Summary
The concept of “exposome” encompasses all human disease determinants encountered during the life course. The exposome induces epigenetic modifications (e.g., DNA methylation). Several studies have investigated how repetitive elements (REs) can be switched on in response to environmental stimuli, but have started from the assumption that altered RE methylation is always detrimental to the health of the affected individual. MAMELI proposes an alternative hypothesis that some REs are plastic entities that respond physiologically to the environment; consequently, the ability of DNA to adapt to environmental triggers can be monitored.
To test this hypothesis, the MAMELI project will enroll 6200 subjects in the city of Legnano (Italy). The first-level (“discovery”) will apply third-generation sequencing methylation assessment on 200 subjects at two-time points: T0 (baseline) and T1 (6 months after T0). The discovery level will allow me to define a pool of REs (“differential REs”) whose methylation can change without impacting genome stability. The second level (“tuning”) will be conducted on 2700 subjects (200 subjects of the discovery level + 2500 additional subjects) and will allow me to develop an algorithm (“MAMELI algorithm”) to predict the relationship between exposome and RE methylation status (“RE methylation signature”). In the third level (“validation”), I will apply the MAMELI algorithm on the second set of the study cohort (n=3500) to calculate the difference between the measured RE methylation signature and the values predicted by the algorithm. In addition, to test the reversibility of RE methylation following lifestyle modifications and its preventive potential, I will design an intervention study embedded in the cohort.
MAMELI would represent a breakthrough in the understanding of individual susceptibility to environmental pressures, enabling the development of preventive strategies to avoid disease.
To test this hypothesis, the MAMELI project will enroll 6200 subjects in the city of Legnano (Italy). The first-level (“discovery”) will apply third-generation sequencing methylation assessment on 200 subjects at two-time points: T0 (baseline) and T1 (6 months after T0). The discovery level will allow me to define a pool of REs (“differential REs”) whose methylation can change without impacting genome stability. The second level (“tuning”) will be conducted on 2700 subjects (200 subjects of the discovery level + 2500 additional subjects) and will allow me to develop an algorithm (“MAMELI algorithm”) to predict the relationship between exposome and RE methylation status (“RE methylation signature”). In the third level (“validation”), I will apply the MAMELI algorithm on the second set of the study cohort (n=3500) to calculate the difference between the measured RE methylation signature and the values predicted by the algorithm. In addition, to test the reversibility of RE methylation following lifestyle modifications and its preventive potential, I will design an intervention study embedded in the cohort.
MAMELI would represent a breakthrough in the understanding of individual susceptibility to environmental pressures, enabling the development of preventive strategies to avoid disease.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101086988 |
| Start date: | 01-08-2023 |
| End date: | 31-07-2028 |
| Total budget - Public funding: | 2 993 251,00 Euro - 2 993 251,00 Euro |
Cordis data
Original description
The concept of “exposome” encompasses all human disease determinants encountered during the life course. The exposome induces epigenetic modifications (e.g., DNA methylation). Several studies have investigated how repetitive elements (REs) can be switched on in response to environmental stimuli, but have started from the assumption that altered RE methylation is always detrimental to the health of the affected individual. MAMELI proposes an alternative hypothesis that some REs are plastic entities that respond physiologically to the environment; consequently, the ability of DNA to adapt to environmental triggers can be monitored.To test this hypothesis, the MAMELI project will enroll 6200 subjects in the city of Legnano (Italy). The first-level (“discovery”) will apply third-generation sequencing methylation assessment on 200 subjects at two-time points: T0 (baseline) and T1 (6 months after T0). The discovery level will allow me to define a pool of REs (“differential REs”) whose methylation can change without impacting genome stability. The second level (“tuning”) will be conducted on 2700 subjects (200 subjects of the discovery level + 2500 additional subjects) and will allow me to develop an algorithm (“MAMELI algorithm”) to predict the relationship between exposome and RE methylation status (“RE methylation signature”). In the third level (“validation”), I will apply the MAMELI algorithm on the second set of the study cohort (n=3500) to calculate the difference between the measured RE methylation signature and the values predicted by the algorithm. In addition, to test the reversibility of RE methylation following lifestyle modifications and its preventive potential, I will design an intervention study embedded in the cohort.
MAMELI would represent a breakthrough in the understanding of individual susceptibility to environmental pressures, enabling the development of preventive strategies to avoid disease.
Status
SIGNEDCall topic
ERC-2022-COGUpdate Date
31-07-2023
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