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Peerapen P, Putpeerawit P, Boonmark W, Thongboonkerd V. Resveratrol inhibits calcium oxalate crystal growth, reduces adhesion to renal cells and induces crystal internalization into the cells, but promotes crystal aggregation. Curr Res Food Sci 2024; 8:100740. [PMID: 38694557 PMCID: PMC11061250 DOI: 10.1016/j.crfs.2024.100740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/22/2024] [Accepted: 04/16/2024] [Indexed: 05/04/2024] Open
Abstract
Resveratrol is a natural phenolic compound that belongs to stilbenoid group found in diverse plants. Health benefits and therapeutic potentials of resveratrol have been widely recognized in various diseases. In kidney stone disease, it can alleviate oxalate-induced hyperproduction of free radicals in renal epithelial cells. Nevertheless, its direct effects on calcium oxalate (CaOx) crystal, which is the major stone component, remained unclear. This study therefore addressed the direct effects of resveratrol (at 1, 10 or 100 μM) on each step of CaOx kidney stone formation. The results revealed that resveratrol had no significant effects on CaOx crystallization. However, resveratrol significantly decreased CaOx crystal growth and adhesion to renal epithelial cells at all concentrations, and induced crystal internalization into the cells (a process related to crystal degradation by endolysosomes) in a concentration-dependent manner. On the other hand, resveratrol promoted crystal aggregation. These data indicate that resveratrol serves as a dual modulator on CaOx stone formation. While it inhibits CaOx stone development by reducing crystal growth and adhesion to renal cells and by inducing crystal internalization into the cells, resveratrol promotes crystal aggregation, which is one of the mechanisms leading to kidney stone formation.
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Affiliation(s)
- Paleerath Peerapen
- Medical Proteomics Unit, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Pattaranit Putpeerawit
- Medical Proteomics Unit, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Wanida Boonmark
- Medical Proteomics Unit, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
| | - Visith Thongboonkerd
- Medical Proteomics Unit, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand
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Lekka P, Fragopoulou E, Terpou A, Dasenaki M. Exploring Human Metabolome after Wine Intake-A Review. Molecules 2023; 28:7616. [PMID: 38005338 PMCID: PMC10673339 DOI: 10.3390/molecules28227616] [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: 10/02/2023] [Revised: 10/21/2023] [Accepted: 10/24/2023] [Indexed: 11/26/2023] Open
Abstract
Wine has a rich history dating back to 2200 BC, originally recognized for its medicinal properties. Today, with the aid of advanced technologies like metabolomics and sophisticated analytical techniques, we have gained remarkable insights into the molecular-level changes induced by wine consumption in the human organism. This review embarks on a comprehensive exploration of the alterations in human metabolome associated with wine consumption. A great number of 51 studies from the last 25 years were reviewed; these studies systematically investigated shifts in metabolic profiles within blood, urine, and feces samples, encompassing both short-term and long-term studies of the consumption of wine and wine derivatives. Significant metabolic alterations were observed in a wide variety of metabolites belonging to different compound classes, such as phenolic compounds, lipids, organic acids, and amino acids, among others. Within these classes, both endogenous metabolites as well as diet-related metabolites that exhibited up-regulation or down-regulation following wine consumption were included. The up-regulation of short-chain fatty acids and the down-regulation of sphingomyelins after wine intake, as well as the up-regulation of gut microbial fermentation metabolites like vanillic and syringic acid are some of the most important findings reported in the reviewed literature. Our results confirm the intact passage of certain wine compounds, such as tartaric acid and other wine acids, to the human organism. In an era where the health effects of wine consumption are of growing interest, this review offers a holistic perspective on the metabolic underpinnings of this centuries-old tradition.
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Affiliation(s)
- Pelagia Lekka
- Food Chemistry Laboratory, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zographou, 15771 Athens, Greece;
| | - Elizabeth Fragopoulou
- School of Health Science and Education, Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece;
| | - Antonia Terpou
- Department of Agricultural Development, Agrofood and Management of Natural Resources, School of Agricultural Development, Nutrition & Sustainability, National and Kapodistrian University of Athens, 34400 Psachna, Greece;
| | - Marilena Dasenaki
- Food Chemistry Laboratory, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zographou, 15771 Athens, Greece;
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Trius-Soler M, Praticò G, Gürdeniz G, Garcia-Aloy M, Canali R, Fausta N, Brouwer-Brolsma EM, Andrés-Lacueva C, Dragsted LO. Biomarkers of moderate alcohol intake and alcoholic beverages: a systematic literature review. GENES & NUTRITION 2023; 18:7. [PMID: 37076809 PMCID: PMC10114415 DOI: 10.1186/s12263-023-00726-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 04/04/2023] [Indexed: 04/21/2023]
Abstract
The predominant source of alcohol in the diet is alcoholic beverages, including beer, wine, spirits and liquors, sweet wine, and ciders. Self-reported alcohol intakes are likely to be influenced by measurement error, thus affecting the accuracy and precision of currently established epidemiological associations between alcohol itself, alcoholic beverage consumption, and health or disease. Therefore, a more objective assessment of alcohol intake would be very valuable, which may be established through biomarkers of food intake (BFIs). Several direct and indirect alcohol intake biomarkers have been proposed in forensic and clinical contexts to assess recent or longer-term intakes. Protocols for performing systematic reviews in this field, as well as for assessing the validity of candidate BFIs, have been developed within the Food Biomarker Alliance (FoodBAll) project. The aim of this systematic review is to list and validate biomarkers of ethanol intake per se excluding markers of abuse, but including biomarkers related to common categories of alcoholic beverages. Validation of the proposed candidate biomarker(s) for alcohol itself and for each alcoholic beverage was done according to the published guideline for biomarker reviews. In conclusion, common biomarkers of alcohol intake, e.g., as ethyl glucuronide, ethyl sulfate, fatty acid ethyl esters, and phosphatidyl ethanol, show considerable inter-individual response, especially at low to moderate intakes, and need further development and improved validation, while BFIs for beer and wine are highly promising and may help in more accurate intake assessments for these specific beverages.
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Affiliation(s)
- Marta Trius-Soler
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark
- Polyphenol Research Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA School of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921, Santa Coloma de Gramanet, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Giulia Praticò
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark
| | - Gözde Gürdeniz
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark
| | - Mar Garcia-Aloy
- Biomarker & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain
- Metabolomics Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele All'Adige, Italy
| | - Raffaella Canali
- Consiglio Per La Ricerca in Agricoltura E L'analisi Dell'economia Agraria (CREA) Research Centre for Food and Nutrition, Rome, Italy
| | - Natella Fausta
- Consiglio Per La Ricerca in Agricoltura E L'analisi Dell'economia Agraria (CREA) Research Centre for Food and Nutrition, Rome, Italy
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Department Agrotechnology and Food Sciences, Wageningen University and Research, P.O. Box 17, 6700 AA, Wageningen, The Netherlands
| | - Cristina Andrés-Lacueva
- INSA-UB, Nutrition and Food Safety Research Institute, University of Barcelona, 08921, Santa Coloma de Gramanet, Spain
- Biomarker & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Lars Ove Dragsted
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, 1958, Frederiksberg C, Denmark.
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Zyba SJ, Weinborn V, Arnold CD, Lehmkuhler AL, Morel FB, Zeilani M, Mitchell AE, Haskell MJ. Evaluation of Saccharin and Resveratrol as Extrinsic Markers of Small-Quantity Lipid-Based Nutrient Supplement Consumption in Healthy Women. Curr Dev Nutr 2021; 5:nzab089. [PMID: 34316533 PMCID: PMC8302444 DOI: 10.1093/cdn/nzab089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 06/22/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Dietary supplements, like small-quantity lipid-based nutrient supplements (SQ-LNS), are used in intervention programs to prevent undernutrition among women and young children in low-income countries. An objective marker is needed to track consumption of supplements to evaluate the effectiveness of these programs. OBJECTIVE The aim of this study was to evaluate saccharin and resveratrol as potential adherence markers for tracking recent consumption of a single serving of SQ-LNS in women. METHODS Forty-seven healthy nonpregnant women 18-45 y of age were assigned to consume a single dose of SQ-LNS (20 g) containing either 10 mg sodium saccharin or 5 mg trans-resveratrol, under supervision. On the day before and for 2 d following SQ-LNS consumption, urine samples were collected each day for 24 h as 3 consecutive 4-h collections and one 12-h overnight collection. Urinary concentrations of saccharin and trans-resveratrol-3-O-sulfate, a resveratrol metabolite, were measured by ultra-high-performance liquid chromatography interfaced to a mass spectrometer with electrospray ionization [UHPLC-(ESI-)MS/MS]. Urinary concentrations (μmol/L urine) of saccharin and trans-resveratrol-3-O-sulfate were plotted against time, and receiver operating characteristic (ROC) curves were used to determine the discriminative capacity of each compound, at each post-consumption time point compared with baseline, to detect recent consumption of SQ-LNS. Cutoff values to differentiate supplement consumption from nonconsumption of each marker were developed using the closest-to-(0,1)-corner cut-point approach. RESULTS Forty-five participants were included in the analysis. Urinary concentrations of saccharin and trans-resveratrol-3-O-sulfate increased within 4 h of SQ-LNS consumption. Urinary concentration cutoff values for saccharin (13.4 µmol/L) and trans-resveratrol-3-O-sulfate (0.7 µmol/L) allowed for 78% and 89% sensitivity, respectively, and 100% specificity in detecting consumption of SQ-LNS within the first 12 h after consumption. CONCLUSIONS Urinary concentrations of saccharin and trans-resveratrol-3-O-sulfate reflect consumption of SQ-LNS containing those compounds during the first 12 h post-consumption with high sensitivity and specificity in healthy women and may be useful objective adherence markers for tracking consumption of SQ-LNS.
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Affiliation(s)
- Sarah J Zyba
- Institute for Global Nutrition, Department of Nutrition, University of California, Davis, Davis, CA, USA
| | - Valerie Weinborn
- Department of Food Science and Technology, University of California, Davis, Davis, CA, USA
| | - Charles D Arnold
- Institute for Global Nutrition, Department of Nutrition, University of California, Davis, Davis, CA, USA
| | - Arlie L Lehmkuhler
- Department of Food Science and Technology, University of California, Davis, Davis, CA, USA
| | | | | | - Alyson E Mitchell
- Department of Food Science and Technology, University of California, Davis, Davis, CA, USA
| | - Marjorie J Haskell
- Institute for Global Nutrition, Department of Nutrition, University of California, Davis, Davis, CA, USA
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5
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The Role of Resveratrol in Human Male Fertility. Molecules 2021; 26:molecules26092495. [PMID: 33923359 PMCID: PMC8123193 DOI: 10.3390/molecules26092495] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/22/2021] [Accepted: 04/23/2021] [Indexed: 12/31/2022] Open
Abstract
Resveratrol (RSV) (3,4′,5 trihydroxystilbene) is a natural non-flavonoid polyphenol widely present in the Mediterranean diet. In particular, RSV is found in grapes, peanuts, berries, and red wine. Many beneficial effects of this molecule on human health have been reported. In fact, it improves some clinical aspects of various diseases, such as obesity, tumors, hypertension, Alzheimer’s disease, stroke, cardiovascular diseases, and diabetes mellitus. However, little is known about the relationship between this compound and male fertility and the few available results are often controversial. Therefore, this review evaluated the effects of RSV on human male fertility and the mechanisms through which this polyphenol could act on human spermatozoa.
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Li KJ, Brouwer-Brolsma EM, Burton-Pimentel KJ, Vergères G, Feskens EJM. A systematic review to identify biomarkers of intake for fermented food products. GENES AND NUTRITION 2021; 16:5. [PMID: 33882831 PMCID: PMC8058972 DOI: 10.1186/s12263-021-00686-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 03/30/2021] [Indexed: 12/22/2022]
Abstract
Background Fermented foods are ubiquitous in human diets and often lauded for their sensory, nutritious, and health-promoting qualities. However, precise associations between the intake of fermented foods and health have not been well-established. This is in part due to the limitations of current dietary assessment tools that rely on subjective reporting, making them prone to memory-related errors and reporting bias. The identification of food intake biomarkers (FIBs) bypasses this challenge by providing an objective measure of intake. Despite numerous studies reporting on FIBs for various types of fermented foods and drinks, unique biomarkers associated with the fermentation process (“fermentation-dependent” biomarkers) have not been well documented. We therefore conducted a comprehensive, systematic review of the literature to identify biomarkers of fermented foods commonly consumed in diets across the world. Results After title, abstract, and full-text screening, extraction of data from 301 articles resulted in an extensive list of compounds that were detected in human biofluids following the consumption of various fermented foods, with the majority of articles focusing on coffee (69), wine (69 articles), cocoa (62), beer (34), and bread (29). The identified compounds from all included papers were consolidated and sorted into FIBs proposed for a specific food, for a food group, or for the fermentation process. Alongside food-specific markers (e.g., trigonelline for coffee), and food-group markers (e.g., pentadecanoic acid for dairy intake), several fermentation-dependent markers were revealed. These comprised compounds related to the fermentation process of a particular food, such as mannitol (wine), 2-ethylmalate (beer), methionine (sourdough bread, cheese), theabrownins (tea), and gallic acid (tea, wine), while others were indicative of more general fermentation processes (e.g., ethanol from alcoholic fermentation, 3-phenyllactic acid from lactic fermentation). Conclusions Fermented foods comprise a heterogeneous group of foods. While many of the candidate FIBs identified were found to be non-specific, greater specificity may be observed when considering a combination of compounds identified for individual fermented foods, food groups, and from fermentation processes. Future studies that focus on how fermentation impacts the composition and nutritional quality of food substrates could help to identify novel biomarkers of fermented food intake. Supplementary Information The online version contains supplementary material available at 10.1186/s12263-021-00686-4.
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Affiliation(s)
- Katherine J Li
- Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, Netherlands. .,Food Microbial Systems Research Division, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Agroscope, Bern, Switzerland.
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, Netherlands
| | - Kathryn J Burton-Pimentel
- Food Microbial Systems Research Division, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Agroscope, Bern, Switzerland
| | - Guy Vergères
- Food Microbial Systems Research Division, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Agroscope, Bern, Switzerland
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, Netherlands
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7
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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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Beckmann M, Wilson T, Lloyd AJ, Torres D, Goios A, Willis ND, Lyons L, Phillips H, Mathers JC, Draper J. Challenges Associated With the Design and Deployment of Food Intake Urine Biomarker Technology for Assessment of Habitual Diet in Free-Living Individuals and Populations-A Perspective. Front Nutr 2020; 7:602515. [PMID: 33344495 PMCID: PMC7745244 DOI: 10.3389/fnut.2020.602515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 10/29/2020] [Indexed: 12/27/2022] Open
Abstract
Improvement of diet at the population level is a cornerstone of national and international strategies for reducing chronic disease burden. A critical challenge in generating robust data on habitual dietary intake is accurate exposure assessment. Self-reporting instruments (e.g., food frequency questionnaires, dietary recall) are subject to reporting bias and serving size perceptions, while weighed dietary assessments are unfeasible in large-scale studies. However, secondary metabolites derived from individual foods/food groups and present in urine provide an opportunity to develop potential biomarkers of food intake (BFIs). Habitual dietary intake assessment in population surveys using biomarkers presents several challenges, including the need to develop affordable biofluid collection methods, acceptable to participants that allow collection of informative samples. Monitoring diet comprehensively using biomarkers requires analytical methods to quantify the structurally diverse mixture of target biomarkers, at a range of concentrations within urine. The present article provides a perspective on the challenges associated with the development of urine biomarker technology for monitoring diet exposure in free-living individuals with a view to its future deployment in "real world" situations. An observational study (n = 95), as part of a national survey on eating habits, provided an opportunity to explore biomarker measurement in a free-living population. In a second food intervention study (n = 15), individuals consumed a wide range of foods as a series of menus designed specifically to achieve exposure reflecting a diversity of foods commonly consumed in the UK, emulating normal eating patterns. First Morning Void urines were shown to be suitable samples for biomarker measurement. Triple quadrupole mass spectrometry, coupled with liquid chromatography, was used to assess simultaneously the behavior of a panel of 54 potential BFIs. This panel of chemically diverse biomarkers, reporting intake of a wide range of commonly-consumed foods, can be extended successfully as new biomarker leads are discovered. Towards validation, we demonstrate excellent discrimination of eating patterns and quantitative relationships between biomarker concentrations in urine and the intake of several foods. In conclusion, we believe that the integration of information from BFI technology and dietary self-reporting tools will expedite research on the complex interactions between dietary choices and health.
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Affiliation(s)
- Manfred Beckmann
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Thomas Wilson
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Amanda J. Lloyd
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Duarte Torres
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
- Epidemiology Research Unit (EPIUnit), Institute of Public Health, University of Porto, Porto, Portugal
| | - Ana Goios
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal
- Epidemiology Research Unit (EPIUnit), Institute of Public Health, University of Porto, Porto, Portugal
| | - Naomi D. Willis
- Human Nutrition Research Centre, Population Health Sciences Institute, William Leech Building, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - Laura Lyons
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Helen Phillips
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - John C. Mathers
- Human Nutrition Research Centre, Population Health Sciences Institute, William Leech Building, Newcastle University, Newcastle-upon-Tyne, United Kingdom
| | - John Draper
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
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Bullón-Vela V, Abete I, Zulet MA, Xu Y, Martínez-González MA, Sayón-Orea C, Ruiz-Canela M, Toledo E, Sánchez VM, Estruch R, Lamuela-Raventós RM, Almanza-Aguilera E, Fitó M, Salas-Salvadó J, Díaz-López A, Tinahones FJ, Tur JA, Romaguera D, Konieczna J, Pintó X, Daimiel L, Rodriguez-Mateos A, Alfredo Martínez J. Urinary Resveratrol Metabolites Output: Differential Associations with Cardiometabolic Markers and Liver Enzymes in House-Dwelling Subjects Featuring Metabolic Syndrome. Molecules 2020; 25:molecules25184340. [PMID: 32971870 PMCID: PMC7570830 DOI: 10.3390/molecules25184340] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/16/2020] [Accepted: 09/18/2020] [Indexed: 02/06/2023] Open
Abstract
Metabolic syndrome (MetS) components are strongly associated with increased risk of non-alcoholic fatty liver disease (NAFLD) development. Several studies have supported that resveratrol is associated with anti-inflammatory and antioxidant effects on health status. The main objective of this study was to assess the putative associations between some urinary resveratrol phase II metabolites, cardiometabolic, and liver markers in individuals diagnosed with MetS. In this cross-sectional study, 266 participants from PREDIMED Plus study (PREvención con DIeta MEDiterránea) were divided into tertiles of total urinary resveratrol phase II metabolites (sum of five resveratrol conjugation metabolites). Urinary resveratrol metabolites were analyzed by ultra- performance liquid chromatography coupled to triple quadrupole mass spectrometry (UPLC-Q-q-Q MS), followed by micro-solid phase extraction (µ-SPE) method. Liver function markers were assessed using serum levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gamma-glutamyl transferase (GGT). Moreover, lipid profile was measured by triglycerides, very-low-density lipoprotein cholesterol (VLDL-c), and total cholesterol/high-density lipoprotein ratio (total cholesterol/HDL). Linear regression adjusted models showed that participants with higher total urine resveratrol concentrations exhibited improved lipid and liver markers compared to the lowest tertile. For lipid determinations: log triglycerides (βT3= −0.15, 95% CI; −0.28, −0.02, p-trend = 0.030), VLDL-c, (βT3= −4.21, 95% CI; −7.97, −0.46, p-trend = 0.039), total cholesterol/HDL ratio Moreover, (βT3= −0.35, 95% CI; −0.66, −0.03, p-trend = 0.241). For liver enzymes: log AST (βT3= −0.12, 95% CI; −0.22, −0.02, p-trend = 0.011, and log GGT (βT3= −0.24, 95% CI; −0.42, −0.06, p-trend = 0.002). However, there is no difference found on glucose variables between groups. To investigate the risk of elevated serum liver markers, flexible regression models indicated that total urine resveratrol metabolites were associated with a lower risk of higher ALT (169.2 to 1314.3 nmol/g creatinine), AST (599.9 to 893.8 nmol/g creatinine), and GGT levels (169.2 to 893.8 nmol/g creatinine). These results suggested that higher urinary concentrations of some resveratrol metabolites might be associated with better lipid profile and hepatic serum enzymes. Moreover, urinary resveratrol excreted showed a reduced odds ratio for higher liver enzymes, which are linked to NAFLD.
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Affiliation(s)
- Vanessa Bullón-Vela
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (M.A.Z.); (J.A.M.)
| | - Itziar Abete
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (M.A.Z.); (J.A.M.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Correspondence: ; Tel.: +34-94-842-5600 (ext. 806357)
| | - Maria Angeles Zulet
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (M.A.Z.); (J.A.M.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
| | - Yifan Xu
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London SE1 9NH, UK; (Y.X.); (A.R.-M.)
| | - Miguel A. Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Carmen Sayón-Orea
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Estefanía Toledo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Vicente Martín Sánchez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Department of Internal Medicine, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Rosa María Lamuela-Raventós
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA-UB, School of Pharmacy and Food Sciences, Nutrition and Food Safety Research Institute, University of Barcelona, 08028 Barcelona, Spain
| | - Enrique Almanza-Aguilera
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), 08007 Barcelona, Spain;
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Institute of Health Carlos III, 28029 Madrid, Spain
- Institute of Nutrition and Food Safety (INSA-UB), University of Barcelona, Santa Coloma de Gramenet, 08921 Barcelona, Spain
| | - Montserrat Fitó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), 08007 Barcelona, Spain;
| | - Jordi Salas-Salvadó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, 43201 Reus, Spain
- Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| | - Andrés Díaz-López
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, Unitat de Nutrició Humana, 43201 Reus, Spain
- Institut d’Investigació Pere Virgili (IISPV), Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga-IBIMA, University of Málaga, Virgen de la Victoria Hospital, 29010 Málaga, Spain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
| | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), 07120 Palma de Mallorca, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Lidia Daimiel
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Ana Rodriguez-Mateos
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London SE1 9NH, UK; (Y.X.); (A.R.-M.)
| | - José Alfredo Martínez
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain; (V.B.-V.); (M.A.Z.); (J.A.M.)
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.A.M.-G.); (C.S.-O.); (M.R.-C.); (E.T.); (R.E.); (R.M.L.-R.); (M.F.); (J.S.-S.); (A.D.-L.); (F.J.T.); (J.A.T.); (D.R.); (J.K.); (X.P.)
- Precision Nutrition Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
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10
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Garro-Aguilar Y, Cayssials V, Achaintre D, Boeing H, Mancini FR, Mahamat-Saleh Y, Boutron-Ruault MC, Kühn T, Katzke V, Trichopoulou A, Karakatsani A, Thriskos P, Masala G, Grioni S, Santucci de Magistris M, Tumino R, Ricceri F, Huybrechts I, Agudo A, Scalbert A, Zamora-Ros R. Correlations between urinary concentrations and dietary intakes of flavonols in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Eur J Nutr 2020; 59:1481-1492. [PMID: 31119398 DOI: 10.1007/s00394-019-02005-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/16/2019] [Indexed: 01/29/2023]
Abstract
PURPOSE In this study, we aimed to study the correlation between acute and habitual intakes of flavonols, their main food sources and their 24-h urinary concentrations in an European population. METHODS A 24-h dietary recall (24-HDR) and 24-h urine samples were collected on the same day from a convenience subsample of 475 men and women from four countries (France, Italy, Greece and Germany) of the European Prospective Investigation into Cancer and Nutrition (EPIC) study. A standardized 24-HDR software and a country/centre-specific validated dietary questionnaire (DQ) were used to collect acute and habitual dietary data, respectively. The intake of dietary flavonols was estimated using the Phenol-Explorer database. Urinary flavonols (quercetin, isorhamnetin, and kaempferol) were analysed using tandem mass spectrometry with a previous enzymatic hydrolysis. RESULTS Weak partial Spearman correlations between both dietary acute and habitual intake and urinary concentrations of quercetin (both Rpartial ~ 0.3) and total flavonols (both Rpartial ~ 0.2) were observed. No significant correlations were found for kaempferol and isorhamentin. Regarding flavonol-rich foods, weak correlations were found between urinary concentrations of quercetin and total flavonols and the acute intake of onions and garlics, fruits, tea, and herbal tea (all Rpartial ~ 0.2). For habitual intake, statistically significant correlations were only found between urinary quercetin concentration and herbal tea (Rpartial = 0.345) and between urinary total flavonol concentration and tea, and herbal tea consumption (Rpartial ~ 0.2). CONCLUSIONS Our results suggest that urinary quercetin level can be used as potential concentration biomarkers of both acute and habitual quercetin intake, while urinary concentrations of flavonols are unlikely to be useful biomarkers of individual flavonol-rich foods.
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Affiliation(s)
- Yaiza Garro-Aguilar
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Av Gran Via 199-203, L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Valerie Cayssials
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Av Gran Via 199-203, L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - David Achaintre
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Francesca Romana Mancini
- CESP, Fac. de médecine-Univ. Paris-Sud, Fac. de médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Yahya Mahamat-Saleh
- CESP, Fac. de médecine-Univ. Paris-Sud, Fac. de médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Marie-Christine Boutron-Ruault
- CESP, Fac. de médecine-Univ. Paris-Sud, Fac. de médecine-UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Villejuif, France
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | | | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-ISPRO, Florence, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Rosario Tumino
- Cancer Regsitry and Histopathology Department, "M.P Arezzzo" Hospital, ASP Ragusa, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, TO, Italy
| | - Inge Huybrechts
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Av Gran Via 199-203, L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Augustin Scalbert
- International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Raul Zamora-Ros
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Av Gran Via 199-203, L'Hospitalet de Llobregat, 08908, Barcelona, Spain.
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11
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Nagano A, Matsumoto S, Kawai A, Okuma T, Hiraga H, Matsumoto Y, Nishida Y, Yonemoto T, Hosaka M, Takahashi M, Yoshikawa H, Kunisada T, Asanuma K, Naka N, Emori M, Kubo T, Kawashima H, Kawamoto T, Yokoyama R, Tsukushi S, Sato K, Okamoto T, Hiraoka K, Morioka H, Tanaka K, Takagi T, Iwamoto Y, Ozaki T. Osteosarcoma in patients over 50 years of age: Multi-institutional retrospective analysis of 104 patients. J Orthop Sci 2020; 25:319-323. [PMID: 31155441 DOI: 10.1016/j.jos.2019.04.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 03/02/2019] [Accepted: 04/10/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Primary osteosarcoma in elderly patients are rare malignant tumors. Its optimal treatment has not yet been determined. METHODS This retrospective study included 104 patients aged >50 years with resectable, non-metastatic osteosarcoma treated by the members of the Bone and Soft Tissue Tumor Study Group of the Japan Clinical Oncology Group. The effects of adjuvant chemotherapy were estimated by comparing outcomes in patients who received surgery plus chemotherapy with those who underwent surgery alone. RESULTS Median age at presentation was 59 years. Neoadjuvant and adjuvant chemotherapy was administered to 83 (79.8%) patients. Patients who underwent surgery plus chemotherapy and those who underwent surgery alone had 5-year overall survival (OS) rates of 68.6% and 71.7%, respectively (p = 0.780), and 5-year relapse free survival (RFS) rates of 48.2% and 43.6%, respectively (p = 0.64). Univariate analysis showed that resection with wide margins was significantly correlated with better prognosis. CONCLUSIONS The addition of chemotherapy to surgery did not improve OS or RFS in patients aged >50 years with resectable, non-metastatic osteosarcoma. Surgery with wide margins was only significantly prognostic of improved survival. The effect of chemotherapy in elderly osteosarcoma patients was unclear.
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Affiliation(s)
- Akihito Nagano
- The Department of Orthopaedic Surgery, Gifu University School of Medicine, 1-1 Yanagido, Gifu, 501-1193, Japan.
| | - Seiichi Matsumoto
- The Department of Orthopaedic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan
| | - Akira Kawai
- The Department of Musculoskeletal Oncology and Rehabilitation, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Tomotake Okuma
- The Department of Musculoskeletal Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-ku, Tokyo 113-8677, Japan
| | - Hiroaki Hiraga
- The Department of Orthopaedic Surgery, Hokkaido Cancer Center, 4-2-3-54 Kikusui 4-2, 3-54, Shiroishiku, Sapporo, 003-0804, Japan
| | - Yoshihiro Matsumoto
- The Department of Orthopaedic Surgery, Kyushu University, 744 Motooka Nishi-ku, Fukuoka, 819-0395, Japan
| | - Yoshihiro Nishida
- The Department of Orthopedic Surgery, Nagoya University Graduate School and School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan
| | - Tsukasa Yonemoto
- The Department of Orthopaedic Surgery, Chiba Cancer Center Hospital, 666-2 Nitona-cho Chuo-ku Chiba, 260-8717, Japan
| | - Masami Hosaka
- The Department of Orthopaedic Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
| | - Mitsuru Takahashi
- The Department of Orthopaedic Surgery, Shizuoka Cancer Center, 1007 Shimo-Nagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka Pref. 411-8777, Japan
| | - Hideki Yoshikawa
- The Department of Orthopaedic Surgery, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan
| | - Toshiyuki Kunisada
- The Department of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan
| | - Kunihiro Asanuma
- The Department of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi Tsu, Mie, 5148507, Japan
| | - Norifumi Naka
- The Department of Orthopaedic Surgery, Osaka International Cancer Center, 3-1-69, Otemae, Chuo-ku, Osaka-shi, Osaka 541-8567, Japan
| | - Makoto Emori
- The Department of Orthopaedic Surgery, Sapporo Medical University School of Medicine, S1 W17, Chuo-ku, Sapporo, 060-8556, Japan
| | - Tadahiko Kubo
- The Department of Orthopaedic Surgery, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima City, Hiroshima 734-8553, Japan
| | - Hiroyuki Kawashima
- The Department of Orthopedic Surgery, Graduate School of Medical and Dental Sciences, Niigata University, 757 Ichibancho, Asahimachi-dori, Chuo Ward, Niigata City, 951-8510, Japan
| | - Teruya Kawamoto
- The Department of Orthopaedic Surgery, Kobe University, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe City, Hyogo Prefecture, 650-0017, Japan
| | - Ryohei Yokoyama
- The Department of Orthopedic Surgery, National Hospital Organization Kyushu Cancer Center, 3-1-1 Notame, Minami-ku, Fukuoka, 811-1395, Japan
| | - Satoshi Tsukushi
- The Department of Orthopaedic Surgery, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku Nagoya, 464-8681, Japan
| | - Kenji Sato
- The Department of Orthopaedic Surgery, Teikyo University, 2-11-1 Kaga Itabashi-ku, Tokyo, 173-8605, Japan
| | - Takeshi Okamoto
- The Department of Orthopaedic Surgery, Graduate School of Medicine, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Koji Hiraoka
- The Department of Orthopaedic Surgery, Kurume University, 67 Asahimachi, Kurume, Fukuoka, 830-0011, Japan
| | - Hideo Morioka
- The Department of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Kazuhiro Tanaka
- The Department of Endoprosthetic Surgery, Oita University, 1-1 Idaigaoka, Hazama-cho, Yufu, Oita 879-5593, Japan
| | - Tatsuya Takagi
- The Department of Orthopaedic Surgery, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo 113-8421, Japan
| | - Yukihide Iwamoto
- Kyushu Rosai Hospital, 1-1 Sonekitamachi, Kokuraminami-ku, Kitakyusyu, 800-0296, Japan
| | - Toshifumi Ozaki
- The Department of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan
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12
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Ashrafizadeh M, Ahmadi Z, Farkhondeh T, Samarghandian S. Resveratrol targeting the Wnt signaling pathway: A focus on therapeutic activities. J Cell Physiol 2019; 235:4135-4145. [PMID: 31637721 DOI: 10.1002/jcp.29327] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 09/27/2019] [Indexed: 12/16/2022]
Abstract
Wingless-type MMTV integration site (Wnt) signaling pathway is considered as an important pathway regulating a variety of biological processes such as tissue formation and homeostasis, cell proliferation, cell migration, cell differentiation, and embryogenesis. Impairment in the Wnt signaling pathway is associated with pathological conditions, particularly cancer. So, modulation of this pathway can be considered as a promising strategy and several drugs have been developed in line with this strategy. Resveratrol (Res) is a naturally occurring nutraceutical compound exclusively found in different fruits and nuts such as grape, peanut, and pistachio. This compound has favorable biological and therapeutic activities such as antioxidant, anti-inflammatory, antitumor, hepatoprotective, cardioprotective, and antidiabetic. At the present review, we demonstrate how Res modulates Wnt signaling pathway to exert its pharmacological effects.
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Affiliation(s)
| | - Zahra Ahmadi
- Department of Basic Science, Islamic Azad University, Shoushtar, Iran
| | - Tahereh Farkhondeh
- Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Saeed Samarghandian
- Department of Basic Medical Sciences, Neyshabur University of Medical Sciences, Neyshabur, Iran
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13
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Hernández-Alonso P, Papandreou C, Bulló M, Ruiz-Canela M, Dennis C, Deik A, Wang DD, Guasch-Ferré M, Yu E, Toledo E, Razquin C, Corella D, Estruch R, Ros E, Fitó M, Arós F, Fiol M, Serra-Majem L, Liang L, Clish CB, Martínez-González MA, Hu FB, Salas-Salvadó J. Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study. Mol Nutr Food Res 2019; 63:e1900140. [PMID: 31291050 PMCID: PMC6771435 DOI: 10.1002/mnfr.201900140] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 05/14/2019] [Indexed: 01/25/2023]
Abstract
SCOPE The relationship between red wine (RW) consumption and metabolism is poorly understood. It is aimed to assess the systemic metabolomic profiles in relation to frequent RW consumption as well as the ability of a set of metabolites to discriminate RW consumers. METHODS AND RESULTS A cross-sectional analysis of 1157 participants is carried out. Subjects are divided as non-RW consumers versus RW consumers (>1 glass per day RW [100 mL per day]). Plasma metabolomics analysis is performed using LC-MS. Associations between 386 identified metabolites and RW consumption are assessed using elastic net regression analysis taking into consideration baseline significant covariates. Ten-cross-validation (CV) is performed and receiver operating characteristic curves are constructed in each of the validation datasets based on weighted models. A subset of 13 metabolites is consistently selected and RW consumers versus nonconsumers are discriminated. Based on the multi-metabolite model weighted with the regression coefficients of metabolites, the area under the curve is 0.83 (95% CI: 0.80-0.86). These metabolites mainly consisted of lipid species, some organic acids, and alkaloids. CONCLUSIONS A multi-metabolite model identified in a Mediterranean population appears useful to discriminate between frequent RW consumers and nonconsumers. Further studies are needed to assess the contribution of these metabolites in health and disease.
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Affiliation(s)
- Pablo Hernández-Alonso
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Sant Joan Hospital, Institut d’Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Christopher Papandreou
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Sant Joan Hospital, Institut d’Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Mònica Bulló
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Sant Joan Hospital, Institut d’Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Miguel Ruiz-Canela
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
- Navarra Institute for Health Research (IdisNA), Pamplona, Navarra, Spain
| | - Courtney Dennis
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Amy Deik
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Dong D. Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marta Guasch-Ferré
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Sant Joan Hospital, Institut d’Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edward Yu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Estefanía Toledo
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
- Navarra Institute for Health Research (IdisNA), Pamplona, Navarra, Spain
| | - Cristina Razquin
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
- Navarra Institute for Health Research (IdisNA), Pamplona, Navarra, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Internal Medicine, Department of Endocrinology and Nutrition Institut d’Investigacions Biomèdiques August Pi Sunyer (IDI-BAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition Institut d’Investigacions Biomèdiques August Pi Sunyer (IDI-BAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain
| | - Fernando Arós
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Cardiology, University Hospital of Alava, Vitoria, Spain
| | - Miquel Fiol
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Health Sciences IUNICS, University of Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain
| | - Lluís Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences IUIBS, University of Las Palmas de Gran Canaria, Las Palmas, Spain
| | - Liming Liang
- Departments of Epidemiology and Statistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Clary B. Clish
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
| | - Miguel A Martínez-González
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain
- Navarra Institute for Health Research (IdisNA), Pamplona, Navarra, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Broad Institute of MIT and Harvard University, Cambridge, MA, USA
- Departments of Epidemiology and Statistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, MA, USA
| | - Jordi Salas-Salvadó
- Human Nutrition Unit, Faculty of Medicine and Health Sciences, Sant Joan Hospital, Institut d’Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
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14
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Adebooye OC, Alashi AM, Aluko RE. A brief review on emerging trends in global polyphenol research. J Food Biochem 2018. [DOI: 10.1111/jfbc.12519] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Odunayo C. Adebooye
- Department of Food and Human Nutritional Sciences; University of Manitoba; Winnipeg Manitoba R3T 2N2 Canada
- Department of Agronomy; Osun State University; Osogbo Osun State Nigeria
| | - Adeola M. Alashi
- Department of Food and Human Nutritional Sciences; University of Manitoba; Winnipeg Manitoba R3T 2N2 Canada
| | - Rotimi E. Aluko
- Department of Food and Human Nutritional Sciences; University of Manitoba; Winnipeg Manitoba R3T 2N2 Canada
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15
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Bird JK, Raederstorff D, Weber P, Steinert RE. Cardiovascular and Antiobesity Effects of Resveratrol Mediated through the Gut Microbiota. Adv Nutr 2017; 8:839-849. [PMID: 29141969 PMCID: PMC5682996 DOI: 10.3945/an.117.016568] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Encouraging scientific research into the health effects of dietary bioactive resveratrol has been confounded by its rapid first-pass metabolism, which leads to low in vivo bioavailability. Preliminary studies have shown that resveratrol can modulate gut microbiota composition, undergo biotransformation to active metabolites via the intestinal microbiota, or affect gut barrier function. In rodents, resveratrol can modify the relative Bacteroidetes:Firmicutes ratio and reverse the gut microbial dysbiosis caused by a high-fat diet. By upregulating the expression of genes involved in maintaining tight junctions between intestinal cells, resveratrol contributes to gut barrier integrity. The composition of the gut microbiome and rapid metabolism of resveratrol determines the production of resveratrol metabolites, which are found at greater concentrations in humans after ingestion than their parent molecule and can have similar biological effects. Resveratrol may affect cardiovascular risk factors such as elevated blood cholesterol or trimethylamine N-oxide concentrations. Modulating the composition of the gut microbiota by resveratrol may affect central energy metabolism and modify concentrations of satiety hormones to produce antiobesity effects. Encouraging research from animal models could be tested in humans.
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Affiliation(s)
- Julia K Bird
- Human Nutrition and Health, DSM Nutritional Products, Basel, Switzerland, and
| | - Daniel Raederstorff
- Human Nutrition and Health, DSM Nutritional Products, Basel, Switzerland, and
| | - Peter Weber
- Human Nutrition and Health, DSM Nutritional Products, Basel, Switzerland, and
| | - Robert E Steinert
- Human Nutrition and Health, DSM Nutritional Products, Basel, Switzerland, and,Department of Surgery, Division of Visceral and Transplantation Surgery, University Hospital Zürich, Zürich, Switzerland
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