Evidence map›Paper›PMID 39144677›Full record

ArticleTobacco induced diseases2024

Catecholamine levels with use of electronic and combustible cigarettes.

Remy Poudel, Shen Li, Haoyun Hong, Juan Zhao, Shweta Srivastava, Rose Marie Robertson, Jennifer L Hall, Sanjay Srivastava, Naomi M Hamburg, Aruni Bhatnagar and 1 more

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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

11 authors.

Remy PoudelAmerican Heart Association, Dallas, United States.
Shen LiAmerican Heart Association, Dallas, United States.
Haoyun HongAmerican Heart Association, Dallas, United States.
Juan ZhaoAmerican Heart Association, Dallas, United States.
Shweta SrivastavaDepartment of Medicine, Envirome Institute, University of Louisville, Louisville, United States.
Rose Marie RobertsonAmerican Heart Association, Dallas, United States.
Jennifer L HallAmerican Heart Association, Dallas, United States.
Sanjay SrivastavaDepartment of Medicine, Envirome Institute, University of Louisville, Louisville, United States.
Naomi M HamburgWhitaker Cardiovascular Institute, Chobanian & Avedisian School of Medicine, Boston University, Boston, United States.
Aruni BhatnagarDepartment of Medicine, Envirome Institute, University of Louisville, Louisville, United States.
Rachel J KeithDepartment of Medicine, Envirome Institute, University of Louisville, Louisville, United States.

Funding

Research Training and Education Core (Core D) P50HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2013 to 2017
$20.1M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
NHLBI NIH HHS P50 HL120163NHLBI NIH HHS U54 HL120163
6 · The paper itself

Abstract

introductionSmoking elevates catecholamines that increase the risk for cardiovascular disease. Sparse evidence exists about the effects of e-cigarettes and catecholamines. Higher levels of catecholamines could trigger the increased heart rate, blood pressure, and decreased vascular function reported with the use of e-cigarettes. We investigated the difference in urinary catecholamines and their metabolites before and after the use of an e-cigarette containing nicotine or cigarettes compared to no tobacco use.

methodsIn our observational cohort exposure study, healthy adults aged 21-45 years who were currently using e-cigarettes, cigarettes, or had never used tobacco, participated in an acute exposure visit using their most common tobacco product. Urine was collected before, 1, and 2 hours after a 3-second puff every 30 seconds for 10 minutes on an e-cigarette or straw or use of 1 cigarette. Urinary catecholamines and their metabolites were measured by ultra-high-performance liquid chromatography. Participants (n=323) were grouped by the product used at the visit. We compared levels of creatinine normalized log-transformed urinary catecholamines and their metabolites across groups using Dunn's test following a Kruskal-Wallis test in unadjusted and demographically adjusted models.

resultsPrior to use, individuals who used cigarettes (n=70) had lower urinary metabolites from epinephrine, serotonin, and norepinephrine. No differences were seen in those who used e-cigarettes (n=171) and those who did not use tobacco (n=82). In fully adjusted models, 1 h after the use of a combustible or e-cigarette, log-transformed urinary metabolites from norepinephrine (β=1.22; 95% CI: 0.39-2.05, p=0.004 and β=1.06; 95% CI: 0.39-1.74, p=0.002), dopamine (β=0.37; 95% CI: 0.24-0.5, p<0.001 and β=0.15; 95% CI: 0.05-0.26, p<0.001), and epinephrine (β=1.89; 95% CI: 0.51-3.27, p=0.008 and β=1.49; 95% CI: 0.38-2.61, p=0.009) were elevated. In fully adjusted models, combustible cigarette use was associated with elevated urinary norepinephrine (β=0.46; 95% CI: 0.13-0.81, p=0.007) and dopamine (β=0.19; 95% CI: 0.06-0.31, p=0.003) 1 h after use.

conclusionsWe found that the use of both e-cigarettes and cigarettes was associated with elevated urinary catecholamines or their metabolites. Catecholamines could be useful as a biomarker of harm for tobacco use and considered by tobacco regulatory scientists in future research.

Indexed as

biomarkercardiovascular riskcatecholamineelectronic cigarettes

Identifiers

PMID39144677
PMCPMC11320712

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Registered trials

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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.