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Meng HY, Kim J, Fleuti C, Fuchsmann P, Polakof S, Dardevet D, Marmonier C, Burton-Pimentel KJ, Bütikofer U, Vergères G. Age-Dependent Serum Volatilomics of Milk and Yogurt Intake: A Randomized Crossover Study in Healthy Young and Older Men. J Proteome Res 2023; 22:1201-1212. [PMID: 36961365 PMCID: PMC10088043 DOI: 10.1021/acs.jproteome.2c00674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2023]
Abstract
Nutritional biomarkers of dairy intake can be affected by both food transformation and the metabolic status of the consumer. To assess these effects, this study investigated the serum volatilome of 14 young (YA) and 14 older (OA) adult men undergoing a 3 week restriction of dairy and fermented foods followed by a randomized crossover acute intake of milk and yogurt. 3,5-Dimethyl-octan-2-one was identified as a potential marker of dairy product intake as its response after both milk and yogurt intake was significantly increased during the postprandial phase but significantly decreased in fasting serum samples of the OA group after the restriction phase. The postprandial response of two metabolites was significantly different for the two dairy products while 19 metabolites were modulated by age. Remarkably, the response of all age-dependent metabolites was higher in the OA than in the YA group after milk or yogurt intake, whereas at the end of the restriction phase, their fasting concentrations were lower in the OA than in the YA group. Among these, p-cresol, a specific marker of colonic protein fermentation, had a significant response in the OA but not the YA group, which may suggest impaired intestinal processing of dietary proteins in the OA group.
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Affiliation(s)
- Hélène Yi Meng
- Agroscope, Schwarzenburgstrasse 161, 3003 Bern, Switzerland
| | - Jinyoung Kim
- Agroscope, Schwarzenburgstrasse 161, 3003 Bern, Switzerland
- Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France
- CNIEL, 42 Rue de Châteaudun, F-75009 Paris, France
| | | | | | - Sergio Polakof
- Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France
| | - Dominique Dardevet
- Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France
| | | | | | | | - Guy Vergères
- Agroscope, Schwarzenburgstrasse 161, 3003 Bern, Switzerland
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2
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Li K, Burton-Pimentel KJ, Brouwer-Brolsma EM, Blaser C, Badertscher R, Pimentel G, Portmann R, Feskens EJM, Vergères G. Identifying Plasma and Urinary Biomarkers of Fermented Food Intake and Their Associations with Cardiometabolic Health in a Dutch Observational Cohort. J Agric Food Chem 2023; 71:4426-4439. [PMID: 36853956 PMCID: PMC10021015 DOI: 10.1021/acs.jafc.2c05669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Identification of food intake biomarkers (FIBs) for fermented foods could help improve their dietary assessment and clarify their associations with cardiometabolic health. We aimed to identify novel FIBs for fermented foods in the plasma and urine metabolomes of 246 free-living Dutch adults using nontargeted LC-MS and GC-MS. Furthermore, associations between identified metabolites and several cardiometabolic risk factors were explored. In total, 37 metabolites were identified corresponding to the intakes of coffee, wine, and beer (none were identified for cocoa, bread, cheese, or yoghurt intake). While some of these metabolites appeared to originate from raw food (e.g., niacin and trigonelline for coffee), others overlapped different fermented foods (e.g., 4-hydroxybenzeneacetic acid for both wine and beer). In addition, several fermentation-dependent metabolites were identified (erythritol and citramalate). Associations between these identified metabolites with cardiometabolic parameters were weak and inconclusive. Further evaluation is warranted to confirm their relationships with cardiometabolic disease risk.
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Affiliation(s)
- Katherine
J. Li
- Division
of Human Nutrition and Health, Department of Agrotechnology and Food
Science, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
- Agroscope, Schwarzenburgstrasse 161, CH-3003 Bern, Switzerland
| | | | - Elske M. Brouwer-Brolsma
- Division
of Human Nutrition and Health, Department of Agrotechnology and Food
Science, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Carola Blaser
- Agroscope, Schwarzenburgstrasse 161, CH-3003 Bern, Switzerland
| | | | | | - Reto Portmann
- Agroscope, Schwarzenburgstrasse 161, CH-3003 Bern, Switzerland
| | - Edith J. M. Feskens
- Division
of Human Nutrition and Health, Department of Agrotechnology and Food
Science, Wageningen University & Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
| | - Guy Vergères
- Agroscope, Schwarzenburgstrasse 161, CH-3003 Bern, Switzerland
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3
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Li KJ, Brouwer-Brolsma EM, Fleuti C, Badertscher R, Vergères G, Feskens EJM, Burton-Pimentel KJ. Associations between dairy fat intake, milk-derived free fatty acids, and cardiometabolic risk in Dutch adults. Eur J Nutr 2023; 62:185-198. [PMID: 35931833 PMCID: PMC9899750 DOI: 10.1007/s00394-022-02974-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 07/25/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE Milk-derived free fatty acids (FFAs) may act as both biomarkers of intake and metabolic effect. In this study we explored associations between different types of dairy consumption, a selection of milk-derived free fatty acids, and cardiometabolic disease (CMD) risk factors. METHODS Sixty-seven FFAs were quantified in the plasma of 131 free-living Dutch adults (median 60 years) using gas chromatography-flame ionization detector. Intakes of different dairy foods and groups were assessed using a food frequency questionnaire. Twelve different CMD risk factors were analyzed. Multiple linear regressions were used to evaluate the associations under study. RESULTS Based on the fully adjusted models, 5 long-chain unsaturated FFAs (C18:1 t13 + c6 + c7 + u, C18:2 c9t11 + u, C20:1 c11, C20:3 c8c11c14, and C20:4 c5c8c11c14), 2 medium-chain saturated FFAs (C15, C15 iso), and a trans FFA (C16:1 t9) were positively associated with at least one variable of dairy intake, as well as plasma total and LDL cholesterol, blood pressure, and SCORE (p ≤ 0.05). A long-chain PUFA associated with high-fat fermented dairy intake (C18:2 t9t12), was negatively associated with serum triglyceride levels, and a long-chain saturated FFA associated with cheese intake (C18:1 u1) was negatively associated with plasma LDL cholesterol and serum triglyceride levels. No clear associations were observed between dairy intake and CMD risk factors. CONCLUSION Milk-derived FFAs could act as sensitive biomarkers for dairy intake and metabolism, allowing the association between dairy and CMD risk to be more precisely evaluated.
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Affiliation(s)
- Katherine J. Li
- grid.4818.50000 0001 0791 5666Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, The Netherlands ,grid.484687.1 0000 0001 1457 2921Agroscope, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Bern, Switzerland
| | - Elske M. Brouwer-Brolsma
- grid.4818.50000 0001 0791 5666Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, The Netherlands
| | - Charlotte Fleuti
- grid.484687.1 0000 0001 1457 2921Agroscope, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Bern, Switzerland
| | - René Badertscher
- grid.484687.1 0000 0001 1457 2921Agroscope, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Bern, Switzerland
| | - Guy Vergères
- grid.484687.1 0000 0001 1457 2921Agroscope, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Bern, Switzerland
| | - Edith J. M. Feskens
- grid.4818.50000 0001 0791 5666Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, The Netherlands
| | - Kathryn J. Burton-Pimentel
- grid.484687.1 0000 0001 1457 2921Agroscope, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Bern, Switzerland
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4
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Li KJ, Burton-Pimentel KJ, Vergères G, Feskens EJM, Brouwer-Brolsma EM. Fermented foods and cardiometabolic health: Definitions, current evidence, and future perspectives. Front Nutr 2022; 9:976020. [PMID: 36204374 PMCID: PMC9530890 DOI: 10.3389/fnut.2022.976020] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 08/30/2022] [Indexed: 11/30/2022] Open
Abstract
Unhealthy diets contribute to the increasing burden of non-communicable diseases. Annually, over 11 million deaths worldwide are attributed to dietary risk factors, with the vast majority of deaths resulting from cardiometabolic diseases (CMDs) including cardiovascular disease (∼10 million) and type II diabetes (∼339,000). As such, defining diets and dietary patterns that mitigate CMD risk is of great public health importance. Recently, the consumption of fermented foods has emerged as an important dietary strategy for improving cardiometabolic health. Fermented foods have been present in the human diet for over 10,000 years, but knowledge on whether their consumption benefits human health, and the molecular and microbiological mechanisms underpinning their purported health benefits, is relatively nascent. This review provides an overview of the definitions of fermented foods, types and qualities of fermented foods consumed in Europe and globally, possible mechanisms between the consumption of fermented foods and cardiometabolic health, as well as the current state of the epidemiological evidence on fermented food intake and cardiometabolic health. Finally, we outline future perspectives and opportunities for improving the role of fermented foods in human diets.
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Affiliation(s)
- Katherine J. Li
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
- Agroscope, Bern, Switzerland
- *Correspondence: Katherine J. Li,
| | | | | | - Edith J. M. Feskens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
| | - Elske M. Brouwer-Brolsma
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
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Guggisberg D, Burton-Pimentel KJ, Walther B, Badertscher R, Blaser C, Portmann R, Schmid A, Radtke T, Saner H, Fournier N, Bütikofer U, Vergères G. Molecular effects of the consumption of margarine and butter varying in trans fat composition: a parallel human intervention study. Lipids Health Dis 2022; 21:74. [PMID: 35982449 PMCID: PMC9389665 DOI: 10.1186/s12944-022-01675-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 06/13/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Whereas the dietary intake of industrial trans fatty acids (iTFA) has been specifically associated with inflammation, cardiovascular disease, and type 2 diabetes, understanding the impact of dietary fats on human health remains challenging owing to their complex composition and individual effects of their lipid components on metabolism. The aim of this study is to profile the composition of blood, measured by the fatty acid (FAs) profile and untargeted metabolome of serum and the transcriptome of blood cells, in order to identify molecular signatures that discriminate dietary fat intakes. METHODS In a parallel study, the molecular effects of consuming dairy fat containing ruminant TFA (rTFA) or margarine containing iTFA were investigated. Healthy volunteers (n = 42; 45-69 y) were randomly assigned to diets containing margarine without TFA as major source of fat (wTFA control group with 0.4 g TFA per 100 g margarine), margarine with iTFA (iTFA group with 4.1 g TFA per 100 g margarine), or butter with rTFA (rTFA group with 6.3 g TFA per 100 g butter) for 4 weeks. The amounts of test products were individually selected so that fat intake contributed to 30-33% of energy requirements and TFA in the rTFA and iTFA groups contributed to up to 2% of energy intake. Changes in fasting blood values of lipid profiles (GC with flame-ionization detection), metabolome profiles (LC-MS, GC-MS), and gene expression (microarray) were measured. RESULTS Eighteen FAs, as well as 242 additional features measured by LC-MS (185) and GC-MS (54) showed significantly different responses to the diets (PFDR-adjusted < 0.05), mainly distinguishing butter from the margarine diets while gene expression was not differentially affected. The most abundant TFA in the butter, i.e. TFA containing (E)-octadec-11-enoic acid (C18:1 t11; trans vaccenic acid), and margarines, i.e. TFA containing (E)-octadec-9-enoic acid (C18:1 t9; elaidic acid) were reflected in the significantly different serum levels of TFAs measured after the dietary interventions. CONCLUSIONS The untargeted serum metabolome differentiates margarine from butter intake although the identification of the discriminating features remains a bottleneck. The targeted serum FA profile provides detailed information on specific molecules differentiating not only butter from margarine intake but also diets with different content of iTFAs in margarine. TRIAL REGISTRATION ClinicalTrials.gov NCT00933322.
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Affiliation(s)
| | | | | | | | | | | | | | - Thomas Radtke
- Preventive Cardiology and Sports Medicine, University Clinic for Cardiology, Inselspital, University of Bern, Bern, Switzerland.,Present addresses: Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Hugo Saner
- Preventive Cardiology and Sports Medicine, University Clinic for Cardiology, Inselspital, University of Bern, Bern, Switzerland.,Present addresses: Institute for Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Nadine Fournier
- Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Lausanne, Switzerland
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6
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Segrestin B, Delage P, Nemeth A, Seyssel K, Disse E, Nazare JA, Lambert-Porcheron S, Meiller L, Sauvinet V, Chanon S, Simon C, Ratiney H, Beuf O, Pralong F, Yassin NAH, Boizot A, Gachet M, Burton-Pimentel KJ, Vidal H, Meugnier E, Vionnet N, Laville M. Polyphenol Supplementation Did Not Affect Insulin Sensitivity and Fat Deposition During One-Month Overfeeding in Randomized Placebo-Controlled Trials in Men and in Women. Front Nutr 2022; 9:854255. [PMID: 35614978 PMCID: PMC9125251 DOI: 10.3389/fnut.2022.854255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/05/2022] [Indexed: 12/30/2022] Open
Abstract
Two randomized placebo-controlled double-blind paralleled trials (42 men in Lyon, 19 women in Lausanne) were designed to test 2 g/day of a grape polyphenol extract during 31 days of high calorie-high fructose overfeeding. Hyperinsulinemic-euglycemic clamps and test meals with [1,1,1-13C3]-triolein were performed before and at the end of the intervention. Changes in body composition were assessed by dual-energy X-ray absorptiometry (DEXA). Fat volumes of the abdominal region and liver fat content were determined in men only, using 3D-magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) at 3T. Adipocyte's size was measured in subcutaneous fat biopsies. Bodyweight and fat mass increased during overfeeding, in men and in women. While whole body insulin sensitivity did not change, homeostasis model assessment of insulin resistance (HOMA-IR) and the hepatic insulin resistance index (HIR) increased during overfeeding. Liver fat increased in men. However, grape polyphenol supplementation did not modify the metabolic and anthropometric parameters or counteract the changes during overfeeding, neither in men nor in women. Polyphenol intake was associated with a reduction in adipocyte size in women femoral fat. Grape polyphenol supplementation did not counteract the moderated metabolic alterations induced by one month of high calorie-high fructose overfeeding in men and women. The clinical trials are registered under the numbers NCT02145780 and NCT02225457 at ClinicalTrials.gov and available at https://clinicaltrials.gov/ct2/show/NCT02145780 and https://clinicaltrials.gov/ct2/show/NCT02225457.
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Affiliation(s)
- Bérénice Segrestin
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France.,CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France.,Centre Hospitalier Lyon-Sud Service d'Endocrinologie Diabète Nutrition Lyon, Hospices Civils de Lyon, Lyon, France
| | - Pauline Delage
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France
| | - Angéline Nemeth
- CNRS, INSERM, CREATIS, Université de Lyon, INSA-Lyon, Claude Bernard Lyon 1 University, UJM-Saint Etienne, Lyon, France
| | - Kevin Seyssel
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France.,CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France
| | - Emmanuel Disse
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France.,CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France.,Centre Hospitalier Lyon-Sud Service d'Endocrinologie Diabète Nutrition Lyon, Hospices Civils de Lyon, Lyon, France
| | - Julie-Anne Nazare
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France.,CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France
| | | | - Laure Meiller
- CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France
| | - Valerie Sauvinet
- CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France
| | - Stéphanie Chanon
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France
| | - Chantal Simon
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France.,CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France
| | - Hélène Ratiney
- CNRS, INSERM, CREATIS, Université de Lyon, INSA-Lyon, Claude Bernard Lyon 1 University, UJM-Saint Etienne, Lyon, France
| | - Olivier Beuf
- CNRS, INSERM, CREATIS, Université de Lyon, INSA-Lyon, Claude Bernard Lyon 1 University, UJM-Saint Etienne, Lyon, France
| | - François Pralong
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Naba-Al-Huda Yassin
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Alexia Boizot
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Mélanie Gachet
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Kathryn J Burton-Pimentel
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Hubert Vidal
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France.,CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France
| | - Emmanuelle Meugnier
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France
| | - Nathalie Vionnet
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, Switzerland
| | - Martine Laville
- INSERM, INRAe, CarMeN Laboratory, Claude Bernard Lyon 1 University, Lyon, France.,CRNH-RA, INSERM, INRAe, Hospices Civils de Lyon, Claude Bernard Lyon 1 University, Lyon, France.,Centre Hospitalier Lyon-Sud Service d'Endocrinologie Diabète Nutrition Lyon, Hospices Civils de Lyon, Lyon, France
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Porzi M, Burton-Pimentel KJ, Walther B, Vergères G. Development of Personalized Nutrition: Applications in Lactose Intolerance Diagnosis and Management. Nutrients 2021; 13:nu13051503. [PMID: 33946892 PMCID: PMC8145768 DOI: 10.3390/nu13051503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 04/22/2021] [Accepted: 04/27/2021] [Indexed: 12/23/2022] Open
Abstract
Recent discoveries in the “omics” field and the growing focus on preventive health have opened new avenues for personalized nutrition (PN), which is becoming an important theme in the strategic plans of organizations that are active in healthcare, food, and nutrition research. PN holds great potential for individual health optimization, disease management, public health interventions, and product innovation. However, there are still multiple challenges to overcome before PN can be truly embraced by the public and healthcare stakeholders. The diagnosis and management of lactose intolerance (LI), a common condition with a strong inter-individual component, is explored as an interesting example for the potential role of these technologies and the challenges of PN. From the development of genetic and metabolomic LI diagnostic tests that can be carried out in the home, to advances in the understanding of LI pathology and individualized treatment optimization, PN in LI care has shown substantial progress. However, there are still many research gaps to address, including the understanding of epigenetic regulation of lactase expression and how lactose is metabolized by the gut microbiota, in order to achieve better LI detection and effective therapeutic interventions to reverse the potential health consequences of LI.
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Affiliation(s)
- Millie Porzi
- Laboratory of Human Nutrition, Department of Health Sciences and Technology, ETH Zurich, 8092 Zurich, Switzerland;
| | - Kathryn J. Burton-Pimentel
- Agroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003 Bern, Switzerland; (K.J.B.-P.); (B.W.)
| | - Barbara Walther
- Agroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003 Bern, Switzerland; (K.J.B.-P.); (B.W.)
| | - Guy Vergères
- Agroscope, Federal Department of Economic Affairs, Education and Research EAER, 3003 Bern, Switzerland; (K.J.B.-P.); (B.W.)
- Correspondence: ; Tel.: +41-58-463-8154
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8
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Li KJ, Brouwer-Brolsma EM, Burton-Pimentel KJ, Vergères G, Feskens EJM. A systematic review to identify biomarkers of intake for fermented food products. Genes Nutr 2021; 16:5. [PMID: 33882831 PMCID: PMC8058972 DOI: 10.1186/s12263-021-00686-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 03/30/2021] [Indexed: 12/22/2022]
Abstract
Background Fermented foods are ubiquitous in human diets and often lauded for their sensory, nutritious, and health-promoting qualities. However, precise associations between the intake of fermented foods and health have not been well-established. This is in part due to the limitations of current dietary assessment tools that rely on subjective reporting, making them prone to memory-related errors and reporting bias. The identification of food intake biomarkers (FIBs) bypasses this challenge by providing an objective measure of intake. Despite numerous studies reporting on FIBs for various types of fermented foods and drinks, unique biomarkers associated with the fermentation process (“fermentation-dependent” biomarkers) have not been well documented. We therefore conducted a comprehensive, systematic review of the literature to identify biomarkers of fermented foods commonly consumed in diets across the world. Results After title, abstract, and full-text screening, extraction of data from 301 articles resulted in an extensive list of compounds that were detected in human biofluids following the consumption of various fermented foods, with the majority of articles focusing on coffee (69), wine (69 articles), cocoa (62), beer (34), and bread (29). The identified compounds from all included papers were consolidated and sorted into FIBs proposed for a specific food, for a food group, or for the fermentation process. Alongside food-specific markers (e.g., trigonelline for coffee), and food-group markers (e.g., pentadecanoic acid for dairy intake), several fermentation-dependent markers were revealed. These comprised compounds related to the fermentation process of a particular food, such as mannitol (wine), 2-ethylmalate (beer), methionine (sourdough bread, cheese), theabrownins (tea), and gallic acid (tea, wine), while others were indicative of more general fermentation processes (e.g., ethanol from alcoholic fermentation, 3-phenyllactic acid from lactic fermentation). Conclusions Fermented foods comprise a heterogeneous group of foods. While many of the candidate FIBs identified were found to be non-specific, greater specificity may be observed when considering a combination of compounds identified for individual fermented foods, food groups, and from fermentation processes. Future studies that focus on how fermentation impacts the composition and nutritional quality of food substrates could help to identify novel biomarkers of fermented food intake. Supplementary Information The online version contains supplementary material available at 10.1186/s12263-021-00686-4.
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Affiliation(s)
- Katherine J Li
- Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, Netherlands. .,Food Microbial Systems Research Division, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Agroscope, Bern, Switzerland.
| | - Elske M Brouwer-Brolsma
- Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, Netherlands
| | - Kathryn J Burton-Pimentel
- Food Microbial Systems Research Division, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Agroscope, Bern, Switzerland
| | - Guy Vergères
- Food Microbial Systems Research Division, Federal Department of Economic Affairs, Education and Research (EAER), Federal Office for Agriculture (FOAG), Agroscope, Bern, Switzerland
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Department of Agrotechnology and Food Science, Wageningen University & Research, Wageningen, Netherlands
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9
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Burton-Pimentel KJ, Pimentel G, Hughes M, Michielsen CC, Fatima A, Vionnet N, Afman LA, Roche HM, Brennan L, Ibberson M, Vergères G. Discriminating Dietary Responses by Combining Transcriptomics and Metabolomics Data in Nutrition Intervention Studies. Mol Nutr Food Res 2020; 65:e2000647. [PMID: 33325641 PMCID: PMC8221028 DOI: 10.1002/mnfr.202000647] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 11/03/2020] [Indexed: 12/17/2022]
Abstract
Scope Combining different “omics” data types in a single, integrated analysis may better characterize the effects of diet on human health. Methods and results The performance of two data integration tools, similarity network fusion tool (SNFtool) and Data Integration Analysis for Biomarker discovery using Latent variable approaches for “Omics” (DIABLO; MixOmics), in discriminating responses to diet and metabolic phenotypes is investigated by combining transcriptomics and metabolomics datasets from three human intervention studies: a postprandial crossover study testing dairy foods (n = 7; study 1), a postprandial challenge study comparing obese and non‐obese subjects (n = 13; study 2); and an 8‐week parallel intervention study that assessed three diets with variable lipid content on fasting parameters (n = 39; study 3). In study 1, combining datasets using SNF or DIABLO significantly improve sample classification. For studies 2 and 3, the value of SNF integration depends on the dietary groups being compared, while DIABLO discriminates samples well but does not perform better than transcriptomic data alone. Conclusion The integration of associated “omics” datasets can help clarify the subtle signals observed in nutritional interventions. The performance of each integration tool is differently influenced by study design, size of the datasets, and sample size.
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Affiliation(s)
- Kathryn J Burton-Pimentel
- Federal Department of Economic Affairs, Education and Research EAER, Agroscope, Schwarzenburgstrasse 161, Bern, 3003, Switzerland
| | - Grégory Pimentel
- Federal Department of Economic Affairs, Education and Research EAER, Agroscope, Schwarzenburgstrasse 161, Bern, 3003, Switzerland
| | - Maria Hughes
- UCD Institute of Food and Health, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, D04 C7X2, Ireland.,Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, Belfield, Dublin 4, Ireland.,Nutrigenomics Research Group, UCD Conway Institute and UCD Institute of Food and Health, School of Public Health, Physiotherapy and Sports Science, Belfield, Dublin 4, D04 V1W8, Ireland
| | - Charlotte Cjr Michielsen
- Nutrition, Metabolism and Genomics Group, Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, Wageningen, 6700 AA, The Netherlands
| | - Attia Fatima
- UCD Institute of Food and Health, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, D04 C7X2, Ireland.,Nutrigenomics Research Group, UCD Conway Institute and UCD Institute of Food and Health, School of Public Health, Physiotherapy and Sports Science, Belfield, Dublin 4, D04 V1W8, Ireland
| | - Nathalie Vionnet
- Service of Endocrinology, Diabetes and Metabolism, Lausanne University Hospital, Lausanne, 1011, Switzerland
| | - Lydia A Afman
- Nutrition, Metabolism and Genomics Group, Division of Human Nutrition and Health, Wageningen University and Research, P.O. Box 17, Wageningen, 6700 AA, The Netherlands
| | - Helen M Roche
- UCD Institute of Food and Health, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, D04 C7X2, Ireland.,Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, Belfield, Dublin 4, Ireland.,Nutrigenomics Research Group, UCD Conway Institute and UCD Institute of Food and Health, School of Public Health, Physiotherapy and Sports Science, Belfield, Dublin 4, D04 V1W8, Ireland.,Institute for Global Food Security, Queens University Belfast, Belfast, BT7 1NN, United Kingdom
| | - Lorraine Brennan
- UCD Institute of Food & Health, School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, D04 V1W8, Ireland
| | - Mark Ibberson
- Vital IT, Quartier UNIL-Sorge, Lausanne, 1015, Switzerland.,Swiss Institute of Bioinformatics, Quartier UNIL-Sorge, Lausanne, 1015, Switzerland
| | - Guy Vergères
- Federal Department of Economic Affairs, Education and Research EAER, Agroscope, Schwarzenburgstrasse 161, Bern, 3003, Switzerland
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