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Fruit and vegetable consumption and proinflammatory gene expression from peripheral blood mononuclear cells in young adults: a translational study

Helen Hermana M Hermsdorff, María Ángeles Zulet, Blanca Puchau and José Alfredo Martínez*

Author Affiliations

Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, Pamplona, Spain

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Nutrition & Metabolism 2010, 7:42  doi:10.1186/1743-7075-7-42

The electronic version of this article is the complete one and can be found online at: http://www.nutritionandmetabolism.com/content/7/1/42


Received:23 March 2010
Accepted:13 May 2010
Published:13 May 2010

© 2010 Hermsdorff et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Fruits and vegetables are important sources of fiber and nutrients with a recognized antioxidant capacity, which could have beneficial effects on the proinflammatory status as well as some metabolic syndrome and cardiovascular disease features. The current study assessed the potential relationships of fruit and vegetable consumption with the plasma concentrations and mRNA expression values of some proinflammatory markers in young adults.

Methods

One-hundred and twenty healthy subjects (50 men/70 women; 20.8 ± 2.6 y; 22.3 ± 2.8 kg/m2) were enrolled. Experimental determinations included anthropometry, blood pressure and lifestyle features as well as blood biochemical and inflammatory measurements. The mRNA was isolated from peripheral blood mononuclear cells (PBMC) and the gene expression concerning selected inflammatory markers was assessed by quantitative real-time PCR. Nutritional intakes were estimated by a validated semi-quantitative food-frequency questionnaire.

Results

The highest tertile of energy-adjusted fruit and vegetable consumption (>660 g/d) was associated with lower plasma concentrations of C-reactive protein (CRP) and homocysteine and with lower ICAM1, IL1R1, IL6, TNFα and NFκB1 gene expression in PBMC (P for trend < 0.05), independently of gender, age, energy intake, physical activity, smoking, body mass index, systolic blood pressure and circulating non-esterified fatty acids. In addition, plasma CRP, homocysteine and TNFα concentrations and ICAM1, TNFα and NFκB1 gene expression in PBMC showed a descending trend as increased fiber intake (>19.5 g/d) from fruits and vegetables (P for trend < 0.05). Furthermore, the participants within the higher tertile (>11.8 mmol/d) of dietary total antioxidant capacity showed lower plasma CRP and mRNA values of ICAM1, IL1R1, IL6, TNFα and NFκB1 genes (P for trend < 0.05). The inverse association between fruit and vegetable consumption and study proinflammatory markers followed the same trend and remained statistically significant, after the inclusion of other foods/nutrients in the linear regression models.

Conclusion

A higher fruit and vegetable consumption was independently associated not only with reduced CRP and homocysteine concentrations but also with a lower mRNA expression in PBMC of some relevant proinflammatory markers in healthy young adults.

Background

A low-chronic inflammatory status is a recognized link between excessive adiposity and metabolic syndrome features, diabetes, and atherosclerosis [1,2]. In fact, a number of studies has demonstrated an increased expression of transcription nuclear factors such as nuclear-factor-kappa-B (NFκB) as well as of interleukins (IL) and tumor necrosis factor-alpha (TNFα) in obese subjects [1,3]. These changes appear to involve a higher production of proinflammatory and pro-atherogenic molecules such as C-reactive protein (CRP), homocysteine, selectins and adhesion molecules as well as some cytokines [1,3]. Furthermore, circulating peripheral blood mononuclear cells (PBMC) may have an important role in all these complex inflammatory processes, which are mediated by transcriptional nuclear-factors, cytokines and other pro-atherogenic molecules [4].

In turn, fruits and vegetables contain components such as plant proteins, potassium, magnesium, fiber, and others compounds with antioxidant capacity, whose consumption may reduce the risk of suffering metabolic syndrome manifestations [5-8]. Thus, the intake of fruits and vegetables has been related to marked reductions in proinflammatory and oxidative stress markers [9-12]. These previous findings indicate that a targeted emphasis on fruit and vegetable consumption could potentially help individuals in preventing and/or reducing the onset of cardiovascular diseases and metabolic syndrome complications by means of a beneficial modulation of low-grade inflammation and oxidative stress mediated processes.

In this context, nutrigenomic studies have demonstrated the healthy effect of specific nutrients and calorie-restriction on PBMC proinflammatory gene expression [13,14]. However, the effect of fruit and vegetable consumption on the expression of proinflammatory-related molecules in PBMC has not yet been apparently investigated.

Overall, the present study assessed the potential association of fruit and vegetable consumption with plasma concentrations of CRP, homocysteine, IL6, and TNFα as well as gene expression profiles, which were assessed through messenger RNA (mRNA) levels of genes encoding intercellular adhesion molecule-1 (ICAM1), interleukin-1 receptor-type 1 (IL1R1), interleukin-6 (IL6), tumor necrosis factor-alpha (TNFα), subunit-1 or p50 (NFκB1) and subunit-3 or p65 (RELA) of NFκB in PBMC, from young adults.

Methods

Subjects

One hundred twenty (50 men/70 women) subjects with a mean age of 20.8 ± 2.6 (range 18-30) years old and mean body mass index of 22.3 ± 2.8 (range 18.5-30.5) kg/m2 participated in this study. The volunteers were recruited through magazines, radio, web page and intranet tools from the University of Navarra. Exclusion criteria included previous inflammatory, heart, and respiratory diseases, hormonal treatment or drug use that affect glucose metabolism, alcohol and drug dependence, history of diets for weight loss or unstable weight in the last three months as examined by a trained physician. Each participant signed a written informed consent, which was previously approved by the Investigation Ethics Committee of the Clínica Universidad de Navarra (79/2005), in accordance with the principles of the Helsinki Declaration.

Dietary intake assessment

Assessment and information about dietary intake were obtained by the questionnaire of the Seguimiento Universidad de Navarra (SUN) Study [15]. This semi-quantitative food frequency questionnaire, which is validated for Spanish people [16], includes 136 items, considering 13 fruit items (oranges, banana, apple, pear, strawberry, grapefruit, peach/apricot/nectarine, cherry/plum, watermelon, melon, mango, papaya, and kiwi) and 11 vegetable items (spinach, lettuce, cauliflower/broccoli, tomatoes, carrots, green beans, peppers, cabbage, aubergines, asparagus, and 'gazpacho') related to fruit and vegetable consumptions, respectively. Also, natural orange juice and other natural fruit juices were also separately accounted in the questionnaire.

Nutrient intake was estimated using an ad hoc computer program specifically developed for this aim [15]. A dietitian updated the nutrient data bank using the latest available information included in the food composition tables for Spain [17,18]. Nutrient intake was calculated as frequency × nutrient composition of each portion size for each consumed food item, where frequencies were measured in nine frequency categories (6+/d, 4 to 6/d, 2 to 3/d, 1/d, 5 to 6/wk, 2 to 4/wk, 1/wk, 1 to 3/mo, never or almost never) for each food item. This questionnaire has been successfully applied to estimate dietary intake and specific nutrients in relation to proinflammatory outcomes [19-21].

Furthermore dietary total antioxidant capacity (TAC), expressed as mmol/d, was calculated by a proxy previously validated to this food-frequency questionnaire [20].

Clinical and biochemical assessments

Anthropometrical measurements were performed according to previously described procedures [19]. Thus, BMI was calculated by the quotient between weight (kg) and the squared height (m2), which was applied to categorize normal-weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), and obesity (BMI ≥ 30 kg/m2) subjects, according to the Spanish Society for Obesity Study criteria [22]. Blood systolic and diastolic pressures were measured according to WHO criteria [23].

Venous blood samples were drawn after a 12 h overnight fast by venipuncture. The EDTA-plasma and serum samples were separated from whole blood by centrifugation at 2,205 g, 15 min, at 5°C (Model 5804R, Eppendorf, Hamburg, Germany), and were frozen immediately at -80°C until assay. Plasma concentrations of triglycerides, total cholesterol, HDL-c, glucose (Horiba ABX Diagnostics, Montpellier, France), non-esterified fatty acid (NEFA) (Wako Chemicals GmbH, Neuss, Germany), and homocysteine (Demitec Diagnostic GmbH, Kiel-Wellsee, Germany) were measured by specific colorimetric assays, using an automated analyzer system (COBAS MIRA, Roche, Basel, Switzerland). Serum fasting insulin was measured by an ELISA kit (Mercodia, Uppsala, Sweden). Insulin resistance was estimated by the HOMA-IR, which was calculated as follows: HOMA-IR = [fasting glucose (mmol/l) × fasting insulin (μIU/l)]/22.5 [24]. Plasma concentrations of CRP, high-sensitive IL6 (hs-IL6), and TNFα (hs-TNFα) were measured by ELISA kits using an automated analyzer system (Triturus, Grifols, Barcelona, Spain). CRP was measured by using an Immundiagnostik AG kits, (Bensheim, Germany) and the cytokines by Quantikine immunoassay kits (hs-IL6 and hs-TNFα) from R&D Systems (Minneapolis, USA). In our laboratory, all the inter- and intra-assay variabilities were <10% selected for determinations.

PBMC were isolated by differential centrifugation (450 g, 30 min, at 20°C) by using PMN medium (Robbins Scientific Corporation, Sunnyvale, CA, USA), and total RNA from PBMC was extracted and subsequently purified by DNase treatment (DNA-free kit, Ambion/Applied Biosystems, Austin, TX, USA) as previously described [25]. Quantitative real-time PCR was performed by using an ABI PRISM 7000 HT Sequence Detection System as described by the manufacturer (Applied Biosystems, Foster City, CA, USA). Taqman probes for genes (ICAM1, IL1R1, IL6, TNFα, NFκB1, RELA) were also supplied by Applied Biosystems (Foster City, CA, USA). Gene expression levels were assessed and normalized by using 18s rRNA as internal control following previously described protocols [26,27]. The fold change (2-ddCt) in the target genes, normalized to 18S and relative to the lowest expression profile, was calculated for each sample according to the manufacturer's guidelines (Applied Biosystems, Foster City, CA, USA).

Other variables assessment

Regarding to other covariables, the SUN questionnaire also was used for collecting the information about lifestyle details as smoking status (never, former, and current smokers) and physical activity practice (Yes/No and volume of activity). To quantify the volume of activity, an activity metabolic equivalent (MET) index was computed by assigning a multiple of resting metabolic rate (MET score) to each activity [28]. Metabolic equivalents were estimated as the ratio of energy expended during each specific activity to resting metabolic rate and they are independent of body weight. Time spent in each of the activities was multiplied by the MET score specific to each activity, and then interpreted over all activities obtaining a value of overall weekly MET/h [29].

Statistical analysis

Results are shown as mean ± standard deviations (SD). The Shapiro-Wilk test was used to determine variable distribution. Comparisons between three groups were performed by ANOVA one-factor tests, while the post-hoc Tukey test was used concerning multiple comparisons. Dietary intakes were adjusted for the daily energy intake by the residuals method, applying separate models among women and men [30]. To assess the associations of fruit and vegetable consumption with plasma concentration and mRNA expression of proinflammatory markers, we categorized the participants by tertiles of food-group consumption. Means and SD were calculated for each related variable within each tertile of fruit and vegetable consumption. Linear trends were assessed by assigning the median value to each tertile of fruit and vegetable consumption, and modeling these values as a continuous variable. Data in the models were controlled for gender, age (years), BMI (kg/m2), daily energy intake (kcal/d), physical activity during leisure time (METs-hour per week), smoking (never, former, and current smokers), systolic blood pressure (mmHg), and non-esterified fatty acid concentration (mmol/l). The same procedure was performed in order to analyze the relationships of dietary TAC and dietary fiber (from fruit and vegetable intake) with proinflammatory markers. In addition, we categorized the participants by quintiles of fruit and vegetable consumption, and the ratios between the mean values of selected proinflammatory marker concentrations (CRP, homocysteine, IL6 and TNFα), computed as the quotient between fifth and first quintiles of this food-group consumption were calculated.

Furthermore, we used stepwise multiple regression [30] to identify the main variability food-items concerning fruit and vegetable consumption of participants of this study. Finally, statistical analyses were performed with SPSS 15.0 software (SPSS Inc., Chicago, IL, USA) for Windows XP (Microsoft, USA). A P-value < 0.05 was considered as statistically significant.

Results

Anthropometrical, clinical, and metabolic characteristics were examined by tertiles of fruit and vegetable consumption (Table 1). Thus, subjects within the highest tertile showed significantly lower values of BMI, waist circumference, systolic and diastolic blood pressure, as compared with those of the lowest tertile as well as lower homocysteine concentrations (P < 0.05). The circulating levels of other proinflammatory markers followed a decreasing trend, when analyzed with such criteria (Table 1). In addition, the ratios of mean concentrations of CRP, homocysteine, TNFα, and IL6, calculated as the quotient between values included in the fifth and in the first quintile of fruit and vegetable consumption, followed the same pattern, being the values of the highest quintile about 60-70% of the levels concerning the lowest quintile (Figure 1), with statistical significant differences (P < 0.05) reached for homocysteine and TNFα concentrations.

Table 1. Anthropometrical, clinical and metabolic characteristics of participants, according to tertiles (T) of energy-adjusted fruit and vegetable consumption (n = 120)

thumbnailFigure 1. Ratios of protein levels of selected proinflammatory markers, calculated from the fifth quintile (Q5: > 1150 g/d; n = 24), as compared to the first quintile (Q1: < 380 g/d; n = 24) of energy-adjusted fruit and vegetable consumption. *P < 0.05, Q1 vs. Q5, from post hoc Tukey test to correct for multiple comparisons, after performing ANOVA one-factor test (n = 120). CRP, C-reactive protein; Hcys, homocysteine; IL6, interleukin-6; TNFα, tumor necrosis factor-alpha

Moreover, those participants who were included in the third tertile also presented higher intake values for vegetable protein, potassium, magnesium, and vitamin C, as compared with subjects in the lowest tertile of fruit and vegetable consumption. Interestingly, fiber and dietary TAC also were statistically higher in those individuals included in the highest tertile of fruit and vegetable consumption (Table 2). Moreover, the more consumed fruit and vegetable by the participants were oranges and tomatoes (R2 = 0.45 and 0.42, respectively). Other important contributing food items to the dietary intake are listed in the Table 3, which explained 91 and 94% of total variability in fruit and vegetable intake, respectively.

Table 2. Food and nutrients consumption, according to tertiles (T) of energy-adjusted fruit and vegetable consumption (n = 120)

Table 3. Main fruit and vegetable items consumed by participants (n = 120)

Regarding proinflammatory markers, individuals on the highest tertile of fruit and vegetable consumption had statistically lower (P for trend < 0.05) values to plasma concentration of CRP and homocysteine (Table 4), after adjusting for several covariates. Interestingly, the concentrations of CRP, homocysteine, and TNFα were significantly lower (P < 0.05) across tertiles of fiber intake from fruits and vegetables, while levels of CRP were also lower across tertiles of increasing dietary TAC values (Table 4).

Table 4. Proinflammatory plasma concentration with respect to tertiles (T)a of energy-adjusted fruit and vegetable consumption, fiber from fruit and vegetable consumption and dietary TAC (n = 120)

Interestingly, individuals on the highest tertile of fruit and vegetable consumption had statistically lower (P for trend < 0.05) values to mRNA expression of ICAM1, IL1R1, IL6, TNFα, and NFκB1(p50) in PBMC, independent from assumed confounding factors (Table 5). In addition, ICAM1, IL1R1, IL6, TNFα, and NFκB1(p50) gene expressions were significantly lower in the subjects included in the highest tertile of dietary TAC (Table 5), while mRNA levels of ICAM1, TNFα, and NFκB1(p50) genes were markedly reduced in the third tertile of dietary fiber from fruit and vegetable consumption (Table 5).

Table 5. mRNA levels of proinflammatory gene expression from PBMC with respect to tertiles (T)a of energy-adjusted fruit and vegetable consumption, fiber from fruit and vegetable consumption and dietary TAC (n = 120)

Furthermore, other analyses were performed in order to evaluate the association of fruit and vegetable consumption and proinflammatory markers. Since fruit and vegetable consumption correlated with other foods/nutrients, the association between fruit and vegetable consumption (as independent variable) and proinflammatory markers (as outcomes) were analyzed, using linear regression models, additionally adjusted for vegetable protein, potassium, magnesium, total fat, polyunsaturated fatty acid or saturated fatty acid intake as well as for dietary TAC and fiber, as continuous variables. The inverse association between fruit and vegetable intake and proinflammatory markers remained statistically significant (data not shown). Moreover, we performed additional analyses including fruit juices in the categories of fruit and vegetable consumption, which did not change the interpretations. In this context, we separately analyzed the fruit juice consumption (natural orange and other natural fruit juices). The CRP and homocysteine concentrations as well as mRNA expression of IL1R1, IL6, and TNFα genes were statistically significant (P for trend < 0.05) lower in those subjects included in the third tertile of energy-adjusted fruit juice consumption (> 100 ml/d), adjusting for gender, age, BMI, energy intake, smoking habit, physical activity counts, NEFA concentration, and systolic blood pressure.

In addition, the separate regression analyses of the influence of the smoking status (never, former, and current smokers) or including the smoking habit categorized by number of cigarettes/day (1) 0-5 or ≥ 5 cigarettes/d; 2) 0-10 or ≥ 10 cigarettes/d) as covariates, produced the same outcome concerning the inflammatory markers. Finally, when we performed linear regression analysis, including the waist circumference as independent variable, the results followed the same trends and remained statistically significant (data not shown).

Discussion

A high intake of fruits and vegetables has been inversely associated with metabolic syndrome features [5,6], cardiovascular diseases [31,32], and total mortality [33], while greater values of proinflammatory markers such acute-phase proteins, cytokines, and adhesion molecules have been directly associated with chronic disorders [2,3]. In this context, the potential relationships between specific dietary factors and proinflammatory markers are being currently investigated [19-21,34]. In this context, nutrigenomic approaches have been performed as a potential useful tool to increase fundamental knowledge concerning the interactions between diet and gene expression [13,14]. Thus, this study found, apparently for first time, that healthy adults with a high consumption of fruits and vegetables had lower ICAM1, IL1R1, IL6, TNFα, and NFκB1(p50) gene expression in PBMC.

An altered expression of ILs, TNFα, ICAM1 genes and of their respective receptors in adipose tissue as well as in PBMC has been implicated in the higher risk of suffering metabolic syndrome and cardiovascular disease [3,4,35]. In addition, NFκB is a redox-sensitive transcription factor implicated in the transmission of different signals from the cytoplasm to the nucleus, which are involved in the regulation of inflammatory and immune genes, apoptosis, and cell proliferation [36]. In this regard, the activation of this transcription factor has been involved in atherosclerosis [37]. Therefore, the reported inverse association between fruits and vegetable consumption and the selected proinflammatory gene expression measurements suggest a new clinically relevant mechanism concerning the prevention of subclinical inflammation status in healthy adults by a high intake of fruits and vegetables.

In this study, we also found a statistically significant inverse association of fruit and vegetable consumption with CRP and homocysteine concentrations. These results are consistent with some earlier cross-sectional studies carried out on children and adolescents [38,39] as well as middle-age adults [7,40]. Moreover, in a randomized crossover study, the addition of vegetables to the diet has been able to reverse the increase in circulating vascular adhesion molecule-1 (VCAM1), ICAM1, IL6, and TNFα levels, as induced by a single high-fat (saturated) meal consumption [11]. Furthermore, in a randomized controlled 4-week trial, a high consumption (eight vs. two servings/day) of fruits and vegetables also significantly reduced CRP levels [12].

The anti-inflammatory mechanisms related to fruit and vegetable consumption are still unclear. Fruits and vegetables are sources of essential nutrients, which could be implicated in inflammation and oxidative stress reductions [10,41]. For example, the intake of folate, vitamin C, and magnesium, for those fruits and vegetables have relevant content, have been associated with lower homocysteine, CRP, IL6 and E-selectin concentrations [42-44]. Fruits and vegetables also are important sources of dietary fiber, which appears to have an anti-inflammatory role [10,41]. Also, dietary fiber intake could participate in weight control and favor weight loss, hypoglycemic actions and hypolipidemic effects [45]. In addition, butyrate production after the consumption of dietary fiber could have an inhibitory effect on the NFκB and a stimulatory effect on PPAR-α activation, with subsequent lower expression of ICAM1 and VCAM1 genes [46], although this mechanism deserves further research. Furthermore, fruits and vegetables contain several flavonoids and carotenoids with recognized antioxidant properties, which may play a role in the inverse relationship between intake of fruits and vegetables and inflammatory status [9,38,47]. In fact, several in vitro studies have evidenced an anti-inflammatory effect of flavonoids and carotenoids, by an inhibition of NFκB activity, through suppressing the activation-related phosphorylation, and inhibiting the nuclear translocation [48-50].

In this study, we also found inverse associations of dietary fiber and TAC with plasma concentrations and the gene expression of certain proinflammatory markers, suggesting a participation of these specific dietary factors in the beneficial effect of fruit and vegetable consumption. The gene expression of investigated proinflammatory markers had statistically significant lower values across tertiles of fruit and vegetable consumption, independently of dietary fiber and dietary TAC. In addition, the inverse associations of fruit and vegetable consumption with proinflammatory gene expression maintained the trend and the statistical significance after including others specific dietary factors such as plant protein, potassium, magnesium, total fat, polyunsaturated fatty acid and saturated fatty acid. In this context, our findings suggest that additive and synergistic effects of bioactive compounds provided by fruits and vegetables as responsible for the antioxidant and anti-inflammatory activities of these foods.

Interestingly, we found lower values to BMI, waist circumference, and blood pressure in those participants who were in the highest tertile of fruit and vegetable consumption. These results are in accordance with findings obtained in the SUN Study [5,51] and in The Dietary Approaches to Stop Hypertension (DASH) trial [52,53]. In turn, it has been also reported a positive association of proinflammatory marker concentrations and gene expression in PBMC with body fat distribution [54] in healthy young adults. Thus, the relationships between fruit/vegetable consumption and proinflammatory markers could be biased by body fat composition. When we controlled our analyses by these potential confounding factors, including BMI or waist circumference as continuous independent variables, the hypothesized associations between fruit and vegetable consumption and proinflammatory markers maintained the trend and the statistical significance, suggesting that the effects of fruit and vegetable consumption that we found in this study were not totally explained by differences in body fat variables. Our study had certain limitations. First, since the nature of this study is cross-sectional, we cannot prove that the reported associations are causal because residual confounding may have affected the observed associations. However, we controlled for the more important known factors that affect proinflammatory gene expression. Second, dietary exposures can be misclassified despite the good correlation between food frequency questionnaires and usual diet [55] but the dietary questionnaire is validated [16], and has been successfully applied to investigate the relationship between dietary factors and inflammatory markers [19-21]. Third, a higher consumption of oranges and tomatoes as well as the contribution of the remaining food items to the fruit and vegetable consumption could be influenced by the season in which the questionnaires were completed [56], although the SUN food-frequency questionnaire has presented a good reproducibility [55] in different circumstances. Fourth, although the sample size is adequate from the standpoint of initial association discovery, further replication in independent and larger samples will be convenient for a future translational application at a population level.

Conclusion

In this translational study, the fruit and vegetable consumption was inversely associated with mRNA expression of certain proinflammatory markers from PBMC in healthy young adults, suggesting a beneficial effect of high fruit and vegetable consumption on decreasing proinflammatory status and providing new light for the nutrigenomic involved-mechanisms as well as new tools for the assessment of nutrient-gene interactions.

Abbreviations

BMI: Body mass index; CRP: C-reactive protein; DASH: The Dietary Approaches to Stop Hypertension; ICAM1: intercellular adhesion molecule-1; IL1R1: interleukin-1 receptor-1; IL: interleukin; MET: activity metabolic equivalent; mRNA: messenger RNA; NEFA: non-esterified fatty acid; NFκB1: nuclear factor-nuclear-kappa-B (p50); PBMC: peripheral blood mononuclear cells; RELA: nuclear factor-nuclear-kappa-B (p65); SUN: Seguimiento Universidad de Navarra; TAC: total antioxidant capacity; TNFα: tumor necrosis factor-alpha.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

HHMH: Design, field work, data collection, analysis, and writing of the manuscript. BP: Design, field work, and data collection. MZ: project co-leader, design, financial management, and editing the manuscript. JAM: project leader, general coordination, design, financial management, and editing of the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We wish to thank our physician Blanca E. Martínez de Morentin, our nurse Salomé Pérez, and our technician Verónica Ciaurriz for excellent technical assistance. This work was supported by Health Department of the Government of Navarra (22/2007) and by Línea Especial about Nutrition, Obesity and Health (University of Navarra LE/97). The Capes Foundation, Ministry of Education of Brazil as well as IBERCAJA and ADA fellowships scheme of the University of Navarra also provided research grants to HHM Hermsdorff (no. 3756/05-0) and B Puchau, respectively.

References

  1. Hajer GR, van Haeften TW, Visseren FL: Adipose tissue dysfunction in obesity, diabetes, and vascular diseases.

    Eur Heart J 2008, 29:2959-2971. PubMed Abstract | Publisher Full Text OpenURL

  2. Zulet MA, Puchau B, Navarro C, Marti A, Martínez JA: [Inflammatory biomarkers: the link between obesity and associated pathologies].

    Nutr Hosp 2007, 22:511-527. PubMed Abstract OpenURL

  3. Van Gaal LF, Mertens IL, De Block CE: Mechanisms linking obesity with cardiovascular disease.

    Nature 2006, 444:875-880. PubMed Abstract | Publisher Full Text OpenURL

  4. Ghanim H, Aljada A, Hofmeyer D, Syed T, Mohanty P, Dandona P: Circulating mononuclear cells in the obese are in a proinflammatory state.

    Circulation 2004, 110:1564-1571. PubMed Abstract | Publisher Full Text OpenURL

  5. Alonso A, de la Fuente C, Martin-Arnau AM, de Irala J, Martínez JA, Martínez-González MA: Fruit and vegetable consumption is inversely associated with blood pressure in a Mediterranean population with a high vegetable-fat intake: the Seguimiento Universidad de Navarra (SUN) Study.

    Br J Nutr 2004, 92:311-319. PubMed Abstract | Publisher Full Text OpenURL

  6. Deshmukh-Taskar PR, O'Neil CE, Nicklas TA, Yang SJ, Liu Y, Gustat J, Berenson GS: Dietary patterns associated with metabolic syndrome, sociodemographic and lifestyle factors in young adults: the Bogalusa Heart Study.

    Public Health Nutr 2009, 12:2493-2503. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  7. Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC: Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome.

    Am J Clin Nutr 2006, 84:1489-1497. PubMed Abstract | Publisher Full Text OpenURL

  8. Rodriguez MC, Parra MD, Marques-Lopes I, De Morentin BE, Gonzalez A, Martínez JA: Effects of two energy-restricted diets containing different fruit amounts on body weight loss and macronutrient oxidation.

    Plant Foods Hum Nutr 2005, 60:219-224. PubMed Abstract | Publisher Full Text OpenURL

  9. Porrini M, Riso P, Oriani G: Spinach and tomato consumption increases lymphocyte DNA resistance to oxidative stress but this is not related to cell carotenoid concentrations.

    Eur J Nutr 2002, 41:95-100. PubMed Abstract | Publisher Full Text OpenURL

  10. Crujeiras AB, Parra MD, Rodriguez MC, Martínez de Morentin BE, Martínez JA: A role for fruit content in energy-restricted diets in improving antioxidant status in obese women during weight loss.

    Nutrition 2006, 22:593-599. PubMed Abstract | Publisher Full Text OpenURL

  11. Esposito K, Nappo F, Giugliano F, Giugliano G, Marfella R, Giugliano D: Effect of dietary antioxidants on postprandial endothelial dysfunction induced by a high-fat meal in healthy subjects.

    Am J Clin Nutr 2003, 77:139-143. PubMed Abstract | Publisher Full Text OpenURL

  12. Watzl B, Kulling SE, Moseneder J, Barth SW, Bub A: A 4-wk intervention with high intake of carotenoid-rich vegetables and fruit reduces plasma C-reactive protein in healthy, nonsmoking men.

    Am J Clin Nutr 2005, 82:1052-1058. PubMed Abstract | Publisher Full Text OpenURL

  13. Crujeiras AB, Parra D, Milagro FI, Goyenechea E, Larrarte E, Margareto J, Martínez JA: Differential expression of oxidative stress and inflammation related genes in peripheral blood mononuclear cells in response to a low-calorie diet: a nutrigenomics study.

    OMICS 2008, 12:251-261. PubMed Abstract | Publisher Full Text OpenURL

  14. Goyenechea E, Parra D, Crujeiras AB, Abete I, Martínez JA: A nutrigenomic inflammation-related PBMC-based approach to predict the weight-loss regain in obese subjects.

    Ann Nutr Metab 2009, 54:43-51. PubMed Abstract | Publisher Full Text OpenURL

  15. Sánchez-Villegas A, Delgado-Rodriguez M, Martínez-González MA, De Irala-Estevez J: Gender, age, socio-demographic and lifestyle factors associated with major dietary patterns in the Spanish Project SUN (Seguimiento Universidad de Navarra).

    Eur J Clin Nutr 2003, 57:285-292. PubMed Abstract | Publisher Full Text OpenURL

  16. Martín-Moreno JM, Boyle P, Gorgojo L, Maisonneuve P, Fernandez-Rodriguez JC, Salvini S, Willett WC: Development and validation of a food frequency questionnaire in Spain.

    Int J Epidemiol 1993, 22:512-519. PubMed Abstract | Publisher Full Text OpenURL

  17. Mataix J: Tabla de composición de alimentos. 5th edition. Granada: Universidad de Granada; 2009. OpenURL

  18. Moreiras O, Carbajal A, Cabrera L, Cuadrado C: Tabla de composición de alimentos. 10th edition. Madrid: Ediciones Pirámide; 2006. OpenURL

  19. Hermsdorff HHM, Zulet MA, Puchau B, Bressan J, Martínez JA: Association of retinol-binding protein-4 with dietary selenium intake and other lifestyle features in young healthy women.

    Nutrition 2009, 25:392-399. PubMed Abstract | Publisher Full Text OpenURL

  20. Puchau B, Zulet MA, González de Echavarri A, Hermsdorff HHM, Martínez JA: Dietary total antioxidant capacity is negatively associated with some metabolic syndrome features in healthy young adults.

    Nutrition 2010, 26:534-41. PubMed Abstract | Publisher Full Text OpenURL

  21. Zulet MA, Puchau B, Hermsdorff HHM, Navarro C, Martínez JA: Dietary selenium intake is negatively associated with serum sialic acid and metabolic syndrome features in healthy young adults.

    Nutr Res 2009, 29:41-48. PubMed Abstract | Publisher Full Text OpenURL

  22. Salas-Salvadó J, Rubio MA, Barbany M, Moreno B, SEEDO GCdl: Consenso SEEDO 2007 para la evaluación del sobrepeso y la obesidad y el establecimiento de criterios de intervención terapéutica.

    Med Clin (Barc) 2007, 128:184-196. PubMed Abstract | Publisher Full Text OpenURL

  23. Whitworth JA, Chalmers J: World health organisation-international society of hypertension (WHO/ISH) hypertension guidelines.

    Clin Exp Hypertens 2004, 26:747-752. PubMed Abstract | Publisher Full Text OpenURL

  24. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

    Diabetologia 1985, 28:412-419. PubMed Abstract | Publisher Full Text OpenURL

  25. Puchau B, Hermsdorff HHM, Zulet MA, Martínez JA: DDAH2 mRNA expression is inversely associated with some cardiovascular risk-related features in healthy young adults.

    Dis Markers 2009, 27:37-44. PubMed Abstract | Publisher Full Text OpenURL

  26. Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

    Methods 2001, 25:402-408. PubMed Abstract | Publisher Full Text OpenURL

  27. Milagro FI, Campion J, Martínez JA: 11-Beta hydroxysteroid dehydrogenase type 2 expression in white adipose tissue is strongly correlated with adiposity.

    J Steroid Biochem Mol Biol 2007, 104:81-84. PubMed Abstract | Publisher Full Text OpenURL

  28. Ching PL, Willett WC, Rimm EB, Colditz GA, Gortmaker SL, Stampfer MJ: Activity level and risk of overweight in male health professionals.

    Am J Public Health 1996, 86:25-30. PubMed Abstract | PubMed Central Full Text OpenURL

  29. Martínez-González MA, López-Fontana C, Varo JJ, Sánchez-Villegas A, Martínez JA: Validation of the Spanish version of the physical activity questionnaire used in the Nurses' Health Study and the Health Professionals' Follow-up Study.

    Public Health Nutr 2005, 8:920-927. PubMed Abstract | Publisher Full Text OpenURL

  30. Willett WC: Nutritional Epidemiology. 2nd edition. New York: Oxford University Press; 1998. OpenURL

  31. Dauchet L, Amouyel P, Hercberg S, Dallongeville J: Fruit and vegetable consumption and risk of coronary heart disease: a meta-analysis of cohort studies.

    J Nutr 2006, 136:2588-2593. PubMed Abstract | Publisher Full Text OpenURL

  32. Wannamethee SG, Lowe GD, Rumley A, Bruckdorfer KR, Whincup PH: Associations of vitamin C status, fruit and vegetable intakes, and markers of inflammation and hemostasis.

    Am J Clin Nutr 2006, 83:567-574.

    quiz 726-567

    PubMed Abstract | Publisher Full Text OpenURL

  33. Agudo A, Cabrera L, Amiano P, Ardanaz E, Barricarte A, Berenguer T, Chirlaque MD, Dorronsoro M, Jakszyn P, Larranaga N, et al.: Fruit and vegetable intakes, dietary antioxidant nutrients, and total mortality in Spanish adults: findings from the Spanish cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC-Spain).

    Am J Clin Nutr 2007, 85:1634-1642. PubMed Abstract | Publisher Full Text OpenURL

  34. Hermsdorff HHM, Zulet MA, Abete I, Martínez JA: Discriminated benefits of a Mediterranean dietary pattern within a hypocaloric diet program on plasma RBP4 concentrations and other inflammatory markers in obese subjects.

    Endocrine 2009, 36:445-451.

    doi:410.1007/s12020-12009-19248-12021

    PubMed Abstract | Publisher Full Text OpenURL

  35. Hotamisligil GS: Inflammation and metabolic disorders.

    Nature 2006, 444:860-867. PubMed Abstract | Publisher Full Text OpenURL

  36. de Winther MP, Kanters E, Kraal G, Hofker MH: Nuclear factor kappaB signaling in atherogenesis.

    Arterioscler Thromb Vasc Biol 2005, 25:904-914. PubMed Abstract | Publisher Full Text OpenURL

  37. Kutuk O, Basaga H: Inflammation meets oxidation: NF-kappaB as a mediator of initial lesion development in atherosclerosis.

    Trends Mol Med 2003, 9:549-557. PubMed Abstract | Publisher Full Text OpenURL

  38. Holt EM, Steffen LM, Moran A, Basu S, Steinberger J, Ross JA, Hong CP, Sinaiko AR: Fruit and vegetable consumption and its relation to markers of inflammation and oxidative stress in adolescents.

    J Am Diet Assoc 2009, 109:414-421. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  39. Qureshi MM, Singer MR, Moore LL: A cross-sectional study of food group intake and C-reactive protein among children.

    Nutr Metab (Lond) 2009, 6:40. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  40. Oliveira A, Rodriguez-Artalejo F, Lopes C: The association of fruits, vegetables, antioxidant vitamins and fibre intake with high-sensitivity C-reactive protein: sex and body mass index interactions.

    Eur J Clin Nutr 2009, 63:1345-1352. PubMed Abstract | Publisher Full Text OpenURL

  41. Bressan J, Hermsdorff HHM, Zulet MA, Martínez JA: [Hormonal and inflammatory impact of different dietetic composition: emphasis on dietary patterns and specific dietary factors].

    Arq Bras Endocrinol Metabol 2009, 53:572-581. PubMed Abstract | Publisher Full Text OpenURL

  42. Helmersson J, Arnlov J, Larsson A, Basu S: Low dietary intake of beta-carotene, alpha-tocopherol and ascorbic acid is associated with increased inflammatory and oxidative stress status in a Swedish cohort.

    Br J Nutr 2008, 1-8. OpenURL

  43. Ma Y, Griffith JA, Chasan-Taber L, Olendzki BC, Jackson E, Stanek EJ, Li W, Pagoto SL, Hafner AR, Ockene IS: Association between dietary fiber and serum C-reactive protein.

    Am J Clin Nutr 2006, 83:760-766. PubMed Abstract | PubMed Central Full Text OpenURL

  44. Stea TH, Mansoor MA, Wandel M, Uglem S, Frolich W: Changes in predictors and status of homocysteine in young male adults after a dietary intervention with vegetables, fruits and bread.

    Eur J Nutr 2008, 47:201-209. PubMed Abstract | Publisher Full Text OpenURL

  45. Galisteo M, Duarte J, Zarzuelo A: Effects of dietary fibers on disturbances clustered in the metabolic syndrome.

    J Nutr Biochem 2008, 19:71-84. PubMed Abstract | Publisher Full Text OpenURL

  46. Zapolska-Downar D, Siennicka A, Kaczmarczyk M, Kolodziej B, Naruszewicz M: Butyrate inhibits cytokine-induced VCAM-1 and ICAM-1 expression in cultured endothelial cells: the role of NF-kappaB and PPARalpha.

    J Nutr Biochem 2004, 15:220-228. PubMed Abstract | Publisher Full Text OpenURL

  47. Pan MH, Lai CS, Dushenkov S, Ho CT: Modulation of inflammatory genes by natural dietary bioactive compounds.

    J Agric Food Chem 2009, 57:4467-4477. PubMed Abstract | Publisher Full Text OpenURL

  48. Bai SK, Lee SJ, Na HJ, Ha KS, Han JA, Lee H, Kwon YG, Chung CK, Kim YM: beta-Carotene inhibits inflammatory gene expression in lipopolysaccharide-stimulated macrophages by suppressing redox-based NF-kappaB activation.

    Exp Mol Med 2005, 37:323-334. PubMed Abstract | Publisher Full Text OpenURL

  49. Crespo I, Garcia-Mediavilla MV, Gutierrez B, Sanchez-Campos S, Tunon MJ, Gonzalez-Gallego J: A comparison of the effects of kaempferol and quercetin on cytokine-induced pro-inflammatory status of cultured human endothelial cells.

    Br J Nutr 2008, 100:968-976. PubMed Abstract | Publisher Full Text OpenURL

  50. Ruiz PA, Braune A, Holzlwimmer G, Quintanilla-Fend L, Haller D: Quercetin inhibits TNF-induced NF-kappaB transcription factor recruitment to proinflammatory gene promoters in murine intestinal epithelial cells.

    J Nutr 2007, 137:1208-1215. PubMed Abstract | Publisher Full Text OpenURL

  51. Bes-Rastrollo M, Martínez-González MA, Sanchez-Villegas A, de la Fuente Arrillaga C, Martínez JA: Association of fiber intake and fruit/vegetable consumption with weight gain in a Mediterranean population.

    Nutrition 2006, 22:504-511. PubMed Abstract | Publisher Full Text OpenURL

  52. Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, Bray GA, Vogt TM, Cutler JA, Windhauser MM, et al.: A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group.

    New England Journal of Medicine 1997, 336:1117-1124. PubMed Abstract | Publisher Full Text OpenURL

  53. Ascherio A, Hennekens C, Willett WC, Sacks F, Rosner B, Manson J, Witteman J, Stampfer MJ: Prospective study of nutritional factors, blood pressure, and hypertension among US women.

    Hypertension 1996, 27:1065-1072. PubMed Abstract | Publisher Full Text OpenURL

  54. Hermsdorff HHM, Puchau B, Zulet MA, Martínez JA: Association of body fat distribution with proinflammatory gene expression in peripheral blood mononuclear cells from young adult subjects.

    OMICS 2010, 14:1-11.

    doi:10.1089/omi.2009.0125

    PubMed Abstract | Publisher Full Text OpenURL

  55. de la Fuente-Arrillaga C, Vazquez Ruiz Z, Bes-Rastrollo M, Sampson L, Martinez-Gonzalez MA: Reproducibility of an FFQ validated in Spain.

    Public Health Nutr 2010, 1-9.

    doi:10.1017/S1368980009993065

    PubMed Abstract | Publisher Full Text OpenURL

  56. Capita R, Alonso-Calleja C: Differences in reported winter and summer dietary intakes in young adults in Spain.

    Int J Food Sci Nutr 2005, 56:431-443. PubMed Abstract | Publisher Full Text OpenURL