Project description
Nutrition and microbiota at weaning for inflammatory disease prediction
The expansion of microbiota during the weaning of infants following breast milk cessation generates an immune memory, which is important in preventing the development of allergies and chronic inflammatory diseases (such as obesity and inflammatory bowel diseases) later in life. Scientists are studying how and why this is the case. The ERC-funded WePredict project will investigate how microbial and nutritional signatures at weaning predict the susceptibility to develop chronic inflammatory pathologies. The project will use high-throughput sequencing, machine-learning algorithms and special mouse models. The findings will shed light on the biological processes and define the microbial and nutritional signatures at weaning that predict the susceptibility to adult pathology.
Objective
Microbiota dysbiosis is associated with chronic inflammatory diseases such as allergy, inflammatory bowel diseases, cancer and metabolism-related disorders. It has been reported that exposure to microbial and dietary components early in life may program the immune system to develop tolerance or susceptibility to chronic inflammatory diseases with age. We have recently shown that vigorous immune response induced by gut microbiota at weaning, prevents the development and exacerbation of chronic inflammatory diseases in adult mice. Such immune response is termed the weaning reaction. Antibiotic exposure and/or excessive fats intake during this critical window dysregulate the weaning reaction and increase the subsequent susceptibility to develop immunopathology. However, our current knowledge of the biological processes underlying the weaning reaction remains largely unknown. Here we aim to determine the biological processes of the weaning reaction and define the microbial and nutritional signatures at weaning that predict the susceptibility to adult pathology. These aims will be assessed using high-throughput sequencing, machine-learning algorithms and axenic and gnotobiotic mice models. Our project will help deciphering how nutrition and microbiota at weaning orchestrate the immune system development and impact adult chronic inflammatory pathologies susceptibility.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences nutrition
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine pathology
- medical and health sciences clinical medicine allergology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2020-STG
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3012 Bern
Switzerland
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