Evidence map›Paper›PMID 33588690›Full record

ArticleEpigenetics

DNA methylation differentiates smoking from vaping and non-combustible tobacco use.

Allan Andersen, Rachel Reimer, Kelsey Dawes, Ashley Becker, Natasha Hutchens, Shelly Miller, Meesha Dogan, Brandon Hundley, James A Mills, Jeffrey D Long and 1 more

Abstract read
In one paragraph

Article in Epigenetics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Epigenomic Dysregulation in Youth Vapers: Implications for Disease Risk Assessment.American journal of respiratory cell and molecular biology · 2025
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. DNA Hydroxymethylation in Smoking-Associated Cancers.International journal of molecular sciences · 2022
    Review
  15. Review
  16. Article
  17. 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

11 authors.

Allan AndersenDepartment of Psychiatry, University of Iowa, Iowa City, USA.ORCID 0000-0001-7006-7639
Rachel ReimerCollege of Public Health, Des Moines University, Des Moines, USA.
Kelsey DawesDepartment of Psychiatry, University of Iowa, Iowa City, USA.
Ashley BeckerDepartment of Psychiatry, University of Iowa, Iowa City, USA.
Natasha HutchensDepartment of Psychiatry, University of Iowa, Iowa City, USA.
Shelly MillerBehavioral Diagnostics LLC, Coralville, USA.
Meesha DoganDepartment of Psychiatry, University of Iowa, Iowa City, USA.
Brandon HundleyDepartment of Psychiatry, University of Iowa, Iowa City, USA.
James A MillsDepartment of Psychiatry, University of Iowa, Iowa City, USA.
Jeffrey D LongDepartment of Psychiatry, University of Iowa, Iowa City, USA.
Robert PhilibertDepartment of Psychiatry, University of Iowa, Iowa City, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing use of non-combusted forms of nicotine such as e-cigarettes poses important public health questions regarding their specific risks relative to combusted tobacco products such as cigarettes. To fully delineate these risks, improved biomarkers that can distinguish between these forms of nicotine use are needed. Prior work has suggested that methylation status at cg05575921 may serve as a specific biomarker of combusted tobacco smoke exposure. We hypothesized combining this epigenetic biomarker with conventional metabolite assays could classify the type of nicotine product consumption. Therefore, we determined DNA methylation and serum cotinine values in samples from 112 smokers, 35 e-cigarette users, 19 smokeless tobacco users, and 269 controls, and performed mass spectroscopy analyses of urine samples from all nicotine users and 22 verified controls to determine urinary levels of putatively nicotine product-specific substances; propylene glycol, 2-cyanoethylmercapturic acid (CEMA), and anabasine. 1) Cigarette smoking was associated with a dose dependent demethylation of cg05575921 and increased urinary CEMA and anabasine levels, 2) e-cigarette use did not demethylate cg05575921, 3) smokeless tobacco use also did not demethylate cg05575921 but was positively associated with anabasine levels 4) CEMA and cg05575921 levels were highly correlated and 5) propylene glycol levels did not reliably distinguish use groups. Cg05575921 assessments distinguish exposure to tobacco smoke from smokeless sources of nicotine including e-cigarettes and smokeless tobacco, neither of which are associated with cg05575921 demethylation. A combination of methylomic and metabolite profiling may allow for accurate classification use status of a variety of nicotine containing products.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingDNA MethylationNicotineNicotine2-cyanoethylmercapturic acidAHRRanabasinecg05575921DNA methylationpropylene glycolsmokingvaping

Identifiers

PMID33588690
PMCPMC8865289

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.