Evidence map›Paper›PMID 32079607›Full record

ArticleBMJ open respiratory research2020

Correlation between biomarkers of exposure, effect and potential harm in the urine of electronic cigarette users.

Shane Sakamaki-Ching, Monique Williams, My Hua, Jun Li, Steve M Bates, Andrew N Robinson, Timothy W Lyons, Maciej Lukasz Goniewicz, Prue Talbot

Open access · goldAbstract read
In one paragraph

Article in BMJ open respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
3.6field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Lung Damage Caused by Heated Tobacco Products and Electronic Nicotine Delivery Systems: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Review
  8. Toxicity and Appeal of Flavoured E-Cigarettes and Flavour Ban Outcomes: A Narrative Review.International journal of environmental research and public health · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Assessing the Relationship between Biomarkers of Exposure and Biomarkers of Potential Harm: PATH Study Wave 1 (2013 to 2014).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  16. Article
  17. Does vaping increase the likelihood of SARS-CoV-2 infection? Paradoxically yes and no.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Shane Sakamaki-ChingDepartment of Cell, Molecular, and Developmental Biology, University of California Riverside, Riverside, California, USA.
Monique WilliamsDepartment of Toxicology, University of California Riverside, Riverside, California, USA.
My HuaDepartment of Toxicology, University of California Riverside, Riverside, California, USA.
Jun LiDepartment of Statistics, University of California Riverside, Riverside, California, USA.
Steve M BatesDepartment of Earth and Planetary Sciences, University of California Riverside, Riverside, California, USA.
Andrew N RobinsonDepartment of Earth and Planetary Sciences, University of California Riverside, Riverside, California, USA.
Timothy W LyonsDepartment of Earth and Planetary Sciences, University of California Riverside, Riverside, California, USA.
Maciej Lukasz GoniewiczDepartment of Health Behavior, Roswell Park Cancer Institute, Buffalo, New York, USA.
Prue TalbotDepartment of Cell, Molecular, and Developmental Biology, University of California Riverside, Riverside, California, USA talbot@ucr.edu.ORCID 0000-0001-8833-0845
University of California, Riverside · USRoswell Park Comprehensive Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Christine B. Ambrosone · 1985 to 2026
$116.6M
Research Training in Environmental ToxicologyT32ES018827 · NIEHS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Yinsheng Wang · 2010 to 2026
$5.3M
Metals in Electronic Cigarette Aerosol R01DA036493 · NIDA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI TALBOT, PRUDENCE · 2014 to 2018
$3.6M
Nicotine delivery from novel non tobacco electronic systemsR01DA037446 · NIDA · ROSWELL PARK CANCER INSTITUTE CORP · PI GONIEWICZ, MACIEJ LUKASZ · 2014 to 2016
$1.7M
HSRD VA CRE 12-023NCI NIH HHS P30 CA016056NIDA NIH HHS R01 DA036493NIDA NIH HHS R01 DA037446NIEHS NIH HHS T32 ES018827
6 · The paper itself

Abstract

objectivesTo determine if urinary biomarkers of effect and potential harm are elevated in electronic cigarette users compared with non-smokers and if elevation correlates with increased concentrations of metals in urine. STUDY DESIGN AND

settingThis was a cross-sectional study of biomarkers of exposure, effect and potential harm in urine from non-smokers (n=20), electronic cigarette users (n=20) and cigarette smokers (n=13). Participant's screening and urine collection were performed at the Roswell Park Comprehensive Cancer Center, and biomarker analysis and metal analysis were performed at the University of California, Riverside.

resultsMetallothionein was significantly elevated in the electronic cigarette group (3761±3932 pg/mg) compared with the non-smokers (1129±1294 pg/mg, p=0.05). 8-OHdG (8-hydroxy-2'-deoxyguanosine) was significantly elevated in electronic cigarette users (442.8±300.7 ng/mg) versus non-smokers (221.6±157.8 ng/mg, p=0.01). 8-Isoprostane showed a significant increase in electronic cigarette users (750.8±433 pg/mg) versus non-smokers (411.2±287.4 pg/mg, p=0.03). Linear regression analysis in the electronic cigarette group showed a significant correlation between cotinine and total metal concentration; total metal concentration and metallothionein; cotinine and oxidative DNA damage; and total metal concentration and oxidative DNA damage. Zinc was significantly elevated in the electronic cigarette users (584.5±826.6 µg/g) compared with non-smokers (413.6±233.7 µg/g, p=0.03). Linear regression analysis showed a significant correlation between urinary zinc concentration and 8-OHdG in the electronic cigarette users.

conclusionsThis study is the first to investigate biomarkers of potential harm and effect in electronic cigarette users and to show a linkage to metal exposure. The biomarker levels in electronic cigarette users were similar to (and not lower than) cigarette smokers. In electronic cigarette users, there was a link to elevated total metal exposure and oxidative DNA damage. Specifically, our results demonstrate that zinc concentration was correlated to oxidative DNA damage.

Indexed as

AdultAgedBiomarkersCase-Control StudiesCotinineCross-Sectional StudiesFemaleHumansInhalation ExposureLinear ModelsMaleMetalsMiddle AgedVapingYoung AdultBiomarkersCotinineMetalsbiomarkerscigaretteselectronic cigarettesmetalsnon-smokers

Identifiers

PMID32079607
PMCPMC7047495
OpenAlexW3006729072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.