Funder: European Research Council
Grant: Proof of Concept 2026
Role: Team member
Institution: University of Parma
PI: Dr. Pedro Mena
Activity: Creating a XENObiotic-based PREDiction platform for inter-individual differences in drug metabolism. Development of a multi-omics platform capable of predicting individual response to drugs of phenolic origin integrating genomics, microbial and metabolic signatures, with real-world testing on over-the-counter drugs (ibuprofen and paracetamol) and exploration of additional phenolic drugs (irinotecan, chlorpromazine, and others).
Funder: Fondazione Umberto Veronesi and Citrus Orto Italiano
Grant: Fondazione Veronesi Post-Doctoral Fellowship - Experimental (2 years)
Role: Proponent
Institution: University of Parma
PI: Dr. Mirko Treccani, Dr. Pedro Mena
Activity: Integrating genomics, metagenomics and metabolomics profile of healthy, at risk, and affected individuals to investigate the beneficial role of citrus and nuts in lung cancer prevention.
Institution: University of Parma
PI: Dr. Pedro Mena
Activity: Contribution to the ERC-funded project PREDICT-CARE. My work applies genomics, computational omics, and bioinformatics to develop integrative tools for assessing inter-individual responses to dietary xenobiotics, comprising carotenoids, bile acids, terpenoids and other compounds by combining information on human metabolism, health outcomes, and variability in absorption, distribution, metabolism, and excretion.
Research output:
Treccani M et al., Food Funct, 2025.
Tosi N et al., Food Funct, 2025.
Institution: University of Parma
PI: Dr. Pedro Mena
Activity: Contribution to the ERC-funded project PREDICT-CARE (Developing tools for the PREDICTion, at the individual level, of the CArdiometabolic REsponse to the consumption of dietary (poly)phenols). My work applies genomics, computational omics, and bioinformatics to develop integrative tools for predicting individual cardiometabolic responses to dietary (poly)phenols by combining information on human metabolism and health outcomes and explore the inter-indivdual variability in (poly)phenol absorption, distribution, metabolism, and excretion.
Research output:
Treccani M et al., Food Funct, 2025.
Tosi N et al., Food Funct, 2025.
Institution: University of Cambridge
PI: Dr. Paul Lyons
Activity: Investigation of the genetic basis of ANCA-associated vasculitis (AAV) in the largest European cohort of affected individuals comprising using genotype and HLA imputation, genome-wide association studies, genetic correlation and co-localization of variants.
Institution: University of Florence
PI: Prof. Augusto Vaglio
Partners: Dr. Davide Martorana, CoreLab, University-Hospital of Parma; Prof. Giovanni Malerba, GM Lab, University of Verona
Activity: Investigation of the genetic basis of Eosinophilic Granulomatosis with Polyangiitis (EGPA) in the largest Italian cohort of ANCA-associated vasculitides comprising familial and sporadic individuals. This project marked the beginning of my research career and continues to explore rare disease genetics through next-generation sequencing and genomic analyses.
Research output:
Treccani M et al., Curr Issues Mol Biol, 2024.
Institution: University of Verona
PI: Prof. Giovanni Gambaro, Prof. Pietro Manuel Ferraro
Partners: Dr. Mohsen Ghanbari, Molecular and System Epidemiology Lab, Erasmus Medical Center, Rotterdam
Activity: Genome-wide investigation of kidney-related traits, with particular emphasis on serum electrolyte homeostasis. The project combines analyses of the INCIPE and the Rotterdam Study cohorts.
Research output:
Treccani M et al., Nephrol Dial Transplant, 2026.
Santoro G et al., Clin Kidney J, 2023.
Institution: GM Lab, University of Verona
PI: Prof. Giovanni Malerba
Activity: An open-source initiative exploring the use of Raspberry Pi platforms for bioinformatics applications. The project focused on developing affordable and portable solutions for genomics and transcriptomics analyses.
Institution: Legal Medicine, University of Verona
PI: Dr. Stefania Turrina
Activity: Bioinformatic support for forensic genetics research, including the analysis and interpretation of short tandem repeats (STRs) and sequencing data for forensic applications.
Research outputs:
Soldati G et al., Mol Bio Rep, 2023.