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Playdon MC, Ziegler RG, Sampson JN, Stolzenberg-Solomon R, Thompson HJ, Irwin ML, Mayne ST, Hoover RN, Moore SC. Nutritional metabolomics and breast cancer risk in a prospective study. Am J Clin Nutr 2017; 106:637-649. [PMID: 28659298 PMCID: PMC5525118 DOI: 10.3945/ajcn.116.150912] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 05/30/2017] [Indexed: 12/16/2022] Open
Abstract
Background: The epidemiologic evidence for associations between dietary factors and breast cancer is weak and etiologic mechanisms are often unclear. Exploring the role of dietary biomarkers with metabolomics can potentially facilitate objective dietary characterization, mitigate errors related to self-reported diet, agnostically test metabolic pathways, and identify mechanistic mediators.Objective: The aim of this study was to evaluate associations of diet-related metabolites with the risk of breast cancer in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.Design: We examined prediagnostic serum concentrations of diet-related metabolites in a nested case-control study in 621 postmenopausal invasive breast cancer cases and 621 matched controls in the multicenter PLCO cohort. We calculated partial Pearson correlations between 617 metabolites and 55 foods, food groups, and vitamin supplements on the basis of the 2015 Dietary Guidelines for Americans and derived from a 137-item self-administered food-frequency questionnaire. Diet-related metabolites (P-correlation < 1.47 × 10-6) were evaluated in breast cancer analyses. ORs for the 90th compared with the 10th percentile were calculated by using conditional logistic regression, with body mass index, physical inactivity, other breast cancer risk factors, and caloric intake controlled for (false discovery rate <0.2).Results: Of 113 diet-related metabolites, 3 were associated with overall breast cancer risk (621 cases): caprate (10:0), a saturated fatty acid (OR: 1.77; 95% CI = 1.28, 2.43); γ-carboxyethyl hydrochroman (γ-CEHC), a vitamin E (γ-tocopherol) derivative (OR: 1.64; 95% CI: 1.18, 2.28); and 4-androsten-3β,17β-diol-monosulfate (1), an androgen (OR: 1.61; 95% CI: 1.20, 2.16). Nineteen metabolites were significantly associated with estrogen receptor (ER)-positive (ER+) breast cancer (418 cases): 12 alcohol-associated metabolites, including 7 androgens and α-hydroxyisovalerate (OR: 2.23; 95% CI: 1.50, 3.32); 3 vitamin E (tocopherol) derivatives (e.g., γ-CEHC; OR: 1.80; 95% CI: 1.20, 2.70); butter-associated caprate (10:0) (OR: 1.81; 95% CI: 1.23, 2.67); and fried food-associated 2-hydroxyoctanoate (OR: 1.46; 95% CI: 1.03, 2.07). No metabolites were significantly associated with ER-negative breast cancer (144 cases).Conclusions: Prediagnostic serum concentrations of metabolites related to alcohol, vitamin E, and animal fats were moderately strongly associated with ER+ breast cancer risk. Our findings show how nutritional metabolomics might identify diet-related exposures that modulate cancer risk. This trial was registered at clinicaltrials.gov as NCT00339495.
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Affiliation(s)
- Mary C Playdon
- Yale School of Public Health, Yale University, New Haven, CT; .,Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | | | - Henry J Thompson
- Cancer Prevention Laboratory, Colorado State University, Fort Collins, CO
| | - Melinda L Irwin
- Yale School of Public Health, Yale University, New Haven, CT;,Yale Cancer Center, New Haven, CT; and
| | - Susan T Mayne
- Yale School of Public Health, Yale University, New Haven, CT;,US Food and Drug Administration, College Park, MD
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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Gibbons H, Michielsen CJR, Rundle M, Frost G, McNulty BA, Nugent AP, Walton J, Flynn A, Gibney MJ, Brennan L. Demonstration of the utility of biomarkers for dietary intake assessment; proline betaine as an example. Mol Nutr Food Res 2017; 61. [DOI: 10.1002/mnfr.201700037] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/08/2017] [Accepted: 05/16/2017] [Indexed: 01/03/2023]
Affiliation(s)
- Helena Gibbons
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Charlotte J. R. Michielsen
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Milena Rundle
- Nutrition and Dietetic Research Group; Division of Endocrinology and Metabolism; Imperial College London; London U.K
| | - Gary Frost
- Nutrition and Dietetic Research Group; Division of Endocrinology and Metabolism; Imperial College London; London U.K
| | - Breige A. McNulty
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Anne P. Nugent
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Janette Walton
- School of Food and Nutritional Sciences; University College Cork; Cork Ireland
| | - Albert Flynn
- School of Food and Nutritional Sciences; University College Cork; Cork Ireland
| | - Michael J. Gibney
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
| | - Lorraine Brennan
- School of Agriculture and Food Science; Institute of Food and Health; University College Dublin; Dublin Ireland
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53
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Rådjursöga M, Karlsson GB, Lindqvist HM, Pedersen A, Persson C, Pinto RC, Ellegård L, Winkvist A. Metabolic profiles from two different breakfast meals characterized by 1H NMR-based metabolomics. Food Chem 2017; 231:267-274. [PMID: 28450006 DOI: 10.1016/j.foodchem.2017.03.142] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 09/29/2016] [Accepted: 03/25/2017] [Indexed: 01/09/2023]
Abstract
It is challenging to measure dietary exposure with techniques that are both accurate and applicable to free-living individuals. We performed a cross-over intervention, with 24 healthy individuals, to capture the acute metabolic response of a cereal breakfast (CB) and an egg and ham breakfast (EHB). Fasting and postprandial urine samples were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy and multivariate data analysis. Metabolic profiles were distinguished in relation to ingestion of either CB or EHB. Phosphocreatine/creatine and citrate were identified at higher concentrations after consumption of EHB. Beverage consumption (i.e., tea or coffee) could clearly be seen in the data. 2-furoylglycine and 5-hydroxymethyl-2-furoic acid - potential biomarkers for coffee consumption were identified at higher concentrations in coffee drinkers. Thus 1H NMR urine metabolomics is applicable in the characterization of acute metabolic fingerprints from meal consumption and in the identification of metabolites that may serve as potential biomarkers.
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Affiliation(s)
- Millie Rådjursöga
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Box 459, 405 30 Gothenburg, Sweden.
| | - Göran B Karlsson
- Swedish NMR Centre, University of Gothenburg, Box 465, 405 30 Gothenburg, Sweden.
| | - Helen M Lindqvist
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Box 459, 405 30 Gothenburg, Sweden.
| | - Anders Pedersen
- Swedish NMR Centre, University of Gothenburg, Box 465, 405 30 Gothenburg, Sweden.
| | - Cecilia Persson
- Swedish NMR Centre, University of Gothenburg, Box 465, 405 30 Gothenburg, Sweden.
| | - Rui Climaco Pinto
- Computational Life Science Cluster, Department of Chemistry, Umeå University, 90187 Umeå, Sweden; Bioinformatics Infrastructure for Life Sciences (BILS), Linköping, Sweden.
| | - Lars Ellegård
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Box 459, 405 30 Gothenburg, Sweden.
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy, University of Gothenburg, Box 459, 405 30 Gothenburg, Sweden.
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54
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O’Gorman A, Gibbons H, Ryan MF, Gibney ER, Gibney MJ, Frost GS, Roche HM, Brennan L. Exploring the Links between Diet and Health in an Irish Cohort: A Lipidomic Approach. J Proteome Res 2017; 16:1280-1287. [DOI: 10.1021/acs.jproteome.6b00912] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Aoife O’Gorman
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Helena Gibbons
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Miriam F. Ryan
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Eileen R. Gibney
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Michael J. Gibney
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Gary S. Frost
- Department
of Medicine, Imperial College London, London SW7 2AZ, United Kingdom
| | - Helen M. Roche
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
- Nutrigenomics
Research Group, UCD Conway Institute of Biomolecular and Biomedical
Research, University College Dublin, Belfield, Dublin 4, Ireland
| | - Lorraine Brennan
- Institute
of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland
- Nutrigenomics
Research Group, UCD Conway Institute of Biomolecular and Biomedical
Research, University College Dublin, Belfield, Dublin 4, Ireland
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55
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Abstract
Traditional methods for the assessment of dietary intake are prone to error; in order to improve and enhance these methods increasing interest in the identification of dietary biomarkers has materialised. Metabolomics has emerged as a key tool in the area of dietary biomarker discovery and to date the use of metabolomics has identified a number of putative biomarkers. Applications to identify novel biomarkers of intake have in general taken three approaches: (1) specific acute intervention studies to identify specific biomarkers of intake; (2) searching for biomarkers in cohort studies by correlating to self-reported intake of a specific food/food group(s); (3) analysing dietary patterns in conjunction with metabolomic profiles to identify biomarkers and nutritypes. A number of analytical technologies are employed in metabolomics as currently there is no single technique capable of measuring the entire metabolome. These approaches each have their own advantages and disadvantages. The present review will provide an overview of current technologies and applications of metabolomics in the determination of new dietary biomarkers. In addition, it will address some of the current challenges in the field and future outlooks.
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Aranaz P, Romo-Hualde A, Zabala M, Navarro-Herrera D, Ruiz de Galarreta M, Gil AG, Martinez JA, Milagro FI, González-Navarro CJ. Freeze-dried strawberry and blueberry attenuates diet-induced obesity and insulin resistance in rats by inhibiting adipogenesis and lipogenesis. Food Funct 2017; 8:3999-4013. [DOI: 10.1039/c7fo00996h] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Freeze-dried strawberry/blueberry powder might be useful for treatment/prevention of obesity-related diseases as it improves weight, fat and glucose-related biomarkers.
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Affiliation(s)
- Paula Aranaz
- Centre for Nutrition Research
- University of Navarra
- Spain
| | | | - María Zabala
- Centre for Nutrition Research
- University of Navarra
- Spain
| | - David Navarro-Herrera
- Centre for Nutrition Research
- University of Navarra
- Spain
- Department of Biochemistry and Genetics
- University of Navarra
| | | | - Ana Gloria Gil
- Department of Pharmacology and Toxicology
- University of Navarra
- Spain
- Toxicology Unit
- Drug Development Unit University of Navarra (DDUNAV)
| | - J. Alfredo Martinez
- Centre for Nutrition Research
- University of Navarra
- Spain
- Navarra Institute of Health Research (IdiSNA)
- Pamplona
| | - Fermín I. Milagro
- Centre for Nutrition Research
- University of Navarra
- Spain
- Department of Nutrition
- Food science and Physiology
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Mukamal KJ, Clowry CM, Murray MM, Hendriks HFJ, Rimm EB, Sink KM, Adebamowo CA, Dragsted LO, Lapinski PS, Lazo M, Krystal JH. Moderate Alcohol Consumption and Chronic Disease: The Case for a Long-Term Trial. Alcohol Clin Exp Res 2016; 40:2283-2291. [PMID: 27688006 PMCID: PMC5073014 DOI: 10.1111/acer.13231] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 09/01/2016] [Indexed: 12/21/2022]
Abstract
Drinking within recommended limits is highly prevalent in much of the world, and strong epidemiological associations exist between moderate alcohol consumption and risk of several major chronic diseases, including coronary heart disease, diabetes, and breast cancer. In many cases, plausible biological mediators for these associations have been identified in randomized trials, but gold standard evidence that moderate drinking causes or prevents any chronic disease remains elusive and important concerns about available evidence have been raised. Although long-term randomized trials to test the observed associations have been termed impossible, clinical investigators have now successfully completed randomized trials of complex nutritional interventions in a variety of settings, along with trials of alcohol consumption itself of up to 2 years duration. The successful completion of these trials suggests that objections to the execution of a full-scale, long-term clinical trial of moderate drinking on chronic disease are increasingly untenable. We present potential lessons learned for such a trial and discuss key features to maximize its feasibility and value.
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Affiliation(s)
- Kenneth J Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
| | - Catherine M Clowry
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Margaret M Murray
- National Institute on Alcohol Abuse and Alcoholism, Rockville, Maryland
| | | | - Eric B Rimm
- Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts
| | - Kaycee M Sink
- Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Clement A Adebamowo
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Lars O Dragsted
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - P Scott Lapinski
- Countway Library of Medicine, Harvard University, Boston, Massachusetts
| | - Mariana Lazo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
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58
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Nuts and their co-products: The impact of processing (roasting) on phenolics, bioavailability, and health benefits – A comprehensive review. J Funct Foods 2016. [DOI: 10.1016/j.jff.2016.06.029] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
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59
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Playdon MC, Sampson JN, Cross AJ, Sinha R, Guertin KA, Moy KA, Rothman N, Irwin ML, Mayne ST, Stolzenberg-Solomon R, Moore SC. Comparing metabolite profiles of habitual diet in serum and urine. Am J Clin Nutr 2016; 104:776-89. [PMID: 27510537 PMCID: PMC4997302 DOI: 10.3945/ajcn.116.135301] [Citation(s) in RCA: 123] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Accepted: 07/08/2016] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Diet plays an important role in chronic disease etiology, but some diet-disease associations remain inconclusive because of methodologic limitations in dietary assessment. Metabolomics is a novel method for identifying objective dietary biomarkers, although it is unclear what dietary information is captured from metabolites found in serum compared with urine. OBJECTIVE We compared metabolite profiles of habitual diet measured from serum with those measured from urine. DESIGN We first estimated correlations between consumption of 56 foods, beverages, and supplements assessed by a food-frequency questionnaire, with 676 serum and 848 urine metabolites identified by untargeted liquid chromatography mass spectrometry, ultra-high performance liquid chromatography tandem mass spectrometry, and gas chromatography mass spectrometry in a colon adenoma case-control study (n = 125 cases and 128 controls) while adjusting for age, sex, smoking, fasting, case-control status, body mass index, physical activity, education, and caloric intake. We controlled for multiple comparisons with the use of a false discovery rate of <0.1. Next, we created serum and urine multiple-metabolite models to predict food intake with the use of 10-fold crossvalidation least absolute shrinkage and selection operator regression for 80% of the data; predicted values were created in the remaining 20%. Finally, we compared predicted values with estimates obtained from self-reported intake for metabolites measured in serum and urine. RESULTS We identified metabolites associated with 46 of 56 dietary items; 417 urine and 105 serum metabolites were correlated with ≥1 food, beverage, or supplement. More metabolites in urine (n = 154) than in serum (n = 39) were associated uniquely with one food. We found previously unreported metabolite associations with leafy green vegetables, sugar-sweetened beverages, citrus, added sugar, red meat, shellfish, desserts, and wine. Prediction of dietary intake from multiple-metabolite profiles was similar between biofluids. CONCLUSIONS Candidate metabolite biomarkers of habitual diet are identifiable in both serum and urine. Urine samples offer a valid alternative or complement to serum for metabolite biomarkers of diet in large-scale clinical or epidemiologic studies.
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Affiliation(s)
- Mary C Playdon
- Yale School of Public Health, Yale University, New Haven, CT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD;
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Amanda J Cross
- Faculty of Medicine, School of Public Health, Imperial College London, London, United Kingdom
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Kristin A Guertin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Kristin A Moy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Melinda L Irwin
- Yale School of Public Health, Yale University, New Haven, CT; Yale Cancer Center, New Haven, CT; and
| | - Susan T Mayne
- Yale School of Public Health, Yale University, New Haven, CT; Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD
| | | | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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60
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Zamroziewicz MK, Barbey AK. Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging. Front Neurosci 2016; 10:240. [PMID: 27375409 PMCID: PMC4893495 DOI: 10.3389/fnins.2016.00240] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 05/17/2016] [Indexed: 11/29/2022] Open
Abstract
Nutritional cognitive neuroscience is an emerging interdisciplinary field of research that seeks to understand nutrition's impact on cognition and brain health across the life span. Research in this burgeoning field demonstrates that many aspects of nutrition—from entire diets to specific nutrients—affect brain structure and function, and therefore have profound implications for understanding the nature of healthy brain aging. The aim of this Focused Review is to examine recent advances in nutritional cognitive neuroscience, with an emphasis on methods that enable discovery of nutrient biomarkers that predict healthy brain aging. We propose an integrative framework that calls for the synthesis of research in nutritional epidemiology and cognitive neuroscience, incorporating: (i) methods for the precise characterization of nutritional health based on the analysis of nutrient biomarker patterns (NBPs), along with (ii) modern indices of brain health derived from high-resolution magnetic resonance imaging (MRI). By integrating cutting-edge techniques from nutritional epidemiology and cognitive neuroscience, nutritional cognitive neuroscience will continue to advance our understanding of the beneficial effects of nutrition on the aging brain and establish effective nutritional interventions to promote healthy brain aging.
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Affiliation(s)
- Marta K Zamroziewicz
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-ChampaignUrbana, IL, USA; Neuroscience Program, University of Illinois at Urbana-ChampaignChampaign, IL, USA
| | - Aron K Barbey
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-ChampaignUrbana, IL, USA; Neuroscience Program, University of Illinois at Urbana-ChampaignChampaign, IL, USA; Carle R. Woese Institute for Genomic Biology, University of Illinois at Urbana-ChampaignChampaign, IL, USA; Department of Bioengineering, University of Illinois at Urbana-ChampaignChampaign, IL, USA; Department of Internal Medicine, University of Illinois at Urbana-ChampaignChampaign, IL, USA; Department of Psychology, University of Illinois at Urbana-ChampaignChampaign, IL, USA; Department of Speech and Hearing Science, University of Illinois at Urbana-ChampaignChampaign, IL, USA
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61
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Abstract
Current dietary assessment methods including FFQ, 24-h recalls and weighed food diaries are associated with many measurement errors. In an attempt to overcome some of these errors, dietary biomarkers have emerged as a complementary approach to these traditional methods. Metabolomics has developed as a key technology for the identification of new dietary biomarkers and to date, metabolomic-based approaches have led to the identification of a number of putative biomarkers. The three approaches generally employed when using metabolomics in dietary biomarker discovery are: (i) acute interventions where participants consume specific amounts of a test food, (ii) cohort studies where metabolic profiles are compared between consumers and non-consumers of a specific food and (iii) the analysis of dietary patterns and metabolic profiles to identify nutritypes and biomarkers. The present review critiques the current literature in terms of the approaches used for dietary biomarker discovery and gives a detailed overview of the currently proposed biomarkers, highlighting steps needed for their full validation. Furthermore, the present review also evaluates areas such as current databases and software tools, which are needed to advance the interpretation of results and therefore enhance the utility of dietary biomarkers in nutrition research.
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62
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An M, Gao Y. Urinary Biomarkers of Brain Diseases. GENOMICS PROTEOMICS & BIOINFORMATICS 2016; 13:345-54. [PMID: 26751805 PMCID: PMC4747650 DOI: 10.1016/j.gpb.2015.08.005] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 08/01/2015] [Accepted: 08/14/2015] [Indexed: 12/12/2022]
Abstract
Biomarkers are the measurable changes associated with a physiological or pathophysiological process. Unlike blood, urine is not subject to homeostatic mechanisms. Therefore, greater fluctuations could occur in urine than in blood, better reflecting the changes in human body. The roadmap of urine biomarker era was proposed. Although urine analysis has been attempted for clinical diagnosis, and urine has been monitored during the progression of many diseases, particularly urinary system diseases, whether urine can reflect brain disease status remains uncertain. As some biomarkers of brain diseases can be detected in the body fluids such as cerebrospinal fluid and blood, there is a possibility that urine also contain biomarkers of brain diseases. This review summarizes the clues of brain diseases reflected in the urine proteome and metabolome.
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Affiliation(s)
- Manxia An
- Department of Pathophysiology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China; School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
| | - Youhe Gao
- Department of Pathophysiology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005, China; Department of Biochemistry and Molecular Biology, Beijing Normal University, Beijing Key Laboratory of Gene Engineering and Biotechnology, Beijing 100875, China.
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63
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Hanhineva K. Application of Metabolomics to Assess Effects of Controlled Dietary Interventions. Curr Nutr Rep 2015. [DOI: 10.1007/s13668-015-0148-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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64
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Wu J, Gao Y. Physiological conditions can be reflected in human urine proteome and metabolome. Expert Rev Proteomics 2015; 12:623-36. [PMID: 26472227 DOI: 10.1586/14789450.2015.1094380] [Citation(s) in RCA: 99] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Biomarkers are the measurable changes associated with physiological or pathophysiological processes. Urine, unlike blood, lacks mechanisms for maintaining homeostasis: it is therefore an ideal source of biomarkers that can reflect systemic changes. Urinary proteome and metabolome have been studied for their diagnostic capabilities, ability to monitor disease and prognostic utility. In this review, the effects of common physiological conditions such as gender, age, diet, daily rhythms, exercise, hormone status, lifestyle and extreme environments on human urine are discussed. These effects should be considered when biomarker studies of diseases are conducted. More importantly, if physiological changes can be reflected in urine, we have reason to expect that urine will become widely used to detect small and early changes in pathological and/or pharmacological conditions.
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Affiliation(s)
- Jianqiang Wu
- a 1 Department of Pathophysiology, National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Youhe Gao
- a 1 Department of Pathophysiology, National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.,b 2 Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering and Biotechnology Beijing Key Laboratory, Beijing, 100875, China
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65
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Brennan L, Gibbons H, O’Gorman A. An Overview of the Role of Metabolomics in the Identification of Dietary Biomarkers. Curr Nutr Rep 2015. [DOI: 10.1007/s13668-015-0139-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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66
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Hanhineva K, Brunius C, Andersson A, Marklund M, Juvonen R, Keski-Rahkonen P, Auriola S, Landberg R. Discovery of urinary biomarkers of whole grain rye intake in free-living subjects using nontargeted LC-MS metabolite profiling. Mol Nutr Food Res 2015; 59:2315-25. [DOI: 10.1002/mnfr.201500423] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 08/05/2015] [Accepted: 08/06/2015] [Indexed: 11/07/2022]
Affiliation(s)
- Kati Hanhineva
- Department of Clinical Nutrition; Institute of Public Health and Clinical Nutrition; University of Eastern Finland; Kuopio Finland
| | - Carl Brunius
- Department of Food Science; Uppsala BioCenter; Swedish University of Agricultural Sciences; Uppsala Sweden
| | - Agneta Andersson
- Department of Food; Nutrition and Dietetics; Uppsala University; Uppsala Sweden
| | - Matti Marklund
- Department of Public Health and Caring Sciences; Clinical Nutrition and Metabolism; Uppsala Univeristy; Uppsala Sweden
| | - Risto Juvonen
- School of Pharmacy; University of Eastern Finland; Kuopio Finland
| | | | - Seppo Auriola
- School of Pharmacy; University of Eastern Finland; Kuopio Finland
| | - Rikard Landberg
- Department of Food Science; Uppsala BioCenter; Swedish University of Agricultural Sciences; Uppsala Sweden
- Nutritional Epidemiology Unit; Institute of Environmental Medicine; Karolinska Insitutet; Stockholm Sweden
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67
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The foodomics approach for discovering biomarkers of food consumption in nutrition studies. Curr Opin Food Sci 2015. [DOI: 10.1016/j.cofs.2015.07.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Gibbons H, McNulty BA, Nugent AP, Walton J, Flynn A, Gibney MJ, Brennan L. A metabolomics approach to the identification of biomarkers of sugar-sweetened beverage intake. Am J Clin Nutr 2015; 101:471-7. [PMID: 25733631 DOI: 10.3945/ajcn.114.095604] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The association between sugar-sweetened beverages (SSBs) and health risks remains controversial. To clarify proposed links, reliable and accurate dietary assessment methods of food intakes are essential. OBJECTIVE The aim of this present work was to use a metabolomics approach to identify a panel of urinary biomarkers indicative of SSB consumption from a national food consumption survey and subsequently validate this panel in an acute intervention study. DESIGN Heat map analysis was performed to identify correlations between ¹H nuclear magnetic resonance (NMR) spectral regions and SSB intakes in participants of the National Adult Nutrition Survey (n = 565). Metabolites were identified and receiver operating characteristic (ROC) analysis was performed to assess sensitivity and specificity of biomarkers. The panel of biomarkers was validated in an acute study (n = 10). A fasting first-void urine sample and postprandial samples (2, 4, 6 h) were collected after SSB consumption. After NMR spectroscopic profiling of the urine samples, multivariate data analysis was applied. RESULTS A panel of 4 biomarkers-formate, citrulline, taurine, and isocitrate-were identified as markers of SSB intake. This panel of biomarkers had an area under the curve of 0.8 for ROC analysis and a sensitivity and specificity of 0.7 and 0.8, respectively. All 4 biomarkers were identified in the SSB sample. After acute consumption of an SSB drink, all 4 metabolites increased in the urine. CONCLUSIONS The present metabolomics-based strategy proved to be successful in the identification of SSB biomarkers. Future work will ascertain how to translate this panel of markers for use in nutrition epidemiology.
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Affiliation(s)
- Helena Gibbons
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Breige A McNulty
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Anne P Nugent
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Janette Walton
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Albert Flynn
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Michael J Gibney
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
| | - Lorraine Brennan
- From the Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland (HG, BAM, APN, MJG, and LB), and the School of Food and Nutritional Sciences, University College Cork, Cork, Republic of Ireland (JW and AF)
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Abstract
PURPOSE OF REVIEW Metabolomics is emerging as a powerful tool for studying metabolic processes and in recent years, the applications in the area of nutrition have risen rapidly. The present review gives an overview of the current applications in the field of nutrition and identifies areas in need of advancement. RECENT FINDINGS Applications in nutrition research can in general be divided into three main areas: identification of dietary biomarkers, study of diet-related diseases and identification of biomarkers of disease and application to dietary intervention studies as a tool to identify molecular mechanisms. SUMMARY Metabolomics has made a significant impact on all the areas identified above and is set to have a major impact on the study of diet-health relationships.
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Affiliation(s)
- Helena Gibbons
- aUCD Conway Institute bUCD Institute of Food and Health, Belfield, Dublin, Ireland
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70
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Challenges of analyzing different classes of metabolites by a single analytical method. Bioanalysis 2014; 6:3393-416. [DOI: 10.4155/bio.14.236] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Complex biological samples include thousands of metabolites that range widely in both physiochemical properties and concentration. Simultaneously analyzing metabolites with different properties using a single analytical method is very challenging. The analytical process for metabolites comprises multiple steps including sampling, quenching, sample preparation, separation and detection. Each step can have a significant effect on the reliability and precision of ultimate analytic results. The aim of review is a discussion of considerations and challenges for the simultaneous analysis of metabolites using LC– and GC–MS systems. The review discusses available methodology for each analytical step, and presents the limitations and advantages of each method for the large-scale targeted metabolomics analysis of human and animal biological samples.
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71
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Scalbert A, Brennan L, Manach C, Andres-Lacueva C, Dragsted LO, Draper J, Rappaport SM, van der Hooft JJJ, Wishart DS. The food metabolome: a window over dietary exposure. Am J Clin Nutr 2014; 99:1286-308. [PMID: 24760973 DOI: 10.3945/ajcn.113.076133] [Citation(s) in RCA: 331] [Impact Index Per Article: 33.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The food metabolome is defined as the part of the human metabolome directly derived from the digestion and biotransformation of foods and their constituents. With >25,000 compounds known in various foods, the food metabolome is extremely complex, with a composition varying widely according to the diet. By its very nature it represents a considerable and still largely unexploited source of novel dietary biomarkers that could be used to measure dietary exposures with a high level of detail and precision. Most dietary biomarkers currently have been identified on the basis of our knowledge of food compositions by using hypothesis-driven approaches. However, the rapid development of metabolomics resulting from the development of highly sensitive modern analytic instruments, the availability of metabolite databases, and progress in (bio)informatics has made agnostic approaches more attractive as shown by the recent identification of novel biomarkers of intakes for fruit, vegetables, beverages, meats, or complex diets. Moreover, examples also show how the scrutiny of the food metabolome can lead to the discovery of bioactive molecules and dietary factors associated with diseases. However, researchers still face hurdles, which slow progress and need to be resolved to bring this emerging field of research to maturity. These limits were discussed during the First International Workshop on the Food Metabolome held in Glasgow. Key recommendations made during the workshop included more coordination of efforts; development of new databases, software tools, and chemical libraries for the food metabolome; and shared repositories of metabolomic data. Once achieved, major progress can be expected toward a better understanding of the complex interactions between diet and human health.
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Affiliation(s)
- Augustin Scalbert
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - Lorraine Brennan
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - Claudine Manach
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - Cristina Andres-Lacueva
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - Lars O Dragsted
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - John Draper
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - Stephen M Rappaport
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - Justin J J van der Hooft
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
| | - David S Wishart
- From the International Agency for Research on Cancer, Lyon, France (AS); University College Dublin, Dublin, Ireland (LB); the Institut National de la Recherche Agronomique, Clermont-Ferrand, France (CM); Clermont University, Clermont-Ferrand, France (CM); the University of Barcelona, Barcelona, Spain (CA-L); the University of Copenhagen, Frederiksberg, Denmark (LOD); Aberystwyth University, Aberystwyth, United Kingdom (JD); the University of California, Berkeley, CA (SMR); the University of Glasgow, Glasgow, United Kingdom (JJJvdH); and the University of Alberta, Edmonton, Canada (DSW)
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72
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Andersen MBS, Rinnan Å, Manach C, Poulsen SK, Pujos-Guillot E, Larsen TM, Astrup A, Dragsted LO. Untargeted Metabolomics as a Screening Tool for Estimating Compliance to a Dietary Pattern. J Proteome Res 2014; 13:1405-18. [DOI: 10.1021/pr400964s] [Citation(s) in RCA: 102] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
| | | | - Claudine Manach
- INRA,
UMR1019, Human Nutrition Unit, University of Auvergne, Research Centre of Clermont-Ferrand-Theix, Clermont-Ferrand-Theix, F-63800, France
| | | | - Estelle Pujos-Guillot
- INRA,
UMR1019, Human Nutrition Unit, University of Auvergne, Research Centre of Clermont-Ferrand-Theix, Clermont-Ferrand-Theix, F-63800, France
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