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An NMR-based metabolomics study of pork from different crossbreeds and relation to sensory perception. Meat Sci 2013; 96:719-28. [PMID: 24200563 DOI: 10.1016/j.meatsci.2013.10.006] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Revised: 09/24/2013] [Accepted: 10/04/2013] [Indexed: 12/18/2022]
Abstract
Meat extracts from five different pig crossbreeds including Duroc/Landrace/Yorkshire (DLY), Iberian/Duroc (ID), Iberian/Duroc/Landrace (ILY), Mangalitza/Duroc (MD), and Mangalitza/Landrace/Yorkshire (MLY) were analysed by nuclear magnetic resonance (NMR)-based metabolomics. The results were compared with technological traits and sensory analyses in order to elucidate the potential of NMR-based metabolomics to highlight meat metabolites of importance for technological and sensory attributes of meat. Amino acids including alanine, carnosine, isoleucine, methionine, phenylalanine, and valine, as well as lactate, inosine monophosphate (IMP), inosine, glycerol and choline-containing compounds were found to be significantly affected by crossbreed. The breed-specific differences in the metabolome were ascribed to differences in ante mortem metabolism, differences in the membrane properties and glycolytic potential of muscle fibres and differences in lipolysis and proteolysis. A high content of carnosine in the meat was associated with a low value of many sensory attributes related to meat flavor/taste, while IMP and inosine were in general not correlated with sensory attributes related to meat flavor/taste.
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52
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He X, Marco ML, Slupsky CM. Emerging aspects of food and nutrition on gut microbiota. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2013; 61:9559-9574. [PMID: 24028159 DOI: 10.1021/jf4029046] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
The human gastrointestinal tract contains a highly complex ecosystem that harbors various microorganisms, which together create a unique environment within each individual. There is growing awareness that dietary habits are one of the essential factors contributing to the microbial diversity and community configuration that ultimately affects human health. From an evolutionary perspective, human dietary history can be viewed as a central factor in the selection of the gut microbial community and stabilization of the mutualistic host-microbial interaction, that together drive host phenotype. Herein, current knowledge concerning the influence of major dietary macrostructure and individual food ingredients is presented. This knowledge will provide perspectives for personalized gut microbiota management and, ultimately, movement toward an era of personalized nutrition and medicine.
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Affiliation(s)
- Xuan He
- Department of Nutrition and ‡Department of Food Science and Technology, University of California , Davis, California 95616, United States
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53
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Ismail NA, Posma JM, Frost G, Holmes E, Garcia-Perez I. The role of metabonomics as a tool for augmenting nutritional information in epidemiological studies. Electrophoresis 2013; 34:2776-86. [PMID: 23893902 DOI: 10.1002/elps.201300066] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Revised: 07/04/2013] [Accepted: 07/12/2013] [Indexed: 11/07/2022]
Abstract
Most chronic diseases have been demonstrated to have a link to nutrition. Within food and nutritional research there is a major driver to understand the relationship between diet and disease in order to improve health of individuals. However, the lack of accurate dietary intake assessment in free-living populations, makes accurate estimation of how diet is associated with disease risk difficulty. Thus, there is a pressing need to find solutions to the inaccuracy of dietary reporting. Metabolic profiling of urine or plasma can provide an unbiased approach to characterizing dietary intake and various high-throughput analytical platforms have been used in order to implement targeted and nontargeted assays in nutritional clinical trials and nutritional epidemiology studies. This review describes first the challenges presented in interpreting the relationship between diet and health within individual and epidemiological frameworks. Second, we aim to explore how metabonomics can benefit different types of nutritional studies and discuss the critical importance of selecting appropriate analytical techniques in these studies. Third, we propose a strategy capable of providing accurate assessment of food intake within an epidemiological framework in order establish accurate associations between diet and health.
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Affiliation(s)
- Nurhafzan A Ismail
- Division of Endocrinology and Metabolism, Nutrition and Dietetic Research Group, Imperial College London, London, United Kingdom
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54
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Lan K, Xie G, Jia W. Towards polypharmacokinetics: pharmacokinetics of multicomponent drugs and herbal medicines using a metabolomics approach. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2013; 2013:819147. [PMID: 23573155 PMCID: PMC3612473 DOI: 10.1155/2013/819147] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2012] [Accepted: 01/29/2013] [Indexed: 12/14/2022]
Abstract
Determination of pharmacokinetics (PKs) of multicomponent pharmaceuticals and/or nutraceuticals (polypharmacokinetics, poly-PKs) is difficult due to the vast number of compounds present in natural products, their various concentrations across a wide range, complexity of their interactions, as well as their complex degradation dynamics in vivo. Metabolomics coupled with multivariate statistical tools that focus on the comprehensive analysis of small molecules in biofluids is a viable approach to address the challenges of poly-PK. This paper discusses recent advances in the characterization of poly-PK and the metabolism of multicomponent xenobiotic agents, such as compound drugs, dietary supplements, and herbal medicines, using metabolomics strategy. We propose a research framework that integrates the dynamic concentration profile of bioavailable xenobiotic molecules that result from in vivo absorption and hepatic and gut bacterial metabolism, as well as the human metabolic response profile. This framework will address the bottleneck problem in the pharmacological evaluation of multicomponent pharmaceuticals and nutraceuticals, leading to the direct elucidation of the pharmacological and molecular mechanisms of these compounds.
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Affiliation(s)
- Ke Lan
- Key laboratory of Drug Targeting and Drug Delivery System of the Education Ministry, West China School of Pharmacy, Sichuan University, Chengdu 610041, China
| | - Guoxiang Xie
- Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28081, USA
| | - Wei Jia
- Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC 28081, USA
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55
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Boeing H. Nutritional epidemiology: New perspectives for understanding the diet-disease relationship? Eur J Clin Nutr 2013; 67:424-9. [PMID: 23443832 DOI: 10.1038/ejcn.2013.47] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Nutritional epidemiology is a subdiscipline of epidemiology and provides specific knowledge to nutritional science. It provides data about the diet-disease relationships that is transformed by Public Health Nutrition into the practise of prevention. The specific contributions of nutritional epidemiology include dietary assessment, description of nutritional exposure and statistical modelling of the diet-disease relationship. In all these areas, substantial progress has been made over the last years and is described in this article. Dietary assessment is moving away from the food frequency questionnaire (FFQ) as main dietary assessment instrument in large-scale epidemiological studies towards the use of short-term quantitative instruments due to the potential of gross measurement errors. Web-based instruments for self-administration are therefore evaluated of being able to replace the costly interviewer conducted 24-h-recalls. Much interest is also directed towards the technique of taking and analysing photographs of all meals ingested, which might improve the dietary assessment in terms of precision. The description of nutritional exposure could greatly benefit from standardisation of the coding of foods across studies in order to improve comparability. For the investigations of bioactive substances as reflecting nutritional intake and status, the investigation of concentration measurements in body fluids as potential biomarkers will benefit from the new high-throughput technologies of mass spectrometry. Statistical modelling of the dietary data and the diet-disease relationships can refer to complex programmes that convert quantitative short-term measurements into habitual intakes of individuals and correct for the errors in the estimates of the diet-disease relationships by taking data from validation studies with biomarkers into account. For dietary data, substitution modelling should be preferred over simple adding modelling. More attention should also be put on the investigation of non-linear relationships. The increasing complexity of the conduct and analysis of nutritional epidemiological studies is calling for a distinct and advanced training programme for the young scientists moving into this area. This will also guarantee that in the future an increasing number of high-level manuscripts will show up in this and other journals in respect of nutritional epidemiological topics.
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Affiliation(s)
- H Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
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56
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Bondia-Pons I, Barri T, Hanhineva K, Juntunen K, Dragsted LO, Mykkänen H, Poutanen K. UPLC-QTOF/MS metabolic profiling unveils urinary changes in humans after a whole grain rye versus refined wheat bread intervention. Mol Nutr Food Res 2013; 57:412-22. [DOI: 10.1002/mnfr.201200571] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2012] [Revised: 11/05/2012] [Accepted: 11/18/2012] [Indexed: 01/13/2023]
Affiliation(s)
- Isabel Bondia-Pons
- Institute of Public Health and Clinical Nutrition; Clinical Nutrition; Food and Health Research Centre; University of Eastern Finland; Kuopio Campus; Kuopio Finland
- VTT Technical Research Centre of Finland; Tietotie Espoo Finland
| | - Thaer Barri
- Institute of Human Nutrition; Exercise and Sports; Faculty of Life Sciences; University of Copenhagen; Frederiksberg; Copenhagen Denmark
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition; Clinical Nutrition; Food and Health Research Centre; University of Eastern Finland; Kuopio Campus; Kuopio Finland
| | - Katri Juntunen
- Health Care Unit; City of Kuopio Health Care Services; Suokatu Kuopio Finland
| | - Lars O. Dragsted
- Institute of Human Nutrition; Exercise and Sports; Faculty of Life Sciences; University of Copenhagen; Frederiksberg; Copenhagen Denmark
| | - Hannu Mykkänen
- Institute of Public Health and Clinical Nutrition; Clinical Nutrition; Food and Health Research Centre; University of Eastern Finland; Kuopio Campus; Kuopio Finland
| | - Kaisa Poutanen
- Institute of Public Health and Clinical Nutrition; Clinical Nutrition; Food and Health Research Centre; University of Eastern Finland; Kuopio Campus; Kuopio Finland
- VTT Technical Research Centre of Finland; Tietotie Espoo Finland
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57
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Seiber JN. Looking back while forging ahead... JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2013; 61:1-2. [PMID: 23302016 DOI: 10.1021/jf304878t] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
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58
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Astarita G, Langridge J. An Emerging Role for Metabolomics in Nutrition Science. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2013; 6:181-200. [DOI: 10.1159/000354403] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Accepted: 07/12/2013] [Indexed: 12/15/2022]
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59
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Diaz SO, Barros AS, Goodfellow BJ, Duarte IF, Carreira IM, Galhano E, Pita C, Almeida MDC, Gil AM. Following Healthy Pregnancy by Nuclear Magnetic Resonance (NMR) Metabolic Profiling of Human Urine. J Proteome Res 2012; 12:969-79. [DOI: 10.1021/pr301022e] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Sílvia O. Diaz
- CICECO−Department
of Chemistry, Campus Universitário de Santiago, Universidade de Aveiro, 3810-193 Aveiro, Portugal
| | - António S. Barros
- QOPNA−Department
of Chemistry, Campus Universitário de Santiago, Universidade de Aveiro, 3810-193 Aveiro, Portugal
| | - Brian J. Goodfellow
- CICECO−Department
of Chemistry, Campus Universitário de Santiago, Universidade de Aveiro, 3810-193 Aveiro, Portugal
| | - Iola F. Duarte
- CICECO−Department
of Chemistry, Campus Universitário de Santiago, Universidade de Aveiro, 3810-193 Aveiro, Portugal
| | - Isabel M. Carreira
- Cytogenetics and Genomics Laboratory,
Faculty of Medicine, Universidade de Coimbra, Portugal and CENCIFOR - Forensic Science Centre, Portugal
- CIMAGO−Centro de Investigação Meio Ambiente, Genética e Oncobiologia, 3000 Coimbra, Portugal
| | - Eulália Galhano
- Maternity Bissaya Barreto, Centro Hospitalar de Coimbra, 3000-061 Coimbra, Portugal
| | - Cristina Pita
- Maternity Bissaya Barreto, Centro Hospitalar de Coimbra, 3000-061 Coimbra, Portugal
| | - Maria do Céu Almeida
- Maternity Bissaya Barreto, Centro Hospitalar de Coimbra, 3000-061 Coimbra, Portugal
| | - Ana M. Gil
- CICECO−Department
of Chemistry, Campus Universitário de Santiago, Universidade de Aveiro, 3810-193 Aveiro, Portugal
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60
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Tulipani S, Llorach R, Urpi-Sarda M, Andres-Lacueva C. Comparative analysis of sample preparation methods to handle the complexity of the blood fluid metabolome: when less is more. Anal Chem 2012. [PMID: 23190300 DOI: 10.1021/ac302919t] [Citation(s) in RCA: 103] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Blood sample preparation before LC-MS metabolomic fingerprinting is one of the most challenging and error-prone parts of the analytical procedure. Besides proteins, phospholipids contained in blood fluids are known to cause matrix effects and ion suppression phenomena, thus masking biological variation. Nevertheless, the commonly used sample preparation techniques do not consider their removal prior to analysis. Pooled plasma and serum samples were used as biological material, partly as raw samples and partly spiked with distinct concentrations of a metabolite mix (1-5 μg/mL). Prior to LC-ESI-qToF-MS-driven metabolomic analysis, samples were subjected to different preparation methods consisting of three extractions with organic solvents (acetonitrile, methanol, and methanol/ethanol), a membrane-based solvent-free technique, and a hybrid method combining solvent extraction and SPE-mediated removal of phospholipids. The comparative analysis among sample preparation procedures was based on the capacity to detect endogenous compounds in raw samples, differentiate raw versus spiked samples, and reveal real-life metabolomic changes, following a dietary intervention. Method speed, minimum sample handling, compatibility to automation, and applicability to large-scale metabolomic studies were also considered. The combination of solvent deproteinization and the selective removal of phospholipids was revealed to be the most suitable method, in terms of improvement of nonlipid metabolite coverage, extraction reproducibility, quickness, and compatibility with automation, the minimization of matrix effects being among the most probable causes for the good extraction performance associated with the removal of phospholipid species. The main advantage of conventional solvent extraction procedures was the metabolite information coverage for lipid low-molecular-weight species, and extraction with acetonitrile was generally the second choice for sample preparation. Ultrafiltration was the least effective method for plasma and serum preparation; thus, its use without a previous solvent extraction step of the samples should be discarded. According to the presented data, there is no apparent reason to believe that sacrificing information on lipid compounds is too high of a price to pay in order to gain more information on nonlipid LMW metabolites.
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Affiliation(s)
- Sara Tulipani
- Biomarkers and Nutritional & Food Metabolomics Research Group, Department of Nutrition and Food Science, XaRTA, INSA, Faculty of Pharmacy, University of Barcelona, Spain
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