![]() |
||||||||||||||
|
||||||||||||||
Ethnic differences in nicotine metabolic rate among
New Zealanders
Rod Lea, Neal Benowitz, Michael Green, Jeff Fowles, Anasuya
Vishvanath, Stuart Dickson, Marino Lea, Alistair Woodward, Geoffrey
Chambers, David Phillips
In New Zealand (NZ), the prevalence of cigarette smoking is
around 22% for the general population. However the smoking rates are markedly
higher for Maori (~46%) compared to Europeans (20%) and, for reasons that are
unclear, the rates for female Maori are among the highest in the world—52%
nationally and up to 60% in some regions.1 Extensive targeted campaigns for
smoking cessation in the 1990s has led to a reduction in tobacco consumption in
NZ, yet the high prevalence of smoking for Maori has not decreased.1
High rates of smoking are associated with elevated rates of
smoking-related diseases, and it has been estimated that smoking is responsible
for around 30% of Maori deaths compared to about 17% nationally.2 As these
statistics emphasise, identifying the determinants of the high smoking
prevalence in Maori and using this information to develop new targeted cessation
strategies is of major public health importance in NZ.
Whilst cultural and economic factors contribute to ethnic
differences, these do not explain all of the prevalence disparity between Maori
and Europeans. Data from the 2001 NZ Census show that ethnic differences for
smoking prevalence exist across all socioeconomic strata.3 Identifying the
underlying metabolic and/or genetic differences between groups with different
ancestral backgrounds may be important, since this knowledge could
provide new insights into the most
effective ways of reducing tobacco-related disease in Maori.
Nicotine is the primary, although not the sole, compound for
initiation and maintenance of sustained smoking behaviour.4 Smokers tend to
consume a regular number of cigarettes per day—presumably to maintain the
desired pharmacological effects of nicotine.5 The sustained daily levels of
nicotine ingested by smokers are partly determined by the rate at which nicotine
is metabolised in the liver.6 Variation in the rate of nicotine metabolism is
also thought to influence an individual’s initial risk of becoming a
smoker as well as their degree of dependence on tobacco.
Benowitz and colleagues have shown that nicotine metabolic
rate varies widely among individuals, and among the major ethnic/racial groups
in the United States (i.e. Asian, African, and Caucasians/Europeans).7,8 In
particular, these researchers showed that Chinese-American smokers exhibit (on
average) a 35% reduction in nicotine metabolic rate and take in less nicotine
per cigarette compared to European-American
smokers.7
Information on ethnic differences in nicotine metabolism may
have important implications for smoking cessation programs—as a slower
metabolic rate implies that lower optimal dosages of nicotine replacement
therapy (NRT) may be required for certain populations of Asian origin.7
After nicotine is absorbed through the lungs by cigarette
smoking it is primarily (~80%) metabolised to cotinine (COT) by the liver
enzyme—Cytochrome P-450 2A6 (CYP2A6).4 COT is subsequently metabolised by
CYP2A6 to
trans-3’-hydroxycotinine (3-HC).
The ratio of the 3-HC and COT concentration (3-HC:COT ratio) in saliva is highly
correlated with oral clearance of COT in smokers (r=0.9), which in turn reflects
intrinsic metabolic clearance of nicotine by the liver via the CYP2A6 enzyme.9
Therefore, a single 3-HC:COT ratio derived from a saliva
sample taken first thing in the morning can be considered a reliable index of
CYP2A6 activity and hence the rate of hepatic metabolism of nicotine.9 COT
concentration on its own is highly correlated with plasma cotinine (r=0.99) and
is a widely used biomarker for the dose of inhaled or ingested nicotine (i.e.
nicotine intake).5,10
Variation in CYP2A6 enzyme activity (i.e. nicotine metabolic
rate) is strongly influenced by genetics with a heritability of ~60% in
Caucasians.11 Several DNA sequence polymorphisms in the CYP2A6 gene have been
associated with nicotine metabolic rate, degree of tobacco dependence, and
susceptibility to smoking-related disease.12 Large variation in CYP2A6 allele
frequencies has been observed between ethnic groups worldwide.13 Thus, CYP2A6
gene variants are potentially useful biomarkers for ethnic differences in
nicotine metabolism and tobacco dependence.
Two variants of the CYP2A6 gene (CYP2A6*9 and *4 alleles),
which have been associated with slow nicotine metabolism, are far more prevalent
in Asian populations (Chinese, Japanese, Koreans) compared to Europeans.13
Specifically, individuals possessing 1 or 2 copies of CYP2A6 *9 or *4 exhibit
significantly reduced, or complete absence of, nicotine metabolism via the
CYP2A6 enzymatic pathway.13,14 Given the putative ancestral (genetic) links
between the NZ Maori population and South East Asia we suspected similar
frequencies might exist for these slow nicotine metabolising gene variants in
Maori.
The present study investigated:
Materials and MethodsParticipants—(a)
We estimated the population prevalence of two functionally important CYP2A6 gene
variants known to be common in Asians. This was achieved by screening a
pre-existing bank of Maori DNA samples (n=44), which was considered to be fairly
representative of the general Maori population in terms of age, sex.15 For this
sample, the term “Maori” was defined by (i) self-report using the
2001 census definition for ethnicity and (2) an ancestral definition—i.e.
having four Maori grandparents. Smoking status of these participants was not
determined. Renewed ethics approval for this aspect of the research was granted
by the Wellington Ethics Committee in
2004.
(b) We also recruited 12 female smokers from the
Hawke’s Bay region. Six participants were classified as
“Maori” defined as described above. Because of the heritable
(genetic) nature of nicotine metabolic rate, it was important to control for
genetic admixture as much as possible. The Iwi (tribes) represented in the Maori
group included Ngati Rakaipaaka, Ngati Kahungunu, Nga Puhi, Tainui, and Tuhoe.
A comparison group of six European female smokers with
no reported Maori ancestry were also recruited from the Hawke’s Bay region
and were matched to the Maori group for age. All participants were fully
informed about the nature of the research and were required to sign a consent
form before commencement. Ethics approval for the study was obtained from the
Hawke’s Bay Ethics Committee. All participants were above 18 years of
age.
Questionnaire—A
questionnaire, designed to fit the NZ context, was used to obtain the relevant
smoking information from the participants. The measures included in the
questionnaire were cigarette consumption (i.e. number of cigarettes smoked per
day), brand, strength and type of cigarettes/tobacco smoked as well as the time
to first cigarette and Fagerstrom Test for Nicotine Dependence (FTND). (The FTND
scale is commonly used to assess levels of nicotine addiction whereby a value of
0 represents low dependence and 10 is very highly dependent).16.
Genotyping of CYP2A6
variants—Participants provided buccal cell swabs for DNA analysis.
The DNA was extracted and purified using commercially available BuccalAmp™
DNA Extraction Kits (Epicentre). We obtained good DNA yield and quality using
this non-invasive sampling method.
The CYP2A6*9 single nucleotide polymorphism (SNP) was
genotyped using an allele-specific PCR technique. The primers for this assay,
2A6*9S and 2A6*9AS, have been previously described by Yoshida et al14 and
correspond to nucleotide positions -395 to -376 and -48 to -28 on the CYP2A6
gene (Accession number AC008537) respectively.
The PCR mixture consisted of approximately 50ng of
genomic DNA, 1 x PCR Buffer [67-mmol/L Tris–hydrochloric acid (pH 8.8),
16.6-mmol/L ammonium sulfate, 0.45% Triton X-100, 0.2 mg/mL gelatine and
1.5mmol/L MgCl2],
0.25-mmol/L deoxyribonucleoside triphosphate (dNTP), 0.4 μmol/L of each
primer and 1U of Taq DNA
polymerase in a final reaction
volume of 25 μL.
Thermal cycling and agarose gel electrophoresis were
performed as stated by Yoshida et al.14 Genotyping of the CYP2A6*4 variant was
conducted using the exact primers and protocols as published in the paper by
Nakajima et al.17
Measurement of
nicotine intake and metabolism—We utilised a non-invasive method to
assess nicotine intake and metabolic rate in New Zealand smokers. Participants
were asked to provide approximately 1–2 ml of oral fluid (saliva) in a
sterile, airtight plastic collection tube upon waking in the morning and
before consuming a cigarette, coffee,
or food.
Samples were kept at 4oC in the participant’s
home until collection. We have found that the concentration of COT and 3-HC in
saliva samples does not change significantly even when stored at room
temperature for 7 days (coefficient of variation < 5%) (unpublished data).
The 3-HC:COT ratio determined from saliva was used as an index for nicotine
metabolic rate as described by Dempsey et al.9
For smokers with fairly constant smoking habits,
cotinine levels vary only by about 15% over the course of the day. COT has an
in vivo half-life of approximately 24
hours. Thus, measurements of salivary COT taken upon waking in the morning were
considered an indication of the previous days total ingested nicotine
(intake).
Metabolite analyses of the saliva samples were
performed at ESR’s accredited analytical chemistry laboratory using
LC-MSMS instrumentation.
Statistical
analyses—The primary test variables included in the statistical
analysis were CYP2A6 genotypes, salivary COT concentration, 3-HC:COT ratio,
number of cigarettes smoked per day, COT/cigarette, and FTND score. Gene
frequencies between general population groups were compared statistically using
chi-squared analysis.
To compare means between smoking groups, independent
samples T tests were performed. Where appropriate the significance of the T Test
was confirmed using an analogous non-parametric test (i.e. Mann-Whitney U). This
overcomes problems associated with asymmetrically distributed data.
Fisher’s Exact Test was used to compare gene frequencies between smoking
groups. A p value of ≤0.05 was
considered statistically significant. Statistical analyses were performed using
SPSS version 12 software.
Results(a) Estimating prevalence of slow nicotine metabolising alleles in the general Maori populationTo estimate the general population frequencies for CYP2A6*9
and *4 alleles, we generated genotype data for a group of Maori with no European
grandparents. Figure 1 shows the allele frequencies
for these Maori as well as other ethnic groups from around the World (data
previously published13,14). The CYP2A6*9 allele ranged in frequency from around
8% in Caucasians to 15–22% in Asian groups. The variant was found to be
prevalent in the Maori sample (about 20%) and was >2 times more common
compared to Caucasians (p<0.001).
The CYP2A6*4 allele on average is less prevalent than
CYP2A6*9 but also tended to be more frequent in Asian subgroups compared to
non-Asian groups. In our Maori sample we observed a frequency of around 9% for
the CYP2A6*4, which is >4 times higher than in Caucasians (p<0.001).
(b) Estimating nicotine intake and metabolic rate in smokersTo examine the hypothesis that differences exist for
nicotine intake and metabolic rate between Maori and European smokers, we
employed a non-invasive method to test smokers for both metabolic and genetic
variants of CYP2A6 activity.
Descriptive analyses of the questionnaire data showed that
there was variation in the strength, brand, and type of cigarettes/tobacco
smoked among the participants. Of the 6 Maori smokers, 5 reported that they
smoked Port Royal brand cigarettes
whilst 1 Maori participant smoked
Horizon brand. Of the European group, 2
participants smoked Park Drive brand, 2
smoked Benson and Hedges brand, 1
smoked Holiday brand, and 1 smoked
Rothmans brand. Of the Maori smokers,
5/6 typically rolled their own cigarettes compared to only 1/6 of the European
smokers.
Comparative analyses of the primary test variables are shown
in Table 1. The Maori group had ~50% lower salivary COT compared to the European
group (p=0.03). According to cotinine levels normalised for number of cigarettes
smoked, the Maori smokers took in less nicotine per cigarette on average
compared to the European smokers (p=0.002).
The 3-HC:COT ratio (nicotine metabolic rate) was
significantly lower (~35%) in the Maori smokers compared to European smokers
(p=0.04). Both the Maori and European group smoked an equal number of cigarettes
per day on average (n=16). The FTND score was slightly higher on average in
Maori smokers but not significantly different from the European group. The
CYP2A6*9 allele was significantly over-represented in the female Maori smokers
compared to the European smokers (70% vs 30%, respectively). The CYP2A6*4 allele
was not observed in this group of smokers.
Table 1. Estimates of nicotine intake and metabolic
rate in female smokers
†Values
are means ± SE; *P values are 2-sided
and were determined by independent T test. P values ≤0.05 are
statistically significant. Where appropriate the significance was confirmed
using non-parametric Mann-Whitney U test. ♦FTND is Fagerstrom Test for
Nicotine Dependence;
ΩSlow metabolising
allele of the Cytochrome P450-2A6 gene.
DiscussionThe high smoking prevalence in Maori is one of the greatest
health concerns facing NZ. Characterising the nicotine metabolic profiles that
are unique to Maori may help (a) explain why young Maori people seem to be more
susceptible to establishing tobacco dependence and becoming long-term smokers;
and (b) inform targeted smoking cessation programs perhaps allowing more
tailored NRT to be prescribed for people with Maori ancestry.
We have conducted a study to assess nicotine metabolism in
New Zealand. Specifically, we determined frequencies of the CYP2A6 gene
slow-metabolising variants, *9 and *4, and showed both to be significantly more
prevalent in the general Maori population compared to Caucasians (see Figure 1).
To estimate levels of nicotine intake and metabolic rate, we also measured
nicotine metabolites in saliva from smokers belonging to the most at-risk
societal group in NZ—female Maori.
Comparison of ethnic (ancestral) groups indicated that the
Maori smokers had approximately 35% slower nicotine metabolic rate through the
CYP2A6 liver pathway compared to Europeans. The amount of nicotine ingested per
cigarette was also lower in the Maori group.
These findings suggesting that Maori metabolise nicotine
more slowly are consistent with cigarette consumption data showing that Maori
tend to smoke fewer cigarettes per day.1 Interestingly, these trends are similar
to those reported in Asian smokers, who have on average a 35% slower nicotine
metabolic rate and ingest less nicotine per cigarette and smoke fewer cigarettes
per day compared to Caucasians.7
We also demonstrated a marked difference in CYP2A6*9 allele
frequencies between the Maori and European smokers, which is consistent with the
significant differences in general population prevalence of this variant shown
in Figure 1. The genetic differences we have found support the argument that DNA
variants, which translate into functional metabolic changes, should be
considered when attempting to explain differences in smoking-related traits
among groups with different ancestral backgrounds.
It is important to address the limitations and future
directions of this work. Firstly, further analysis of a much larger sample of
smokers (including males and being representative of the general population) is
required to confirm the findings of the present study and to accurately estimate
the difference in metabolic rate among Maori and European.
Other NZ subgroups such as Pacific Islanders should also be
investigated. Larger studies will also allow statistical assessment of the
ethnic variation in brand and type of cigarettes smoked. In addition, future
research should include data from non-genetic modifiers of nicotine metabolic
rate (e.g. caffeine and alcohol consumption) to adjust for potential confounding
effects.
Nevertheless, our findings raise some interesting questions
about the role of nicotine metabolism in tobacco dependence in relation to
Maori. A recent prospective study of adolescent smokers has provided compelling
evidence that genetically slow metabolisers have an
increased risk of tobacco dependence.18
It was hypothesised in this report that slower nicotine inactivation may lead to
prolonged and/or higher brain exposure which might enhance the initial
neurophysiological processes that lead to dependence.18
Therefore, our data suggesting that female Maori smokers are
more likely to be genetically slower nicotine metabolisers might partially
explain why young Maori females are the most likely ethnic subgroup in NZ to
establish and maintain an addiction to tobacco smoking.19. If more rigorous
genetic research of Maori smokers supports this notion, then there may be a case
for designing future-targeted prevention campaigns to include information about
genetic/metabolic predispositions.
The results of our study might also help explain why Maori
find it more difficult to quit smoking using NRT. NRT is currently the main
pharmacological smoking cessation treatment in NZ and is largely subsidised by
the Government.
A recent evaluation of the NZ Quitline, a telephone
smoking-cessation counselling service, revealed that significantly fewer Maori
(10%) were able to quit smoking using NRT after 12 months compared to European
(14%) (P = 0.026).20
It is plausible that genetically reduced nicotine metabolic
rate may influence a group’s response to NRT and likelihood of quitting.
Specifically, slower metabolism may mean that nicotine replacement levels,
attained through patches and/or gum, are far greater than the personalised
levels attained through cigarette smoking causing people to relapse to smoking
due to the onset of adverse events (e.g. insomnia, nausea, and/or headache).
It is important to note, that being a slow metaboliser is
not unique to Maori people and a significant proportion of individuals with no
Maori ancestry are also slow nicotine metabolisers. Thus, the ultimate aim of
this line of research is to utilise genetic and metabolic information for
individualization of NRT. Whilst there
have been several studies aimed at customising NRT through questionnaire-based
methods, none so far have investigated the utility of measuring nicotine
metabolic rate as a predictor of smoking cessation.
Being able to accurately predict the rate of nicotine
metabolism based on CYP2A6 enzyme activity and/or genotype could facilitate
personalised dosing of NRT to ensure optimal nicotine levels are met and side
effects are avoided or reduced. In turn, this should improve effectiveness of
NRT for the individual and help increase the overall smoking quit rates. The
implementation of new targeted cessation strategies integrating knowledge from
genetics, clinical medicine, population health programmes, and tobacco
legislation looks to be our best strategy for driving down the smoking
prevalence in NZ and subsequently reducing the burden of smoking-related
disease.
Author information:
Rod A Lea, Genetic Epidemiologist;1,4 Neal Benowitz, Professor of
Medicine;2 Michael Green, Student;1,4 Jeff Fowles, Toxicologist;1 Anasuya
Vishvanath, Student;4 Stuart Dickson, Analytical Chemist;1 Marino G Lea, Maori
Researcher;1 Alistair Woodward, Professor of Public Health;3 Geoffrey K
Chambers, Molecular Geneticist;4 David Phillips, Public Health Physician;1
Acknowledgements:
This research was supported through funding by Institute of Environmental
Science and Research (ESR), The Wellington and Hawke's Bay Medical Research
Foundations, and The National Health and Medical Research Council of Australia.
Professor Neal Benowitz is supported by a US Public Health Service grant DA02277
from the National Institute on Drug Abuse. We also thank John Whaanga, Johnina
Symes, and Karen Bardell from Te Iwi o Rakaipaaka for advice and support on
Maori subject recruitment; and Rick Berezowski and Matthew Hoskings from
ESR for analytical chemistry testing.
Correspondence: Dr
Rod A Lea. Institute of Environmental Science and Research, 34 Kenepuru Drive,
Porirua. Fax: (04) 914 0770; email: Rod.Lea@esr.cri.nz
References:
|
||||||||||||||
| Current
issue | Search journal |
Archived issues | Classifieds
| Hotline (free ads) Subscribe | Contribute | Advertise | Contact Us | Copyright | Other Journals |