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Ulusoy-Gezer HG, Rakıcıoğlu N. The Future of Obesity Management through Precision Nutrition: Putting the Individual at the Center. Curr Nutr Rep 2024; 13:455-477. [PMID: 38806863 PMCID: PMC11327204 DOI: 10.1007/s13668-024-00550-y] [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] [Accepted: 05/18/2024] [Indexed: 05/30/2024]
Abstract
PURPOSE OF REVIEW: The prevalence of obesity continues to rise steadily. While obesity management typically relies on dietary and lifestyle modifications, individual responses to these interventions vary widely. Clinical guidelines for overweight and obesity stress the importance of personalized approaches to care. This review aims to underscore the role of precision nutrition in delivering tailored interventions for obesity management. RECENT FINDINGS: Recent technological strides have expanded our ability to detect obesity-related genetic polymorphisms, with machine learning algorithms proving pivotal in analyzing intricate genomic data. Machine learning algorithms can also predict postprandial glucose, triglyceride, and insulin levels, facilitating customized dietary interventions and ultimately leading to successful weight loss. Additionally, given that adherence to dietary recommendations is one of the key predictors of weight loss success, employing more objective methods for dietary assessment and monitoring can enhance sustained long-term compliance. Biomarkers of food intake hold promise for a more objective dietary assessment. Acknowledging the multifaceted nature of obesity, precision nutrition stands poised to transform obesity management by tailoring dietary interventions to individuals' genetic backgrounds, gut microbiota, metabolic profiles, and behavioral patterns. However, there is insufficient evidence demonstrating the superiority of precision nutrition over traditional dietary recommendations. The integration of precision nutrition into routine clinical practice requires further validation through randomized controlled trials and the accumulation of a larger body of evidence to strengthen its foundation.
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Affiliation(s)
- Hande Gül Ulusoy-Gezer
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, 06100, Sıhhiye, Ankara, Türkiye
| | - Neslişah Rakıcıoğlu
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Hacettepe University, 06100, Sıhhiye, Ankara, Türkiye.
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2
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Singar S, Nagpal R, Arjmandi BH, Akhavan NS. Personalized Nutrition: Tailoring Dietary Recommendations through Genetic Insights. Nutrients 2024; 16:2673. [PMID: 39203810 PMCID: PMC11357412 DOI: 10.3390/nu16162673] [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: 07/19/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 09/03/2024] Open
Abstract
Personalized nutrition (PN) represents a transformative approach in dietary science, where individual genetic profiles guide tailored dietary recommendations, thereby optimizing health outcomes and managing chronic diseases more effectively. This review synthesizes key aspects of PN, emphasizing the genetic basis of dietary responses, contemporary research, and practical applications. We explore how individual genetic differences influence dietary metabolisms, thus underscoring the importance of nutrigenomics in developing personalized dietary guidelines. Current research in PN highlights significant gene-diet interactions that affect various conditions, including obesity and diabetes, suggesting that dietary interventions could be more precise and beneficial if they are customized to genetic profiles. Moreover, we discuss practical implementations of PN, including technological advancements in genetic testing that enable real-time dietary customization. Looking forward, this review identifies the robust integration of bioinformatics and genomics as critical for advancing PN. We advocate for multidisciplinary research to overcome current challenges, such as data privacy and ethical concerns associated with genetic testing. The future of PN lies in broader adoption across health and wellness sectors, promising significant advancements in public health and personalized medicine.
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Affiliation(s)
- Saiful Singar
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Sciences, Florida State University, Tallahassee, FL 32306, USA; (S.S.); (R.N.); (B.H.A.)
| | - Ravinder Nagpal
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Sciences, Florida State University, Tallahassee, FL 32306, USA; (S.S.); (R.N.); (B.H.A.)
| | - Bahram H. Arjmandi
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Sciences, Florida State University, Tallahassee, FL 32306, USA; (S.S.); (R.N.); (B.H.A.)
| | - Neda S. Akhavan
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada, Las Vegas, NV 89154, USA
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3
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Duarte MKRN, Leite-Lais L, Agnez-Lima LF, Maciel BLL, Morais AHDA. Obesity and Nutrigenetics Testing: New Insights. Nutrients 2024; 16:607. [PMID: 38474735 DOI: 10.3390/nu16050607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Obesity results from interactions between environmental factors, lifestyle, and genetics. In this scenario, nutritional genomics and nutrigenetic tests stand out, with the promise of helping patients avoid or treat obesity. This narrative review investigates whether nutrigenetic tests may help to prevent or treat obesity. Scientific studies in PubMed Science Direct were reviewed, focusing on using nutrigenetic tests in obesity. The work showed that few studies address the use of tools in obesity. However, most of the studies listed reported their beneficial effects in weight loss. Ethical conflicts were also discussed, as in most countries, there are no regulations to standardize these tools, and there needs to be more scientific knowledge for health professionals who interpret them. International Societies, such as the Academy of Nutrition and Dietetics and the Brazilian Association for the Study of Obesity and Metabolic Syndrome, do not recommend nutrigenetic tests to prevent or treat obesity, especially in isolation. Advancing nutrigenetics depends on strengthening three pillars: regulation between countries, scientific evidence with clinical validity, and professional training.
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Affiliation(s)
| | - Lúcia Leite-Lais
- Department of Cell Biology and Genetics, Biosciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
| | - Lucymara Fassarella Agnez-Lima
- Biochemistry and Molecular Biology Postgraduate Program, Biosciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
- Department of Cell Biology and Genetics, Biosciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
| | - Bruna Leal Lima Maciel
- Department of Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
- Postgraduate Program in Nutrition, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
- Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
| | - Ana Heloneida de Araújo Morais
- Biochemistry and Molecular Biology Postgraduate Program, Biosciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
- Department of Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
- Postgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
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Antwi J. Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes. Curr Nutr Rep 2023; 12:679-694. [PMID: 37610590 PMCID: PMC10766837 DOI: 10.1007/s13668-023-00491-y] [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] [Accepted: 08/07/2023] [Indexed: 08/24/2023]
Abstract
PURPOSE OF REVIEW Existing dietary and lifestyle interventions and recommendations, to improve the risk factors of obesity and type 2 diabetes with the target to mitigate this double global epidemic, have produced inconsistent results due to interpersonal variabilities in response to these conventional approaches, and inaccuracies in dietary assessment methods. Precision nutrition, an emerging strategy, tailors an individual's key characteristics such as diet, phenotype, genotype, metabolic biomarkers, and gut microbiome for personalized dietary recommendations to optimize dietary response and health. Precision nutrition is suggested to be an alternative and potentially more effective strategy to improve dietary intake and prevention of obesity and chronic diseases. The purpose of this narrative review is to synthesize the current research and examine the state of the science regarding the effect of precision nutrition in improving the risk factors of obesity and type 2 diabetes. RECENT FINDINGS The results of the research review indicate to a large extent significant evidence supporting the effectiveness of precision nutrition in improving the risk factors of obesity and type 2 diabetes. Deeper insights and further rigorous research into the diet-phenotype-genotype and interactions of other components of precision nutrition may enable this innovative approach to be adapted in health care and public health to the special needs of individuals. Precision nutrition provides the strategy to make individualized dietary recommendations by integrating genetic, phenotypic, nutritional, lifestyle, medical, social, and other pertinent characteristics about individuals, as a means to address the challenges of generalized dietary recommendations. The evidence presented in this review shows that precision nutrition markedly improves risk factors of obesity and type 2 diabetes, particularly behavior change.
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Affiliation(s)
- Janet Antwi
- Department of Agriculture, Nutrition and Human Ecology, Prairie View A&M University, Prairie View, USA.
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Abshirini M, Coad J, Wolber FM, von Hurst P, Miller MR, Tian HS, Kruger MC. Effect of green-lipped mussel ( Perna canaliculus) supplementation on faecal microbiota, body composition and iron status markers in overweight and obese postmenopausal women: a randomised, double-blind, placebo-controlled trial. J Nutr Sci 2023; 12:e58. [PMID: 37252684 PMCID: PMC10214140 DOI: 10.1017/jns.2023.41] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/09/2023] [Accepted: 04/12/2023] [Indexed: 05/31/2023] Open
Abstract
The present study aimed to determine the effect of whole meat GSM powder on gut microbiota abundance, body composition and iron status markers in healthy overweight or obese postmenopausal women. This was a 3-months trial involving forty-nine healthy postmenopausal women with body mass index (BMI) between 25 and 35 kg/m2 who were randomly assigned to receive 3 g/d of either GSM powder (n 25) or placebo (n 24). The gut microbe abundance, serum iron status markers and body composition were measured at the baseline and the end of the study. The between-group comparison at the baseline showed a lower abundance of Bacteroides and Clostridium XIVa in the GSM group compared with the placebo (P = 0⋅04). At the baseline, the body fat (BF)% and gynoid fat% were higher in the GSM group compared with the placebo (P < 0⋅05). No significant changes were found in any of the outcome measures, except for ferritin levels that showed a significant reduction over time (time effect P = 0⋅01). Some trend was observed in bacteria including Bacteroides and Bifidobacterium which tended to increase in the GSM group while their abundance decreased or remained at their baseline level in the control group. Supplementation with GSM powder did not result in any significant changes in gut microbe abundance, body composition and iron markers compared with placebo. However, some commensal bacteria such as Bacteroides and Bifidobacteria tended to increase following supplementation with GSM powder. Overall, these findings can expand the knowledge surrounding the effects of whole GSM powder on these outcome measures in healthy postmenopausal women.
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Affiliation(s)
- Maryam Abshirini
- Department of Human Nutrition, University of Otago, PO Box 56, Dunedin 9054, New Zealand
| | - Jane Coad
- School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
| | - Frances M. Wolber
- School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
- Centre for Metabolic Health Research, Massey University, Palmerston North, New Zealand
| | - Pamela von Hurst
- School of Sport, Exercise and Nutrition, College of Health, Massey University, Auckland, New Zealand
| | | | - Hong Sabrina Tian
- School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
- Sanford Ltd., Auckland, New Zealand
| | - Marlena C. Kruger
- Department of Human Nutrition, University of Otago, PO Box 56, Dunedin 9054, New Zealand
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Voruganti VS. Precision Nutrition: Recent Advances in Obesity. Physiology (Bethesda) 2023; 38:0. [PMID: 36125787 PMCID: PMC9705019 DOI: 10.1152/physiol.00014.2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/15/2022] [Accepted: 09/19/2022] [Indexed: 11/22/2022] Open
Abstract
"Precision nutrition" is an emerging area of nutrition research that focuses on understanding metabolic variability within and between individuals and helps develop customized dietary plans and interventions to maintain optimal individual health. It encompasses nutritional genomic (gene-nutrient interactions), epigenetic, microbiome, and environmental factors. Obesity is a complex disease that is affected by genetic and environmental factors and thus a relevant target of precision nutrition-based approaches. Recent studies have shown significant associations between obesity phenotypes (body weight, body mass index, waist circumference, and central and regional adiposity) and genetic variants, epigenetic factors (DNA methylation and noncoding RNA), microbial species, and environment (sociodemographics and physical activity). Additionally, studies have also shown that the interactions between genetic variants, microbial metabolites, and epigenetic factors affect energy balance and adiposity. These include variants in FTO, MC4R, PPAR, APOA, and FADS genes, DNA methylation in CpG island regions, and specific miRNAs and microbial species such as Firmicutes, Bacteriodes, Clostridiales, etc. Similarly, studies have shown that microbial metabolites, folate, B-vitamins, and short-chain fatty acids interact with miRNAs to influence obesity phenotypes. With the advent of next-generation sequencing and analytical approaches, the advances in precision nutrition have the potential to lead to new paradigms, which can further lead to interventions or customized treatments specific to individuals or susceptible groups of individuals. This review highlights the recent advances in precision nutrition as applied to obesity and projects the importance of precision nutrition in obesity and weight management.
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Affiliation(s)
- V Saroja Voruganti
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, North Carolina
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Dhanapal ACTA, Wuni R, Ventura EF, Chiet TK, Cheah ESG, Loganathan A, Quen PL, Appukutty M, Noh MFM, Givens I, Vimaleswaran KS. Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia. Nutrients 2022; 14:5108. [PMID: 36501140 PMCID: PMC9740135 DOI: 10.3390/nu14235108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/16/2022] [Accepted: 11/25/2022] [Indexed: 12/02/2022] Open
Abstract
Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence across the coexisting ethnicities in Malaysia. To tackle malnutrition and related conditions in Malaysia, research in the new and evolving field of nutrigenetics and nutrigenomics is essential. As part of the Gene-Nutrient Interactions (GeNuIne) Collaboration, the Nutrigenetics and Nutrigenomics Research and Training Unit (N2RTU) aims to solve the malnutrition paradox. This review discusses and presents a conceptual framework that shows the pathway to implementing and strengthening precision nutrition strategies in Malaysia. The framework is divided into: (1) Research and (2) Training and Resource Development. The first arm collects data from genetics, genomics, transcriptomics, metabolomics, gut microbiome, and phenotypic and lifestyle factors to conduct nutrigenetic, nutrigenomic, and nutri-epigenetic studies. The second arm is focused on training and resource development to improve the capacity of the stakeholders (academia, healthcare professionals, policymakers, and the food industry) to utilise the findings generated by research in their respective fields. Finally, the N2RTU framework foresees its applications in artificial intelligence and the implementation of precision nutrition through the action of stakeholders.
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Affiliation(s)
- Anto Cordelia T. A. Dhanapal
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Ramatu Wuni
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK
| | - Eduard F. Ventura
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK
| | - Teh Kuan Chiet
- Centre for Community Health Studies (ReaCH), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia
| | - Eddy S. G. Cheah
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Annaletchumy Loganathan
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Phoon Lee Quen
- Centre for Biomedical and Nutrition Research, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
| | - Mahenderan Appukutty
- Faculty of Sports Science and Recreation, Universiti Teknologi MARA, Shah Alam 40450, Malaysia
- Nutrition Society of Malaysia, Jalan PJS 1/48 off Jalan Klang Lama, Petaling Jaya 46150, Malaysia
| | - Mohd F. M. Noh
- Institute for Medical Research, National Institutes of Health, Jalan Setia Murni U13/52, Shah Alam 40170, Malaysia
| | - Ian Givens
- Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, UK
| | - Karani Santhanakrishnan Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK
- Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, UK
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8
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O'Hara C, O'Sullivan A, Gibney ER. A Clustering Approach to Meal-Based Analysis of Dietary Intakes Applied to Population and Individual Data. J Nutr 2022; 152:2297-2308. [PMID: 35816468 PMCID: PMC9535445 DOI: 10.1093/jn/nxac151] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/08/2022] [Accepted: 07/04/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Examination of meal intakes can elucidate the role of individual meals or meal patterns in health not evident by examining nutrient and food intakes. To date, meal-based research has been limited to focus on population rather than individual intakes, without considering portions or nutrient content when characterizing meals. OBJECTIVES We aimed to characterize meals commonly consumed, incorporating portions and nutritional content, and to determine the accuracy of nutrient intake estimates using these meals at both population and individual levels. METHODS The 2008-2010 Irish National Adult Nutrition Survey (NANS) data were used. A total of 1500 participants, with a mean ± SD age of 44.5 ± 17.0 y and BMI of 27.1 ± 5.0 kg/m2, recorded their intake using a 4-d weighed food diary. Food groups were identified using k-means clustering. Partitioning around the medoids clustering was used to categorize similar meals into groups (generic meals) based on their Nutrient Rich Foods Index (NRF9.3) score and the food groups that they contained. The nutrient content for each generic meal was defined as the mean content of the grouped meals. Seven standard portion sizes were defined for each generic meal. Mean daily nutrient intakes were estimated using the original and the generic data. RESULTS The 27,336 meals consumed were aggregated to 63 generic meals. Effect sizes from the comparisons of mean daily nutrient intakes (from the original compared with generic meals) were negligible or small, with P values ranging from <0.001 to 0.941. When participants were classified according to nutrient-based guidelines (high, adequate, or low), the proportion of individuals who were classified into the same category ranged from 55.3% to 91.5%. CONCLUSIONS A generic meal-based method can estimate nutrient intakes based on meal rather than food intake at the sample population and individual levels. Future work will focus on incorporating this concept into a meal-based dietary intake assessment tool.
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Affiliation(s)
- Cathal O'Hara
- Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.,UCD Institute of Food and Health, University College Dublin, Dublin, Ireland.,School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Aifric O'Sullivan
- UCD Institute of Food and Health, University College Dublin, Dublin, Ireland.,School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Eileen R Gibney
- Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.,UCD Institute of Food and Health, University College Dublin, Dublin, Ireland.,School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
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Cifuentes L, Hurtado A. MD, Eckel-Passow J, Acosta A. Precision Medicine for Obesity. DIGESTIVE DISEASE INTERVENTIONS 2021; 5:239-248. [PMID: 36203650 PMCID: PMC9534386 DOI: 10.1055/s-0041-1729945] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Obesity is a multifactorial disease with a variable and underwhelming weight loss response to current treatment approaches. Precision medicine proposes a new paradigm to improve disease classification based on the premise of human heterogeneity, with the ultimate goal of maximizing treatment effectiveness, tolerability, and safety. Recent advances in high-throughput biochemical assays have contributed to the partial characterization of obesity's pathophysiology, as well as to the understanding of the role that intrinsic and environmental factors, and their interaction, play in its development and progression. These data have led to the development of biological markers that either are being or will be incorporated into strategies to develop personalized lines of treatment for obesity. There are currently many ongoing initiatives aimed at this; however, much needs to be resolved before precision obesity medicine becomes common practice. This review aims to provide a perspective on the currently available data of high-throughput technologies to treat obesity.
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Affiliation(s)
- Lizeth Cifuentes
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Maria Daniela Hurtado A.
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic Health System La Crosse, Rochester, Minnesota
| | - Jeanette Eckel-Passow
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Andres Acosta
- Precision Medicine for Obesity Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota
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10
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Garcia-Bailo B, El-Sohemy A. Recent advances and current controversies in genetic testing for personalized nutrition. Curr Opin Clin Nutr Metab Care 2021; 24:289-295. [PMID: 33883417 DOI: 10.1097/mco.0000000000000763] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW Considerable interest in personalized nutrition exists among the general public, policymakers, healthcare organizations and the private sector, but there is also skepticism of its utility. The present review aims to provide a summary of current controversies in the field of nutrigenomics, and to highlight recent research on the potential impact of implementing genetic testing for personalized nutrition in practice. RECENT FINDINGS Numerous companies already offer genetic testing for personalized nutrition based on research developments in nutritional genomics. However, controversy exists over whethexr genetics contributes to interindividual responses to diet; the utility of single genetic variants versus genetic risk scores; the ability of DNA-based nutritional advice to elicit positive behavior change and health effects; and whether genetic information makes a difference on the type of dietary advice provided. Potential factors contributing to the discrepant viewpoints are discussed. SUMMARY Despite the existing controversies, a solid body of evidence demonstrates that genetic testing for personalized nutrition is a powerful tool to guide dietary recommendations to improve health and performance, and to elicit positive behavior change.
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Affiliation(s)
- Bibiana Garcia-Bailo
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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11
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Gkouskou KK, Grammatikopoulou MG, Vlastos I, Sanoudou D, Eliopoulos AG. Genotype-guided dietary supplementation in precision nutrition. Nutr Rev 2020; 79:1225-1235. [PMID: 33367884 DOI: 10.1093/nutrit/nuaa132] [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] [Indexed: 12/11/2022] Open
Abstract
Achieving adequate micronutrient status, while avoiding deficiencies, represents a challenge for people globally. Consequently, many individuals resort to oral nutrient supplementation (ONS) in order to correct suboptimal dietary intakes. Advances in the fields of nutrigenetics and nutritional genomics have identified differences in response to micronutrient supplementation according to genetic makeup, adding dietary supplement use to the clinician's toolkit in the precision nutrition era. This review focuses on published evidence linking genetic variants to the responses associated with some of the most popular dietary supplements. With an increasing number of health professionals becoming involved in the prescription of ONS, identifying and matching individuals to the appropriate dietary supplement according to their genotype is important for achieving optimal health benefits and micronutrient equilibrium, while reducing the adverse events and financial costs often associated with excessive ONS.
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Affiliation(s)
- Kalliopi K Gkouskou
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Embiodiagnostics, Biology Research Company, Heraklion, Crete, Greece
| | - Maria G Grammatikopoulou
- Department of Nutritional Sciences and Dietetics, Faculty of Health Sciences, International Hellenic University, Thessaloniki, Greece
| | - Ioannis Vlastos
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Despina Sanoudou
- Clinical Genomics and Pharmacogenomics Unit, 4th Department of Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Aristides G Eliopoulos
- Department of Biology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Center for New Biotechnologies and Precision Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Center of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
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12
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Horne JR, Gilliland JA, Vohl MC, Madill J. Exploring Attitudes, Subjective Norms and Perceived Behavioural Control in a Genetic-Based and a Population-Based Weight Management Intervention: A One-Year Randomized Controlled Trial. Nutrients 2020; 12:E3768. [PMID: 33302460 PMCID: PMC7764748 DOI: 10.3390/nu12123768] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Several studies demonstrate that the provision of personalized lifestyle advice, based on genetics, can help motivate individuals to engage in greater nutrition and physical activity changes compared to the provision of population-based advice. The theoretical mechanism behind this phenomenon is poorly understood. The objective of this study was to determine the impact of providing genetically tailored and population-based lifestyle advice on key constructs of the Theory of Planned Behaviour (TPB). MATERIALS AND METHODS A pragmatic, cluster randomized controlled trial (n = 140) took place at the East Elgin Family Health Team, in Aylmer, Ontario, Canada. Participants were primarily Caucasian females enrolled in a weight management program (BMI ≥ 25.0 kg/m2). Weight management program groups were randomized (1:1) to receive a population-based lifestyle intervention for weight management (Group Lifestyle Balance™ (GLB)) or a lifestyle genomics (LGx)-based lifestyle intervention for weight management (GLB+LGx). Attitudes, subjective norms and perceived behavioural control were measured at baseline, immediately after receiving a report of population-based or genetic-based recommendations and after 3-, 6- and 12-month follow-ups. Linear mixed models were conducted, controlling for measures of actual behavioural control. All analyses were intention-to-treat by originally assigned groups. RESULTS Significant changes (p < 0.05) in attitudes, subjective norms, and perceived behavioural control tended to be short-term in the GLB group and long-term for the GLB+LGx group. Short-term and long-term between-group differences in measures of subjective norms were discovered, favouring the GLB+LGx group. CONCLUSIONS The TPB can help provide a theoretical explanation for studies demonstrating enhanced behaviour change with genetic-based lifestyle interventions. CLINICAL TRIAL REGISTRATION NCT03015012.
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Affiliation(s)
- Justine R. Horne
- Health and Rehabilitation Sciences, The University of Western Ontario, London, ON N6A 3K7, Canada
- The East Elgin Family Health Team, Aylmer, ON N5H 1K9, Canada
- Human Environments Analysis Laboratory, The University of Western Ontario, London, ON N6A 3K7, Canada;
- Centre Nutrition, Santé et Société (NUTRISS) and Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec, QC G1V 0A6, Canada;
| | - Jason A. Gilliland
- Human Environments Analysis Laboratory, The University of Western Ontario, London, ON N6A 3K7, Canada;
- Department of Geography, Western University, London, ON N6A 3K7, Canada
- School of Health Studies, Western University, London, ON N6A 3K7, Canada
- Department of Paediatrics, Western University, London, ON N6A 3K7, Canada
- Department of Epidemiology and Biostatistics, Western University, London, ON N6A 3K7, Canada
- Children’s Health Research Institute, London, ON N6A 3K7, Canada
- Lawson Health Research Institute, London, ON N6A 3K7, Canada;
| | - Marie-Claude Vohl
- Centre Nutrition, Santé et Société (NUTRISS) and Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec, QC G1V 0A6, Canada;
| | - Janet Madill
- Lawson Health Research Institute, London, ON N6A 3K7, Canada;
- School of Food and Nutritional Sciences, Brescia University College, The University of Western Ontario, London, ON N6A 3K7, Canada
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