Result description
During the HEDIMED project, it was used to study how gut microbial composition (for example virome) may affect celiac disease (CD) and type 1 diabetes (T1D) risk. Later, it could be applied in follow-up cohorts, expanded analyses of other immune-mediated or metabolic disorders, and potential diagnostic or therapeutic R&D.
As a database of newly characterized viral sequences, used to align and classify unknown viral reads in metagenomic studies. As part of a pipeline that can be adapted or integrated by other labs studying virome–host interactions in early childhood. Potentially as a resource for discovering bacteriophages with immunomodulatory functions or prophylactic/therapeutic potential.
1.Metagenomic Sequencing: Large sets of stool samples are processed to separate nucleic acids, performing deep sequencing.
2.Bioinformatic Assembly and Classification: Reads are assembled, mapped against known viral databases; “dark matter” contigs that lack known matches are further analyzed to identify novel viruses.
3.Integration with Clinical Cohorts: Observed viral profiles are correlated with celiac disease or type 1 diabetes endpoints.
Addressing target audiences and expressing needs
- Use of research Infrastructure
- Collaboration
Clinical research networks, to see if the discovered viruses are disease biomarkers. Government or public health labs, especially for large-scale microbial reference databases.
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
Further developments are needed, including function validation of candidate viruses or phages.
Result submitted to Horizon Results Platform by DEN SELVEJENDE INSTITUTION DANSK BORNEASTMA CENTER