Evidence map›Paper›PMID 38006773›Full record

ArticleEnvironment international2023

Waterpipe and cigarette epigenome analysis reveals markers implicated in addiction and smoking type inference.

Zainab Awada, Vincent Cahais, Cyrille Cuenin, Reem Akika, Anna Luiza Silva Almeida Vicente, Maha Makki, Hani Tamim, Zdenko Herceg, Nathalie Khoueiry Zgheib, Akram Ghantous

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. DNA methyltransferases expressions in mice tongue exposed to waterpipe smoke.Journal of applied oral science : revista FOB · 2026
    Article
  2. Article
  3. Review
  4. 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

10 authors at 5 institutions in 4 countries.

Zainab AwadaEpigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France.
Vincent CahaisEpigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France.
Cyrille CueninEpigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France.
Reem AkikaDepartment of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Anna Luiza Silva Almeida VicenteEpigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France; Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Maha MakkiClinical Research Institute, American University of Beirut Medical Center, Beirut, Lebanon.
Hani TamimClinical Research Institute, American University of Beirut Medical Center, Beirut, Lebanon; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Zdenko HercegEpigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France.
Nathalie Khoueiry ZgheibDepartment of Pharmacology and Toxicology, Faculty of Medicine, American University of Beirut, Beirut, Lebanon. Electronic address: nk16@aub.edu.lb.
Akram GhantousEpigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France. Electronic address: GhantousA@iarc.who.int.
Centre international de recherche sur le cancer · FRAmerican University of Beirut · LBAlfaisal University · SAAmerican University of Beirut Medical Center · LBHospital de Câncer de Barretos · BR

Funding

World Health Organization 001
6 · The paper itself

Abstract

Waterpipe smoking is frequent in the Middle East and Africa with emerging prevalence worldwide. The epigenome acts as a molecular sensor to exposures and a crucial driver in several diseases. With the widespread use of waterpipe smoking, it is timely to investigate its epigenomic markers and their role in addiction, as a central player in disease prevention and therapeutic strategies. DNA methylome-wide profiling was performed on an exposure-rich population from the Middle East, constituting of 216 blood samples split equally between never, cigarette-only and waterpipe-only smokers. Waterpipe smokers showed predominantly distinct epigenetic markers from cigarette smokers, even though both smoking forms are tobacco-based. Moreover, each smoking form could be accurately (∼90 %) inferred from the DNA methylome using machine learning. Top markers showed dose-response relationship with extent of smoking and were validated using independent technologies and additional samples (total N = 284). Smoking markers were enriched in regulatory regions and several biological pathways, primarily addiction. The epigenetically altered genes were not associated with genetic etiology of tobacco use, and the methylation levels of addiction genes, in particular, were more likely to reverse after smoking cessation. In contrast, other epigenetic markers continued to feature smoking exposure after cessation, which may explain long-term health effects observed in former smokers. This study reports, for the first time, blood epigenome-wide markers of waterpipe smokers and reveals new markers of cigarette smoking, with implications in mechanisms of addiction and the capacity to discriminate between different smoking types. These markers may offer actionable targets to reverse the epigenetic memory of addiction and can guide future prevention strategies for tobacco smoking as the most preventable cause of illnesses worldwide.

Indexed as

Cigarette SmokingEpigenomeTobacco ProductsWater Pipe SmokingHumansMiddle EastAddictionBiomarkerCigaretteDNA methylationSmoking inferenceWaterpipe

Identifiers

PMID38006773
PMCPMC10716859
OpenAlexW4387746037

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.