Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions

Gibbons, Sean M; Gurry, Thomas; Lampe, Johanna W; Chakrabarti, Anirikh; Dam, Veerle; Everard, Amandine; Goas, Almudena; Gross, Gabriele; Kleerebezem, Michiel; Lane, Jonathan; Maukonen, Johanna; Penna, Ana Lucia Barretto; Pot, Bruno; Valdes, Ana M; Walton, Gemma; Weiss, Adrienne; Zanzer, Yoghatama Cindya; Venlet, Naomi V; Miani, Michela

Abstract

Humans often show variable responses to dietary, prebiotic, and probiotic interventions. Emerging evidence indicates that the gut microbiota is a key determinant for this population heterogeneity. Here, we provide an overview of some of the major computational and experimental tools being applied to critical questions of microbiota-mediated personalized nutrition and health. First, we discuss the latest advances in in silico modeling of the microbiota-nutrition-health axis, including the application of statistical, mechanistic, and hybrid artificial intelligence models. Second, we address high-throughput in vitro techniques for assessing interindividual heterogeneity, from ex vivo batch culturing of stool and continuous culturing in anaerobic bioreactors, to more sophisticated organ-on-a-chip models that integrate both host and microbial compartments. Third, we explore in vivo approaches for better understanding of personalized, microbiota-mediated responses to diet, prebiotics, and probiotics, from nonhuman animal models and human observational studies, to human feeding trials and crossover interventions. We highlight examples of existing, consumer-facing precision nutrition platforms that are currently leveraging the gut microbiota. Furthermore, we discuss how the integration of a broader set of the tools and techniques described in this piece can generate the data necessary to support a greater diversity of precision nutrition strategies. Finally, we present a vision of a precision nutrition and healthcare future, which leverages the gut microbiota to design effective, individual-specific interventions.

Citation

Gibbons, S. M., Gurry, T., Lampe, J. W., Chakrabarti, A., Dam, V., Everard, A., …Miani, M. (2022). Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions. Advances in Nutrition, 13(5), 1450-1461. https://doi.org/10.1093/advances/nmac075

• Journal Article Type: Article
• Acceptance Date: Jun 28, 2022
• Online Publication Date: Feb 9, 2023
• Publication Date: Sep 1, 2022
• Deposit Date: Feb 17, 2023
• Journal: Advances in Nutrition
• Print ISSN: 2156-5376
• Publisher: Oxford University Press
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 5
• Pages: 1450-1461
• DOI: https://doi.org/10.1093/advances/nmac075
• Keywords: Nutrition and Dietetics; Medicine (miscellaneous); Food Science
• Public URL: https://nottingham-repository.worktribe.com/output/11462311
• Publisher URL: https://www.sciencedirect.com/science/article/abs/pii/S2161831323000212?via%3Dihub
• Additional Information: This article is maintained by: Elsevier; Article Title: Perspective: Leveraging the Gut Microbiota to Predict Personalized Responses to Dietary, Prebiotic, and Probiotic Interventions; Journal Title: Advances in Nutrition; CrossRef DOI link to publisher maintained version: https://doi.org/10.1093/advances/nmac075