dc.contributor.author | Jimenez González, Carolina | |
dc.contributor.author | Alonso Peña, Marta | |
dc.contributor.author | Argos Vélez, Paula | |
dc.contributor.author | Crespo, Javier | |
dc.contributor.author | Iruzubieta Coz, Paula | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2025-05-29T14:34:45Z | |
dc.date.available | 2025-05-29T14:34:45Z | |
dc.date.issued | 2025 | |
dc.identifier.issn | 2072-6643 | |
dc.identifier.uri | https://hdl.handle.net/10902/36462 | |
dc.description.abstract | Gut microbiota has a crucial role in the pathophysiology of metabolic-associated steatotic liver disease (MASLD), influencing various metabolic mechanisms and contributing to the development of the disease. Dietary interventions targeting gut microbiota have shown potential in modulating microbial composition and mitigating MASLD progression. In this context, the integration of multi-omics analysis and artificial intelligence (AI) in personalized nutrition offers new opportunities for tailoring dietary strategies based on individual microbiome profiles and metabolic responses. The use of chatbots and other AI-based health solutions offers a unique opportunity to democratize access to health interventions due to their low cost, accessibility, and scalability. Future research should focus on the clinical validation of AI-powered dietary strategies, integrating microbiome-based therapies and precision nutrition approaches. Establishing standardized protocols and ethical guidelines will be crucial for implementing AI in MASLD management, paving the way for a more personalized, data-driven approach to disease prevention and treatment. | es_ES |
dc.description.sponsorship | Funding: This project has received funding from the European Horizon’s research and innovation program HORIZON-HLTH-2022-STAYHLTH-02 (agreement No. 101095679), Spanish Instituto de Salud Carlos III-FEDER Grant (FIS-PI22/01853) and European Union-NextGenerationEU (PMP21/00112). The funding sources were not involved in the research design or preparation of the article. | es_ES |
dc.format.extent | 23 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Nutrients, 2025, 17(9), 1580 | es_ES |
dc.subject.other | MASLD | es_ES |
dc.subject.other | Gut microbiota | es_ES |
dc.subject.other | Multi-omics | es_ES |
dc.subject.other | Dietary patterns | es_ES |
dc.subject.other | Lifestyle modifications | es_ES |
dc.subject.other | Artificial intelligence | es_ES |
dc.title | Unraveling MASLD: the role of gut microbiota, dietary modulation, and AI-driven lifestyle interventions | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.3390/nu17091580 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.3390/nu17091580 | |
dc.type.version | publishedVersion | es_ES |