Social dynamics modeling of chrono-nutrition
Gut microbiota and human relationships are strictly connected to each other. What we eat reflects our body-mind connection and synchronizes with people around us. However, how this impacts on gut microbiota and, conversely, how gut bacteria influence our dietary behaviors has not been explored yet....
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| Veröffentlicht in: | PLoS computational biology 2019-01, Vol.15 (1), p.e1006714-e1006714 |
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| creator | Di Stefano, Alessandro Scatà, Marialisa Vijayakumar, Supreeta Angione, Claudio La Corte, Aurelio Liò, Pietro |
| description | Gut microbiota and human relationships are strictly connected to each other. What we eat reflects our body-mind connection and synchronizes with people around us. However, how this impacts on gut microbiota and, conversely, how gut bacteria influence our dietary behaviors has not been explored yet. To quantify the complex dynamics of this interplay between gut and human behaviors we explore the "gut-human behavior axis" and its evolutionary dynamics in a real-world scenario represented by the social multiplex network. We consider a dual type of similarity, homophily and gut similarity, other than psychological and unconscious biases. We analyze the dynamics of social and gut microbial communities, quantifying the impact of human behaviors on diets and gut microbial composition and, backwards, through a control mechanism. Meal timing mechanisms and "chrono-nutrition" play a crucial role in feeding behaviors, along with the quality and quantity of food intake. Considering a population of shift workers, we explore the dynamic interplay between their eating behaviors and gut microbiota, modeling the social dynamics of chrono-nutrition in a multiplex network. Our findings allow us to quantify the relation between human behaviors and gut microbiota through the methodological introduction of gut metabolic modeling and statistical estimators, able to capture their dynamic interplay. Moreover, we find that the timing of gut microbial communities is slower than social interactions and shift-working, and the impact of shift-working on the dynamics of chrono-nutrition is a fluctuation of strategies with a major propensity for defection (e.g. high-fat meals). A deeper understanding of the relation between gut microbiota and the dietary behavioral patterns, by embedding also the related social aspects, allows improving the overall knowledge about metabolic models and their implications for human health, opening the possibility to design promising social therapeutic dietary interventions. |
| doi_str_mv | 10.1371/journal.pcbi.1006714 |
| format | Article |
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What we eat reflects our body-mind connection and synchronizes with people around us. However, how this impacts on gut microbiota and, conversely, how gut bacteria influence our dietary behaviors has not been explored yet. To quantify the complex dynamics of this interplay between gut and human behaviors we explore the "gut-human behavior axis" and its evolutionary dynamics in a real-world scenario represented by the social multiplex network. We consider a dual type of similarity, homophily and gut similarity, other than psychological and unconscious biases. We analyze the dynamics of social and gut microbial communities, quantifying the impact of human behaviors on diets and gut microbial composition and, backwards, through a control mechanism. Meal timing mechanisms and "chrono-nutrition" play a crucial role in feeding behaviors, along with the quality and quantity of food intake. Considering a population of shift workers, we explore the dynamic interplay between their eating behaviors and gut microbiota, modeling the social dynamics of chrono-nutrition in a multiplex network. Our findings allow us to quantify the relation between human behaviors and gut microbiota through the methodological introduction of gut metabolic modeling and statistical estimators, able to capture their dynamic interplay. Moreover, we find that the timing of gut microbial communities is slower than social interactions and shift-working, and the impact of shift-working on the dynamics of chrono-nutrition is a fluctuation of strategies with a major propensity for defection (e.g. high-fat meals). 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What we eat reflects our body-mind connection and synchronizes with people around us. However, how this impacts on gut microbiota and, conversely, how gut bacteria influence our dietary behaviors has not been explored yet. To quantify the complex dynamics of this interplay between gut and human behaviors we explore the "gut-human behavior axis" and its evolutionary dynamics in a real-world scenario represented by the social multiplex network. We consider a dual type of similarity, homophily and gut similarity, other than psychological and unconscious biases. We analyze the dynamics of social and gut microbial communities, quantifying the impact of human behaviors on diets and gut microbial composition and, backwards, through a control mechanism. Meal timing mechanisms and "chrono-nutrition" play a crucial role in feeding behaviors, along with the quality and quantity of food intake. 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A deeper understanding of the relation between gut microbiota and the dietary behavioral patterns, by embedding also the related social aspects, allows improving the overall knowledge about metabolic models and their implications for human health, opening the possibility to design promising social therapeutic dietary interventions.</description><subject>Autism</subject><subject>Bacteria</subject><subject>Behavior</subject><subject>Bias</subject><subject>Biology and Life Sciences</subject><subject>Brain research</subject><subject>Computer and Information Sciences</subject><subject>Computer science</subject><subject>Consortia</subject><subject>Diet</subject><subject>Disease</subject><subject>DNA methylation</subject><subject>Dynamics</subject><subject>Eating behavior</subject><subject>Embedding</subject><subject>Food habits</subject><subject>Food intake</subject><subject>Funding</subject><subject>Gastroenterology</subject><subject>Health 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dynamics modeling of chrono-nutrition</title><author>Di Stefano, Alessandro ; Scatà, Marialisa ; Vijayakumar, Supreeta ; Angione, Claudio ; La Corte, Aurelio ; Liò, Pietro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c633t-455b1685d195edd35bfbcd92ec7366ca4c2186c48bc92aad4f9b26c6ac4d881a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Autism</topic><topic>Bacteria</topic><topic>Behavior</topic><topic>Bias</topic><topic>Biology and Life Sciences</topic><topic>Brain research</topic><topic>Computer and Information Sciences</topic><topic>Computer science</topic><topic>Consortia</topic><topic>Diet</topic><topic>Disease</topic><topic>DNA methylation</topic><topic>Dynamics</topic><topic>Eating behavior</topic><topic>Embedding</topic><topic>Food habits</topic><topic>Food intake</topic><topic>Funding</topic><topic>Gastroenterology</topic><topic>Health 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What we eat reflects our body-mind connection and synchronizes with people around us. However, how this impacts on gut microbiota and, conversely, how gut bacteria influence our dietary behaviors has not been explored yet. To quantify the complex dynamics of this interplay between gut and human behaviors we explore the "gut-human behavior axis" and its evolutionary dynamics in a real-world scenario represented by the social multiplex network. We consider a dual type of similarity, homophily and gut similarity, other than psychological and unconscious biases. We analyze the dynamics of social and gut microbial communities, quantifying the impact of human behaviors on diets and gut microbial composition and, backwards, through a control mechanism. Meal timing mechanisms and "chrono-nutrition" play a crucial role in feeding behaviors, along with the quality and quantity of food intake. Considering a population of shift workers, we explore the dynamic interplay between their eating behaviors and gut microbiota, modeling the social dynamics of chrono-nutrition in a multiplex network. Our findings allow us to quantify the relation between human behaviors and gut microbiota through the methodological introduction of gut metabolic modeling and statistical estimators, able to capture their dynamic interplay. Moreover, we find that the timing of gut microbial communities is slower than social interactions and shift-working, and the impact of shift-working on the dynamics of chrono-nutrition is a fluctuation of strategies with a major propensity for defection (e.g. high-fat meals). 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| subjects | Autism Bacteria Behavior Bias Biology and Life Sciences Brain research Computer and Information Sciences Computer science Consortia Diet Disease DNA methylation Dynamics Eating behavior Embedding Food habits Food intake Funding Gastroenterology Health aspects Hepatology Human behavior Human nutrition Influence Information systems Interpersonal relations Intestinal microflora Mathematical models Meals Medicine and Health Sciences Metabolism Microbial activity Microbiota Microbiota (Symbiotic organisms) Microorganisms Modelling Multiplexing Nutrients Nutrition Nutrition research Occupational health Physiology Population (statistical) Similarity Social factors Social interactions Social networks Social organization Social Sciences Software Supervision Type 2 diabetes Workers |
| title | Social dynamics modeling of chrono-nutrition |
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