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Association between Glucuronidation Genotypes and Urinary NNAL Metabolic Phenotypes in Smokers

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, June 2016
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Article details
Title
Association between Glucuronidation Genotypes and Urinary NNAL Metabolic Phenotypes in Smokers
Published in
Cancer Epidemiology, Biomarkers & Prevention, June 2016
DOI 10.1158/1055-9965.epi-15-1245
Pubmed ID
Authors
Abstract

The most abundant and potent carcinogenic tobacco-specific nitrosamines in tobacco and tobacco smoke is 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). In vivo, NNK is rapidly metabolized to both the (R)- and (S)- enantiomers of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), which possesses similar carcinogenic properties as NNK. The major detoxification pathway for both NNAL enantiomers is glucuronidation by UDP-glucuronosyltransferase (UGT) enzymes including UGT2B10 and UGT2B17. NNAL-N-Gluc, (R)-NNAL-O-Gluc, (S)-NNAL-O-Gluc and free NNAL were simultaneously and directly quantified in the urine of smokers by LC-MS analysis. Genotypes were determined by Taqman-assay using genomic DNA. The average percentage of total urinary NNAL that existed as NNAL-N-Gluc, (R)-NNAL-O-Gluc, (S)-NNAL-O-Gluc, and free-NNAL in 180 active smokers was 23.2%, 21.7%, 26.9% and 28.2%, respectively. The functional knock-out polymorphism in the UGT2B10 gene at codon 67 (Asp>Tyr) was significantly (P<0.0001) associated with a 93% decrease in creatinine-adjusted NNAL-N-Gluc. The polymorphic whole-gene deletion of the UGT2B17 gene was associated with significant (P=0.0048) decreases in the levels of creatinine-adjusted (R)-NNAL-O-Gluc, with a 32% decrease in the levels of urinary (R)-NNAL-O-Gluc/(S)-NNAL-O-Gluc among subjects with the UGT2B17 (*2/*2) genotype as compared to subjects with the UGT2B17 (*1/*1) genotype. These results suggest that functional polymorphisms in UGT2B10 and UGT2B17 are associated with a reduced detoxification capacity against NNAL and may therefore affect individual cancer risk upon exposure to tobacco. This is the first report to clearly demonstrate strong genotype-phenotype associations between both the UGT2B10 codon 67 Asp<Tyr genotype and urinary NNAL-N-Gluc levels and between the UGT2B17 copy number variant and urinary (R)-NNAL-O-Gluc levels in smokers.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 14%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Lecturer > Senior Lecturer 2 7%
Other 2 7%
Other 3 10%
Unknown 12 41%
Readers by discipline
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 6 21%
Environmental Science 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Agricultural and Biological Sciences 2 7%
Chemistry 2 7%
Other 2 7%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 September 2021.
All research outputs
#12,345,312
of 34,364,397 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#2,958
of 5,718 outputs
Outputs of similar age
#132,978
of 340,913 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#29
of 41 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.