Evidence map›Paper›PMID 30053132›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2019

Relationships of Long-Term Smoking and Moist Snuff Consumption With a DNA Methylation Age Relevant Smoking Index: An Analysis in Buccal Cells.

Jamaji C Nwanaji-Enwerem, Andres Cardenas, Peter R Chai, Marc G Weisskopf, Andrea A Baccarelli, Edward W Boyer

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2019. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

  1. The Impact of Childhood Mental Health and Substance Use on Methylation Aging Into Adulthood.Journal of the American Academy of Child and Adolescent Psychiatry · 2024
    Article
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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.

Jamaji C Nwanaji-EnweremDepartment of Environmental Health, Harvard T.H. Chan School of Public Health and MD-PhD Program, Harvard Medical School, Boston, MA.
Andres CardenasDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim HealthCare Institute, Boston, MA.
Peter R ChaiDivision of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Marc G WeisskopfDepartment of Environmental Health and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Andrea A BaccarelliDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY.
Edward W BoyerDivision of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

Funding

Training Program in Molecular and Integrative Physiological SciencesT32HL007118 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LU, QUAN · 1985 to 2025
$14.3M
Mentoring in Advanced mHealth Technologies and Machine Learning for HIV/Drug Abuse ResearchK24DA037109 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BOYER, EDWARD W · 2014 to 2025
$1.9M
Utilizing DNA Methylation Age to Understand The Effects of Fine Particles on CognitionF31AG056124 · NIA · HARVARD MEDICAL SCHOOL · PI NWANAJI-ENWEREM, JAMAJI · 2017 to 2018
$85k
NHLBI NIH HHS T32 HL007118NIA NIH HHS F31 AG056124NIDA NIH HHS K24 DA037109
6 · The paper itself

Abstract

introductionCurrently, there is no widely accepted, non-self-report measure that simultaneously reflects smoking behaviors and is molecularly informative of general disease processes. Recently, researchers developed a smoking index (SI) using nucleated blood cells and a multi-tissue DNA methylation-based predictor of chronological age and disease (DNA methylation age [DNAm-age]). To better understand the utility of this novel SI in readily accessible cell types, we used buccal cell DNA methylation to examine SI relationships with long-term tobacco smoking and moist snuff consumption.

methodsWe used a publicly available dataset composed of buccal cell DNA methylation values from 120 middle-aged men (40 long-term smokers, 40 moist snuff consumers, and 40 nonsmokers). DNAm-age (353-CpGs) and SI (66-CpGs) were calculated using CpG sites measured using the Illumina HumanMethylation450 BeadChip. We estimated associations of tobacco consumption habits with both SI and DNAm-age using linear regression models adjusted for chronological age, race, and methylation technical covariates.

resultsIn fully adjusted models with nonsmokers as the reference, smoking (β = 1.08, 95% CI = 0.82 to 1.33, p < .0001) but not snuff consumption (β = .06, 95% CI = -0.19 to 0.32, p = .63) was significantly associated with SI. SI was an excellent predictor of smoking versus nonsmoking (area under the curve = 0.92, 95% CI = 0.85 to 0.98). Four DNAm-age CpGs were differentially methylated between smokers and nonsmokers including cg14992253 [EIF3I], which has been previously shown to be differentially methylated with exposure to long-term fine-particle air pollution (PM2.5).

conclusionsThe 66-CpG SI appears to be a useful tool for measuring smoking-specific behaviors in buccal cells. Still, further research is needed to broadly confirm our findings and SI relationships with DNAm-age. IMPLICATIONS: Our findings demonstrate that this 66-CpG blood-derived SI can reflect long-term tobacco smoking, but not long-term snuff consumption, in buccal cells. This evidence will be useful as the field works to identify an accurate non-self-report smoking biomarker that can be measured in an easily accessible tissue. Future research efforts should focus on (1) optimizing the relationship of the SI with DNAm-age so that the metric can maximize its utility as a tool for understanding general disease processes, and (2) determining normal values for the SI CpGs so that the measure is not as study sample specific.

Indexed as

BiomarkersCohort StudiesDNA MethylationHumansMaleMiddle AgedMouth MucosaTobacco, SmokelessTobacco SmokingBiomarkers

Identifiers

PMID30053132
PMCPMC6941707

What OpenQuestion holds

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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.