HDHL-INTIMIC: A European Knowledge Platform on Food, Diet, Intestinal Microbiomics, and Human Health

Agamennone, Valeria and Abuja, Peter M. and Basic, Marijana and De Angelis, Maria and Gessner, Andre and Keijser, Bart and Larsen, Martin and Pinart, Mariona and Nimptsch, Katharina and Pujos-Guillot, Estelle and Schlicht, Kristina and Sharon, Itai and Untersmayr, Eva and Laudes, Matthias and Pischon, Tobias and Bouwman, Jildau (2022) HDHL-INTIMIC: A European Knowledge Platform on Food, Diet, Intestinal Microbiomics, and Human Health. NUTRIENTS, 14 (9): 1881. ISSN , 2072-6643

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Abstract

Studies indicate that the intestinal microbiota influences general metabolic processes in humans, thereby modulating the risk of chronic diseases such as type 2 diabetes, allergy, cardiovascular disease, and colorectal cancer (CRC). Dietary factors are also directly related to chronic disease risk, and they affect the composition and function of the gut microbiota. Still, detailed knowledge on the relation between diet, the microbiota, and chronic disease risk is limited. The overarching aim of the HDHL-INTIMIC (INtesTInal MICrobiomics) knowledge platform is to foster studies on the microbiota, nutrition, and health by assembling available knowledge of the microbiota and of the other aspects (e.g., food science and metabolomics) that are relevant in the context of microbiome research. The goal is to make this information findable, accessible, interoperable, and reusable (FAIR) to the scientific community, and to share information with the various stakeholders. Through these efforts a network of transnational and multidisciplinary collaboration has emerged, which has contributed to further develop and increase the impact of microbiome research in human health. The roles of microbiota in early infancy, during ageing, and in subclinical and clinically manifested disease are identified as urgent areas of research in this knowledge platform.

Item Type: Article
Uncontrolled Keywords: GUT MICROBIOME; IDENTIFICATION; OBESITY; INTERVENTION; CAUSALITY; MODELS; IMPACT; ADULTS; diet; microbiome; health; metabolomics; data sharing; FAIR; data integration; networking; reference microbiome; standardization
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Medizinische Mikrobiologie und Hygiene
Depositing User: Dr. Gernot Deinzer
Date Deposited: 12 Dec 2023 11:27
Last Modified: 12 Dec 2023 11:27
URI: https://pred.uni-regensburg.de/id/eprint/58754

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