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Nwaefuna AE, Garcia-Aloy M, Loeto D, Ncube T, Gombert AK, Boekhout T, Alwasel S, Zhou N. Dung beetle-associated yeasts display multiple stress tolerance: a desirable trait of potential industrial strains. BMC Microbiol 2023; 23:309. [PMID: 37884896 PMCID: PMC10601127 DOI: 10.1186/s12866-023-03044-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 10/05/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Stress-tolerant yeasts are highly desirable for cost-effective bioprocessing. Several strategies have been documented to develop robust yeasts, such as genetic and metabolic engineering, artificial selection, and natural selection strategies, among others. However, the significant drawbacks of such techniques have motivated the exploration of naturally occurring stress-tolerant yeasts. We previously explored the biodiversity of non-conventional dung beetle-associated yeasts from extremophilic and pristine environments in Botswana (Nwaefuna AE et.al., Yeast, 2023). Here, we assessed their tolerance to industrially relevant stressors individually, such as elevated concentrations of osmolytes, organic acids, ethanol, and oxidizing agents, as well as elevated temperatures. RESULTS Our findings suggest that these dung beetle-associated yeasts tolerate various stresses comparable to those of the robust bioethanol yeast strain, Saccharomyces cerevisiae (Ethanol Red™). Fifty-six percent of the yeast isolates were tolerant of temperatures up to 42 °C, 12.4% of them could tolerate ethanol concentrations up to 9% (v/v), 43.2% of them were tolerant to formic acid concentrations up to 20 mM, 22.7% were tolerant to acetic acid concentrations up to 45 mM, 34.0% of them could tolerate hydrogen peroxide up to 7 mM, and 44.3% of the yeasts could tolerate osmotic stress up to 1.5 M. CONCLUSION The ability to tolerate multiple stresses is a desirable trait in the selection of novel production strains for diverse biotechnological applications, such as bioethanol production. Our study shows that the exploration of natural diversity in the search for stress-tolerant yeasts is an appealing approach for the development of robust yeasts.
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Affiliation(s)
- Anita Ejiro Nwaefuna
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Palapye, Botswana.
| | - Mar Garcia-Aloy
- Metabolomics Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, 38098, San Michele All'Adige, Italy
| | - Daniel Loeto
- Department of Biological Sciences, University of Botswana, Private Bag, 0022, Gaborone, Botswana
| | - Thembekile Ncube
- Department of Applied Biology and Biochemistry, National University of Science and Technology, P.O. Box AC 939, Ascot, Bulawayo, Zimbabwe
| | - Andreas K Gombert
- School of Food Engineering, University of Campinas, Rua Monteiro Lobato 80, Campinas, SP, 13083-862, Brazil
| | - Teun Boekhout
- Department of Zoology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Saleh Alwasel
- Department of Zoology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Nerve Zhou
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Palapye, Botswana.
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Liessi N, Tomati V, Capurro V, Loberto N, Garcia-Aloy M, Franceschi P, Aureli M, Pedemonte N, Armirotti A. The combination elexacaftor/tezacaftor/ivacaftor (ETI) modulates the de novo synthethic pathway of ceramides in a genotype-independent manner. J Cyst Fibros 2023; 22:680-682. [PMID: 37088636 DOI: 10.1016/j.jcf.2023.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 04/25/2023]
Abstract
We report here how the triple combination of drugs elexacaftor/tezacaftor/ivacaftor (ETI) alters the balance of the de-novo synthethic pathway of sphingolipids in primary cells of human bronchial epithelium. The treatment with ETI roughly doubles the levels of dihydrosphingolipids, possibly by modulating the delta(4)-desaturase enzymes that convert dihydroceramides into ceramides. This appears to be an off-target effect of ETI, since it occurs in a genotype-independent manner, for both cystic fibrosis (CF) and non-CF subjects.
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Affiliation(s)
- Nara Liessi
- Analytical Chemistry Facility, Istituto Italiano di Tecnologia, Via Morego 30, 16163, Genova, Italy
| | - Valeria Tomati
- UOC Genetica Medica, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genova, Italy
| | - Valeria Capurro
- UOC Genetica Medica, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genova, Italy
| | - Nicoletta Loberto
- Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Via F.lli Cervi 93, 20054 Segrate (MI)
| | - Mar Garcia-Aloy
- Centro di Ricerca e Innovazione, Fondazione Edmund Mach, Via Edmund Mach, 1, 38098 San Michele all'Adige, Trento, Italy
| | - Pietro Franceschi
- Centro di Ricerca e Innovazione, Fondazione Edmund Mach, Via Edmund Mach, 1, 38098 San Michele all'Adige, Trento, Italy
| | - Massimo Aureli
- Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Via F.lli Cervi 93, 20054 Segrate (MI)
| | - Nicoletta Pedemonte
- UOC Genetica Medica, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genova, Italy
| | - Andrea Armirotti
- Analytical Chemistry Facility, Istituto Italiano di Tecnologia, Via Morego 30, 16163, Genova, Italy
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3
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Ghiglieno I, Carlin S, Cola G, Vrhovsek U, Valenti L, Garcia-Aloy M, Mattivi F. Impact of meteorological conditions, canopy shading and leaf removal on yield, must quality, and norisoprenoid compounds content in Franciacorta sparkling wine. Front Plant Sci 2023; 14:1125560. [PMID: 37265632 PMCID: PMC10229778 DOI: 10.3389/fpls.2023.1125560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 04/17/2023] [Indexed: 06/03/2023]
Abstract
Climate change is a major concern in agriculture; in grapevine production, climate change can affect yield and wine quality as they depend on the complex interactions between weather, plant material, and viticultural techniques. Wine characteristics are strongly influenced by microclimate of the canopy affecting primary and secondary metabolites of the grapevine. Air temperature and water availability can influence sugar and acid concentration in grapes and relative wines, and their content of volatile compounds such as norisoprenoids. This becomes relevant in sparkling wine production where grapes are generally harvested at a relatively low pH, high acidity, and low sugar content and where the norisoprenoids significantly contributes to the final aroma of the wine. The effect of climate change on grapevine and wine, therefore, calls for the implementation of on-field adaptation strategies. Among them canopy management through leaf removal and shading have been largely investigated in the wine growing sector. The present study, conducted over 4 years (2010-2013) aims at investigating how leaf removal and artificial shading strategies affect grape maturation, must quality and the production of norisoprenoids, analyzed using an untargeted approach, in sparkling wine. Specifically, this paper investigates the effect of meteorological conditions (i.e., water availability and temperatures) and the effect of leaf removal and shading on Vitis vinifera L. cv. Chardonnay and Pinot noir, which are suitable to produce sparkling wine in the DOCG Franciacorta wine growing area (Lombardy, Italy). The effect of leaf removal and shading practices on norisoprenoids has been the focus of the study. No defoliation and artificial shading treatments play an important role in the preservation of the acidity in warm seasons and this suggests calibrating defoliation activities in relation to the meteorological trend without standardized procedures. This is particularly relevant in the case of sparkling wine, where the acidity is essential to determine wine quality. The enhanced norisoprenoid aromas obtained with a total defoliation represent a further element to direct defoliation and shading strategies. The obtained results increase knowledge about the effect of different defoliation and artificial shading applications in relation to meteorological condition supporting the management decision-making in the Franciacorta wine growing area.
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Affiliation(s)
- Isabella Ghiglieno
- Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy, University of Milan, Milan, Italy
| | - Silvia Carlin
- Metabolomic Unit, Food Quality and Nutrition Department, Research and Innovation Center, Edmund Mach Foundation, S. Michele all’Adige, Italy
| | - Gabriele Cola
- Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy, University of Milan, Milan, Italy
| | - Urska Vrhovsek
- Metabolomic Unit, Food Quality and Nutrition Department, Research and Innovation Center, Edmund Mach Foundation, S. Michele all’Adige, Italy
| | - Leonardo Valenti
- Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy, University of Milan, Milan, Italy
| | - Mar Garcia-Aloy
- Metabolomic Unit, Food Quality and Nutrition Department, Research and Innovation Center, Edmund Mach Foundation, S. Michele all’Adige, Italy
| | - Fulvio Mattivi
- Metabolomic Unit, Food Quality and Nutrition Department, Research and Innovation Center, Edmund Mach Foundation, S. Michele all’Adige, Italy
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Trius-Soler M, Praticò G, Gürdeniz G, Garcia-Aloy M, Canali R, Natella F, Brouwer-Brolsma EM, Andrés-Lacueva C, Dragsted LO. Correction: Biomarkers of moderate alcohol intake and alcoholic beverages: a systematic literature review. Genes Nutr 2023; 18:9. [PMID: 37189028 PMCID: PMC10184393 DOI: 10.1186/s12263-023-00728-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
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
| | - Fausta Natella
- 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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Nwaefuna AE, Boekhout T, Garcia-Aloy M, Vrhovsek U, Zhou N. Diversity of dung beetle-associated yeasts from pristine environments of Botswana. Yeast 2023. [PMID: 37096317 DOI: 10.1002/yea.3852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 04/06/2023] [Accepted: 04/08/2023] [Indexed: 04/26/2023] Open
Abstract
Yeast-insect interactions are increasingly becoming an attractive source of discovery for previously unknown, unique, diverse, and industrially relevant yeast species. Despite a wealth of studies that have recently focused on yeasts in symbiotic association with Hymenopteran insects, yeasts associated with Coleopteran insects, such as lignocellulosic-rich dung-dependent beetles, remain poorly studied. Trends in yeast discovery suggest that species richness and diversity can be attributed to the ecological niche of the insect. Here, we considered the potential of dung beetles inhabiting the extreme environments of Botswana, characterized by desert-like conditions (semi-arid to arid and hot) as well as protected pristine environments, as possible attribute niches that can shape the extremophilic and diverse life history strategies of yeasts. We obtained a total of 97 phylogenetically diverse yeast isolates from six species of dung beetles from Botswana's unexplored environments, representing 19 species belonging to 11 genera. The findings suggest that the guts of dung beetles are a rich niche for non-Saccharomyces yeast species. Meyerozyma and Pichia were the most dominant genera associated with dung beetles, representing 55% (53 out of 97) of the yeast isolates in our study. Trichosporon and Cutaneotrichosporon genera represented 32% (31 out of 97) of the isolates. The remaining isolates belonged to Apiotrichum, Candida, Diutina, Naganishia, Rhodotorula, and Wickerhamiella genera (12 out of 97). We found out that about 62% (60 out of 97) of the isolates were potentially new species because of their low internal transcribed spacer (ITS) sequence similarity when compared to the most recent optimal species delineation threshold. A single isolate was unidentifiable using the ITS sequences. Using an in silico polymerase chain reaction-restriction fragment length polymorphism approach, we revealed that there was genetic diversity within isolates of the same species. Our results contribute to the knowledge and understanding of the diversity of dung beetle-associated yeasts.
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Affiliation(s)
- Anita E Nwaefuna
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Palapye, Botswana
| | - Teun Boekhout
- Westerdijk Institute of Fungal Biodiversity, Utrecht, The Netherlands
- Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Mar Garcia-Aloy
- Metabolomics Unit, Food Quality and Nutrition Department, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Urska Vrhovsek
- Metabolomics Unit, Food Quality and Nutrition Department, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - Nerve Zhou
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Palapye, Botswana
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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 Nutr 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] [What about the content of this article? (0)] [Affiliation(s)] [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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7
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Motlhanka K, Lebani K, Garcia-Aloy M, Zhou N. Functional Characterization of khadi Yeasts Isolates for Selection of Starter Cultures. J Microbiol Biotechnol 2022; 32:307-316. [PMID: 34866127 PMCID: PMC9628858 DOI: 10.4014/jmb.2109.09003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/11/2021] [Accepted: 11/29/2021] [Indexed: 12/15/2022]
Abstract
Yeasts play an important role in spontaneous fermentation of traditional alcoholic beverages. Our previous study revealed that a mixed-consortia of both Saccharomyces and non-Saccharomyces yeasts were responsible for fermentation of khadi, a popular, non-standardized traditional beverage with an immense potential for commercialization in Botswana. Functional characterization of isolated fermenting yeasts from mixed consortia is an indispensable step towards the selection of potential starter cultures for commercialization of khadi. In this study, we report the characterization of 13 khadi isolates for the presence of brewing-relevant phenotypes such as their fermentative capacity, ability to utilize a range of carbon sources and their ability to withstand brewing-associated stresses, as a principal step towards selection of starter cultures. Khadi isolates such as Saccharomyces cerevisiae, Saccharomycodes ludwigii and Candida ethanolica showed good brewing credentials but Lachancea fermentati emerged as the isolate with the best brewing attributes with a potential as a starter culture. However, we were then prompted to investigate the potential of L. fermentati to influence the fruity aromatic flavor, characteristic of khadi. The aroma components of 18 khadi samples were extracted using headspace solid phase micro-extraction (HSSPME) and identified using a GC-MS. We detected esters as the majority of volatile compounds in khadi, typical of the aromatic signature of both khadi and L. fermentati associated fermentations. This work shows that L. fermentati has potential for commercial production of khadi.
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Affiliation(s)
- Koketso Motlhanka
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Central District, Palapye, Botswana
| | - Kebaneilwe Lebani
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Central District, Palapye, Botswana
| | - Mar Garcia-Aloy
- Metabolomics Unit, Food Quality and Nutrition Department, Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all’Adige, Italy
| | - Nerve Zhou
- Department of Biological Sciences and Biotechnology, Botswana International University of Science and Technology, Private Bag 16, Central District, Palapye, Botswana
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Schmid R, Petras D, Nothias LF, Wang M, Aron AT, Jagels A, Tsugawa H, Rainer J, Garcia-Aloy M, Dührkop K, Korf A, Pluskal T, Kameník Z, Jarmusch AK, Caraballo-Rodríguez AM, Weldon KC, Nothias-Esposito M, Aksenov AA, Bauermeister A, Albarracin Orio A, Grundmann CO, Vargas F, Koester I, Gauglitz JM, Gentry EC, Hövelmann Y, Kalinina SA, Pendergraft MA, Panitchpakdi M, Tehan R, Le Gouellec A, Aleti G, Mannochio Russo H, Arndt B, Hübner F, Hayen H, Zhi H, Raffatellu M, Prather KA, Aluwihare LI, Böcker S, McPhail KL, Humpf HU, Karst U, Dorrestein PC. Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment. Nat Commun 2021; 12:3832. [PMID: 34158495 PMCID: PMC8219731 DOI: 10.1038/s41467-021-23953-9] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 04/26/2021] [Indexed: 12/21/2022] Open
Abstract
Molecular networking connects mass spectra of molecules based on the similarity of their fragmentation patterns. However, during ionization, molecules commonly form multiple ion species with different fragmentation behavior. As a result, the fragmentation spectra of these ion species often remain unconnected in tandem mass spectrometry-based molecular networks, leading to redundant and disconnected sub-networks of the same compound classes. To overcome this bottleneck, we develop Ion Identity Molecular Networking (IIMN) that integrates chromatographic peak shape correlation analysis into molecular networks to connect and collapse different ion species of the same molecule. The new feature relationships improve network connectivity for structurally related molecules, can be used to reveal unknown ion-ligand complexes, enhance annotation within molecular networks, and facilitate the expansion of spectral reference libraries. IIMN is integrated into various open source feature finding tools and the GNPS environment. Moreover, IIMN-based spectral libraries with a broad coverage of ion species are publicly available.
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Affiliation(s)
- Robin Schmid
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Daniel Petras
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
- CMFI Cluster of Excellence, Interfaculty Institute of Microbiology and Medicine, University of Tübingen, Tübingen, Germany
| | - Louis-Félix Nothias
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Mingxun Wang
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Allegra T Aron
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Annika Jagels
- Institute of Food Chemistry, University of Münster, Münster, Germany
| | - Hiroshi Tsugawa
- RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan
- Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo, Japan
| | - Johannes Rainer
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Mar Garcia-Aloy
- Institute for Biomedicine, Eurac Research, Affiliated Institute of the University of Lübeck, Bolzano, Italy
| | - Kai Dührkop
- Chair for Bioinformatics, Friedrich-Schiller-University, Jena, Germany
| | - Ansgar Korf
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | - Tomáš Pluskal
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic
| | - Zdeněk Kameník
- Institute of Microbiology, Czech Academy of Sciences, Prague, Czech Republic
| | - Alan K Jarmusch
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | | | - Kelly C Weldon
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Melissa Nothias-Esposito
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Alexander A Aksenov
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Anelize Bauermeister
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
- Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Andrea Albarracin Orio
- IRNASUS, Universidad Católica de Córdoba, CONICET, Facultad de Ciencias Agropecuarias, Córdoba, Argentina
| | - Carlismari O Grundmann
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
- School of Pharmaceutical Sciences of Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Fernando Vargas
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Irina Koester
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Julia M Gauglitz
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Emily C Gentry
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Yannick Hövelmann
- Institute of Food Chemistry, University of Münster, Münster, Germany
| | | | - Matthew A Pendergraft
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Morgan Panitchpakdi
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
| | - Richard Tehan
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, USA
| | - Audrey Le Gouellec
- Univ. Grenoble Alpes, CNRS, Grenoble INP, CHU Grenoble Alpes, TIMC-IMAG, Grenoble, France
| | - Gajender Aleti
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Helena Mannochio Russo
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA
- NuBBE, Institute of Chemistry, , São Paulo State University (UNESP), Araraquara, SP, Brazil
| | - Birgit Arndt
- Institute of Food Chemistry, University of Münster, Münster, Germany
| | - Florian Hübner
- Institute of Food Chemistry, University of Münster, Münster, Germany
| | - Heiko Hayen
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | - Hui Zhi
- Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | - Manuela Raffatellu
- Division of Host-Microbe Systems & Therapeutics, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
- Chiba University-UC San Diego Center for Mucosal Immunology, Allergy and Vaccines (CU-UCSD cMAV), La Jolla, CA, USA
| | - Kimberly A Prather
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Lihini I Aluwihare
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA
| | - Sebastian Böcker
- Chair for Bioinformatics, Friedrich-Schiller-University, Jena, Germany
| | - Kerry L McPhail
- Department of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, USA
| | - Hans-Ulrich Humpf
- Institute of Food Chemistry, University of Münster, Münster, Germany
| | - Uwe Karst
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, San Diego, CA, USA.
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, San Diego, CA, USA.
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9
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Tor-Roca A, Garcia-Aloy M, Mattivi F, Llorach R, Andres-Lacueva C, Urpi-Sarda M. Phytochemicals in Legumes: A Qualitative Reviewed Analysis. J Agric Food Chem 2020; 68:13486-13496. [PMID: 33169614 DOI: 10.1021/acs.jafc.0c04387] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Legumes are an excellent source of nutrients and phytochemicals. They have been recognized for their contributions to health, sustainability, and the economy. Although legumes comprise several species and varieties, little is known about the differences in their phytochemical composition and the magnitude of these. Therefore, the aim of this review is to describe and compare the qualitative profile of phytochemicals contained in legumes and identified through LC-MS and GC-MS methods. Among the 478 phytochemicals reported in 52 varieties of legumes, phenolic compounds were by far the most frequently described (n = 405, 85%). Metabolomics data analysis tools were used to visualize the qualitative differences, showing beans to be the most widely analyzed legumes and those with the highest number of discriminant phytochemicals (n = 180, 38%). A Venn diagram showed that lentils, beans, soybeans, and chickpeas shared only 7% of their compounds. This work highlighted the huge chemical diversity among legumes and identified the need for further research in this field and the use of metabolomics as a promising tool to achieve it.
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Affiliation(s)
- Alba Tor-Roca
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Institute for Research on Nutrition and Food Safety (INSA-UB), Food and Nutrition Torribera Campus, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Institute for Research on Nutrition and Food Safety (INSA-UB), Food and Nutrition Torribera Campus, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Centro de Investigacion Biomedica en Red (CIBER) on Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), 38010 San Michele all'Adige, Italy
| | - Fulvio Mattivi
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), 38010 San Michele all'Adige, Italy
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, 38123 Povo, Italy
| | - Rafael Llorach
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Institute for Research on Nutrition and Food Safety (INSA-UB), Food and Nutrition Torribera Campus, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Centro de Investigacion Biomedica en Red (CIBER) on Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Institute for Research on Nutrition and Food Safety (INSA-UB), Food and Nutrition Torribera Campus, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Centro de Investigacion Biomedica en Red (CIBER) on Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Mireia Urpi-Sarda
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Institute for Research on Nutrition and Food Safety (INSA-UB), Food and Nutrition Torribera Campus, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Centro de Investigacion Biomedica en Red (CIBER) on Frailty and Healthy Ageing (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
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10
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Ulaszewska M, Garcia-Aloy M, Vázquez-Manjarrez N, Soria-Florido MT, Llorach R, Mattivi F, Manach C. Food intake biomarkers for berries and grapes. Genes Nutr 2020; 15:17. [PMID: 32967625 PMCID: PMC7509942 DOI: 10.1186/s12263-020-00675-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 08/20/2020] [Indexed: 12/12/2022]
Abstract
Grapes and berries are two types of widely consumed fruits characterized by a high content in different phytochemicals. However, their accurate dietary assessment is particularly arduous, because of the already wide recognized bias associated with self-reporting methods, combined with the large range of species and cultivars and the fact that these fruits are popularly consumed not only in fresh and frozen forms but also as processed and derived products, including dried and canned fruits, beverages, jams, and jellies. Reporting precise type and/or quantity of grape and berries in FFQ or diaries can obviously be affected by errors. Recently, biomarkers of food intake (BFIs) rose as a promising tool to provide accurate information indicating consumption of certain food items. 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. This paper aims to evaluate the putative BIFs for blueberries, strawberries, raspberries, blackberries, cranberries, blackcurrant, and grapes. Candidate BFIs for grapes were resveratrol metabolites and tartaric acid. The metabolites considered as putative BFI for berries consumption were mostly anthocyanins derivatives together with several metabolites of ellagitannins and some aroma compounds. However, identification of BFIs for single berry types encountered more difficulties. In the absence of highly specific metabolites reported to date, we suggested some multi-metabolite panels that may be further investigated as putative biomarkers for some berry fruits.
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Affiliation(s)
- M Ulaszewska
- Fondazione Edmund Mach, Research and Innovation Centre Food Quality and Nutrition, Via Mach 1, 38010, San Michele all'Adige, Italy.,Center for Omics Sciences, Proteomics and Metabolomics Facility - ProMeFa, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - M Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain. .,CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain.
| | - N Vázquez-Manjarrez
- Université Clermont Auvergne, INRAE, UNH, F-63000, Clermont-Ferrand, France.,Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Dirección de Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Slavador Zubiran, Mexico City, Mexico
| | - M T Soria-Florido
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
| | - R Llorach
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - F Mattivi
- Fondazione Edmund Mach, Research and Innovation Centre Food Quality and Nutrition, Via Mach 1, 38010, San Michele all'Adige, Italy.,Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trent, Trento, Italy
| | - C Manach
- Université Clermont Auvergne, INRAE, UNH, F-63000, Clermont-Ferrand, France
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11
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Palau-Rodríguez M, Garcia-Aloy M, Bernal-Lopez MR, Gómez-Huelgas R, Tinahones FJ, Miñarro A, Andrés-Lacueva C. Reply to the letter to the editor: Lifestyle interventions on weight loss among metabolically healthy obese women. Clin Nutr 2020; 39:2933-2934. [PMID: 32800384 DOI: 10.1016/j.clnu.2020.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 07/13/2020] [Indexed: 10/23/2022]
Affiliation(s)
- M Palau-Rodríguez
- 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
| | - M Garcia-Aloy
- 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
| | - M Rosa Bernal-Lopez
- Internal Medicine Department, Biomedical Institute of Malaga (IBIMA), Regional University Hospital of Malaga (Carlos Haya Hospital), 29010, Malaga, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - R Gómez-Huelgas
- Internal Medicine Department, Biomedical Institute of Malaga (IBIMA), Regional University Hospital of Malaga (Carlos Haya Hospital), 29010, Malaga, Spain; Endocrinology and Nutrition Department, Biomedical Institute of Malaga (IBIMA), Regional University Hospital of Malaga (Virgen de la Victoria Hospital), 29010, Malaga, Spain
| | - F J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029, Madrid, Spain; Endocrinology and Nutrition Department, Biomedical Institute of Malaga (IBIMA), Regional University Hospital of Malaga (Virgen de la Victoria Hospital), 29010, Malaga, Spain
| | - A Miñarro
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029, Madrid, Spain; Genetics, Microbiology and Statistics Department, Biology Faculty, University of Barcelona, Barcelona, 08028, Spain
| | - C Andrés-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.
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12
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Garcia-Aloy M, Ulaszewska M, Franceschi P, Estruel-Amades S, Weinert CH, Tor-Roca A, Urpi-Sarda M, Mattivi F, Andres-Lacueva C. Discovery of Intake Biomarkers of Lentils, Chickpeas, and White Beans by Untargeted LC-MS Metabolomics in Serum and Urine. Mol Nutr Food Res 2020; 64:e1901137. [PMID: 32420683 DOI: 10.1002/mnfr.201901137] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 05/05/2020] [Indexed: 11/12/2022]
Abstract
SCOPE To identify reliable biomarkers of food intake (BFIs) of pulses. METHODS AND RESULTS A randomized crossover postprandial intervention study is conducted on 11 volunteers who consumed lentils, chickpeas, and white beans. Urine and serum samples are collected at distinct postprandial time points up to 48 h, and analyzed by LC-HR-MS untargeted metabolomics. Hypaphorine, trigonelline, several small peptides, and polyphenol-derived metabolites prove to be the most discriminating urinary metabolites. Two arginine-related compounds, dopamine sulfate and epicatechin metabolites, with their microbial derivatives, are identified only after intake of lentils, whereas protocatechuic acid is identified only after consumption of chickpeas. Urinary hydroxyjasmonic and hydroxydihydrojasmonic acids, as well as serum pipecolic acid and methylcysteine, are found after white bean consumption. Most of the metabolites identified in the postprandial study are replicated as discriminants in 24 h urine samples, demonstrating that in this case the use of a single, noninvasive sample is suitable for revealing the consumption of pulses. CONCLUSIONS The results of the present untargeted metabolomics work reveals a broad list of metabolites that are candidates for use as biomarkers of pulse intake. Further studies are needed to validate these BFIs and to find the best combinations of them to boost their specificity.
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Affiliation(s)
- Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, 08028, Spain.,Department of Food Quality and Nutrition, Research and Innovation Center, Fondazione Edmund Mach (FEM), San Michele all'Adige, 38010, Italy
| | - Marynka Ulaszewska
- IRCCS San Raffaele Scientific Institute, Center for Omics Sciences, Proteomics and Metabolomics Facility - ProMeFa, Milan, 20132, Italy.,Department of Food Quality and Nutrition, Research and Innovation Center, Fondazione Edmund Mach (FEM), San Michele all'Adige, 38010, Italy
| | - Pietro Franceschi
- Computational Biology Unit, Research and Innovation Center, Fondazione Edmund Mach, San Michele all'Adige, 38010, Italy
| | - Sheila Estruel-Amades
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain
| | - Christoph H Weinert
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, 76131, Germany
| | - Alba Tor-Roca
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, 08028, Spain
| | - Mireia Urpi-Sarda
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, 08028, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, 08028, Spain
| | - Fulvio Mattivi
- Department of Food Quality and Nutrition, Research and Innovation Center, Fondazione Edmund Mach (FEM), San Michele all'Adige, 38010, Italy.,Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Povo, 38123, Italy
| | - 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, Barcelona, 08028, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, 08028, Spain
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13
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Vázquez-Manjarrez N, Ulaszewska M, Garcia-Aloy M, Mattivi F, Praticò G, Dragsted LO, Manach C. Biomarkers of intake for tropical fruits. Genes Nutr 2020; 15:11. [PMID: 32560627 PMCID: PMC7304196 DOI: 10.1186/s12263-020-00670-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 06/02/2020] [Indexed: 12/11/2022]
Abstract
Consumption of fruit and vegetable is a key component of a healthy and sustainable diet. However, their accurate dietary assessment remains a challenge. Due to errors in self-reporting methods, the available dietary information is usually biased. Biomarkers of intake constitute objective tools to better reflect the usual or recent consumption of different foods, including fruits and vegetables. Partners of The Food Biomarker Alliance (FoodBall) Project have undertaken the task of reviewing the available literature on putative biomarkers of tropical fruit intake. The identified candidate biomarkers were subject to validation evaluation using eight biological and chemical criteria. This publication presents the current knowledge on intake biomarkers for 17 tropical fruits including banana, mango, and avocado as the most widely consumed ones. Candidate biomarkers were found only for banana, avocado, and watermelon. An array of banana-derived metabolites has been reported in human biofluids, among which 5-hydroxyindole-acetic acid, dopamine sulfate, methoxyeugenol glucuronide, salsolinol sulfate, 6-hydroxy-1-methyl-1,2,3,4-tetrahydro-β-carboline-sulfate, and other catecholamine metabolites. Their validation is still at an early stage, with insufficient data on dose-response relationship. Perseitol and mannoheptulose have recently been reported as candidate biomarkers for avocado intake, while the amino acid citrulline has been associated with watermelon intake. Additionally, the examination of food composition data revealed some highly specific phytochemicals, which metabolites after absorption may be further studied as putative BFI for one or several tropical fruits. To make the field move forward, untargeted metabolomics, as a data-driven explorative approach, will have to be applied in both intervention and observational studies to discover putative BFIs, while their full validation and the establishment of dose-response calibration curves will require quantification methods at a later stage.
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Affiliation(s)
- N Vázquez-Manjarrez
- Human Nutrition Unit, Université Clermont Auvergne, INRAE, F-63000, Clermont-Ferrand, France.,Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Dirección de Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - M Ulaszewska
- Research and Innovation Centre Food Quality and Nutrition, Fondazione Edmund Mach, Via Mach 1, 38010, San Michele all'Adige, Italy
| | - M Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain.,CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - F Mattivi
- Research and Innovation Centre Food Quality and Nutrition, Fondazione Edmund Mach, Via Mach 1, 38010, San Michele all'Adige, Italy.,Department of Cellular, Computational and Integrative Biology, CIBIO, University of Trento, San Michele all'Adige, Italy
| | - G Praticò
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - L O Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - C Manach
- Human Nutrition Unit, Université Clermont Auvergne, INRAE, F-63000, Clermont-Ferrand, France.
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14
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Peron G, Hidalgo-Liberona N, González-Domínguez R, Garcia-Aloy M, Guglielmetti S, Bernardi S, Kirkup B, Kroon PA, Cherubini A, Riso P, Andrés-Lacueva C. Exploring the Molecular Pathways Behind the Effects of Nutrients and Dietary Polyphenols on Gut Microbiota and Intestinal Permeability: A Perspective on the Potential of Metabolomics and Future Clinical Applications. J Agric Food Chem 2020; 68:1780-1789. [PMID: 31083905 DOI: 10.1021/acs.jafc.9b01687] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The gut microbiota is involved in the regulation of the intestinal permeability (IP), whose disruption is a frequent condition in older people and is associated with the development of several diseases. The diet can affect the gut microbiota and IP, although the molecular mechanisms involved are unclear. Metabolomics is one of the suitable approaches to study the effects of diet on gut microbiota and IP, although, up to now, the research has focused only on a few dietary components. The aim here was to review the most recent literature concerning the application of metabolomics to the study of the diet-induced alterations of gut microbiota and the effects on IP, with a particular focus on the molecular pathways involved. An additional aim was to give a perspective on the future research involving dietary polyphenols, because despite their potential use in the management of increased IP, few studies have been reported to date.
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Affiliation(s)
- Gregorio Peron
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , 08028 Barcelona , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes) , Instituto de Salud Carlos III , 08028 Barcelona , Spain
| | - Nicole Hidalgo-Liberona
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , 08028 Barcelona , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes) , Instituto de Salud Carlos III , 08028 Barcelona , Spain
| | - Raúl González-Domínguez
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , 08028 Barcelona , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes) , Instituto de Salud Carlos III , 08028 Barcelona , Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , 08028 Barcelona , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes) , Instituto de Salud Carlos III , 08028 Barcelona , Spain
| | - Simone Guglielmetti
- Department of Food, Environmental and Nutritional Sciences (DeFENS) , Università degli Studi di Milano , 20122 Milan , Italy
| | - Stefano Bernardi
- Department of Food, Environmental and Nutritional Sciences (DeFENS) , Università degli Studi di Milano , 20122 Milan , Italy
| | - Benjamin Kirkup
- Quadram Institute Bioscience , Norwich Research Park, Norwich NR4 7UQ , United Kingdom
| | - Paul Antony Kroon
- Quadram Institute Bioscience , Norwich Research Park, Norwich NR4 7UQ , United Kingdom
| | - Antonio Cherubini
- Geriatria, Accettazione Geriatrica e Centro di Ricerca per l'Invecchiamento , Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS)-l'Istituto Nazionale Ricovero e Cura Anziani (INRCA) , 60127 Ancona , Italy
| | - Patrizia Riso
- Department of Food, Environmental and Nutritional Sciences (DeFENS) , Università degli Studi di Milano , 20122 Milan , Italy
| | - Cristina Andrés-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , 08028 Barcelona , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes) , Instituto de Salud Carlos III , 08028 Barcelona , Spain
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15
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Nikolic M, Konic Ristic A, González-Sarrías A, Istas G, Urpi-Sarda M, Dall'Asta M, Monfoulet LE, Cloetens L, Bayram B, Tumolo MR, Chervenkov M, Scoditti E, Massaro M, Tejera N, Abadjieva D, Chambers K, Krga I, Tomás-Barberán FA, Morand C, Feliciano R, García-Villalba R, Garcia-Aloy M, Mena P. Improving the reporting quality of intervention trials addressing the inter-individual variability in response to the consumption of plant bioactives: quality index and recommendations. Eur J Nutr 2019; 58:49-64. [PMID: 31492976 PMCID: PMC6851030 DOI: 10.1007/s00394-019-02069-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/23/2019] [Indexed: 02/06/2023]
Abstract
PURPOSE The quality of the study design and data reporting in human trials dealing with the inter-individual variability in response to the consumption of plant bioactives is, in general, low. There is a lack of recommendations supporting the scientific community on this topic. This study aimed at developing a quality index to assist the assessment of the reporting quality of intervention trials addressing the inter-individual variability in response to plant bioactive consumption. Recommendations for better designing and reporting studies were discussed. METHODS The selection of the parameters used for the development of the quality index was carried out in agreement with the scientific community through a survey. Parameters were defined, grouped into categories, and scored for different quality levels. The applicability of the scoring system was tested in terms of consistency and effort, and its validity was assessed by comparison with a simultaneous evaluation by experts' criteria. RESULTS The "POSITIVe quality index" included 11 reporting criteria grouped into four categories (Statistics, Reporting, Data presentation, and Individual data availability). It was supported by detailed definitions and guidance for their scoring. The quality index score was tested, and the index demonstrated to be valid, reliable, and responsive. CONCLUSIONS The evaluation of the reporting quality of studies addressing inter-individual variability in response to plant bioactives highlighted the aspects requiring major improvements. Specific tools and recommendations favoring a complete and transparent reporting on inter-individual variability have been provided to support the scientific community on this field.
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Affiliation(s)
- Marina Nikolic
- Institute for Medical Research, University of Belgrade, Belgrade, Serbia
| | - Aleksandra Konic Ristic
- Institute for Medical Research, University of Belgrade, Belgrade, Serbia.
- UCD Institute of Food and Health, University College Dublin, Belfield, Dublin, Ireland.
| | - Antonio González-Sarrías
- Laboratory of Food and Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Murcia, Spain
| | - Geoffrey Istas
- Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, London, UK
| | - Mireia Urpi-Sarda
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Santa Coloma De Gramenet, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Margherita Dall'Asta
- Human Nutrition Unit, Department of Food and Drugs, University of Parma, Medical School Building C, Via Volturno, 39, 43125, Parma, Italy
| | - Laurent-Emmanuel Monfoulet
- Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne, CRNH Auvergne, Clermont-Ferrand, France
| | - Lieselotte Cloetens
- Biomedical Nutrition, Pure and Applied Biochemistry, Lund University, Lund, Sweden
| | - Banu Bayram
- Department of Nutrition and Dietetics, University of Health Sciences, Istanbul, Turkey
| | - Maria Rosaria Tumolo
- Research Unit of Brindisi, Institute for Research on Population and Social Policies, National Research Council, Brindisi, Italy
| | - Mihail Chervenkov
- Faculty of Veterinary Medicine, University of Forestry, Sofia, Bulgaria
- Institute of Neurobiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Egeria Scoditti
- Institute of Clinical Physiology (IFC), National Research Council (CNR), Lecce, Italy
| | - Marika Massaro
- Institute of Clinical Physiology (IFC), National Research Council (CNR), Lecce, Italy
| | - Noemi Tejera
- Department of Nutrition and Preventive Medicine, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Desislava Abadjieva
- Institute of Biology and Immunology of Reproduction, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Karen Chambers
- Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
| | - Irena Krga
- Institute for Medical Research, University of Belgrade, Belgrade, Serbia
| | - Francisco A Tomás-Barberán
- Laboratory of Food and Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Murcia, Spain
| | - Christine Morand
- Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne, CRNH Auvergne, Clermont-Ferrand, France
| | - Rodrigo Feliciano
- Division of Cardiology, Pulmonology, and Vascular Medicine, Medical Faculty, University of Duesseldorf, Dusseldorf, Germany
| | - Rocío García-Villalba
- Laboratory of Food and Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, Murcia, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Santa Coloma De Gramenet, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Pedro Mena
- Human Nutrition Unit, Department of Food and Drugs, University of Parma, Medical School Building C, Via Volturno, 39, 43125, Parma, Italy.
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Landberg R, Hanhineva K, Tuohy K, Garcia-Aloy M, Biskup I, Llorach R, Yin X, Brennan L, Kolehmainen M. Biomarkers of cereal food intake. Genes Nutr 2019; 14:28. [PMID: 31632507 PMCID: PMC6790055 DOI: 10.1186/s12263-019-0651-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 08/14/2019] [Indexed: 02/06/2023]
Abstract
Background/objectives Cereal foods are major contributors to the daily energy, protein, and dietary fiber intake all over the world. The role of cereals in human health is dependent on whether they are consumed as refined or whole grain and on cereal species. To unravel the underlying mechanisms of health effects attributed to specific cereal foods and to provide more precise dietary advice, there is a need for improved dietary assessment of whole-grain intake. Dietary biomarkers of specific cereals, different fractions or cereal-containing foods could offer such a possibility. The aim of this review was to summarize the current status on biomarkers of different cereals, fractions, and specific cereal foods. Subjects and methods A literature review was conducted and putative biomarkers of different cereals and pseudo-cereals (wheat, oats, rye, barley, rice, and quinoa) as well as for different grain fractions (whole grain, refined grain, bran) and foods were summarized and discussed. Results Several putative biomarkers have been suggested for different cereals, due to their unique presence in these grains. Among the biomarkers, odd-numbered alkylresorcinols are the most well-studied and -evaluated biomarkers and reflect whole-grain wheat and rye intake. Even-numbered alkylresorcinols have been suggested to reflect quinoa intake. Recent studies have also highlighted the potential of avenanthramides and avenacosides as specific biomarkers of oat intake, and a set of biomarkers have been suggested to reflect rice bran intake. However, there are yet no specific biomarkers of refined grains. Most biomarker candidates remain to be evaluated in controlled interventions and free-living populations before applied as biomarkers of intake in food and health studies. Conclusion Several putative biomarkers of different cereals have been suggested and should be validated in human studies using recently developed food intake biomarker validation criteria.
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Affiliation(s)
- Rikard Landberg
- 1Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Kati Hanhineva
- 2Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, FI-70211 Kuopio, Finland
| | - Kieran Tuohy
- 3Nutrition and Nutrigenomics Unit, Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, 38010 Trento, Italy
| | - Mar Garcia-Aloy
- 4Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain.,5CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Izabela Biskup
- 1Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden
| | - Rafael Llorach
- 4Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain.,5CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Xiaofei Yin
- UCD School of Agriculture and Food Science, Institute of Food and Health, Belfield, Dublin 4, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, Belfield, Dublin 4, Ireland
| | - Marjukka Kolehmainen
- 2Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, FI-70211 Kuopio, Finland
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Llorach R, Favari C, Alonso D, Garcia-Aloy M, Andres-Lacueva C, Urpi-Sarda M. Comparative metabolite fingerprinting of legumes using LC-MS-based untargeted metabolomics. Food Res Int 2019; 126:108666. [PMID: 31732019 DOI: 10.1016/j.foodres.2019.108666] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 04/14/2019] [Accepted: 09/09/2019] [Indexed: 01/08/2023]
Abstract
Legumes are a well-known source of phytochemicals and are commonly believed to have similar composition between different genera. To date, there are no studies evaluating changes in legumes to discover those compounds that help to discriminate for food quality and authenticity. The aim of this work was to characterize and make a comparative analysis of the composition of bioactive compounds between Cicer arietinum L. (chickpea), Lens culinaris L. (lentil) and Phaseolus vulgaris L. (white bean) through an LC-MS-Orbitrap metabolomic approach to establish which compounds discriminate between the three studied legumes. Untargeted metabolomic analysis was carried out by LC-MS-Orbitrap from extracts of freeze-dried legumes prepared from pre-cooked canned legumes. The metabolomic data treatment and statistical analysis were realized by using MAIT R's package, and final identification and characterization was done using MSn experiments. Fold-change evaluation was made through Metaboanalyst 4.0. Results showed 43 identified and characterized compounds displaying differences between the three legumes. Polyphenols, mainly flavonol and flavanol compounds, were the main group with 30 identified compounds, followed by α-galactosides (n = 5). Fatty acyls, prenol lipids, a nucleoside and organic compounds were also characterized. The fold-change analysis showed flavanols as the wider class of discriminative compounds of lentils compared to the other legumes; prenol lipids and eucomic acids were the most discriminative compounds of beans versus other legumes and several phenolic acids (such as primeveroside salycilic), kaempferol derivatives, coumesterol and α-galactosides were the most discriminative compounds of chickpeas. This study highlights the applicability of metabolomics for evaluating which are the characteristic compounds of the different legumes. In addition, it describes the future application of metabolomics as tool for the quality control of foods and authentication of different kinds of legumes.
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Affiliation(s)
- Rafael Llorach
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Science, Campus Torribera, University of Barcelona, 08028 Barcelona, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain
| | - Claudia Favari
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Science, Campus Torribera, University of Barcelona, 08028 Barcelona, Spain
| | - David Alonso
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Science, Campus Torribera, University of Barcelona, 08028 Barcelona, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Science, Campus Torribera, University of Barcelona, 08028 Barcelona, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Science, Campus Torribera, University of Barcelona, 08028 Barcelona, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain
| | - Mireia Urpi-Sarda
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Science, Campus Torribera, University of Barcelona, 08028 Barcelona, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain.
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18
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Ulaszewska MM, Mancini A, Garcia-Aloy M, Del Bubba M, Tuohy KM, Vrhovsek U. Isotopic dilution method for bile acid profiling reveals new sulfate glycine-conjugated dihydroxy bile acids and glucuronide bile acids in serum. J Pharm Biomed Anal 2019; 173:1-17. [PMID: 31100508 DOI: 10.1016/j.jpba.2019.05.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 04/02/2019] [Accepted: 05/02/2019] [Indexed: 01/08/2023]
Abstract
An ultrahigh performance liquid chromatography tandem mass spectrometry method (UHPLC-MS/MS) was developed for the determination of 41 target and 8 additional bile acids isomers (BAs) in biological fluids. BAs were analysed by solid-phase extraction on 50 μL biofluid-aliquots, followed by a properly optimised 27 min-chromatographic run. The method provided high sensitivity (limits of detection 0.0002-0.03 μM, limits of quantitation 0.0007-0.11 μM), linearity (R2>0.99) and precision (relative standard deviations ≤16%). A strategy of scheduled/ unscheduled injections of real samples together with neutral loss (80 Da and 176 Da) scans allowed us to find additional bile acid isomers not a priori included in the method, while high resolution full scan and MS/MS fragmentation analysis confirmed their structural adherence to the bile acid family. Moreover this is the first study quantifying four sulfate glycine conjugated-dihydroxy bile acid isomers, independently of the diet and postprandial time. Application to a dietary intervention kinetic study confirmed the existence of possible metabotypes amongst the study population (n = 20). A trend differentiating males from females was observed suggesting that serum samples from women contained smaller amounts of certain bile acids.
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Affiliation(s)
- Maria M Ulaszewska
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all'Adige, Trento, Italy.
| | - Andrea Mancini
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all'Adige, Trento, Italy
| | - Mar Garcia-Aloy
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all'Adige, Trento, Italy
| | - Massimo Del Bubba
- Department of Chemistry, University of Florence, Via della Lastruccia 3, 50019, Sesto Fiorentino, Florence, Italy
| | - Kieran Micheal Tuohy
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all'Adige, Trento, Italy
| | - Urska Vrhovsek
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all'Adige, Trento, Italy
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Camps-Bossacoma M, Garcia-Aloy M, Saldaña-Ruiz S, Cambras T, González-Domínguez R, Franch À, Pérez-Cano FJ, Andres-Lacueva C, Castell M. Role of Theobromine in Cocoa's Metabolic Properties in Healthy Rats. J Agric Food Chem 2019; 67:3605-3614. [PMID: 30855143 DOI: 10.1021/acs.jafc.8b07248] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Cocoa is rich in polyphenols and methylxanthines, and it has been reported that its consumption, among other properties, has beneficial effects on metabolism. This study aimed to investigate the role of theobromine in cocoa's metabolic properties in healthy rats. In addition to morphometric measurements, biochemical markers of lipids and glucose metabolism and gene expression of molecules related to immune cells in adipose and hepatic tissues were assessed after 7 or 18 days of diet. Additionally, a metabolomic analysis was carried out at day 7. This study revealed the presence of six discriminant metabolites in plasma due to the diets. Moreover, the results showed that theobromine is the main responsible factor for cocoa's effects on body weight gain as well as on lipid and glucose metabolism. The effects on body weight and lipids appeared as early as after 7 days of diet, whereas those affecting glucose metabolism required a longer intervention.
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Affiliation(s)
- Mariona Camps-Bossacoma
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, XaRTA, INSA-UB, Facultat de Farmàcia i Ciències de l'Alimentació, UB, Barcelona; CIBER de Fragilidad y Envejecimiento (CIBERFES) , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Sandra Saldaña-Ruiz
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Trinitat Cambras
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Raúl González-Domínguez
- Biomarkers and Nutrimetabolomics Laboratory, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, XaRTA, INSA-UB, Facultat de Farmàcia i Ciències de l'Alimentació, UB, Barcelona; CIBER de Fragilidad y Envejecimiento (CIBERFES) , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Àngels Franch
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Francisco J Pérez-Cano
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, XaRTA, INSA-UB, Facultat de Farmàcia i Ciències de l'Alimentació, UB, Barcelona; CIBER de Fragilidad y Envejecimiento (CIBERFES) , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Margarida Castell
- Secció de Fisiologia, Departament de Bioquímica i Fisiologia, Facultat de Farmàcia i Ciències de l'Alimentació; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB) , Universitat de Barcelona (UB) , Barcelona 08028 , Spain
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20
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Madrid-Gambin F, Garcia-Aloy M, Vázquez-Fresno R, Vegas-Lozano E, Sánchez-Pla A, Misawa K, Hase T, Shimotoyodome A, Andres-Lacueva C. Metabolic Signature of a Functional High-Catechin Tea after Acute and Sustained Consumption in Healthy Volunteers through 1H NMR Based Metabolomics Analysis of Urine. J Agric Food Chem 2019; 67:3118-3124. [PMID: 30574780 DOI: 10.1021/acs.jafc.8b04198] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Functional tea beverages have emerged as a novel approach to achieving health benefits associated with tea. The use of metabolomics may improve the evaluation of their consumption and their effects. The current study aimed at exploring the urinary signature of exposure to a functional high-catechin tea (HCT) using untargeted NMR-based metabolomics. Ten volunteers participated in a crossover intervention study. Individuals consumed an HCT or a control beverage over a period of 28 days. Multilevel partial least-squares discriminant analysis (ML-PLS-DA) was used for paired comparisons. A further crossover model was performed to assess the significant changes. The consumption of the HCT resulted in the excretion of theanine, epicatechin, pyrogallol sulfate, and higher levels of 3-methyl-2-oxovalerate and succinate, as well as unknown compounds. In conclusion, the present work established novel urinary signatures of a functional drink. Such signatures may be potential biomarkers and/or reflect certain benefits of functional tea beverages.
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Affiliation(s)
- Francisco Madrid-Gambin
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Campus Torribera, Faculty of Pharmacy and Food Sciences , University of Barcelona , Barcelona 08028 , Spain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona , Spain
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Campus Torribera, Faculty of Pharmacy and Food Sciences , University of Barcelona , Barcelona 08028 , Spain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona , Spain
| | - Rosa Vázquez-Fresno
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Campus Torribera, Faculty of Pharmacy and Food Sciences , University of Barcelona , Barcelona 08028 , Spain
| | | | - Alex Sánchez-Pla
- Department of Statistics , University of Barcelona , Barcelona 08028 , Spain
| | - Koichi Misawa
- Biological Science Laboratories , Kao Corporation , 2606 Akabane , Ichikai, Haga , Tochigi 321-3497 , Japan
| | - Tadashi Hase
- Biological Science Laboratories , Kao Corporation , 2606 Akabane , Ichikai, Haga , Tochigi 321-3497 , Japan
| | - Akira Shimotoyodome
- Biological Science Laboratories , Kao Corporation , 2606 Akabane , Ichikai, Haga , Tochigi 321-3497 , Japan
| | - Cristina Andres-Lacueva
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Campus Torribera, Faculty of Pharmacy and Food Sciences , University of Barcelona , Barcelona 08028 , Spain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona , Spain
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Palau-Rodriguez M, Garcia-Aloy M, Miñarro A, Bernal-Lopez MR, Brunius C, Gómez-Huelgas R, Landberg R, Tinahones FJ, Andres-Lacueva C. Effects of a long-term lifestyle intervention on metabolically healthy women with obesity: Metabolite profiles according to weight loss response. Clin Nutr 2019; 39:215-224. [PMID: 30862367 DOI: 10.1016/j.clnu.2019.01.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 01/13/2019] [Accepted: 01/15/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND & AIMS The benefits of weight loss in subjects with metabolically healthy obesity (MHO) are still a matter of controversy. We aimed to identify metabolic fingerprints and their associated pathways that discriminate women with MHO with high or low weight loss response after a lifestyle intervention, based on a hypocaloric Mediterranean diet (MedDiet) and physical activity. METHODS A UPLC-Q-Exactive-MS/MS metabolomics workflow was applied to plasma samples from 27 women with MHO before and after 12 months of a hypocaloric weight loss intervention with a MedDiet and increased physical activity. The subjects were stratified into two age-matched groups according to weight loss: <10% (low weight loss group, LWL) and >10% (high weight loss group, HWL). Random forest analysis was performed to identify metabolites discriminating between the LWL and the HWL as well as within-status effects. Modulated pathways and associations between metabolites and anthropometric and biochemical variables were also investigated. RESULTS Thirteen metabolites discriminated between the LWL and the HWL, including 1,5-anhydroglucitol, carotenediol, 3-(4-hydroxyphenyl)lactic acid, N-acetylaspartate and several lipid species (steroids, a plasmalogen, sphingomyelins, a bile acid and long-chain acylcarnitines). 1,5-anhydroglucitol, 3-(4-hydroxyphenyl)lactic acid and sphingomyelins were positively associated with weight variables whereas N-acetylaspartate and the plasmalogen correlated negatively with them. Changes in very long-chain acylcarnitines and hydroxyphenyllactic levels were observed in the HWL and positively correlated with fasting glucose, and changes in levels of the plasmalogen negatively correlated with insulin resistance. Additionally, the cholesterol profile was positively associated with changes in acid hydroxyphenyllactic, sphingolipids and 1,5-AG. CONCLUSIONS Higher weight loss after a hypocaloric MedDiet and increased physical activity for 12 months is associated with changes in the plasma metabolome in women with MHO. These findings are associated with changes in biochemical variables and may suggest an improvement of the cardiometabolic risk profile in those patients that lose greater weight. Further studies are needed to investigate whether the response of those subjects with MHO to this intervention differs from those with unhealthy obesity.
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Affiliation(s)
- Magali Palau-Rodriguez
- 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
| | - Mar Garcia-Aloy
- 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
| | - Antonio Miñarro
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029, Madrid, Spain; Genetics, Microbiology and Statistics Department, Biology Faculty, University of Barcelona, Barcelona, 08028, Spain
| | - M Rosa Bernal-Lopez
- Internal Medicine Department, Biomedical Institute of Malaga (IBIMA), Regional University Hospital of Malaga (Carlos Haya Hospital), 29010, Malaga, Spain; Ciber Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Carl Brunius
- Department of Biology and Biological Engineering, Chalmers University of Technology, 412 58, Göteborg, Sweden
| | - Ricardo Gómez-Huelgas
- Internal Medicine Department, Biomedical Institute of Malaga (IBIMA), Regional University Hospital of Malaga (Carlos Haya Hospital), 29010, Malaga, Spain; Ciber Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Rikard Landberg
- Department of Biology and Biological Engineering, Chalmers University of Technology, 412 58, Göteborg, Sweden
| | - Francisco J Tinahones
- Ciber Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029, Madrid, Spain; Endocrinology and Nutrition Department, Biomedical Institute of Malaga (IBIMA), Regional University Hospital of Malaga (Virgen de la Victoria Hospital), 29010, Malaga, 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.
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22
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Ulaszewska M, Vázquez-Manjarrez N, Garcia-Aloy M, Llorach R, Mattivi F, Dragsted LO, Praticò G, Manach C. Food intake biomarkers for apple, pear, and stone fruit. Genes Nutr 2018; 13:29. [PMID: 30519365 PMCID: PMC6267079 DOI: 10.1186/s12263-018-0620-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 11/06/2018] [Indexed: 12/18/2022]
Abstract
Fruit is a key component of a healthy diet. However, it is still not clear whether some classes of fruit may be more beneficial than others and whether all individuals whatever their age, gender, health status, genotype, or gut microbiota composition respond in the same way to fruit consumption. Such questions require further observational and intervention studies in which the intake of a specific fruit can be precisely assessed at the population and individual levels. Within the Food Biomarker Alliance Project (FoodBAll Project) under the Joint Programming Initiative “A Healthy Diet for a Healthy Life”, an ambitious action was undertaken aiming at reviewing existent literature in a systematic way to identify validated and promising biomarkers of intake for all major food groups, including fruits. This paper belongs to a series of reviews following the same BFIRev protocol and is focusing on biomarkers of pome and stone fruit intake. Selected candidate biomarkers extracted from the literature search went through a validation process specifically developed for food intake biomarkers.
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Affiliation(s)
- Marynka Ulaszewska
- 1Research and Innovation Centre Food Quality and Nutrition, Fondazione Edmund Mach, Via Mach 1, San Michele all'Adige, 38010 Trento, Italy
| | - Natalia Vázquez-Manjarrez
- 2Human Nutrition Unit, Université Clermont Auvergne, INRA, F63000 Clermont-Ferrand, France.,3Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Mar Garcia-Aloy
- 4Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain.,5CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Rafael Llorach
- 4Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain.,5CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Fulvio Mattivi
- 1Research and Innovation Centre Food Quality and Nutrition, Fondazione Edmund Mach, Via Mach 1, San Michele all'Adige, 38010 Trento, Italy.,6Center Agriculture Food Environment, University of Trento, San Michele all'Adige, Trento, Italy
| | - Lars O Dragsted
- 3Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Giulia Praticò
- 3Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Claudine Manach
- 2Human Nutrition Unit, Université Clermont Auvergne, INRA, F63000 Clermont-Ferrand, France
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23
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Bayram B, González-Sarrías A, Istas G, Garcia-Aloy M, Morand C, Tuohy K, García-Villalba R, Mena P. Breakthroughs in the Health Effects of Plant Food Bioactives: A Perspective on Microbiomics, Nutri(epi)genomics, and Metabolomics. J Agric Food Chem 2018; 66:10686-10692. [PMID: 30208704 DOI: 10.1021/acs.jafc.8b03385] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Plant bioactive compounds consumed as part of our diet are able to influence human health. They include secondary metabolites like (poly)phenols, carotenoids, glucosinolates, alkaloids, and terpenes. Although much knowledge has been gained, there is still need for studies unravelling the effects of plant bioactives on cardiometabolic health at the individual level, using cutting-edge high-resolution and data-rich holistic approaches. The aim of this Perspective is to review the prospects of microbiomics, nutrigenomics and nutriepigenomics, and metabolomics to assess the response to plant bioactive consumption while considering interindividual variability. Insights for future research in the field toward personalized nutrition are discussed.
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Affiliation(s)
- Banu Bayram
- Department of Nutrition and Dietetics , University of Health Sciences , Tibbiye Cad. No: 38 , 34668 Uskudar, Istanbul , Turkey
| | - Antonio González-Sarrías
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC , Campus de Espinardo , Murcia E-30100, Spain
| | - Geoffrey Istas
- Department of Nutritional Sciences, Faculty of Life Sciences and Medicine , King's College London , London WC2R 2LS , U.K
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences , University of Barcelona , Barcelona 08007 , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona 28029 , Spain
| | - Christine Morand
- Université Clermont Auvergne, INRA, UNH, CRNH Auvergne , F-63000 Clermont-Ferrand , France
| | - Kieran Tuohy
- Department of Food Quality and Nutrition, Research and Innovation Centre , Fondazione Edmund Mach , Via E. Mach, 1 , San Michele all'Adige, 38010 Trento , Italy
| | - Rocío García-Villalba
- Laboratory of Food & Health, Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC , Campus de Espinardo , Murcia E-30100, Spain
| | - Pedro Mena
- Human Nutrition Unit, Department of Food & Drugs , University of Parma , Via Volturno 39 , 43125 Parma , Italy
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24
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Ulaszewska MM, Weinert CH, Trimigno A, Portmann R, Andres Lacueva C, Badertscher R, Brennan L, Brunius C, Bub A, Capozzi F, Cialiè Rosso M, Cordero CE, Daniel H, Durand S, Egert B, Ferrario PG, Feskens EJM, Franceschi P, Garcia-Aloy M, Giacomoni F, Giesbertz P, González-Domínguez R, Hanhineva K, Hemeryck LY, Kopka J, Kulling SE, Llorach R, Manach C, Mattivi F, Migné C, Münger LH, Ott B, Picone G, Pimentel G, Pujos-Guillot E, Riccadonna S, Rist MJ, Rombouts C, Rubert J, Skurk T, Sri Harsha PSC, Van Meulebroek L, Vanhaecke L, Vázquez-Fresno R, Wishart D, Vergères G. Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies. Mol Nutr Food Res 2018; 63:e1800384. [PMID: 30176196 DOI: 10.1002/mnfr.201800384] [Citation(s) in RCA: 142] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 07/10/2018] [Indexed: 12/13/2022]
Abstract
The life sciences are currently being transformed by an unprecedented wave of developments in molecular analysis, which include important advances in instrumental analysis as well as biocomputing. In light of the central role played by metabolism in nutrition, metabolomics is rapidly being established as a key analytical tool in human nutritional studies. Consequently, an increasing number of nutritionists integrate metabolomics into their study designs. Within this dynamic landscape, the potential of nutritional metabolomics (nutrimetabolomics) to be translated into a science, which can impact on health policies, still needs to be realized. A key element to reach this goal is the ability of the research community to join, to collectively make the best use of the potential offered by nutritional metabolomics. This article, therefore, provides a methodological description of nutritional metabolomics that reflects on the state-of-the-art techniques used in the laboratories of the Food Biomarker Alliance (funded by the European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL)) as well as points of reflections to harmonize this field. It is not intended to be exhaustive but rather to present a pragmatic guidance on metabolomic methodologies, providing readers with useful "tips and tricks" along the analytical workflow.
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Affiliation(s)
- Marynka M Ulaszewska
- Department of Food Quality and Nutrition, Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy
| | - Christoph H Weinert
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany
| | - Alessia Trimigno
- Department of Agricultural and Food Science, University of Bologna, Italy
| | - Reto Portmann
- Method Development and Analytics Research Division, Agroscope, Federal Office for Agriculture, Berne, Switzerland
| | - Cristina Andres Lacueva
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain. CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - René Badertscher
- Method Development and Analytics Research Division, Agroscope, Federal Office for Agriculture, Berne, Switzerland
| | - Lorraine Brennan
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Carl Brunius
- Department of Biology and Biological Engineering, Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden
| | - Achim Bub
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Francesco Capozzi
- Department of Agricultural and Food Science, University of Bologna, Italy
| | - Marta Cialiè Rosso
- Dipartimento di Scienza e Tecnologia del Farmaco Università degli Studi di Torino, Turin, Italy
| | - Chiara E Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco Università degli Studi di Torino, Turin, Italy
| | - Hannelore Daniel
- Nutritional Physiology, Technische Universität München, Freising, Germany
| | - Stéphanie Durand
- Plateforme d'Exploration du Métabolisme, MetaboHUB-Clermont, INRA, Human Nutrition Unit, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Bjoern Egert
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany
| | - Paola G Ferrario
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Edith J M Feskens
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Pietro Franceschi
- Computational Biology Unit, Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain. CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Franck Giacomoni
- Plateforme d'Exploration du Métabolisme, MetaboHUB-Clermont, INRA, Human Nutrition Unit, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Pieter Giesbertz
- Molecular Nutrition Unit, Technische Universität München, Freising, Germany
| | - Raúl González-Domínguez
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain. CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition, Department of Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Lieselot Y Hemeryck
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Joachim Kopka
- Department of Molecular Physiology, Applied Metabolome Analysis, Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Sabine E Kulling
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany
| | - Rafael Llorach
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain. CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Claudine Manach
- INRA, UMR 1019, Human Nutrition Unit, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Fulvio Mattivi
- Department of Food Quality and Nutrition, Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy.,Center Agriculture Food Environment, University of Trento, San Michele all'Adige, Italy
| | - Carole Migné
- Plateforme d'Exploration du Métabolisme, MetaboHUB-Clermont, INRA, Human Nutrition Unit, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Linda H Münger
- Food Microbial Systems Research Division, Agroscope, Federal Office for Agriculture, Berne, Switzerland
| | - Beate Ott
- Else Kröner Fresenius Center for Nutritional Medicine, Technical University of Munich, Munich, Germany.,ZIEL Institute for Food and Health, Core Facility Human Studies, Technical University of Munich, Freising, Germany
| | - Gianfranco Picone
- Department of Agricultural and Food Science, University of Bologna, Italy
| | - Grégory Pimentel
- Food Microbial Systems Research Division, Agroscope, Federal Office for Agriculture, Berne, Switzerland
| | - Estelle Pujos-Guillot
- Plateforme d'Exploration du Métabolisme, MetaboHUB-Clermont, INRA, Human Nutrition Unit, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Samantha Riccadonna
- Computational Biology Unit, Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy
| | - Manuela J Rist
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Caroline Rombouts
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Josep Rubert
- Department of Food Quality and Nutrition, Fondazione Edmund Mach, Research and Innovation Centre, San Michele all'Adige, Italy
| | - Thomas Skurk
- Else Kröner Fresenius Center for Nutritional Medicine, Technical University of Munich, Munich, Germany.,ZIEL Institute for Food and Health, Core Facility Human Studies, Technical University of Munich, Freising, Germany
| | - Pedapati S C Sri Harsha
- School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Dublin, Ireland
| | - Lieven Van Meulebroek
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Lynn Vanhaecke
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Rosa Vázquez-Fresno
- Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, Canada
| | - David Wishart
- Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, Canada
| | - Guy Vergères
- Food Microbial Systems Research Division, Agroscope, Federal Office for Agriculture, Berne, Switzerland
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25
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Münger LH, Garcia-Aloy M, Vázquez-Fresno R, Gille D, Rosana ARR, Passerini A, Soria-Florido MT, Pimentel G, Sajed T, Wishart DS, Andres Lacueva C, Vergères G, Praticò G. Biomarker of food intake for assessing the consumption of dairy and egg products. Genes Nutr 2018; 13:26. [PMID: 30279743 PMCID: PMC6162878 DOI: 10.1186/s12263-018-0615-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 09/10/2018] [Indexed: 12/20/2022]
Abstract
Dairy and egg products constitute an important part of Western diets as they represent an excellent source of high-quality proteins, vitamins, minerals and fats. Dairy and egg products are highly diverse and their associations with a range of nutritional and health outcomes are therefore heterogeneous. Such associations are also often weak or debated due to the difficulty in establishing correct assessments of dietary intake. Therefore, in order to better characterize associations between the consumption of these foods and health outcomes, it is important to identify reliable biomarkers of their intake. Biomarkers of food intake (BFIs) provide an accurate measure of intake, which is independent of the memory and sincerity of the subjects as well as of their knowledge about the consumed foods. We have, therefore, conducted a systematic search of the scientific literature to evaluate the current status of potential BFIs for dairy products and BFIs for egg products commonly consumed in Europe. Strikingly, only a limited number of compounds have been reported as markers for the intake of these products and none of them have been sufficiently validated. A series of challenges hinders the identification and validation of BFI for dairy and egg products, in particular, the heterogeneous composition of these foods and the lack of specificity of the markers identified so far. Further studies are, therefore, necessary to validate these compounds and to discover new candidate BFIs. Untargeted metabolomic strategies may allow the identification of novel biomarkers, which, when taken separately or in combination, could be used to assess the intake of dairy and egg products.
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Affiliation(s)
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Rosa Vázquez-Fresno
- Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - Doreen Gille
- Agroscope, Bern, Switzerland
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland
| | - Albert Remus R Rosana
- Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - Anna Passerini
- University of Copenhagen, NEXS 30, Rolighedsvej, DK-1958 Frederiksberg C, Denmark
| | - María-Trinidad Soria-Florido
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain
| | - Grégory Pimentel
- Agroscope, Bern, Switzerland
- Service of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, CHUV, Lausanne, Switzerland
| | - Tanvir Sajed
- Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - David S Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9 Canada
- Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E9 Canada
| | - Cristina Andres Lacueva
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | | | - Giulia Praticò
- University of Copenhagen, NEXS 30, Rolighedsvej, DK-1958 Frederiksberg C, Denmark
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26
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Sri Harsha PSC, Wahab RA, Garcia-Aloy M, Madrid-Gambin F, Estruel-Amades S, Watzl B, Andrés-Lacueva C, Brennan L. Biomarkers of legume intake in human intervention and observational studies: a systematic review. Genes Nutr 2018; 13:25. [PMID: 30214640 PMCID: PMC6131749 DOI: 10.1186/s12263-018-0614-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 08/14/2018] [Indexed: 11/10/2022]
Abstract
There is a growing interest in assessing dietary intake more accurately across different population groups, and biomarkers have emerged as a complementary tool to replace traditional dietary assessment methods. The purpose of this study was to conduct a systematic review of the literature available and evaluate the applicability and validity of biomarkers of legume intake reported across various observational and intervention studies. A systematic search in PubMed, Scopus, and ISI Web of Knowledge identified 44 studies which met the inclusion criteria for the review. Results from observational studies focused on soy or soy-based foods and demonstrated positive correlations between soy intake and urinary, plasma or serum isoflavonoid levels in different population groups. Similarly, intervention studies demonstrated increased genistein and daidzein levels in urine and plasma following soy intake. Both genistein and daidzein exhibited dose-response relationships. Other isoflavonoid levels such as O-desmethylangolensin (O-DMA) and equol were also reported to increase following soy consumption. Using a developed scoring system, genistein and daidzein can be considered as promising candidate markers for soy consumption. Furthermore, genistein and daidzein also served as good estimates of soy intake as evidenced from long-term exposure studies marking their status as validated biomarkers. On the contrary, only few studies indicated proposed biomarkers for pulses intake, with pipecolic acid and S-methylcysteine reported as markers reflecting dry bean consumption, unsaturated aliphatic, hydroxyl-dicarboxylic acid related to green beans intake and trigonelline reported as marker of peas consumption. However, data regarding criteria such as specificity, dose-response and time-response relationship, reliability, and feasibility to evaluate the validity of these markers is lacking. In conclusion, despite many studies suggesting proposed biomarkers for soy, there is a lack of information on markers of other different subtypes of legumes. Further discovery and validation studies are needed in order to identify reliable biomarkers of legume intake.
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Affiliation(s)
- Pedapati S C Sri Harsha
- 1UCD School of Agriculture and Food Science, UCD Institute of Food and Health, UCD, Belfield, Dublin 4, Ireland
| | - Roshaida Abdul Wahab
- 1UCD School of Agriculture and Food Science, UCD Institute of Food and Health, UCD, Belfield, Dublin 4, Ireland
| | - Mar Garcia-Aloy
- 2Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,3CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Francisco Madrid-Gambin
- 2Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,3CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Sheila Estruel-Amades
- 2Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
| | - Bernhard Watzl
- 4Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany
| | - Cristina Andrés-Lacueva
- 2Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.,3CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Lorraine Brennan
- 1UCD School of Agriculture and Food Science, UCD Institute of Food and Health, UCD, Belfield, Dublin 4, Ireland
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27
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Madrid-Gambin F, Brunius C, Garcia-Aloy M, Estruel-Amades S, Landberg R, Andres-Lacueva C. Untargeted 1H NMR-Based Metabolomics Analysis of Urine and Serum Profiles after Consumption of Lentils, Chickpeas, and Beans: An Extended Meal Study To Discover Dietary Biomarkers of Pulses. J Agric Food Chem 2018; 66:6997-7005. [PMID: 29920085 DOI: 10.1021/acs.jafc.8b00047] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
High legume intake has been shown to have beneficial effects on the health of humans. The use of nutritional biomarkers, as a complement to self-reported questionnaires, could assist in evaluating dietary intake and downstream effects on human health. The aim of this study was to investigate potential biomarkers of the consumption of pulses (i.e., white beans, chickpeas, and lentils) by using untargeted NMR-based metabolomics. Meals rich in pulses were consumed by a total of 11 participants in a randomized crossover study and multilevel partial least-squares regression was employed for paired comparisons. Metabolomics analysis indicated that trigonelline, 3-methylhistidine, dimethylglycine, trimethylamine, and lysine were potential, though not highly specific, biomarkers of pulse intake. Furthermore, monitoring of these metabolites for a period of 48 h after intake revealed a range of different excretion patterns among pulses. Following the consumption of pulses, a metabolomic profiling revealed that the concentration ratios of trigonelline, choline, lysine, and histidine were similar to those found in urine. In conclusion, this study identified potential urinary biomarkers of exposure to dietary pulses and provided valuable information about the time-response effect of these putative biomarkers.
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Affiliation(s)
- Francisco Madrid-Gambin
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA , Faculty of Pharmacy and Food Sciences, University of Barcelona , Barcelona 08028 , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona , Spain
| | - Carl Brunius
- Department of Biology and Biological Engineering, Food and Nutrition Science , Chalmers University of Technology , Gothenburg SE-412 96 , Sweden
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA , Faculty of Pharmacy and Food Sciences, University of Barcelona , Barcelona 08028 , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona , Spain
| | - Sheila Estruel-Amades
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA , Faculty of Pharmacy and Food Sciences, University of Barcelona , Barcelona 08028 , Spain
| | - Rikard Landberg
- Department of Molecular Sciences , Swedish University of Agricultural Sciences , Uppsala 750 07 , Sweden
- Department of Biology and Biological Engineering, Food and Nutrition Science , Chalmers University of Technology , Gothenburg SE-412 96 , Sweden
| | - Cristina Andres-Lacueva
- Biomarkers & Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA , Faculty of Pharmacy and Food Sciences, University of Barcelona , Barcelona 08028 , Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona , Spain
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28
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Rothwell JA, Madrid-Gambin F, Garcia-Aloy M, Andres-Lacueva C, Logue C, Gallagher AM, Mack C, Kulling SE, Gao Q, Praticò G, Dragsted LO, Scalbert A. Biomarkers of intake for coffee, tea, and sweetened beverages. Genes Nutr 2018; 13:15. [PMID: 29997698 PMCID: PMC6030755 DOI: 10.1186/s12263-018-0607-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 06/08/2018] [Indexed: 01/03/2023]
Abstract
Non-alcoholic beverages are important sources of nutrients and bioactive compounds that may influence human health and increase or decrease the risk of chronic diseases. A wide variety of beverage constituents are absorbed in the gut, found in the systemic circulation and excreted in urine. They may be used as compliance markers in intervention studies or as biomarkers of intake to improve measurements of beverage consumption in cohort studies and reveal new associations with disease outcomes that may have been overlooked when using dietary questionnaires. Here, biomarkers of intake of some major non-alcoholic beverages-coffee, tea, sugar-sweetened beverages, and low-calorie-sweetened beverages-are reviewed. Results from dietary intervention studies and observational studies are reviewed and analyzed, and respective strengths and weaknesses of the various identified biomarkers discussed. A variety of compounds derived from phenolic acids, alkaloids, and terpenes were shown to be associated with coffee intake and trigonelline and cyclo(isoleucylprolyl) showed a particularly high specificity for coffee intake. Epigallocatechin and 4'-O-methylepigallocatechin appear to be the most sensitive and specific biomarkers for green or black tea, while 4-O-methylgallic acid may be used to assess black tea consumption. Intake of sugar-sweetened beverages has been assessed through the measurement of carbon-13 enrichment of whole blood or of blood alanine in North America where sugar from sugarcane or corn is used as a main ingredient. The most useful biomarkers for low-calorie-sweetened beverages are the low-calorie sweeteners themselves. Further studies are needed to validate these biomarkers in larger and independent populations and to further evaluate their specificity, reproducibility over time, and fields of application.
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Affiliation(s)
- Joseph A. Rothwell
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Section, Biomarkers Group, 150 Cours Albert Thomas, F-69372 Lyon CEDEX 08, France
| | - Francisco Madrid-Gambin
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Caomhan Logue
- Nutrition Innovation Centre for Food and Health (NICHE), Biomedical Sciences Research Institute, Ulster University, Cromore Road, Coleraine, Northern Ireland
| | - Alison M. Gallagher
- Nutrition Innovation Centre for Food and Health (NICHE), Biomedical Sciences Research Institute, Ulster University, Cromore Road, Coleraine, Northern Ireland
| | - Carina Mack
- Department of Safety and Quality of Fruit and Vegetables, Federal Research Institute of Nutrition and Food, Max Rubner-Institut, Karlsruhe, Germany
| | - Sabine E. Kulling
- Department of Safety and Quality of Fruit and Vegetables, Federal Research Institute of Nutrition and Food, Max Rubner-Institut, Karlsruhe, Germany
| | - Qian Gao
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Giulia Praticò
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Lars O. Dragsted
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Augustin Scalbert
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Section, Biomarkers Group, 150 Cours Albert Thomas, F-69372 Lyon CEDEX 08, France
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29
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Almanza-Aguilera E, Brunius C, Bernal-Lopez MR, Garcia-Aloy M, Madrid-Gambin F, Tinahones FJ, Gómez-Huelgas R, Landberg R, Andres-Lacueva C. Impact in Plasma Metabolome as Effect of Lifestyle Intervention for Weight-Loss Reveals Metabolic Benefits in Metabolically Healthy Obese Women. J Proteome Res 2018; 17:2600-2610. [PMID: 29877711 DOI: 10.1021/acs.jproteome.8b00042] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Little is known regarding metabolic benefits of weight loss (WL) on the metabolically healthy obese (MHO) patients. We aimed to examine the impact of a lifestyle weight loss (LWL) treatment on the plasma metabolomic profile in MHO individuals. Plasma samples from 57 MHO women allocated to an intensive LWL treatment group (TG, hypocaloric Mediterranean diet and regular physical activity, n = 30) or to a control group (CG, general recommendations of a healthy diet and physical activity, n = 27) were analyzed using an untargeted 1H NMR metabolomics approach at baseline, after 3 months (intervention), and 12 months (follow-up). The impact of the LWL intervention on plasma metabolome was statistically significant at 3 months but not at follow-up and included higher levels of formate and phosphocreatine and lower levels of LDL/VLDL (signals) and trimethylamine in the TG. These metabolites were also correlated with WL. Higher myo-inositol, methylguanidine, and 3-hydroxybutyrate, and lower proline, were also found in the TG; higher levels of hippurate and asparagine, and lower levels of 2-hydroxybutyrate and creatine, were associated with WL. The current findings suggest that an intensive LWL treatment, and the consequent WL, leads to an improved plasma metabolic profile in MHO women through its impact on energy, amino acid, lipoprotein, and microbial metabolism.
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Affiliation(s)
- Enrique Almanza-Aguilera
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , Avinguda Joan XXIII 27-31 , Barcelona 08028 , Spain.,CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona 08028 , Spain
| | - Carl Brunius
- Department of Food Science , Swedish University of Agricultural Sciences , Uppsala 750 07 , Sweden.,Food and Nutrition Division, Department of Biology and Biological Engineering , Chalmers University of Technology , Göteborg 412 58 , Sweden
| | - M Rosa Bernal-Lopez
- Internal Medicine Department, Biomedical Institute of Malaga (IBIMA) , Regional University Hospital of Malaga (Carlos Haya Hospital) , Málaga 29010 , Spain.,Ciber Fisiopatología de la Obesidad y Nutrición , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , Avinguda Joan XXIII 27-31 , Barcelona 08028 , Spain.,CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona 08028 , Spain
| | - Francisco Madrid-Gambin
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , Avinguda Joan XXIII 27-31 , Barcelona 08028 , Spain.,CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona 08028 , Spain
| | - Francisco J Tinahones
- Ciber Fisiopatología de la Obesidad y Nutrición , Instituto de Salud Carlos III , Madrid 28029 , Spain.,Endocrinology and Nutrition Department, Biomedical Institute of Malaga (IBIMA) , Regional University Hospital of Malaga (Virgen de la Victoria Hospital) , Málaga 29010 , Spain
| | - Ricardo Gómez-Huelgas
- Internal Medicine Department, Biomedical Institute of Malaga (IBIMA) , Regional University Hospital of Malaga (Carlos Haya Hospital) , Málaga 29010 , Spain.,Ciber Fisiopatología de la Obesidad y Nutrición , Instituto de Salud Carlos III , Madrid 28029 , Spain
| | - Rikard Landberg
- Department of Food Science , Swedish University of Agricultural Sciences , Uppsala 750 07 , Sweden.,Food and Nutrition Division, Department of Biology and Biological Engineering , Chalmers University of Technology , Göteborg 412 58 , Sweden
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences , University of Barcelona , Avinguda Joan XXIII 27-31 , Barcelona 08028 , Spain.,CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES) , Instituto de Salud Carlos III , Barcelona 08028 , Spain
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30
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Dragsted LO, Gao Q, Scalbert A, Vergères G, Kolehmainen M, Manach C, Brennan L, Afman LA, Wishart DS, Andres Lacueva C, Garcia-Aloy M, Verhagen H, Feskens EJM, Praticò G. Validation of biomarkers of food intake-critical assessment of candidate biomarkers. Genes Nutr 2018; 13:14. [PMID: 29861790 PMCID: PMC5975465 DOI: 10.1186/s12263-018-0603-9] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 04/19/2018] [Indexed: 12/12/2022]
Abstract
Biomarkers of food intake (BFIs) are a promising tool for limiting misclassification in nutrition research where more subjective dietary assessment instruments are used. They may also be used to assess compliance to dietary guidelines or to a dietary intervention. Biomarkers therefore hold promise for direct and objective measurement of food intake. However, the number of comprehensively validated biomarkers of food intake is limited to just a few. Many new candidate biomarkers emerge from metabolic profiling studies and from advances in food chemistry. Furthermore, candidate food intake biomarkers may also be identified based on extensive literature reviews such as described in the guidelines for Biomarker of Food Intake Reviews (BFIRev). To systematically and critically assess the validity of candidate biomarkers of food intake, it is necessary to outline and streamline an optimal and reproducible validation process. A consensus-based procedure was used to provide and evaluate a set of the most important criteria for systematic validation of BFIs. As a result, a validation procedure was developed including eight criteria, plausibility, dose-response, time-response, robustness, reliability, stability, analytical performance, and inter-laboratory reproducibility. The validation has a dual purpose: (1) to estimate the current level of validation of candidate biomarkers of food intake based on an objective and systematic approach and (2) to pinpoint which additional studies are needed to provide full validation of each candidate biomarker of food intake. This position paper on biomarker of food intake validation outlines the second step of the BFIRev procedure but may also be used as such for validation of new candidate biomarkers identified, e.g., in food metabolomic studies.
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Affiliation(s)
- L. O. Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Q. Gao
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - A. Scalbert
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Section, Biomarkers Group, Lyon, France
| | - G. Vergères
- Agroscope, Federal Office of Agriculture, Berne, Switzerland
| | | | - C. Manach
- INRA, Human Nutrition Unit, Université Clermont Auvergne, F63000 Clermont-Ferrand, France
| | - L. Brennan
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - L. A. Afman
- Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - D. S. Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, Canada
| | - C. Andres Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - M. Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - H. Verhagen
- European Food Safety Authority (EFSA), Parma, Italy
- University of Ulster, Coleraine, NIR UK
| | - E. J. M. Feskens
- Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - G. Praticò
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
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31
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García-Conesa MT, Chambers K, Combet E, Pinto P, Garcia-Aloy M, Andrés-Lacueva C, de Pascual-Teresa S, Mena P, Konic Ristic A, Hollands WJ, Kroon PA, Rodríguez-Mateos A, Istas G, Kontogiorgis CA, Rai DK, Gibney ER, Morand C, Espín JC, González-Sarrías A. Meta-Analysis of the Effects of Foods and Derived Products Containing Ellagitannins and Anthocyanins on Cardiometabolic Biomarkers: Analysis of Factors Influencing Variability of the Individual Responses. Int J Mol Sci 2018; 19:ijms19030694. [PMID: 29495642 PMCID: PMC5877555 DOI: 10.3390/ijms19030694] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 02/15/2018] [Accepted: 02/26/2018] [Indexed: 12/20/2022] Open
Abstract
Understanding interindividual variability in response to dietary polyphenols remains essential to elucidate their effects on cardiometabolic disease development. A meta-analysis of 128 randomized clinical trials was conducted to investigate the effects of berries and red grapes/wine as sources of anthocyanins and of nuts and pomegranate as sources of ellagitannins on a range of cardiometabolic risk biomarkers. The potential influence of various demographic and lifestyle factors on the variability in the response to these products were explored. Both anthocyanin- and ellagitannin-containing products reduced total-cholesterol with nuts and berries yielding more significant effects than pomegranate and grapes. Blood pressure was significantly reduced by the two main sources of anthocyanins, berries and red grapes/wine, whereas waist circumference, LDL-cholesterol, triglycerides, and glucose were most significantly lowered by the ellagitannin-products, particularly nuts. Additionally, we found an indication of a small increase in HDL-cholesterol most significant with nuts and, in flow-mediated dilation by nuts and berries. Most of these effects were detected in obese/overweight people but we found limited or non-evidence in normoweight individuals or of the influence of sex or smoking status. The effects of other factors, i.e., habitual diet, health status or country where the study was conducted, were inconsistent and require further investigation.
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Affiliation(s)
- María-Teresa García-Conesa
- Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, P.O. Box 164, Campus de Espinardo, 30100 Murcia, Spain.
| | - Karen Chambers
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UA, UK.
| | - Emilie Combet
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G31 2ER, UK.
| | - Paula Pinto
- Biotechnology and Nutrition, Department of Food Technology, ESA, Polytechnic Institute of Santarem, 2001-904 Santarém, Portugal.
- Molecular Nutrition Health Laboratory, iBET/ITQB, 2780-157 Oeiras, Portugal.
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciencies, University of Barcelona, 08028 Barcelona, Spain.
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain.
| | - Cristina Andrés-Lacueva
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XaRTA, INSA, Faculty of Pharmacy and Food Sciencies, University of Barcelona, 08028 Barcelona, Spain.
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain.
| | - Sonia de Pascual-Teresa
- Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN-CSIC), Jose Antonio Novais 10, 28040 Madrid, Spain.
| | - Pedro Mena
- Human Nutrition Unit, Department of Food Drug, University of Parma, 43125 Parma, Italy.
| | - Alekxandra Konic Ristic
- Institute for Medical Research, University of Belgrade, 11000 Belgrade, Serbia.
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK.
| | - Wendy J Hollands
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UA, UK.
| | - Paul A Kroon
- Quadram Institute Bioscience, Norwich Research Park, Norwich NR4 7UA, UK.
| | - Ana Rodríguez-Mateos
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Science and Medicine, King's College London, London SE1 9NH, UK.
| | - Geoffrey Istas
- Department of Nutritional Sciences, School of Life Course Sciences, Faculty of Life Science and Medicine, King's College London, London SE1 9NH, UK.
| | - Christos A Kontogiorgis
- Laboratory of Hygiene and Environmental Protection, Department of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece.
| | - Dilip K Rai
- Teagasc Food Research Centre Ashtown, D15 KN3K Dublin, Ireland.
| | - Eileen R Gibney
- UCD Institute of Food and Health, University College Dublin, Dublin 4, Ireland.
| | - Christine Morand
- INRA, Human Nutrition Unit, UCA, CRNH Auvergne, F-63000 Clermont-Ferrand, France.
| | - Juan Carlos Espín
- Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, P.O. Box 164, Campus de Espinardo, 30100 Murcia, Spain.
| | - Antonio González-Sarrías
- Research Group on Quality, Safety and Bioactivity of Plant Foods, CEBAS-CSIC, P.O. Box 164, Campus de Espinardo, 30100 Murcia, Spain.
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32
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Praticò G, Gao Q, Scalbert A, Vergères G, Kolehmainen M, Manach C, Brennan L, Pedapati SH, Afman LA, Wishart DS, Vázquez-Fresno R, Andres-Lacueva C, Garcia-Aloy M, Verhagen H, Feskens EJM, Dragsted LO. Guidelines for Biomarker of Food Intake Reviews (BFIRev): how to conduct an extensive literature search for biomarker of food intake discovery. Genes Nutr 2018; 13:3. [PMID: 29484030 PMCID: PMC5819202 DOI: 10.1186/s12263-018-0592-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 01/30/2018] [Indexed: 12/28/2022]
Abstract
Identification of new biomarkers of food and nutrient intake has developed fast over the past two decades and could potentially provide important new tools for compliance monitoring and dietary intake assessment in nutrition and health science. In recent years, metabolomics has played an important role in identifying a large number of putative biomarkers of food intake (BFIs). However, the large body of scientific literature on potential BFIs outside the metabolomics area should also be taken into account. In particular, we believe that extensive literature reviews should be conducted and that the quality of all suggested biomarkers should be systematically evaluated. In order to cover the literature on BFIs in the most appropriate and consistent manner, there is a need for appropriate guidelines on this topic. These guidelines should build upon guidelines in related areas of science while targeting the special needs of biomarker methodology. This document provides a guideline for conducting an extensive literature search on BFIs, which will provide the basis to systematically validate BFIs. This procedure will help to prioritize future work on the identification of new potential biomarkers and on validating these as well as other biomarker candidates, thereby providing better tools for future studies in nutrition and health.
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Affiliation(s)
- Giulia Praticò
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Qian Gao
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Augustin Scalbert
- Nutrition and Metabolism Section, Biomarkers Group, International Agency for Research on Cancer (IARC), Lyon, France
| | - Guy Vergères
- Agroscope, Federal Office of Agriculture, Berne, Switzerland
| | | | - Claudine Manach
- INRA, Human Nutrition Unit, Université Clermont Auvergne, F63000 Clermont-Ferrand, France
| | - Lorraine Brennan
- UCD, Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Sri Harsha Pedapati
- UCD, Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Lydia A. Afman
- Division of Human Nutrition, Wageningen UR, Wageningen, The Netherlands
| | - David S. Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, Canada
| | | | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Hans Verhagen
- European Food Safety Authority (EFSA), Parma, Italy
- University of Ulster, Coleraine, Northern Ireland UK
| | | | - Lars O. Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
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33
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Garcia-Aloy M, Andres-Lacueva C. Food Intake Biomarkers for Increasing the Efficiency of Dietary Pattern Assessment through the Use of Metabolomics: Unforeseen Research Requirements for Addressing Current Gaps. J Agric Food Chem 2018; 66:5-7. [PMID: 29272125 DOI: 10.1021/acs.jafc.7b05586] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Affiliation(s)
- Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona , Avinguda Joan XXIII 27-31, 08028 Barcelona, Spain ; CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona , Avinguda Joan XXIII 27-31, 08028 Barcelona, Spain ; CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
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34
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Silva S, Garcia-Aloy M, Figueira ME, Combet E, Mullen W, Bronze MR. High Resolution Mass Spectrometric Analysis of Secoiridoids and Metabolites as Biomarkers of Acute Olive Oil Intake-An Approach to Study Interindividual Variability in Humans. Mol Nutr Food Res 2017; 62. [DOI: 10.1002/mnfr.201700065] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 09/09/2017] [Indexed: 12/17/2022]
Affiliation(s)
- Sandra Silva
- iBET; Instituto de Biologia Experimental e Tecnológica; Oeiras Portugal
- Research Institute for Medicines (iMed.ULisboa); Faculty of Pharmacy; Universidade de Lisboa; Lisboa Portugal
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomic Laboratory; Department of Nutrition; Food Sciences and Gastronomy; Food Technology Reference Net (XaRTA); Nutrition and Food Safety Research Institute (INSA); Faculty of Pharmacy and Food Sciences; University of Barcelona; Barcelona Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES); Instituto de Salud Carlos III; Barcelona Spain
| | - Maria Eduardo Figueira
- Research Institute for Medicines (iMed.ULisboa); Faculty of Pharmacy; Universidade de Lisboa; Lisboa Portugal
| | - Emilie Combet
- Human Nutrition; School of Medicine; Dentistry and Nursing; College of Medical; Veterinary and Life Sciences; University of Glasgow; Glasgow UK
| | - William Mullen
- Institute of Cardiovascular and Medical Sciences; University of Glasgow; Glasgow UK
| | - Maria Rosário Bronze
- iBET; Instituto de Biologia Experimental e Tecnológica; Oeiras Portugal
- Research Institute for Medicines (iMed.ULisboa); Faculty of Pharmacy; Universidade de Lisboa; Lisboa Portugal
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35
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Gao Q, Praticò G, Scalbert A, Vergères G, Kolehmainen M, Manach C, Brennan L, Afman LA, Wishart DS, Andres-Lacueva C, Garcia-Aloy M, Verhagen H, Feskens EJM, Dragsted LO. A scheme for a flexible classification of dietary and health biomarkers. Genes Nutr 2017; 12:34. [PMID: 29255495 PMCID: PMC5728065 DOI: 10.1186/s12263-017-0587-x] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 11/14/2017] [Indexed: 01/05/2023]
Abstract
Biomarkers are an efficient means to examine intakes or exposures and their biological effects and to assess system susceptibility. Aided by novel profiling technologies, the biomarker research field is undergoing rapid development and new putative biomarkers are continuously emerging in the scientific literature. However, the existing concepts for classification of biomarkers in the dietary and health area may be ambiguous, leading to uncertainty about their application. In order to better understand the potential of biomarkers and to communicate their use and application, it is imperative to have a solid scheme for biomarker classification that will provide a well-defined ontology for the field. In this manuscript, we provide an improved scheme for biomarker classification based on their intended use rather than the technology or outcomes (six subclasses are suggested: food compound intake biomarkers (FCIBs), food or food component intake biomarkers (FIBs), dietary pattern biomarkers (DPBs), food compound status biomarkers (FCSBs), effect biomarkers, physiological or health state biomarkers). The application of this scheme is described in detail for the dietary and health area and is compared with previous biomarker classification for this field of research.
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Affiliation(s)
- Qian Gao
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Giulia Praticò
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | - Augustin Scalbert
- Biomarkers Group, Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC), Lyon, France
| | - Guy Vergères
- Agroscope, Federal Office of Agriculture, Berne, Switzerland
| | | | - Claudine Manach
- INRA, Human Nutrition Unit, Université Clermont Auvergne, INRA, F63000 Clermont-Ferrand, France
| | - Lorraine Brennan
- UCD Institute of Food & Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Lydia A. Afman
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
| | - David S. Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, Canada
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, Barcelona, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Barcelona, Spain
| | - Hans Verhagen
- European Food Safety Authority (EFSA), Parma, Italy
- University of Ulster, Coleraine, Northern Ireland UK
| | - Edith J. M. Feskens
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
| | - Lars O. Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
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Garcia-Aloy M, Rabassa M, Casas-Agustench P, Hidalgo-Liberona N, Llorach R, Andres-Lacueva C. Novel strategies for improving dietary exposure assessment: Multiple-data fusion is a more accurate measure than the traditional single-biomarker approach. Trends Food Sci Technol 2017. [DOI: 10.1016/j.tifs.2017.04.013] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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González-Sarrías A, Combet E, Pinto P, Mena P, Dall’Asta M, Garcia-Aloy M, Rodríguez-Mateos A, Gibney ER, Dumont J, Massaro M, Sánchez-Meca J, Morand C, García-Conesa MT. A Systematic Review and Meta-Analysis of the Effects of Flavanol-Containing Tea, Cocoa and Apple Products on Body Composition and Blood Lipids: Exploring the Factors Responsible for Variability in Their Efficacy. Nutrients 2017. [PMCID: PMC5537860 DOI: 10.3390/nu9070746] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Several randomized controlled trials (RCTs) and meta-analyses support the benefits of flavanols on cardiometabolic health, but the factors affecting variability in the responses to these compounds have not been properly assessed. The objectives of this meta-analysis were to systematically collect the RCTs-based-evidence of the effects of flavanol-containing tea, cocoa and apple products on selected biomarkers of cardiometabolic risk and to explore the influence of various factors on the variability in the responses to the consumption of these products. A total of 120 RCTs were selected. Despite a high heterogeneity, the intake of the flavanol-containing products was associated using a random model with changes (reported as standardized difference in means (SDM)) in body mass index (−0.15, p < 0.001), waist circumference (−0.29, p < 0.001), total-cholesterol (−0.21, p < 0.001), LDL-cholesterol (−0.23, p < 0.001), and triacylglycerides (−0.11, p = 0.027), and with an increase of HDL-cholesterol (0.15, p = 0.005). Through subgroup analyses, we showed the influence of baseline-BMI, sex, source/form of administration, medication and country of investigation on some of the outcome measures and suggest that flavanols may be more effective in specific subgroups such as those with a BMI ≥ 25.0 kg/m2, non-medicated individuals or by specifically using tea products. This meta-analysis provides the first robust evidence of the effects induced by the consumption of flavanol-containing tea, cocoa and apple products on weight and lipid biomarkers and shows the influence of various factors that can affect their bioefficacy in humans. Of note, some of these effects are quantitatively comparable to those produced by drugs, life-style changes or other natural products. Further, RCTs in well-characterized populations are required to fully comprehend the factors affecting inter-individual responses to flavanol and thereby improve flavanols efficacy in the prevention of cardiometabolic disorders.
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Affiliation(s)
- Antonio González-Sarrías
- Research Group on Quality, Safety and Bioactivity of Plant Foods, Campus de Espinardo, Centro de Edafologia y Biologia Aplicada del Segura-Consejo Superior de Investigaciones Científicas (CEBAS-CSIC), P.O. Box 164, 30100 Murcia, Spain
- Correspondence: (A.G.-S.); (M.-T.G.-C.); Tel.: +34-968-396276 (A.G.-S. & M.-T.G.-C.); Fax: +34-968-396213(A.G.-S. & M.-T.G.-C.)
| | - Emilie Combet
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G31 2ER, UK;
| | - Paula Pinto
- Polytechnic Institute of Santarem, Escola Superior Agrária (ESA), Department of Food Technology, Biotechnology and Nutrition, 2001-904 Santarém, Portugal;
| | - Pedro Mena
- Human Nutrition Unit, Department of Food & Drug, University of Parma, 43125 Parma, Italy; (P.M.); (M.D.)
| | - Margherita Dall’Asta
- Human Nutrition Unit, Department of Food & Drug, University of Parma, 43125 Parma, Italy; (P.M.); (M.D.)
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, University of Barcelona, 08028 Barcelona, Spain;
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain
| | - Ana Rodríguez-Mateos
- Division of Diabetes and Nutritional Sciences, King’s College London, London SE1 9NH, UK;
| | - Eileen R. Gibney
- Institute of Food and Health, School of Agriculture and Food Science, University College Dublin (UCD), Belfield, Dublin 4, Ireland;
| | - Julie Dumont
- U1167-RID-AGE-Facteurs de risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, University Lille, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire (CHU) Lille, Institut Pasteur de Lille, F-59000 Lille, France;
| | - Marika Massaro
- National Research Council (CNR), Institute of Clinical Physiology, 73100 Lecce, Italy;
| | - Julio Sánchez-Meca
- Department of Basic Psychology & Methodology, Faculty of Psychology, University of Murcia, 30100 Murcia, Spain;
| | - Christine Morand
- Institut National de la Recherche Agronomique (INRA), Human Nutrition Unit, Université Clermont Auvergne (UCA), Centre de Recherches en Nutrition Humaine (CRNH) Auvergne, F-63000 Clermont-Ferrand, France;
| | - María-Teresa García-Conesa
- Research Group on Quality, Safety and Bioactivity of Plant Foods, Campus de Espinardo, Centro de Edafologia y Biologia Aplicada del Segura-Consejo Superior de Investigaciones Científicas (CEBAS-CSIC), P.O. Box 164, 30100 Murcia, Spain
- Correspondence: (A.G.-S.); (M.-T.G.-C.); Tel.: +34-968-396276 (A.G.-S. & M.-T.G.-C.); Fax: +34-968-396213(A.G.-S. & M.-T.G.-C.)
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Almanza-Aguilera E, Urpi-Sarda M, Llorach R, Vázquez-Fresno R, Garcia-Aloy M, Carmona F, Sanchez A, Madrid-Gambin F, Estruch R, Corella D, Andres-Lacueva C. Microbial metabolites are associated with a high adherence to a Mediterranean dietary pattern using a 1H-NMR-based untargeted metabolomics approach. J Nutr Biochem 2017; 48:36-43. [PMID: 28692847 DOI: 10.1016/j.jnutbio.2017.06.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 05/09/2017] [Accepted: 06/01/2017] [Indexed: 11/18/2022]
Abstract
The study of biomarkers of dietary patterns including the Mediterranean diet (MedDiet) is scarce and could improve the assessment of these patterns. Moreover, it could provide a better understanding of health benefits of dietary patterns in nutritional epidemiology. We aimed to determine a robust and accurate biomarker associated with a high adherence to a MedDiet pattern that included dietary assessment and its biological effect. In this cross-sectional study, we included 56 and 63 individuals with high (H-MDA) and low (L-MDA) MedDiet adherence categories, respectively, all from the Prevención con Dieta Mediterránea trial. A 1H-NMR-based untargeted metabolomics approach was applied to urine samples. Multivariate statistical analyses were conducted to determine the metabolite differences between groups. A stepwise logistic regression and receiver operating characteristic curves were used to build and evaluate the prediction model for H-MDA. Thirty-four metabolites were identified as discriminant between H-MDA and L-MDA. The fingerprint associated with H-MDA included higher excretion of proline betaine and phenylacetylglutamine, among others, and decreased amounts of metabolites related to glucose metabolism. Three microbial metabolites - phenylacetylglutamine, p-cresol and 4-hydroxyphenylacetate - were included in the prediction model of H-MDA (95% specificity, 95% sensitivity and 97% area under the curve). The model composed of microbial metabolites was the biomarker that defined high adherence to a Mediterranean dietary pattern. The overall metabolite profiling identified reflects the metabolic modulation produced by H-MDA. The proposed biomarker may be a better tool for assessing and aiding nutritional epidemiology in future associations between H-MDA and the prevention or amelioration of chronic diseases.
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Affiliation(s)
- Enrique Almanza-Aguilera
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
| | - Mireia Urpi-Sarda
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain.
| | - Rafael Llorach
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain
| | - Rosa Vázquez-Fresno
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain
| | - Francesc Carmona
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain
| | - Alex Sanchez
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain; Statistics and Bioinformatics Unit. Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Francisco Madrid-Gambin
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid 28028, Spain; Department of Internal Medicine, Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, 08036, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid 28028, Spain; Department of Preventive Medicine, University of Valencia, Valencia 46010, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28028, Spain.
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Madrid-Gambin F, Llorach R, Vázquez-Fresno R, Urpi-Sarda M, Almanza-Aguilera E, Garcia-Aloy M, Estruch R, Corella D, Andres-Lacueva C. Urinary 1H Nuclear Magnetic Resonance Metabolomic Fingerprinting Reveals Biomarkers of Pulse Consumption Related to Energy-Metabolism Modulation in a Subcohort from the PREDIMED study. J Proteome Res 2017; 16:1483-1491. [DOI: 10.1021/acs.jproteome.6b00860] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Francisco Madrid-Gambin
- Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
| | - Rafael Llorach
- Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
- CIBER Fragilidad y Envejecimiento Saludable
(CIBERFES), Instituto de Salud Carlos III, Barcelona 08028, Spain
| | - Rosa Vázquez-Fresno
- Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
- Department of Biological Sciences and Department
of Computing Science, University of Alberta, Edmonton AB T6G 2E9, Canada
| | - Mireia Urpi-Sarda
- Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
- CIBER Fragilidad y Envejecimiento Saludable
(CIBERFES), Instituto de Salud Carlos III, Barcelona 08028, Spain
| | - Enrique Almanza-Aguilera
- Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
- CIBER Fragilidad y Envejecimiento Saludable
(CIBERFES), Instituto de Salud Carlos III, Barcelona 08028, Spain
| | - Ramon Estruch
- Department of Internal Medicine, Hospital
Clinic, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona 08036, Spain
- CIBER OBN, The Spanish Biomedical Research Centre in
Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid 28029, Spain
| | - Dolores Corella
- CIBER OBN, The Spanish Biomedical Research Centre in
Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid 28029, Spain
- Department
of Preventive Medicine and Public Health, University of Valencia, Valencia 46010, Spain
| | - Cristina Andres-Lacueva
- Biomarkers & Nutrimetabolomics Laboratory, Nutrition, Food Science and Gastronomy Department, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy and Food Science, University of Barcelona, Barcelona 08028, Spain
- CIBER Fragilidad y Envejecimiento Saludable
(CIBERFES), Instituto de Salud Carlos III, Barcelona 08028, Spain
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Menezes R, Rodriguez-Mateos A, Kaltsatou A, González-Sarrías A, Greyling A, Giannaki C, Andres-Lacueva C, Milenkovic D, Gibney ER, Dumont J, Schär M, Garcia-Aloy M, Palma-Duran SA, Ruskovska T, Maksimova V, Combet E, Pinto P. Impact of Flavonols on Cardiometabolic Biomarkers: A Meta-Analysis of Randomized Controlled Human Trials to Explore the Role of Inter-Individual Variability. Nutrients 2017; 9:E117. [PMID: 28208791 PMCID: PMC5331548 DOI: 10.3390/nu9020117] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 02/03/2017] [Indexed: 02/05/2023] Open
Abstract
Several epidemiological studies have linked flavonols with decreased risk of cardiovascular disease (CVD). However, some heterogeneity in the individual physiological responses to the consumption of these compounds has been identified. This meta-analysis aimed to study the effect of flavonol supplementation on biomarkers of CVD risk such as, blood lipids, blood pressure and plasma glucose, as well as factors affecting their inter-individual variability. Data from 18 human randomized controlled trials were pooled and the effect was estimated using fixed or random effects meta-analysis model and reported as difference in means (DM). Variability in the response of blood lipids to supplementation with flavonols was assessed by stratifying various population subgroups: age, sex, country, and health status. Results showed significant reductions in total cholesterol (DM = -0.10 mmol/L; 95% CI: -0.20, -0.01), LDL cholesterol (DM = -0.14 mmol/L; Nutrients 2017, 9, 117 2 of 21 95% CI: -0.21, 0.07), and triacylglycerol (DM = -0.10 mmol/L; 95% CI: -0.18, 0.03), and a significant increase in HDL cholesterol (DM = 0.05 mmol/L; 95% CI: 0.02, 0.07). A significant reduction was also observed in fasting plasma glucose (DM = -0.18 mmol/L; 95%CI: -0.29, -0.08), and in blood pressure (SBP: DM = -4.84 mmHg; 95% CI: -5.64, -4.04; DBP: DM = -3.32 mmHg; 95% CI: -4.09, -2.55). Subgroup analysis showed a more pronounced effect of flavonol intake in participants from Asian countries and in participants with diagnosed disease or dyslipidemia, compared to healthy and normal baseline values. In conclusion, flavonol consumption improved biomarkers of CVD risk, however, country of origin and health status may influence the effect of flavonol intake on blood lipid levels.
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Affiliation(s)
- Regina Menezes
- iBET/ITQB, Molecular Nutrition & Health Laboratory, 2780-157 Oeiras, Portugal;
| | - Ana Rodriguez-Mateos
- Division of Diabetes and Nutritional Sciences, Faculty of Life Sciences and Medicine, King’s College London, London SE1 9NH, UK;
| | - Antonia Kaltsatou
- FAME Laboratory, School of Exercise Science, University of Thessaly, 42100 Volos, Greece;
| | | | | | | | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain; (C.A.-L.); (M.G.-A.)
| | - Dragan Milenkovic
- INRA, UMR 1019, UNH, CRNH Auvergne, F-63000 Clermont-Ferrand, Clermont Université, Université d’Auvergne, Unité de Nutrition Humaine, BP 10448, F-63000 Clermont-Ferrand, France;
| | | | - Julie Dumont
- Université Lille, INSERM, Institut Pasteur de Lille, U1167—RID-AGE—Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, F-59000 Lille, France;
| | - Manuel Schär
- Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6AP, UK;
| | - Mar Garcia-Aloy
- Biomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain; (C.A.-L.); (M.G.-A.)
| | | | | | | | - Emilie Combet
- Human Nutrition, University of Glasgow, Glasgow G31 2ER, UK; (S.A.P.-D.); (E.C.)
| | - Paula Pinto
- iBET/ITQB, Molecular Nutrition & Health Laboratory, 2780-157 Oeiras, Portugal;
- Polytechnic Institute of Santarem, ESA, Department of Food Technology, Biotechnology and Nutrition, 2001-904 Santarém, Portugal
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Mora-Cubillos X, Tulipani S, Garcia-Aloy M, Bulló M, Tinahones FJ, Andres-Lacueva C. Plasma metabolomic biomarkers of mixed nuts exposure inversely correlate with severity of metabolic syndrome. Mol Nutr Food Res 2015; 59:2480-90. [DOI: 10.1002/mnfr.201500549] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 09/08/2015] [Accepted: 09/10/2015] [Indexed: 01/30/2023]
Affiliation(s)
- Ximena Mora-Cubillos
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
| | - Sara Tulipani
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
- Biomedical Research Institute (IBIMA); Service of Endocrinology and Nutrition; Málaga Hospital Complex (Virgen de la Victoria), Campus de Teatinos s/n; University of Málaga; Málaga Spain
| | - Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
| | - Mònica Bulló
- Human Nutrition Unit; Faculty of Medicine and Health Sciences; IISPV; Universitat Rovira i Virgili; Reus Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III (ISCIII); Madrid Spain
| | - Francisco J Tinahones
- Biomedical Research Institute (IBIMA); Service of Endocrinology and Nutrition; Málaga Hospital Complex (Virgen de la Victoria), Campus de Teatinos s/n; University of Málaga; Málaga Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn); Instituto de Salud Carlos III (ISCIII); Madrid Spain
| | - Cristina Andres-Lacueva
- Biomarkers & Nutrimetabolomic Lab; Department of Nutrition and Food Science, XaRTA, INSA, Campus Torribera, Faculty of Pharmacy; University of Barcelona; Barcelona Spain
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Garcia-Aloy M, Llorach R, Urpi-Sarda M, Jáuregui O, Corella D, Ruiz-Canela M, Salas-Salvadó J, Fitó M, Ros E, Estruch R, Andres-Lacueva C. A metabolomics-driven approach to predict cocoa product consumption by designing a multimetabolite biomarker model in free-living subjects from the PREDIMED study. Mol Nutr Food Res 2014; 59:212-20. [PMID: 25298021 DOI: 10.1002/mnfr.201400434] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Revised: 09/27/2014] [Accepted: 09/30/2014] [Indexed: 01/05/2023]
Abstract
SCOPE The aim of the current study was to apply an untargeted metabolomics strategy to characterize a model of cocoa intake biomarkers in a free-living population. METHODS AND RESULTS An untargeted HPLC-q-ToF-MS based metabolomics approach was applied to human urine from 32 consumers of cocoa or derived products (CC) and 32 matched control subjects with no consumption of cocoa products (NC). The multivariate statistical analysis (OSC-PLS-DA) showed clear differences between CC and NC groups. The discriminant biomarkers identified were mainly related to the metabolic pathways of theobromine and polyphenols, as well as to cocoa processing. Consumption of cocoa products was also associated with reduced urinary excretions of methylglutarylcarnitine, which could be related to effects of cocoa exposure on insulin resistance. To improve the prediction of cocoa consumption, a combined urinary metabolite model was constructed. ROC curves were performed to evaluate the model and individual metabolites. The AUC values (95% CI) for the model were 95.7% (89.8-100%) and 92.6% (81.9-100%) in training and validation sets, respectively, whereas the AUCs for individual metabolites were <90%. CONCLUSIONS The metabolic signature of cocoa consumption in free-living subjects reveals that combining different metabolites as biomarker models improves prediction of dietary exposure to cocoa.
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Affiliation(s)
- Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomic Lab, Nutrition and Food Science Department, XaRTA, INSA, Campus Torribera, Pharmacy Faculty, University of Barcelona, Spain**; INGENIO-CONSOLIDER Program, Fun-C-Food CSD2007-063, Spain
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Fernández-Albert F, Llorach R, Garcia-Aloy M, Ziyatdinov A, Andres-Lacueva C, Perera A. Intensity drift removal in LC/MS metabolomics by common variance compensation. Bioinformatics 2014; 30:2899-905. [DOI: 10.1093/bioinformatics/btu423] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Garcia-Aloy M, Llorach R, Urpi-Sarda M, Tulipani S, Estruch R, Martínez-González MA, Corella D, Fitó M, Ros E, Salas-Salvadó J, Andres-Lacueva C. Novel multimetabolite prediction of walnut consumption by a urinary biomarker model in a free-living population: the PREDIMED study. J Proteome Res 2014; 13:3476-83. [PMID: 24882253 DOI: 10.1021/pr500425r] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
The beneficial impact of walnuts on human health has been attributed to their unique chemical composition. In order to characterize the dietary walnut fingerprinting, spot urine samples from two sets of 195 (training) and 186 (validation) individuals were analyzed by an HPLC-q-ToF-MS untargeted metabolomics approach, selecting the most discriminating metabolites by multivariate data analysis (VIP ≥ 1.5). Stepwise logistic regression analysis was used to design a multimetabolite prediction biomarker model. The global performance of the model and each included metabolite in it was evaluated by receiver operating characteristic curves, using the area under the curve (AUC) values. Dietary exposure to walnuts was characterized by 18 metabolites, including markers of fatty acid metabolism, ellagitannin-derived microbial compounds, and intermediate metabolites of the tryptophan/serotonin pathway. The predictive model of walnut exposure included at least one compound of each class. The AUC (95% CI) for the combined biomarker model was 93.4% (90.1-96.8%) in the training set and 90.2% (85.9-94.6%) in the validation set. The AUCs for individual metabolites were ≤85%. As far as we know, this is the first study proposing a combination of biomarkers of walnut exposure in a population under free-living conditions, as considered in epidemiological studies examining associations between diet and health outcomes.
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Affiliation(s)
- Mar Garcia-Aloy
- Biomarkers & Nutrimetabolomic Lab, Nutrition and Food Science Department, XaRTA, INSA, Campus Torribera, Pharmacy Faculty , University of Barcelona , Barcelona 08028, Spain
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Llorach R, Urpi-Sarda M, Tulipani S, Garcia-Aloy M, Monagas M, Andres-Lacueva C. Metabolomic fingerprint in patients at high risk of cardiovascular disease by cocoa intervention. Mol Nutr Food Res 2013; 57:962-73. [PMID: 23637065 DOI: 10.1002/mnfr.201200736] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Revised: 03/01/2013] [Accepted: 03/15/2013] [Indexed: 02/05/2023]
Abstract
SCOPE Metabolomics approach is focused on identifying all metabolites present in a biological sample (metabolome). Consumption of cocoa products has been related to health benefits including positive effect on cardiovascular health. METHODS AND RESULTS Twenty volunteers were included in this randomized, crossover, and controlled clinical trial. After a 2-wk washout period, subjects received 40 g/day of cocoa powder with 500 mL skimmed milk (cocoa with skimmed milk intervention) or 500 mL/day of skimmed milk (skimmed milk intervention) for 4-wk. Urine (24 h) samples were collected at baseline and after each intervention and were analyzed by HPLC-hybrid quadrupole TOF in negative and positive ionization modes followed by multivariate analysis. This analysis revealed a marked separation between the cocoa with skimmed milk intervention and skimmed milk intervention and baseline periods. Thirty-nine compounds linked with cocoa intake, including alkaloid metabolites, polyphenol host and gut microbial metabolites (hydroxyphenylvalerolactones and hydroxyphenylvaleric acids), diketopiperazines and N-phenylpropenoyl-l-amino acids were identified. In the case of endogenous metabolites, putative identifications suggested that metabolites linked with carnitine metabolism and sulfation of tyrosine were decreased by the consumption of cocoa. CONCLUSION LC-MS metabolomics strategy allows the defining of a complex metabolic profile derived from cocoa phytochemicals. Likewise, the identification of endogenous markers could lead to new hypotheses to unravel the relationship between cocoa intake and cardiovascular diseases.
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Affiliation(s)
- Rafael Llorach
- Department of Nutrition and Food Science, XaRTA, INSA, Faculty of Pharmacy, University of Barcelona, Barcelona, Spain
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Llorach R, Garcia-Aloy M, Tulipani S, Vazquez-Fresno R, Andres-Lacueva C. Nutrimetabolomic strategies to develop new biomarkers of intake and health effects. J Agric Food Chem 2012; 60:8797-8808. [PMID: 22594919 DOI: 10.1021/jf301142b] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Correctly assessing the metabolic status of subjects after consumption of specific diets is an important challenge for modern nutrition. Recently, metabolomics has been proposed as a powerful tool for exploring the complex relationship between nutrition and health. Nutritional metabolomics, through investigating the role that dietary components play in the maintenance of health and development of risk disease, aims to identify new biomarkers that allow the intake of these compounds to be monitored and related to their expected biological effects. This review offers an overview of the application of nutrimetabolomic strategies in the discovery of new biomarkers in human nutritional research, suggesting three main categories: (1) assessment of nutritional and dietary interventions; (2) diet exposure and food consumption monitoring; and (3) health phenotype and metabolic impact of diet. For this purpose, several examples of these applications will be used to provide evidence and to discuss the advantages and drawbacks of these nutrimetabolomic strategies.
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Affiliation(s)
- Rafael Llorach
- Nutrition and Food Science Department, XaRTA, INSA, Pharmacy Faculty, University of Barcelona , Avinguda Joan XXIII s/n, 08028 Barcelona, Spain
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Bulló M, Garcia-Aloy M, Basora J, Covas MI, Salas-Salvado J. Bone quantitative ultrasound measurements in relation to the metabolic syndrome and type 2 diabetes mellitus in a cohort of elderly subjects at high risk of cardiovascular disease from the PREDIMED study. J Nutr Health Aging 2011; 15:939-44. [PMID: 22159786 DOI: 10.1007/s12603-011-0046-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The aim of this study is to determine whether metabolic syndrome, its individual components, or the presence of type 2 diabetes mellitus are associated with a better bone status estimated by quantitative ultrasound at the calcaneus. DESIGN Cross-sectional study. SETTING Outpatient clinics. PARTICIPANTS 251 elderly subjects at high cardiovascular risk from the PREDIMED study were included. MEASUREMENTS MetS was defined according to the ATPIII diagnosis criteria. Calcaneus quantitative ultrasound (QUS) assessment was performed using the Sahara system. RESULTS Subjects with MetS showed significantly lower 24-hour urinary deoxypyridinoline/creatinine (u-DPD/creatinine) levels and higher broadband ultrasound attenuation, and a tendency to higher bone mineral density (BMD) and quantitative ultrasound index (QUI) than their counterparts. Individuals with type 2 diabetes mellitus (T2DM) showed a significantly higher bone broadband ultrasound attenuation (BUA) and QUI than their non-diabetic counterparts, despite they shown a higher prevalence of osteoporotic fractures. Multiple linear regression analyses showed that quantitative ultrasound parameters were positively associated with the metabolic syndrome and T2DM. Of the bone biochemical markers, only u-DPD/creatinine was related to MetS, abdominal obesity, hypertriglyceridemia component of the MetS, and the number of features that define the MetS. CONCLUSION This is the first study showing a positive association between MetS or T2DM with better bone status and lower bone resorption markers measured by quantitative ultrasound. Our results suggest that metabolic abnormalities have a positive effect on healthy bone in elderly subjects at high risk of cardiovascular disease.
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Affiliation(s)
- M Bulló
- Human Nutrition Unit, Facultat de Medicina i Ciències de la Salut, IISPV, Universitat Rovira i Virgili, Reus, Spain
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Tulipani S, Llorach R, Jáuregui O, López-Uriarte P, Garcia-Aloy M, Bullo M, Salas-Salvadó J, Andrés-Lacueva C. Metabolomics unveils urinary changes in subjects with metabolic syndrome following 12-week nut consumption. J Proteome Res 2011; 10:5047-58. [PMID: 21905751 DOI: 10.1021/pr200514h] [Citation(s) in RCA: 87] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Through an HPLC-Q-TOF-MS-driven nontargeted metabolomics approach, we aimed to discriminate changes in the urinary metabolome of subjects with metabolic syndrome (MetS), following 12 weeks of mixed nuts consumption (30 g/day), compared to sex- and age-matched individuals given a control diet. The urinary metabolome corresponding to the nut-enriched diet clearly clustered in a distinct group, and the multivariate data analysis discriminated relevant mass features in this separation. Metabolites corresponding to the discriminating ions (MS features) were then subjected to multiple tandem mass spectrometry experiments using LC-ITD-FT-MS, to confirm their putative identification. The metabolomics approach revealed 20 potential markers of nut intake, including fatty acid conjugated metabolites, phase II and microbial-derived phenolic metabolites, and serotonin metabolites. An increased excretion of serotonin metabolites was associated for the first time with nut consumption. Additionally, the detection of urinary markers of gut microbial and phase II metabolism of nut polyphenols confirmed the understanding of their bioavailability and bioactivity as a priority area of research in the determination of the health effects derived from nut consumption. The results confirmed how a nontargeted metabolomics strategy may help to access unexplored metabolic pathways impacted by diet, thereby raising prospects for new intervention targets.
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Affiliation(s)
- Sara Tulipani
- Department of Nutrition and Food Science, University of Barcelona , Barcelona, Spain
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Bulló M, Garcia-Aloy M, Martínez-González MA, Corella D, Fernández-Ballart JD, Fiol M, Gómez-Gracia E, Estruch R, Ortega-Calvo M, Francisco S, Flores-Mateo G, Serra-Majem L, Pintó X, Covas MI, Ros E, Lamuela-Raventós R, Salas-Salvadó J. Association between a healthy lifestyle and general obesity and abdominal obesity in an elderly population at high cardiovascular risk. Prev Med 2011; 53:155-61. [PMID: 21708186 DOI: 10.1016/j.ypmed.2011.06.008] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2011] [Accepted: 06/13/2011] [Indexed: 02/02/2023]
Abstract
BACKGROUND Diet, smoking and physical activity are important modifiable lifestyle factors that can influence body weight and fat accumulation. We assessed the relationship between lifestyle and obesity risk in a baseline analysis of the PREDIMED study, a randomized dietary primary prevention trial conducted in Spain. METHODS 7000 subjects at high cardiovascular risk were assessed cross-sectionally. A healthy lifestyle pattern (HLP) was determined using a score including: adherence to the Mediterranean diet, moderate alcohol consumption, expending ≥200 kcal/day in leisure-time physical activity, and non-smoking. RESULTS Inverse linear trends were observed between the HLP-score and body-mass-index (BMI) or waist circumference (p<0.001). The BMI and waist circumference of participants with a HLP-score=4 were, respectively, 1.3 kg/m(2) (95% CI: 0.9 to 1.7) and 4.3 cm (3.1 to 5.4) lower than those of subjects with an HLP≤1. The odds ratios of general obesity and abdominal obesity for an HLP score of 4 compared to an HPL score≤1 were 0.50 (0.42 to 0.60) and 0.51 (0.41 to 0.62), respectively. CONCLUSION A combination of four healthy lifestyle behaviors was associated with a lower prevalence of general obesity and abdominal obesity in Mediterranean elderly subjects at high cardiovascular risk.
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Affiliation(s)
- Mònica Bulló
- Human Nutrition Unit, Hospital Universitari de Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, Reus, Spain
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