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Sjöblom L, Hantikainen E, Dahlgren A, Trolle Lagerros Y, Bonn SE. The effect of an app-based dietary education on dietary intake and cardiometabolic risk markers in people with type 2 diabetes: results from a randomized controlled trial. Nutr J 2025; 24:2. [PMID: 39754157 PMCID: PMC11699681 DOI: 10.1186/s12937-024-01069-2] [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: 09/10/2024] [Accepted: 12/22/2024] [Indexed: 01/06/2025] Open
Abstract
BACKGROUND mHealth, i.e. mobile-health, strategies may be used as a complement to regular care to support healthy dietary habits in primary care patients. We evaluated the effect of a 12-week smartphone-based dietary education on overall diet quality (primary outcome), and dietary intake and cardiometabolic risk markers (secondary outcomes) in people with type 2 diabetes. METHODS In this two-armed randomized clinical trial, people with type 2 diabetes were recruited within a primary care setting and randomized 1:1 to a smartphone-delivered dietary education for 12 weeks or a control group receiving regular care only. Dietary intake and cardiometabolic risk markers were measured at baseline and after 3 months. Diet was assessed using a 4-day dietary record and a food frequency questionnaire (FFQ). Overall diet quality was estimated with a Nordic Nutrition Recommendation (NNR) score and specific dietary intake was estimated for 13 food groups/nutrients. We used linear regression models to examine differences in change from baseline to the 3-month follow-up between the intervention and control group, adjusted for baseline values of each outcome variable. RESULTS The study included 129 participants (67 in the intervention group and 62 controls), of whom 61% were men. At baseline, mean age was 63.0 years and mean body mass index was 29.8 kg/m2. When analyzing dietary record data, we found no effect of the intervention on diet quality or intake, however, the control group had increased their score by 1.6 points (95%CI: -2.9, -0.26) compared to the intervention group. In the analyses of FFQ data, the intervention group had lowered their daily intake in grams of saturated (β = -4.1, 95%CI: -7.9, -0.2) and unsaturated (mono- and polyunsaturated) (β = -6.9, 95%CI: -13.5, -0.4) fat more than the control group. The intervention group also presented lower serum triglycerides levels than the controls (β = -0.33, 95%CI: -0.60, -0.05). No statistical differences were found in any other dietary variables or cardiometabolic risk markers. CONCLUSION While we found no effect on overall diet quality, our findings suggest that a smartphone-based dietary education might impact dietary fat intake and corresponding cardiometabolic risk markers in people with type 2 diabetes. Our results should be considered hypothesis-generating and need to be confirmed in future studies. TRIAL REGISTRATION Registered at ClinicalTrials.gov ( NCT03784612 ). Registered 24 December 2018.
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Affiliation(s)
- Linnea Sjöblom
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Eugeniahemmet T2:02, Stockholm, SE-171 76, Sweden.
| | - Essi Hantikainen
- Institute for Biomedicine, Eurac Research, Bolzano, 39100, Italy
| | - Anna Dahlgren
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Eugeniahemmet T2:02, Stockholm, SE-171 76, Sweden
| | | | - Stephanie E Bonn
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Eugeniahemmet T2:02, Stockholm, SE-171 76, Sweden
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Ramos-Lopez O, Assmann TS, Astudillo Muñoz EY, Baquerizo-Sedano L, Barrón-Cabrera E, Bernal CA, Bressan J, Cuevas-Sierra A, Dávalos A, De la Cruz-Mosso U, De la Garza AL, De Luis DA, Díaz de la Garza RI, Dos Santos K, Fernández-Condori RC, Fernández-Quintela A, Garcia Diaz DF, Gonzalez-Becerra K, Lopes Rosado E, López de Las Hazas MC, Marín Alejandre BA, Angel Martin A, Martinez-Lopez E, Martínez-Urbistondo D, Milagro FI, Hermsdorff HHM, Muguerza B, Nicoletti CF, Obregón Rivas AM, Parra-Rojas I, Portillo MP, Santos JL, Steemburgo T, Tejero ME, Terán AC, Treviño V, Vizmanos B, Martinez JA. Guidance and Position of RINN22 regarding Precision Nutrition and Nutriomics. Lifestyle Genom 2024; 18:1-19. [PMID: 39617000 PMCID: PMC11844698 DOI: 10.1159/000542789] [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: 08/02/2024] [Accepted: 11/19/2024] [Indexed: 01/16/2025] Open
Abstract
BACKGROUND Precision nutrition is based on the integration of individual's phenotypical and biological characteristics including genetic variants, epigenetic marks, gut microbiota profiles, and metabolite fingerprints as well as medical history, lifestyle practices, and environmental and cultural factors. Thus, nutriomics areas including nutrigenomics, nutrigenetics, nutriepigenetics, nutrimetabolomics, and nutrimetagenomics have emerged to comprehensively understand the complex interactions between nutrients, diet, and the human body's molecular processes through precision nutrition. SUMMARY This document from the Ibero-American Network of Nutriomics and Precision Nutrition (RINN22; https://rinn22.com/) provides a comprehensive overview of the concepts of precision nutrition approaches to guide their application in clinical and public health as well as establish the position of RINN22 regarding the current and future state of precision nutrition. KEY MESSAGES The progress and participation of nutriomics to precision nutrition is an essential pillar for addressing diet-related diseases and developing innovative managing strategies, which will be promoted by advances in bioinformatics, machine learning, and integrative software, as well as the description of specific novel biomarkers. In this context, synthesizing and critically evaluating the latest developments, potential applications, and future needs in the field of nutrition is necessary with a holistic perspective, incorporating progress in omics technologies aimed at precision nutrition interventions. This approach must address and confront healthy, social, food security, physically active lifestyle, sanitation, and sustainability challenges with preventive, participatory, and predictive strategies of personalized, population, and planetary nutrition for a precision tailored health.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana, Mexico
| | - Taís Silveira Assmann
- Graduate Program in Medical Sciences, Endocrinology, Department of Internal Medicine, Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Elcy Yaned Astudillo Muñoz
- Grupo de Investigación Gerencia del Cuidado, Facultad de Ciencias de la Salud, Universidad Libre Pereira, Pereira, Colombia
| | | | - Elisa Barrón-Cabrera
- Facultad de Ciencias de la Nutrición y Gastronomía, Universidad Autónoma de Sinaloa, Culiacan, Mexico
| | - Claudio Adrián Bernal
- Cátedra de Bromatología y Nutrición, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Josefina Bressan
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Brazil
| | - Amanda Cuevas-Sierra
- Precision Nutrition and Cardiometabolic Health, IMDEA-Alimentacion Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI), UAM+CSIC, Madrid, Spain
| | - Alberto Dávalos
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Epigenetics of Lipid Metabolism, Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentación, CEI UAM+CSIC, Madrid, Spain
| | - Ulises De la Cruz-Mosso
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Ana Laura De la Garza
- Universidad Autónoma de Nuevo León, Facultad de Salud Pública y Nutrición, Centro de Investigación en Nutrición y Salud Pública, Monterrey, Mexico
| | - Daniel A. De Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Investigation, Hospital Clinico Universitario, University of Valladolid, Valladolid, Spain
| | | | - Karina Dos Santos
- Graduate Program in Molecular and Cellular Biology, Federal University of the State of Rio de Janeiro (PPGBMC/UNIRIO), Rio de Janeiro, Brazil
| | | | - Alfredo Fernández-Quintela
- Nutrition and Obesity Group, Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria-Gasteiz, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Vitoria-Gasteiz, Spain
| | - Diego F. Garcia Diaz
- Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Karina Gonzalez-Becerra
- Instituto de Investigación en Genética Molecular, Departamento de Ciencias Médicas y de la Vida, Centro Universitario de la Ciénega, Universidad de Guadalajara, Ocotlán, Mexico
| | - Eliane Lopes Rosado
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - María-Carmen López de Las Hazas
- Laboratory of Epigenetics of Lipid Metabolism, Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentación, CEI UAM+CSIC, Madrid, Spain
| | | | - Alberto Angel Martin
- Escuela de Nutrición y Dietética, Universidad Industrial de Santander, Bucaramanga, Colombia
| | - Erika Martinez-Lopez
- Instituto de Nutrigenética y Nutrigenómica Traslacional, Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Diego Martínez-Urbistondo
- Departamento de Medicina Interna, Area de Medicina Vascular-Madrid, Clinica Universidad de Navarra, Madrid, Spain
| | - Fermin I. Milagro
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | | | - Begoña Muguerza
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Nutrigenomics Research Group, Tarragona, Spain
| | | | - Ana Maria Obregón Rivas
- Escuela de Nutrición y Dietética, Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Concepción, Chile
| | - Isela Parra-Rojas
- Laboratorio de Investigación en Obesidad y Diabetes, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de Los Bravo, Mexico
| | - Maria Puy Portillo
- Nutrition and Obesity Group, Department of Nutrition and Food Science, Faculty of Pharmacy and Lucio Lascaray Research Center, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Vitoria-Gasteiz, Spain
| | - José L. Santos
- Department of Nutrition, Diabetes, and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Thais Steemburgo
- Graduate Program in Food, Nutrition, and Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Elizabeth Tejero
- Laboratorio de Nutrigenómica y Nutrigenética, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Anny Cristina Terán
- Hospital Verdi Cevallos Balda, Ministerio de Salud Pública del Ecuador, Portoviejo, Ecuador
| | - Victor Treviño
- Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey, Mexico
| | - Bárbara Vizmanos
- Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - J. Alfredo Martinez
- Precision Nutrition Program, Research Institute on Food and Health Sciences IMDEA Food, CSIC-UAM, Madrid, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Centre of Medicine and Endocrinology, University of Valladolid, Valladolid, Spain
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Albin J, Williams DR, Stutts JT, Santander G, Gonzalez AL, Arensberg MB. Viewpoint: Better Late Than Never: Nutrition Education Opportunities for Physicians in the United States. JOURNAL OF CME 2024; 13:2418544. [PMID: 39563713 PMCID: PMC11574949 DOI: 10.1080/28338073.2024.2418544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 09/25/2024] [Accepted: 10/11/2024] [Indexed: 11/21/2024]
Abstract
Diet and nutrition have an important impact on chronic disease and mortality and have spurred growth in the food is medicine approach. Yet, in the United States (US), post-graduate nutrition education and training for physicians remain limited. This may change as American policies focused on nutrition security, quality care and health equity advance and create new incentives for practicing clinicians to engage in nutrition-focused education and training. This viewpoint summarises why nutrition is essential for quality medical care, nutrition knowledge of US physicians, evolving US policies and advocacy for nutrition in medicine and opportunities for nutrition-focused continuing medical education and training. Clinicians trained in nutrition are important to lead innovation and research in nutrition-focused clinical care and to define best practices and optimise population health.
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Affiliation(s)
- Jaclyn Albin
- Culinary Medicine Program, UT Southwestern Medical Center, Dallas ,Texas, USA
| | | | - John T. Stutts
- Pediatric Nutrition, Abbott Nutrition, Columbus, Ohio, USA
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Abeltino A, Hatem D, Serantoni C, Riente A, De Giulio MM, De Spirito M, De Maio F, Maulucci G. Unraveling the Gut Microbiota: Implications for Precision Nutrition and Personalized Medicine. Nutrients 2024; 16:3806. [PMID: 39599593 PMCID: PMC11597134 DOI: 10.3390/nu16223806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Revised: 10/31/2024] [Accepted: 11/05/2024] [Indexed: 11/29/2024] Open
Abstract
Recent studies have shown a growing interest in the complex relationship between the human gut microbiota, metabolism, and overall health. This review aims to explore the gut microbiota-host association, focusing on its implications for precision nutrition and personalized medicine. The objective is to highlight how gut microbiota modulate metabolic and immune functions, contributing to disease susceptibility and wellbeing. The review synthesizes recent research findings, analyzing key studies on the influence of gut microbiota on lipid and carbohydrate metabolism, intestinal health, neurobehavioral regulation, and endocrine signaling. Data were drawn from both experimental and clinical trials examining microbiota-host interactions relevant to precision nutrition. Our findings highlight the essential role of gut microbiota-derived metabolites in regulating host metabolism, including lipid and glucose pathways. These metabolites have been found to influence immune responses and gut barrier integrity. Additionally, the microbiota impacts broader physiological processes, including neuroendocrine regulation, which could be crucial for dietary interventions. Therefore, understanding the molecular mechanisms of dietary-microbiota-host interactions is pivotal for advancing personalized nutrition strategies. Tailored dietary recommendations based on individual gut microbiota compositions hold promise for improving health outcomes, potentially revolutionizing future healthcare approaches across diverse populations.
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Affiliation(s)
- Alessio Abeltino
- Metabolic Intelligence Lab, Department of Neuroscience, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168 Rome, Italy; (A.A.); (D.H.); (C.S.); (A.R.); (M.M.D.G.); (M.D.S.)
- UOC Physics for Life Sciences, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Duaa Hatem
- Metabolic Intelligence Lab, Department of Neuroscience, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168 Rome, Italy; (A.A.); (D.H.); (C.S.); (A.R.); (M.M.D.G.); (M.D.S.)
- UOC Physics for Life Sciences, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Cassandra Serantoni
- Metabolic Intelligence Lab, Department of Neuroscience, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168 Rome, Italy; (A.A.); (D.H.); (C.S.); (A.R.); (M.M.D.G.); (M.D.S.)
- UOC Physics for Life Sciences, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Alessia Riente
- Metabolic Intelligence Lab, Department of Neuroscience, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168 Rome, Italy; (A.A.); (D.H.); (C.S.); (A.R.); (M.M.D.G.); (M.D.S.)
- UOC Physics for Life Sciences, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Michele Maria De Giulio
- Metabolic Intelligence Lab, Department of Neuroscience, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168 Rome, Italy; (A.A.); (D.H.); (C.S.); (A.R.); (M.M.D.G.); (M.D.S.)
- UOC Physics for Life Sciences, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Marco De Spirito
- Metabolic Intelligence Lab, Department of Neuroscience, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168 Rome, Italy; (A.A.); (D.H.); (C.S.); (A.R.); (M.M.D.G.); (M.D.S.)
- UOC Physics for Life Sciences, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
| | - Flavio De Maio
- Department of Laboratory and Infectious Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
| | - Giuseppe Maulucci
- Metabolic Intelligence Lab, Department of Neuroscience, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168 Rome, Italy; (A.A.); (D.H.); (C.S.); (A.R.); (M.M.D.G.); (M.D.S.)
- UOC Physics for Life Sciences, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
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Li RL, Kang S. Rewriting cellular fate: epigenetic interventions in obesity and cellular programming. Mol Med 2024; 30:169. [PMID: 39390356 PMCID: PMC11465847 DOI: 10.1186/s10020-024-00944-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Accepted: 10/01/2024] [Indexed: 10/12/2024] Open
Abstract
External constraints, such as development, disease, and environment, can induce changes in epigenomic patterns that may profoundly impact the health trajectory of fetuses and neonates into adulthood, influencing conditions like obesity. Epigenetic modifications encompass processes including DNA methylation, covalent histone modifications, and RNA-mediated regulation. Beyond forward cellular differentiation (cell programming), terminally differentiated cells are reverted to a pluripotent or even totipotent state, that is, cellular reprogramming. Epigenetic modulators facilitate or erase histone and DNA modifications both in vivo and in vitro during programming and reprogramming. Noticeably, obesity is a complex metabolic disorder driven by both genetic and environmental factors. Increasing evidence suggests that epigenetic modifications play a critical role in the regulation of gene expression involved in adipogenesis, energy homeostasis, and metabolic pathways. Hence, we discuss the mechanisms by which epigenetic interventions influence obesity, focusing on DNA methylation, histone modifications, and non-coding RNAs. We also analyze the methodologies that have been pivotal in uncovering these epigenetic regulations, i.e., Large-scale screening has been instrumental in identifying genes and pathways susceptible to epigenetic control, particularly in the context of adipogenesis and metabolic homeostasis; Single-cell RNA sequencing (scRNA-seq) provides a high-resolution view of gene expression patterns at the individual cell level, revealing the heterogeneity and dynamics of epigenetic regulation during cellular differentiation and reprogramming; Chromatin immunoprecipitation (ChIP) assays, focused on candidate genes, have been crucial for characterizing histone modifications and transcription factor binding at specific genomic loci, thereby elucidating the epigenetic mechanisms that govern cellular programming; Somatic cell nuclear transfer (SCNT) and cell fusion techniques have been employed to study the epigenetic reprogramming accompanying cloning and the generation of hybrid cells with pluripotent characteristics, etc. These approaches have been instrumental in identifying specific epigenetic marks and pathways implicated in obesity, providing a foundation for developing targeted therapeutic interventions. Understanding the dynamic interplay between epigenetic regulation and cellular programming is crucial for advancing mechanism and clinical management of obesity.
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Affiliation(s)
- Rui-Lin Li
- Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Jimo Road 150, Shanghai, 200120, China
| | - Sheng Kang
- Department of Cardiology, Shanghai East Hospital, School of Medicine, Tongji University, Jimo Road 150, Shanghai, 200120, China.
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Hinojosa-Nogueira D, Subiri-Verdugo A, Díaz-Perdigones CM, Rodríguez-Muñoz A, Vilches-Pérez A, Mela V, Tinahones FJ, Moreno-Indias I. Precision or Personalized Nutrition: A Bibliometric Analysis. Nutrients 2024; 16:2922. [PMID: 39275239 PMCID: PMC11397555 DOI: 10.3390/nu16172922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Revised: 08/16/2024] [Accepted: 08/26/2024] [Indexed: 09/16/2024] Open
Abstract
Food systems face the challenge of maintaining adequate nutrition for all populations. Inter-individual responses to the same diet have made precision or personalized nutrition (PN) an emerging and relevant topic. The aim of this study is to analyze the evolution of the PN field, identifying the principal actors and topics, and providing a comprehensive overview. Therefore, a bibliometric analysis of the scientific research available through the Web of Science (WOS) database was performed, revealing 2148 relevant papers up to June 2024. VOSviewer and the WOS platform were employed for the processing and analysis, and included an evaluation of diverse data such as country, author or most frequent keywords, among others. The analysis revealed a period of exponential growth from 2015 to 2023, with the USA, Spain, and England as the top contributors. The field of "Nutrition and Dietetics" is particularly significant, comprising nearly 33% of the total publications. The most highly cited institutions are the universities of Tufts, College Dublin, and Navarra. The relationship between nutrition, genetics, and omics sciences, along with dietary intervention studies, has been a defining factor in the evolution of PN. In conclusion, PN represents a promising field of research with significant potential for further advancement and growth.
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Affiliation(s)
- Daniel Hinojosa-Nogueira
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
| | - Alba Subiri-Verdugo
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
- Department of Medicine and Dermatology, Faculty of Medicine, University of Málaga, 29010 Malaga, Spain
| | - Cristina Mª Díaz-Perdigones
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
| | - Alba Rodríguez-Muñoz
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
- Department of Medicine and Dermatology, Faculty of Medicine, University of Málaga, 29010 Malaga, Spain
| | - Alberto Vilches-Pérez
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
| | - Virginia Mela
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
- Department of Medicine and Dermatology, Faculty of Medicine, University of Málaga, 29010 Malaga, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, 28029 Madrid, Spain
| | - Francisco J Tinahones
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
- Department of Medicine and Dermatology, Faculty of Medicine, University of Málaga, 29010 Malaga, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, 28029 Madrid, Spain
| | - Isabel Moreno-Indias
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, 29010 Malaga, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, 28029 Madrid, Spain
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