Title: Cigarette smoke-induced differential gene expression in blood cells from monozygotic twin pairs
Authors: van Leeuwen, Danitsja M ×
van Agen, Ebienus
Gottschalk, Ralph W H
Vlietinck, Robert
Gielen, Marij
van Herwijnen, Marcel H M
Maas, Lou M
Kleinjans, Jos C S
van Delft, Joost H M #
Issue Date: Mar-2007
Publisher: IRL Press
Series Title: Carcinogenesis vol:28 issue:3 pages:691-697
Abstract: Chemical carcinogenesis induced by life style factors like cigarette smoking is a major research area in molecular epidemiology. Gene expression analysis of large numbers of genes simultaneously using microarrays holds the opportunity to study the effects of such an exposure at the genome level yielding more mechanism-based information. Therefore, the aim of our study was to investigate multiple gene expressions in blood, indicative for the effects caused by cigarette smoke. Smoking-discordant monozygotic twin pairs (n=9) were studied to diminish influences of genetic background. Using a dedicated microarray containing 600 toxicologically relevant genes, we investigated which genes are differentially expressed in smokers compared to non-smokers. We also looked for genes of which the expression changes correlated with DNA-adducts, a biomarker of effective dose for exposure to cigarette smoke carcinogens. The mean DNA adduct level in smokers differed significantly from that in non-smokers (mean +/- standard error 1.96 +/- 0.24 versus 1.17 +/- 0.16 adducts/10(8) nucleotides respectively; p=0.04). The genes of which the expression differed most significantly between smokers and non-smokers are ATF4, MAPK14, SOD2, CYP1B1 and SERPINB2. CYP1B1 and SOD2 can directly be linked to cigarette smoke exposure, whereas the other genes are associated with stress or environmentally induced response. Main functions of the genes influenced by cigarette smoking comprise carcinogen metabolism, oxidative stress response and anti-apoptosis.
ISSN: 0143-3334
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Clinical Genetics Section (-)
× corresponding author
# (joint) last author

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