Evidence map›Paper›PMID 32518820›Full record

ArticleScience advances2020

Adverse effects of electronic cigarettes on the disease-naive oral microbiome.

Sukirth M Ganesan, Shareef M Dabdoub, Haikady N Nagaraja, Michelle L Scott, Surya Pamulapati, Micah L Berman, Peter G Shields, Mary Ellen Wewers, Purnima S Kumar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 8 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

66 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. The association between self-reported vaping and the human oral microbiome: a systematic review.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Pooled it
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  9. Article
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  15. Vaping-related lung disease: a narrative review.Journal of thoracic disease · 2026
    Review
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6 more citing papers are in PubMed but not listed here.

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.

Sukirth M GanesanDivision of Periodontology, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-6303-7287
Shareef M DabdoubDivision of Periodontology, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-1374-8347
Haikady N NagarajaCollege of Public Health, The Ohio State University, Columbus, OH, USA.
Michelle L ScottDivision of Periodontology, The Ohio State University, Columbus, OH, USA.ORCID 0000-0003-0925-5942
Surya PamulapatiCollege of Public Health, The Ohio State University, Columbus, OH, USA.
Micah L BermanMoritz College of Law, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-0336-1317
Peter G ShieldsWexner Medical Center, The Ohio State University, Columbus, OH, USA.
Mary Ellen WewersCollege of Public Health, The Ohio State University, Columbus, OH, USA.
Purnima S KumarDivision of Periodontology, The Ohio State University, Columbus, OH, USA.ORCID 0000-0001-5844-1341

Funding

E-cigarettes and perturbations in the subgingival ecosystemR01DE027857 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KUMAR, PURNIMA · 2018 to 2022
$3.2M
NIDCR NIH HHS R01 DE027857
6 · The paper itself

Abstract

Six percent of Americans, including 3 million high schoolers, use e-cigarettes, which contain potentially toxic substances, volatile organic compounds, and metals. We present the first human study on the effects of e-cigarette exposure in the oral cavity. By interrogating both immunoinflammatory responses and microbial functional dynamics, we discovered pathogen overrepresentation, higher virulence signatures, and a brisk proinflammatory signal in clinically healthy e-cigarette users, equivalent to patients with severe periodontitis. Using RNA sequencing and confocal and electron microscopy to validate these findings, we demonstrate that the carbon-rich glycol/glycerol vehicle is an important catalyst in transforming biofilm architecture within 24 hours of exposure. Last, a machine-learning classifier trained on the metagenomic signatures of e-cigarettes identified as e-cigarette users both those individuals who used e-cigarettes to quit smoking, and those who use both e-cigarettes and cigarettes. The present study questions the safety of e-cigarettes and the harm reduction narrative promoted by advertising campaigns.

Indexed as

Electronic Nicotine Delivery SystemsMicrobiotaTobacco ProductsVolatile Organic CompoundsHumansSmokingUnited StatesVolatile Organic Compounds

Identifiers

PMID32518820
PMCPMC7253170

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.