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Article

Evaluation of Agraz Consumption on Adipocytokines, Inflammation, and Oxidative Stress Markers in Women with Metabolic Syndrome

by
Juliana Espinosa-Moncada
1,
Catalina Marín-Echeverri
1,
Yeisson Galvis-Pérez
1,
Gelmy Ciro-Gómez
1,
Juan C. Aristizábal
2,
Christopher N. Blesso
3,
Maria Luz Fernandez
3 and
Jacqueline Barona-Acevedo
1,*
1
Food and therapeutic alternatives area, Ophidism Program; School of Microbiology, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín 050010, Colombia
2
Research Group PHYSIS, School of Nutrition and Dietetics, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín 050010, Colombia
3
Department of Nutritional Sciences, University of Connecticut, Storrs, CT 06269, USA
*
Author to whom correspondence should be addressed.
Nutrients 2018, 10(11), 1639; https://doi.org/10.3390/nu10111639
Submission received: 2 October 2018 / Revised: 23 October 2018 / Accepted: 24 October 2018 / Published: 2 November 2018
(This article belongs to the Special Issue Dietary Anthocyanins and Human Health)
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Abstract

:
Metabolic syndrome (MetS) is characterized by increased oxidative stress and a pro-inflammatory state. Vaccinium meridionale Swartz (known as “agraz”) is a berry rich in polyphenolic compounds with demonstrated antioxidant activity and anti-inflammatory effects in preclinical studies. The aim of this study was to evaluate the effects of agraz consumption on inflammatory and oxidative stress markers in women with MetS. Forty women with MetS (47 ± 9 years) were randomly assigned to consume daily either 200 mL of agraz nectar or placebo over four weeks in a double-blind, cross-over design study, separated by a 4-week washout period. Metabolic and inflammatory markers in serum and antioxidant/oxidative stress markers in serum and urine were assessed at the end of each period. Serum antioxidant capacity measured by the 2,2-diphenyl-1-picrylhydrazyl (DPPH) method was significantly higher (p = 0.028), while urinary 8-hydroxy-2′-deoxyguanosine (8-OHdG) was lower (p = 0.041) after agraz consumption, compared to placebo. In conclusion, consumption of agraz during four weeks increased serum antioxidant capacity and decreased a marker of DNA oxidative damage in women with MetS, compared to placebo. These results suggest that agraz consumption may play a protective role in patients with MetS.

1. Introduction

The metabolic syndrome (MetS) is a group of risk factors associated with obesity, hypertension, and insulin resistance (IR), which collectively increase the risk for developing type 2 diabetes (T2D) (5-fold) and cardiovascular disease (CVD) (2-fold) [1]. CVD is the leading cause of mortality in the world [2] and in Colombia [3]. The prevalence of MetS in most countries varies between 20% and 30% in the adult population depending on the geographical location and the criteria used for diagnosis [4,5]. In the United States, the general prevalence of MetS is 33%, being significantly higher in women compared to men (35.6% vs. 30.3%, respectively) [6]. In Colombia, there are no reports of MetS prevalence, but some studies have reported a prevalence between 12.3% to 41% in adults from different cities [7,8,9]; with a similar prevalence between men (39.3%) and women (40.7%) in Medellin [10].
MetS includes central obesity, systemic hypertension, insulin resistance, and dyslipidemia (hypertriglyceridemia and low high-density lipoprotein cholesterol (HDL-c)). In addition, MetS is associated with accelerated atherosclerosis in response to chronic inflammation and vascular endothelial dysfunction [4]. This pro-inflammatory environment results from the activation of mediators such as (tumor necrosis factor alpha (TNF-α) and interleukin-6 (IL-6)), plasminogen activator inhibitor-1 (PAI-1), and C-reactive protein (CRP), which act in a variety of organs, but mainly liver and adipose tissue. Importantly, it has been demonstrated that CRP concentrations independently predict the occurrence of future CVD events [11,12]. Increased systemic oxidative stress characterized by increases in free radicals is also observed in MetS [13]. Oxidative stress is associated with endothelial dysfunction and systemic inflammation, and induces oxidative damage to lipids, proteins, and DNA [14]. The effects of oxidative stress can be measured via 8-isoprostane generation, resulting from membrane lipid oxidation of body tissues, and it is associated with the development of CVD [15]. Another marker of oxidative damage affecting DNA is 8-hydroxy-2′-deoxyguanosine (8-OHdG), which is produced from oxidation of guanine and reflects the balance between oxidative damage and repair rate. Urinary 8-OHdG has been proposed as an indicator of oxidative damage [16].
Other important characteristic of MetS is the imbalance in the profile of adipocytokines produced by adipose tissue. Adiponectin has antiatherogenic effects [17], via improving insulin sensitivity, hyperglycemia, and inflammation [18]. Leptin and resistin are also related to obesity, insulin resistance, and inflammation [19,20]. Individuals with MetS generally present high circulating concentrations of resistin and leptin, inducing leptin resistance and a decrease in adiponectin associated with insulin resistance [20].
Currently, the first line treatment for MetS is lifestyle changes such as dietary modifications, increasing physical activity, reduction in alcohol and tobacco consumption, and increased fruit and vegetable consumption [12,21]. When lifestyle changes are not enough, it is necessary to use medications to treat each component of the MetS; however, this may come with unwanted side effects of polymedication and contributes to the high costs of healthcare systems, representing a public health problem that needs to be ameliorated [22]. Therefore, it is crucial to identify strategies targeting these multiple risk factors associated with MetS to improve population health and to mitigate secondary effects, which is the goal of the World Health Organization in order to reduce the incidence and mortality from CVD and T2D [23].
Regular consumption of fruits and vegetables has been associated with a lower prevalence of CVD and mortality [24,25], the benefits have been attributed in part to the content of polyphenolic compounds, such as anthocyanins, present in these foods. Different studies have shown that polyphenols exhibit anti-inflammatory and antioxidant effects, among others [26,27]. Berries in particular, are fruits rich in these compounds and their chronic consumption has demonstrated multiple positive effects on metabolism [28,29,30].
The berry Vaccinium meridionale Swartz is a native plant from the Andean region of South America, growing on mountain hillsides between 2200 and 3400 m above sea level [31]. In Colombia, this fruit is called “agraz” and it has generated significant interest in the food and pharmaceutical industries due to its antioxidant, anti-inflammatory, and anticarcinogenic potential [32,33]. Thus, it might have the ability to modulate MetS risk factors [34]. Recent studies reported cardioprotective effects of an extract from this berry (V. meridionale) in rodents [35,36]. However, there is very limited information about its potential human health benefits. Therefore, the aim of this study was to evaluate the effects of agraz consumption on inflammatory and oxidative stress markers in women with MetS. We hypothesized that compared to placebo, agraz would decrease inflammation/oxidative stress markers in these volunteers.

2. Materials and Methods

2.1. Experimental Design

Forty women (n = 40; 28–66 years old) classified with MetS, according to the revised American Diabetes Association-National Cholesterol Education Program (AHA-NCEP)-ATPIII definition [37], were recruited to participate in this study. According to this definition of MetS, participants must have 3 out of 5 of the following characteristics: waist circumference (WC) ≥ 88 cm, blood pressure (BP) ≥ 130/85 mm Hg, plasma triglycerides (TG) ≥ 150 mg/dL, HDL-c < 50 mg/dL, and fasting plasma glucose ≥ 100 mg/dL. Since there are no previous studies in people consuming this fruit, the sample size estimation and the time of supplementation were based on data from two previous studies following a similar protocol as this study, in which blood pressure, plasma triglyceride, low-density lipoprotein cholesterol (LDL-c), oxidative stress, and inflammatory markers were reduced significantly after grape supplementation (a fruit rich in polyphenols), compared to placebo [38,39]. The exclusion criteria were kidney disease, CVD, TG ≥ 500 mg/dL, fasting blood glucose ≥ 126 mg/dL or having diabetes, LDL-c ≥ 190 mg/dL, and BP > 140/90 mm Hg. In addition, individuals were excluded if they were taking lipid-lowering, hypoglycemic and anti-hypertensive medications, acetylsalicylic acid, warfarin or other anticoagulants, ibuprofen, clopidogrel, naproxen, dipyridamole, and any other nonsteroidal anti-inflammatory drug, as well as undergoing hormone replacement therapy, consuming >20 g per day of alcohol, cigarette smoking, being pregnant or planning to become pregnant, being a high performance athlete, and/or consumption of supplements or nutraceuticals.
The Human Bioethical Committee of the University Research Headquarters, University of Antioquia, approved the study with the Act No. 15-35-558-02. All participants signed the informed consent before entering the study. The first participant entering the study was randomly assigned to consume either agraz or placebo; the rest of the participants were assigned in such an order that each consumption period began with the same number of participants, in a double-blinded crossover experimental design over 12 weeks. The placebo was designed to match the agraz in terms of look, feel, taste, and macronutrients, but without polyphenols. The composition of agraz nectar and placebo is presented in Table 1 and it has been previously described [40]. Following 4 weeks of consuming agraz or placebo, participants underwent a 4-week washout period and were allocated to the alternate treatment for the next 4 weeks. The daily dose of agraz was calculated taking into account the total content of phenols in 200 g of fresh fruit. The corresponding amount of lyophilized agraz and placebo was reconstituted in 200 mL of drinkable water. Participants were asked to abstain from consuming polyphenol-rich foods, including tea, berries, grapes, and wine, during the whole study, in addition to maintaining their level and type of physical activity and usual diet throughout the study. To monitor the adherence to the study, participants completed weekly questionnaires asking about timing and days of consumption of the product and if any prohibited food had been consumed, for which they needed an adherence greater than 80% to continue in the study. Additionally, participants completed physical activity and dietary registries at the beginning and last week of each consumption period (agraz and placebo). The adherence and physical activity registries and food frequency questionnaire were adapted from Barona et al. [39] and Monsalve et al. [41], respectively.

2.2. Anthropometrics: Body Weight, Height, Body Mass Index (BMI), and Waist Circumference (WC)

Body weight was measured to the nearest 0.1 kg on a calibrated digital scale (Seca 813, Seca, Chino, CA, USA). Height was measured to the nearest 0.1 cm using a portable stadiometer (Seca 213, Seca, Chino, CA, USA). BMI (kg/m2) was calculated to classify participants [42]. WC was measured at the upper border of the iliac crest to the nearest 0.1 cm using a non-stretching body measuring tape over the skin (Lufkin W606PM, Crescent Tools, MD, USA), at the beginning and end of each period.

2.3. Blood Pressure (BP)

Systolic and diastolic BP were measured in the left arm at the level of the heart after at least 5 min of resting in sitting position and using an automated BP monitor (Omron Healthcare Inc., Hoffman Estates, IL, USA). At least two measurements were made separated by 1 min and the mean value was used.

2.4. Blood and Urine Collection

After a 12-h overnight fast, blood was drawn from the antecubital vein using dry tubes (Vacutainer®, Franklin Lakes, NJ, USA) which were allowed to stand for 30 min and centrifuged at 2000× g for 10 min. Serum was aliquoted and frozen at −70 °C until analysis. Urine samples were collected for 24 h without preservatives and kept in refrigeration during collection. The urine was aliquoted and stored at −70 °C until analysis.

2.5. Blood Lipids, Glucose and Insulin, and Urinary Creatinine

Fasting blood lipids (total cholesterol, HDL-c, non-HDL-c, and TG) and glucose, and urinary creatinine were measured in an automatic analyzer (SIEMENS, Washington, DC, USA). LDL-c concentration was calculated using the Friedewald formula [43]. For the determination of insulin, a sandwich immunoassay was employed with direct chemiluminescence technology (SIEMENS, Washington, DC, USA) in an automated analyzer. Atherogenic indexes of plasma were calculated based on the literature [44,45].

2.6. Index of Insulin Resistance

The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) was calculated using the free software HOMA calculator V2.2.3 (Diabetes Trial Unit, University of Oxford, Headington, Oxford, UK). The QUICKI index was calculated using the formula Quicki = 1/[log insulin (mUI/L) + log glucose in fasting (mg/dL)] [46].

2.7. Inflammation Markers and Adipocytokines

Levels of high sensitive CRP (hs-CRP) were measured using the turbidimetric immunoassay technique (SIEMENS, Washington, DC, USA). Serum adiponectin, leptin, and resistin were measured using the human adipocyte magnetic panel kit (Millipore Sigma, Burlington, MA, USA), using Luminex xMAP® technology (Millipore Sigma) and following the manufacturer’s instructions.

2.8. Total Phenols Concentration and Antioxidant Capacity

The serum of the patients was deproteinized by the method of Serafini et al. [47] with modifications. Total phenols were determined in deproteinized serum using the methodology described by Singleton V. L. et al. by the Folin–Ciocalteu method [48], the values were calculated from a calibration curve with gallic acid (GA) and the results were expressed as mg of GA equivalents (GAE)/L. Antioxidant capacity was determined by the free radical method 2,2-Diphenyl-1-Picrylhydrazyl (DPPH). DPPH scavenging activity was measured using a modification of the method described by Chrzczanowicz et al. [49], using deproteinized serum and control (mix of the reagent to deproteinize without serum). The scavenging effect (Sc%) of DPPH was calculated using the following formula. Sc% = (1 − (A517 serum sample/A517 control)) × 100.

2.9. Oxidative Stress Markers

The determination of thiobarbituric acid reactive substances (TBARS) was carried out with the TBARS (Trichloroacetic acid method) Assay Kit (Cayman Chemical, Ann Arbor, MI, USA) using a colorimetric standard and following manufacturer’s recommendations. The measurement of F2-isoprostanes in 24-h urine was performed with the OxiSelect™ 8-iso-prostaglandin F2α ELISA kit (Cell Biolabs, Inc., San Diego, CA, USA). A competitive Elisa kit was used to measure 8-OHdG in 24-h urine (Abcam, Cambridge, MA, USA). Urinary creatinine was used as a control for the 24-h urine collection and to normalize the values of urinary F2-isoprostanes and 8-OHdG, which are presented as ng/mg creatinine.

2.10. Statistical Analysis

The Shapiro–Wilk normality test was used to determine the distribution of the variables. For those showing a normal distribution, a t-test was performed for paired samples and for non-normally distributed variables, the Wilcoxon test was used to analyze the differences between the periods of agraz and placebo. Pearson’s and Spearman’s correlation coefficients were used to evaluate associations between quantitative variables measured in agraz or placebo periods according to their distribution. A p-value ≤ 0.05 was considered significant. These analyses were carried out using SPSS software version 24.0 for Windows (IBM Corporation, Armonk, NY, USA, 2016). Results are presented as median (interquartile range—IQR) and mean ± standard deviation-SD.

3. Results

Participants maintained their usual diet and physical activity, and their body weight was constant throughout the study. Adherence to the study was greater than 90%. Thus, the obtained results were not associated with weight loss, changes in the composition (quantity and quality) of the diet, or changes in energy expenditure.

3.1. MetS Criteria and Participant Characteristics

The mean age of participants was 47.3 ± 9.4 years. All women were overweight or obese (BMI 29.4 (3.8) Kg/m2) and had abdominal obesity (99.4 (10.2) cm). Low HDL-c (42 ± 6.4 mg/dL) was also present in most women (92.5%). High fasting glucose was the least frequent parameter in the population (17.5%) (Figure 1). At the beginning of the study, the percentage of participants having three, four, or five MetS criteria was 62.5%, 35%, and 2.5%, respectively. At the end of the agraz consumption period, 22.5% of the women had only one or two MetS criteria, that is, they no longer had MetS. Following agraz consumption, it was observed that TG, total cholesterol, LDL-c, and non-HDL-c tended to be lower than placebo, but it was not statistically significant (Table 2). Regarding physical activity and diet, no statistically significant differences were found between the periods (data not shown).

3.2. Antioxidant Capacity and Oxidative Stress Markers

Antioxidant capacity measured by DPPH was higher after agraz consumption compared to placebo (+2.08 ± 5.75, p = 0.028). The concentration of 8-OHdG oxidation marker was significantly lower after consuming agraz (−0.27 ± 0.72, p = 0.041) (Table 3). No statistically significant differences were found between periods in total phenols, TBARS or F2-isoprostanes.

3.3. Insulin Resistance and Inflammatory Markers

The concentration of markers of insulin resistance and inflammation were not different after agraz compared to placebo period (Table 4). However, the median of hs-CRP was 21.9% lower (although no significant, p = 0.103) after agraz consumption compared to the median of placebo. Additionally, compared to placebo, a statistically significant decrease in hs-CRP values was found after agraz period in women who met three MetS criteria (−1.06 ± 2.52 mg/L, p = 0.011) but not in those with four or more criteria at the beginning of the study (0.36 ± 1.47 mg/L, p = 0.36) (Figure 2). No statistically significant differences were found in the concentration of other inflammatory markers and adipocytokines.

3.4. Correlations

A positive correlation was found between plasma TG levels and TBARS in the period of placebo consumption (r = 0.355, p = 0.025), but this correlation lost significance after agraz consumption (r = 0.206; p = 0.209). Furthermore, after agraz consumption there was a positive correlation between the levels of HDL-c and adiponectin (r = 0.385; p = 0.019). Interestingly, this correlation was not observed after placebo period (Figure 3).

4. Discussion

The increased consumption of fruits and vegetables has shown to improve different parameters of MetS, which is attributed in large part to the polyphenolic compounds present in these foods with antioxidant, anti-inflammatory, and anticancer activities (reviewed previously [50]). In our study, the consumption of agraz nectar for four weeks, compared to placebo, significantly decreased the oxidative marker 8-OHdG in the participants. These results may be associated with the significant increase in serum antioxidant capacity measured by the DPPH radical after the agraz period. In contrast, McAnulty et al. (2011) found no significant differences in the DNA oxidation assay (8-OHdG) after supplementation with blueberries and placebo plus exercise (stress condition), but they did find a significant decrease in F2-isoprostanes in the group receiving blueberry treatment [51].
Results reported after supplementation with fruits rich in polyphenols are controversial. Novotny et al. (2015) examined the effects of consuming cranberry juice low in calories plus a diet modification during eight weeks in men and women with obesity and cardiovascular risk. Compared to the control group (only diet modification), plasma levels of TG were lower in patients who consumed juice, especially in patients who had higher TG concentrations at the beginning of treatment [52]. In addition, plasma hs-CRP concentration, fasting glucose, and diastolic blood pressure were lower in the group consuming juice compared to the control group. Consumption of this cranberry juice also had a beneficial effect on HOMA for participants with high baseline values for this marker. These findings suggested that cranberry juice could improve some risk factors associated with CVD in overweight adults in addition to the effects of the diet alone (control group) [52]. In contrast, Kolehmainen et al. (2012) measured the impact of V. myrtillus (bilberry) consumption during eight weeks, on inflammation and gene expression profile in peripheral blood mononuclear cells isolated from 27 subjects with MetS. Participants were randomly assigned to a diet rich in V. myrtillus supplied as 200 g of puree and 40 g of dried fruit or to the control diet group. No significant differences were found between the two groups in terms of body weight, blood pressure, plasma glucose concentration, or measures of lipid metabolism; whereas in the group undergoing treatment with V. myrtillus, a tendency to decrease the concentration of hs-CRP and some proinflammatory cytokines was observed. The authors concluded that regular V. myrtillus consumption can reduce inflammation, and thus, decrease long-term cardiometabolic risk [53]. Similarly, we found lower values of TG, total cholesterol, LDL-c, and hs-CRP after consuming agraz compared to placebo, but these differences were not significant. It would be necessary to explore a higher dose and/or increase the time of supplementation to evaluate whether significant differences would be observed in these markers.
Previous studies have shown that hs-CRP concentrations are related to the number of MetS components [54,55], with higher levels of hs-CRP as MetS components increase. After analyzing women by components of MetS, values of hs-CRP decreased significantly after agraz consumption, compared to placebo in women having three MetS parameters at baseline, but not in those with four or five parameters; suggesting a more preventive effect of this fruit in those with less severe forms of MetS. Several studies have found an association between consumption of cranberry and blueberries and a decrease on hs-CRP and other inflammation markers [56,57]. This could be explained by the ability of polyphenols to modulate the nuclear transcription factor kappa B (NFκB) pathway, a critical transcription factor implicated in the regulation of oxidative stress and the inflammatory response [58]. Karlsen et al. (2010), after supplementing with V. myrtillus, compared to control, reported a reduction in hs-CRP and some pro-inflammatory cytokines by modulation of NFκB [59]. Conversely, Soltani et al. (2016) found that compared to placebo, an encapsulated extract rich in anthocyanins from V. arctostaphylos L. consumed during four weeks had no effect on hs-CRP levels, but it significantly reduced total cholesterol and TG concentrations [60].
The relationship between high TG, inflammation, and increased systemic oxidative stress is well known [61]. In our study, we observed a moderate positive correlation between the concentration of TG and concentration of TBARS during the placebo period, but this correlation was not significant after consuming agraz. These results suggest that agraz consumption may help to decrease the relationship between high TG and elevated markers of lipid peroxidation. An intervention with pomegranate juice for six weeks showed that consumption of this polyphenol-rich fruit managed to decrease the concentration of arachidonic acid and levels of TBARS in blood [62]. In addition, a study with juice and smoothies rich in anthocyanins during two weeks showed a significant decrease, compared to placebo, in different markers of oxidative stress, including TBARS [63]. Although there are no other studies reporting TBARS measurement after agraz supplementation in humans, previous in vitro studies have shown the ability of agraz to inhibit lipid peroxidation in corn oils [64]. The presence of a high concentration of anthocyanins in agraz could be associated with this antioxidant activity [31,65].
The experimental evidence indicates that adiponectin has antiatherogenic, anti-inflammatory, and antidiabetic properties [66,67,68]. In addition, previous studies have shown a negative correlation between adiponectin and TG concentrations and a positive correlation with HDL-c in young patients, demonstrating an association between this adipocytokine and dyslipidemia [69]. Interestingly, we found a moderate positive correlation between HDL-c and adiponectin, but only in the period of agraz consumption. Some investigations suggest that antioxidants can regulate adiponectin expression through a reduction of oxidative stress [70,71]. Diets that increase antioxidant capacity have been reported to also increase plasma adiponectin. This might be related to an adiponectin-mediated route through which antioxidant-rich foods can exert beneficial effects against inflammation and CVD [72]. Indeed, adiponectin expression seems to be increased under stimuli of several dietary polyphenols [73,74,75]. Additionally, it has been reported that anthocyanin supplementation improves HDL-c and enhances cellular cholesterol efflux to serum [76]. Reports of interventions with fruits rich in polyphenolic compounds have shown a positive effect in adipocytokines, especially adiponectin [77,78]. Simão et al. (2013) found that consumption of cranberry juice significantly increased serum adiponectin concentrations compared to baseline and placebo in patients with MetS [79]. We found an increase in almost 1 µg/mL in adiponectin after agraz consumption, although this was not significant, it has been reported that an increase in 1 µg/mL is associated with a decrease in 3% in CVD risk [80]. Additionally, Kowalska et al. (2015) found that after administering a lyophilisate of cranberry (Oxycoccus quadripetalus) to cell culture of 3T3-L1 adipocytes, there was an increase in the expression of the adiponectin gene and protein secretion in a dose-dependent manner [81]. They finally concluded that berries could be considered as a source of bioactive factors with the ability to modulate gene expression and inhibiting abnormal production of molecules by adipose tissue.
In summary, our results suggest that chronic consumption of agraz in women with MetS decreases oxidative damage in DNA, possibly through a mechanism dependent on the increase in serum antioxidant capacity promoted by agraz. In addition, in women with three components of MetS, the consumption of this fruit reduced hs-CRP levels compared to placebo, but not in women with four or more components, suggesting a protective role in inflammation in less severe cases of MetS. Finally, important correlations with markers involved in lipid peroxidation and antiatherogenic molecules were observed after agraz consumption; supporting the potential of this Colombian fruit to modulate CVD risk factors.
This is one of the first studies evaluating the effects of this fruit in humans. Although the current sample size may have prevented us from finding other significant results, the dose and appearance (nectar) used represented the consumption of agraz in a usual Colombian diet. Due to the astringent flavor of agraz, a more concentrated nectar was not palatable for volunteers. However, more studies are needed to evaluate higher doses and time of supplementation in people at high risk for CVD.

Author Contributions

Conceptualization, J.B.-A. and M.L.F.; Methodology, J.B.-A. and M.L.F.; Validation, J.B.-A.; Formal Analysis, J.B.-A.; J.C.A.; G.C.-G.; J.E.-M.; C.M.-E.; and Y.G.-P.; Investigation, J.B.-A.; J.C.A.; G.C.-G.; and C.M.-E.; Y.G.-P. did the intervention and performed experiments; J.E.-M. performed experiments; resources, J.B.-A.; M.L.F; and C.N.B.; data curation, J.B.-A.; J.E.-M.; C.M.-E.; and Y.G.-P.; Writing—original draft preparation, J.E.-M.; and J.B.-A.; Writing—review and editing, J.B.-A.; J.C.A; M.L.F.; C.N.B.; and C.M.-E.; Visualization, J.E.-M.; Supervision, J.B.-A.; Project Administration, J.B.-A.; Funding Acquisition, J.B.-A.

Funding

This research was funded by Departamento Administrativo de Ciencia, Tecnología e Innovación—Colciencias, grant number 111565740563, Contract No. 657; and University of Antioquia UdeA, Medellin-Colombia.

Acknowledgments

We thank all the volunteers who were willing to participate in the study.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Fanning, E.; O’Shea, D. Genetics and the metabolic syndrome. Clin. Dermatol. 2018, 36, 9–13. [Google Scholar] [CrossRef] [PubMed]
  2. World Health Organization. Health Statistics and Information Systems Estimates for 2000–2015; WHO World Health Organization: Geneva, Switzerland, 2017; Available online: http://www.who.int/healthinfo/global_burden_disease/estimates/en/index1.html (accessed on 11 May 2018).
  3. Gaviria Uribe, A.; Davila, C.; Correa, E.; Burgos, L.F.; Girón, B.C.; Vargas, S.L. Análisis de Situación de Salud (ASIS) Colombia, 2016. Minist Salud y Protección Soc. 2016, 1–163. Available online: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/ED/PSP/asis-colombia-2016.pdf (accessed on 11 May 2018).
  4. Grundy, S.M. Metabolic syndrome pandemic. Arterioscler Thromb. Vasc. Biol. 2008, 28, 629–636. [Google Scholar] [CrossRef] [PubMed]
  5. McCracken, E.; Monaghan, M.; Sreenivasan, S. Pathophysiology of the metabolic syndrome. Clin. Dermatol. 2018, 36, 14–20. [Google Scholar] [CrossRef] [PubMed]
  6. Aguilar, M.; Bhuket, T.; Torres, S.; Liu, B.; Wong, R.J. Prevalence of the metabolic syndrome in the United States, 2003–2012. JAMA 2015, 313, 1973–1974. [Google Scholar] [CrossRef] [PubMed]
  7. Pinzón, J.B.; Serrano, N.C.; Díaz, L.A.; Mantilla, G.; Velasco, H.M.; Martínez, L.X.; Millán, P.A.; Acevedo, S.M.; Moreno, D. Impacto de las nuevas definiciones en la prevalencia del síndrome metabólico en una población adulta de Bucaramanga, Colombia. Biomédica 2007, 27, 172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Paternina-Caicedo, Á.J.; Alcalá-Cerra, G.; Paillier-Gonzales, J.; Romero-Zarante, Á.M.; Alvis-Guzmán, N. Concordancia de tres definiciones de síndrome metabólico en pacientes hipertensos. Rev. Salud Públ. 2009, 11, 898–908. [Google Scholar] [CrossRef] [Green Version]
  9. Rincon-Peña, O.; Gamarra-Hernandez, G.; Jerez-Rodriguez, H.V.-C.L. Valoración del riesgo cardiovascular global y prevalencia de síndrome metabólico en trabajadores de la salud del Hospital Universitario Ramón González Valencia. Acta Med. Colomb. 2004, 29, 312–321. [Google Scholar]
  10. Davila, E.P.; Quintero, M.A.; Orrego, M.L.; Ford, E.S.; Walke, H.; Arenas, M.M.; Pratt, M. Prevalence and risk factors for metabolic syndrome in Medellin and surrounding municipalities, Colombia, 2008–2010. Prev. Med. (Baltim). 2013, 56, 30–34. [Google Scholar] [CrossRef] [PubMed]
  11. Kaur, J. A comprehensive review on metabolic syndrome. Cardiol. Res. Pract. 2014. [Google Scholar] [CrossRef] [PubMed]
  12. Grundy, S.M. Metabolic syndrome update. Trends Cardiovasc. Med. 2016, 26, 364–373. [Google Scholar] [CrossRef] [PubMed]
  13. Luna-Luna, M.; Medina-Urrutia, A.; Vargas-Alarcón, G.; Coss-Rovirosa, F.; Vargas-Barrón, J.; Pérez-Méndez, Ó. Adipose Tissue in Metabolic Syndrome: Onset and Progression of Atherosclerosis. Arch. Med. Res. 2015, 46, 392–407. [Google Scholar] [CrossRef] [PubMed]
  14. Bonomini, F.; Rodella, L.F.; Rezzani, R. Metabolic Syndrome, Aging and Involvement of Oxidative Stress. Aging Dis. 2015, 6, 109. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Kurti, S.P.; Emerson, S.R.; Rosenkranz, S.K.; Teeman, C.S.; Emerson, E.M.; Cull, B.J.; Smith, J.R.; Harms, C.A. Post-prandial systemic 8-isoprostane increases after consumption of moderate and high-fat meals in insufficiently active males. Nutr. Res. 2017, 39, 61–68. [Google Scholar] [CrossRef] [PubMed]
  16. Cooke, M.S.; Evans, M.D.; Burd, R.M.; Patel, K.; Barnard, A.; Lunec, J.; Hutchinson, P.E. Induction and excretion of ultraviolet-induced 8-oxo-2′-deoxyguanosine and thymine dimers in vivo: Implications for PUVA. J. Investig. Dermatol. 2001, 116, 281–285. [Google Scholar] [CrossRef] [PubMed]
  17. Shibata, R.; Ouchi, N.; Ohashi, K.; Murohara, T. The role of adipokines in cardiovascular disease. J. Cardiol. 2017, 70, 329–334. [Google Scholar] [CrossRef] [PubMed]
  18. Fasshauer, M.; Blüher, M. Adipokines in health and disease. Trends Pharmacol. Sci. 2015, 36, 461–470. [Google Scholar] [CrossRef] [PubMed]
  19. Blüher, M.; Mantzoros, C.S. From leptin to other adipokines in health and disease: Facts and expectations at the beginning of the 21st century. Metabolism 2015, 64, 131–145. [Google Scholar] [CrossRef] [PubMed]
  20. Leal, V.O.; Mafra, D. Adipokines in obesity. Clin. Chim. Acta 2013, 419, 87–94. [Google Scholar] [CrossRef] [PubMed]
  21. Samson, S.L.; Garber, A.J. Metabolic syndrome. Endocrinol. Metab. Clin. N. Am. 2014, 43, 1–23. [Google Scholar] [CrossRef] [PubMed]
  22. Lin, J.; Zhuo, X.; Bardenheier, B.; Rolka, D.B.; Gregg, W.E.; Hong, Y.; Wang, G.; Albright, A.; Zhang, P. Cost-effectiveness of the 2014 U.S. Preventive Services Task Force (USPSTF) Recommendations for Intensive Behavioral Counseling Interventions for Adults With Cardiovascular Risk Factors. Diabetes Care 2017, 40, dc161186. [Google Scholar] [CrossRef] [PubMed]
  23. World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020; World Health Organization: Geneva, Switzerland, 2013; Available online: http://apps.who.int/iris/bitstream/10665/94384/1/9789241506236_eng.pdf (accessed on 25 May 2018).
  24. Chong, M.F.-F.; Macdonald, R.; Lovegrove, J.A. Fruit polyphenols and CVD risk: A review of human intervention studies. Br. J. Nutr. 2010, 104 (Suppl. S3), S28–S39. [Google Scholar] [CrossRef] [PubMed]
  25. Mohamed, S. Functional foods against metabolic syndrome (obesity, diabetes, hypertension and dyslipidemia) and cardiovasular disease. Trends Food Sci. Technol. 2014, 35, 114–128. [Google Scholar] [CrossRef]
  26. Amiot, M.J.; Riva, C.; Vinet, A. Effects of dietary polyphenols on metabolic syndrome features in humans: A systematic review. Obes. Rev. 2016, 17, 573–586. [Google Scholar] [CrossRef] [PubMed]
  27. Chiva-Blanch, G.; Badimon, L. Effects of Polyphenol Intake on Metabolic Syndrome: Current Evidences from Human Trials. Oxid. Med. Cell. Longev. 2017. [Google Scholar] [CrossRef] [PubMed]
  28. Yang, B.; Kortesniemi, M. Clinical evidence on potential health benefits of berries. Curr. Opin. Food Sci. 2015, 2, 36–42. [Google Scholar] [CrossRef]
  29. Del Bo’, C.; Martini, D.; Porrini, M.; Klimis-Zacas, D.; Riso, P. Berries and oxidative stress markers: An overview of human intervention studies. Food Funct. 2015, 6, 2890–2917. [Google Scholar] [CrossRef] [PubMed]
  30. Prencipe, F.P.; Bruni, R.; Guerrini, A.; Rossi, D.; Benvenuti, S.; Pellati, F. Metabolite profiling of polyphenols in Vaccinium berries and determination of their chemopreventive properties. J. Pharm. Biomed. Anal. 2014, 89, 257–267. [Google Scholar] [CrossRef] [PubMed]
  31. Garzón, G.A.; Narváez, C.E.; Riedl, K.M.; Schwartz, S.J. Chemical composition, anthocyanins, non-anthocyanin phenolics and antioxidant activity of wild bilberry (Vaccinium meridionale Swartz) from Colombia. Food Chem. 2010, 122, 980–986. [Google Scholar] [CrossRef]
  32. Isabel, C.Z.V.; Susana, O.; Mariacutea, E.M.; Arley, D.Z.Z.; Benjamiacuten, R. Cytotoxic effect and antioxidant activity of Andean berry (Vaccinium meridionale Sw) wine. J. Med. Plants Res. 2016, 10, 402–408. [Google Scholar] [CrossRef]
  33. Agudelo, C.D.; Luzardo-Ocampo, I.; Campos-Vega, R.; Loarca-Piña, G.; Maldonado, M. Bioaccessibility during in vitro digestion and antiproliferative effect of bioactive compounds from Andean berry (Vaccinium meridionale Swartz) juice. J. Agric. Food Chem. 2018, 66, 7358–7366. [Google Scholar] [CrossRef] [PubMed]
  34. Riso, P.; Klimis-Zacas, D.; Del Bo, C.; Martini, D.; Campolo, J.; Vendrame, S.; Møller, P.; Loft, S.; De Maria, R.; Porrini, M. Effect of a wild blueberry (Vaccinium angustifolium) drink intervention on markers of oxidative stress, inflammation and endothelial function in humans with cardiovascular risk factors. Eur. J. Nutr. 2013, 52, 949–961. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Lopera, Y.E.; Fantinelli, J.; Arbelaez, L.; Ez, L.F.; Rojano, B.; Schinella, G.; Mosca, S. Antioxidant Activity and Cardioprotective Effect of a Nonalcoholic Extract of Vaccinium meridionale Swartz during Ischemia-Reperfusion in Rats. Evid.-Based Complement. Altern. Med. 2013. [Google Scholar] [CrossRef] [PubMed]
  36. Shen, M.; Li, K.; Jing, H.; Zheng, L. In Vivo Therapeutic Effect of Vaccinium Meridionale Swartz in Ischemia-Reperfusion Induced Male Albino Rats. J. Food Sci. 2018, 83, 221–228. [Google Scholar] [CrossRef] [PubMed]
  37. Grundy, S.M.; Brewer, H.B.; Cleeman, J.I.; Smith, S.C.; Lenfant, C. Definition of Metabolic Syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association Conference on Scientific Issues Related to Definition. Circulation 2004, 109, 433–438. [Google Scholar] [CrossRef] [PubMed]
  38. Zern, T.L.; Wood, R.J.; Greene, C.; West, K.L.; Liu, Y.; Aggarwal, D.; Shachter, N.S.; Fernandez, M.L. Grape Polyphenols Exert a Cardioprotective Effect in Pre- and Postmenopausal Women by Lowering Plasma Lipids and Reducing Oxidative Stress. J. Nutr. 2005, 135, 1911–1917. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Barona, J.; Aristizabal, J.C.; Blesso, C.N.; Volek, J.S.; Fernandez, M.L. Grape Polyphenols Reduce Blood Pressure and Increase Flow-Mediated Vasodilation in Men with Metabolic Syndrome. J. Nutr. 2012, 142, 1626–1632. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Quintero-Quiroz, J.; Galv-Pérez, Y.; Galeano-Vásquez, S.; Marín-Echeisverri, C.; Franco-Escobar, C.; Ciro-Gómez, G.; Núñez-Rangel, V.; Aristizábal-Rivera, J.C.; Barona-Acevedo, J. Physico-chemical characterization and antioxidant capacity of the Colombian berry (Vaccinium meridionale Swartz) with a high-polyphenol content: Potential effects in people with metabolic syndrome. Food Sci. Technol. 2018. under review. [Google Scholar]
  41. Monsalve, J.M.; Zapata, L.I.G. Development of questionnaire to assess food intake in the University of Antioquia, Colombia. [“Diseño de un cuestionario de frecuencia para evaluar ingesta alimentaria en la Universidad de Antioquia, Colombia.]. Nutr. Hosp. 2011, 26, 1333–1344. [Google Scholar]
  42. World Health Organization. Global Database on Body Mass Index—World Health Organization; World Health Organization: Geneva, Switzerland, 2006; Available online: http://www.assessmentpsychology.com/icbmi.htm (accessed on 30 August 2018).
  43. Knopfholz, J.; Disserol, C.C.D.; Pierin, A.J.; Schirr, F.L.; Streisky, L.; Takito, L.L.; Massucheto Ledesma, P.; Faria-Neto, J.R.; Olandoski, M.; da Cunha, C.L.; et al. Validation of the friedewald formula in patients with metabolic syndrome. Cholesterology 2014, 2014, 11–13. [Google Scholar]
  44. Niroumand, S.; Khajedaluee, M.; Khadem-Rezaiyan, M.; Abrishami, M.; Juya, M.; Khodaee, G.; Dadgarmoghaddam, M. Atherogenic Index of Plasma (AIP): A marker of cardiovascular disease. Med. J. Islam. Repub. Iran. 2015, 29, 627–635. [Google Scholar]
  45. Dobiasova, M.; Frohlich, J. The new atherogenic plasma index reflects the triglyceride and HDL-cholesterol ratio, the lipoprotein particle size and the cholesterol esterification rate: Changes during lipanor therapy. Vnitr. Lek. 2000, 46, 152–156. [Google Scholar] [PubMed]
  46. Katz, A.; Nambi, S.S.; Mather, K.; Baron, A.D.; Follmann, D.A.; Sullivan, G.; Quon, M.J. Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessiong Insulin Sensitivity in Humans. J. Clin. Endocrinol. Metab. 2000, 85, 2402–2410. [Google Scholar] [CrossRef] [PubMed]
  47. Serafini, M.; Maiani, G.; Ferro-Luzzi, A. Alcohol-Free Red Wine Enhances Plasma Antioxidant Capacity in Humans. J. Nutr. 1998, 128, 1003–1007. [Google Scholar] [CrossRef] [PubMed]
  48. Singleton, V.L.; Orthofer, R.; Lamuela-Raventós, R.M. Analysis of total phenols and other oxidation substrates and antioxidants by means of folin-ciocalteu reagent. Methods Enzymol. 1999, 299, 152–178. [Google Scholar]
  49. Chrzczanowicz, J.; Gawron, A.; Zwolinska, A.; De Graft-Johnson, J.; Krajewski, W.; Krol, M.; Markowski, J.; Kostka, T.; Nowak, D. Simple method for determining human serum 2,2-diphenyl-1-picryl-hydrazyl (DPPH) radical scavenging activity—Possible application in clinical studies on dietary antioxidants. Clin. Chem. Lab. Med. 2008, 46, 342–349. [Google Scholar] [CrossRef] [PubMed]
  50. Li, D.; Wang, P.; Luo, Y.; Zhao, M.; Chen, F. Health benefits of anthocyanins and molecular mechanisms: Update from recent decade. Crit. Rev. Food Sci. Nutr. 2017, 57, 1729–1741. [Google Scholar] [CrossRef] [PubMed]
  51. McAnulty, L.S.; Nieman, D.C.; Dumke, C.L.; Shooter, L.A.; Henson, D.A.; Utter, A.C.; Milne, G.; McAnulty, S.R. Effect of blueberry ingestion on natural killer cell counts, oxidative stress, and inflammation prior to and after 2.5 h of running. Appl. Physiol. Nutr. MeTable 2011, 36, 976–984. [Google Scholar] [CrossRef] [PubMed]
  52. Novotny, J.A.; Baer, D.J.; Khoo, C.; Gebauer, S.K.; Charron, C.S. Cranberry juice consumption lowers markers of cardiometabolic risk, including blood pressure and circulating C-reactive protein, triglyceride, and glucose concentrations in adults. J. Nutr. 2015, 145, 1185–1193. [Google Scholar] [CrossRef] [PubMed]
  53. Kolehmainen, M.; Mykkänen, O.; Kirjavainen, P.V.; Leppänen, T.; Moilanen, E.; Adriaens, M.; Laaksonen, D.E.; Hallikainen, M.; Puupponen-Pimiä, R.; Pulkkinen, L.; et al. Bilberries reduce low-grade inflammation in individuals with features of metabolic syndrome. Mol. Nutr. Food Res. 2012, 56, 1501–1510. [Google Scholar] [CrossRef] [PubMed]
  54. Sattar, N.; Gaw, A.; Scherbakova, O.; Ford, I.; O’Reilly, D.S.J.; Haffner, S.M.; Isles, C.; Macfarlane, P.W.; Packard, C.J.; Cobbe, S.M.; et al. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation 2003, 108, 414–419. [Google Scholar] [CrossRef] [PubMed]
  55. Ridker, P.M.; Buring, J.E.; Cook, N.R.; Rifai, N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: An 8-year follow-up of 14,719 initially healthy American women. Circulation 2003, 107, 391–397. [Google Scholar] [CrossRef] [PubMed]
  56. Duffey, K.J.; Sutherland, L.A. Adult consumers of cranberry juice cocktail have lower C-reactive protein levels compared with nonconsumers. Nutr. Res. 2015, 35, 118–126. [Google Scholar] [CrossRef] [PubMed]
  57. Panahi, Y.; Hosseini, M.S.; Khalili, N.; Naimi, E.; Majeed, M.; Sahebkar, A. Antioxidant and anti-inflammatory effects of curcuminoid-piperine combination in subjects with metabolic syndrome: A randomized controlled trial and an updated meta-analysis. Clin. Nutr. 2015, 34, 1101–1108. [Google Scholar] [CrossRef] [PubMed]
  58. Jeong, J.W.; Lee, W.S.; Shin, S.C.; Kim, G.Y.; Choi, B.T.; Choi, Y.H. Anthocyanins downregulate lipopolysaccharide-induced inflammatory responses in BV2 microglial cells by suppressing the NF-κB and Akt/MAPKs signaling pathways. Int. J. Mol. Sci. 2013, 14, 1502–1515. [Google Scholar] [CrossRef] [PubMed]
  59. Karlsen, A.; Paur, I.; Bohn, S.K.; Sakhi, A.K.; Borge, G.I.; Serafini, M.; Erlund, I.; Laake, P.; Tonstad, S.; Blomhoff, R. Bilberry juice modulates plasma concentration of NF-kB related inflammatory markers in subjects at increased risk of CVD. Eur. J. Nutr. 2010, 49, 345–355. [Google Scholar] [CrossRef] [PubMed]
  60. Soltani, R.; Hakimi, M.; Asgary, S.; Ghanadian, S.M.; Keshvari, M.; Sarrafzadegan, N. Evaluation of the effects of Vaccinium arctostaphylos L. Fruit extract on serum lipids and hs-CRP levels and oxidative stress in adult patients with hyperlipidemia: A randomized, double-blind, placebo-controlled clinical trial. Evid. Based Complement. Alternat. Med. 2014. [Google Scholar] [CrossRef] [PubMed]
  61. Eckel, R.H.; Grundy, S.M.; Zimmet, P.Z. The metabolic syndrome. Lancet 2005, 365, 1415–1428. [Google Scholar] [CrossRef]
  62. Kojadinovic, M.; Arsic, A.; Debeljak-Martacic, J.; Konic-Ristic, A.; Kardum, N.; Popovic, T.; Glibetic, M.D. Consumption of pomegranate juice decreases blood lipid peroxidation and levels of arachidonic acid in women with metabolic syndrome. J. Sci. Food Agric. 2016, 97, 1798–1804. [Google Scholar] [CrossRef] [PubMed]
  63. Kuntz, S.; Kunz, C.; Herrmann, J.; Borsch, C.H.; Abel, G.; Fröhling, B.; Dietrich, H.; Rudloff, S. Anthocyanins from fruit juices improve the antioxidant status of healthy young female volunteers without affecting anti-inflammatory parameters: Results from the randomised, double-blind, placebo-controlled, cross-over ANTHONIA (ANTHOcyanins in Nutrition Investigation Alliance) study. Br. J. Nutr. 2014, 112, 925–936. [Google Scholar] [PubMed]
  64. Carlos, A.G.M.; Clara, O.O.; Nelly, S.M.; Clara, M.C.; Mario, L.A.; Paula, G.G.; Ana, M.M. Actividad antioxidante e inhibición de la peroxidación lipídica de extractos de frutos de mortiño (Vaccinium meridionale SW). Bol. Latinoam y del Caribe Plantas Med. y Aromat. 2009, 8, 519–528. [Google Scholar]
  65. Bravo, K.; Alzate, F.; Osorio, E. Fruits of selected wild and cultivated Andean plants as sources of potential compounds with antioxidant and anti-aging activity. Ind. Crops Prod. 2016, 85, 341–352. [Google Scholar] [CrossRef]
  66. Okamoto, Y.; Kihara, S.; Funahashi, T.; Matsuzawa, Y.; Libby, P. Adiponectin: A key adipocytokine in metabolic syndrome. Clin. Sci. 2006, 110, 267–278. [Google Scholar] [CrossRef] [PubMed]
  67. Okamoto, Y.; Kihara, S.; Ouchi, N.; Nishida, M.; Arita, Y.; Kumada, M.; Ohashi, K.; Sakai, N.; Shimomura, I.; Kobayashi, H.; et al. Adiponectin reduces atherosclerosis in apolipoprotein E-deficient mice. Circulation 2002, 106, 2767–2770. [Google Scholar] [CrossRef] [PubMed]
  68. Ouchi, N.; Kihara, S.; Arita, Y.; Nishida, M. Lipid Accumulation and Class A Scavenger Receptor. Circulation 2001, 103, 1057–1063. [Google Scholar] [CrossRef] [PubMed]
  69. Kazumi, T.; Kawaguchi, A.; Hirano, T.; Yoshino, G. Serum Adiponectin Is Associated with High-Density Lipoprotein Cholesterol, Triglycerides, and Low-Density Lipoprotein Particle Size in Young Healthy Men. Metabolism 2004, 53, 589–593. [Google Scholar] [CrossRef] [PubMed]
  70. Kamigaki, M.; Sakaue, S.; Tsujino, I.; Ohira, H.; Ikeda, D.; Itoh, N.; Ishimaru, S.; Ohtsuka, Y.; Nishimura, M. Oxidative stress provokes atherogenic changes in adipokine gene expression in 3T3-L1 adipocytes. Biochem. Biophys. Res. Commun. 2006, 339, 624–632. [Google Scholar] [CrossRef] [PubMed]
  71. Furukawa, S.; Fujita, T.; Shimabukuro, M.; Iwaki, M.; Yamada, Y.; Nakajima, Y.; Nakayama, O.; Makishima, M.; Matsuda, M.; Shimomura, I. Increased oxidative stress in obesity and its impact on metabolic syndrome. J. Clin. Investig. 2004, 114, 1752–1761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Detopoulou, P.; Panagiotakos, D.B.; Chrysohoou, C.; Fragopoulou, E.; Nomikos, T.; Antonopoulou, S.; Pitsavos, C.; Stefanadis, C. Dietary antioxidant capacity and concentration of adiponectin in apparently healthy adults: The ATTICA study. Eur. J. Clin. Nutr. 2010, 64, 161–168. [Google Scholar] [CrossRef] [PubMed]
  73. Terra, X.; Montagut, G.; Bustos, M.; Llopiz, N.; Ardèvol, A.; Bladé, C.; Fernández-Larrea, J.; Pujadas, G.; Salvadó, J.; Arola, L.; et al. Grape-seed procyanidins prevent low-grade inflammation by modulating cytokine expression in rats fed a high-fat diet. J. Nutr. Biochem. 2009, 20, 210–218. [Google Scholar] [CrossRef] [PubMed]
  74. Vincent, H.K.; Bourguignon, C.M.; Vincent, K.R.; Weltman, A.L.; Bryant, M.; Taylor, A.G. Antioxidant supplementation lowers exercise-induced oxidative stress in young overweight adults 1565. Obesity (Silver Spring) 2006, 14, 2224–2235. [Google Scholar] [CrossRef] [PubMed]
  75. Cho, S.Y.; Park, P.J.; Shin, H.J.; Kim, Y.-K.; Shin, D.W.; Shin, E.S.; Lee, H.H.; Lee, B.G.; Baik, J.H.; Lee, T.R. (−)-Catechin suppresses expression of Kruppel-like factor 7 and increases expression and secretion of adiponectin protein in 3T3-L1 cells. AJP Endocrinol. Metab. 2006, 292, E1166–E1172. [Google Scholar] [CrossRef] [PubMed]
  76. Qin, Y.; Xia, M.; Ma, J.; Hao, Y.; Liu, J. Anthocyanin supplementation improves serum LDL-and HDL-cholesterol concentrations associated with the inhibition of cholesteryl ester transfer protein in dyslipidemic subjects. Am. J. Clin. Nutr. 2009, 90, 485–492. [Google Scholar] [CrossRef] [PubMed]
  77. Barona, J.; Blesso, C.N.; Andersen, C.J.; Lee, J.; Fernandez, M.L. Grape Consumption Increases Anti-Inflammatory Markers and Upregulates Peripheral Nitric Oxide Synthase in the Absence of Dyslipidemias in Men with Metabolic Syndrome. Nutrients 2012, 2, 1945–1957. [Google Scholar] [CrossRef] [PubMed]
  78. Mulero, J.; Bernabé, J.; Cerdá, B.; García-Viguera, C.; Moreno, D.A.; Albaladejo, M.D.; Avilés, F.; Parra, S.; Abellán, J.; Zafrilla, P. Variations on cardiovascular risk factors in metabolic syndrome after consume of a citrus-based juice. Clin Nutr. 2012, 31, 372–377. [Google Scholar] [CrossRef] [PubMed]
  79. Simão, T.N.C.; Lozovoy, M.A.B.; Simão, A.N.C.; Oliveira, S.R.; Venturini, D.; Morimoto, H.K.; Miglioranza, L.H.; Dichi, I. Reduced-energy cranberry juice increases folic acid and adiponectin and reduces homocysteine and oxidative stress in patients with the metabolic syndrome. Br. J. Nutr. 2013, 110, 1885–1894. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Zhou, Y.; Zhang, J.; Zhang, W.; Ni, Z. Association of adiponectin with peripheral arterial disease and mortality in nondiabetic hemodialysis patients: Long-term follow-up data of 7 years. J. Res. Med. Sci. 2016, 21, 50. [Google Scholar] [PubMed]
  81. Kowalska, K.; Olejnik, A.; Rychlik, J.; Grajek, W. Cranberries (Oxycoccus quadripetalus) inhibit lipid metabolism and modulate leptin and adiponectin secretion in 3T3-L1 adipocytes. Food Chem. 2015, 185, 383–388. [Google Scholar] [CrossRef] [PubMed]
Nutrients 10 01639 g001 550
Figure 1. Baseline clinical and anthropometric characteristics of women with metabolic syndrome [according to ATP-III guidelines (37)]. HDL-c: high-density lipoprotein cholesterol. D-BP: diastolic blood pressure. S-BP: systolic blood.
Figure 1. Baseline clinical and anthropometric characteristics of women with metabolic syndrome [according to ATP-III guidelines (37)]. HDL-c: high-density lipoprotein cholesterol. D-BP: diastolic blood pressure. S-BP: systolic blood.
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Figure 2. High sensitive C-reactive Protein (hs-CRP) levels in patients who presented three and four+ metabolic syndrome (MetS) parameters after placebo and agraz consumption. Values are presented as mean ± standard deviation. * Significance p ≤ 0.05.
Figure 2. High sensitive C-reactive Protein (hs-CRP) levels in patients who presented three and four+ metabolic syndrome (MetS) parameters after placebo and agraz consumption. Values are presented as mean ± standard deviation. * Significance p ≤ 0.05.
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Figure 3. Spearman correlations between the concentrations of Triglycerides and TBARS (A) and HDL-c and adiponectin (B) after agraz and placebo consumption in women with MetS. * p ≤ 0.05 is considered significant. r: correlation coefficient.
Figure 3. Spearman correlations between the concentrations of Triglycerides and TBARS (A) and HDL-c and adiponectin (B) after agraz and placebo consumption in women with MetS. * p ≤ 0.05 is considered significant. r: correlation coefficient.
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Table
Table 1. Phytochemical composition and nutrient analysis of the freeze-dried agraz, nectar, and placebo.
Table 1. Phytochemical composition and nutrient analysis of the freeze-dried agraz, nectar, and placebo.
Nutrient/CompoundFreeze-Dried AgrazNectar (Reconstituted from Freeze-Dried Agraz in 200 mL)Placebo
(200 mL)
Macronutrients
Calories per dose (Kcal)ND26 ± 0.1821.86 ± 0.21
Total carbohydrate (%)78.85 ± 0.192.08 ± 0.192.50 ± 0.19
Protein (%)1.39 ± 0.250.05 ± 0.010.21 ±0.05
Phytochemicals
Total Phenols (mg GAE/g of freeze-dried or L)139.29 ± 5.691027.97 ± 41.9931.91 ± 3.15
Anthocyanins (mg CE/g) a4.66NDND
Anthocyanins (mg/L) bND75.65ND
ND, non-determined. GAE, gallic acid equivalents; CE, cyanidin equivalents. a Freeze-dried agraz anthocyanins were analyzed using high performance liquid chromatography diode array detection (HPLC-DAD). b Nectar anthocyanins were measured by differential pH.
Table
Table 2. Changes in anthropometric and biochemical variables in women with metabolic syndrome after consuming agraz compared to placebo.
Table 2. Changes in anthropometric and biochemical variables in women with metabolic syndrome after consuming agraz compared to placebo.
VariablesPlaceboAgrazΔ (Agraz-Placebo)p
nMean or Median ± SD or IQR (p25-p75)nMean or Median ± SD or IQR (p25-p75)Mean or Median ± SD or IQR (p25-p75)
Weight (Kg) a4076.6 ± 11.64076.6 ± 11.6−0.05 ± 0.90.756
Body Mass Index (Kg/mt2) b4029.8 (4.26)4029.9 (3.87)−0.11 (0.64)0.975
Waist circumference (cm) b4098.7 (9.43)4098.5 (10.23)−0.2 (3.87)0.185
Systolic blood pressure (mm Hg) a40115.4 ± 12.540116.0 ± 11.80.5 ± 8.60.692
Diastolic blood pressure (mm Hg) a4074.8 ± 8.04075.1 ± 9.50.3 ± 5.20.73
Fasting glucose (mg/dL) a4096.8 ± 8.14095.9 ± 8.0−0.9 ± 0.30.291
Triglycerides (mg/dL) b39197.61 (104.59)39193.82 (105.32)−9.79 (110.53)0.759
Total cholesterol (mg/dL) a40219.6 ± 43.340216.1 ± 45.1−3.5 ± 38.70.574
HDL cholesterol (mg/dL) a4041.6 ± 6.44041.7 ± 6.80.9 ± 4.40.905
LDL cholesterol (mg/dL) a36137.9 ± 39.336132.2 ± 42.1−5.7 ± 35.10.339
Non-HDL cholesterol (mg/dL) a39177.3 ± 42.339174.5 ± 44.3−2.8 ± 38.20.649
TG/HDL-c index b394.45 (2.81)394.84 (3.55)−0.23 (3.57)0.606
TC/HDL-c index a405.35 ± 1.2405.27 ± 1.2−0.09 ± 0.90.565
LDL-c/HDL-c index a363.29 ± 0.96363.17 ± 0.95−0.12 ± 0.80.357
a Paired T; b Wilcoxon; SD: Standard deviation; IQR: Interquartile range; Significance p ≤ 0.05. TG: triglycerides. TC: total cholesterol. HDL: high-density lipoprotein cholesterol. LDL: Low-density lipoprotein cholesterol.
Table
Table 3. Changes in antioxidant capacity and oxidation markers in women with metabolic syndrome after agraz consumption compared to placebo.
Table 3. Changes in antioxidant capacity and oxidation markers in women with metabolic syndrome after agraz consumption compared to placebo.
VariablesPlaceboAgrazΔ (Agraz-Placebo)p
nMean or Median ± SD or IQR
(p25-p75)		nMean or Median ± SD or IQR
(p25-p75)		Mean or Median ± SD or IQR
(p25-p75)
DPPH (% Scavenging effect) a4010.55 ± 6.194012.63 ± 7.472.08 ± 5.750.028 *
Total phenols mgGA/L b40297.29 (57.29)40331.88 (56.04)7.92 (72.70)0.279
TBARS b400.89 (0.39)400.92 (0.45)0.04 (0.42)0.402
F2-Isoprostanes (ng/mg creatinine) b352.86 (3.97)353.03 (3.41)0.11 (3.39)0.863
OHdG (ng/mg creatinine) a351.97 ± 0.66351.66 ± 0.5−0.27 ± 0.720.041 *
a Paired T; b Wilcoxon; SD: Standard deviation; IQR: Interquartile range; * Significance p ≤ 0.05. DPPH: 2,2-Diphenyl-1-Picrylhydrazyl; TBARS: Thiobarbituric acid reactive substances; 8-OHdG: 8-hydroxy-2′-deoxyguanosine.
Table
Table 4. Changes in markers of insulin resistance and inflammation in women with metabolic syndrome after agraz consumption compared to placebo.
Table 4. Changes in markers of insulin resistance and inflammation in women with metabolic syndrome after agraz consumption compared to placebo.
VariablesPlaceboAgrazΔ (Agraz-Placebo)p
nMean or Median ± SD or IQR (p25-p75)nMean or Median ± SD or IQR (p25-p75)Mean or Median ± SD or IQR (p25-p75)
Insulin (mUI/L) b3916.34 (13.03)3915.0 (14.01)0.26 (4.91)0.922
HOMA 2 index b382.33 (1.83)402.21 (1.8)0.02 (0.66)0.577
QUICKI index a390.314 ± 0.024390.315 ± 0.0240.0 ± 0.0120.714
hs-CRP (mg/L) b374.8 (2.81)373.75 (2.80)−0.54 (2.5)0.103
Adiponectin (ug/mL) b3712.75 (14.53)3713.23 (11.38)0.89 (4.43)0.225
Resistin (ng/mL) a3831.96 ± 7.773833.84 ± 10.11.88 ± 9.450.229
Leptin (ng/mL) a383.58 ± 1.52383.58 ± 1.660.025 ± 0.760.986
a Paired T; b Wilcoxon; SD: Standard deviation; IQR: Interquartile range; Significance p ≤ 0.05. hs-CRP: high-sensitive C-reactive protein.

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Espinosa-Moncada, J.; Marín-Echeverri, C.; Galvis-Pérez, Y.; Ciro-Gómez, G.; Aristizábal, J.C.; Blesso, C.N.; Fernandez, M.L.; Barona-Acevedo, J. Evaluation of Agraz Consumption on Adipocytokines, Inflammation, and Oxidative Stress Markers in Women with Metabolic Syndrome. Nutrients 2018, 10, 1639. https://doi.org/10.3390/nu10111639

AMA Style

Espinosa-Moncada J, Marín-Echeverri C, Galvis-Pérez Y, Ciro-Gómez G, Aristizábal JC, Blesso CN, Fernandez ML, Barona-Acevedo J. Evaluation of Agraz Consumption on Adipocytokines, Inflammation, and Oxidative Stress Markers in Women with Metabolic Syndrome. Nutrients. 2018; 10(11):1639. https://doi.org/10.3390/nu10111639

Chicago/Turabian Style

Espinosa-Moncada, Juliana, Catalina Marín-Echeverri, Yeisson Galvis-Pérez, Gelmy Ciro-Gómez, Juan C. Aristizábal, Christopher N. Blesso, Maria Luz Fernandez, and Jacqueline Barona-Acevedo. 2018. "Evaluation of Agraz Consumption on Adipocytokines, Inflammation, and Oxidative Stress Markers in Women with Metabolic Syndrome" Nutrients 10, no. 11: 1639. https://doi.org/10.3390/nu10111639

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