2016
DOI: 10.1371/journal.pone.0166486
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Distinct Epigenetic Effects of Tobacco Smoking in Whole Blood and among Leukocyte Subtypes

Abstract: Tobacco smoke exposure dramatically alters DNA methylation in blood cells and may mediate smoking-associated complex diseases through effects on immune cell function. However, knowledge of smoking effects in specific leukocyte subtypes is limited. To better characterize smoking–associated methylation changes in whole blood and leukocyte subtypes, we used Illumina 450K arrays and Reduced Representation Bisulfite Sequencing (RRBS) to assess genome-wide DNA methylation. Differential methylation analysis in whole … Show more

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Cited by 106 publications
(132 citation statements)
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“…In addition to DNA damage, smoking alters the epigenome and transcriptome of human blood leukocytes Su et al, 2016;Wan et al, 2018). In Su et al (2016), we demonstrated that many changes identified in isolated cell fractions, which correspond to major immune populations, were distinct from each other and whole blood. For example, ITGAL, which is expressed in T cells and involved in inflammation , had significantly decreased methylation in smokers' T cells but not in whole blood or isolated cell fractions.…”
Section: Introductionmentioning
confidence: 83%
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“…In addition to DNA damage, smoking alters the epigenome and transcriptome of human blood leukocytes Su et al, 2016;Wan et al, 2018). In Su et al (2016), we demonstrated that many changes identified in isolated cell fractions, which correspond to major immune populations, were distinct from each other and whole blood. For example, ITGAL, which is expressed in T cells and involved in inflammation , had significantly decreased methylation in smokers' T cells but not in whole blood or isolated cell fractions.…”
Section: Introductionmentioning
confidence: 83%
“…Several genes found to be altered by at least two methods include LGALS1, ADAM8, and CLDND1, which were significantly increased in bulk RNAseq and scRNAseq data; GPR15, which was increased in the bulk RNAseq and microarray data; and NDFIP1, which was significantly decreased in the bulk RNAseq and scRNAseq data ( Figures 5A, 5B, 5D, and S5B -S5E). ITGAL, a smoking methylation biomarker (Su et al, 2016), was only found to be significantly increased by scRNAseq (logFC = 0.25, q = 1.7 x 10 -26 ), and was also elevated in NK-like subset (smokers: logFC = 0.45, q = 6.53 x 10 -29 ; nonsmokers: logFC = 0.54, q = 1.50 x 10 -20 ).…”
Section: Cd8 T Bulk Transcriptomes Reflect Differentiation-state Shifmentioning
confidence: 98%
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“…Based on our findings, there was no relation between the COMT methylation levels and smoking in schizophrenia patients. This may be due to the lack of information obtained from the patients regarding whether or not they were chronic smokers; a previous study showed that long‐term, heavy smokers produce epigenetic effects not seen in light smokers …”
Section: Discussionmentioning
confidence: 99%
“…Longitudinal and Mendelian randomization analysis suggests that increased HIF3A DNA methylation is a consequence of increasing adiposity [27], maybe mediated by cell fate changes, although the association survives adjustment for gross cell changes and methylation levels predict Type 2 diabetes risk [28]. Also, the example of DNA methylation associating with smoking discussed above has also been shown to be at least partially mediated by cell fate changes caused by smoking, leading to differential cellular heterogeneity within the blood samples of smokers and non-smokers [29].…”
Section: Disease Is Also Often Associated With Cellular MIXmentioning
confidence: 99%