The Stance4Health Project: Evaluating a Smart Personalised Nutrition Service for Gut Microbiota Modulation in Normal- and Overweight Adults and Children with Obesity, Gluten-Related Disorders or Allergy/Intolerance to Cow’s Milk

Russo, Marika Dello; Russo, Paola; Rufián-Henares, José Ángel; Hinojosa-Nogueira, Daniel; Pérez-Burillo, Sergio; Cueva, Silvia Pastoriza de la; Rohn, Sascha; Fatouros, Alexandra; Douros, Konstantinos; González-Vigil, Verónica; Epstein, David; Francino, M. Pilar; Siani, Alfonso; Lauria, Fabio

doi:10.3390/foods11101480

Cited by 11 publications

(8 citation statements)

References 24 publications

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“…There has been an increased interest in personalised healthcare, where an individual receives dietary advice tailored to their characteristics [ 20 , 21 , 22 , 23 , 24 ]. Omics technologies, such as metabolomics, metagenomics, proteomics and transcriptomics, have recently become highly relevant in pursuing these goals [ 25 ].…”

Section: Discussionmentioning

confidence: 99%

MetaboVariation: Exploring Individual Variation in Metabolite Levels

2023

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To date, most metabolomics biomarker research has focused on identifying disease biomarkers. However, there is a need for biomarkers of early metabolic dysfunction to identify individuals who would benefit from lifestyle interventions. Concomitantly, there is a need to develop strategies to analyse metabolomics data at an individual level. We propose “MetaboVariation”, a method that models repeated measurements on individuals to explore fluctuations in metabolite levels at an individual level. MetaboVariation employs a Bayesian generalised linear model to flag individuals with intra-individual variations in their metabolite levels across multiple measurements. MetaboVariation models repeated metabolite levels as a function of explanatory variables while accounting for intra-individual variation. The posterior predictive distribution of metabolite levels at the individual level is available, and is used to flag individuals with observed metabolite levels outside the 95% highest posterior density prediction interval at a given time point. MetaboVariation was applied to a dataset containing metabolite levels for 20 metabolites, measured once every four months, in 164 individuals. A total of 28% of individuals with intra-individual variations in three or more metabolites were flagged. An R package for MetaboVariation was developed with an embedded R Shiny web application. To summarize, MetaboVariation has made considerable progress in developing strategies for analysing metabolomics data at the individual level, thus paving the way toward personalised healthcare.

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Section: Discussionmentioning

confidence: 99%

MetaboVariation: Exploring Individual Variation in Metabolite Levels

2023

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“…The S4H APP was developed under the framework of the Stance4Health European project and aims to support human nutrition trials in several countries [ 25 ]. Personalized nutritional systems usually manage different sources of information that could serve for different purposes.…”

Section: Methodsmentioning

confidence: 99%

“…The study was approved by different ethical committees and the nutritional intervention in which the APP is being used is registered under the number SRCTN63745549 [ 25 ]. Users must also give their consent and may request the elimination of all their data at any time.…”

Section: Methodsmentioning

confidence: 99%

“…This study shows the APP created in the framework of the project after a close collaboration between APP developers, nutritionists and scientists from different areas, all in order to create a rigorous and quality APP. This APP is under use in a multi-country nutrition intervention for adults and children (Trial ID: ISRCTN63745549) [ 25 ]. The APP aims to promote balanced nutrition and healthy habits by creating personalized recommendations for each individual.…”

Section: Introductionmentioning

confidence: 99%

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Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition

et al. 2023

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Access to good nutritional health is one of the principal objectives of current society. Several e-services offer dietary advice. However, multifactorial and more individualized nutritional recommendations should be developed to recommend healthy menus according to the specific user’s needs. In this article, we present and validate a personalized nutrition system based on an application (APP) for smart devices with the capacity to offer an adaptable menu to the user. The APP was developed following a structured recommendation generation scheme, where the characteristics of the menus of 20 users were evaluated. Specific menus were generated for each user based on their preferences and nutritional requirements. These menus were evaluated by comparing their nutritional content versus the nutrient composition retrieved from dietary records. The generated menus showed great similarity to those obtained from the user dietary records. Furthermore, the generated menus showed less variability in micronutrient amounts and higher concentrations than the menus from the user records. The macronutrient deviations were also corrected in the generated menus, offering a better adaptation to the users. The presented system is a good tool for the generation of menus that are adapted to the user characteristics and a starting point to nutritional interventions.

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“…However, it should be noted that, with age, numerous physiological activities of the body are weakened, and not just the diversity of the intestinal microflora. Nonetheless, improving the gut microbial profile through personalized nutrition [ 64 ] and appropriate supplements capable of improving the immune defences is one of the safest and most immediate prophylactic tactics. It can be combined with the currently available pharmacological therapies for COVID-19, aiming at minimizing the impact of the disease [ 65 ], especially in immunosuppressed patients and the eldest patients.…”

Section: Functional Food Effects On Covid-19 Influenza Virus and Hsv ...mentioning

confidence: 99%

Exploring the Protective Effect of Food Drugs against Viral Diseases: Interaction of Functional Food Ingredients and SARS-CoV-2, Influenza Virus, and HSV

Ricci¹,

Roviello²

2023

Life

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A complex network of processes inside the human immune system provides resistance against a wide range of pathologies. These defenses form an innate and adaptive immunity, in which certain immune components work together to counteract infections. In addition to inherited variables, the susceptibility to diseases may be influenced by factors such as lifestyle choices and aging, as well as environmental determinants. It has been shown that certain dietary chemical components regulate signal transduction and cell morphologies which, in turn, have consequences on pathophysiology. The consumption of some functional foods may increase immune cell activity, defending us against a number of diseases, including those caused by viruses. Here, we investigate a range of functional foods, often marketed as immune system boosters, in an attempt to find indications of their potential protective role against diseases caused by viruses, such as the influenza viruses (A and B), herpes simplex virus (HSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in some cases mediated by gut microbiota. We also discuss the molecular mechanisms that govern the protective effects of some functional foods and their molecular constituents. The main message of this review is that discovering foods that are able to strengthen the immune system can be a winning weapon against viral diseases. In addition, understanding how the dietary components function can aid in the development of novel strategies for maintaining human bodily health and keeping our immune systems strong.

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The Stance4Health Project: Evaluating a Smart Personalised Nutrition Service for Gut Microbiota Modulation in Normal- and Overweight Adults and Children with Obesity, Gluten-Related Disorders or Allergy/Intolerance to Cow’s Milk

Cited by 11 publications

References 24 publications

MetaboVariation: Exploring Individual Variation in Metabolite Levels

MetaboVariation: Exploring Individual Variation in Metabolite Levels

Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition

Exploring the Protective Effect of Food Drugs against Viral Diseases: Interaction of Functional Food Ingredients and SARS-CoV-2, Influenza Virus, and HSV

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