We are proud to announce that our team’s research on ๐ฎ๐ฅ๐ญ๐ซ๐๐ฌ๐๐ง๐ฌ๐ข๐ญ๐ข๐ฏ๐ ๐ฆ๐๐ ๐ง๐๐ญ๐ข๐ ๐ฉ๐๐ซ๐ญ๐ข๐๐ฅ๐ ๐ข๐ฆ๐๐ ๐ข๐ง๐ ๐จ๐ ๐ฅ๐ฎ๐ง๐ ๐ข๐ง๐๐ฅ๐๐ฆ๐ฆ๐๐ญ๐ข๐จ๐ง is officially published in Nature Communications!๐ฅ
Weย leveraged Franceโs very first Magnetic Particle Imaging (MPI) system installed at the CYCERON biomedical imaging platform, to demonstrate the efficacy of immuno-MPI for the diagnosis of pulmonary inflammation: a radiation-free diagnostic approach designed to detect inflammation at its earliest stages.
By targeting endothelial VCAM-1 expression, ๐ฐ๐ ๐๐๐ง ๐ง๐จ๐ฐ ๐ฆ๐๐ฉ ๐ฅ๐ฎ๐ง๐ ๐ข๐ง๐๐ฅ๐๐ฆ๐ฆ๐๐ญ๐ข๐จ๐ง and ๐ฎ๐ฐ๐ฏ๐ช๐ต๐ฐ๐ณ ๐ธ๐ฉ๐ฐ๐ญ๐ฆ-๐ฃ๐ฐ๐ฅ๐บ ๐ณ๐ฆ๐ด๐ฑ๐ฐ๐ฏ๐ด๐ฆ๐ดย in several kinds of pulmonary inflammation-related disease models, including sepsis and bleomycin-induced pulmonary fibrosis model. This proof of concept paves the way for earlier diagnoses, personalized therapeutic decisions, and real-time monitoring of anti-inflammatory treatments.
–> ๐๐ฉ๐บ ๐ต๐ฉ๐ช๐ด ๐ฎ๐ข๐ต๐ต๐ฆ๐ณ๐ด ? Standard imaging only shows anatomical damage once a disease is already advanced. However, in severe respiratory conditions, such as pneumonia, acute COVID-19, pulmonary fibrosis, or lung transplant rejection, detecting early inflammation is critical to determining prognosis and guiding treatment.
๐Link to the article : https://www.nature.com/articles/s41467-026-75724-z

3D immuno-MPI enables sensitive and specific detection of pulmonary VCAM-1 expression using targeted micron-sized particles
Congratulations to all the co-authors on this great achievement !! ๐
๐๐จ๐จ๐ค๐ข๐ง๐ ๐๐ก๐๐๐, we acknowledge the Fondation Bettencourt Schueller for supporting our next milestone : ๐ฐ๐ ๐๐ซ๐ ๐ง๐จ๐ฐ ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ข๐ง๐ ๐๐ข๐จ๐๐จ๐ฆ๐ฉ๐๐ญ๐ข๐๐ฅ๐ ๐๐ง๐ ๐๐ข๐จ๐๐๐ ๐ซ๐๐๐๐๐ฅ๐ ๐ฉ๐ซ๐จ๐๐๐ฌ to target distinct inflammatory markers across various disease contexts, taking our immuno-imaging approach one step closer to clinical translation ๐ฏ
๐๐ซ๐๐ข๐ง ๐๐ฅ๐จ๐จ๐ & ๐๐๐ฆ๐จ๐ซ๐ฒ ๐๐ญ ๐๐๐๐ง ๐๐จ๐ซ๐ฆ๐๐ง๐๐ข๐ ๐๐ง๐ฌ๐ญ๐ข๐ญ๐ฎ๐ญ๐ (๐๐๐@๐)
UMR-S 1237 Physiopathology and Imaging of Neurological Disorders “PhIND”

