1
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Wegrzyn TF, Henare S, Ahlborn N, Ahmed Nasef N, Samuelsson LM, Loveday SM. The plasma amino acid response to blended protein beverages: a randomised crossover trial. Br J Nutr 2022; 128:1555-1564. [PMID: 35105389 DOI: 10.1017/s0007114521004591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Soya-dairy protein blends can extend post-exercise muscle synthesis in young people more than whey protein control. Older adults differ metabolically from young people, and their ability to absorb amino acids from dietary protein is important for muscle function. The objective was to determine how protein source affects postprandial plasma amino acid response and/or metabolomic profile in older adults via a single-blind randomised crossover trial (n 16, males 50-70 years), using three nutritionally equivalent meal replacement drinks containing 30 g protein, from a 1:1 (mass ratio) soya:dairy blend, a 1:2 soya:dairy blend or whey protein. The outcome measures were plasma amino acid concentrations at 0-300 min postprandially and urine metabolomic fingerprint. Soya:dairy drinks gave similar amino acid response in plasma over time and similar urinary metabolite fingerprints. However, there were significant differences in plasma amino acid concentrations and AUC values for the soya:dairy drinks v. the whey protein drink. AUC for Leu, Trp and Lys was lower and AUC for Phe and Pro was higher for the soya:dairy drinks. Differences partly reflected the amino acid profiles of the drinks, but overall plasma amino acid response patterns were qualitatively unchanged. Plasma amino acid differences between the whey protein drink and the soya:dairy blends were reflected in urine metabolite patterns. In conclusion, postprandial plasma amino acid responses were broadly similar, irrespective of protein source (and soya:dairy ratio). There were significant differences for some plasma amino acid concentrations, reflecting different amino acid profiles of the protein source and influencing urine metabolite fingerprints.
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Affiliation(s)
- Teresa F Wegrzyn
- Riddet Institute, Massey University, Palmerston North4442, New Zealand
| | - Sharon Henare
- School of Health Sciences, College of Health, Massey University, Palmerston North, New Zealand
| | - Natalie Ahlborn
- Smart Foods Innovation Centre of Excellence, AgResearch Limited, Tennent Drive, Palmerston North, New Zealand
| | - Noha Ahmed Nasef
- Riddet Institute, Massey University, Palmerston North4442, New Zealand
| | - Linda M Samuelsson
- Smart Foods Innovation Centre of Excellence, AgResearch Limited, Tennent Drive, Palmerston North, New Zealand
| | - Simon M Loveday
- Riddet Institute, Massey University, Palmerston North4442, New Zealand
- Smart Foods Innovation Centre of Excellence, AgResearch Limited, Tennent Drive, Palmerston North, New Zealand
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2
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Clarke ED, Rollo ME, Pezdirc K, Collins CE, Haslam RL. Urinary biomarkers of dietary intake: a review. Nutr Rev 2020; 78:364-381. [PMID: 31670796 DOI: 10.1093/nutrit/nuz048] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Dietary intakes are commonly assessed by established methods including food frequency questionnaires, food records, or recalls. These self-report methods have limitations impacting validity and reliability. Dietary biomarkers provide objective verification of self-reported food intakes, and represent a rapidly evolving area. This review aims to summarize the urinary biomarkers of individual foods, food groups, dietary patterns, or nutritional supplements that have been evaluated to date. Six electronic databases were searched. Included studies involved healthy populations, were published from 2000, and compared measured dietary intake with urinary markers. The initial search identified 9985 studies; of these, 616 full texts were retrieved and 109 full texts were included. Of the included studies, 67 foods and food components were studied, and 347 unique urinary biomarkers were identified. The most reliable biomarkers identified were whole grains (alkylresorcinols), soy (isoflavones), and sugar (sucrose and fructose). While numerous novel urinary biomarkers have been identified, further validation studies are warranted to verify the accuracy of self-reported intakes and utility within practice.
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Affiliation(s)
- Erin D Clarke
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
| | - Megan E Rollo
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
| | - Kristine Pezdirc
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Clare E Collins
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
| | - Rebecca L Haslam
- School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia.,Priority Research Centre in Physical Activity and Nutrition, University of Newcastle, Callaghan, NSW, Australia
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3
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Caterino M, Ruoppolo M, Villani GRD, Marchese E, Costanzo M, Sotgiu G, Dore S, Franconi F, Campesi I. Influence of Sex on Urinary Organic Acids: A Cross-Sectional Study in Children. Int J Mol Sci 2020; 21:ijms21020582. [PMID: 31963255 PMCID: PMC7013514 DOI: 10.3390/ijms21020582] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 01/07/2020] [Accepted: 01/13/2020] [Indexed: 12/12/2022] Open
Abstract
The characterization of urinary metabolome, which provides a fingerprint for each individual, is an important step to reach personalized medicine. It is influenced by exogenous and endogenous factors; among them, we investigated sex influences on 72 organic acids measured through GC-MS analysis in the urine of 291 children (152 males; 139 females) aging 1–36 months and stratified in four groups of age. Among the 72 urinary metabolites, in all age groups, 4-hydroxy-butirate and homogentisate are found only in males, whereas 3-hydroxy-dodecanoate, methylcitrate, and phenylacetate are found only in females. Sex differences are still present after age stratification being more numerous during the first 6 months of life. The most relevant sex differences involve the mitochondria homeostasis. In females, citrate cycle, glyoxylate and dicarboxylate metabolism, alanine, aspartate, glutamate, and butanoate metabolism had the highest impact. In males, urinary organic acids were involved in phenylalanine metabolism, citrate cycle, alanine, aspartate and glutamate metabolism, butanoate metabolism, and glyoxylate and dicarboxylate metabolism. In addition, age specifically affected metabolic pathways, the phenylalanine metabolism pathway being affected by age only in males. Relevantly, the age-influenced ranking of metabolic pathways varied in the two sexes. In conclusion, sex deeply influences both quantitatively and qualitatively urinary organic acids levels, the effect of sex being age dependent. Importantly, the sex effects depend on the single organic acid; thus, in some cases the urinary organic acid reference values should be stratified according the sex and age.
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Affiliation(s)
- Marianna Caterino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
| | - Margherita Ruoppolo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
- Correspondence: (M.R.); (I.C.); Tel.: +39-08-1373-7850 (M.R.); +39-0-7922-8518 (I.C.)
| | - Guglielmo Rosario Domenico Villani
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
| | - Emanuela Marchese
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
- Department of Mental and Physical Health, Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Michele Costanzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
| | - Giovanni Sotgiu
- Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy; (G.S.); (S.D.)
| | - Simone Dore
- Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy; (G.S.); (S.D.)
| | - Flavia Franconi
- Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100 Sassari, Italy;
| | - Ilaria Campesi
- Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100 Sassari, Italy;
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
- Correspondence: (M.R.); (I.C.); Tel.: +39-08-1373-7850 (M.R.); +39-0-7922-8518 (I.C.)
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4
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Personalised nutrition - phenotypic and genetic variation in response to dietary intervention. Proc Nutr Soc 2019; 79:236-245. [PMID: 31549601 DOI: 10.1017/s0029665119001137] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Personalised nutrition allows individual differences in dietary, lifestyle, anthropometry, phenotype and/or genomic profile to be used to direct specific dietary advice. For personalised nutrition advice to be effective both sides need to be considered; firstly, that factors influencing variation in response to dietary intervention are identified and appropriate advice can be derived and secondly; that these are then used effectively in the provision of nutrition advice, resulting in a positive dietary and/or lifestyle behaviour change. There is considerable evidence demonstrating genetic and phenotypic influence on the biological response to the consumption of nutrients and bioactives. However, findings are often mixed, with studies often investigating at the level of a single nutrient/bioactive and/or a single genetic/phenotypic variation, meaning the derivation of specific advice at a dietary level in an individual/group of individuals can be complex. Similarly, the impact of using this information to derive personalised advice is also mixed, with some studies demonstrating no effectiveness and others showing a significant impact. The present paper will outline examples of phenotypic and genetic variation influencing response to nutritional interventions, and will consider how they could be used in the provision of personalised nutrition.
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5
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The effect of sampling procedures and day-to-day variations in metabolomics studies of biofluids. Anal Chim Acta 2019; 1081:93-102. [PMID: 31446969 DOI: 10.1016/j.aca.2019.07.026] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 07/11/2019] [Accepted: 07/13/2019] [Indexed: 12/26/2022]
Abstract
Metabolomics analysis of biofluids is a feasible tool for disease characterization and monitoring due to its minimally invasive nature. To reduce unwanted variation in biobanks and clinical studies, it is important to determine the effect of external factors on metabolic profiles of biofluids. In this study we examined the effect of sample collection and sample processing procedures on NMR measured serum lipoproteins and small-molecule metabolites in serum and urine, using a cohort of men diagnosed with either prostate cancer or benign prostatic hyperplasia. We determined day-to-day reliability of metabolites by systematic sample collection at two different days, in both fasting and non-fasting conditions. Study participants received prostate massage the first day to assess the differences between urine with and without prostate secretions. Further, metabolic differences between first-void and mid-stream urine samples, and the effect of centrifugation of urine samples before storage were assessed. Our results show that day-to-day reliability is highly variable between metabolites in both serum and urine, while lipoprotein subfractions possess high reliability. Further, fasting status clearly influenced the metabolite concentrations, demonstrating the importance of keeping this condition constant within a study cohort. Day-to-day reliabilities were however comparable in fasting and non-fasting samples. Urine sampling procedures such as sampling of first-void or mid-stream urine, and centrifugation or not before sample storage, were shown to only have minimal effect on the overall metabolic profile, and is thus unlikely to constitute a confounder in clinical studies utilizing NMR derived metabolomics.
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6
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Kistner S, Rist MJ, Krüger R, Döring M, Schlechtweg S, Bub A. High-Intensity Interval Training Decreases Resting Urinary Hypoxanthine Concentration in Young Active Men-A Metabolomic Approach. Metabolites 2019; 9:metabo9070137. [PMID: 31295919 PMCID: PMC6680906 DOI: 10.3390/metabo9070137] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 06/28/2019] [Accepted: 07/07/2019] [Indexed: 12/14/2022] Open
Abstract
High-intensity interval training (HIIT) is known to improve performance and skeletal muscle energy metabolism. However, whether the body’s adaptation to an exhausting short-term HIIT is reflected in the resting human metabolome has not been examined so far. Therefore, a randomized controlled intervention study was performed to investigate the effect of a ten-day HIIT on the resting urinary metabolome of young active men. Fasting spot urine was collected before (−1 day) and after (+1 day; +4 days) the training intervention and 65 urinary metabolites were identified by liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy. Metabolite concentrations were normalized to urinary creatinine and subjected to univariate statistical analysis. One day after HIIT, no overall change in resting urinary metabolome, except a significant difference with decreasing means in urinary hypoxanthine concentration, was documented in the experimental group. As hypoxanthine is related to purine degradation, lower resting urinary hypoxanthine levels may indicate a training-induced adaptation in purine nucleotide metabolism.
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Affiliation(s)
- Sina Kistner
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
| | - Manuela J Rist
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany
| | - Ralf Krüger
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany
| | - Maik Döring
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany
| | - Sascha Schlechtweg
- Department of Sport and Exercise Science, University of Stuttgart, 70174 Stuttgart, Germany
| | - Achim Bub
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany
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7
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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 & NUTRITION 2018; 13:26. [PMID: 30279743 PMCID: PMC6162878 DOI: 10.1186/s12263-018-0615-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [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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8
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de Toro-Martín J, Arsenault BJ, Després JP, Vohl MC. Precision Nutrition: A Review of Personalized Nutritional Approaches for the Prevention and Management of Metabolic Syndrome. Nutrients 2017; 9:E913. [PMID: 28829397 PMCID: PMC5579706 DOI: 10.3390/nu9080913] [Citation(s) in RCA: 225] [Impact Index Per Article: 32.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 08/18/2017] [Accepted: 08/18/2017] [Indexed: 02/07/2023] Open
Abstract
The translation of the growing increase of findings emerging from basic nutritional science into meaningful and clinically relevant dietary advices represents nowadays one of the main challenges of clinical nutrition. From nutrigenomics to deep phenotyping, many factors need to be taken into account in designing personalized and unbiased nutritional solutions for individuals or population sub-groups. Likewise, a concerted effort among basic, clinical scientists and health professionals will be needed to establish a comprehensive framework allowing the implementation of these new findings at the population level. In a world characterized by an overwhelming increase in the prevalence of obesity and associated metabolic disturbances, such as type 2 diabetes and cardiovascular diseases, tailored nutrition prescription represents a promising approach for both the prevention and management of metabolic syndrome. This review aims to discuss recent works in the field of precision nutrition analyzing most relevant aspects affecting an individual response to lifestyle/nutritional interventions. Latest advances in the analysis and monitoring of dietary habits, food behaviors, physical activity/exercise and deep phenotyping will be discussed, as well as the relevance of novel applications of nutrigenomics, metabolomics and microbiota profiling. Recent findings in the development of precision nutrition are highlighted. Finally, results from published studies providing examples of new avenues to successfully implement innovative precision nutrition approaches will be reviewed.
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Affiliation(s)
- Juan de Toro-Martín
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Benoit J Arsenault
- Department of Medicine, Faculty of Medicine, Laval University, Quebec City, QC G1V 0A6, Canada.
- Quebec Heart and Lung Institute, Quebec City, QC G1V 4G5, Canada.
| | - Jean-Pierre Després
- Quebec Heart and Lung Institute, Quebec City, QC G1V 4G5, Canada.
- Department of Kinesiology, Faculty of Medicine, Laval University, Quebec City, QC G1V 0A6, Canada.
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V 0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V 0A6, Canada.
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9
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Bhupathiraju SN, Hu FB. One (small) step towards precision nutrition by use of metabolomics. Lancet Diabetes Endocrinol 2017; 5:154-155. [PMID: 28089710 PMCID: PMC5511998 DOI: 10.1016/s2213-8587(17)30007-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 12/09/2016] [Indexed: 12/24/2022]
Affiliation(s)
- Shilpa N Bhupathiraju
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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