Articles producció científica> Bioquímica i Biotecnologia

Guidance and Position of RINN22 regarding Precision Nutrition and Nutriomics

  • Identification data

    Identifier: imarina:9435537
    Handle: https://hdl.handle.net/20.500.11797/imarina9435537
    Authors:
    Ramos-Lopez, OmarAssmann, Tais SilveiraMunoz, Elcy Yaned AstudilloBaquerizo-Sedano, LuisBarron-Cabrera, ElisaBernal, Claudio AdrianBressan, JosefinaCuevas-Sierra, AmandaDavalos, Albertode la Cruz-mosso, Ulisesde la Garza, Ana LauraDe Luis, Daniel Ade la Garza, Rocio I DiazDos Santos, KarinaFernandez-Condori, Roxana CarlaFernandez-Quintela, AlfredoDiaz, Diego F GarciaGonzalez-Becerra, KarinaLopes Rosado, Elianede Las Hazas, Maria-Carmen LopezAlejandre, Bertha Araceli MarinMartin, Alberto AngelMartinez-Lopez, ErikaMartinez-Urbistondo, DiegoMilagro, Fermin IHermsdorff, Helen Hermana MMuguerza, BegonaNicoletti, Carolina FRivas, Ana Maria ObregonParra-Rojas, IselaPortillo, Maria PuySantos, Jose LSteemburgo, ThaisTejero, Maria ElizabethTeran, Anny CristinaTrevino, VictorVizmanos, BarbaraMartinez, J Alfredo
    Abstract:
    -analysis performed using DiSc 1.4, Review Manager 5.4, and Stata SE 17.0 software to calculate diagnostic metrics such as overall sensitivity and specificity. The overall diagnostic performance of the AI was assessed. Meta-regression analysis explored sources of heterogeneity. Results: A total of 7 articles involving 1,669 GC patients were included. The analysis showed that AI had a sensitivity of 0.90 (95% CI: 0.84-0.94) and a specificity of 0.95 (95% CI: 0.91-0.98) for the diagnosis of GC LNM, with significant heterogeneity across studies. The area under the curve was 0.97, indicating an excellent diagnostic value. Meta-regression analysis showed that the 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 fi eld 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

  • Others:

    Author, as appears in the article.: Ramos-Lopez, Omar; Assmann, Tais Silveira; Munoz, Elcy Yaned Astudillo; Baquerizo-Sedano, Luis; Barron-Cabrera, Elisa; Bernal, Claudio Adrian; Bressan, Josefina; Cuevas-Sierra, Amanda; Davalos, Alberto; de la Cruz-mosso, Ulises; de la Garza, Ana Laura; De Luis, Daniel A; de la Garza, Rocio I Diaz; Dos Santos, Karina; Fernandez-Condori, Roxana Carla; Fernandez-Quintela, Alfredo; Diaz, Diego F Garcia; Gonzalez-Becerra, Karina; Lopes Rosado, Eliane; de Las Hazas, Maria-Carmen Lopez; Alejandre, Bertha Araceli Marin; Martin, Alberto Angel; Martinez-Lopez, Erika; Martinez-Urbistondo, Diego; Milagro, Fermin I; Hermsdorff, Helen Hermana M; Muguerza, Begona; Nicoletti, Carolina F; Rivas, Ana Maria Obregon; Parra-Rojas, Isela; Portillo, Maria Puy; Santos, Jose L; Steemburgo, Thais; Tejero, Maria Elizabeth; Teran, Anny Cristina; Trevino, Victor; Vizmanos, Barbara; Martinez, J Alfredo
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Muguerza Marquínez, Maria Begoña
    Keywords: Cocoa extract Energy-restricted diets Fa Gene Guide International society Metabolomics Nutriepigenetics Nutrigenetics Nutrigenomics Nutrimetabolomic Nutrimetabolomics Nutrimetagenomics Nutriomics Obesity Overweight Personalized nutrition Precision nutrition Rinn22
    Abstract: -analysis performed using DiSc 1.4, Review Manager 5.4, and Stata SE 17.0 software to calculate diagnostic metrics such as overall sensitivity and specificity. The overall diagnostic performance of the AI was assessed. Meta-regression analysis explored sources of heterogeneity. Results: A total of 7 articles involving 1,669 GC patients were included. The analysis showed that AI had a sensitivity of 0.90 (95% CI: 0.84-0.94) and a specificity of 0.95 (95% CI: 0.91-0.98) for the diagnosis of GC LNM, with significant heterogeneity across studies. The area under the curve was 0.97, indicating an excellent diagnostic value. Meta-regression analysis showed that the 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 fi eld 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 fora precision tailored health. (c) 2024 The Author(s). Published by S. Karger AG, Basel
    Thematic Areas: Food science Genetics Genetics & heredity Medicine (miscellaneous) Nutrition & dietetics
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: begona.muguerza@urv.cat
    Author identifier: 0000-0001-7384-8588
    Record's date: 2025-02-08
    Paper version: info:eu-repo/semantics/publishedVersion
    Paper original source: Lifestyle Genomics. 18 (1): 1-19
    APA: Ramos-Lopez, Omar; Assmann, Tais Silveira; Munoz, Elcy Yaned Astudillo; Baquerizo-Sedano, Luis; Barron-Cabrera, Elisa; Bernal, Claudio Adrian; Bressan (2025). Guidance and Position of RINN22 regarding Precision Nutrition and Nutriomics. Lifestyle Genomics, 18(1), 1-19. DOI: 10.1159/000542789
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2025
    Publication Type: Journal Publications

  • Keywords:

    Food Science,Genetics,Genetics & Heredity,Medicine (Miscellaneous),Nutrition & Dietetics
    Cocoa extract
    Energy-restricted diets
    Fa
    Gene
    Guide
    International society
    Metabolomics
    Nutriepigenetics
    Nutrigenetics
    Nutrigenomics
    Nutrimetabolomic
    Nutrimetabolomics
    Nutrimetagenomics
    Nutriomics
    Obesity
    Overweight
    Personalized nutrition
    Precision nutrition
    Rinn22
    Food science
    Genetics
    Genetics & heredity
    Medicine (miscellaneous)
    Nutrition & dietetics

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