Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jan 30;11(2):149.
doi: 10.3390/genes11020149.

Cigarette and Cannabis Smoking Effects on GPR15+ Helper T Cell Levels in Peripheral Blood: Relationships with Epigenetic Biomarkers

Affiliations

Cigarette and Cannabis Smoking Effects on GPR15+ Helper T Cell Levels in Peripheral Blood: Relationships with Epigenetic Biomarkers

Allan M Andersen et al. Genes (Basel). .

Abstract

Background: Smoking causes widespread epigenetic changes that have been linked with an increased risk of smoking-associated diseases and elevated mortality. Of particular interest are changes in the level of T cells expressing G-protein-coupled receptor 15 (GPR15), a chemokine receptor linked with multiple autoimmune diseases, including inflammatory bowel disease, multiple sclerosis and psoriasis. Accordingly, a better understanding of the mechanisms by which smoking influences variation in the GPR15+ helper T cell subpopulation is of potential interest. Methods: In the current study, we used flow cytometry and digital PCR assays to measure the GPR15+CD3+CD4+ populations in peripheral blood from a cohort of n = 62 primarily African American young adults (aged 27-35 years) with a high rate of tobacco and cannabis use. Results: We demonstrated that self-reported tobacco and cannabis smoking predict GPR15+CD3+CD4+ helper T cell levels using linear regression models. Further, we demonstrated that methylation of two candidate CpGs, cg19859270, located in GPR15, and cg05575921, located in the gene Aryl Hydrocarbon Receptor Repressor (AHRR), were both significant predictors of GPR15+CD3+CD4+ cell levels, mediating the relationship between smoking habits and increases in GPR15+CD3+CD4+ cells. As hypothesized, the interaction between cg05575921 and cg19859270 was also significant, indicating that low cg05575921 methylation was more strongly predictive of GPR15+CD3+CD4+ cell levels for those who also had lower cg19859270 methylation. Conclusions: Smoking leads changes in two CpGs, cg05575921 and cg19859270, that mediate 38.5% of the relationship between tobacco and cannabis smoking and increased GPR15+ Th levels in this sample. The impact of cg19859270 in amplifying the association between cg05575921 and increased GPR15+ Th levels is of potential theoretical interest given the possibility that it reflects a permissive interaction between different parts of the adaptive immune system.

Keywords: biomarkers; cannabis; digital PCR; epigenetics; smoking; tobacco.

PubMed Disclaimer

Conflict of interest statement

The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. The use of DNA methylation to assess smoking status is covered by US patent 8,637,652 and other pending claims. Dr. Philibert is a potential royalty recipient on those intellectual right claims. Dr. Philibert is also an officer and stockholder of Behavioral Diagnostics. (www.bdmethylation.com).

Figures

Figure 1
Figure 1
Correlations between study variables analyzed. BMI refers to body mass index. Perceived Stress Scale refers to the Perceived Stress Scale total score. PHQ-9 refers to the Patient Health Questionnaire depression module total score. Nonsteroidal anti-inflammatory drug (NSAID) daily dose refers to 200 mg equivalent doses of ibuprofen, naproxen, and aspirin. Smoke exposure indicates tobacco and/or cannabis smoking. Serum cotinine positive indicates serum values of > 1 ng/mL, while serum tetrahydrocannabinol (THC) positive indicates > 0.5 ng/mL. GPR15+ proportion refers to the proportion of CD3+CD4+ PBMCs. Significance codes: * p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001.
Figure 2
Figure 2
Boxplots of cg05575921 (A) and cg19859270 (B) methylation stratified by self-reported smoking status (tobacco and/or cannabis) and serum positivity (cotinine > 1 ng/mL and/or tetrahydrocannabinol (THC) > 0.5 ng/mL). Significance codes: * p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001 (Tukey’s Honest Significant Difference).
Figure 3
Figure 3
GPR15+ Th cell flow cytometry gating strategy and results stratified by smoking status and serum positivity. Panel (A) depicts the flow cytometry gating strategy used to visualize GPR15+ Th cell percent within the CD3+CD4+ population of peripheral lymphocytes. Histograms at bottom depict GPR15+ Th cell percent data from two subjects, one a “non-smoker”, negative for both self-reported smoking and serum cotinine and tetrahydrocannabinol (THC) , and the other a “smoker”, positive for self-reported smoking and both cotinine and THC. The leftmost histogram depicts the results from the same “non-smoker” using the mouse IgG2a kappa isotype as a negative control. Panel (B) depicts boxplots of Th cell percent for subjects stratified by self-reported smoking status (tobacco and/or cannabis) and serum positivity (cotinine > 1 ng/mL and/or THC > 0.5 ng/mL). Significance codes: * p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001 (Tukey’s Honest Significant Difference).
Figure 4
Figure 4
Interaction of cg05575921 and cg19859270 methylation in predicting GPR15+ Th cell percent. The interaction is visualized by plotting regression lines for cg05575921 while holding the value of cg19859270 at 1 SD above and below its mean. Regression coefficient values are taken from Model 2D, Table S3. The ribbons indicate the model-based 95% confidence intervals for each regression line.

Similar articles

Cited by

References

    1. DHHS . The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General. National Center for Chronic Disease Prevention and Health Promotion Office on Smoking and Health; Atlanta, GA, USA: 2014. [(accessed on 27 January 2020)]. Available online: https://aahb.org/Resources/Pictures/Meetings/2014-Charleston/PPT%20Prese....
    1. Jamal A., Phillips E., Gentzke A.S., Homa D.M., Babb S.D., King B.A., Linda J.N. Current cigarette smoking among adults—United States, 2016. Morb. Mortal. Wkly. Rep. 2018;67:53–59. doi: 10.15585/mmwr.mm6702a1. - DOI - PMC - PubMed
    1. Fantini D., Seiler R., Meeks J.J. Urologic Oncology: Seminars and Original Investigations. Elsevier; Amsterdam, The Netherlands: 2018. Molecular footprints of muscle-invasive bladder cancer in smoking and nonsmoking patients; pp. 818–825. - PubMed
    1. Mokdad A.H., Marks J.S., Stroup D.F., Gerberding J.L. Actual causes of death in the United States, 2000. Jama. 2004;291:1238–1245. doi: 10.1001/jama.291.10.1238. - DOI - PubMed
    1. Ng S.C., Bernstein C.N., Vatn M.H., Lakatos P.L., Loftus E.V., Tysk C., O’Morain C., Moum B., Colombel J.F. Geographical variability and environmental risk factors in inflammatory bowel disease. Gut. 2013;62:630–649. doi: 10.1136/gutjnl-2012-303661. - DOI - PubMed

Publication types