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Department of Epidemiology and Department of Otolaryngology, Yale University School of Medicine, New Haven, CT, 06520 and the * Department of Otolaryngology and Department of Psychiatry and Behavioral Science, University of Miami, Miami, FL, 33136.
3To whom correspondence and reprint requests should be addressed.
| ABSTRACT |
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KEY WORDS: lycopene humans plasma determinants carotenoids
| INTRODUCTION |
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-carotene, ß-carotene, and lycopene, compared to their matched
controls. In multivariate models containing all of the carotenoids,
only adipose tissue lycopene remained significantly associated with a
lower risk of myocardial infarction (odds ratio = 0.52, 95% CI
0.330.82, comparing the 90th to the 10th percentile). As another
example, Giovannucci et al. (1995)
Whereas much is known about the determinants of the carotenoid
ß-carotene in human plasma, far less is known about the determinants
of plasma lycopene. The limited data that do exist suggest that
determinants of blood lycopene levels differ from those of blood
ß-carotene levels. For example, numerous studies have found that
smokers have significantly lower blood levels of ß-carotene than
nonsmokers (Brady et al. 1996
, Fukao et al. 1996
, Margetts and Jackson 1996
, Pamuk et al. 1994
, Stryker et al. 1988
); this does not
seem to be the case for lycopene (Brady et al. 1996
,
Peng et al. 1995
, Ross et al. 1995
,
Tsubono et al. 1996
). Also, consumption of alcoholic
beverages was inversely associated with blood concentrations of
ß-carotene (Brady et al. 1996
, Fukao et al. 1996
, Stryker et al. 1988
); an inverse
association with alcohol was observed in some studies of
lycopene (Buiatti et al. 1996
, Forman et al., 1995
), but not others (Ascherio et al. 1992
,
Brady et al. 1996
, Tsubono et al. 1996
).
Women generally have higher concentrations of many carotenoids,
including
- and ß-carotene (National Center for Health Statistics 1996
), but this relationship was also not observed consistently with
lycopene (Ascherio et al. 1992
, Brady et al. 1996
, Michaud et al. 1998
). Several studies
suggest that lycopene levels are inversely associated with age
(Ascherio et al. 1992
, Brady et al. 1996
,
Campbell et al. 1994
, Michaud et al. 1998
, Peng et al. 1995
, Vogel et al. 1997
), and positively associated with plasma cholesterol
(Ascherio et al. 1992
, Brady et al. 1996
,
Campbell et al. 1994
, Michaud et al. 1998
, Vogel et al. 1997
).
The observation that smokers tend to have lower ß-carotene levels but not lower lycopene levels than nonsmokers may reflect a specific effect of smoking on ß-carotene, may be a consequence of dietary patterns of smokers and nonsmokers with regard to ß-carotene versus lycopene, or may reflect both factors. Therefore, studies of determinants of plasma lycopene levels must also consider dietary intake of lycopene. The purpose of this study was to perform a cross-sectional evaluation of a large number of potentially important determinants of blood lycopene levels, including age, gender, smoking, drinking, dietary intake, plasma cholesterol, body mass index, race/ethnicity, seasonality, and marital status, in participants in a cancer prevention intervention trial.
| SUBJECTS AND METHODS |
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The study population for this cross-sectional analysis included participants who were part of a randomized, double-blind, placebo-controlled trial. The goal of the trial was to determine whether supplemental ß-carotene reduces the incidence of second primary tumors and local recurrences in patients curatively treated for early stage cancers of the oral cavity, pharynx, or larynx. Patients were recruited from two recruitment sites, one based at Yale University and recruiting from the entire state of Connecticut, and the second based at the University of Miami and recruiting from south Florida.
Participants in the clinical trial were recruited from 35 hospitals in Connecticut and from 14 hospitals in south Florida. Institutional Review Board approval was obtained from all hospitals from which patients were recruited (49 total hospitals). To be eligible, patients had to have a recently diagnosed Stage I or Stage II squamous cell carcinoma of one of the following sites: tongue, gum or mouth, oropharynx, hypopharynx, pharynx, or larynx. Patients with carcinoma in situ at the above sites were also eligible. Patients had to be between 20 and 75 y of age, have completed their treatments for the first cancer, be considered free of cancer at any site at entry into the trial, have no significant co-morbidities, and not have taken supplements of retinol, ß-carotene, vitamin E, or selenium other than multivitamins within the past year.
Physician consent was obtained prior to contacting potential participants. Participants were approached for participation by letter and then by phone; those who agreed were subsequently visited in-person by a trained nurse- or physician-interviewer/phlebotomist (usually in the participant's home), who obtained consent prior to proceeding. Participants were randomized to receive either supplemental ß-carotene (50 mg/d; Lurotin, BASF, Parsippany, NJ) or a corresponding placebo.
Dietary data collection.
One year after randomization, trained interviewers assisted subjects in
completing the Block Health Habits/History Questionnaire v.2.1 (long
form), which is a food frequency questionnaire consisting of a list of
98 food items, plus additional questions regarding dietary behaviors
(Block et al. 1986
). Participants were asked to report
on their usual dietary patterns over the past 12 mo. Nutrient intake
was computed from the questionnaires using the HHHQ software package
(version 3.4, 1995), provided with the questionnaire by the National
Cancer Institute. Nutrient calculations are based upon USDA food
composition databases. Subjects were also asked about smoking and
drinking habits. Questionnaires were excluded if 10 or more food items
were missing, if energy intake was implausible (>20.9 MJ/d, excluding
alcohol) or if the questionnaire was missing data on key
lycopene-containing foods, such as tomatoes and tomato juice.
Phlebotomy and biochemical analyses.
The interviewers, who were also trained in phlebotomy, obtained blood samples at the 12 mo interview. Blood was collected into two 10 mL heparinized evacuated tubes. Bloods were kept cold in the dark until the plasma could be separated. Plasma was aliquotted and stored at -70°C pending analysis. Samples from the Miami recruitment site were stored temporarily at -70°C, then shipped frozen to the clinical trial laboratory at Yale, where all samples were analyzed.
Plasma lycopene was analyzed by reverse-phase high pressure liquid
chromatography as described previously (Mayne et al. 1998
). The laboratory participated in the National Institute of
Standards and Technology micronutrient measurement proficiency testing
program. The coefficients of variation for the lycopene assay
averaged <10%.
Plasma cholesterol and plasma triglycerides were analyzed in duplicate by enzymatic assays (Sigma diagnostics, methods #352 and 339, respectively, Sigma, St. Louis, MO).
Data analysis.
Data were analyzed using PC-SAS software (SAS/STAT version 6; SAS
Institute, Cary, NC). For descriptive statistics, median plasma and
dietary lycopene were calculated, stratified by several variables.
Medians were used because the distribution of plasma lycopene was
skewed, and the sample size was relatively small. Wilcoxon rank sum
tests and a median test were used to test statistical significance.
Pearson's correlation coefficients were calculated for continuous
variables. As the plasma lycopene distribution was not normally
distributed, concentrations were also log transformed. Forward stepwise
regression analysis, and multiple regression analysis, was used to
determine the predictors of plasma lycopene concentrations. Variables
evaluated in these models included several dietary variables (i.e.,
consumption of individual carotenoids; fat; cholesterol; carbohydrate;
energy; vitamins A, C, E), serologic variables (i.e., plasma
cholesterol, triglycerides, plasma carotenoids, season when blood was
drawn), and demographic variables (i.e. sex, site, education, smoking
status, income, drinking, race/ethnicity, age, body mass index,
religious affiliation, previous cancer site). A P
value
0.05 was considered significant.
| RESULTS |
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Table 1
shows the demographic characteristics of the 111 participants who
had complete dietary questionnaires and blood samples available at year
1 and also the median plasma lycopene level and median dietary lycopene
intake in this population, stratified by key demographic factors. The
study population was primarily made up of male Caucasians, although the
Miami recruitment site provided some ethnic diversity to the study
population. Despite a prior diagnosis of oral, pharynx, or larynx
cancer (all tobacco-related cancers), one fourth of the participants
were still smoking at the one-year time point. The median age of the
study population was 65 y (range 4076 y); the median body mass
index was 25 kg/m2 (range 1541
kg/m2); and 68% of the participants had a prior
laryngeal cancer, 23% a prior oral cancer, and 9% a prior pharyngeal
cancer. Fifty-eight percent of patients had been treated previously
with radiation therapy, 34% with surgery, and 8% with the combination
of radiation plus surgery.
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The following variables were significantly correlated with plasma
lycopene concentrations, with and without log transformation, in
univariate analyses: plasma cholesterol, dietary lycopene, plasma
triglyceride, and daily vitamin C intake (Table 2
). None of the other dietary, serologic, or demographic variables
were significantly correlated with plasma lycopene concentrations.
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Lycopene bioavailability has been noted to be somewhat greater for
heat-processed versus unprocessed tomato products (Stahl and Sies 1992
); therefore, we ran additional regression models to
look at the influence of different food sources of lycopene on plasma
lycopene levels. In a regression model containing variables for
lycopene from spaghetti/lasagna/other pasta and lycopene from
tomatoes/tomato juice, the ß-coefficient for the former was 1.7-fold
the magnitude of the coefficient for the latter (P
values = 0.06 and 0.1, respectively). Thus, lycopene from
heat-processed tomato products was apparently more bioavailable than
lycopene from unprocessed tomato products.
The relationship between dietary lycopene intake versus plasma lycopene
concentration, by study site, is shown in Fig
ure.
1. Study subjects from Florida had notably lower lycopene intakes
(P = 0.0002) and plasma concentrations (P
= 0.001) compared to participants from Connecticut. There was
considerable variability in this relationship, with some subjects
having relatively high plasma lycopene levels (>0.9 µmol/L) despite
relatively low intake (<1,500 µg/d), and others having relatively
low plasma lycopene levels (<0.2 µmol/L) despite high intake levels
(>2,000 µg/d). The ß-coefficient for residents of Florida was
somewhat greater than that for residents of Connecticut, suggesting a
greater efficiency of carotenoid absorption in Florida residents,
possibly due to lower overall intake levels of lycopene (Fig. 1)
.
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| DISCUSSION |
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The rather striking observation that the participants from Florida
consumed half as much lycopene as participants from Connecticut may be
a consequence of regional differences in food preferences or might also
reflect racial and ethnic differences in food preferences, as the black
and Hispanic participants in the study were mostly from Florida. The
difference in intakes is not likely to be due to measurement error of
the dietary instrument because blood levels of lycopene were also
significantly lower in the study subjects from Florida, despite the
fact that all bloods were analyzed in one laboratory in Connecticut.
Others have reported that lycopene intakes are lower in
African-American men than in Caucasian men, and some have suggested
that this differential intake might contribute to the black-white
differential in prostate cancer incidence and mortality in the US
(Giovannucci et al. 1995
). Subjects with lower incomes
also had significantly lower plasma lycopene levels compared to
subjects with higher incomes. The variables race/ethnicity, study site,
and income could all be operating via a common mechanism, although
income was stratified separately for each site because Connecticut has
one of the highest per capita incomes in the US.
Consistent with reports of others (Ascherio et al. 1992
,
Brady et al. 1996
, Campbell et al. 1994
,
Michaud et al. 1998
, Peng et al. 1995
,
Vogel et al. 1997
), we observed an inverse correlation
between plasma lycopene concentrations and age. The correlation we
observed between dietary lycopene intake and plasma lycopene
concentrations (r = 0.29) is very similar to what was
reported by other investigators (Brady et al. 1996
,
Forman et al. 1993
, Yong et al. 1994
).
Forman et al. (1993)
measured lycopene intake by both food records and
food frequency questionnaires in one population and reported that
higher correlations with plasma lycopene could be achieved via the use
of food records (r = 0.450.53) as compared to food
frequency questionnaires (r = 0.240.26). This implies
that food frequency questionnaires may have more measurement error than
food records; however, the ease of administration, coding, and analysis
of food frequency questionnaires accounts for their widespread use in
epidemiologic studies.
The nutrient database used as well as the questionnaire can impact
nutrient estimation and corresponding measurement error.
VandenLangenberg et al. (1996)
examined the impact of using two
different carotenoid databases on estimates of carotenoid intake.
Lycopene intake estimates were affected by the choice of the nutrient
database, with HHHQ producing lower estimated lycopene intakes than the
USDA-NCI database; however, the two databases ranked individuals
similarly, and the diet-serum correlations were nearly identical
(lycopene r = 0.29 for HHHQ versus 0.25 for USDA-NCI
database). From this, it is possible that lycopene intake in our
population is underestimated, but the correlation with plasma values is
probably unaffected by the choice of database.
The multivariate model we developed, which includes terms for plasma
cholesterol, marital status, and dietary lycopene intake, explained
26% of the variance in plasma lycopene concentrations. In comparison,
Campbell et al. (1994)
reported that a model including the terms age,
alcohol, plasma cholesterol, body mass index, energy intake, supplement
use, vegetable/fruit intake, and vitamin E intake explained 26% of the
variance in plasma lycopene in a population of young, healthy
nonsmokers, and Ascherio et al. (1992)
reported that a model containing
the variables age, plasma cholesterol, plasma triglyceride, alcohol
intake, energy intake, and carotene intake explained 38% of the
variance in plasma lycopene levels in men but only 9% in women. Better
model prediction of plasma lycopene in men versus women has also been
reported by others (model R2 of 0.50 in
nonsmoking men versus 0.16 in nonsmoking women; Michaud et al. 1998).
Thus, a large proportion of the variance in plasma lycopene levels
remains unexplained in all of the studies completed to date. This is
typical for studies of carotenoids and may reflect the fact that some
individuals seem to absorb carotenoids relatively well, whereas others
are relatively poor absorbers of carotenoids. The biochemical basis for
this is unknown.
In conclusion, we found that low plasma concentrations of lycopene were associated with the following variables in univariate analyses: study site (Florida lower than Connecticut), being nonmarried, having a lower income, being nonwhite race/ethnicity, having low dietary lycopene intake, having low plasma cholesterol and plasma triglyceride levels, and consuming less vitamin C. However, in multivariate analyses, only three of these variables were found to be important determinants of plasma lycopene concentrations: plasma cholesterol, marital status, and dietary lycopene intake.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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2 Supported by grants #R01 CA 42101 and CA
64567. ![]()
Manuscript received September 5, 1998. Initial review completed October 21, 1998. Revision accepted December 21, 1998.
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