québec, Direction de la santé environnementale et de la toxicologie, Québec, G1V 5B3, Canada.
Jean-François BienvenuCentre de Toxicologie du Québec, Unité Laboratoire de Toxicologie, Institut National de Santé Publique du Québec, Direction de la santé environnementale et de la toxicologie, Québec, G1V 5B3, Canada.ORCID 0000-0002-8861-6701
Benjamin C BlountTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, 30341, USA.
Víctor R De JesúsTobacco and Volatiles Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, 30341, USA.
Centers for Disease Control and Prevention · USOak Ridge Institute for Science and EducationUniversity of California, San Francisco · USUniversity of Minnesota Medical Center · USInstitut National de Santé Publique du Québec · CA

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
Research Support CoreP30DA012393 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ST.HELEN, GIDEON · 1999 to 2024
$17.1M
e-Cigarettes: Formaldehyde DNA Adducts, Oxidative Damage, and Potential Toxicity and CarcinogenesisR01CA203851 · NCI · UNIVERSITY OF MINNESOTA · PI HECHT, STEPHEN S · 2017 to 2021
$2.1M
Cancer Center Support CA-077598NCI NIH HHS P30 CA077598NCI NIH HHS R01 CA203851NIDA NIH HHS P30 DA012393NIH HHS P30 DA012393US National Cancer Institute and the Food and Drug Administration Center for Tobacco Products CA-203851
6 · The paper itself

Abstract

Benzene is a known genotoxic carcinogen linked to many hematological abnormalities. S-phenylmercapturic acid (PHMA, N-acetyl-S-(phenyl)-L-cysteine, CAS# 4775-80-8) is a urinary metabolite of benzene and is used as a biomarker to assess benzene exposure. Pre-S-phenylmercapturic acid (pre-PHMA) is a PHMA precursor that dehydrates to PHMA at acidic pH. Published analytical methods that measure urinary PHMA adjust urine samples to a wide range of pH values using several types of acid, potentially leading to highly variable results depending on the concentration of pre-PHMA in a sample. Information is lacking on the variation in sample preparation among laboratories regularly measuring PHMA and the effect of those differences on PHMA quantitation in human urine samples. To investigate the differences in PHMA quantitation, we conducted an inter-laboratory comparison that included the analysis of 50 anonymous human urine samples (25 self-identified smokers and 25 self-identified non-smokers), quality control samples and commercially available reference samples in five laboratories using different analytical methods. Observed urinary PHMA concentrations were proportionally higher at lower pH, and results for anonymous urine samples varied widely among the methods. The method with the neutral preparation pH yielded results about 60% lower than the method using the most acidic conditions. Samples spiked with PHMA showed little variation, suggesting that the variability in results in human urine samples across methods is driven by the acid-mediated conversion of pre-PHMA to PHMA.

Indexed as

BenzeneOccupational ExposureAcetylcysteineBiomarkersChromatography, LiquidHumansTandem Mass SpectrometryAcetylcysteineBenzeneBiomarkersS-phenyl-N-acetylcysteine

Identifiers

PMID33025019
PMCPMC8363762
OpenAlexW3091898594

What OpenQuestion holds

Textmetadata
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.