Body fluid proteome SIGnatures for personNALised interventio (SIGNAL)

Body fluid proteome SIGnatures for personNALised interventio (SIGNAL)

Sara Denicolo (ORCID: 0000-0002-1558-6134)

ERA-NET: Permed

Disciplines

Computer Sciences (25%); Clinical Medicine (25%); Medical-Theoretical Sciences, Pharmacy (50%)

Keywords

    Diabetes mellitus type 2, Precision Medicine, Urinary Proteomics, Predictive Biomarkers, Health Economics

Abstract

SIGNAL targets to evaluate and establish predictive biomarkers that enable guiding anti-diabetic treatment with respect to prevention of chronic kidney and cardiovascular disease. This involves compilation of the available resources, data re-analysis for establishment of optimal biomarker profiles with predictive value for diabetic treatment response, followed by its independent validation, in parallel to the health economics assessment of the clinical implementation of these markers.
Research institution(s)
International project participants

Research Output

  • 5 Citations
  • 4 Publications
Publications
  • 2025
    Title Urinary Peptidomic Profiling in Post-Acute Sequelae of SARS-CoV-2 Infection: A Case-Control Study
    DOI 10.1101/2025.10.15.25338065
    Type Preprint
    Author Gülmez D
    Pages 2025.10.15.25338065
    Link Publication
  • 2025
    Title Urinary collagen peptides predict mortality
    DOI 10.1101/2025.06.05.25329025
    Type Preprint
    Author Frantzi M
    Pages 2025.06.05.25329025
    Link Publication
  • 2024
    Title Mortality Risk and Urinary Proteome Changes in Acute COVID-19 Survivors in the Multinational CRIT-COV-U Study
    DOI 10.3390/biomedicines12092090
    Type Journal Article
    Author Siwy J
    Journal Biomedicines
    Pages 2090
    Link Publication
  • 2024
    Title Mortality risk in survivors of acute COVID-19 and the urinary proteome: Follow-up results from a multinational study that prospectively evaluated a proteomic urine test for early and accurate prognosis of critical course complications in patients wit
    DOI 10.1101/2024.06.26.24309460
    Type Preprint
    Author Siwy J
    Pages 2024.06.26.24309460
    Link Publication