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Bitencourt Brito P, Dalcin Teixeira M, Lehtonen Rodrigues de Souza R, Furtado-Alle L, Viater Tureck L. Olive oil increases the LIPC expression when associated with an Eastern pattern diet: An experimental study with Wistar rats. Gene 2023; 887:147738. [PMID: 37625559 DOI: 10.1016/j.gene.2023.147738] [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] [Received: 05/18/2023] [Revised: 08/05/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023]
Abstract
Some nutrigenomic effects of extra virgin olive oil (EVOO) are described in the literature; however, it is unknown whether its interaction with lipid-related genes is independent of the combined diet. In this sense, our objective was to investigate whether EVOO consumption associated with Western or Eastern human-based chow modulates the expression of APOE, APOB, and LIPC genes in rats. In view of this, the hypothesis is that the consumption of olive oil may not have the same nutrigenomic effects, depending on the diet consumed. For this study, 56 female rats were randomly divided into four groups: Western diet with EVOO (WS), Western-diet control (WC), Eastern-diet with EVOO (ES), and Eastern-diet control (EC). After 15 weeks, the animals were anesthetized with an intraperitoneal injection of chloral hydrate 15% (1.5 mL/kg) and euthanized by guillotining, and adipose tissue, liver, and blood were extracted. Triglycerides, cholesterol, and glucose levels were obtained following standard protocols, and relative gene expressions were calculated using the ΔΔCt method after quantitative PCR. The EVOO consumption was associated with LIPC gene expression increase in the liver only in animals fed the Eastern diet, compared to EC and WS animals. The EVOO consumption, combined with the Eastern diet, was associated with decreased triglyceride levels compared to WC. Although final weight and weight gain were similar between groups, WS animals had lower daily energy consumption. Conclusion: Given these results, the authors suggested that the EVOO nutrigenomic effects were restricted to an Eastern human-based diet.
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Affiliation(s)
- Priscila Bitencourt Brito
- Polymorphism and Linkage Laboratory, Department of Genetics, Federal University of Paraná, Curitiba, Paraná State, Brazil
| | - Mayza Dalcin Teixeira
- Polymorphism and Linkage Laboratory, Department of Genetics, Federal University of Paraná, Curitiba, Paraná State, Brazil
| | | | - Lupe Furtado-Alle
- Polymorphism and Linkage Laboratory, Department of Genetics, Federal University of Paraná, Curitiba, Paraná State, Brazil
| | - Luciane Viater Tureck
- Polymorphism and Linkage Laboratory, Department of Genetics, Federal University of Paraná, Curitiba, Paraná State, Brazil.
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2
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Metabotyping: a tool for identifying subgroups for tailored nutrition advice. Proc Nutr Soc 2023:1-12. [PMID: 36727494 DOI: 10.1017/s0029665123000058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Diet-related diseases are the leading cause of death globally and strategies to tailor effective nutrition advice are required. Personalised nutrition advice is increasingly recognised as more effective than population-level advice to improve dietary intake and health outcomes. A potential tool to deliver personalised nutrition advice is metabotyping which groups individuals into homogeneous subgroups (metabotypes) using metabolic profiles. In summary, metabotyping has been successfully employed in human nutrition research to identify subgroups of individuals with differential responses to dietary challenges and interventions and diet–disease associations. The suitability of metabotyping to identify clinically relevant subgroups is corroborated by other fields such as diabetes research where metabolic profiling has been intensely used to identify subgroups of patients that display patterns of disease progression and complications. However, there is a paucity of studies examining the efficacy of the approach to improve dietary intake and health parameters. While the application of metabotypes to tailor and deliver nutrition advice is very promising, further evidence from randomised controlled trials is necessary for further development and acceptance of the approach.
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3
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Vyas DS. Advances in Nutrigenomics and Applications in Public Health: A Recent Update. CURRENT RESEARCH IN NUTRITION AND FOOD SCIENCE JOURNAL 2022. [DOI: 10.12944/crnfsj.10.3.23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Nutrition research is achieving new paradigms through recent advances in the field of Nutrigenomics. The application of genomic principles for the identification of relationships between certain specific nutrients with genetic factors is termed “Nutrigenomics”. This knowledge is essential to understanding the risk factors behind diet-related chronic degenerative diseases, which further helps resolve the underlying mechanism of genetic predisposition. Advances in Sciences associated with the study of genes have assisted in developing a deep insight into genetic variants, and gene expression patterns to work out therapeutic responses toward chronic degenerative diseases associated with Public Health. To appraise recent advances in Nutrigenomics with its application in Public health several databases including Pub Med, Google Scholar, Medline etc were investigated in detail. A total of 72 relevant peer-reviewed journal articles were included in this review paper. Nutrigenomics has an important role in comprehending how homeostatic control is maintained and the way metabolic pathways are influenced by nutrient intake. The knowledge of Nutrigenomics helps in working out personalized nutrition strategies for both prevention and management of the diseased situation. The present review article aims to investigate and present a piece of in-depth information about the latest Advances in Nutrigenomics and its application in public health.
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Affiliation(s)
- Dr Swati Vyas
- Department of Home Science, IIS deemed to be a University, Jaipur, and Rajasthan, India
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4
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KIANI AYSHAKARIM, BONETTI GABRIELE, DONATO KEVIN, KAFTALLI JURGEN, HERBST KARENL, STUPPIA LIBORIO, FIORETTI FRANCESCO, NODARI SAVINA, PERRONE MARCO, CHIURAZZI PIETRO, BELLINATO FRANCESCO, GISONDI PAOLO, BERTELLI MATTEO. Polymorphisms, diet and nutrigenomics. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2022; 63:E125-E141. [PMID: 36479483 PMCID: PMC9710387 DOI: 10.15167/2421-4248/jpmh2022.63.2s3.2754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Every human being possesses an exclusive nutritional blueprint inside their genes. Bioactive food components and nutrients affect the expression of such genes. Nutrigenomics is the science that analyzes gene-nutrient interactions (nutrigenetics), which can lead to the development of personalized nutritional recommendations to maintain optimal health and prevent disease. Genomic diversity among various ethnic groups might affect nutrients bioavailability as well as their metabolism. Nutrigenomics combines different branches of science including nutrition, bioinformatics, genomics, molecular biology, molecular medicine, and epidemiology. Genes regulate intake and metabolism of different nutrients, while nutrients positively or negatively influence the expression of a number of genes; testing of specific genetic polymorphisms may therefore become a useful tool to manage weight loss and to fully understand gene-nutrient interactions. Indeed, several approaches are used to study gene-nutrient interactions: epigenetics, the study of genome modification not related to changes in nucleotide sequence; transcriptomics, the study of tissue-specific and time-specific RNA transcripts; proteomics, the study of proteins involved in biological processes; and metabolomics, the study of changes of primary and secondary metabolites in body fluids and tissues. Hence, the use of nutrigenomics to improve and optimize a healthy, balanced diet in clinical settings could be an effective approach for long-term lifestyle changes that might lead to consistent weight loss and improve quality of life.
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Affiliation(s)
| | - GABRIELE BONETTI
- MAGI’S LAB, Rovereto (TN), Italy
- Correspondence: Gabriele Bonetti, MAGI’S LAB, Rovereto (TN), 38068, Italy. E-mail:
| | | | | | - KAREN L. HERBST
- Total Lipedema Care, Beverly Hills California and Tucson Arizona, USA
| | - LIBORIO STUPPIA
- Department of Psychological, Health and Territorial Sciences, School of Medicine and Health Sciences, “G. d’Annunzio” University, Chieti, Italy
| | - FRANCESCO FIORETTI
- Department of Cardiology, University of Brescia and ASST “Spedali Civili” Hospital, Brescia, Italy
| | - SAVINA NODARI
- Department of Cardiology, University of Brescia and ASST “Spedali Civili” Hospital, Brescia, Italy
| | - MARCO PERRONE
- Department of Cardiology and CardioLab, University of Rome Tor Vergata, Rome, Italy
| | - PIETRO CHIURAZZI
- Istituto di Medicina Genomica, Università Cattolica del Sacro Cuore, Rome, Italy
- UOC Genetica Medica, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Rome, Italy
| | - FRANCESCO BELLINATO
- Section of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy
| | - PAOLO GISONDI
- Section of Dermatology and Venereology, Department of Medicine, University of Verona, Verona, Italy
| | - MATTEO BERTELLI
- MAGI EUREGIO, Bolzano, Italy
- MAGI’S LAB, Rovereto (TN), Italy
- MAGISNAT, Peachtree Corners (GA), USA
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5
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Kaput J. Developing the Pathway to Personalized Health: The Potential of N-of-1 Studies for Personalizing Nutrition. J Nutr 2021; 151:2863-2864. [PMID: 34293136 DOI: 10.1093/jn/nxab243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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6
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Abstract
PURPOSE OF REVIEW The purposes of the present review are to examine the emergence of nutrigenetics/nutrigenomics, to analyze the relationship between nutrigenetics and nutrigenomics, to explore the impact of nutrigenetics/nutrigenomics on healthcare with respect to noncommunicable diseases, and to discuss the challenges facing the implementation of nutrigenetics/nutrigenomics within healthcare. RECENT FINDINGS Nutrigenetics/nutrigenomics is certainly a thriving specialty given the sharp increase of publications over the last two decades. The relationship between nutrigenetics and nutrigenomics is proposed as complementary. The current clinical and research literature supports the significant impact nutrigenetics/nutrigenomics has on treating and preventing noncommunicable diseases. Although several challenges face the implementation of nutrigenetics/nutrigenomics into healthcare, they are not insurmountable. Nutrigenetics/nutrigenomics plays an important role not only in treating diseases and illnesses but also in promoting health and wellness through both basic and clinical research; and it is critical for the future of both personalized nutrition and precision healthcare.
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Affiliation(s)
- James A Marcum
- Institute of Biomedical Studies, Baylor University, Waco, TX, 76798, USA.
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7
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Naureen Z, Miggiano GAD, Aquilanti B, Velluti V, Matera G, Gagliardi L, Zulian A, Romanelli R, Bertelli M. Genetic test for the prescription of diets in support of physical activity. ACTA BIO-MEDICA : ATENEI PARMENSIS 2020; 91:e2020011. [PMID: 33170161 PMCID: PMC8023120 DOI: 10.23750/abm.v91i13-s.10584] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/17/2020] [Indexed: 01/03/2023]
Abstract
Owing to the fields of nutrigenetics and nutrigenomics today we can think of devising approaches to optimize health, delay onset of diseases and reduce its severity according to our genetic blue print. However this requires a deep understanding of nutritional impact on expression of genes that may result in a specific phenotype. The extensive research and observational studies during last two decades reporting interactions between genes, diet and physical activity suggest a cross talk between various genetic and environmental factors and lifestyle interventions. Although considerable efforts have been made in unraveling the mechanisms of gene-diet interactions the scientific evidences behind developing commercial genetic tests for providing personalized nutrition recommendations are still scarce. In this scenario the current mini-review aims to provide useful insights into salient feature of nutrition based genetic research and its commercial application and the ethical issue and concerns related to its outcome.
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Affiliation(s)
- Zakira Naureen
- Department of Biological Sciences and Chemistry, College of Arts and Sciences, University of Nizwa, Nizwa, Oman.
| | | | - Barbara Aquilanti
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Valeria Velluti
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Giuseppina Matera
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | - Lucilla Gagliardi
- UOC Nutrizione Clinica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
| | | | | | - Matteo Bertelli
- MAGI'S LAB, Rovereto (TN), Italy; MAGI EUREGIO, Bolzano, Italy; EBTNA-LAB, Rovereto (TN), Italy.
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8
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Oliveri S, Marton G, Vergani L, Cutica I, Gorini A, Spinella F, Pravettoni G. Genetic Testing Consumers in Italy: A Preliminary Investigation of the Socio-Demographic Profile, Health-Related Habits, and Decision Purposes. Front Public Health 2020; 8:511. [PMID: 33134235 PMCID: PMC7578342 DOI: 10.3389/fpubh.2020.00511] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 08/07/2020] [Indexed: 12/23/2022] Open
Abstract
Aim of the study: Genetic testing is becoming increasingly common in clinical practice and health management; nonetheless, little is known about how the population approaches genetic services through private companies. Our study aims to describe socio-demographic aspects, health-related habits, and overall beliefs and knowledge about genetic risk and testing in a population of Italian citizens who decided to undergo a genetic examination through a private genetic company. Study design: A sample of 152 clients from an Italian private genetic company completed an ad-hoc survey from September 2016 to February 2018, addressing socio-demographic data, health habits, psycho-physic condition, perceived utility of genetic results, decision purposes about data sharing, and behavioral changes after results. Results: Participants (mean age 42.4) were predominantly female (82.2%) and were overall well-educated. Their main source of information were physicians (77%), and 41.1% entrusted the management of results to the same. Thirty-eight percentage underwent genetic analysis for cancer predisposition, 31.3% for fertility problems, 24% for dietary or intolerance issues in the period of enrolment. More than half of them (62.7%) reported a family history of the disease, and overall 69% had a current or past experience with a disease. Clients perceived the genetic screening as useful to adopt behaviors that may prevent disease onset (37.7%), to know their “real health status” (27.4%), and to adopt health-related behaviors (23.3%). 62.8% claimed they were motivated to change behaviors after results (healthier diet, practice exercise, medical checks), and they wanted to share results with their physician and family members. Discussion/Conclusion: The overview of consumers' profiles in Italy and other European countries can contribute to tailoring and regulating genetic services in a way that could be efficient in terms of healthy choices, behaviors, and health resource expenditures for the general public.
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Affiliation(s)
- Serena Oliveri
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giulia Marton
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Laura Vergani
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Ilaria Cutica
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Alessandra Gorini
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | | | - Gabriella Pravettoni
- Applied Research Division for Cognitive and Psychological Science, European Institute of Oncology, Istituto Europeo di Oncologia, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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9
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Melocchi A, Uboldi M, Parietti F, Cerea M, Foppoli A, Palugan L, Gazzaniga A, Maroni A, Zema L. Lego-Inspired Capsular Devices for the Development of Personalized Dietary Supplements: Proof of Concept With Multimodal Release of Caffeine. J Pharm Sci 2020; 109:1990-1999. [PMID: 32112824 DOI: 10.1016/j.xphs.2020.02.013] [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] [Received: 09/18/2019] [Revised: 02/03/2020] [Accepted: 02/18/2020] [Indexed: 12/19/2022]
Abstract
Dietary supplement companies have recently started to focus on the personalization of products and the improvement of the relevant performance. In this respect, a versatile, easy-to-handle capsular delivery platform with customizable content and release kinetics was here proposed and evaluated after filling with caffeine as a model dietary ingredient. In particular, capsular devices comprising 1 to 3 independent inner compartments were attained by Lego-inspired assembly of matching modular units with different wall compositions, manufactured by injection molding and fused deposition modeling 3D printing. Accordingly, one-, two- and three-pulse release profiles of the dietary ingredient were obtained from differently assembled devices following the breakup of the compartments occurring promptly (immediate-release), on pH change (delayed-release) or after tunable lag times (pulsatile-release). The latter release mode would enable the onset of the stimulating effect of caffeine at different times of the day after a single administration when convenient. The performance of each individual compartment only depended on the composition (i.e., promptly soluble, swellable/soluble or enteric soluble polymers) and thickness of its own wall, while it was not affected by the composition and number of joined modular units. Moreover, the delivery platform was extended to include an external gastroresistant shell enclosing previously assembled devices.
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Affiliation(s)
- Alice Melocchi
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy; Multiply Labs, 1760 Cesar Chavez Street Unit D, 94124 San Francisco, California 94124
| | - Marco Uboldi
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy
| | - Federico Parietti
- Multiply Labs, 1760 Cesar Chavez Street Unit D, 94124 San Francisco, California 94124
| | - Matteo Cerea
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy
| | - Anastasia Foppoli
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy
| | - Luca Palugan
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy
| | - Andrea Gazzaniga
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy
| | - Alessandra Maroni
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy.
| | - Lucia Zema
- Sezione di Tecnologia e Legislazione Farmaceutiche "Maria Edvige Sangalli", Dipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, via G. Colombo 71, Milan 20133, Italy
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10
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Riedl A, Hillesheim E, Wawro N, Meisinger C, Peters A, Roden M, Kronenberg F, Herder C, Rathmann W, Völzke H, Reincke M, Koenig W, Wallaschofski H, Daniel H, Hauner H, Brennan L, Linseisen J. Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study. Mol Nutr Food Res 2020; 64:e1900918. [PMID: 32048458 DOI: 10.1002/mnfr.201900918] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 01/13/2020] [Indexed: 11/11/2022]
Abstract
SCOPE Previous work identified three metabolically homogeneous subgroups of individuals ("metabotypes") using k-means cluster analysis based on fasting serum levels of triacylglycerol, total cholesterol, HDL cholesterol, and glucose. The aim is to reproduce these findings and describe metabotype groups by dietary habits and by incident disease occurrence. METHODS AND RESULTS 1744 participants from the KORA F4 study and 2221 participants from the KORA FF4 study are assigned to the three metabotype clusters previously identified by minimizing the Euclidean distances. In both KORA studies, the assignment of participants results in three metabolically distinct clusters, with cluster 3 representing the group of participants with the most unfavorable metabolic characteristics. Individuals of cluster 3 are further characterized by the highest incident disease occurrence during follow-up; they also reveal the most unfavorable diet with significantly lowest intakes of vegetables, dairy products, and fibers, and highest intakes of total, red, and processed meat. CONCLUSION The three metabotypes originally identified in an Irish population are successfully reproduced. In addition to this validation approach, the observed differences in disease incidence across metabotypes represent an important new finding that strongly supports the metabotyping approach as a tool for risk stratification.
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Affiliation(s)
- Anna Riedl
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T, Neusässer Str. 47, 86156, Augsburg, Germany
| | - Elaine Hillesheim
- Institute of Food and Health, UCD School of Agriculture and Food Science, UCD, Stillorgan Rd, Belfield, Dublin, 4, Ireland
| | - Nina Wawro
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T, Neusässer Str. 47, 86156, Augsburg, Germany
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T, Neusässer Str. 47, 86156, Augsburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD e.V.), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD e.V.), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Schöpfstr. 41, 6020, Innsbruck, Austria
| | - Christian Herder
- German Center for Diabetes Research (DZD e.V.), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD e.V.), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Henry Völzke
- German Center for Diabetes Research (DZD e.V.), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8a & 9, 80336, Munich, Germany.,Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Ziemssenstr. 1, 80336, Munich, Germany
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Pettenkoferstr. 8a & 9, 80336, Munich, Germany.,Deutsches Herzzentrum München, Technische Universität München, Lazarettstr. 36, 80636, Munich, Germany.,Institute of Epidemiology and Medical Biometry, University of Ulm, Helmholtzstr. 22, 89081, Ulm, Germany
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Str., 17489, Greifswald, Germany
| | - Hannelore Daniel
- Chair of Nutritional Physiology, Technical University of Munich, Gregor-Mendel-Str. 2, 85354, Freising-Weihenstephan, Germany
| | - Hans Hauner
- Else Kröner-Fresenius Centre for Nutritional Medicine, Technical University of Munich, Gregor-Mendel-Str. 2, 85354, Freising-Weihenstephan, Germany.,ZIEL - Institute for Food and Health, Technical University of Munich, Weihenstephaner Berg 1, 85354, Freising, Germany.,Institute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Georg-Brauchle-Ring 62, 80992, Munich, Germany
| | - Lorraine Brennan
- Institute of Food and Health, UCD School of Agriculture and Food Science, UCD, Stillorgan Rd, Belfield, Dublin, 4, Ireland
| | - Jakob Linseisen
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T, Neusässer Str. 47, 86156, Augsburg, Germany.,ZIEL - Institute for Food and Health, Technical University of Munich, Weihenstephaner Berg 1, 85354, Freising, Germany
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11
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Alam I, Ali F, Zeb F, Almajwal A, Fatima S, Wu X. Relationship of nutrigenomics and aging: Involvement of DNA methylation. JOURNAL OF NUTRITION & INTERMEDIARY METABOLISM 2019. [DOI: 10.1016/j.jnim.2019.100098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
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12
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Modifying effect of metabotype on diet-diabetes associations. Eur J Nutr 2019; 59:1357-1369. [PMID: 31089867 PMCID: PMC7230059 DOI: 10.1007/s00394-019-01988-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 05/05/2019] [Indexed: 12/18/2022]
Abstract
Purpose Inter-individual metabolic differences may be a reason for previously inconsistent results in diet–diabetes associations. We aimed to investigate associations between dietary intake and diabetes for metabolically homogeneous subgroups (‘metabotypes’) in a large cross-sectional study. Methods We used data of 1517 adults aged 38–87 years from the German population-based KORA FF4 study (2013/2014). Dietary intake was estimated based on the combination of a food frequency questionnaire and multiple 24-h food lists. Glucose tolerance status was classified based on an oral glucose tolerance test in participants without a previous diabetes diagnosis using American Diabetes Association criteria. Logistic regression was applied to examine the associations between dietary intake and diabetes for two distinct metabotypes, which were identified based on 16 biochemical and anthropometric parameters. Results A low intake of fruits and a high intake of total meat, processed meat and sugar-sweetened beverages (SSB) were significantly associated with diabetes in the total study population. Stratified by metabotype, associations with diabetes remained significant for intake of total meat (OR 1.67, 95% CI 1.04–2.67) and processed meat (OR 2.23, 95% CI 1.24–4.04) in the metabotypes with rather favorable metabolic characteristics, and for intake of fruits (OR 0.83, 95% CI 0.68–0.99) and SSB (OR:1.21, 95% CI 1.09–1.35) in the more unfavorable metabotype. However, only the association between SSB intake and diabetes differed significantly by metabotype (p value for interaction = 0.01). Conclusions Our findings suggest an influence of metabolic characteristics on diet–diabetes associations, which may help to explain inconsistent previous results. The causality of the observed associations needs to be confirmed in prospective and intervention studies. Electronic supplementary material The online version of this article (10.1007/s00394-019-01988-5) contains supplementary material, which is available to authorized users.
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13
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Abstract
Nutrigenomics studies how environmental factors, such as food intake and lifestyle, influence the expression of the genome. Vitamin D3 represents a master example of nutrigenomics, since via its metabolite 1α,25-dihydroxyvitamin D3, which binds with high-affinity to the vitamin D receptor, the secosteroid directly affects the epigenome and transcriptome at thousands of loci within the human genome. Vitamin D is important for both cellular metabolism and immunity, as it controls calcium homeostasis and modulates the response of the innate and adaptive immune system. At sufficient UV-B exposure, humans can synthesize vitamin D3 endogenously in their skin, but today’s lifestyle often makes the molecule a true vitamin and micronutrient that needs to be taken up by diet or supplementation with pills. The individual’s molecular response to vitamin D requires personalized supplementation with vitamin D3, in order to obtain optimized clinical benefits in the prevention of osteoporosis, sarcopenia, autoimmune diseases, and possibly different types of cancer. The importance of endogenous synthesis of vitamin D3 created an evolutionary pressure for reduced skin pigmentation, when, during the past 50,000 years, modern humans migrated from Africa towards Asia and Europe. This review will discuss different aspects of how vitamin D interacts with the human genome, focusing on nutritional epigenomics in context of immune responses. This should lead to a better understanding of the clinical benefits of vitamin D.
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Affiliation(s)
- Carsten Carlberg
- School of Medicine, Institute of Biomedicine, University of Eastern Finland, FI-70211 Kuopio, Finland.
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14
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Ruz M, Solomons NW. A Vision for Nutritional Research for the Latin American Region. Food Nutr Bull 2019; 40:14-25. [PMID: 30827120 DOI: 10.1177/0379572119832780] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Manuel Ruz
- 1 Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Noel W Solomons
- 2 Center for Studies of Sensory Impairment, Aging and Metabolism (CeSSIAM), Guatemala City, Guatemala
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15
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Nasir A, Bullo MMH, Ahmed Z, Imtiaz A, Yaqoob E, Jadoon M, Ahmed H, Afreen A, Yaqoob S. Nutrigenomics: Epigenetics and cancer prevention: A comprehensive review. Crit Rev Food Sci Nutr 2019; 60:1375-1387. [PMID: 30729798 DOI: 10.1080/10408398.2019.1571480] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Due to change in lifestyle and food habits, people are more at risk of diet-related diseases and cancers. It is also established that dietary modifications significantly reduce the risk of diseases. Nutrigenomics is relatively fresh discipline, but possess an enormous potential that can apply for prevention and management of certain carcinomas and diseases. This review enables us to generate useful information for scientists and health professionals regarding the role of Nutrigenomics in the prevention of diet and lifestyle-related diseases like cancer. It influences health conditions of individuals and susceptibility of disease by defining the metabolic response and gene expression. Epigenetic modifications can perform a significant role in disease occurrence and pathogenesis. DNA methylation and chromatin remodeling are the most common epigenetic mechanisms. Omega 3 fatty acids are the best example of nutrients and gene interaction not involving DNA methylation while certain bioactive food compounds have a proven role in cancer prevention through an epigenetic mechanism. Dietary polyphenols substantially take part in prevention of oral, breast, skin, esophageal, colorectal, prostate, pancreatic and lung cancers. Moreover, minerals and vitamins involve regulatory processes. Zinc, Selenium and folate involve in DNA repairing process have anticancer properties. Consumption of multivitamins prevents methylation of cancer cells.
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Affiliation(s)
- Ayesha Nasir
- Department of Environmental Design Health & Nutritional Sciences, Allama Iqbal Open University, Islamabad, Pakistan.,Maroof international Hospital, Islamabad, Pakistan
| | - Mir M Hassan Bullo
- Department of Environmental Design Health & Nutritional Sciences, Allama Iqbal Open University, Islamabad, Pakistan.,Federal General Hospital, Islamabad, Pakistan
| | - Zaheer Ahmed
- Department of Environmental Design Health & Nutritional Sciences, Allama Iqbal Open University, Islamabad, Pakistan
| | - Aysha Imtiaz
- National Institute of Food Science and Technology, University of Agriculture, Faisalabad, Pakistan
| | - Eesha Yaqoob
- Department of Social Sciences, Peer Mehar Ali shah Arid Agriculture University, Rawalpindi, Pakistan
| | - Mahpara Jadoon
- Department of Environmental Design Health & Nutritional Sciences, Allama Iqbal Open University, Islamabad, Pakistan
| | - Hajra Ahmed
- Department of Environmental Design Health & Nutritional Sciences, Allama Iqbal Open University, Islamabad, Pakistan
| | - Asma Afreen
- Department of Environmental Design Health & Nutritional Sciences, Allama Iqbal Open University, Islamabad, Pakistan
| | - Sanabil Yaqoob
- College of food science and engineering, Jilin Agricultural University, Changchun, China
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16
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Riedl A, Wawro N, Gieger C, Meisinger C, Peters A, Roden M, Kronenberg F, Herder C, Rathmann W, Völzke H, Reincke M, Koenig W, Wallaschofski H, Hauner H, Daniel H, Linseisen J. Identification of Comprehensive Metabotypes Associated with Cardiometabolic Diseases in the Population-Based KORA Study. Mol Nutr Food Res 2018; 62:e1800117. [PMID: 29939495 DOI: 10.1002/mnfr.201800117] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 05/24/2018] [Indexed: 12/17/2022]
Abstract
SCOPE "Metabotyping" describes the grouping of metabolically similar individuals. We aimed to identify valid metabotypes in a large cohort for targeted dietary intervention, for example, for disease prevention. METHODS AND RESULTS We grouped 1729 adults aged 32-77 years of the German population-based KORA F4 study (2006-2008) using k-means cluster analysis based on 34 biochemical and anthropometric parameters. We identified three metabolically distinct clusters showing significantly different biochemical parameter concentrations. Cardiometabolic disease status was determined at baseline in the F4 study and at the 7 year follow-up termed FF4 (2013/2014) to compare disease prevalence and incidence between clusters. Cluster 3 showed the most unfavorable marker profile with the highest prevalence of cardiometabolic diseases. Also, disease incidence was higher in cluster 3 compared to clusters 2 and 1, respectively, for hypertension (41.2%/25.3%/18.2%), type 2 diabetes (28.3%/5.1%/2.0%), hyperuricemia/gout (10.8%/2.3%/0.7%), dyslipidemia (19.2%/18.3%/5.6%), all metabolic (54.5%/36.8%/19.7%), and all cardiovascular (6.3%/5.5%/2.3%) diseases together. CONCLUSION Cluster analysis based on an extensive set of biochemical and anthropometric parameters allows the identification of comprehensive metabotypes that were distinctly different in cardiometabolic disease occurrence. As a next step, targeted dietary strategies should be developed with the goal of preventing diseases, especially in cluster 3.
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Affiliation(s)
- Anna Riedl
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T (Universitäres Zentrum für Gesundheitswissenschaften am Klinikum Augsburg), Neusässer Str. 47, 86156, Augsburg, Germany
| | - Nina Wawro
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T (Universitäres Zentrum für Gesundheitswissenschaften am Klinikum Augsburg), Neusässer Str. 47, 86156, Augsburg, Germany
| | - Christian Gieger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Christa Meisinger
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T (Universitäres Zentrum für Gesundheitswissenschaften am Klinikum Augsburg), Neusässer Str. 47, 86156, Augsburg, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany
| | - Michael Roden
- German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Medical University of Innsbruck, Schöpfstr. 41, 6020, Innsbruck, Austria
| | - Christian Herder
- German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Auf'm Hennekamp 65, 40225, Düsseldorf, Germany
| | - Henry Völzke
- German Center for Diabetes Research, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,DZHK - German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Pettenkoferstr. 8a & 9, 80336, Munich, Germany.,Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Str. 48, 17475, Greifswald, Germany
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Ziemssenstr. 1, 81377, Munich, Germany
| | - Wolfgang Koenig
- DZHK - German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, Pettenkoferstr. 8a & 9, 80336, Munich, Germany.,Deutsches Herzzentrum München, Technische Universität München, Lazarettstr. 36, 80636, Munich, Germany.,Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany
| | - Henri Wallaschofski
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Str., 17489, Greifswald, Germany
| | - Hans Hauner
- Else Kröner-Fresenius Centre for Nutritional Medicine, Technical University of Munich, Gregor-Mendel-Str. 2, 85354, Freising-Weihenstephan, Germany.,ZIEL - Institute for Food and Health, Technical University of Munich, Weihenstephaner Berg 1, 85354, Freising, Germany.,Institute of Nutritional Medicine, Klinikum rechts der Isar, Technical University of Munich, Uptown München Campus D, Georg-Brauchle-Ring 60/62, 80992, Munich, Germany.,Technical University of Munich, Gregor-Mendel-Str. 2, 85354, Freising-Weihenstephan, Germany
| | - Hannelore Daniel
- Technical University of Munich, Gregor-Mendel-Str. 2, 85354, Freising-Weihenstephan, Germany
| | - Jakob Linseisen
- Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, at UNIKA-T (Universitäres Zentrum für Gesundheitswissenschaften am Klinikum Augsburg), Neusässer Str. 47, 86156, Augsburg, Germany.,ZIEL - Institute for Food and Health, Technical University of Munich, Weihenstephaner Berg 1, 85354, Freising, Germany
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17
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Reynés B, Priego T, Cifre M, Oliver P, Palou A. Peripheral Blood Cells, a Transcriptomic Tool in Nutrigenomic and Obesity Studies: Current State of the Art. Compr Rev Food Sci Food Saf 2018; 17:1006-1020. [DOI: 10.1111/1541-4337.12363] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 04/13/2018] [Accepted: 04/14/2018] [Indexed: 12/11/2022]
Affiliation(s)
- Bàrbara Reynés
- Laboratory of Molecular Biology, Nutrition and Biotechnology; Univ. de les Illes Balears; Palma Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN); Madrid Spain
- Inst. d'Investigació Sanitària Illes Balears (IdISBa); Palma Spain
| | - Teresa Priego
- Dept. of Physiology, Faculty of Medicine; Univ. Complutense de Madrid; Madrid Spain
| | - Margalida Cifre
- Laboratory of Molecular Biology, Nutrition and Biotechnology; Univ. de les Illes Balears; Palma Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN); Madrid Spain
| | - Paula Oliver
- Laboratory of Molecular Biology, Nutrition and Biotechnology; Univ. de les Illes Balears; Palma Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN); Madrid Spain
- Inst. d'Investigació Sanitària Illes Balears (IdISBa); Palma Spain
| | - Andreu Palou
- Laboratory of Molecular Biology, Nutrition and Biotechnology; Univ. de les Illes Balears; Palma Spain
- CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN); Madrid Spain
- Inst. d'Investigació Sanitària Illes Balears (IdISBa); Palma Spain
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18
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Grimaldi KA, van Ommen B, Ordovas JM, Parnell LD, Mathers JC, Bendik I, Brennan L, Celis-Morales C, Cirillo E, Daniel H, de Kok B, El-Sohemy A, Fairweather-Tait SJ, Fallaize R, Fenech M, Ferguson LR, Gibney ER, Gibney M, Gjelstad IMF, Kaput J, Karlsen AS, Kolossa S, Lovegrove J, Macready AL, Marsaux CFM, Alfredo Martinez J, Milagro F, Navas-Carretero S, Roche HM, Saris WHM, Traczyk I, van Kranen H, Verschuren L, Virgili F, Weber P, Bouwman J. Proposed guidelines to evaluate scientific validity and evidence for genotype-based dietary advice. GENES & NUTRITION 2017; 12:35. [PMID: 29270237 PMCID: PMC5732517 DOI: 10.1186/s12263-017-0584-0] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 10/09/2017] [Indexed: 12/13/2022]
Abstract
Nutrigenetic research examines the effects of inter-individual differences in genotype on responses to nutrients and other food components, in the context of health and of nutrient requirements. A practical application of nutrigenetics is the use of personal genetic information to guide recommendations for dietary choices that are more efficacious at the individual or genetic subgroup level relative to generic dietary advice. Nutrigenetics is unregulated, with no defined standards, beyond some commercially adopted codes of practice. Only a few official nutrition-related professional bodies have embraced the subject, and, consequently, there is a lack of educational resources or guidance for implementation of the outcomes of nutrigenetic research. To avoid misuse and to protect the public, personalised nutrigenetic advice and information should be based on clear evidence of validity grounded in a careful and defensible interpretation of outcomes from nutrigenetic research studies. Evidence requirements are clearly stated and assessed within the context of state-of-the-art 'evidence-based nutrition'. We have developed and present here a draft framework that can be used to assess the strength of the evidence for scientific validity of nutrigenetic knowledge and whether 'actionable'. In addition, we propose that this framework be used as the basis for developing transparent and scientifically sound advice to the public based on nutrigenetic tests. We feel that although this area is still in its infancy, minimal guidelines are required. Though these guidelines are based on semi-quantitative data, they should stimulate debate on their utility. This framework will be revised biennially, as knowledge on the subject increases.
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Affiliation(s)
| | | | - Jose M. Ordovas
- JMUSDA-Human Nutrition Research Center on Aging at Tufts University, Boston, USA
- IMDEA Alimentacion, Madrid, Spain
| | - Laurence D. Parnell
- Agriculture Research Service, USDA, Human Nutrition Research Center on Aging, Boston, MA 02111 USA
| | - John C. Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL UK
| | - Igor Bendik
- DSM Nutritional Products, Kaiseraugst, Switzerland
| | - Lorraine Brennan
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Institute of Cellular Medicine, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL UK
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Science, University of Glasgow, Glasgow, G12 8TA UK
| | | | - Hannelore Daniel
- Nutritional Physiology, Technische Universität München, 85350 Freising, Germany
| | | | - Ahmed El-Sohemy
- Department of Nutritional Sciences, University of Toronto, 150 College Street, 3rd Floor, Toronto, ON M5S 3E2 Canada
| | | | - Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, University of Reading, Whiteknights, PO Box 226, Reading, Berkshire RG6 6AP UK
| | - Michael Fenech
- CSIRO Health and Biosecurity, Gate 13, Kintore Avenue, Adelaide, SA 5000 Australia
| | - Lynnette R. Ferguson
- ACSRC and Discipline of Nutrition and Dietetics, Faculty of Medical and Health Sciences, University of Auckland, Private Bag 92019, Auckland, 1184 New Zealand
| | - Eileen R. Gibney
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland
| | - Mike Gibney
- UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland
| | - Ingrid M. F. Gjelstad
- Department of Nutrition, Universitetet i Oslo, PO Box 1046, Blindern, N-0316 Oslo, Norway
| | - Jim Kaput
- Vydiant Inc, 2330 Gold Meadow Way, Gold River, 95670 CA USA
| | - Anette S. Karlsen
- Department of Nutrition, Universitetet i Oslo, PO Box 1046, Blindern, N-0316 Oslo, Norway
| | - Silvia Kolossa
- Nutritional Physiology, Technische Universität München, 85350 Freising, Germany
| | - Julie Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, University of Reading, Whiteknights, PO Box 226, Reading, Berkshire RG6 6AP UK
| | - Anna L. Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Research, Department of Food and Nutritional Sciences, University of Reading, Whiteknights, PO Box 226, Reading, Berkshire RG6 6AP UK
| | - Cyril F. M. Marsaux
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre + (MUMC+), Maastricht, The Netherlands
| | - J. Alfredo Martinez
- IMDEA Alimentacion, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Fermin Milagro
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- CIBERobn, Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Helen M. Roche
- Nutrigenomics Research Group, UCD Institute of Food and Health/UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Wim H. M. Saris
- Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre + (MUMC+), Maastricht, The Netherlands
| | - Iwona Traczyk
- Department of Human Nutrition, Faculty on Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | - Henk van Kranen
- Institute for Public Health Genomics (IPHG), Department of Genetics and Cell Biology, Faculty of Health, Medicine & Life Sciences, University of Maastricht, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands
| | | | - Fabio Virgili
- Council for Agricultural Research and Economics, Food and Nutrition Research Centre, (CREA - AN), via Ardeatina 546, 00178 Rome, Italy
| | - Peter Weber
- DSM Nutritional Products, Kaiseraugst, Switzerland
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Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study. Br J Nutr 2017; 118:561-569. [PMID: 29056103 DOI: 10.1017/s0007114517002069] [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] [Indexed: 01/24/2023]
Abstract
Traditionally, personalised nutrition was delivered at an individual level. However, the concept of delivering tailored dietary advice at a group level through the identification of metabotypes or groups of metabolically similar individuals has emerged. Although this approach to personalised nutrition looks promising, further work is needed to examine this concept across a wider population group. Therefore, the objectives of this study are to: (1) identify metabotypes in a European population and (2) develop targeted dietary advice solutions for these metabotypes. Using data from the Food4Me study (n 1607), k-means cluster analysis revealed the presence of three metabolically distinct clusters based on twenty-seven metabolic markers including cholesterol, individual fatty acids and carotenoids. Cluster 2 was identified as a metabolically healthy metabotype as these individuals had the highest Omega-3 Index (6·56 (sd 1·29) %), carotenoids (2·15 (sd 0·71) µm) and lowest total saturated fat levels. On the basis of its fatty acid profile, cluster 1 was characterised as a metabolically unhealthy cluster. Targeted dietary advice solutions were developed per cluster using a decision tree approach. Testing of the approach was performed by comparison with the personalised dietary advice, delivered by nutritionists to Food4Me study participants (n 180). Excellent agreement was observed between the targeted and individualised approaches with an average match of 82 % at the level of delivery of the same dietary message. Future work should ascertain whether this proposed method could be utilised in a healthcare setting, for the rapid and efficient delivery of tailored dietary advice solutions.
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20
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Abstract
AbstractMetabolic diversity leads to differences in nutrient requirements and responses to diet and medication between individuals. Using the concept of metabotyping – that is, grouping metabolically similar individuals – tailored and more efficient recommendations may be achieved. The aim of this study was to review the current literature on metabotyping and to explore its potential for better targeted dietary intervention in subjects with and without metabolic diseases. A comprehensive literature search was performed in PubMed, Google and Google Scholar to find relevant articles on metabotyping in humans including healthy individuals, population-based samples and patients with chronic metabolic diseases. A total of thirty-four research articles on human studies were identified, which established more homogeneous subgroups of individuals using statistical methods for analysing metabolic data. Differences between studies were found with respect to the samples/populations studied, the clustering variables used, the statistical methods applied and the metabotypes defined. According to the number and type of the selected clustering variables, the definitions of metabotypes differed substantially; they ranged between general fasting metabotypes, more specific fasting parameter subgroups like plasma lipoprotein or fatty acid clusters and response groups to defined meal challenges or dietary interventions. This demonstrates that the term ‘metabotype’ has a subjective usage, calling for a formalised definition. In conclusion, this literature review shows that metabotyping can help identify subgroups of individuals responding differently to defined nutritional interventions. Targeted recommendations may be given at such metabotype group levels. Future studies should develop and validate definitions of generally valid metabotypes by exploiting the increasingly available metabolomics data sets.
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21
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Abstract
It is postulated that knowledge of genotype may be more powerful than other types of personalised information in terms of motivating behaviour change. However, there is also a danger that disclosure of genetic risk may promote a fatalistic attitude and demotivate individuals. The original concept of personalised nutrition (PN) focused on genotype-based tailored dietary advice; however, PN can also be delivered based on assessment of dietary intake and phenotypic measures. Whilst dietitians currently provide PN advice based on diet and phenotype, genotype-based PN advice is not so readily available. The aim of this review is to examine the evidence for genotype-based personalised information on motivating behaviour change, and factors which may affect the impact of genotype-based personalised advice. Recent findings in PN will also be discussed, with respect to a large European study, Food4Me, which investigated the impact of varying levels of PN advice on motivating behaviour change. The researchers reported that PN advice resulted in greater dietary changes compared with general healthy eating advice, but no additional benefit was observed for PN advice based on phenotype and genotype information. Within Food4Me, work from our group revealed that knowledge of MTHFR genotype did not significantly improve intakes of dietary folate. In general, evidence is weak with regard to genotype-based PN advice. For future work, studies should test the impact of PN advice developed on a strong nutrigenetic evidence base, ensure an appropriate study design for the research question asked, and incorporate behaviour change techniques into the intervention.
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O'Donovan CB, Walsh MC, Forster H, Woolhead C, Celis-Morales C, Fallaize R, Macready AL, Marsaux CFM, Navas-Carretero S, San-Cristobal R, Kolossa S, Mavrogianni C, Lambrinou CP, Moschonis G, Godlewska M, Surwillo A, Bouwman J, Grimaldi K, Traczyk I, Drevon CA, Daniel H, Manios Y, Martinez JA, Saris WHM, Lovegrove JA, Mathers JC, Gibney MJ, Brennan L, Gibney ER. The impact of MTHFR 677C → T risk knowledge on changes in folate intake: findings from the Food4Me study. GENES AND NUTRITION 2016; 11:25. [PMID: 27708721 PMCID: PMC5043523 DOI: 10.1186/s12263-016-0539-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 08/03/2016] [Indexed: 11/10/2022]
Abstract
BACKGROUND It is hypothesised that individuals with knowledge of their genetic risk are more likely to make health-promoting dietary and lifestyle changes. The present study aims to test this hypothesis using data from the Food4Me study. This was a 6-month Internet-based randomised controlled trial conducted across seven centres in Europe where individuals received either general healthy eating advice or varying levels of personalised nutrition advice. Participants who received genotype-based personalised advice were informed whether they had the risk (CT/TT) (n = 178) or non-risk (CC) (n = 141) alleles of the methylenetetrahydrofolate reductase (MTHFR) gene in relation to cardiovascular health and the importance of a sufficient intake of folate. General linear model analysis was used to assess changes in folate intake between the MTHFR risk, MTHFR non-risk and control groups from baseline to month 6 of the intervention. RESULTS There were no differences between the groups for age, gender or BMI. However, there was a significant difference in country distribution between the groups (p = 0.010). Baseline folate intakes were 412 ± 172, 391 ± 190 and 410 ± 186 μg per 10 MJ for the risk, non-risk and control groups, respectively. There were no significant differences between the three groups in terms of changes in folate intakes from baseline to month 6. Similarly, there were no changes in reported intake of food groups high in folate. CONCLUSIONS These results suggest that knowledge of MTHFR 677C → T genotype did not improve folate intake in participants with the risk variant compared with those with the non-risk variant. TRIAL REGISTRATION ClinicalTrials.gov NCT01530139.
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Affiliation(s)
- Clare B O'Donovan
- Institute of Food & Health, University College Dublin, Dublin 4, Ireland
| | - Marianne C Walsh
- Institute of Food & Health, University College Dublin, Dublin 4, Ireland
| | - Hannah Forster
- Institute of Food & Health, University College Dublin, Dublin 4, Ireland
| | - Clara Woolhead
- Institute of Food & Health, University College Dublin, Dublin 4, Ireland
| | - Carlos Celis-Morales
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle, NE4 5PL UK
| | - Rosalind Fallaize
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health, University of Reading, Reading, RG6 6AR UK
| | - Anna L Macready
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health, University of Reading, Reading, RG6 6AR UK
| | - Cyril F M Marsaux
- Department of Human Biology, NUTRIM, Maastricht University, Maastricht, The Netherlands
| | - Santiago Navas-Carretero
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain ; CIBERobn, Fisiopatología de la Obesidad y Nutrición, INstituto de Salud Carlos III, Madrid, Spain
| | - Rodrigo San-Cristobal
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain
| | - Silvia Kolossa
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Munich, Germany
| | | | | | - George Moschonis
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | | | - Jildau Bouwman
- TNO, Microbiology and Systems Biology Group, Zeist, The Netherlands
| | - Keith Grimaldi
- Eurogenetica Ltd, Salisbury Road, Burnham-on-Sea, TA8 1HX UK
| | - Iwona Traczyk
- Department of Human Nutrition, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Hannelore Daniel
- ZIEL Research Center of Nutrition and Food Sciences, Biochemistry Unit, Technische Universität München, Munich, Germany
| | - Yannis Manios
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - J Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, University of Navarra, Pamplona, Spain ; CIBERobn, Fisiopatología de la Obesidad y Nutrición, INstituto de Salud Carlos III, Madrid, Spain ; IDISNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Wim H M Saris
- Department of Human Biology, NUTRIM, Maastricht University, Maastricht, The Netherlands
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition and Institute for Cardiovascular and Metabolic Health, University of Reading, Reading, RG6 6AR UK
| | - John C Mathers
- Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Newcastle, NE4 5PL UK
| | - Michael J Gibney
- Institute of Food & Health, University College Dublin, Dublin 4, Ireland
| | - Lorraine Brennan
- Institute of Food & Health, University College Dublin, Dublin 4, Ireland
| | - Eileen R Gibney
- Institute of Food & Health, University College Dublin, Dublin 4, Ireland
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Kohlmeier M, De Caterina R, Ferguson LR, Görman U, Allayee H, Prasad C, Kang JX, Nicoletti CF, Martinez JA. Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalized Nutrition: Part 2 - Ethics, Challenges and Endeavors of Precision Nutrition. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2016; 9:28-46. [PMID: 27286972 DOI: 10.1159/000446347] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Nutrigenetics considers the influence of individual genetic variation on differences in response to dietary components, nutrient requirements and predisposition to disease. Nutrigenomics involves the study of interactions between the genome and diet, including how nutrients affect the transcription and translation process plus subsequent proteomic and metabolomic changes, and also differences in response to dietary factors based on the individual genetic makeup. Personalized characteristics such as age, gender, physical activity, physiological state and social status, and special conditions such as pregnancy and risk of disease can inform dietary advice that more closely meets individual needs. Precision nutrition has a promising future in treating the individual according to their phenotype and genetic characteristics, aimed at both the treatment and prevention of disease. However, many aspects are still in progress and remain as challenges for the future of nutrition. The integration of the human genotype and microbiome needs to be better understood. Further advances in data interpretation tools are also necessary, so that information obtained through newer tests and technologies can be properly transferred to consumers. Indeed, precision nutrition will integrate genetic data with phenotypical, social, cultural and personal preferences and lifestyles matters to provide a more individual nutrition, but considering public health perspectives, where ethical, legal and policy aspects need to be defined and implemented.
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Affiliation(s)
- Martin Kohlmeier
- Department of Nutrition, School of Public Health, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, N.C., USA
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24
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Ferguson LR, De Caterina R, Görman U, Allayee H, Kohlmeier M, Prasad C, Choi MS, Curi R, de Luis DA, Gil Á, Kang JX, Martin RL, Milagro FI, Nicoletti CF, Nonino CB, Ordovas JM, Parslow VR, Portillo MP, Santos JL, Serhan CN, Simopoulos AP, Velázquez-Arellano A, Zulet MA, Martinez JA. Guide and Position of the International Society of Nutrigenetics/Nutrigenomics on Personalised Nutrition: Part 1 - Fields of Precision Nutrition. Lifestyle Genom 2016; 9:12-27. [DOI: 10.1159/000445350] [Citation(s) in RCA: 106] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Abstract
Over a decade since the completion of the human genome sequence, the promise of personalised nutrition available to all has yet to become a reality. While the definition was originally very gene-focused, in recent years, a model of personalised nutrition has emerged with the incorporation of dietary, phenotypic and genotypic information at various levels. Developing on from the idea of personalised nutrition, the concept of targeted nutrition has evolved which refers to the delivery of tailored dietary advice at a group level rather than at an individual level. Central to this concept is metabotyping or metabolic phenotyping, which is the ability to group similar individuals together based on their metabolic or phenotypic profiles. Applications of the metabotyping concept extend from the nutrition to the medical literature. While there are many examples of the metabotype approach, there is a dearth in the literature with regard to the development of tailored interventions for groups of individuals. This review will first explore the effectiveness of personalised nutrition in motivating behaviour change and secondly, examine potential novel ways for the delivery of personalised advice at a population level through a metabotyping approach. Based on recent findings from our work, we will demonstrate a novel strategy for the delivery of tailored dietary advice at a group level using this concept. In general, there is a strong emerging evidence to support the effectiveness of personalised nutrition; future work should ascertain if targeted nutrition can motivate behaviour change in a similar manner.
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26
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Ryan NM, O'Donovan CB, Forster H, Woolhead C, Walsh MC. New tools for personalised nutrition: The Food4Me project. NUTR BULL 2015. [DOI: 10.1111/nbu.12143] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- N. M. Ryan
- UCD Institute of Food and Health; University College Dublin; Republic of Ireland
| | - C. B. O'Donovan
- UCD Institute of Food and Health; University College Dublin; Republic of Ireland
| | - H. Forster
- UCD Institute of Food and Health; University College Dublin; Republic of Ireland
| | - C. Woolhead
- UCD Institute of Food and Health; University College Dublin; Republic of Ireland
| | - M. C. Walsh
- UCD Institute of Food and Health; University College Dublin; Republic of Ireland
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27
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O'Donovan CB, Walsh MC, Nugent AP, McNulty B, Walton J, Flynn A, Gibney MJ, Gibney ER, Brennan L. Use of metabotyping for the delivery of personalised nutrition. Mol Nutr Food Res 2014; 59:377-85. [DOI: 10.1002/mnfr.201400591] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 11/04/2014] [Accepted: 11/13/2014] [Indexed: 02/03/2023]
Affiliation(s)
- Clare B. O'Donovan
- Institute of Food & Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Marianne C. Walsh
- Institute of Food & Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Anne P. Nugent
- Institute of Food & Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Breige McNulty
- Institute of Food & Health; University College Dublin (UCD); Belfield 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
- Institute of Food & Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Eileen R. Gibney
- Institute of Food & Health; University College Dublin (UCD); Belfield Dublin Ireland
| | - Lorraine Brennan
- Institute of Food & Health; University College Dublin (UCD); Belfield Dublin Ireland
- UCD Conway Institute of Biomolecular Research; UCD; Belfield Dublin Ireland
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28
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Nielsen DE, El-Sohemy A. Disclosure of genetic information and change in dietary intake: a randomized controlled trial. PLoS One 2014; 9:e112665. [PMID: 25398084 PMCID: PMC4232422 DOI: 10.1371/journal.pone.0112665] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 09/17/2014] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Proponents of consumer genetic tests claim that the information can positively impact health behaviors and aid in chronic disease prevention. However, the effects of disclosing genetic information on dietary intake behavior are not clear. METHODS A double-blinded, parallel group, 2:1 online randomized controlled trial was conducted to determine the short- and long-term effects of disclosing nutrition-related genetic information for personalized nutrition on dietary intakes of caffeine, vitamin C, added sugars, and sodium. Participants were healthy men and women aged 20-35 years (n = 138). The intervention group (n = 92) received personalized DNA-based dietary advice for 12-months and the control group (n = 46) received general dietary recommendations with no genetic information for 12-months. Food frequency questionnaires were collected at baseline and 3- and 12-months after the intervention to assess dietary intakes. General linear models were used to compare changes in intakes between those receiving general dietary advice and those receiving DNA-based dietary advice. RESULTS Compared to the control group, no significant changes to dietary intakes of the nutrients were observed at 3-months. At 12-months, participants in the intervention group who possessed a risk version of the ACE gene, and were advised to limit their sodium intake, significantly reduced their sodium intake (mg/day) compared to the control group (-287.3 ± 114.1 vs. 129.8 ± 118.2, p = 0.008). Those who had the non-risk version of ACE did not significantly change their sodium intake compared to the control group (12-months: -244.2 ± 150.2, p = 0.11). Among those with the risk version of the ACE gene, the proportion who met the targeted recommendation of 1500 mg/day increased from 19% at baseline to 34% after 12 months (p = 0.06). CONCLUSIONS These findings demonstrate that disclosing genetic information for personalized nutrition results in greater changes in intake for some dietary components compared to general population-based dietary advice. TRIAL REGISTRATION ClinicalTrials.gov NCT01353014.
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Affiliation(s)
- Daiva E Nielsen
- Department of Nutritional Sciences, University of Toronto, 150 College St, Toronto, ON, M5S 3E2, Canada
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, University of Toronto, 150 College St, Toronto, ON, M5S 3E2, Canada
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29
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Abstract
The term "Translational Genomics" reflects both title and mission of this new journal. "Translational" has traditionally been understood as "applied research" or "development", different from or even opposed to "basic research". Recent scientific and societal developments have triggered a re-assessment of the connotation that "translational" and "basic" are either/or activities: translational research nowadays aims at feeding the best science into applications and solutions for human society. We therefore argue here basic science to be challenged and leveraged for its relevance to human health and societal benefits. This more recent approach and attitude are catalyzed by four trends or developments: evidence-based solutions; large-scale, high dimensional data; consumer/patient empowerment; and systems-level understanding.
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Affiliation(s)
- Martin Kussmann
- Molecular Biomarkers Core, Nestlé Institute of Health Sciences (NIHS), Lausanne, Switzerland; Faculty of Life Sciences, Ecole Polytechnique Fédérale Lausanne (EPFL), Lausanne, Switzerland; Faculty of Science, Interdisciplinary NanoScience Center (iNANO), Aarhus University, Aarhus, Denmark
| | - Jim Kaput
- Systems Nutrition and Health Unit, Nestlé Institute of Health Sciences (NIHS), Lausanne, Switzerland; Service Endocrinol. Diabetes, Metabol. Univ. Hospital Lausanne (CHUV), Univ. Lausanne, Switzerland
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30
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O’Connor A, Quizon PM, Albright JE, Lin FT, Bennett BJ. Responsiveness of cardiometabolic-related microbiota to diet is influenced by host genetics. Mamm Genome 2014; 25:583-99. [PMID: 25159725 PMCID: PMC4239785 DOI: 10.1007/s00335-014-9540-0] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Accepted: 08/04/2014] [Indexed: 01/04/2023]
Abstract
Intestinal microbial community structure is driven by host genetics in addition to environmental factors such as diet. In comparison with environmental influences, the effect of host genetics on intestinal microbiota, and how host-driven differences alter host metabolism is unclear. Additionally, the interaction between host genetics and diet, and the impact on the intestinal microbiome and possible down-stream effect on host metabolism is not fully understood, but represents another aspects of inter-individual variation in disease risk. The objectives of this study were to investigate how diet and genetic background shape microbial communities, and how these diet- and genetic-driven microbial differences relate to cardiometabolic phenotypes. To determine these effects, we used the 8 progenitor strains of the collaborative cross/diversity outbred mapping panels (C57BL/6J, A/J, NOD/ShiLtJ, NZO/HILtJ, WSB/EiJ, CAST/EiJ, PWK/PhJ, and 129S1/SvImJ). 16s rRNA profiling of enteric microbial communities in addition to the assessment of phenotypes central to cardiometabolic health was conducted under baseline nutritional conditions and in response to diets varying in atherogenic nutrient (fat, cholesterol, cholic acid) composition. These studies revealed strain-driven differences in enteric microbial communities which were retained with dietary intervention. Diet–strain interactions were seen for a core group of cardiometabolic-related microbial taxa. In conclusion, these studies highlight diet and genetically regulated cardiometabolic-related microbial taxa. Furthermore, we demonstrate the progenitor model is useful for nutrigenomic-based studies and screens seeking to investigate the interaction between genetic background and the phenotypic and microbial response to diet.
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Affiliation(s)
- Annalouise O’Connor
- UNC Chapel Hill Nutrition Research Institute, 500 Laureate Way, Kannapolis, NC 28081 USA
| | - Pamela M. Quizon
- UNC Chapel Hill Nutrition Research Institute, 500 Laureate Way, Kannapolis, NC 28081 USA
| | - Jody E. Albright
- UNC Chapel Hill Nutrition Research Institute, 500 Laureate Way, Kannapolis, NC 28081 USA
| | - Fred T. Lin
- UNC Chapel Hill Nutrition Research Institute, 500 Laureate Way, Kannapolis, NC 28081 USA
| | - Brian J. Bennett
- UNC Chapel Hill Nutrition Research Institute, 500 Laureate Way, Kannapolis, NC 28081 USA
- Department of Genetics, University of North Carolina Chapel Hill, Chapel Hill, NC 27599 USA
- Department of Nutrition, University of North Carolina Chapel Hill, Chapel Hill, NC 27599 USA
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31
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Joslin AC, Green R, German JB, Lange MC. Concept mapping One-Carbon Metabolism to model future ontologies for nutrient-gene-phenotype interactions. GENES AND NUTRITION 2014; 9:419. [PMID: 25091042 DOI: 10.1007/s12263-014-0419-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Accepted: 07/10/2014] [Indexed: 01/16/2023]
Abstract
Advances in the development of bioinformatic tools continue to improve investigators' ability to interrogate, organize, and derive knowledge from large amounts of heterogeneous information. These tools often require advanced technical skills not possessed by life scientists. User-friendly, low-barrier-to-entry methods of visualizing nutrigenomics information are yet to be developed. We utilized concept mapping software from the Institute for Human and Machine Cognition to create a conceptual model of diet and health-related data that provides a foundation for future nutrigenomics ontologies describing published nutrient-gene/polymorphism-phenotype data. In this model, maps containing phenotype, nutrient, gene product, and genetic polymorphism interactions are visualized as triples of two concepts linked together by a linking phrase. These triples, or "knowledge propositions," contextualize aggregated data and information into easy-to-read knowledge maps. Maps of these triples enable visualization of genes spanning the One-Carbon Metabolism (OCM) pathway, their sequence variants, and multiple literature-mined associations including concepts relevant to nutrition, phenotypes, and health. The concept map development process documents the incongruity of information derived from pathway databases versus literature resources. This conceptual model highlights the importance of incorporating information about genes in upstream pathways that provide substrates, as well as downstream pathways that utilize products of the pathway under investigation, in this case OCM. Other genes and their polymorphisms, such as TCN2 and FUT2, although not directly involved in OCM, potentially alter OCM pathway functionality. These upstream gene products regulate substrates such as B12. Constellations of polymorphisms affecting the functionality of genes along OCM, together with substrate and cofactor availability, may impact resultant phenotypes. These conceptual maps provide a foundational framework for development of nutrient-gene/polymorphism-phenotype ontologies and systems visualization.
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Affiliation(s)
- A C Joslin
- Department of Food Science and Technology, University of California, Davis, 1 Shields Avenue, Davis, CA, 95616, USA
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32
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Zinck JWR, MacFarlane AJ. Approaches for the identification of genetic modifiers of nutrient dependent phenotypes: examples from folate. Front Nutr 2014; 1:8. [PMID: 25988111 PMCID: PMC4428393 DOI: 10.3389/fnut.2014.00008] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Accepted: 06/25/2014] [Indexed: 01/14/2023] Open
Abstract
By combining the sciences of nutrition, bioinformatics, genomics, population genetics, and epidemiology, nutrigenomics is improving our understanding of how diet and nutrient intake can interact with or modify gene expression and disease risk. In this review, we explore various approaches to examine gene–nutrient interactions and the modifying role of nutrient consumption, as they relate to nutrient status and disease risk in human populations. Two common approaches include the use of SNPs in candidate genes to identify their association with nutritional status or disease outcomes, or genome-wide association studies to identify genetic polymorphisms associated with a given phenotype. Here, we examine the results of various gene–nutrient interaction studies, the association of genetic polymorphisms with disease expression, and the identification of nutritional factors that modify gene-dependent disease phenotypes. We have focused on specific examples from investigations of the interactions of folate, B-vitamin consumption, and polymorphisms in the genes of B-vitamin dependent enzymes and their association with disease risk, followed by an examination of the strengths and limitations of the methods employed. We also present suggestions for future studies, including an approach from an on-going large scale study, to examine the interaction of nutrient intake and genotypic variation and their impact on nutritional status.
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Affiliation(s)
- John W R Zinck
- Science Integration Division, Public Health Agency of Canada , Ottawa, ON , Canada
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33
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Westergaard D, Li J, Jensen K, Kouskoumvekaki I, Panagiotou G. Exploring mechanisms of diet-colon cancer associations through candidate molecular interaction networks. BMC Genomics 2014; 15:380. [PMID: 24886433 PMCID: PMC4055784 DOI: 10.1186/1471-2164-15-380] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2014] [Accepted: 05/13/2014] [Indexed: 02/08/2023] Open
Abstract
Background Epidemiological studies in the recent years have investigated the relationship between dietary habits and disease risk demonstrating that diet has a direct effect on public health. Especially plant-based diets -fruits, vegetables and herbs- are known as a source of molecules with pharmacological properties for treatment of several malignancies. Unquestionably, for developing specific intervention strategies to reduce cancer risk there is a need for a more extensive and holistic examination of the dietary components for exploring the mechanisms of action and understanding the nutrient-nutrient interactions. Here, we used colon cancer as a proof-of-concept for understanding key regulatory sites of diet on the disease pathway. Results We started from a unique vantage point by having a database of 158 plants positively associated to colon cancer reduction and their molecular composition (~3,500 unique compounds). We generated a comprehensive picture of the interaction profile of these edible and non-edible plants with a predefined candidate colon cancer target space consisting of ~1,900 proteins. This knowledge allowed us to study systematically the key components in colon cancer that are targeted synergistically by phytochemicals and identify statistically significant and highly correlated protein networks that could be perturbed by dietary habits. Conclusion We propose here a framework for interrogating the critical targets in colon cancer processes and identifying plant-based dietary interventions as important modifiers using a systems chemical biology approach. Our methodology for better delineating prevention of colon cancer by nutritional interventions relies heavily on the availability of information about the small molecule constituents of our diet and it can be expanded to any other disease class that previous evidence has linked to lifestyle.
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Affiliation(s)
| | | | | | | | - Gianni Panagiotou
- School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
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34
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Monteiro JP, Wise C, Morine MJ, Teitel C, Pence L, Williams A, McCabe-Sellers B, Champagne C, Turner J, Shelby B, Ning B, Oguntimein J, Taylor L, Toennessen T, Priami C, Beger RD, Bogle M, Kaput J. Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study. GENES & NUTRITION 2014; 9:403. [PMID: 24760553 PMCID: PMC4026438 DOI: 10.1007/s12263-014-0403-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2014] [Accepted: 04/06/2014] [Indexed: 12/28/2022]
Abstract
Micronutrient research typically focuses on analyzing the effects of single or a few nutrients on health by analyzing a limited number of biomarkers. The observational study described here analyzed micronutrients, plasma proteins, dietary intakes, and genotype using a systems approach. Participants attended a community-based summer day program for 6-14 year old in 2 years. Genetic makeup, blood metabolite and protein levels, and dietary differences were measured in each individual. Twenty-four-hour dietary intakes, eight micronutrients (vitamins A, D, E, thiamin, folic acid, riboflavin, pyridoxal, and pyridoxine) and 3 one-carbon metabolites [homocysteine (Hcy), S-adenosylmethionine (SAM), and S-adenosylhomocysteine (SAH)], and 1,129 plasma proteins were analyzed as a function of diet at metabolite level, plasma protein level, age, and sex. Cluster analysis identified two groups differing in SAM/SAH and differing in dietary intake patterns indicating that SAM/SAH was a potential marker of nutritional status. The approach used to analyze genetic association with the SAM/SAH metabolites is called middle-out: SNPs in 275 genes involved in the one-carbon pathway (folate, pyridoxal/pyridoxine, thiamin) or were correlated with SAM/SAH (vitamin A, E, Hcy) were analyzed instead of the entire 1M SNP data set. This procedure identified 46 SNPs in 25 genes associated with SAM/SAH demonstrating a genetic contribution to the methylation potential. Individual plasma metabolites correlated with 99 plasma proteins. Fourteen proteins correlated with body mass index, 49 with group age, and 30 with sex. The analytical strategy described here identified subgroups for targeted nutritional interventions.
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Affiliation(s)
- Jacqueline Pontes Monteiro
- />Department of Pediatrics, Faculty of Medicine, Faculty of Nutrition and Metabolism, University of São Paulo, Ribeirão Prêto, SP Brazil
| | - Carolyn Wise
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Melissa J. Morine
- />Department of Mathematics, University of Trento, Trento, Italy
- />The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
| | - Candee Teitel
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Lisa Pence
- />Division of Systems Biology, NCTR/FDA, Jefferson, AR USA
| | - Anna Williams
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Beverly McCabe-Sellers
- />Delta Obesity Prevention Research Unit, United States Department of Agriculture, Agricultural Research Service, Little Rock, AR USA
| | - Catherine Champagne
- />Dietary Assessment and Nutrition Counseling, Pennington Biomedical Research Center, Baton Rouge, LA USA
| | - Jerome Turner
- />Boys, Girls, Adults Community Development Center & The Phillips County Community Partners, Marvell, AR USA
| | - Beatrice Shelby
- />Boys, Girls, Adults Community Development Center & The Phillips County Community Partners, Marvell, AR USA
| | - Baitang Ning
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Joan Oguntimein
- />Shepherd Program for the Interdisciplinary Study of Poverty and Human Capability, Washington and Lee University, Lexington, VA USA
- />Medical School, Drexel University, Philadelphia, PA USA
| | - Lauren Taylor
- />Shepherd Program for the Interdisciplinary Study of Poverty and Human Capability, Washington and Lee University, Lexington, VA USA
- />Emory School of Public Health, Atlanta, GA USA
| | - Terri Toennessen
- />Division of Personalized Nutrition and Medicine, National Center for Toxicological Research (NCTR), Food and Drug Administration (FDA), Jefferson, AR USA
| | - Corrado Priami
- />Department of Mathematics, University of Trento, Trento, Italy
- />The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto, Italy
| | | | - Margaret Bogle
- />Delta Obesity Prevention Research Unit, United States Department of Agriculture, Agricultural Research Service, Little Rock, AR USA
| | - Jim Kaput
- />Systems Nutrition and Health Unit, Nestle Institute of Health Sciences, Innovation Square, EPFL Campus, 1015 Lausanne, Switzerland
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Opportunism: a panacea for implementation of whole-genome sequencing studies in nutrigenomics research? GENES AND NUTRITION 2014; 9:387. [PMID: 24535715 DOI: 10.1007/s12263-014-0387-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Accepted: 02/03/2014] [Indexed: 10/25/2022]
Abstract
Observational studies have consistently shown associations between mild deficiencies in folate and vitamin B12 with increased risk of a myriad of common diseases. These findings have invariably translated into null outcomes in intervention trials due in part to our ignorance of the specific genomic and environmental factors that underpin population variability in requirements to these B-vitamins. Although genome-wide association studies have shed initial light on the genetic architecture of variability in status of these vitamins, particularly vitamin B12, the causal mechanisms remain uncharacterised. A recent study by Grarup et al. (PLoS Genet 9(6):e1003530, 2013) used next-generation whole-genome sequencing to gain further insight into the genetic architecture of vitamin B12 and folate status in the general population. Their study represents the analysis of approximately ten times greater number of genetic variants and nearly four times the number of individuals compared to the largest previous GWAS study of these B-vitamins. In light of this, we purport that although the study may be viewed as the state of the art in the roadmap to personalised or precision nutrition, the lack of insight provided by the study serves as a cautionary reminder of the importance of study design, particularly when leveraging large-scale data, such as those from whole-genome sequences. We believe that the precedent set by such large-scale "proof of principle" type projects will wrongly enforce a negative outlook for nutrigenomics research and present alternative study designs, which although less opportunistic are far more likely to be informative and yield novel results.
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Kussmann M. Role of proteomics in nutrigenomics and nutrigenetics. Expert Rev Proteomics 2014; 6:453-6. [DOI: 10.1586/epr.09.62] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Collins J, Ryan L, Truby H. A systematic review of the factors associated with interest in predictive genetic testing for obesity, type II diabetes and heart disease. J Hum Nutr Diet 2013; 27:479-88. [DOI: 10.1111/jhn.12179] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- J. Collins
- Department of Nutrition and Dietetics; Monash University; Notting Hill VIC Australia
| | - L. Ryan
- Department of Nutrition and Dietetics; Monash University; Notting Hill VIC Australia
| | - H. Truby
- Department of Nutrition and Dietetics; Monash University; Notting Hill VIC Australia
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Kussmann M, Morine MJ, Hager J, Sonderegger B, Kaput J. Perspective: a systems approach to diabetes research. Front Genet 2013; 4:205. [PMID: 24187547 PMCID: PMC3807566 DOI: 10.3389/fgene.2013.00205] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Accepted: 09/24/2013] [Indexed: 12/17/2022] Open
Abstract
We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene–environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term “systems omics.”
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Affiliation(s)
- Martin Kussmann
- Nestlé Institute of Health Sciences SA Lausanne, Switzerland ; Faculty of Life Sciences, Ecole Polytechnique Fédérale Lausanne, Switzerland ; Faculty of Science, Aarhus University Aarhus, Denmark
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Świeca M, Baraniak B, Gawlik-Dziki U. In vitro digestibility and starch content, predicted glycemic index and potential in vitro antidiabetic effect of lentil sprouts obtained by different germination techniques. Food Chem 2013; 138:1414-20. [DOI: 10.1016/j.foodchem.2012.09.122] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2012] [Revised: 09/24/2012] [Accepted: 09/24/2012] [Indexed: 12/28/2022]
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Vera-Ramirez L, Ramirez-Tortosa MC, Sanchez-Rovira P, Ramirez-Tortosa CL, Granados-Principal S, Lorente JA, Quiles JL. Impact of Diet on Breast Cancer Risk: A Review of Experimental and Observational Studies. Crit Rev Food Sci Nutr 2013; 53:49-75. [DOI: 10.1080/10408398.2010.521600] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Ganesh V, Hettiarachchy NS. Nutriproteomics: A promising tool to link diet and diseases in nutritional research. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2012; 1824:1107-17. [DOI: 10.1016/j.bbapap.2012.06.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2012] [Revised: 05/25/2012] [Accepted: 06/13/2012] [Indexed: 12/25/2022]
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Juengst ET, Settersten RA, Fishman JR, McGowan ML. After the revolution? Ethical and social challenges in 'personalized genomic medicine'. Per Med 2012; 9:429-439. [PMID: 23662108 PMCID: PMC3646379 DOI: 10.2217/pme.12.37] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Personalized genomic medicine (PGM) is a goal that currently unites a wide array of biomedical initiatives, and is promoted as a 'new paradigm for healthcare' by its champions. Its promissory virtues include individualized diagnosis and risk prediction, more effective prevention and health promotion, and patient empowerment. Beyond overcoming scientific and technological hurdles to realizing PGM, proponents may interpret and rank these promises differently, which carries ethical and social implications for the realization of PGM as an approach to healthcare. We examine competing visions of PGM's virtues and the directions in which they could take the field, in order to anticipate policy choices that may lie ahead for researchers, healthcare providers and the public.
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Affiliation(s)
- Eric T Juengst
- University of North Carolina – Chapel Hill, Center for Bioethics, 333 MacNider Hall, Chapel Hill, NC 27599–7240, USA
| | - Richard A Settersten
- Oregon State University, College of Public Health & Human Sciences, 2631 SW Campus Way (HFC), Corvallis, OR 97331–5102, USA
| | - Jennifer R Fishman
- McGill University, Social Studies of Medicine Department, Biomedical Ethics Unit, 3647 Peel Street, 307, Montreal, QC H3A 1X1, Canada
| | - Michelle L McGowan
- Case Western Reserve University, School of Medicine, Department of Bioethics, 10900 Euclid Avenue, Cleveland, OH 44106–4976, USA
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Gostner JM, Wrulich OA, Jenny M, Fuchs D, Ueberall F. An update on the strategies in multicomponent activity monitoring within the phytopharmaceutical field. Altern Ther Health Med 2012; 12:18. [PMID: 22417247 PMCID: PMC3359261 DOI: 10.1186/1472-6882-12-18] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2011] [Accepted: 03/14/2012] [Indexed: 03/18/2023]
Abstract
Background To-date modern drug research has focused on the discovery and synthesis of single active substances. However, multicomponent preparations are gaining increasing importance in the phytopharmaceutical field by demonstrating beneficial properties with respect to efficacy and toxicity. Discussion In contrast to single drug combinations, a botanical multicomponent therapeutic possesses a complex repertoire of chemicals that belong to a variety of substance classes. This may explain the frequently observed pleiotropic bioactivity spectra of these compounds, which may also suggest that they possess novel therapeutic opportunities. Interestingly, considerable bioactivity properties are exhibited not only by remedies that contain high doses of phytochemicals with prominent pharmaceutical efficacy, but also preparations that lack a sole active principle component. Despite that each individual substance within these multicomponents has a low molar fraction, the therapeutic activity of these substances is established via a potentialization of their effects through combined and simultaneous attacks on multiple molecular targets. Although beneficial properties may emerge from such a broad range of perturbations on cellular machinery, validation and/or prediction of their activity profiles is accompanied with a variety of difficulties in generic risk-benefit assessments. Thus, it is recommended that a comprehensive strategy is implemented to cover the entirety of multicomponent-multitarget effects, so as to address the limitations of conventional approaches. Summary An integration of standard toxicological methods with selected pathway-focused bioassays and unbiased data acquisition strategies (such as gene expression analysis) would be advantageous in building an interaction network model to consider all of the effects, whether they were intended or adverse reactions.
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Pavlidis C, Karamitri A, Barakou A, Cooper DN, Poulas K, Topouzis S, Patrinos GP. Ascertainment and critical assessment of the views of the general public and healthcare professionals on nutrigenomics in Greece. Per Med 2012; 9:201-210. [PMID: 29758826 DOI: 10.2217/pme.12.3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
AIM The aim of this study was to understand the general public's and healthcare professionals' views on nutrigenomics. PATIENTS & METHODS We designed a cross-sectional survey of healthcare professionals (n = 87) and the general public (n = 1504) in the three largest cities in Greece (Athens, Thessaloniki and Patras). RESULTS Our data revealed that only 11.5% of respondents from the general public had been advised to take a genetic test in order to explore the relationship between their genes and their nutritional status. Although 80.5% of healthcare professionals would have been willing to recommend their patients/clients to undergo nutrigenomic analysis to correlate their genetic profile with their diet, only 17.2% of respondents had actually done so. In general, the general public was opposed to direct-access nutrigenomics testing. CONCLUSION The application of genomic information in the context of nutritional choice requires the continuing education of healthcare professionals and the dissemination of accurate and reliable information to the general public.
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Affiliation(s)
- Cristiana Pavlidis
- University of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | - Angeliki Karamitri
- University of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | - Aglaia Barakou
- University of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK
| | - Konstantinos Poulas
- University of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | - Stavros Topouzis
- University of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece
| | - George P Patrinos
- University of Patras, School of Health Sciences, Department of Pharmacy, University Campus, Rion, GR-26504, Patras, Greece.
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Abstract
Genetics has fascinated societies since ancient times, and references to traits or behaviors that appear to be shared or different among related individuals have permeated legends, literature, and popular culture. Biomedical advances from the past century, and particularly the discovery of the DNA double helix, the increasing numbers of links that were established between mutations and medical conditions or phenotypes, and technological advances that facilitated the sequencing of the human genome, catalyzed the development of genetic testing. Genetic tests were initially performed in health care facilities, interpreted by health care providers, and included the availability of counseling. Recent years have seen an increased availability of genetic tests that are offered by companies directly to consumers, a phenomenon that became known as direct-to-consumer genetic testing. Tests offered in this setting range from the ones that are also provided in health care establishments to tests known as ‘recreational genomics,’ and consumers directly receive the test results. In addition, testing in this context often does not involve the availability of counseling and, when this is provided, it frequently occurs on-line or over the phone. As a field situated at the interface between biotechnology, biomedical research, and social sciences, direct-to-consumer genetic testing opens multiple challenges that can be appropriately addressed only by developing a complex, inter-disciplinary framework.
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Eussen SR, Verhagen H, Klungel OH, Garssen J, van Loveren H, van Kranen HJ, Rompelberg CJ. Functional foods and dietary supplements: Products at the interface between pharma and nutrition. Eur J Pharmacol 2011; 668 Suppl 1:S2-9. [DOI: 10.1016/j.ejphar.2011.07.008] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2011] [Accepted: 07/13/2011] [Indexed: 11/24/2022]
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Inselman AL, Hansen DK, Lee HY, Nakamura N, Ning B, Monteiro JP, Varma V, Kaput J. Assessment of research models for testing gene-environment interactions. Eur J Pharmacol 2011; 668 Suppl 1:S108-16. [PMID: 21816149 DOI: 10.1016/j.ejphar.2011.05.084] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2011] [Revised: 05/16/2011] [Accepted: 05/22/2011] [Indexed: 12/16/2022]
Abstract
Throughout the last century, possible effects of exposure to toxicants, nutrients or drugs were examined primarily by studies of groups or populations. Individual variation in responses was acknowledged but could not be analyzed due to lack of information or tools to analyze individual genetic make-ups and lifestyle factors such as diet and activity. The Human Genome, Haplotype Map, 1000Genomes, and Human Variome Projects are identifying and cataloging the variation found within humans. Advances in DNA sequencing technologies will soon permit the characterization of individual genomes in clinical and basic research studies, thus allowing associations to be made between an individual genotype and the response to a particular exposure. Such knowledge and tools have generated a significant challenge for scientists: to design and conduct research studies that account for individual genetic variation. However, before these studies are done in humans, they will be performed in various in vivo and in vitro models. The advantages and disadvantages of some of the model test systems that are being used or developed in relation to individual genetic make-up and responses to xenobiotics are discussed.
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Affiliation(s)
- Amy L Inselman
- Division of Personalized Nutrition and Medicine, NCTR/FDA, 3900 NCTR Rd., Jefferson, AR 72079, United States.
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Fenech M, El-Sohemy A, Cahill L, Ferguson LR, French TAC, Tai ES, Milner J, Koh WP, Xie L, Zucker M, Buckley M, Cosgrove L, Lockett T, Fung KYC, Head R. Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice. JOURNAL OF NUTRIGENETICS AND NUTRIGENOMICS 2011; 4:69-89. [PMID: 21625170 DOI: 10.1159/000327772] [Citation(s) in RCA: 193] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Nutrigenetics and nutrigenomics hold much promise for providing better nutritional advice to the public generally, genetic subgroups and individuals. Because nutrigenetics and nutrigenomics require a deep understanding of nutrition, genetics and biochemistry and ever new 'omic' technologies, it is often difficult, even for educated professionals, to appreciate their relevance to the practice of preventive approaches for optimising health, delaying onset of disease and diminishing its severity. This review discusses (i) the basic concepts, technical terms and technology involved in nutrigenetics and nutrigenomics; (ii) how this emerging knowledge can be applied to optimise health, prevent and treat diseases; (iii) how to read, understand and interpret nutrigenetic and nutrigenomic research results, and (iv) how this knowledge may potentially transform nutrition and dietetic practice, and the implications of such a transformation. This is in effect an up-to-date overview of the various aspects of nutrigenetics and nutrigenomics relevant to health practitioners who are seeking a better understanding of this new frontier in nutrition research and its potential application to dietetic practice.
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Affiliation(s)
- Michael Fenech
- CSIRO Preventative Health National Research Flagship, Adelaide, SA, Australia. michael.fenech @ csiro.au
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Pilkington SM, Watson REB, Nicolaou A, Rhodes LE. Omega-3 polyunsaturated fatty acids: photoprotective macronutrients. Exp Dermatol 2011; 20:537-43. [PMID: 21569104 DOI: 10.1111/j.1600-0625.2011.01294.x] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Ultraviolet radiation (UVR) in sunlight has deleterious effects on skin, while behavioural changes have resulted in people gaining more sun exposure. The clinical impact includes a year-on-year increase in skin cancer incidence, and topical sunscreens alone provide an inadequate measure to combat overexposure to UVR. Novel methods of photoprotection are being targeted as additional measures, with growing interest in the potential for systemic photoprotection through naturally sourced nutrients. Omega-3 polyunsaturated fatty acids (n-3 PUFA) are promising candidates, showing potential to protect the skin from UVR injury through a range of mechanisms. In this review, we discuss the biological actions of n-3 PUFA in the context of skin protection from acute and chronic UVR overexposure and describe how emerging new technologies such as nutrigenomics and lipidomics assist our understanding of the contribution of such nutrients to skin health.
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Affiliation(s)
- Suzanne M Pilkington
- Dermatological Sciences, Inflammation Sciences Research Group, School of Translational Medicine, University of Manchester, Manchester Academic Health Science Centre, Salford Royal NHS Foundation Hospital, Manchester, UK
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