Summary
The gut microbiota has wide-ranging effects on host health and represents a promising target for therapeutic manipulation, particularly in early life. Imbalances in the gut microbiota precede the dThe gut microbiota has wide-ranging effects on host health and represents a promising target for therapeutic manipulation, particularly in early life. Imbalances in the gut microbiota precede the development of conditions such as overweight and immunological diseases, which exert a significant burden on society and on individuals. Early identification and treatment of gut microbiota imbalance in childhood thus offers great potential in combatting these problems, and will become an important part of health care in the future. However, achieving this goal will require a high-level understanding of the processes that regulate the microbial populations. Currently our knowledge of the principles governing gut microbiota responses to treatments is insufficient for reliable and targeted microbiota modification. I hypothesize that conceptual limitations are a significant reason for the current inability to reliably predict microbiota responses to treatments and to modify the microbiota. In this interdisciplinary project, based on daily multiomic time series of child gut microbiota and diet and health diaries, I integrate the theoretical and analytical framework of population ecology, novel next-generation metagenomics-based high-resolution quantitative microbiota profiling, and genome-scale metabolic reconstructions into an ecosystem model of the child gut microbiota. The result will be an unprecedented level of understanding of how the gut microbes interact and respond to external forces. The concept can be applied widely to study the numeric and functional microbiota responses to any treatment and to design targeted interventions based on the predicted responses. The project represents the important next step in microbiota research from description to mechanistic understanding.
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| Web resources: | https://cordis.europa.eu/project/id/101039583 |
| Start date: | 01-01-2023 |
| End date: | 31-12-2027 |
| Total budget - Public funding: | 1 485 413,00 Euro - 1 485 413,00 Euro |
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Original description
The gut microbiota has wide-ranging effects on host health and represents a promising target for therapeutic manipulation, particularly in early life. Imbalances in the gut microbiota precede the dThe gut microbiota has wide-ranging effects on host health and represents a promising target for therapeutic manipulation, particularly in early life. Imbalances in the gut microbiota precede the development of conditions such as overweight and immunological diseases, which exert a significant burden on society and on individuals. Early identification and treatment of gut microbiota imbalance in childhood thus offers great potential in combatting these problems, and will become an important part of health care in the future. However, achieving this goal will require a high-level understanding of the processes that regulate the microbial populations. Currently our knowledge of the principles governing gut microbiota responses to treatments is insufficient for reliable and targeted microbiota modification. I hypothesize that conceptual limitations are a significant reason for the current inability to reliably predict microbiota responses to treatments and to modify the microbiota. In this interdisciplinary project, based on daily multiomic time series of child gut microbiota and diet and health diaries, I integrate the theoretical and analytical framework of population ecology, novel next-generation metagenomics-based high-resolution quantitative microbiota profiling, and genome-scale metabolic reconstructions into an ecosystem model of the child gut microbiota. The result will be an unprecedented level of understanding of how the gut microbes interact and respond to external forces. The concept can be applied widely to study the numeric and functional microbiota responses to any treatment and to design targeted interventions based on the predicted responses. The project represents the important next step in microbiota research from description to mechanistic understanding.Status
SIGNEDCall topic
ERC-2021-STGUpdate Date
09-02-2023
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