Żywienie Precyzyjne

Fundacja NutriGlobo

Żywienie i Systemy Żywnościowe

Nauka

dla zdrowia i długowieczności

Our experience in development of an Iodine-Biofortified Lettuce

Aneta Koronowicz et al. developed a health-oriented innovation at the University of Agriculture in Krakow within the Inkubator Innowacyjności 4.0 project. She created a dietary supplement based on lettuce biofortified with organic iodine compounds, which exhibits immunomodulatory properties and is intended to help prevent iodine deficiency. She propose this product as an alternative to traditional iodized table salt, offering potential health benefits such as reduced cardiovascular risk and support for the prevention and adjunctive treatment of COVID-19, due to its comprehensive nutritional and functional properties.

literatura

Wiedza, która ma znaczenie

Systems biology approaches to inform precision nutrition

This review highlights the role of systems biology and nutrigenomics in advancing precision nutrition by addressing interindividual variability in diet-related disease risk and responses to dietary interventions. The authors emphasize the importance of identifying metabotypes and understanding inter-organ crosstalk in inflammation and metabolism to stratify risk and predict responses. By integrating biological factors (e.g., age, sex, metabolic phenotypes, genomic profiles) with behavioral traits, systems biology enables targeted dietary recommendations that improve the efficacy of personalized nutrition interventions, particularly for cardio-metabolic health and disease prevention.
Mitchelson KAJ, Ní Chathail MB, Roche HM. Systems biology approaches to inform precision nutrition. Proc Nutr Soc. 2023 May;82(2):208-218. doi: 10.1017/S0029665123002732.

Systems biology of personalized nutrition

This article discusses systems biology in personalized nutrition, emphasizing integration of biological processes across tissues and their interactions with diet and the environment. It introduces “systems flexibility” for real-time assessment of metabolic and homeostatic responses to support individualized dietary recommendations. The review highlights examples involving macro- and micronutrients, genetic variation, and performance goals, and describes modeling approaches combining personalized diagnostics with nutritional interventions to optimize health and wellness outcomes.
van Ommen B, van den Broek T, de Hoogh I, van Erk M, van Someren E, Rouhani-Rankouhi T, Anthony JC, Hogenelst K, Pasman W, Boorsma A, Wopereis S. Systems biology of personalized nutrition. Nutr Rev. 2017 Aug 1;75(8):579-599. doi: 10.1093/nutrit/nux029. Erratum in: Nutr Rev. 2017 Aug 1;75(8):672. doi: 10.1093/nutrit/nux049. PMID: 28969366

Systems biology approaches to understand the effects of nutrition ...

This review highlights the application of systems biology in nutritional research to understand how dietary components influence health and prevent disease. By integrating multiple “-omics” approaches—including transcriptomics, proteomics, and metabolomics—systems biology generates comprehensive datasets that enable predictive modeling of individual responses to nutrition. The authors emphasize the role of bioactive food components in counteracting oxidative stress, a key factor in aging and the development of diseases such as neurodegenerative disorders, cancer, metabolic syndrome, and cardiovascular disease. Overall, systems biology provides a powerful framework for elucidating the molecular mechanisms of diet-mediated health benefits and for advancing precision nutrition strategies.
Badimon L, Vilahur G, Padro T. Systems biology approaches to understand the effects of nutrition and promote health. Br J Clin Pharmacol. 2017 Jan;83(1):38-45. doi: 10.1111/bcp.12965. Epub 2016 May 29. PMID: 27062443

Personalized nutrition therapy in critical care ...goals for personalization of nutrition

This article presents 10 expert recommendations for personalized nutrition in critical care to optimize ICU outcomes. Early nutrition (EN preferred, PN if needed) should start within 48 hours. Indirect calorimetry is recommended to guide energy targets (~70% initially, then increasing), while protein should begin low (<0.8 g/kg/d) and be progressively increased (≥1.2 g/kg/d) based on clinical status and kidney function. Monitoring of energy/protein delivery, micronutrients, and muscle status (ultrasound, CT, BIA) is advised. Future approaches include intermittent feeding, anabolic nutrients (HMB, creatine, leucine), and integration of rehabilitation or anabolic agents to support recovery and preserve muscle mass.
Wischmeyer PE, Bear DE, Berger MM, De Waele E, Gunst J, McClave SA, Prado CM, Puthucheary Z, Ridley EJ, Van den Berghe G, van Zanten ARH. Personalized nutrition therapy in critical care: 10 expert recommendations. Crit Care. 2023 Jul 4;27(1):261. doi: 10.1186/s13054-023-04539-x. PMID: 37403125

Precision nutrition: A systematic literature review

This systematic literature review examines the application of machine learning (ML) in precision nutrition, analyzing 60 primary studies out of 4,930 retrieved papers. The review identifies fifteen key problems across seven nutrition and health domains and classifies ML tasks into regression, classification, recommendation, and clustering, mostly using supervised approaches. Across the studies, 30 ML algorithms were applied, with 19 used multiple times, and models were evaluated using 23 different metrics. The findings indicate that integrating ML into precision nutrition can effectively manage complex, multi-dimensional data, improve predictive performance, and enable personalized dietary recommendations, highlighting its potential to enhance research and practical applications in individualized nutrition strategies.
Kirk D, Catal C, Tekinerdogan B. Precision nutrition: A systematic literature review. Comput Biol Med. 2021 Jun;133:104365. doi: 10.1016/j.compbiomed.2021.104365. Epub 2021 Apr 7. PMID: 33866251

Precision nutrition and food biomanufacturing for space missions...

TThis review addresses challenges of long-duration spaceflight nutrition and strategies in precision nutrition and biomanufacturing for autonomous life-support systems. Space-specific stressors—microgravity, radiation, and circadian disruption—affect metabolism, immune function, and gut microbiota, limiting conventional diets. It highlights multi-omics monitoring, AI-driven feedback, and digital twins for personalized nutrition, alongside microbial, plant, and cellular biomanufacturing, as well as technologies like 3D/4D food printing and closed-loop bioreactors integrating food production, metabolism, and waste recycling. Key challenges include reactor stability, biosafety, and multi-species culture management, emphasizing the need for intelligent, self-regulating systems for real-time, dietary support in space.
Liu J, Zeng D, Hu B, Wang W, Hu S, Cifuentes A, Liao G, Long M, Zhao H, Lu W. Precision nutrition and food biomanufacturing for space missions: Toward intelligent and bioregenerative life-support systems. Food Res Int. 2026 May 1;231(Pt 2):118803. doi: 10.1016/j.foodres.2026.118803. Epub 2026 Feb 24. PMID: 41819942.

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

This review addresses challenges and opportunities in precision nutrition driven by interindividual variability in metabolic responses to diet (metabolic heterogeneity). It highlights major sources of variability, including the host genome, gut microbiome, and brain connectome, and their interactions with dietary intake. Advances in multimodal data collection and artificial intelligence enable predictive models integrating genetic, microbial, and brain activity data to forecast individual dietary responses. The review also discusses n-of-1 study designs, wearable technologies, and machine learning to support individualized nutritional decision-making, along with current challenges and future implementation directions.
Fu Y, Zhang K, Miao Z, Yang G, Huang Y, Zheng JS. Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence. Adv Sci (Weinh). 2026 Mar;13(17):e21111. doi: 10.1002/advs.202521111. Epub 2026 Feb 11. PMID: 41669854.

Multiomics to Predict Individual Responses to Weight Loss Interventions...

This review examines challenges and opportunities in precision nutrition driven by interindividual metabolic variability. It highlights key sources of heterogeneity, including the host genome, gut microbiome, and brain connectome, and their interactions with diet. Advances in multimodal data collection and artificial intelligence enable predictive models integrating genetic, microbial, and brain activity data to forecast individual dietary responses. The review also discusses n-of-1 study designs, wearable technologies, and machine learning for individualized nutritional decision-making, along with current challenges and future directions for implementation.
Haslam DE, Hu FB. Multiomics to Predict Individual Responses to Weight Loss Interventions: A Promising Strategy to Enable Precision Nutrition. Diabetes Care. 2026 Jan 1;49(1):63-65. doi: 10.2337/dci25-0075. PMID: 41418032;

Multiomics to Predict Individual Responses to Weight Loss Interventions...

Biological Rhythms, Chrono-Nutrition, and Gut Microbiota: Epigenomics Insights ...

The article explores how circadian rhythms, meal timing, and gut microbiota interact to influence metabolic health through epigenetic mechanisms. It highlights that the temporal pattern of food intake affects gene expression, DNA methylation, and non-coding RNA activity, linking circadian regulation with nutritional signaling and microbial activity. These interactions shape the host’s metabolic and immune landscape, suggesting that aligning eating patterns with circadian rhythms could serve as a non-invasive strategy to optimize metabolism, support well-being, and prevent metabolic disorders.
de Oliveira Melo NC, Cuevas-Sierra A, Souto VF, Martínez JA. Biological Rhythms, Chrono-Nutrition, and Gut Microbiota: Epigenomics Insights for Precision Nutrition and Metabolic Health. Biomolecules. 2024 May 6;14(5):559. doi: 10.3390/biom14050559. PMID: 38785965

Epigenetics in Precision Nutrition.

This article reviews the role of epigenetics in precision nutrition, highlighting that individual responses to diet and lifestyle are influenced not only by the genome and gut microbiome but also by the epigenome, which has been largely overlooked. Epigenetic mechanisms, including DNA methylation, non-coding RNAs, and histone modifications, act as interfaces between the genome and environmental factors, shaping variability in metabolic health and responses to dietary interventions. Evidence indicates that DNA methylation is associated with obesity, diabetes, and cardiovascular disease, and may serve as a marker for personalized nutrition strategies. The review emphasizes the potential of integrating epigenetic data into precision nutrition research to identify novel intervention targets and improve individualized dietary recommendations.
Li X, Qi L. Epigenetics in Precision Nutrition. J Pers Med. 2022 Mar 28;12(4):533. doi: 10.3390/jpm12040533. PMID: 35455649

Strona główna

Porozmawiaj z ekspertem

Kontakt

Page updated

Google Sites

Report abuse