Federico Tesio Torta

This study identifies a renometabolic trade-off where increased urinary nutrient loss protects against obesity but increases vulnerability to acute kidney injury.

MRMhub automates processing of large-scale targeted metabolomics data, offering scalability and quality control tools, and is validated on lipidomics datasets.

The paper investigates how life stages affect the human skin microbiome and lipid mediators, finding microbial correlations with lipid profiles and cytokine production.

This study shows that de-glycosylation of N207 in DENV NS1 reduces viral fitness and enhances clearance by limiting PD-L1/PD-1 mediated T cell apoptosis.

SmartPeak automates metabolomics data processing with algorithms for alignment, calibration, and peak integration, improving reproducibility and throughput.

This study performs lipidomics and proteomics on plasma cells from multiple myeloma patients to identify metabolic changes associated with relapse.