The functional variant V433M of the CYP4F2 and the metabolic syndrome in Swedes
Transcript of The functional variant V433M of the CYP4F2 and the metabolic syndrome in Swedes
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Contents lists available at SciVerse ScienceDirect
Prostaglandins and Other Lipid Mediators
he functional variant V433M of the CYP4F2 and the metabolic syndrome inwedes
ristiano Favaa,b,∗, Martina Montagnanaa,c,1, Elisa Danesea,b,c,1, Marketa Sjögrena, Peter Almgrena,ian Cesare Guidic, Bo Hedblada, Gunnar Engströma, Pietro Minuzb, Olle Melandera
Department of Clinical Sciences, Lund University, Skane University Hospital, Malmö, SwedenDepartment of Medicine, ItalyDepartment of Life and Reproduction Sciences, University Hospital of Verona, Italy
r t i c l e i n f o
rticle history:eceived 10 January 2012eceived in revised form 20 February 2012ccepted 22 March 2012vailable online xxx
eywords:ytochrome P4500-HETEeneticsetabolic syndrome
YP4F2riglycerides
a b s t r a c t
Background and aim: The genetic basis of Metabolic syndrome (MetS) is largely unknown but a link withsalt sensitivity is recognized. The cytochrome P450 isoform 4F2 (CYP4F2) is involved in renal productionof 20-hydroxyeicosatethraenoic acid (20-HETE), a natriuretic substance associated with salt sensitivity.The same enzyme is implicated in -hydroxylation of very long and medium chain fatty acids in theliver suggesting its possible influence on gluco-metabolic components of MetS. The aim of the presentstudy was to evaluate the effect of CYP4F2 V433M, a functional polymorphism previously associated withhypertension via renal salt reabsorption, on the individual components of MetS and MetS itself.Methods: The polymorphism was genotyped in the cardiovascular cohort of the Malmö Diet and Cancer(MDC-CVA) study and successively in the Malmö Preventive Project (MPP) cohort. Different definitionsof the MetS were applied.Results: In the MDC-CVA, male, but not female, CYP4F2 M433 carriers had significantly higher levelsof waist, triglycerides, BP and a composite sum of MetS phenotypes (MetS score) beside lower HDL-cholesterol respect to V-homozygotes. MetS, as defined in the ATPIII and the AHA/NHLBI definitions, was
more prevalent in M-carriers with respect to V-homozygotes. In the MPP cohort, significant associationwas detectable only for triglycerides at baseline and for Diastolic BP at reinvestigation in male M-carriers.Conclusion: The initial positive association of the CYP4F2 V433M polymorphism with components of MetSand MetS itself, found in MDC-CVA, was partially denied in another large cohort. The first associationeither could be due to a false positive result or alternatively, different genetic background or populationstratification could have hidden the effect of the polymorphism in the replication cohort.33
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. Introduction
20-HETE is a vasoconstrictor and natriuretic substance, derivedy metabolism of arachidonic acid by cytochrome p450 (CYP).ince the 1980s its role in hypertension development in differentats and mice strains has been established [1] and more recentlyas been proposed also in humans [2]. CYP4F2 is the enzymeesponsible for most of 20-HETE production at renal level whereas
Please cite this article in press as: Fava C, et al. The functional variant V433MOther Lipid Mediat (2012), http://dx.doi.org/10.1016/j.prostaglandins.2012
common, functional polymorphism, CYP4F2 V433M, was asso-iated with hypertension development and other cardiovascularutcomes in different studies [3–5]. The functional significance of
∗ Corresponding author at: Department of Medicine, Division of Internal Medicine, Piazzale LA Scuro 10, 37134 Verona, Italy. Tel.: +39 45 8124414;ax: +39 45 8027465.
E-mail addresses: [email protected], [email protected] (C. Fava).1 Contributed equally to this work.
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098-8823/$ – see front matter © 2012 Published by Elsevier Inc.ttp://dx.doi.org/10.1016/j.prostaglandins.2012.03.001
© 2012 Published by Elsevier Inc.
these mutations on the ability of the CYP4F2 enzyme to metabo-
lize arachidonic acid was previously demonstrated in recombinant
baculoviruses, where the presence of the M433 allele, decreased
20-HETE production to more than 50% of control [6].
Other authors found that a haplotype construct of the CYP4F2 is
involved in hypertension development and cardiovascular disease
[7,8].
A link between salt sensitivity and other gluco-metabolic traits
has long been recognized and is partially demonstrated by the clus-
tering of all these features in the metabolic syndrome (MetS). The
genetic basis of this clustering is largely unknown and most of the
studies converge about the relation between insulin resistance and
salt sensitivity [9].
Since the CYP4F2 is expressed also at liver level and is implicated
of the CYP4F2 and the metabolic syndrome in Swedes. Prostaglandins.03.001
in -hydroxylation of very long and medium chain fatty acids, a 47
process that is increased in different metabolic diseases and differ- 48
ently influenced by starvation, excess lipid and alcohol intake [10], 49
we were interested in exploring a possible role of the functional 50
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433M polymorphism in different features of the MetS beyondlood pressure (BP).
Thus, the aim of the present study was to test the associationf the CYP4F2 V433M polymorphisms with MetS individual com-onents and MetS as defined by different Scientific Societies [11].sing standardized residuals from all the single components ofetS we constructed also a MetS score to have a single continuous
ariable to be analyzed for MetS [12].
. Materials and methods
All study participants had given written informed consent. Theocal ethics committee of Southern Sweden approved the studies.he procedures were in accordance with the institutional guide-ines.
.1. Malmö Diet and Cancer study (MDC)
The study population is derived from the Malmö Diet and Can-er study (MDC) The BP along with other cardiovascular risk factorsere measured in a sub-sample of MDC referred to as the MDC-
ardiovascular arm (MDC-CVA) (n = 6103) [13,14]. Successfullyxtracted genomic DNA was available from 5763 MDC-CVA par-icipants. Fasting plasma samples were available in 5,533 subjectssee supplementary material for further details). Complete dataor the components of the metabolic syndrome [National Choles-erol Education Program/Adult Treatment Panel III (NCEP/ATP III),nternational Diabetes Federation (IDF), American Heart Associa-ion/National Heart, Lung, Blood Institute (AHA/NHLBI) definitions]nd CYP4F2 genotype was available in 5383 individuals. In the anal-ses of the European Group for the Study of Insulin ResistanceEGIR) definition, 547 patients (with diabetes and/or with no datan fasting insulin concentration in plasma) were excluded from theohort of 5341 subjects leaving 4836 subjects for analysis.
.2. Malmö Preventive Project (MPP)
In the MPP, 33,346 Swedish participants (22,444 men and0,902 women, mean age 49 years, from the city of Malmö in south-rn Sweden participated in health screening during 1974–1992attendance rate 71%) [15]. All individuals underwent a phys-cal examination and measurements of fasting blood glucosend triglycerides concentrations were performed. Information onifestyle factors and medical history was obtained from a self-dministered questionnaire. Of individuals participating in thenitial screening, 4931 died and 551 were lost from follow-up forther reasons. Twenty-five thousand of the eligible individualsere invited to a re-screening visit during 2002–2006, including ahysical examination and fasting blood samples for measurementsf glucose, triglycerides and HDL-cholesterol concentrations. Of thenvited individuals, 18,240 participated in the re-screening; 705 ofhem were excluded from the present study because of the lack ofNA or crucial clinical information. Thus, 17,535 participants, were
ncluded in the follow-up study.
.3. Phenotyping
Waist circumference was measured with the patient stand-ng, at the umbilicus level. The BMI was calculated as the ratiof the weight in kilograms to the square of the height in meterskg/m2). BP was measured by specially trained nurses in the rightrachial artery with some differences between the studies (see
Please cite this article in press as: Fava C, et al. The functional variant V433MOther Lipid Mediat (2012), http://dx.doi.org/10.1016/j.prostaglandins.2012
upplementary methods). The systolic BP was defined by ‘phase’ and the diastolic BP defined by ‘phase V’ Korotkoff sounds.
When continuous traits where analyzed, a duplicate analysisas done: either excluding people under chronic therapy: that is
PRESSid Mediators xxx (2012) xxx– xxx
antihypertensive treatments (n = 876 in MDC-CVA; n = 5915 in MPP
at reinvestigation; glucose lowering agents (n = 73 in MDC-CVA;
n = 1262 in MPP at reinvestigation; and lipid lowering drugs (n = 120
in MDC-CVA; n = 168 in MPP at reinvestigation; or adding 1 SD to
the standardized age/sex adjusted residuals (see below).
2.4. Laboratory analysis
After an overnight fast, blood samples were drawn for the deter-
mination of serum lipids, serum insulin and whole blood glucose.
Samples were analyzed by standard methods at the Department of
Clinical Chemistry, Malmö University Hospital. Details of the mea-
surement of serum lipids, serum insulin and whole blood glucose
have been published elsewhere [16].
When serum triglyceride levels were above 4.00 mmol/l, LDL
cholesterol was not determined.
2.5. Metabolic syndrome definitions
MetS was defined according to NCEP/ATP III criteria, according tothe IDF definition, according to the EGIR definition (subjects with-
out diabetes only) and according to the latest AHA/NHLBI definition(see the Supplementary methods for details).
For the EGIR definition it is necessary to detect insulin resistance.
We defined insulin resistance as HOMA values >75th percentile
(i.e. >1.813 mmol mU L−2 for females and >2.133 mmol mU L−2 for
males, based on the distribution of all subjects without diabetes
included in the MDC-CVA).
In the MPP at baseline, as waist and HDL-cholesterol measure-
ments were not available for most participants, we were unable to
construct the definitions of the metabolic syndrome according to
any of the common definitions.
2.6. MetS score
In the MDC-CVA and in the MPP at reinvestigation we con-
structed a MetS score to analyze MetS as a quantitative trait. First,
we adjusted each of the variables included in the MetS definitions,
for gender and age. The residuals from these linear regression anal-yses were then standardized by subtracting the age and gender
specific mean and dividing by the age and gender-specific stan-
dard deviation. Since the resultant residuals were approximately
normally distributed, the standardization process yielded trait val-
ues that followed a N ∼ (0, 1) distribution. Since many people, were
under antihypertensive, or antilipemic or antidiabetic medications
we replicated the analysis either without considering the medi-
cations or adding 1SD of the trait in question, if the patient was
treated. Outliers for each trait were handled as follows: subjects
with values > ±3 SD were set as ±3 SD.
To generate the MetS score for each of the subjects’
available observations, we combined the standardized resid-
uals for each component trait as follows: [MetS score = mean
BP + triglycerides + glucose + waist − HDL]; the HDL was subtracted
from the score because it is protective against cardiovascular
diseases, and tends to be inversely correlated with the other com-
ponent traits; thus, lower HDL values correspond to a higher MetS
score.
2.7. Genotyping
of the CYP4F2 and the metabolic syndrome in Swedes. Prostaglandins.03.001
Genotypes of the CYP4F2 V433M polymorphism (dbSNP 161
accession number, rs2108622) were determined by end-point flu- 162
orescent measurements (see Supplementary Material for details). 163
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Table 1Anthropometric and metabolic features of the investigated subjects in the MDC-CVA and MPP (baseline and reinvestigation).
All subjectsWith at least one valid genotype Numb. MDC-CVAAll subjects Numb. MPPAt baseline Numb. MPPAt follow-up
Gender, male (%) 5154 42.2 17,669 63.4 17,924 63.4Age, years 5154 57.67 ± 5.95 17,669 45.09 ± 7.40 17,924 68.23 ± 5.77Systolic blood pressure, mmHg 5154 141.57 ± 19.04 17,669 126.77 ± 14.10 17,924 145.01 ± 19.97Diastolic blood pressure, mmHg 5154 87.00 ± 9.35 17,669 85.27 ± 8.69 17,924 83.56 ± 10.56Body mass index, kg/m2 † 5154 25.82 ± 3.93 17,669 24.29 ± 3.37 17,924 27.16 ± 4.15Waist, cm † 5154 83.92 ± 12.86 606 79.64 ± 10.26 17,924 94.8 ± 12.3Glucose, mmol/L || 5154 5.18 ± 1.38 17,669 4.91 ± 0.75 17,924 5.84 ± 1.43Cholesterol, mmol/L || 5150 6.17 ± 1.08 17,669 5.61 ± 1.05 17,924 5.60 ± 1.09Triglycerides, mmol/L || 5154 1.37 ± 0.74 17,669 1.28 ± 0.80 17,924 1.27 ± 0.80HDL-cholesterol, mmol/L || 5154 1.38 ± 0.37 0 – 17,924 1.41 ± 0.42Obesity, % † 5154 13.2 17,669 5.6 17,924 21.7Hypertension (ATPIII definition), % 5154 76.7 17,669 58.9 17,924 84.6Diabetes, % ‡ 5148 8.5 17,669 3.2 17,924 13.2MetS, ATPIII definition 5154 22.1 0 – 17,924 29.3MetS, IDF definition 5154 29.5 0 – 17,924 45,3MetS, EGIR definition 4612 20.6 0 – 0 –MetS, AHA/NHLBI definition 5154 37.2 0 – 17,924 47,8
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DC CVA, Malmö Diet and Cancer Cardiovascular Arm; MPP, Malmö Preventive Prreatment Panel III; IDF, International Diabetes Federation; EGIR, European Groupeart, Lung and Blood Institute (AHA/NHLBI).
.8. Statistics
Continuous variables are presented as the mean ± SD. All data,xcept for the power analysis, were analyzed with SPSS statisticaloftware (version 18.0; SPSS Inc. Chicago, Illinois, USA). Chi-squareest (Pearson) was used to compare group frequencies and to testor deviations from Hardy-Weinberg equilibrium. Analysis of vari-nce followed by Tukey’s test and t-test was used to compare groupeans of continuous variables. Multiple logistic and linear regres-
ion analyses were used in the multivariate models with MetStatus and/or the MetS score as dependent variables and genotype,ge, gender as independent variables.
For variables with skewed distributions such as glucose andriglycerides, log-normalized values were used in the analysis. Allests were two-sided and P values less than 0.05 were consideredtatistically significant.
. Results
Genotyping success rate in the subsamples with complete dataor the components of the MetS was 95.7% (n = 5154) in MDC-CVA,9.1% (18,084) in MPP. In MDC-CVA we had 2825 (54.8%) V433Vomozygotes, 1981 (38.4%) V433M heterozygotes and 348 (6.8%)433M homozygotes; in MPP we had 9814 (54.3%) V433V homozy-
otes, 7057 (39.0%) V433M heterozygotes and 1213 (6.7%) M433Momozygotes.
Genotype distributions did not deviate from Hardy–Weinbergquilibrium in all the samples (2 = 0.01, P = 0.99 in the MDC-CVA,2 = 0.59, P = 0.74 in the MPP).
Clinical characteristics of all participants are presented inable 1. Detailed analyses about statistical power are reported inupplementary material.
.1. MDC-CVA
On the basis of the findings in our previous study [15] we focusedur attention especially on the Autosomal Dominant model, whichetter fits our data. Results about autosomal recessive and additiveodels are also reported in Supplementary Tables S1–S4.As shown in Table 2, a statistically significant difference in
Please cite this article in press as: Fava C, et al. The functional variant V433MOther Lipid Mediat (2012), http://dx.doi.org/10.1016/j.prostaglandins.2012
riglycerides and HDL-cholesterol level as well as the compositeetS score was observed in carriers of different CYP4F2 V433M
enotypes. When we stratified the population by gender, we foundhat, the results about HDL-cholesterol and triglycerides remained
MetS, metabolic syndrome; NCEP, National Cholesterol Education Program/Adulthe Study of Insulin Resistance; AHA/NHLBI, American Heart Association/National
significant in male but not in female M-carriers (Table 2); indeed the
differences in waist and BP became statistically significant (Table 2).
The MetS score remained significantly higher only in male carriers
of the CYP4F2 M-allele. Repetitions of all these analyses with-
out adjusting the crude values by antihypertensive, antilipemic or
antidiabetic medications gave similar results (data not shown).
Analysis of the dichotomous trait MetS as defined in the
ATPIII, IDF, EGIR and AHA/NHLBI definitions showed an increase
in the prevalence of the syndrome (ATPIII and AHA/NHLBI def-
initions) in carriers of the M-allele with a trend using the IDF
definition and no difference using the EGIR definition in which
diabetic subjects were excluded (Table 3). When excluding dia-
betic subjects also from the ATPIII and AHA/NHLBI definitions,
the positive association remained statistically significant (ATPIII:
OR[95%CI] 1.189 [1.040–1.359] and AHA/NHLBI: O.R. [95%CI] 1.137
[1.005–1.288]). When stratified by gender the increase in the
prevalence of the syndrome in carriers of the M-allele was still
present and of the same magnitude in males but not in females
(Table 3).
3.2. MPP
In the MPP all MetS individual components were not statistically
different in carriers of different CYP4F2 genotype with the excep-
tion of a mild difference in triglycerides at baseline, which resulted
higher in carriers of the CYP4F2 M-allele (Table 2). After stratifica-
tion for gender, triglycerides at baseline as well as diastolic BP at
reinvestigation resulted significantly higher in male carriers of the
CYP4F2 M-allele (Table 2). Repetitions of all these analyses with-
out adjusting the crude values by antihypertensive, antilipemic or
antidiabetic medications gave similar results (data not shown).
In Table 3 analyses of different definitions of MetS and CYP4F2
genotype are presented showing that only using the AHA/NHLBI
definition a positive trend toward significance was evident in car-
riers of the CYP4F2 M-allele. When excluding diabetic subjects,
carriers of the M-allele showed a significantly higher OR for MetS
prevalence only when the AHA/NHLBI definition was used (O.R.
[95%CI]: 1.068 [1.001–1.140] p = 0.046).
Stratifying the results by gender, we found only a non significant
trend toward higher risk of MetS as defined according to the ATPIII
of the CYP4F2 and the metabolic syndrome in Swedes. Prostaglandins.03.001
in male carriers of the CYP4F2 M-allele. 241
When 1293 male subjects (11.3%) who also participated in the 242
MDC-CVA were excluded from the MPP, the association between 243
the M-allele, diastolic BP ( ± SE: 0.041 ± 0.023; p = 0.066) and 244
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Table 2Beta coefficient and standard error (on parenthesis) for the CYP4F2 V433M polymorphism tested by linear regression under the autosomal dominant genetic model in thewhole population and after stratification for gender.
MetS individual components Whole population Males Females
ˇ-coeff. (SEM) p-value ˇ-coeff. (SEM) p-value ˇ-coeff. (SEM) p-value
Malmö Diet and CancerSystolic BP, mmHg 0.049 (0.032) 0.12 0.145 (0.05) 0.004 −0.021 (0.042) 0.62Diastolic BP, mmHg 0.046 (0.032) 0.15 0.127 (0.052) 0.015 −0.009 (0.04) 0.82Waist, cm 0.045 (0.027) 0.10 0.094 (0.043) 0.029 0.010 (0.037) 0.78Triglycerides, mmol/L 0.073 (0.029) 0.01 0.111 (0.046) 0.017 −0.06 (0.036) 0.09Glucose, mmol/L −0.005 (0.024) 0.83 −0.014 (0.030) 0.64 −0.005 (0.024) 0.83HDL-cholesterol, mmol/L −0.082 (0.028) 0.004 −0.127 (0.043) 0.003 −0.05 (0.037) 0.18MetS score 0.272 (0.098) 0.006 0.521 (0.154) 0.001 0.091 (0.127) 0.47
Malmö Preventive Project (baseline)Systolic BP, mmHg 0.008 (0.016) 0.61 0.004 (0.018) 0.82 0.015 (030) 0.62Diastolic BP, mmHg 0.021 (0.016) 0.19 0.025 (0.020) 0.20 0.013 (0.027) 0.63BMI 0.003 (0.014) 0.82 0.000 (0.017) 0.99 0.008 (0.026) 0.75Triglycerides, mmol/L 0.029 (0.015) 0.04 0.044 (0.019) 0.023 0.004 (0.023) 0.87Glucose, mmol/L −0.017 (0.014) 0.21 −0.016 (0.017) 0.33 −0.019 (0.023) 0.42
Malmö Preventive Project (reinvestigation)Systolic BP, mmHg 0.016 (0.017) 0.34 0.026 (0.021) 0.22 −0.001 (0.030) 0.97Diastolic BP, mmHg 0.029 (0.018) 0.11 0.044 (0.021) 0.04 0.001 (0.028) 0.98Waist, cm −0.002 (0.015) 0.92 0.005 (0.018) 0.77 −0.014 (0.027) 0.59Triglycerides, mmol/L 0.0.22 (0.015) 0.13 0.028 (0.019) 0.14 0.012 (0.023) 0.61Glucose, mmol/L 0.006 (0.017) 0.75 0.028 (0.023) 0.22 −0.033 (0.026) 0.21HDL-cholesterol, mmol/L −0.005 (0.015) 0.76 −0.012 (0.017) 0.49 0.008 (0.028) 0.76MetS score 0.035 (0.057) 0.55 0.113 (0.070) 0.11 −0.103 (0.097) 0.29
B All ths
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P, blood pressure; HDL, high density lipoproteins; MetS, metabolic syndrome. N.B.ubject treated by specific drugs (see Section 2 for detailed description).
riglycerides ( ± SE: 0.039 ± 0.020; p = 0.054) remained borderlineignificant.
. Discussion
This study provides evidence that a common functional poly-orphism of the CYP4F2 V433M, might be associated with several
eatures of the MetS and MetS itself, at least in males However, aefinitive conclusion about the effect of this polymorphism shouldemain cautious: in fact, after a clear result in the MDC-CVAhere male M-carriers were associated with all the MetS individ-al components with the exception of glucose, the result was lessonvincing in the MPP where only diastolic BP and triglyceridesere higher in male carriers of the CYP4F2 M-allele.
This CYP4F2 V433M SNP is already well known for its associ-tion with BP/hypertension and stroke but several considerationsrompted us to test its effect on the other features of the MetS:rst, the CYP4F2 enzyme is expressed also in the liver where par-icipates in the -hydroxylation of medium and very long/long
Please cite this article in press as: Fava C, et al. The functional variant V433MOther Lipid Mediat (2012), http://dx.doi.org/10.1016/j.prostaglandins.2012
hain fatty acids (FA), saturated and unsaturated FA which areetabolized by oxidation to shorter chain FA incorporated into
hospholipids, triglycerides and cholesterol esters. Normally thisathway is of minor importance (5–15%) in the metabolism of FA
able 3dds ratio and 95% CI (on parenthesis) for Metabolic syndrome conferred by the CYP4Fodel in the whole population and after stratification for gender.
Whole population p-value
Malmö Diet and CancerMetS, ATPIII definition 1.193 (1.056–1.349) 0.005
MetS, IDF definition 1.111 (0.984–1.253) 0.09
MetS, EGIR definition 1.046 (0.871–1.256) 0.63
MetS, AHA/NHLBI definition 1.135 (1.011–1.275) 0.03
Malmö Preventive Project (reinvestigation)MetS, ATPIII definition 1.046 (0.980–1.115) 0.18
MetS, IDF definition 1.040 (0.981–1.104) 0.19
MetS, AHA/NHLBI definition 1.056 (0.995–1.121) 0.07
etS, metabolic syndrome; NCEP, National Cholesterol Education Program/Adult Treatmtudy of Insulin Resistance; AHA/NHLBI, American Heart Association/National Heart, Lun
e standardized residuals were adjusted for age and sex and 1 SD was added to each
but can increase markedly during starvation, ethanol intake and
in different metabolic disorders [10]. Moreover in animals CYP4F
can be induced by insulin and high fat diet can differently regulate
the gene expression of CYPs since it increases CYP4A but suppressCYP4F, a mechanism that has been implicated in liver protection
from steatosis and steatohepatitis [10]. Second, it is established the
link between MetS and a low grade inflammatory state: CYP4F2
can metabolize both pro and anti-inflammatory leukotrienes along
with other pro-inflammatory eicosanoids including 5-HETE, 12-
HETE and 8-HETE [6].
Third, the fact that in our previous study the effect of this poly-
morphism on the incidence of stroke resulted independent from
hypertension raised the suspicion that its action could be mediated
by another, still unknown, metabolic risk factor [4].
However, the fact that the CYP4F2 V433M is associated not only
with MetS as defined by the ATPIII and AHA/NHLBI but also with all
the features of the MetS except from glucose, at least in the MDC-
CVA, was mostly unexpected. To our knowledge there are only a
few SNPs simultaneously associated with 3 or more features of the
of the CYP4F2 and the metabolic syndrome in Swedes. Prostaglandins.03.001
MetS in the same population [17]. On the other hand, the results 285
for HDL-cholesterol and waist were no longer present in the MPP 286
where only Diastolic BP and triglycerides were slightly higher in 287
male carriers of the CYP4F2 M-allele. 288
2 V433M polymorphism tested by logistic regression according to the AD genetic
Males p-value Females p-value
1.285 (1.075–1.535) 0.006 1.117 (0.944–1.323) 0.201.143 (0.958–1.365) 0.14 1.051 (0.889–1.244) 0.561.132 (0.87–1.474) 0.36 0.972 (0.753–1.255) 0.831.205 (1.015–1.431) 0.03 1.080 (0.923–1.265) 0.34
1.074 (0.991–1.164) 0.08 1.037 (0.935–1.151) 0.491.031 (0.958–1.111) 0.41 1.064 (0.963–1.175) 0.221.060 (0.985–1.142) 0.12 1.058 (0.958–1.169) 0.27
ent Panel III; IDF, International Diabetes Federation; EGIR, European Group for theg and Blood Institute (AHA/NHLBI). Adjustment for age, sex.
ING Model
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ARTICLERO 5983 1–6
C. Fava et al. / Prostaglandins & ot
The results about BP confirm our previous findings in theDC-CVA and also in the MPP was evident only in males further
upporting the idea that this Cytochrome could be regulated by sexormones as pointed out in animal models [18,19] and in otherenetic epidemiological studies [20].
Recent GWAS on MetS itself and individual components haveeldom pointed out loci close to the CYP4F2 which maps onhromosome 19p13.11. The SNP rs16996148 and rs17216525,reviously associated with triglycerides level are in the same chro-osomal region but 5,000,000 bp away and with no apparent LD
according to the Hapmap project) with respect to the rs210862221–23].
The studies that till now explored the link between metabolicraits of the MetS and hypertension focused especially on the rolef insulin and insulin resistance acting as salt sensitizers. In fact thentinatriuretic effect of insulin is exacerbated in states of metabolicnsulin resistance, representing a major mechanism for blood pres-ure elevation in this setting [24]. On the other hand hypertensionan cause pruning of the microvascular tree with capillary rarefac-ion provoking a restriction in maximum tissue perfusion and mayesult in impaired glucose extraction by skeletal muscle creating aicious circle [25].
Our data did not show any effect of the SNP on glucose, insulinevels or HOMA index (in the MDC-CVA ± SE: 0.001 ± 0.007;
= 0.89; and ± SE: −0.001 ± 0.008; p = 0.93) as a crude indexf insulin resistance. Thus, our data suggest a different way toxplore the link between CYP4F2 and both BP and MetS: the CYP4F2nzyme, at renal tubular level increase the reabsorption of saltavoring hypertension, whereas at hepatic level could metabolizesifferent lipid compounds, including triglycerides influencing theirlasma level. Moreover, a recent work emphasizes the functional
mportance of the hepatic CYP4F2 V433M polymorphism since war-arin dosage had to be augmented in people carriers of the 433Mllele because they have decreased capacity to metabolize vitamin
[26]. Unfortunately, we could not dose 20-HETE or other lipidediators derived by CYP4F2 in our populations.CYP4F2 is known to metabolize the leukotriens such as the
eukotriene B4 (LTB4) and the V433M could be expected to modu-ate inflammatory responses but in their in vitro work, Stec andoauthor did not find this polymorphism differently metabolizeTB4 [6]. It could also be that other SNPs in linkage disequilibriumLD) with the CYP4F2 V433M are implicated even if functional datauggest it is the major candidate [6].
Most of the positive associations we found in MDC-CVA wereuccessively partially denied in another large urban-based survey,ising the suspicion of a false positive results in the first cohort. Its important to emphasize some differences between these popu-ation: in particular the mean age was different between all thesetudies and this effect can influence all the analyzed parameters,econdly being MetS one of the most dangerous risk factor for CVvents, it is worth taking into account that 551 people died in MPPefore the reinvestigation and did not give their DNA for the anal-sis: thus, it is possible that this bias could have altered also ouresults.
We have to acknowledge some other limitations of our popu-ation studies. More than 2000 subjects (nearly 15%) of the MPPample were previously investigated in the MDC-CVA, thus includ-ng these subjects in the final analysis could result in a “duplication”ias, while deleting them could result in an “inappropriate sam-ling” bias. Probably due to the loss of statistical power the resultsbout DBP and triglycerides were only borderline significant wheneleting these subjects but seems consistent between the two anal-
Please cite this article in press as: Fava C, et al. The functional variant V433MOther Lipid Mediat (2012), http://dx.doi.org/10.1016/j.prostaglandins.2012
ses.Different ways exist to overcome the bias derived from ana-
yzing continuous values of subjects treated by antihypertensive,ntidiabetic and antilipemic drugs [27]. In our previous studies we
PRESSid Mediators xxx (2012) xxx– xxx 5
adopted different BP adjustment, on the basis of a method pro-
posed by Harrap and colleagues with mostly similar results. In this
study we chose to standardize all continuous trait and to adjust
for specific medications just adding 1 SD to the measured values.
This method could be seen as an oversimplification but we know
that by excluding these subjects we risk to lose important data
about the most informative subjects, and by including them with-
out adjusting their values we do not take into account the effect of
drugs.
In any case the results were mostly similar also when the treated
subjects were excluded from the analysis or the continuous value is
not adjusted for specific medication apart from BP that was no more
significant if treated subjects were excluded (data not shown).
Moreover, MetS is a heterogeneous condition characterized
by different metabolic and haemodynamic disturbances pooled
together with the presumption to share insulin resistance as theunifying factor; however the final prove it is a definite disease andnot the sum of different conditions is lacking. Nevertheless, what-ever the utilized definition a strong association of the MetS with
cardiovascular mortality [28] and morbidity [16,29,30] has beenfound. The use of all the major current definitions was an attempt
to circumvent any bias derived from misclassification.
In conclusion, in a large urban based survey a common V433M
polymorphism of the CYP4F2 increased the risk of MetS individual
components, a composite MetS score and MetS defined according to
the ATPIII and AHA/NHLBI definitions. In a large confirmatory study
most of these findings were denied but a positive result remained
at least for triglycerides and BP. Both false positive and false neg-
ative results could explain these contradictory results. Moreover
MetS, is a syndrome difficult to define, as witnessed by the con-
tinuous attempts of definition by different Scientific Societies, and
this could add to the complication. Our study underlines how it is
difficult to get undoubted results on genetic findings even if large
samples are utilized. Further studies in different populations are
warranted.
Disclosures statement
GE is employed as senior epidemiological scientist at
AstraZeneca R&D.
Other authors have nothing to disclose.
Funding
This study was supported by grants from the Swedish Medi-
cal Research Council, the Swedish Heart and Lung Foundation, the
Medical Faculty of Lund University, Malmö University Hospital, the
Albert Påhlsson Research Foundation, the Crafoord Foundation, the
Ernhold Lundströms Research Foundation, the Region Skane, Hulda
and Conrad Mossfelt Foundation and King Gustaf V and Queen
Victoria Foundation. The Knut and Alice Wallenberg Foundation
provided economic support of the SWEGENE DNA extraction facil-
ity.
Appendix A. Supplementary data
Supplementary data associated with this article can be
found, in the online version, at http://dx.doi.org/10.1016
/j.prostaglandins.2012.03.001.
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