Evidence map›Paper›PMID 32259604›Full record

ArticleLife sciences2020

Comparison of the cardiac effects of electronic cigarette aerosol exposure with waterpipe and combustible cigarette smoke exposure in rats.

Fadia Mayyas, Hala Aldawod, Karem H Alzoubi, Omar Khabour, Alan Shihadeh, Thomas Eissenberg

Open access · greenAbstract readComparative Study
In one paragraph

Article in Life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
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  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Electronic Cigarette Use and the Risk of Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2022
    Review
  16. Article
  17. E-Cigarette Use, Systemic Inflammation, and Depression.International journal of environmental research and public health · 2021
    Article
  18. Nicotine and vascular dysfunction.Acta physiologica (Oxford, England) · 2021
    Review
  19. Review
  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

6 authors at 3 institutions in 3 countries.

Fadia MayyasDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan. Electronic address: famayyas@just.edu.jo.
Hala AldawodDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Karem H AlzoubiDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
Omar KhabourDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Alan ShihadehMechanical Engineering Department, American University of Beirut, Beirut 1107 2020, Lebanon; Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, USA.
Thomas EissenbergDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA; Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, USA.
Jordan University of Science and Technology · JOAmerican University of Beirut · LBVirginia Commonwealth University · US

Funding

Project 4: Using a prospective cohort survey to test population-level predictions generated by Projects 1-3U54DA036105 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BRELAND, ALISON, EISSENBERG, THOMAS EVAN · 2018 to 2022
$20.8M
NIDA NIH HHS U54 DA036105
6 · The paper itself

Abstract

aimsElectronic cigarette (ECIG) has been used as an alternative to tobacco smoking as it lacks the majority of toxicants found in tobacco smoke. However, the effect of ECIG aerosol inhalation on cardiac health are not well studied. The present study aimed to compare the effects of ECIGs with that of combustible tobacco cigarette (T-Cigs) and waterpipe (WP) smoke on cardiac biomarkers of oxidative stress, inflammation, and fibrosis. MAIN

methodsRats were randomized into control (fresh air, n = 12), ECIG aerosol (n = 12), T-Cig smoke (n = 15), or WP (n = 13) smoke conditions in which they were exposed 1 h/daily, 6 day/week for 4 weeks. Cardiac biomarkers of oxidative stress, inflammation, and remodeling were assessed. KEY

findingsRelative to control, significant increase in heart to body weight ratio was observed in all exposed groups. Cardiac endothelin-1 and myeloperoxidase were increased for ECIG and T-Cig. Cardiac nitrite and TBARS were increased in all exposed groups, but activity of superoxide dismutase was increased for ECIG and T-Cig only while glutathione levels increased for ECIG only. No changes were observed for cardiac C-reactive protein and catalase activity. Cardiac fibrosis was observed in all exposed groups coupled with an increase in the transforming growth factor beta protein that was significant for ECIG only. SIGNIFICANCE: ECIG aerosol may promote cardiac alterations in similar manner to tobacco smoke by promoting myocardial oxidative stress and inflammation leading to fibrosis. With regard to cardiac health, exposure to ECIG aerosol and combustible T-Cig smoke may lead to similar adverse outcomes.

Indexed as

Electronic Nicotine Delivery SystemsAerosolsAnimalsCigarette SmokingFibrosisInflammationMaleMyocardiumOxidative StressRandom AllocationRatsRats, WistarSmokeTobacco Smoke PollutionVapingWater Pipe SmokingAerosolsSmokeTobacco Smoke PollutionCigarette tobacco smokingElectronic cigaretteFibrosisInflammationOxidative stressWaterpipe tobacco smoking

Identifiers

PMID32259604
PMCPMC9273051
OpenAlexW3014587868

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.