In a major multi-institutional and international collaboration, our team contributed to a global effort combining proteomics, clinical cohorts, and data science to improve diagnosis of childhood tuberculosis (TB).

Led by partners at UCSF, Makerere University, Harvard, UCL and Ghana’s Noguchi Memorial Institute, the consortium analyzed plasma samples from children across Africa, South America, and the U.S., integrating data through a shared proteomics and biostatistics framework.

The study identified robust biomarker signatures that meet WHO performance targets for point-of-care TB diagnostics, a milestone toward equitable infectious disease surveillance.

Published in Nature Communications, the work showcases the power of large-scale proteomics consortia to address urgent global health challenges.

Read the paper: Plasma proteomics for biomarker discovery in childhood tuberculosis →