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Li Y, Xu Y, Le Sayec M, Kamarunzaman NNZ, Wu H, Hu J, Li S, Gibson R, Rodriguez-Mateos A. Development of a food frequency questionnaire for the estimation of dietary (poly)phenol intake. Food Funct 2024; 15:10414-10433. [PMID: 39320369 DOI: 10.1039/d4fo03546a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/26/2024]
Abstract
Background: (Poly)phenol intake has been associated with reduced risk of non-communicable diseases in epidemiological studies. However, there are currently no dietary assessment tools specifically developed to estimate (poly)phenol intake in the UK population. Objectives: This study aimed to develop a novel food frequency questionnaire (FFQ) to capture the dietary (poly)phenol intake in the UK and assess its relative validity with 7 day diet diaries (7DDs) and plasma and urine (poly)phenol metabolites. Methods: The KCL (poly)phenol FFQ (KP-FFQ) was developed based on the existing EPIC (European Prospective Investigation into Diet and Cancer)-Norfolk FFQ, which has been validated for energy and nutrient intake estimation in the UK population. Participants aged 18-29 years (n = 255) completed both the KP-FFQ and the EPIC-Norfolk FFQ. In a subgroup (n = 60), 7DD, spot urine, and fasting plasma samples were collected. An in-house (poly)phenol database was used to estimate (poly)phenol intake from FFQs and 7DDs. Plasma and urinary (poly)phenol metabolite levels were analysed using a validated ultra-high-performance liquid chromatography-triple quadrupole mass spectrometry method. The agreements between (poly)phenol intake estimated using the KP-FFQ, EPIC-Norfolk FFQ and 7DDs, as well as plasma and urinary biomarkers, were evaluated by intraclass correlation coefficients (ICC), weighted kappa, quartile cross-classification, and Spearman's correlations, and the associations were investigated using linear regression models adjusting for energy intake and multiple testing (false discovery rate (FDR) < 0.05). Results: The mean (standard deviation, SD) of total (poly)phenol intake estimated from KP-FFQs was 1366.5 (1151.7) mg d-1. Fair agreements were observed between ten (poly)phenol groups estimated from KP-FFQs and 7DDs (kappa: 0.41-0.73), including total (poly)phenol intake (kappa = 0.45), while the agreements for the rest of the 17 classes and subclasses were poor (kappa: 0.07-0.39). Strong positive associations with KP-FFQ were found in ten (poly)phenols estimated from 7DDs, including dihydroflavonols, theaflavins, thearubigins, flavones, isoflavonoids, ellagitannins, hydroxyphenylacetic acids, total stilbenes, resveratrol, and tyrosols with stdBeta ranged from 0.61 (95% confidence interval CI: 0.42 to 0.81) to 0.95 (95% CI: 0.86 to 1.03) (all FDR adjusted p < 0.05). KP-FFQs estimated (poly)phenol intake exhibited positive associations with 76 urinary metabolites (stdBeta: 0.28 (95% CI: 0.07-0.49) to 0.81 (0.62-1.00)) and 19 plasma metabolites (stdBeta: 0.40 (0.17-0.62)-0.83 (0.64-1.02)) (all FDR p < 0.05). The agreement between KP-FFQs and the EPIC-Norfolk FFQs was moderate (ICC 0.51-0.69) for all (poly)phenol subclasses after adjusting for energy intake. Compared with the EPIC-Norfolk FFQs estimated (poly)phenol intake, stronger and more agreements and associations were found in KP-FFQs estimated (poly)phenol with 7DDs and biomarkers. Conclusion: (Poly)phenol intake estimated from KP-FFQ exhibited fair agreements and moderate to strong associations with 7DDs and biomarkers, indicating the novel questionnaire may be a promising tool to assess dietary (poly)phenol intake.
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Affiliation(s)
- Yong Li
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Yifan Xu
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Melanie Le Sayec
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Nur Najiah Zaidani Kamarunzaman
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Haonan Wu
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Jiaying Hu
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Shan Li
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Rachel Gibson
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Ana Rodriguez-Mateos
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
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Wang S, Hu Y, Liu B, Li Y, Wang M, Sun Q. Lignan Intake and Type 2 Diabetes Incidence Among US Men and Women. JAMA Netw Open 2024; 7:e2426367. [PMID: 39110458 PMCID: PMC11307137 DOI: 10.1001/jamanetworkopen.2024.26367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 06/09/2024] [Indexed: 08/10/2024] Open
Abstract
Importance Lignans are phytoestrogens abundant in Western diets and may be associated with type 2 diabetes (T2D) risk. Objective To prospectively investigate associations between lignan intake and T2D incidence. Design, Setting, and Participants Population-based cohort study of US men and women enrolled in the Nurses' Health Study (NHS, 1984-2018), NHSII (1991-2019), and Health Professionals Follow-Up Study (HPFS, 1986-2020), as well as 496 participants from the Men's Lifestyle Validation Study (MLVS). Participants were free of T2D, cardiovascular disease, and cancer at baseline. Data were analyzed from November 2022 to July 2023. Exposures Total and individual lignans were assessed using a validated food frequency questionnaire, which was updated every 2 to 4 years. In the MLVS, lignan intake was measured using 2 sets of 7-day diet records (7DDRs). Main Outcomes and Measures Incident T2D cases were confirmed using American Diabetes Association diagnostic criteria. Cox proportional hazards models were used to assess multivariable-adjusted associations. Results The current study included 201 111 participants (mean [SD] age, 44.7 [10.1] years; 161 169 female participants [80.2%]; 2614 African American participants [1.3%], 1609 Asian participants [0.8%], 2414 Hispanic and other race or ethnicity participants [1.2%], and 194 474 White participants [96.7%]) from the HPFS, NHS, and NHSII studies. The median (IQR) total lignan intake of the highest quintile ranged from 355.1 (330.2-396.9) μg/d in NHS to 459.9 (422.2-519.5) μg/d in HPFS at the median follow-up time. Over 5 068 689 person-years, 20 291 incident cases of T2D were identified. Higher lignan intake was inversely associated with T2D incidence, except for lariciresinol. The multivariable-adjusted pooled hazard ratios (HRs) for the highest vs lowest quintiles were 0.87 (95% CI, 0.83-0.91) for total lignans, 0.72 (95% CI, 0.69-0.76) for secoisolariciresinol, 0.92 (95% CI, 0.87-0.96) for pinoresinol, 0.93 (95% CI, 0.89-0.98) for matairesinol, and 0.99 (95% CI, 0.94-1.04) for lariciresinol. Secoisolariciresinol intake exhibited a significant inverse association with T2D risk among individuals with obesity (HR, 0.75 for body mass index [BMI] ≥30; 95% CI, 0.71-0.79 vs HR, 0.82 for BMI <25; 95% CI, 0.81-0.83; P < .001 for interaction) and premenopausal women (HR, 0.67 for premenopausal women; 95% CI, 0.65-0.69 vs HR, 0.82 for the past use of hormones; 95% CI, 0.76-0.88; P = .003 for interaction). Dietary lignan assessed with 7DDRs was associated with lower HbA1c levels (percentage change range from -0.92% to 1.50%), as well as lower C-reactive protein levels and better lipid profiles. Conclusions and Relevance This cohort study found that long-term lignan consumption was associated with a lower T2D risk, particularly among individuals with obesity and premenopausal women.
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Affiliation(s)
- Siyue Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Binkai Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Joslin Diabetes Center, Boston, Massachusetts
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Castelnuovo G, Perez-Diaz-Del-Campo N, Rosso C, Armandi A, Caviglia GP, Bugianesi E. A Healthful Plant-Based Diet as an Alternative Dietary Approach in the Management of Metabolic Dysfunction-Associated Steatotic Liver Disease. Nutrients 2024; 16:2027. [PMID: 38999775 PMCID: PMC11243448 DOI: 10.3390/nu16132027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 06/21/2024] [Accepted: 06/25/2024] [Indexed: 07/14/2024] Open
Abstract
Plant-based diets (PBDs) are gaining attention as a sustainable and health-conscious alternative for managing various chronic conditions, including metabolic dysfunction-associated steatotic liver disease (MASLD). In the absence of pharmacological treatments, exploring the potential of lifestyle modifications to improve biochemical and pathological outcomes becomes crucial. The adoption of PBDs has demonstrated beneficial effects such as weight control, increased metabolic health and improved coexisting diseases. Nonetheless, challenges persist, including adherence difficulties, ensuring nutritional adequacy, and addressing potential deficiencies. The aim of this review is to provide a comprehensive overview of the impact of PBDs on MASLD, emphasizing the need for tailored dietary interventions with professional support to optimize their effectiveness in preventing and treating metabolic diseases.
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Affiliation(s)
| | | | - Chiara Rosso
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Angelo Armandi
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | | | - Elisabetta Bugianesi
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
- Gastroenterology Unit, Città della Salute e della Scienza-Molinette Hospital, 10126 Turin, Italy
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Esfandiar Z, Hosseini-Esfahani F, Mirmiran P, Azizi F. Higher dietary flavonol and isoflavonoid intakes are associated with lower incidence of type 2 diabetes. INT J VITAM NUTR RES 2024; 94:163-170. [PMID: 37042357 DOI: 10.1024/0300-9831/a000782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
Background: Adequate evidence supports beneficial effects of plant-derived phytochemicals against type 2 diabetes (T2D). Among phytochemicals, dietary flavonoids is one of the superb candidates. The whole studies are carried out in Western populations, so it is needed to investigate the risk of T2D by dietary flavonoid intakes in ethnic origins and other regions to confirm these relations. This study was conducted to investigate whether the daily consumption of total flavonoid and its subclasses can affect the incidence of type 2 diabetes (T2D) in the Iranian population. Methods: Eligible adults (n=6547) were selected from among participants of the Tehran lipid and glucose study with an average follow-up of 3.0 years. Dietary intakes were assessed using a valid and reliable 168-item semi-quantitative food frequency questionnaire. Multivariate Cox proportional hazard regression models were used to estimate the development of T2D in relation to total intake of flavonoids. Results: This study was conducted on 2882 men and 3665 women, aged 41.3±14.6 and 39.0±13.4 years, respectively. After adjustment for several potential confounders (age, sex, diabetes risk score, physical activity, energy, fiber and total fat intakes), risk of T2D decreased from tertiles 1 to 3 for flavonols (HR (95% CI): 1.00, 0.86 (0.64-1.16), 0.87 (0.63-0.93), Ptrend=0.01) and isoflavonoids (HR (95% CI): 1.00, 0.84 (0.62-1.13), 0.64 (0.46-0.88), Ptrend=0.02), whereas non-significant results were found for total flavonoid and other subclasses of flavonoid. Conclusion: These results emphasize the potential protective role of flavonols and isoflavonoids rich food (e.g. apple, tea, soy, and dark chocolate) in the prevention of T2D.
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Affiliation(s)
- Zohreh Esfandiar
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Firoozeh Hosseini-Esfahani
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Woo HW, Kim MK, Ji-Sook K, Lee J, Shin MH, Koh SB, Kim HC, Kim YM. The association of dietary total flavonoids and their subclasses with the risk of type 2 diabetes: a prospective cohort study. Eur J Nutr 2024; 63:1339-1356. [PMID: 38418540 DOI: 10.1007/s00394-024-03341-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 01/31/2024] [Indexed: 03/01/2024]
Abstract
BACKGROUND Data from mechanistic studies suggest flavonoids may benefit glucose metabolism, but their associations with type 2 diabetes (T2D) remain unclear. This study examined the prospective associations of dietary intake of total, classes, and individual flavonoids, as well as their source foods, with T2D in the CArdioVascular disease Association Study (CAVAS). METHODS A total of 16,666 Korean men and women were enrolled at baseline, and 953 were newly diagnosed with T2D over a median follow-up of 5.96 years. Intake of flavonoids was cumulatively averaged using all food frequency questionnaires before the censoring events. A Poisson regression model was used to estimate incidence rate ratios (IRRs) and 95% confidence intervals (CIs). RESULTS Women with higher total flavonoid, flavonol, isoflavone, and proanthocyanidin intake had a lower risk of T2D (fourth vs. first quartile, IRR 0.62; 95% CI 0.44-0.89; P for linearity and non-linearity < 0.05 for total flavonoids), while in men, flavanones, anthocyanins, and proanthocyanidins, but not total flavonoids, were inversely associated with T2D risk (all P interaction for sex > 0.05). The key source foods contributing to flavonoid intake were also different between men and women, except for apples: tangerines and strawberries in men and green leafy vegetables and soy products in women. CONCLUSIONS A higher intake of total flavonoids, particularly from vegetables, soybeans, and apples, may be associated with lower risk of T2D in women. However, flavonoids from fruits, rather than total flavonoids, may be inversely associated in men. The association between flavonoid intake and the risk of T2D may be contingent upon the dietary sources of flavonoids consumed.
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Affiliation(s)
- Hye Won Woo
- Department of Preventive Medicine, College of Medicine, Hanyang University, 222 Wangsimni-ro, Medical School Building A-Room 517-2, Sungdong-gu, 04763, Seoul, South Korea
- Institute for Health and Society, Hanyang University, 222 Wangsimni-ro, Sungdong-gu, 04763, Seoul, South Korea
| | - Mi Kyung Kim
- Department of Preventive Medicine, College of Medicine, Hanyang University, 222 Wangsimni-ro, Medical School Building A-Room 517-2, Sungdong-gu, 04763, Seoul, South Korea.
- Institute for Health and Society, Hanyang University, 222 Wangsimni-ro, Sungdong-gu, 04763, Seoul, South Korea.
| | - Kong Ji-Sook
- Department of Preventive Medicine, College of Medicine, Hanyang University, 222 Wangsimni-ro, Medical School Building A-Room 517-2, Sungdong-gu, 04763, Seoul, South Korea
- Institute for Health and Society, Hanyang University, 222 Wangsimni-ro, Sungdong-gu, 04763, Seoul, South Korea
| | - Jiseon Lee
- Department of Preventive Medicine, College of Medicine, Hanyang University, 222 Wangsimni-ro, Medical School Building A-Room 517-2, Sungdong-gu, 04763, Seoul, South Korea
- Institute for Health and Society, Hanyang University, 222 Wangsimni-ro, Sungdong-gu, 04763, Seoul, South Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, 160 Baekseo-ro, Dong-gu, 61469, Gwangju, South Korea
| | - Sang Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, 20, Ilsan-ro, 26426, Wonju, South Korea
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, 50, Yonsei-ro, Seodaemun-gu, 03722, Seoul, South Korea
| | - Yu-Mi Kim
- Department of Preventive Medicine, College of Medicine, Hanyang University, 222 Wangsimni-ro, Medical School Building A-Room 517-2, Sungdong-gu, 04763, Seoul, South Korea
- Institute for Health and Society, Hanyang University, 222 Wangsimni-ro, Sungdong-gu, 04763, Seoul, South Korea
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Jomova K, Alomar SY, Alwasel SH, Nepovimova E, Kuca K, Valko M. Several lines of antioxidant defense against oxidative stress: antioxidant enzymes, nanomaterials with multiple enzyme-mimicking activities, and low-molecular-weight antioxidants. Arch Toxicol 2024; 98:1323-1367. [PMID: 38483584 PMCID: PMC11303474 DOI: 10.1007/s00204-024-03696-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 01/31/2024] [Indexed: 03/27/2024]
Abstract
Reactive oxygen species (ROS) and reactive nitrogen species (RNS) are well recognized for playing a dual role, since they can be either deleterious or beneficial to biological systems. An imbalance between ROS production and elimination is termed oxidative stress, a critical factor and common denominator of many chronic diseases such as cancer, cardiovascular diseases, metabolic diseases, neurological disorders (Alzheimer's and Parkinson's diseases), and other disorders. To counteract the harmful effects of ROS, organisms have evolved a complex, three-line antioxidant defense system. The first-line defense mechanism is the most efficient and involves antioxidant enzymes such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx). This line of defense plays an irreplaceable role in the dismutation of superoxide radicals (O2•-) and hydrogen peroxide (H2O2). The removal of superoxide radicals by SOD prevents the formation of the much more damaging peroxynitrite ONOO- (O2•- + NO• → ONOO-) and maintains the physiologically relevant level of nitric oxide (NO•), an important molecule in neurotransmission, inflammation, and vasodilation. The second-line antioxidant defense pathway involves exogenous diet-derived small-molecule antioxidants. The third-line antioxidant defense is ensured by the repair or removal of oxidized proteins and other biomolecules by a variety of enzyme systems. This review briefly discusses the endogenous (mitochondria, NADPH, xanthine oxidase (XO), Fenton reaction) and exogenous (e.g., smoking, radiation, drugs, pollution) sources of ROS (superoxide radical, hydrogen peroxide, hydroxyl radical, peroxyl radical, hypochlorous acid, peroxynitrite). Attention has been given to the first-line antioxidant defense system provided by SOD, CAT, and GPx. The chemical and molecular mechanisms of antioxidant enzymes, enzyme-related diseases (cancer, cardiovascular, lung, metabolic, and neurological diseases), and the role of enzymes (e.g., GPx4) in cellular processes such as ferroptosis are discussed. Potential therapeutic applications of enzyme mimics and recent progress in metal-based (copper, iron, cobalt, molybdenum, cerium) and nonmetal (carbon)-based nanomaterials with enzyme-like activities (nanozymes) are also discussed. Moreover, attention has been given to the mechanisms of action of low-molecular-weight antioxidants (vitamin C (ascorbate), vitamin E (alpha-tocopherol), carotenoids (e.g., β-carotene, lycopene, lutein), flavonoids (e.g., quercetin, anthocyanins, epicatechin), and glutathione (GSH)), the activation of transcription factors such as Nrf2, and the protection against chronic diseases. Given that there is a discrepancy between preclinical and clinical studies, approaches that may result in greater pharmacological and clinical success of low-molecular-weight antioxidant therapies are also subject to discussion.
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Affiliation(s)
- Klaudia Jomova
- Department of Chemistry, Faculty of Natural Sciences, Constantine The Philosopher University in Nitra, Nitra, 949 74, Slovakia
| | - Suliman Y Alomar
- Doping Research Chair, Zoology Department, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Saleh H Alwasel
- Zoology Department, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Eugenie Nepovimova
- Department of Chemistry, Faculty of Sciences, University of Hradec Kralove, 50005, Hradec Kralove, Czech Republic
| | - Kamil Kuca
- Department of Chemistry, Faculty of Sciences, University of Hradec Kralove, 50005, Hradec Kralove, Czech Republic
- Biomedical Research Center, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Marian Valko
- Faculty of Chemical and Food Technology, Slovak University of Technology, 812 37, Bratislava, Slovakia.
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Rahimlou M, Baghdadi G, Khodi A, Rahimi Z, Saki N, Banaei Jahromi N, Cheraghian B, Tavasolian R, Hosseini SA. Polyphenol consumption and Nonalcoholic fatty liver disease risk in adults. Sci Rep 2024; 14:6752. [PMID: 38514756 PMCID: PMC10957908 DOI: 10.1038/s41598-024-57416-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 03/18/2024] [Indexed: 03/23/2024] Open
Abstract
In this cross-sectional investigation, the primary objective was to explore the correlation between the consumption of polyphenols and the likelihood of non-alcoholic fatty liver disease (NAFLD) in the adult population participating in the Hoveyzeh cohort. Data from the Hoveyzeh cohort study, part of the Persian Cohort Study, involving 10,009 adults aged 35-70, were analyzed. Exclusions were made for missing data, extreme energy intake, and liver cancer patients. Dietary habits were assessed using a food frequency questionnaire, and polyphenol intake was calculated using the Phenol Explorer database. Logistic regression analyses, adjusted for confounders, were performed to assess the relationship between polyphenol subclasses (total polyphenols, total flavonoids, phenolic acid, and lignin) and NAFLD. Among 9894 participants, those in the highest quintile of total polyphenol (OR 0.65, CI 0.5-0.84; P = 0.007), phenolic acid (OR 0.67, CI 0.52-0.86; P < 0.001), and lignin intake (OR 0.69, CI 0.52-0.87; P = 0.001) demonstrated lower odds of NAFLD compared to the lowest quintile, even after adjusting for confounding factors. However, no significant association was found between total flavonoid intake and NAFLD (OR 1.26, CI 0.96-1.67; P = 0.47). Subgroup analysis indicated a significant inverse association between total polyphenols and NAFLD in women (OR 0.64, CI 0.42-0.93; P = 0.001). Higher intake of total polyphenols, phenolic acid, and lignin was associated with reduced odds of NAFLD among adults in the Hoveyzeh cohort. This suggests that dietary patterns rich in these polyphenols may play a role in mitigating the risk of NAFLD. Further interventional and longitudinal studies are needed to validate these findings and explore potential preventive strategies involving polyphenol-rich diets.
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Affiliation(s)
- Mehran Rahimlou
- Department of Nutrition, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ghazal Baghdadi
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Khodi
- Taylor's University, Subang Jaya, Malaysia
| | - Zahra Rahimi
- Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Nader Saki
- Department of Otolaryngology, Head and Neck Surgery, Hearing Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Nasrin Banaei Jahromi
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Nutrition and Metabolic Disease Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Bahman Cheraghian
- Alimentary Tract Research Center, Department of Biostatistics & Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ronia Tavasolian
- Department of Nutrition, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Seyed Ahmad Hosseini
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
- Nutrition and Metabolic Disease Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Zhou Y, Qin S, Zhu Y, Xu P, Gu K. Inverse association between isoflavones and prediabetes risk: evidence from NHANES 2007-2010 and 2017-2018. Front Nutr 2023; 10:1288416. [PMID: 38115881 PMCID: PMC10728643 DOI: 10.3389/fnut.2023.1288416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 11/13/2023] [Indexed: 12/21/2023] Open
Abstract
Introduction Prediabetes is a metabolic condition characterized by blood glucose levels that are higher than normal but do not meet the threshold for a diabetes diagnosis. Individuals with prediabetes are at an increased risk of developing type 2 diabetes and associated complications. However, limited epidemiological studies have investigated the association between flavonoids from plant-based diets and the risk of prediabetes, and the existing evidence from these studies is inconsistent. Methods Therefore, we utilized data from 19,021 participants (mean age: 32.03 years) in the National Health and Nutrition Examination Survey (NHANES) conducted during 2007-2010 and 2017-2018 to investigate the potential association between dietary flavonoid intake and prediabetes risk by weighted logistic regression analysis. Furthermore, the data from 3,706 participants (mean age: 35.98 years) from NHANES 2007-2010 were used to assess the correlation between concentrations of isoflavones and their metabolites in urine and prediabetes risk by weighted logistic regression analysis. Results Our findings revealed an inverse association between the intake of glycitein (OR: 0.88; 95% CI: 0.82-0.96; p = 0.003), genistein (OR: 0.98; 95% CI: 0.97-0.99; p = 0.004), daidzein (OR: 0.98; 95% CI: 0.96-0.99; p = 0.009), and total isoflavones (OR: 0.99; 95% CI: 0.98-1.00; p = 0.005) with the risk of prediabetes. Moreover, we observed an inverse association between the concentration of daidzein in urine (OR: 0.84; 95% CI: 0.73-0.96; p = 0.012) and the concentration of genistein in urine (OR:0.83; 95% CI: 0.75-0.93; p = 0.003) with the risk of prediabetes using weighted logistic regression. Conclusion In conclusion, our findings suggest a potential protective effect of isoflavones against the development of prediabetes.
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Affiliation(s)
- Yanjun Zhou
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Shaolei Qin
- Wuxi Medical School, Jiangnan University, Wuxi, Jiangsu, China
| | - Yan Zhu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Peng Xu
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ke Gu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
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9
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Xu Y, Li Y, Hu J, Gibson R, Rodriguez-Mateos A. Development of a novel (poly)phenol-rich diet score and its association with urinary (poly)phenol metabolites. Food Funct 2023; 14:9635-9649. [PMID: 37840467 DOI: 10.1039/d3fo01982a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Background: Estimating (poly)phenol intake is challenging due to inadequate dietary assessment tools and limited food content data. Currently, a priori diet scores to characterise (poly)phenol-rich diets are lacking. This study aimed to develop a novel (poly)phenol-rich diet score (PPS) and explore its relationship with circulating (poly)phenol metabolites. Methods: A total of 543 healthy free-living participants aged 18-80 years completed a food frequency questionnaire (FFQ) (EPIC-Norfolk) and provided 24 h urine samples. The PPS was developed based on the relative intake (quintiles) of 20 selected (poly)phenol-rich food items abundant in the UK diet, including tea, coffee, red wine, whole grains, chocolate and cocoa products, berries, apples and juice, pears, grapes, plums, citrus fruits and juice, potatoes and carrots, onions, peppers, garlic, green vegetables, pulses, soy and soy products, nuts, and olive oil. Foods included in the PPS were chosen based on their (poly)phenol content, main sources of (poly)phenols, and consumption frequencies in the UK population. Associations between the PPS and urinary phenolic metabolites were investigated using linear models adjusting energy intake and multiple testing (FDR adjusted p < 0.05). Result: The total PPS ranged from 25 to 88, with a mean score of 54. A total of 51 individual urinary metabolites were significantly associated with the PPS, including 39 phenolic acids, 5 flavonoids, 3 lignans, 2 resveratrol and 2 other (poly)phenol metabolites. The total (poly)phenol intake derived from FFQs also showed a positive association with PPS (stdBeta 0.32, 95% CI (0.24, 0.40), p < 0.01). Significant positive associations were observed in 24 of 27 classes and subclasses of estimated (poly)phenol intake and PPS, with stdBeta values ranging from 0.12 (0.04, 0.20) for theaflavins/thearubigins to 0.43 (0.34, 0.51) for flavonols (p < 0.01). Conclusion: High adherence to the PPS diet is associated with (poly)phenol intake and urinary biomarkers, indicating the utility of the PPS to characterise diets rich in (poly)phenols at a population level.
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Affiliation(s)
- Yifan Xu
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Yong Li
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Jiaying Hu
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Rachel Gibson
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
| | - Ana Rodriguez-Mateos
- Department of Nutritional Sciences, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
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10
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Zhou Y, Xu P, Qin S, Zhu Y, Gu K. The associations between dietary flavonoid intake and the prevalence of diabetes mellitus: Data from the National Health and Nutrition Examination Survey 2007-2010 and 2017-2018. Front Endocrinol (Lausanne) 2023; 14:1250410. [PMID: 37664856 PMCID: PMC10474301 DOI: 10.3389/fendo.2023.1250410] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/03/2023] [Indexed: 09/05/2023] Open
Abstract
Background Diabetes mellitus (DM) is a prominent health concern worldwide, leading to the high incidence of disability and mortality and bringing in heavy healthcare and social burden. Plant-based diets are reported associated with a reduction of DM risk. Plant-based diets are rich in flavonoids, which possess properties such as scavenging free radicals and exerting both anti-inflammatory and antioxidant effects. Purpose However, whether dietary flavonoids are associated with the prevalence of DM remains controversial. The potential reasons for contradictory epidemiological outcomes on the association between dietary flavonoids and DM prevalence have not been determined. Methods To address these limitations, we employed data from 22,481 participants in the National Health and Nutrition Examination Survey to explore the association between the intake of flavonoids and DM prevalence by weighted Logistic regression and weighted restricted cubic splines. Results We found that the prevalence of DM was inversely associated with the intake of total flavonoids in the second quartile [Odds Ratio (OR) 0.78 95% confidence interval (CI) (0.63, 0.97), p = 0.028], in the third quartile [0.76 (0.60, 0.97), p = 0.031], and in the fourth quartile [0.80 (0.65, 0.97), p = 0.027]. However, the p for trend was not significant [0.94 (0.88, 1.01), p = 0.096]. Moreover, the association between DM prevalence and the intake of total flavonoids was significantly influenced by race (p for interaction = 0.006). In Mexican Americans, there was a significant positive association between DM prevalence and total flavonoid intake within the third quartile [1.04 (1.02, 1.07), p = 0.003]. Total flavan-3-ol and subtotal catechin intake exhibited a non-linear U-shaped association with DM prevalence (p for non-linearity < 0.0001 and p for non-linearity < 0.0001, respectively). Compared to the first quartile of corresponding intakes, consumption within the third quartile of subtotal catechins [0.70 (0.55, 0.89), p = 0.005] and total flavan-3-ols [0.65 (0.50, 0.84), p = 0.002] was associated with a lower prevalence of DM. Conclusion Taken together, our study may provide preliminary research evidence for personalized improvement of dietary habits to reduce the prevalence of diabetes.
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Affiliation(s)
- Yanjun Zhou
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Peng Xu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Shaolei Qin
- Wuxi Medical College, Jiangnan University, Wuxi, Jiangsu, China
| | - Yan Zhu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Ke Gu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
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11
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Yeung AWK. Food Composition Databases (FCDBs): A Bibliometric Analysis. Nutrients 2023; 15:3548. [PMID: 37630742 PMCID: PMC10459793 DOI: 10.3390/nu15163548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Food composition databases (FCDBs) are important tools that provide information on the nutritional content of foods. Previously, it was largely unclear what nutritional contents and which FCDBs were involved in highly cited papers. The bibliometric study aimed to identify the most productive authors, institutions, and journals. The chemicals/chemical compounds with high averaged citations and FCDBs used by highly cited papers were identified. In July 2023, the online database Web of Science Core Collection (WoSCC) was queried to identify papers related to FCDBs. A total of 803 papers were identified and analyzed. The first paper indexed in WoSCC was published in 1992 by Pennington, which described the usefulness of FCDB for researchers to identify core foods for their own studies. In that paper, the FCDB described was the USDA 1987-88 NFCS (the United States Department of Agriculture 1987-88 Nationwide Food Consumption Survey). The most productive author was Dr. Paul M. Finglas, the Head of the Food Databanks National Capability at the Quadram Institute (Norwich, UK) and the Managing Director of EuroFIR. His most cited paper among this dataset was about the development of an online Irish food composition database together with EuroFIR. The most productive institutions were the USDA and the World Health Organization (WHO) instead of universities. Flavonoid was the most recurring chemical class among the highly cited ones. The anti-oxidative properties and protective effects against heart disease and cancer of flavonoids might be some of the reasons for their popularity in research. Among the highly cited papers, the most heavily used FCDBs were the USDA database for the flavonoid content of selected foods, Fineli, the USDA National Nutrient Database for Standard Reference (USNDB), EuroFIR eBASIS-Bioactive Substances in Food Information Systems, and Phenol-Explorer. High-quality national and international FCDBs should be promoted and made more accessible to the research and public communities to promote better nutrition and public health on a global scale.
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Affiliation(s)
- Andy Wai Kan Yeung
- Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China
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12
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Vázquez-Ruiz Z, Martínez-González MÁ, Vitelli-Storelli F, Bes-Rastrollo M, Basterra-Gortari FJ, Toledo E. Effect of Dietary Phenolic Compounds on Incidence of Type 2 Diabetes in the "Seguimiento Universidad de Navarra" (SUN) Cohort. Antioxidants (Basel) 2023; 12:antiox12020507. [PMID: 36830064 PMCID: PMC9952475 DOI: 10.3390/antiox12020507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/13/2023] [Accepted: 02/15/2023] [Indexed: 02/19/2023] Open
Abstract
The global incidence of type 2 diabetes (T2D) has been steadily increasing in recent decades. The Mediterranean dietary pattern has shown a preventive effect on the risk of T2D. Evaluating the association between bioactive compounds such as phenolic compounds (PC) in a Mediterranean cohort could help to better understand the mechanisms implicated in this protection. We evaluated the association between dietary intake of PC and the risk of T2D in a relatively young cohort of 17,821 Spanish participants initially free of T2D, through the University of Navarra Follow-up Project ("Seguimiento Universidad de Navarra" or SUN cohort) after 10 years of median follow-up using time-dependent Cox models. Intake of PC was estimated at baseline and repeatedly at 10-year follow-up using a 136-item validated food frequency and the Phenol-Explorer database. The incidence of T2D was identified by a biennial follow-up, and only medically confirmed cases were included. During 224,751 person-years of follow-up, 186 cases of T2D were confirmed. A suboptimal intake of stilbenes was independently associated with a higher risk of T2D in subjects over 50 years (HR: 1.75, 95% CI: 1.06-2.90, p value < 0.05) after adjusting for potential confounders. Our results suggest that a moderate-high intake of stilbenes can decrease the risk of developing T2D in subjects over 50 years in our cohort.
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Affiliation(s)
- Zenaida Vázquez-Ruiz
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Facundo Vitelli-Storelli
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS), Instituto de Biomedicina (IBIOMED), University of León, 24004 León, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
| | - Francisco Javier Basterra-Gortari
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Hospital Universitario de Navarra, 31008 Pamplona, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), University of Navarra, 31008 Pamplona, Spain
- Biomedical Research Network Centre for Pathophysiology of Obesity and Nutrition (CIBEROBN), Carlos III Health Institute, 28029 Madrid, Spain
- Correspondence:
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13
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Liu D, Sica MS, Mao J, Chao LFI, Siewers V. A p-Coumaroyl-CoA Biosensor for Dynamic Regulation of Naringenin Biosynthesis in Saccharomyces cerevisiae. ACS Synth Biol 2022; 11:3228-3238. [PMID: 36137537 PMCID: PMC9594313 DOI: 10.1021/acssynbio.2c00111] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
In vivo biosensors that can convert metabolite concentrations into measurable output signals are valuable tools for high-throughput screening and dynamic pathway control in the field of metabolic engineering. Here, we present a novel biosensor in Saccharomyces cerevisiae that is responsive to p-coumaroyl-CoA, a central precursor of many flavonoids. The sensor is based on the transcriptional repressor CouR from Rhodopseudomonas palustris and was applied in combination with a previously developed malonyl-CoA biosensor for dual regulation of p-coumaroyl-CoA synthesis within the naringenin production pathway. Using this approach, we obtained a naringenin titer of 47.3 mg/L upon external precursor feeding, representing a 15-fold increase over the nonregulated system.
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14
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Li T, Zhao Y, Yuan L, Zhang D, Feng Y, Hu H, Hu D, Liu J. Total dietary flavonoid intake and risk of cardiometabolic diseases: A dose-response meta-analysis of prospective cohort studies. Crit Rev Food Sci Nutr 2022; 64:2760-2772. [PMID: 36148848 DOI: 10.1080/10408398.2022.2126427] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Several epidemiological studies have suggested that flavonoid intake is associated with a decreased risk of cardiometabolic disease. However, the results remained inconsistent and there is no dose-response meta-analysis for specific outcomes. We conducted a meta-analysis to synthesize the knowledge about their associations and to explore their dose-response relationships. We comprehensively searched the PubMed, Embase, and Web of Science databases for prospective cohort studies published up to December 1, 2021. Summary relative risks (RR) and 95% confidence intervals (CI) were pooled for the association between flavonoid intake and cardiometabolic disease. Evaluations of linear or nonlinear dose-response were presented by restricted cubic splines. We identified 47 articles, including 1,346 676 participants and 127,507 cases in this meta-analysis. The summary of RR per 500 mg/d increase in flavonoid intake was 0.93 (95% CI 0.88-0.98) for cardiovascular disease, 0.89 (95% CI 0.84-0.94) for diabetes, and 0.97 (95% CI 0.94-0.99) for hypertension, respectively. We also found a linearity dose-response association between total flavonoid intake and cardiovascular disease (p nonlinearity = 0.541), and diabetes (p nonlinearity = 0.077). Our finding based on quantitative data suggested that a higher level of flavonoid intake is beneficial for the prevention of cardiometabolic diseases.
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Affiliation(s)
- Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lijun Yuan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongdong Zhang
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Huifang Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jiaye Liu
- School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China
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15
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Why and How the Indo-Mediterranean Diet May Be Superior to Other Diets: The Role of Antioxidants in the Diet. Nutrients 2022; 14:nu14040898. [PMID: 35215548 PMCID: PMC8879532 DOI: 10.3390/nu14040898] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/10/2022] [Indexed: 12/12/2022] Open
Abstract
The Seven Countries Study showed that traditional Japanese and Mediterranean diets are protective against cardiovascular diseases (CVDs). The Japanese diet is considered the healthiest because it provides Japanese populations with the highest longevity and health. DASH and Mediterranean-style diets are also considered healthy diets, although the Indo-Mediterranean-style diet may provide better protective effects among patients with CVDs compared to other diets. The concept of the Indo-Mediterranean type of diet was developed after examining its role in the prevention of CVDs in India, the value of which was confirmed by a landmark study from France: the Lyon Heart Study. These workers found that consuming an alpha-linolenic acid-rich Mediterranean-style diet can cause a significant decline in CVDs and all-cause mortality. Later in 2018, the PREDIMED study from Spain also reported that a modified Mediterranean-style diet can cause a significant decline in CVDs, type 2 diabetes mellitus (T2DM), and cancer. The Indo-Mediterranean diet may be superior to DASH and Mediterranean diets because it contains millets, porridge, and beans, as well as spices such as turmeric, cumin, fenugreek, and coriander, which may have better anti-inflammatory and cardioprotective effects. These foods are rich sources of nutrients, flavonoids, calcium, and iron, as well as proteins, which are useful in the prevention of under- and overnutrition and related diseases. It is known that DASH and Mediterranean-style diets have a similar influence on CVDs. However, the Indo-Mediterranean-style diet may be as good as the Japanese diet due to improved food diversity and the high content of antioxidants.
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16
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Tresserra-Rimbau A, Castro-Barquero S, Becerra-Tomás N, Babio N, Martínez-González MÁ, Corella D, Fitó M, Romaguera D, Vioque J, Alonso-Gomez AM, Wärnberg J, Martínez JA, Serra-Majem L, Estruch R, Tinahones FJ, Lapetra J, Pintó X, Tur JA, López-Miranda J, Cano-Ibáñez N, Delgado-Rodríguez M, Matía-Martín P, Daimiel L, Martín Sánchez V, Vidal J, Vázquez C, Ros E, Basterra FJ, Fernández de la Puente M, Asensio EM, Castañer O, Bullón-Vela V, Tojal-Sierra L, Gómez-Gracia E, Cases-Pérez E, Konieczna J, García-Ríos A, Casañas-Quintana T, Bernal-Lopez MR, Santos-Lozano JM, Esteve-Luque V, Bouzas C, Vázquez-Ruiz Z, Palau-Galindo A, Barragan R, López Grau M, Razquín C, Goicolea-Güemez L, Toledo E, Vergaz MV, Lamuela-Raventós RM, Salas-Salvadó J. Adopting a High-Polyphenolic Diet Is Associated with an Improved Glucose Profile: Prospective Analysis within the PREDIMED-Plus Trial. Antioxidants (Basel) 2022; 11:antiox11020316. [PMID: 35204199 PMCID: PMC8868059 DOI: 10.3390/antiox11020316] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 01/30/2022] [Accepted: 02/01/2022] [Indexed: 02/05/2023] Open
Abstract
Previous studies suggested that dietary polyphenols could reduce the incidence and complications of type-2 diabetes (T2D); although the evidence is still limited and inconsistent. This work analyzes whether changing to a diet with a higher polyphenolic content is associated with an improved glucose profile. At baseline, and at 1 year of follow-up visits, 5921 participants (mean age 65.0 ± 4.9, 48.2% women) who had overweight/obesity and metabolic syndrome filled out a validated 143-item semi-quantitative food frequency questionnaire (FFQ), from which polyphenol intakes were calculated. Energy-adjusted total polyphenols and subclasses were categorized in tertiles of changes. Linear mixed-effect models with random intercepts (the recruitment centers) were used to assess associations between changes in polyphenol subclasses intake and 1-year plasma glucose or glycosylated hemoglobin (HbA1c) levels. Increments in total polyphenol intake and some classes were inversely associated with better glucose levels and HbA1c after one year of follow-up. These associations were modified when the analyses were run considering diabetes status separately. To our knowledge, this is the first study to assess the relationship between changes in the intake of all polyphenolic groups and T2D-related parameters in a senior population with T2D or at high-risk of developing T2D.
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Affiliation(s)
- Anna Tresserra-Rimbau
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08921 Barcelona, Spain;
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Correspondence:
| | - Sara Castro-Barquero
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Nerea Becerra-Tomás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
- Unitat de Nutrició, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43204 Reus, Spain;
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Unitat de Nutrició, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43204 Reus, Spain;
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08007 Barcelona, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (N.C.-I.); (M.D.-R.); (V.M.S.)
- Alicante Institute for Health and Biomedical Research, University Miguel Hernandez (ISABIAL-UMH), 03010 Alicante, Spain
| | - Angel M. Alonso-Gomez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Nursing, Institute of Biomedical Research in Málaga (IBIMA), University of Málaga, 29010 Malaga, Spain
| | - José Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain;
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J. Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Malaga (IBIMA), University of Malaga, 29010 Malaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41010 Sevilla, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, 08908 Hospitalet de Llobregat, Spain;
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (N.C.-I.); (M.D.-R.); (V.M.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
- Instituto de Investigación Biosanitaria, Complejo Hospitales Universitarios de Granada, Universidad de Granada, 18016 Granada, Spain
| | - Miguel Delgado-Rodríguez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (N.C.-I.); (M.D.-R.); (V.M.S.)
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaen, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28029 Madrid, Spain;
| | - Vicente Martín Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (N.C.-I.); (M.D.-R.); (V.M.S.)
- Institute of Biomedicine (IBIOMED), University of León, 24071 Leon, Spain
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, 28040 Madrid, Spain
| | - Emili Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Francisco Javier Basterra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - María Fernández de la Puente
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Unitat de Nutrició, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43204 Reus, Spain;
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43204 Reus, Spain
| | - Eva M. Asensio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08007 Barcelona, Spain
| | - Vanessa Bullón-Vela
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain;
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Enrique Gómez-Gracia
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine and Public Health, Instituto de Investigación Biomédica de Málaga-IBIMA, School of Medicine, University of Málaga, 29071 Malaga, Spain
| | | | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Tamara Casañas-Quintana
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain
| | - María Rosa Bernal-Lopez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Malaga (IBIMA), University of Malaga, 29010 Malaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41010 Sevilla, Spain
| | - Virginia Esteve-Luque
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, 08908 Hospitalet de Llobregat, Spain;
| | - Cristina Bouzas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Antoni Palau-Galindo
- Unitat de Nutrició, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43204 Reus, Spain;
- ABS Reus V. Centre d’Assistència Primària Marià Fortuny, SAGESSA, 43205 Reus, Spain
| | - Rocio Barragan
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Mercè López Grau
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08007 Barcelona, Spain
| | - Cristina Razquín
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain;
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Leire Goicolea-Güemez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Manel Vila Vergaz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08007 Barcelona, Spain
| | - Rosa M. Lamuela-Raventós
- Department of Nutrition, Food Science and Gastronomy, XIA, School of Pharmacy and Food Sciences, INSA, University of Barcelona, 08921 Barcelona, Spain;
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (S.C.-B.); (N.B.-T.); (N.B.); (M.Á.M.-G.); (D.C.); (M.F.); (D.R.); (A.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (R.E.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (J.L.-M.); (C.V.); (E.R.); (F.J.B.); (M.F.d.l.P.); (E.M.A.); (O.C.); (L.T.-S.); (E.G.-G.); (J.K.); (A.G.-R.); (T.C.-Q.); (M.R.B.-L.); (J.M.S.-L.); (C.B.); (Z.V.-R.); (R.B.); (M.L.G.); (C.R.); (L.G.-G.); (E.T.); (M.V.V.); (J.S.-S.)
- Unitat de Nutrició, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43204 Reus, Spain;
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
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Garbiec E, Cielecka-Piontek J, Kowalówka M, Hołubiec M, Zalewski P. Genistein-Opportunities Related to an Interesting Molecule of Natural Origin. Molecules 2022; 27:815. [PMID: 35164079 PMCID: PMC8840253 DOI: 10.3390/molecules27030815] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 12/19/2022] Open
Abstract
Nowadays, increasingly more attention is being paid to a holistic approach to health, in which diet contributes to disease prevention. There is growing interest in functional food that not only provides basic nutrition but has also been demonstrated to be an opportunity for the prevention of disorders. A promising functional food is soybean, which is the richest source of the isoflavone, genistein. Genistein may be useful in the prevention and treatment of such disorders as psoriasis, cataracts, cystic fibrosis, non-alcoholic fatty liver disease and type 2 diabetes. However, achievable concentrations of genistein in humans are low, and the use of soybean as a functional food is not devoid of concerns, which are related to genistein's potential side effects resulting from its estrogenic and goitrogenic effects.
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Affiliation(s)
- Ewa Garbiec
- Department of Pharmacognosy, Faculty of Pharmacy, Poznan University of Medical Sciences, 4 Święcickiego St., 60-780 Poznan, Poland; (E.G.); (P.Z.)
| | - Judyta Cielecka-Piontek
- Department of Pharmacognosy, Faculty of Pharmacy, Poznan University of Medical Sciences, 4 Święcickiego St., 60-780 Poznan, Poland; (E.G.); (P.Z.)
| | - Magdalena Kowalówka
- Department of Bromatology, Faculty of Pharmacy, Poznan University of Medical Sciences, 42 Marcelińska St., 60-354 Poznan, Poland;
| | - Magdalena Hołubiec
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna 27/33 St., 60-572 Poznan, Poland;
| | - Przemysław Zalewski
- Department of Pharmacognosy, Faculty of Pharmacy, Poznan University of Medical Sciences, 4 Święcickiego St., 60-780 Poznan, Poland; (E.G.); (P.Z.)
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Abstract
Type 2 diabetes mellitus (T2DM) is the most prevalent disease and becoming a serious public health threat worldwide. In recent years, numerous effective T2DM intervention regimens have been developed, with promising results. However, these regimens are not usually economically available, and they are not well tolerated due to treatment-related toxicities. The focus nowadays is to identify new effective therapeutic agents, with relatively low cost and low toxicity, which can be used regularly to control a progression of T2DM in the prediabetic population. Accordingly, there has been growing attention in herbal remedies that can be presented into the general population with the tiniest side effects and the maximal preventive outcome. This article reviews recent publications in experimental models of T2DM not revised before, and supporting the potential use of nutraceuticals and phytochemicals through different mechanisms with promising results in the context of T2DM.
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Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches. Eur J Nutr 2021; 61:1299-1317. [PMID: 34750642 PMCID: PMC8921115 DOI: 10.1007/s00394-021-02692-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/28/2021] [Indexed: 12/18/2022]
Abstract
Purpose Extensive inter-individual variability exists in the production of flavan-3-ol metabolites. Preliminary metabolic phenotypes (metabotypes) have been defined, but there is no consensus on the existence of metabotypes associated with the catabolism of catechins and proanthocyanidins. This study aims at elucidating the presence of different metabotypes in the urinary excretion of main flavan-3-ol colonic metabolites after consumption of cranberry products and at assessing the impact of the statistical technique used for metabotyping. Methods Data on urinary concentrations of phenyl-γ-valerolactones and 3-(hydroxyphenyl)propanoic acid derivatives from two human interventions has been used. Different multivariate statistics, principal component analysis (PCA), cluster analysis, and partial least square-discriminant analysis (PLS-DA), have been considered. Results Data pre-treatment plays a major role on resulting PCA models. Cluster analysis based on k-means and a final consensus algorithm lead to quantitative-based models, while the expectation–maximization algorithm and clustering according to principal component scores yield metabotypes characterized by quali-quantitative differences in the excretion of colonic metabolites. PLS-DA, together with univariate analyses, has served to validate the urinary metabotypes in the production of flavan-3-ol metabolites and to confirm the robustness of the methodological approach. Conclusions This work proposes a methodological workflow for metabotype definition and highlights the importance of data pre-treatment and clustering methods on the final outcomes for a given dataset. It represents an additional step toward the understanding of the inter-individual variability in flavan-3-ol metabolism. Trial registration The acute study was registered at clinicaltrials.gov as NCT02517775, August 7, 2015; the chronic study was registered at clinicaltrials.gov as NCT02764749, May 6, 2016. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-021-02692-z.
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Abstract
Epidemiological studies have suggested an inverse association between polyphenol intake and the risk of chronic diseases. However, the lack of comprehensive data on population-level intakes, especially in Latin American countries, has limited research on this topic. We aimed to estimate total and individual polyphenol intakes and determine the major dietary contributors in a representative sample of the Brazilian population. Data were obtained from the Brazilian Household Budget Survey, a cross-sectional survey which included data on individual food intake of 34 003 subjects aged 10 years and over collected using two 24-h dietary records. Polyphenol content of foods was identified using the Phenol-Explorer database and Brazilian Food Composition Database. Total and individual polyphenol intake was calculated, as well as the intake distribution by socio-demographic factors. The median and 25-75th percentiles of polyphenol intake were 364·3 and 200·9-1008 mg/d, respectively. After energy adjustment, the median and 25-75th percentiles of polyphenol intake were 204 and 111·4-542·1 mg/1000 kcal/d (4184 kJ/d), respectively. Non-alcoholic beverages and fruits were the major polyphenol suppliers, and coffee and orange juice the main individual food contributors to polyphenol intake. The individual compounds most consumed were isomers of chlorogenic acid (5-caffeoylquinic acid, 4-caffeoylquinic acid, 3-caffeoylquinic acid), naringenin and hesperetin. The present study provides, for the first time, data on dietary intake of total and individual polyphenols by the Brazilian population and illustrates the low quality of their diet. These results will facilitate the study of associations between polyphenol class intake and health outcomes, and will also be useful for future dietary intake recommendations.
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Aoi W, Iwasa M, Marunaka Y. Metabolic functions of flavonoids: From human epidemiology to molecular mechanism. Neuropeptides 2021; 88:102163. [PMID: 34098453 DOI: 10.1016/j.npep.2021.102163] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 05/11/2021] [Accepted: 05/19/2021] [Indexed: 12/12/2022]
Abstract
Dietary flavonoid intake is associated with the regulation of nutrient metabolism in the living body. Observational and cohort studies have reported a negative association between flavonoid intake and the risk of metabolic and cardiovascular diseases. Several intervention trials in humans have also supported the benefits of dietary flavonoids. In experimental studies using animal models, a daily diet rich in typical flavonoids such as catechins, anthocyanin, isoflavone, and quercetin was shown to improve whole-body energy expenditure, mitochondrial activity, and glucose tolerance. For some flavonoids, molecular targets for the metabolic modulations have been suggested. Although the effect of flavonoids on neurons has been unclear, several flavonoids have been shown to regulate thermogenesis and feeding behavior through modulating autonomic and central nervous systems. Based on epidemiological and experimental studies, this review summarizes the evidence on the metabolic benefits of flavonoids and their potential mechanism of action in metabolic regulation.
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Affiliation(s)
- Wataru Aoi
- Laboratory of Nutrition Science, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto 606-8522, Japan.
| | - Masayo Iwasa
- Laboratory of Nutrition Science, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Kyoto 606-8522, Japan
| | - Yoshinori Marunaka
- Medical Research Institute, Kyoto Industrial Health Association, Kyoto 604-8472, Japan; Research Center for Drug Discovery and Pharmaceutical Development Science, Research Organization of Science and Technology, Ritsumeikan University, Kusatsu 525-8577, Japan; Department of Molecular Cell Physiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan; International Research Center for Food Nutrition and Safety, College of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
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Xu Y, Le Sayec M, Roberts C, Hein S, Rodriguez-Mateos A, Gibson R. Dietary Assessment Methods to Estimate (Poly)phenol Intake in Epidemiological Studies: A Systematic Review. Adv Nutr 2021; 12:1781-1801. [PMID: 33684195 PMCID: PMC8483972 DOI: 10.1093/advances/nmab017] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 01/06/2021] [Accepted: 01/29/2021] [Indexed: 11/25/2022] Open
Abstract
Nutritional epidemiological studies have frequently reported associations between higher (poly)phenol intake and a decrease in the risk or incidence of noncommunicable diseases. However, the assessment methods that have been used to quantify the intakes of these compounds in large-population samples are highly variable. This systematic review aims to characterize the methods used to assess dietary (poly)phenol intake in observational studies, report the validation status of the methods, and give recommendations on method selection and data reporting. Three databases were searched for publications that have used dietary assessment methods to measure (poly)phenol intake and 549 eligible full texts were identified. Food-frequency questionnaires were found to be the most commonly used tool to assess dietary (poly)phenol intake (73%). Published data from peer-reviewed journals were the major source of (poly)phenol content data (25%). An increasing number of studies used open-access databases such as Phenol-Explorer and USDA databases on flavonoid content since their inception, which accounted for 11% and 23% of the data sources, respectively. Only 16% of the studies reported a method that had been validated for measuring the target (poly)phenols. For future research we recommend: 1) selecting a validated dietary assessment tool according to the target compounds and target period of measurement; 2) applying and combining comprehensive (poly)phenol content databases such as USDA and Phenol-Explorer; 3) detailing the methods used to assess (poly)phenol intake, including dietary assessment method, (poly)phenol content data source; 4) follow the Strengthening the Reporting of Observational Studies in Epidemiology-Nutritional Epidemiology (STROBE-nut) framework; and 5) complementing dietary intake assessment based on questionnaires with measurement of (poly)phenols in biofluids using appropriate and validated analytical methods.
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Affiliation(s)
- Yifan Xu
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Melanie Le Sayec
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Caroline Roberts
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Sabine Hein
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom,School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom
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Ramírez-Alarcón K, Victoriano M, Mardones L, Villagran M, Al-Harrasi A, Al-Rawahi A, Cruz-Martins N, Sharifi-Rad J, Martorell M. Phytochemicals as Potential Epidrugs in Type 2 Diabetes Mellitus. Front Endocrinol (Lausanne) 2021; 12:656978. [PMID: 34140928 PMCID: PMC8204854 DOI: 10.3389/fendo.2021.656978] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/31/2021] [Indexed: 11/13/2022] Open
Abstract
Type 2 diabetes Mellitus (T2DM) prevalence has significantly increased worldwide in recent years due to population age, obesity, and modern sedentary lifestyles. The projections estimate that 439 million people will be diabetic in 2030. T2DM is characterized by an impaired β-pancreatic cell function and insulin secretion, hyperglycemia and insulin resistance, and recently the epigenetic regulation of β-pancreatic cells differentiation has been underlined as being involved. It is currently known that several bioactive molecules, widely abundant in plants used as food or infusions, have a key role in histone modification and DNA methylation, and constituted potential epidrugs candidates against T2DM. In this sense, in this review the epigenetic mechanisms involved in T2DM and protein targets are reviewed, with special focus in studies addressing the potential use of phytochemicals as epidrugs that prevent and/or control T2DM in vivo and in vitro. As main findings, and although some controversial results have been found, bioactive molecules with epigenetic regulatory function, appear to be a potential replacement/complementary therapy of pharmacological hypoglycemic drugs, with minimal side effects. Indeed, natural epidrugs have shown to prevent or delay the T2DM development and the morbidity associated to dysfunction of blood vessels, eyes and kidneys due to sustained hyperglycemia in T2DM patients.
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Affiliation(s)
- Karina Ramírez-Alarcón
- Department of Nutrition and Dietetics, Faculty of Pharmacy, University of Concepción, Concepción, Chile
| | - Montserrat Victoriano
- Department of Nutrition and Dietetics, Faculty of Pharmacy, University of Concepción, Concepción, Chile
| | - Lorena Mardones
- Department of Basic Science, Faculty of Medicine, Universidad Catolica de la Santisima Concepcion, Concepción, Chile
| | - Marcelo Villagran
- Department of Basic Science, Faculty of Medicine, Universidad Catolica de la Santisima Concepcion, Concepción, Chile
- Scientific-Technological Center for the Sustainable Development of the Coastline, Universidad Catolica de la Santisima Concepcion, Concepción, Chile
| | - Ahmed Al-Harrasi
- Natural and Medical Sciences Research Centre, University of Nizwa, Birkat Al Mouz, Oman
- *Correspondence: Ahmed Al-Harrasi, ; Natália Cruz-Martins, ; Javad Sharifi-Rad, ; Miquel Martorell,
| | - Ahmed Al-Rawahi
- Natural and Medical Sciences Research Centre, University of Nizwa, Birkat Al Mouz, Oman
| | - Natália Cruz-Martins
- Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, Portugal
- Institute for Research and Innovation in Health (i3S), University of Porto, Porto, Portugal
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
- *Correspondence: Ahmed Al-Harrasi, ; Natália Cruz-Martins, ; Javad Sharifi-Rad, ; Miquel Martorell,
| | - Javad Sharifi-Rad
- Phytochemistry Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Facultad de Medicina, Universidad del Azuay, Cuenca, Ecuador
- *Correspondence: Ahmed Al-Harrasi, ; Natália Cruz-Martins, ; Javad Sharifi-Rad, ; Miquel Martorell,
| | - Miquel Martorell
- Department of Nutrition and Dietetics, Faculty of Pharmacy, University of Concepción, Concepción, Chile
- Centre for Healthy Living, University of Concepción, Concepción, Chile
- Universidad de Concepción, Unidad de Desarrollo Tecnológico, UDT, Concepción, Chile
- *Correspondence: Ahmed Al-Harrasi, ; Natália Cruz-Martins, ; Javad Sharifi-Rad, ; Miquel Martorell,
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Gao Q, Yuan X, Yang J, Fu X. Dietary profile and phenolics consumption in university students from the Ningxia Hui Autonomous Region of China. BMC Nutr 2020; 6:58. [PMID: 33292628 PMCID: PMC7672828 DOI: 10.1186/s40795-020-00386-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 09/24/2020] [Indexed: 11/10/2022] Open
Abstract
Background Polyphenol intake assessment is a first step for evaluating relationships between polyphenols and health-related outcomes. Ningxia Hui Autonomous Region is one of the minority areas in China, which is primarily consists of arid, dry desert. Objectives This study was to make assessment about phenolics intake by university students from Ningxia of China. Methods This study employed data from a cross-sectional survey conducted from February to June 2018 in Ningxia Hui Autonomous Region of Northwest China. A total of 413 undergraduate students (143 boys, 270 girls), mean age 20.6 years, participated in the study. Food-frequency consumption and anthropometric measurements were included in the survey. According to phenol-explorer website, the amount of different classes of phenolic compounds were established. Statistics analyses were conducted with IBM SPSS 20.0. Results Profile of the student subjects showed low weight (19.1%), overweight (6.8%) and obesity (0.5%). The mean value about phenolics intake was 1378 mg/day. The main polyphenols consumed were flavonoids (58.7% of total polyphenols), followed by phenolic acids (38.1%). Vegetables, fruits and cereals products were the most consumed foods, while infusions and sugar products were lower. Fruit was the main food sources of total polyphenols, especially apple (22.95%), orange juice (19.03%) and apple juice (3.93%). Conclusions This is the first study on the polyphenol intake of university students in Ningxia of China. The present results will be benefit for further investigation on the role of polyphenol intake against disease occurrence for this adults group.
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Affiliation(s)
- Qinghan Gao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
| | - Xiao Yuan
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Jianjun Yang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Xueyan Fu
- School of Pharmacy, Ningxia Medical University, Yinchuan, 750004, China
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Salehi-Sahlabadi A, Teymoori F, Jabbari M, Momeni A, Mokari-Yamchi A, Sohouli M, Hekmatdoost A. Dietary polyphenols and the odds of non-alcoholic fatty liver disease: A case-control study. Clin Nutr ESPEN 2020; 41:429-435. [PMID: 33487302 DOI: 10.1016/j.clnesp.2020.09.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 09/19/2020] [Accepted: 09/22/2020] [Indexed: 01/16/2023]
Abstract
OBJECTIVES Few epidemiological data are available regarding the associations of dietary intakes of polyphenols with non-alcoholic fatty liver disease (NAFLD). We sought to examine the associations of dietary intake of polyphenols with the prevalence of NAFLD. METHODS We analyzed data from a case-control study of 225 patients with NAFLD cases and 450 controls. All participants completed a validated 168-item food frequency questionnaire, the results of which were subsequently used to calculate dietary polyphenol. RESULTS Based on multivariate logistic regression analysis, after adjustment for age and sex, it was shown that participants who were in the highest tertile of total flavonoids (OR = 0.65, 95% CI = 0.44-0.98) and total phenolic acids (OR = 0.63, 95% CI = 0.42-0.94) were associated with a lower odds of NAFLD compared with the lowest tertile. Although the association of total flavonoids and the odds of NAFLD disappeared after additional adjustment for BMI, physical activity, smoking, SES, dietary fat, and energy intake (OR = 0.67, 95% CI = 0.38-1.19). The odds of NAFLD was 66% lower (OR = 0.44, CI = 0.24-0.78, p for trend = 0.006) among participants who were in the highest tertile of lignans intake compared with the lowest tertile. CONCLUSION Our study showed that a high intake of lignans lowers the odds of NAFLD. We strongly recommend that the concepts proposed in this study must be tested in future longitudinal researches, to determine the association of total and subgroup of polyphenol intake with different stages of fatty liver diseases.
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Affiliation(s)
- Ammar Salehi-Sahlabadi
- Student Research Committee, Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
| | - Masoumeh Jabbari
- Student Research Committee, Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Aref Momeni
- Department of Physical Education and Sport Science, Humanity Faculty, Semnan University, Semnan, Iran
| | - Amin Mokari-Yamchi
- Student Research Committee, Department of Community Nutrition, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammadhassan Sohouli
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Azita Hekmatdoost
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology, Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Williamson G, Sheedy K. Effects of Polyphenols on Insulin Resistance. Nutrients 2020; 12:E3135. [PMID: 33066504 PMCID: PMC7602234 DOI: 10.3390/nu12103135] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 12/11/2022] Open
Abstract
Insulin resistance (IR) is apparent when tissues responsible for clearing glucose from the blood, such as adipose and muscle, do not respond properly to appropriate signals. IR is estimated based on fasting blood glucose and insulin, but some measures also incorporate an oral glucose challenge. Certain (poly)phenols, as supplements or in foods, can improve insulin resistance by several mechanisms including lowering postprandial glucose, modulating glucose transport, affecting insulin signalling pathways, and by protecting against damage to insulin-secreting pancreatic β-cells. As shown by intervention studies on volunteers, the most promising candidates for improving insulin resistance are (-)-epicatechin, (-)-epicatechin-containing foods and anthocyanins. It is possible that quercetin and phenolic acids may also be active, but data from intervention studies are mixed. Longer term and especially dose-response studies on mildly insulin resistant participants are required to establish the extent to which (poly)phenols and (poly)phenol-rich foods may improve insulin resistance in compromised groups.
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Affiliation(s)
- Gary Williamson
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, BASE Facility, 264 Ferntree Gully Road, Notting Hill, VIC 3168, Australia;
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27
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Scoditti E. Neuroinflammation and Neurodegeneration: The Promising Protective Role of the Citrus Flavanone Hesperetin. Nutrients 2020; 12:nu12082336. [PMID: 32764233 PMCID: PMC7469010 DOI: 10.3390/nu12082336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 07/31/2020] [Indexed: 02/01/2023] Open
Abstract
Over the past 20 years, there has been a remarkable increase in the scientific interest in polyphenols, bioactive compounds naturally present in plant foods and beverages, due to the recognition of their biological actions, their great abundance in the human diet, and their plausible role in the prevention of various chronic degenerative diseases, such as cancer, cardiovascular and neurodegenerative diseases [...].
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Affiliation(s)
- Egeria Scoditti
- National Research Council (CNR) Institute of Clinical Physiology (IFC), 73100 Lecce, Italy
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28
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Sun C, Liu Y, Zhan L, Rayat GR, Xiao J, Jiang H, Li X, Chen K. Anti-diabetic effects of natural antioxidants from fruits. Trends Food Sci Technol 2020. [DOI: 10.1016/j.tifs.2020.07.024] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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29
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Rizzo G. The Antioxidant Role of Soy and Soy Foods in Human Health. Antioxidants (Basel) 2020; 9:antiox9070635. [PMID: 32708394 PMCID: PMC7402135 DOI: 10.3390/antiox9070635] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/08/2020] [Accepted: 07/16/2020] [Indexed: 02/07/2023] Open
Abstract
Oxidative stress seems to play a role in many chronic diseases, such as cardiovascular diseases, diabetes, and some cancers. Research is always looking for effective approaches in the prevention and treatment of these pathologies with safe strategies. Given the central role of nutrition, the identification of beneficial healthy foods can be the best key to having a safe and at the same time effective approach. Soy has always aroused great scientific interest but often this attention is galvanized by the interaction with estrogen receptors and related consequences on health. However, soy, soy foods, and soy bioactive substances seem to have antioxidant properties, suggesting their role in quenching reactive oxygen species, although it was frequently mentioned but not studied in depth. The purpose of this review is to summarize the scientific evidence of the antioxidant properties of soy by identifying the human clinical trials available in the literature. A total of 58 manuscripts were individuated through the literature search for the final synthesis. Soy bioactive substances involved in redox processes appear to be multiple and their use seems promising. Other larger clinical trials with adequate standardization and adequate choice of biomarkers will fill the gap currently existing on the suggestive role of soy in antioxidant mechanisms.
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Affiliation(s)
- Gianluca Rizzo
- Independent Researcher, Via Venezuela 66, 98121 Messina, Italy
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30
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Gao Q, Zhong C, Zhou X, Chen R, Xiong T, Hong M, Li Q, Kong M, Xiong G, Han W, Sun G, Yang X, Yang N, Hao L. Inverse association of total polyphenols and flavonoids intake and the intake from fruits with the risk of gestational diabetes mellitus: A prospective cohort study. Clin Nutr 2020; 40:550-559. [PMID: 32593522 DOI: 10.1016/j.clnu.2020.05.053] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 05/17/2020] [Accepted: 05/27/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND & AIMS Emerging evidence has shown the inverse association between dietary polyphenols intake and type 2 diabetes mellitus risk, however, few studies focus on the prospective effects of polyphenols on gestational diabetes mellitus (GDM). Thus, the aim was to evaluate whether higher polyphenols intake and the intake from fruits and vegetables was correlated to a lower risk of GDM. METHODS Dietary intake of polyphenols of women with a singleton pregnancy and without any history of diabetes were obtained by a validated food frequency questionnaire from Tongji Maternal and Child Health Cohort study. Oral glucose tolerance tests were conducted at 24-28 weeks to screen for GDM. Logistic regression models were used to evaluate the association between dietary intake of polyphenols, and the results were presented as odds ratios (ORs) with 95% confidence interval (CIs). Generalized linear models were adopted to determine the association of polyphenols intake with blood glucose concentrations, and the results were presented as coefficients (β) with 95% CIs. RESULTS 185 (8.3%) of 2231 pregnant women were diagnosed with GDM. The intake of total polyphenols was 319.9 (217.8-427.0) mg/d, and the intake from fruits and vegetables was 201.6 (115.3-281.8) mg/d and 63.2 (41.1-92.7) mg/d, respectively. Compared with the lowest quartile, the adjusted ORs (95% CIs) of GDM risk for women with the highest quartile of total polyphenols and flavonoids intake was 0.55 (0.30, 0.99), and 0.57 (0.32, 0.99). The adjusted ORs (95% CIs) of GDM risk was 0.55 0.51 (0.30, 0.87) (Pfor trend = 0.017) for polyphenols from fruits, 0.58 (0.34, 0.99) (Pfor trend = 0.038) for flavonoids from fruits, and 0.62 (0.38, 1.00) (Pfor trend = 0.065) for anthocyanidins from fruits comparing the highest versus lowest quartile. In addition, each 100 mg increase of total polyphenols and polyphenols from fruits was associated with 0.054 (0.008, 0.096) (P = 0.021) and 0.061 (0.012, 0.109) (P = 0.015) decrease in 2-h post-load blood glucose. No significant association was found between total polyphenols from vegetables intake and the risk of GDM. CONCLUSIONS Higher dietary intake of total polyphenols and flavonoids and the intake from fruits was associated with lower GDM risk. This study was registered at clinicaltrials.gov as NCT03099837.
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Affiliation(s)
- Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China; Department of Public Health, Jining Medical University, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Miao Hong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Man Kong
- The Central Hospital of Wuhan, China
| | | | | | | | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China.
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China.
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31
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Eriksen AK, Brunius C, Mazidi M, Hellström PM, Risérus U, Iversen KN, Fristedt R, Sun L, Huang Y, Nørskov NP, Knudsen KEB, Kyrø C, Olsen A, Tjønneland A, Dicksved J, Landberg R. Effects of whole-grain wheat, rye, and lignan supplementation on cardiometabolic risk factors in men with metabolic syndrome: a randomized crossover trial. Am J Clin Nutr 2020; 111:864-876. [PMID: 32097450 DOI: 10.1093/ajcn/nqaa026] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 01/31/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND A whole-grain (WG)-rich diet has shown to have potential for both prevention and treatment of the metabolic syndrome (MetS), which is a cluster of risk factors that increase the risk of type 2 diabetes and cardiovascular disease. Different WGs may have different health effects. WG rye, in particular, may improve glucose homeostasis and blood lipids, possibly mediated through fermentable dietary fiber and lignans. Recent studies have also suggested a crucial role of the gut microbiota in response to WG. OBJECTIVES The aim was to investigate WG rye, alone and with lignan supplements [secoisolariciresinol diglucoside (SDG)], and WG wheat diets on glucose tolerance [oral-glucose-tolerance test (OGTT)], other cardiometabolic outcomes, enterolignans, and microbiota composition. Moreover, we exploratively evaluated the role of gut microbiota enterotypes in response to intervention diets. METHODS Forty men with MetS risk profile were randomly assigned to WG diets in an 8-wk crossover study. The rye diet was supplemented with 280 mg SDG at weeks 4-8. Effects of treatment were evaluated by mixed-effects modeling, and effects on microbiota composition and the role of gut microbiota as a predictor of response to treatment were analyzed by random forest plots. RESULTS The WG rye diet (± SDG supplements) did not affect the OGTT compared with WG wheat. Total and LDL cholesterol were lowered (-0.06 and -0.09 mmol/L, respectively; P < 0.05) after WG rye compared with WG wheat after 4 wk but not after 8 wk. WG rye resulted in higher abundance of Bifidobacterium [fold-change (FC) = 2.58, P < 0.001] compared with baseline and lower abundance of Clostridium genus compared with WG wheat (FC = 0.54, P = 0.02). The explorative analyses suggest that baseline enterotype is associated with total and LDL-cholesterol response to diet. CONCLUSIONS WG rye, alone or with SDG supplementation, compared with WG wheat did not affect glucose metabolism but caused transient LDL-cholesterol reduction. The effect of WG diets appeared to differ according to enterotype. This trial was registered at www.clinicaltrials.gov as NCT02987595.
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Affiliation(s)
- Anne K Eriksen
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Carl Brunius
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Mohsen Mazidi
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Per M Hellström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Kia N Iversen
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Rikard Fristedt
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Li Sun
- Department of Molecular Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Yi Huang
- Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences, Uppsala, Sweden.,College of Animal Science and Technology, Guangxi University, Nanning, China
| | | | | | - Cecilie Kyrø
- Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anja Olsen
- Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- Unit of Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Johan Dicksved
- Department of Animal Nutrition and Management, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
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Castro-Barquero S, Tresserra-Rimbau A, Vitelli-Storelli F, Doménech M, Salas-Salvadó J, Martín-Sánchez V, Rubín-García M, Buil-Cosiales P, Corella D, Fitó M, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez JA, Serra-Majem L, Tinahones FJ, Lapetra J, Pintó X, Tur JA, Garcia-Rios A, García-Molina L, Delgado-Rodriguez M, Matía-Martín P, Daimiel L, Vidal J, Vázquez C, Cofán M, Romanos-Nanclares A, Becerra-Tomas N, Barragan R, Castañer O, Konieczna J, González-Palacios S, Sorto-Sánchez C, Pérez-López J, Zulet MA, Bautista-Castaño I, Casas R, Gómez-Perez AM, Santos-Lozano JM, Rodríguez-Sanchez MÁ, Julibert A, Martín-Calvo N, Hernández-Alonso P, Sorlí JV, Sanllorente A, Galmés-Panadés AM, Cases-Pérez E, Goicolea-Güemez L, Ruiz-Canela M, Babio N, Hernáez Á, Lamuela-Raventós RM, Estruch R. Dietary Polyphenol Intake is Associated with HDL-Cholesterol and A Better Profile of other Components of the Metabolic Syndrome: A PREDIMED-Plus Sub-Study. Nutrients 2020; 12:E689. [PMID: 32143308 PMCID: PMC7146338 DOI: 10.3390/nu12030689] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 02/28/2020] [Accepted: 02/29/2020] [Indexed: 12/20/2022] Open
Abstract
Dietary polyphenol intake is associated with improvement of metabolic disturbances. The aims of the present study are to describe dietary polyphenol intake in a population with metabolic syndrome (MetS) and to examine the association between polyphenol intake and the components of MetS. This cross-sectional analysis involved 6633 men and women included in the PREDIMED (PREvención con DIeta MEDiterranea-Plus) study. The polyphenol content of foods was estimated from the Phenol-Explorer 3.6 database. The mean of total polyphenol intake was 846 ± 318 mg/day. Except for stilbenes, women had higher polyphenol intake than men. Total polyphenol intake was higher in older participants (>70 years of age) compared to their younger counterparts. Participants with body mass index (BMI) >35 kg/m2 reported lower total polyphenol, flavonoid, and stilbene intake than those with lower BMI. Total polyphenol intake was not associated with a better profile concerning MetS components, except for high-density lipoprotein cholesterol (HDL-c), although stilbenes, lignans, and other polyphenols showed an inverse association with blood pressure, fasting plasma glucose, and triglycerides. A direct association with HDL-c was found for all subclasses except lignans and phenolic acids. To conclude, in participants with MetS, higher intake of several polyphenol subclasses was associated with a better profile of MetS components, especially HDL-c.
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Grants
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI1 Fondo de Investigación para la Salud (FIS)
- PI044003 Fundació la Marató de TV3
- AGL2016-75329-R Consejería de Salud de la Junta de Andalucía
- CB06/03 European Regional Development Fund
- 2013ACUP00194 Recercaixa
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Affiliation(s)
- Sara Castro-Barquero
- Department of Medicine, Faculty of Medicine and Life Sciences, University of Barcelona, Barcelona, Spain. Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (M.D.); (R.C.); (Á.H.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
| | - Anna Tresserra-Rimbau
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43204 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Facundo Vitelli-Storelli
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain; (F.V.-S.); (V.M.-S.); (M.R.-G.)
| | - Mónica Doménech
- Department of Medicine, Faculty of Medicine and Life Sciences, University of Barcelona, Barcelona, Spain. Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (M.D.); (R.C.); (Á.H.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43204 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Vicente Martín-Sánchez
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain; (F.V.-S.); (V.M.-S.); (M.R.-G.)
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (L.G.-M.); (S.G.-P.)
| | - María Rubín-García
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain; (F.V.-S.); (V.M.-S.); (M.R.-G.)
| | - Pilar Buil-Cosiales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- University of Navarra, Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain;
- Servicio Navarro de Salud-Osasunbidea-Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Cardiovascular Risk and Nutrition Research group, Institut Hospital del Mar de Investigaciones Médicas (IMIM), 08007 Barcelona, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (Research Unit), 07120 Palma de Mallorca, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (L.G.-M.); (S.G.-P.)
- Miguel Hernandez University, ISABIAL-FISABIO, 03010 Alicante, Spain;
| | - Ángel María Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Nursing. University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain
| | - José Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Luís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain
| | - Francisco José Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41010 Sevilla, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, IDIBELL, Hospitalet de Llobregat, 08908 Barcelona, Spain;
| | - Josep Antonio Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (Research Unit), 07120 Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain;
| | - Laura García-Molina
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (L.G.-M.); (S.G.-P.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Miguel Delgado-Rodriguez
- Miguel Hernandez University, ISABIAL-FISABIO, 03010 Alicante, Spain;
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Lidia Daimiel
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, 28040 Madrid, Spain
| | - Montserrat Cofán
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Andrea Romanos-Nanclares
- University of Navarra, Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain;
| | - Nerea Becerra-Tomas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43204 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Rocio Barragan
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Cardiovascular Risk and Nutrition Research group, Institut Hospital del Mar de Investigaciones Médicas (IMIM), 08007 Barcelona, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (Research Unit), 07120 Palma de Mallorca, Spain
| | - Sandra González-Palacios
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (L.G.-M.); (S.G.-P.)
- Miguel Hernandez University, ISABIAL-FISABIO, 03010 Alicante, Spain;
| | - Carolina Sorto-Sánchez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Jessica Pérez-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Nursing. University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain
| | - María Angeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Inmaculada Bautista-Castaño
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain
| | - Rosa Casas
- Department of Medicine, Faculty of Medicine and Life Sciences, University of Barcelona, Barcelona, Spain. Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (M.D.); (R.C.); (Á.H.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
| | - Ana María Gómez-Perez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41010 Sevilla, Spain
| | - María Ángeles Rodríguez-Sanchez
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, IDIBELL, Hospitalet de Llobregat, 08908 Barcelona, Spain;
| | - Alicia Julibert
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (Research Unit), 07120 Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Nerea Martín-Calvo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- University of Navarra, Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain;
| | - Pablo Hernández-Alonso
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43204 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición del Hospital Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Albert Sanllorente
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Cardiovascular Risk and Nutrition Research group, Institut Hospital del Mar de Investigaciones Médicas (IMIM), 08007 Barcelona, Spain
| | - Aina María Galmés-Panadés
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (Research Unit), 07120 Palma de Mallorca, Spain
| | | | - Leire Goicolea-Güemez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Bioaraba Health Research Institute; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- University of Navarra, Department of Preventive Medicine and Public Health, Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Spain;
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, 43204 Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
| | - Álvaro Hernáez
- Department of Medicine, Faculty of Medicine and Life Sciences, University of Barcelona, Barcelona, Spain. Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (M.D.); (R.C.); (Á.H.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
| | - Rosa María Lamuela-Raventós
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Nutrition, Food Science and Gastronomy, XaRTA, INSA, School of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain
| | - Ramon Estruch
- Department of Medicine, Faculty of Medicine and Life Sciences, University of Barcelona, Barcelona, Spain. Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), 08036 Barcelona, Spain; (S.C.-B.); (M.D.); (R.C.); (Á.H.)
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain (J.S.-S.); (P.B.-C.); (D.C.); (M.F.); (D.R.); (Á.M.A.-G.); (J.W.); (J.A.M.); (L.S.-M.); (F.J.T.); (J.L.); (X.P.); (J.A.T.); (C.V.); (M.C.); (N.B.-T.); (R.B.); (O.C.); (J.K.); (C.S.-S.); (J.P.-L.); (M.A.Z.); (I.B.-C.); (A.M.G.-P.); (J.M.S.-L.); (A.J.); (N.M.-C.); (P.H.-A.); (J.V.S.); (A.S.); (A.M.G.-P.); (L.G.-G.); (M.R.-C.); (N.B.); (R.M.L.-R.)
- Department of Internal Medicine, Hospital Clinic de Barcelona, 08036 Barcelona, Spain
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Esfandiar Z, Hosseini-Esfahani F, Mirmiran P, Yuzbashian E, Azizi F. The Association of Dietary Polyphenol Intake with the Risk of Type 2 Diabetes: Tehran Lipid and Glucose Study. Diabetes Metab Syndr Obes 2020; 13:1643-1652. [PMID: 32523364 PMCID: PMC7234961 DOI: 10.2147/dmso.s238483] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 04/17/2020] [Indexed: 12/19/2022] Open
Abstract
PURPOSE The current study aimed to investigate the relationship between daily consumption of total polyphenol and its subclasses and the incidence of diabetes. MATERIALS AND METHODS Eligible adults (n=6,547) were chosen from among participants of the Tehran Lipid and Glucose Study (TLGS) with an average follow-up of 3.0±1.6 years. Dietary intakes were evaluated using a valid and reliable semi-quantitative food frequency questionnaire. Biochemical variables and anthropometrics were evaluated at baseline and follow-up examinations. Multivariate Cox proportional hazard regression models were used to estimate the development of type 2 diabetes mellitus (T2DM) in relation to total intake of polyphenol and its subclasses (flavonoids, phenolic acids, stilbenes, and lignans). RESULTS This study was conducted on 2,882 men and 3,665 women, aged 41.3±14.6 and 39.0±13.4 years, respectively. The number of participants with the new-onset T2DM was 253. Mean intake of total polyphenol was 346±245 mg/1000 kcal. Risk of type 2 diabetes decreased from quartiles 1 to 4 for total polyphenols (HR: 1.00, 0.37, 0.61, 0.50, P trend<0.01), phenolic acids (HR: 1.00, 0.57, 0.49, 0.45, P trend<0.01), and lignans (HR: 1.00, 0.67, 0.61, 0.60, P trend<0.01), whereas non-significant results were found for flavonoids and stilbenes. This study suggests an inverse association between total intake of polyphenols, phenolic acids, and lignin, and the risk of T2DM. CONCLUSION These results emphasize the potential protective role of polyphenol rich food groups (especially fruits and vegetables) in the prevention of T2DM.
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Affiliation(s)
- Zohreh Esfandiar
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Firoozeh Hosseini-Esfahani
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Firoozeh Hosseini-Esfahani Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran Email
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Correspondence: Parvin Mirmiran Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, IranTel +98 21 22432500Fax +98 21 22402463 Email
| | - Emad Yuzbashian
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Associations between Dietary Polyphenols and Type 2 Diabetes in a Cross-Sectional Analysis of the PREDIMED-Plus Trial: Role of Body Mass Index and Sex. Antioxidants (Basel) 2019; 8:antiox8110537. [PMID: 31717390 PMCID: PMC6912253 DOI: 10.3390/antiox8110537] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 10/30/2019] [Indexed: 02/08/2023] Open
Abstract
Overweight and obesity are important risk factors for type 2 diabetes (T2D). Moving towards healthier diets, namely, diets rich in bioactive compounds, could decrease the odds of suffering T2D. However, those individuals with high body mass index (BMI) may have altered absorption or metabolism of some nutrients and dietary components, including polyphenols. Therefore, we aimed to assess whether high intakes of some classes of polyphenols are associated with T2D in a population with metabolic syndrome and how these associations depend on BMI and sex. This baseline cross-sectional analysis includes 6633 participants from the PREDIMED-Plus trial. Polyphenol intakes were calculated from food frequency questionnaires (FFQ). Cox regression models with constant time at risk and robust variance estimators were used to estimate the prevalence ratios (PRs) for polyphenol intake and T2D prevalence using the lowest quartile as the reference group. Analyses were stratified by sex and BMI groups (overweight and obese) to evaluate potential effect modification. Catechins, proanthocyanidins, hydroxybenzoic acids, and lignans were inversely associated with T2D. Hydroxycinnamic acids were directly related in men. These associations were different depending on sex and BMI, that is, women and overweight obtained stronger inverse associations.
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Raman G, Avendano EE, Chen S, Wang J, Matson J, Gayer B, Novotny JA, Cassidy A. Dietary intakes of flavan-3-ols and cardiometabolic health: systematic review and meta-analysis of randomized trials and prospective cohort studies. Am J Clin Nutr 2019; 110:1067-1078. [PMID: 31504087 PMCID: PMC6821550 DOI: 10.1093/ajcn/nqz178] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 07/10/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Although available data suggest that some dietary flavan-3-ol sources reduce cardiometabolic risk, to our knowledge no review has systematically synthesized their specific contribution. OBJECTIVE We aimed to examine, for the first time, if there is consistent evidence that higher flavan-3-ol intake, irrespective of dietary source, reduces cardiometabolic risk. METHODS MEDLINE, Cochrane Central, and Commonwealth Agricultural Bureau abstracts were searched for prospective cohorts and randomized controlled trials (RCTs) published from 1946 to March 2019 on flavan-3-ol intake and cardiovascular disease (CVD) risk. Random-effects models meta-analysis was used. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach assessed the strength of evidence. RESULTS Of 15 prospective cohorts (23 publications), 4 found highest compared with lowest habitual intakes of flavan-3-ols were associated with a 13% reduction in risk of CVD mortality and 2 found a 19% reduction in risk of chronic heart disease (CHD) incidence. Highest compared with lowest habitual intakes of monomers were associated with a reduction in risk of type 2 diabetes mellitus (T2DM) (n = 5) and stroke (n = 4) (10% and 18%, respectively). No association was found for hypertension. Of 156 RCTs, flavan-3-ol intervention resulted in significant improvements in acute/chronic flow-mediated dilation (FMD), systolic (SBP) and diastolic blood pressure (DBP), total cholesterol (TC), LDL and HDL cholesterol, triglycerides (TGs), hemoglobin A1c (HbA1c), and homeostasis model assessment of insulin resistance (HOMA-IR). All analyses, except HbA1c, were associated with moderate/high heterogeneity. When analyses were limited to good methodological quality studies, improvements in TC, HDL cholesterol, SBP, DBP, HOMA-IR, and acute/chronic FMD remained significant. In GRADE evaluations, there was moderate evidence in cohort studies that flavan-3-ol and monomer intakes were associated with reduced risk of CVD mortality, CHD, stroke, and T2DM, whereas RCTs reported improved TC, HDL cholesterol, SBP, and HOMA-IR. CONCLUSIONS Available evidence supports a beneficial effect of flavan-3-ol intake on cardiometabolic outcomes, but there was considerable heterogeneity in the meta-analysis. Future research should focus on an integrated intake/biomarker approach in cohorts and high-quality dose-response RCTs. This review was registered at www.crd.york.ac.uk/PROSPERO/ as CRD42018035782.
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Affiliation(s)
- Gowri Raman
- Tufts Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA,Address correspondence to GR (e-mail: )
| | - Esther E Avendano
- Tufts Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Siyu Chen
- Tufts Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA,Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA
| | - Jiaqi Wang
- Tufts Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA,Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA
| | - Julia Matson
- Department of Biology, Brandeis University, Waltham, MA, USA
| | - Bridget Gayer
- Tufts Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA,Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA
| | - Janet A Novotny
- Beltsville Human Nutrition Research Center, Agricultural Research Service, USDA, Beltsville, MD, USA
| | - Aedín Cassidy
- Institute for Global Food Security, Queen's University Belfast, Belfast, United Kingdom
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Konishi K, Wada K, Yamakawa M, Goto Y, Mizuta F, Koda S, Uji T, Tsuji M, Nagata C. Dietary Soy Intake Is Inversely Associated with Risk of Type 2 Diabetes in Japanese Women but Not in Men. J Nutr 2019; 149:1208-1214. [PMID: 31079144 DOI: 10.1093/jn/nxz047] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 10/24/2018] [Accepted: 02/26/2019] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Whole soy foods, as well as their components, including protein and isoflavones, have garnered attention because they may have beneficial effects against diabetes. OBJECTIVES We examined associations between the intake of soy foods, soy protein, and soy isoflavones and the risk of diabetes in the Japanese population. METHODS This prospective cohort study included 13,521 residents (5883 men and 7638 women; 35-69 y old) of Takayama City, Japan. The subjects responded to a self-administered baseline questionnaire in 1992 and to a follow-up questionnaire seeking information about diabetes in 2002. Their mean ± SD body mass index was 22.6 ± 2.6 kg/m2 (men) and 22.1 ± 2.7 (women). The intakes of total soy foods, fried soy foods, nonfried soy foods, soy protein, and soy isoflavones were estimated through the use of a validated food-frequency questionnaire administered in 1992. Associations between soy intake and the risk of diabetes were evaluated through the use of Cox proportional hazards models incorporating age, education level, physical activity, smoking status, alcohol consumption, history of hypertension, use of vitamin supplements, menopausal status, and dietary factors including glycemic load, total energy, total fat, meat, fruit, vegetables, and coffee. RESULTS During a 10-y follow-up, 438 participants reported physician-diagnosed diabetes. Women in the highest tertile of intakes of total soy foods, fried soy foods, nonfried soy foods, soy protein, and soy isoflavone had significantly lower HRs, after controlling for covariates, than those with the lowest intakes. For example, HRs were 0.45 (95% CI: 0.30, 0.68; P-trend <0.001) for total soy food intake. In men, there were no significant associations between soy intake and the risk of diabetes. CONCLUSIONS These results suggest that a high soy intake may be associated with a lower risk of diabetes in Japanese women.
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Affiliation(s)
- Kie Konishi
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
| | - Michiyo Yamakawa
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
| | - Yuko Goto
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
| | - Fumi Mizuta
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
| | - Sachi Koda
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
| | - Takahiro Uji
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
| | - Michiko Tsuji
- Department of Food Science and Nutrition, Nagoya Women's University, Nagoya, Japan
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Graduate School of Medicine, Gifu, Japan
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Stevens Y, Rymenant EV, Grootaert C, Camp JV, Possemiers S, Masclee A, Jonkers D. The Intestinal Fate of Citrus Flavanones and Their Effects on Gastrointestinal Health. Nutrients 2019; 11:nu11071464. [PMID: 31252646 PMCID: PMC6683056 DOI: 10.3390/nu11071464] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 06/21/2019] [Accepted: 06/24/2019] [Indexed: 02/06/2023] Open
Abstract
Citrus flavanones, with hesperidin and naringin as the most abundant representatives, have various beneficial effects, including anti-oxidative and anti-inflammatory activities. Evidence also indicates that they may impact the intestinal microbiome and are metabolized by the microbiota as well, thereby affecting their bioavailability. In this review, we provide an overview on the current evidence on the intestinal fate of hesperidin and naringin, their interaction with the gut microbiota, and their effects on intestinal barrier function and intestinal inflammation. These topics will be discussed as they may contribute to gastrointestinal health in various diseases. Evidence shows that hesperidin and naringin are metabolized by intestinal bacteria, mainly in the (proximal) colon, resulting in the formation of their aglycones hesperetin and naringenin and various smaller phenolics. Studies have also shown that citrus flavanones and their metabolites are able to influence the microbiota composition and activity and exert beneficial effects on intestinal barrier function and gastrointestinal inflammation. Although the exact underlying mechanisms of action are not completely clear and more research in human subjects is needed, evidence so far suggests that citrus flavanones as well as their metabolites have the potential to contribute to improved gastrointestinal function and health.
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Affiliation(s)
- Yala Stevens
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
- BioActor BV, Gaetano Martinolaan 85, 6229 GS Maastricht, The Netherlands.
| | - Evelien Van Rymenant
- Department of Food Technology, Safety and Health, Research Group Food Chemistry and Human Nutrition, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Charlotte Grootaert
- Department of Food Technology, Safety and Health, Research Group Food Chemistry and Human Nutrition, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - John Van Camp
- Department of Food Technology, Safety and Health, Research Group Food Chemistry and Human Nutrition, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | | | - Adrian Masclee
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Daisy Jonkers
- Department of Internal Medicine, Division of Gastroenterology-Hepatology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
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Del Bo' C, Bernardi S, Marino M, Porrini M, Tucci M, Guglielmetti S, Cherubini A, Carrieri B, Kirkup B, Kroon P, Zamora-Ros R, Liberona NH, Andres-Lacueva C, Riso P. Systematic Review on Polyphenol Intake and Health Outcomes: Is there Sufficient Evidence to Define a Health-Promoting Polyphenol-Rich Dietary Pattern? Nutrients 2019; 11:E1355. [PMID: 31208133 PMCID: PMC6627994 DOI: 10.3390/nu11061355] [Citation(s) in RCA: 215] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 05/31/2019] [Accepted: 06/03/2019] [Indexed: 12/21/2022] Open
Abstract
Growing evidence support association between polyphenol intake and reduced risk for chronic diseases, even if there is a broad debate about the effective amount of polyphenols able to exert such protective effect. The present systematic review provides an overview of the last 10-year literature on the evaluation of polyphenol intake and its association with specific disease markers and/or endpoints. An estimation of the mean total polyphenol intake has been performed despite the large heterogeneity of data reviewed. In addition, the contribution of dietary sources was considered, suggesting tea, coffee, red wine, fruit and vegetables as the main products providing polyphenols. Total flavonoids and specific subclasses, but not total polyphenols, have been apparently associated with a low risk of diabetes, cardiovascular events and all-cause mortality. However, large variability in terms of methods for the evaluation and quantification of polyphenol intake, markers and endpoints considered, makes it still difficult to establish an evidence-based reference intake for the whole class and subclass of compounds. Nevertheless, the critical mass of data available seem to strongly suggest the protective effect of a polyphenol-rich dietary pattern even if further well targeted and methodologically sound research should be encouraged in order to define specific recommendations.
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Affiliation(s)
- Cristian Del Bo'
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20133 Milan, Italy.
| | - Stefano Bernardi
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20133 Milan, Italy.
| | - Mirko Marino
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20133 Milan, Italy.
| | - Marisa Porrini
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20133 Milan, Italy.
| | - Massimiliano Tucci
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20133 Milan, Italy.
| | - Simone Guglielmetti
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20133 Milan, Italy.
| | - Antonio Cherubini
- Geriatria, Accettazione Geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, 60127 Ancona, Italy.
| | - Barbara Carrieri
- Geriatria, Accettazione Geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, 60127 Ancona, Italy.
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, 60131 Ancona, Italy.
| | - Benjamin Kirkup
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UG, UK.
| | - Paul Kroon
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UG, UK.
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Programme, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 L'Hospitalet de Llobregat, Spain.
| | - Nicole Hidalgo Liberona
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain.
- CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain.
- CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, 28029 Madrid, Spain.
| | - Patrizia Riso
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano, 20133 Milan, Italy.
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Markulin L, Corbin C, Renouard S, Drouet S, Gutierrez L, Mateljak I, Auguin D, Hano C, Fuss E, Lainé E. Pinoresinol-lariciresinol reductases, key to the lignan synthesis in plants. PLANTA 2019; 249:1695-1714. [PMID: 30895445 DOI: 10.1007/s00425-019-03137-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 03/12/2019] [Indexed: 05/20/2023]
Abstract
This paper provides an overview on activity, stereospecificity, expression and regulation of pinoresinol-lariciresinol reductases in plants. These enzymes are shared by the pathways to all 8-8' lignans derived from pinoresinol. Pinoresinol-lariciresinol reductases (PLR) are enzymes involved in the lignan biosynthesis after the initial dimerization of two monolignols. They catalyze two successive reduction steps leading to the production of lariciresinol or secoisolariciresinol from pinoresinol. Two secoisolariciresinol enantiomers can be synthetized with different fates. Depending on the plant species, these enantiomers are either final products (e.g., in the flaxseed where it is stored after glycosylation) or are the starting point for the synthesis of a wide range of lignans, among which the aryltetralin type lignans are used to semisynthesize anticancer drugs such as Etoposide®. Thus, the regulation of the gene expression of PLRs as well as the possible specificities of these reductases for one reduction step or one enantiomer are key factors to fine-tune the lignan synthesis. Results published in the last decade have shed light on the presence of more than one PLR in each plant and revealed various modes of action. Nevertheless, there are not many results published on the PLRs and most of them were obtained in a limited range of species. Indeed, a number of them deal with wild and cultivated flax belonging to the genus Linum. Despite the occurrence of lignans in bryophytes, pteridophytes and monocots, data on PLRs in these taxa are still missing and indeed the whole diversity of PLRs is still unknown. This review summarizes the data, published mainly in the last decade, on the PLR gene expression, enzymatic activity and biological function.
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Affiliation(s)
| | | | | | - Samantha Drouet
- Centre Régional de Ressources en Biologie Moléculaire (CRRBM), Université Picardie Jules Verne, 33 rue Saint-Leu, 80039, Amiens, France
| | - Laurent Gutierrez
- Centre Régional de Ressources en Biologie Moléculaire (CRRBM), Université Picardie Jules Verne, 33 rue Saint-Leu, 80039, Amiens, France
| | - Ivan Mateljak
- LBLGC, INRA USC 1328 Université d'Orléans, Orléans, France
| | - Daniel Auguin
- LBLGC, INRA USC 1328 Université d'Orléans, Orléans, France
| | | | - Elisabeth Fuss
- Interfaculty Institute of Biochemistry, Hoppe-Seyler-St. 4, 72076, Tübingen, Germany
| | - Eric Lainé
- LBLGC, INRA USC 1328 Université d'Orléans, Orléans, France.
- LBLGC, INRA USC 1328 Antenne Scientifique Universitaire de Chartres, 21 rue de Loigny, 28000, Chartres, France.
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Curtis PJ, van der Velpen V, Berends L, Jennings A, Feelisch M, Umpleby AM, Evans M, Fernandez BO, Meiss MS, Minnion M, Potter J, Minihane AM, Kay CD, Rimm EB, Cassidy A. Blueberries improve biomarkers of cardiometabolic function in participants with metabolic syndrome-results from a 6-month, double-blind, randomized controlled trial. Am J Clin Nutr 2019; 109:1535-1545. [PMID: 31136659 PMCID: PMC6537945 DOI: 10.1093/ajcn/nqy380] [Citation(s) in RCA: 147] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 12/10/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Anthocyanin-rich blueberry intake is associated with reduced type 2 diabetes and cardiovascular disease (CVD) risk in prospective studies, although long-term randomized controlled trials (RCTs) have not been conducted in at-risk populations. OBJECTIVE In the longest-duration RCT to date, we examined the effect of 6-mo blueberry intake on insulin resistance and cardiometabolic function in metabolic syndrome. METHODS A double-blind, parallel RCT (n = 115; age 63 ± 7 y; 68% male; body mass index 31.2 ± 3.0 kg/m2) was conducted, which fed 2 dietarily achievable blueberry intakes [equivalent to 1/2 and 1 cup/d (75/150 g)] compared with matched placebo. Insulin resistance was assessed via the homeostasis model assessment of insulin resistance (primary endpoint) and confirmed by [6-6-2H2]-glucose-labeled, 2-step hyperinsulinemic clamp (n = 20). Clinically relevant cardiometabolic endpoints [including flow-mediated dilatation, augmentation index, lipoprotein status (by nuclear magnetic resonance spectroscopy), and nitric oxide (NO)-related metabolite assay] and anthocyanin metabolism were assessed. RESULTS A daily intake of 1 cup of blueberries improved endothelial function (flow-mediated dilatation: +1.45%; 95% CI: 0.83%, 2.1%; P = 0.003), systemic arterial stiffness (augmentation index: -2.24%; 95% CI: -3.97%, -0.61%; P = 0.04) and attenuated cyclic guanosine monophosphate concentrations. In statin nonusers (n = 71), elevated high-density lipoprotein cholesterol (+0.08 mmol/L; P = 0.03), high-density lipoprotein particle density (+0.48n, ×10-6; P = 0.002) and apolipoprotein A-I (+0.05 g/L; P = 0.01) concentrations were observed following the 1-cup/d intervention. Treatment compliance was 94.1% (wrapper returns) and total concentrations of anthocyanin-derived phenolic acid metabolites significantly increased, dose-dependently, in serum and 24-h urine (P < 0.01 and P < 0.001, respectively). Insulin resistance, pulse wave velocity, blood pressure, NO, and overall plasma thiol status were unaffected. Likewise, a half cup per day had no effect on any biomarkers. CONCLUSIONS Despite insulin resistance remaining unchanged we show, to our knowledge, the first sustained improvements in vascular function, lipid status, and underlying NO bioactivity following 1 cup blueberries/d. With effect sizes predictive of 12-15% reductions in CVD risk, blueberries should be included in dietary strategies to reduce individual and population CVD risk. This study was registered at clinicaltrials.gov as NCT02035592.
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Affiliation(s)
- Peter J Curtis
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Vera van der Velpen
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Lindsey Berends
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Amy Jennings
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Martin Feelisch
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - A Margot Umpleby
- Department of Nutritional Sciences, University of Surrey, Guildford, United Kingdom
| | - Mark Evans
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom
| | - Bernadette O Fernandez
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Mia S Meiss
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Magdalena Minnion
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - John Potter
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Anne-Marie Minihane
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Colin D Kay
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Eric B Rimm
- Departments of Epidemiology & Nutrition, Harvard TH Chan School of Public Health, and Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Aedín Cassidy
- Department of Nutrition & Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, United Kingdom,Address correspondence to AC (e-mail: )
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Mohan R, Jose S, Mulakkal J, Karpinsky-Semper D, Swick AG, Krishnakumar IM. Water-soluble polyphenol-rich clove extract lowers pre- and post-prandial blood glucose levels in healthy and prediabetic volunteers: an open label pilot study. Altern Ther Health Med 2019; 19:99. [PMID: 31064377 PMCID: PMC6503551 DOI: 10.1186/s12906-019-2507-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 04/16/2019] [Indexed: 01/21/2023]
Abstract
BACKGROUND/OBJECTIVES Type 2 diabetes (T2D) is a global pandemic, and contributes significantly to the increasing incidence of conditions such as cardiovascular disease (CVD). Postprandial plasma glucose measured 2-h after the start of a meal is a good indicator of the overall status of glucose homeostasis. Clove (Syzygium aromaticum L.) and its essential oils (eugenol and acetyl eugenol) have been shown in preclinical studies to modulate pathways involved in glucose homeostasis. In addition, a water-soluble polyphenolic extract of unopened clove buds was recently shown to benefit liver function and redox status. Therefore, we conducted an open-label pilot study to test whether this polyphenolic clove extract (PCE) could influence glucose metabolism. METHODS We evaluated the effect of PCE supplementation (250 mg once daily for 30 days) on preprandial glucose levels and 2-h postprandial glucose levels in 13 otherwise healthy volunteers who were stratified into two groups according to their initial preprandial glucose levels: Group I (n = 7) ≤100 mg/dL, Group II (n = 6) - between 101 and 125 mg/dL. In an effort to elucidate the molecular mechanisms of PCE action, we tested in vitro the effects of PCE on glucose uptake, hepatocyte glucose production, and carbohydrate hydrolyzing enzymes. RESULTS At day 12 of supplementation, we observed statistically significant reductions in mean postprandial glucose levels in both groups [(Group I: Initial - Day 12 PPG = 13.29 mg/dL, 95% CI: 3.329-23.24) (Group II: Initial - Day 12 PPG = 16.67 mg/dL, 95% CI: 4.687-28.65, P = 0.0159)], which continued through study completion at day 30. PCE supplementation significantly decreased mean preprandial glucose levels only in Group II at Days 24 (Initial - Day 24 = 13.00 mg/dL, 95% CI: 1.407-24.59, P = 0.0345) and 30 (Initial - Day 30 = 13.67 mg/dL, 95% CI: 5.766-21.57, P = 0.0067). In cell-based assays, PCE enhanced glucose uptake in L6 myocytes and inhibited hepatocyte glucose production HepG2 cells. In cell-free assays, PCE inhibited α-amylase activity and α-glucosidase activity. CONCLUSIONS These findings underscore the therapeutic utility of PCE for maintaining healthy glucose metabolism and warrant further larger-scale clinical trials. TRIAL REGISTRATION This trial was retrospectively registered in the ISRCTN registry on September 29, 2018 ( ISRCTN15680985 ).
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Jiao Y, Chen D, Fan M, Young Quek S. UPLC-QqQ-MS/MS-based phenolic quantification and antioxidant activity assessment for thinned young kiwifruits. Food Chem 2019; 281:97-105. [DOI: 10.1016/j.foodchem.2018.12.062] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 12/04/2018] [Accepted: 12/10/2018] [Indexed: 01/10/2023]
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43
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Guo XF, Ruan Y, Li ZH, Li D. Flavonoid subclasses and type 2 diabetes mellitus risk: a meta-analysis of prospective cohort studies. Crit Rev Food Sci Nutr 2019; 59:2850-2862. [DOI: 10.1080/10408398.2018.1476964] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Xiao-fei Guo
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, China
| | - Yue Ruan
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, China
| | - Zi-hao Li
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, China
| | - Duo Li
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, China
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44
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Metabolic Syndrome: Preventive Effects of Dietary Flavonoids. STUDIES IN NATURAL PRODUCTS CHEMISTRY 2019. [DOI: 10.1016/b978-0-444-64181-6.00001-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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45
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Grape pomace polyphenols improve insulin response to a standard meal in healthy individuals: A pilot study. Clin Nutr 2018; 38:2727-2734. [PMID: 30573355 DOI: 10.1016/j.clnu.2018.11.028] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 11/27/2018] [Accepted: 11/29/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND & AIMS Dietary polyphenols have beneficial effects on glucose/lipid metabolism in subjects at high risk to develop type 2 diabetes; however, the underlying mechanisms are not clear. We aimed to evaluate: 1) the acute effects of the consumption of a drink rich in polyphenols from red grape pomace (RGPD) on glucose/insulin and triglyceride responses to a standard meal in healthy individuals, and, 2) the relationship between plasma levels of phenolic metabolites and metabolic parameters. METHODS Twelve healthy men, aged 20-40 years participated in a randomized, controlled study according to a cross-over design. After a 3-day low-polyphenol diet, all participants consumed, on two different days and separated by a one week interval, after an overnight fast, a drink rich in polyphenols (1.562 g gallic acid equivalents (GAE)) or a control drink (CD, no polyphenols), followed after 3 h by a standard meal (960 kcal, 18% protein, 30% fat, 52% CHO). Blood samples were taken at fasting, 3 h after the drink, over 5 h after the standard meal and at fasting on the next day to measure plasma concentrations of glucose, insulin, triglyceride and phenolic metabolites. RESULTS Glycemic and triglyceride post-meal responses were similar after both the RGPD and the control drink. In contrast, postprandial insulin incremental area (iAUC0-5h) was 31% lower (p < 0.05), insulin secretion index was 18% lower (p < 0.016) and insulin sensitivity (SI) index was 36% higher (p = 0.037) after the RGPD compared to CD. Among phenolic metabolites, gallic acid correlated inversely with the insulin response (r = -0.604; p = 0.032) and positively with the SI index (r = 0.588, p = 0.037). CONCLUSIONS RGPD consumption acutely reduced postprandial insulin levels and improved insulin sensitivity. This effect could be likely related to the increase in gallic acid levels. This drink, added to usual diet, could contribute to increase the daily intake of polyphenols, with potential health benefits. CLINICALTRIALS. GOV IDENTIFIER NCT02865278.
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Glisic M, Kastrati N, Gonzalez-Jaramillo V, Bramer WM, Ahmadizar F, Chowdhury R, Danser AHJ, Roks AJM, Voortman T, Franco OH, Muka T. Associations between Phytoestrogens, Glucose Homeostasis, and Risk of Diabetes in Women: A Systematic Review and Meta-Analysis. Adv Nutr 2018; 9:726-740. [PMID: 30462180 PMCID: PMC6247339 DOI: 10.1093/advances/nmy048] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Phytoestrogens might have advantageous effects on diabetes in women. We performed a systematic review and meta-analysis to determine the effect of phytoestrogens on glucose homeostasis and the risk of type 2 diabetes (T2D) among women. Randomized controlled trials (RCTs) and prospective observational studies that assessed associations of phytoestrogens (supplementation, dietary intake, or biomarkers) with fasting glucose or insulin, homeostatic model assessment of insulin resistance (HOMA-IR), or with the risk of T2D were included. We identified 18 RCTs (n = 1687 individuals) investigating the effect of phytoestrogen supplementation on glucose homeostasis and 9 prospective population-based studies (n = 212,796 individuals) examining the association between phytoestrogen intake and the risk of T2D. Compared with placebo, phytoestrogen supplementation resulted in improvements in fasting glucose and HOMA-IR: the pooled mean differences of changes were -0.12 mmol/L (95% CI: -0.20, -0.03 mmol/L) and -0.24 mmol/L (95% CI: -0.45, -0.03 mmol/L), respectively. Although there was no significant decrease in insulin concentrations with overall phytoestrogen supplementation, the pooled mean difference in changes was -0.99 pmol/L (95% CI: -4.65, 2.68 pmol/L). However, the results of RCTs varied by type of phytoestrogens: soy-derived isoflavones and genistein improved glucose homeostasis, whereas isoflavone mix and daidzein had no effect or were associated with an adverse glycemic profile. Higher dietary phytoestrogen intake was associated with a 10% lower risk of developing T2D in observational studies (pooled RR: 0.90; 95% CI: 0.85, 0.96; for the highest compared with the lowest quantiles). Results were similar when the analyses were restricted to only medium- and high-quality studies. Overall, phytoestrogens may have a positive influence on glycemia and could be used for diabetes prevention in women. However, for some individual types of phytoestrogens, such as mixed isoflavones, caution is needed in recommending their use in women, because their use could lead to an adverse glycemic profile in women.
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Affiliation(s)
| | | | | | | | | | | | - A H Jan Danser
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | - Anton J M Roks
- Division of Vascular Medicine and Pharmacology, Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, Netherlands
| | | | | | - Taulant Muka
- Department of Epidemiology
- Almedicus, Tirana, Albania
- Deputy Minister of Education, Sports and Youth, Ministry of Education, Sports and Youth, Tirana, Albania
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Hüser S, Guth S, Joost HG, Soukup ST, Köhrle J, Kreienbrock L, Diel P, Lachenmeier DW, Eisenbrand G, Vollmer G, Nöthlings U, Marko D, Mally A, Grune T, Lehmann L, Steinberg P, Kulling SE. Effects of isoflavones on breast tissue and the thyroid hormone system in humans: a comprehensive safety evaluation. Arch Toxicol 2018; 92:2703-2748. [PMID: 30132047 PMCID: PMC6132702 DOI: 10.1007/s00204-018-2279-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Accepted: 07/31/2018] [Indexed: 02/06/2023]
Abstract
Isoflavones are secondary plant constituents of certain foods and feeds such as soy, linseeds, and red clover. Furthermore, isoflavone-containing preparations are marketed as food supplements and so-called dietary food for special medical purposes to alleviate health complaints of peri- and postmenopausal women. Based on the bioactivity of isoflavones, especially their hormonal properties, there is an ongoing discussion regarding their potential adverse effects on human health. This review evaluates and summarises the evidence from interventional and observational studies addressing potential unintended effects of isoflavones on the female breast in healthy women as well as in breast cancer patients and on the thyroid hormone system. In addition, evidence from animal and in vitro studies considered relevant in this context was taken into account along with their strengths and limitations. Key factors influencing the biological effects of isoflavones, e.g., bioavailability, plasma and tissue concentrations, metabolism, temporality (pre- vs. postmenopausal women), and duration of isoflavone exposure, were also addressed. Final conclusions on the safety of isoflavones are guided by the aim of precautionary consumer protection.
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Affiliation(s)
- S Hüser
- Institute for Food Toxicology, Senate Commission on Food Safety, University of Veterinary Medicine Hannover, Hannover, Germany
| | - S Guth
- Institute for Food Toxicology, Senate Commission on Food Safety, University of Veterinary Medicine Hannover, Hannover, Germany
| | - H G Joost
- Department of Experimental Diabetology, German Institute of Human Nutrition (DIfE), Nuthetal, Germany
| | - S T Soukup
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany
| | - J Köhrle
- Institut für Experimentelle Endokrinologie, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, CVK, Berlin, Germany
| | - L Kreienbrock
- Department of Biometry, Epidemiology and Information Processing, University of Veterinary Medicine Hannover, Hannover, Germany
| | - P Diel
- Department of Molecular and Cellular Sports Medicine, Institute of Cardiovascular Research and Sports Medicine, German Sport University Cologne, Cologne, Germany
| | - D W Lachenmeier
- Chemisches und Veterinäruntersuchungsamt Karlsruhe, Karlsruhe, Germany
| | - G Eisenbrand
- Division of Food Chemistry and Toxicology, Molecular Nutrition, Department of Chemistry, Technische Universität Kaiserslautern, Kaiserslautern, Germany
| | - G Vollmer
- Department of Biology, Molecular Cell Physiology and Endocrinology, Technische Universität Dresden, Dresden, Germany
| | - U Nöthlings
- Department of Nutrition and Food Sciences, Nutritional Epidemiology, Rheinische Friedrich-Wilhelms University Bonn, Bonn, Germany
| | - D Marko
- Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, Vienna, Austria
| | - A Mally
- Department of Toxicology, University of Würzburg, Würzburg, Germany
| | - T Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition (DIfE), Nuthetal, Germany
| | - L Lehmann
- Department of Food Chemistry, Institute for Pharmacy and Food Chemistry, University of Würzburg, Würzburg, Germany
| | - P Steinberg
- Institute for Food Toxicology, University of Veterinary Medicine Hannover, Hannover, Germany
- Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany
| | - S E Kulling
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Haid-und-Neu-Str. 9, 76131, Karlsruhe, Germany.
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Zhou Y, Wang T, Song D, Wang A. Dietary intake of flavonoid subclasses and risk of type 2 diabetes in prospective cohort studies: A dose-response meta-analysis. Clin Nutr 2018; 37:2294-2298. [PMID: 30195577 DOI: 10.1016/j.clnu.2018.08.024] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 08/17/2018] [Indexed: 11/30/2022]
Abstract
Flavonoids intake has been linked to risk of type 2 diabetes theoretically, but the findings were conflicting from observational studies. Results from the recent meta-analysis suggested a moderate favorable effect of total dietary flavonoids consumption on type 2 diabetes risk. However, the relationship, if exists, between total dietary flavonoids consumption and type 2 diabetes risk is unclear, especially further in the association between flavonoid subclasses and risk of type 2 diabetes. Thus, the dose-response relationship was assessed by restricted cubic spline model and multivariate random-effect meta-regression. Among flavonoid subclasses, protective effects were obtained for intakes of flavonols, flavan-3-ols, isoflavones and anthocyanidins in high vs. low analysis and dose-response analysis.
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Affiliation(s)
- Yunping Zhou
- School of Nursing, Qingdao University, Qingdao, Shandong, China
| | - Tao Wang
- School of Public Health, Qingdao University, Qingdao, Shandong, China
| | - Daiqin Song
- Zibo Center for Disease Control and Prevention, Zibo, Shandong Province, PR China
| | - Aimin Wang
- School of Nursing, Qingdao University, Qingdao, Shandong, China.
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Sohrab G, Ebrahimof S, Hosseinpour-Niazi S, Yuzbashian E, Mirmiran P, Azizi F. Association of Dietary Intakes of Total Polyphenol and Its Subclasses with the Risk of Metabolic Syndrome: Tehran Lipid and Glucose Study. Metab Syndr Relat Disord 2018; 16:274-281. [DOI: 10.1089/met.2017.0140] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Gobon Sohrab
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samira Ebrahimof
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Somayeh Hosseinpour-Niazi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Emad Yuzbashian
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Zamora-Ros R, Biessy C, Rothwell JA, Monge A, Lajous M, Scalbert A, López-Ridaura R, Romieu I. Dietary polyphenol intake and their major food sources in the Mexican Teachers' Cohort. Br J Nutr 2018; 120:353-360. [PMID: 29860950 DOI: 10.1017/s0007114518001381] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Several descriptive studies on the intake of polyphenols, mostly flavonoids, have been published, especially in Europe and the USA, but insufficient data are still available in Latin-American countries, where different types of foods are consumed and different dietary habits are observed. The goal of this cross-sectional study was to estimate dietary intakes of polyphenols, including grand total, total per classes and subclasses and individual compounds, and to identify their main food sources in Mexican women. The Mexican Teachers' Cohort includes 115 315 female teachers, 25 years and older, from twelve states of Mexico, including urban and rural areas. Dietary data were collected in the period 2008-2011 using a validated FFQ, and individual polyphenol intake was estimated using food composition data from the Phenol-Explorer database. Median total polyphenol intake was the highest in Baja California (750 mg/d) and the lowest in Yucatan (536 mg/d). The main polyphenols consumed were phenolic acids (56·3-68·5 % total polyphenols), followed by flavonoids (28·8-40·9 %). Intake of other polyphenol subclasses (stilbenes, lignans and others) was insignificant. Coffee and fruits were the most important food sources of phenolic acids and flavonoids, respectively. Intake of a total of 287 different individual polyphenols could be estimated, of which forty-two were consumed in an amount ≥1 mg/d. The most largely consumed polyphenols were several caffeoylquinic acids (ranging from 20 and 460 mg/d), ferulic acid, hesperidin and proanthocyanidins. This study shows a large heterogeneity in intakes of individual polyphenols among Mexican women, but a moderate heterogeneity across Mexican states. Main food sources were also similar in the different states.
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Affiliation(s)
- Raul Zamora-Ros
- 1Unit of Nutrition and Cancer,Cancer Epidemiology Research Program,Catalan Institute of Oncology,Bellvitge Biomedical Research Institute (IDIBELL),08908 Barcelona,Spain
| | - Carine Biessy
- 2Nutrition and Metabolism Unit, International Agency for Research on Cancer (IARC),69372 Lyon,France
| | - Joseph A Rothwell
- 2Nutrition and Metabolism Unit, International Agency for Research on Cancer (IARC),69372 Lyon,France
| | - Adriana Monge
- 3Center for Population Health Research,National Institute of Public Health,62100 Cuernavaca,Mexico
| | - Martin Lajous
- 3Center for Population Health Research,National Institute of Public Health,62100 Cuernavaca,Mexico
| | - Augustin Scalbert
- 2Nutrition and Metabolism Unit, International Agency for Research on Cancer (IARC),69372 Lyon,France
| | - Ruy López-Ridaura
- 3Center for Population Health Research,National Institute of Public Health,62100 Cuernavaca,Mexico
| | - Isabelle Romieu
- 2Nutrition and Metabolism Unit, International Agency for Research on Cancer (IARC),69372 Lyon,France
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