Presentation
4 October 2024 Multilevel x-ray imaging approach to assess the sequential evolution of multi-organ damage in neurodegenerative diseases
Francesca Palermo, Alessia Sanna, Consuelo Venturi, Lorenzo Massimi, Laura Maugeri, Elena Longo, Lorenzo D'Amico, Giulia Saccomano, Jonathan Perrin, Giuliana Tromba, Inna Bukreeva, Michela Fratini, Gian Paolo Marra, Giuseppe Gigli, Nicole Kerlero de Rosbo, Alessia Cedola
Author Affiliations +
Abstract
X-ray phase-contrast tomography (XPCT) offers a highly sensitive 3D imaging approach to investigate different disease-relevant networks from the single cell to the whole organ. We present here a concomitant study of the evolution of tissue damage and inflammation in potential target organs of the disease in the murine model of multiple sclerosis. XPCT identifies and monitors structural and cellular alterations throughout the central nervous system, but also in the gut and eye, of mice induced to develop multiple sclerosis-like disease and sacrificed at pre-symptomatic and symptomatic time points. This approach rests on a multiscale analysis to detect early appearance of imaging indicators potentially acting as biomarkers predictive of the disease. The longitudinal data permit an original evaluation of the sequential evolution of multi-organ damage in the mouse model, shedding light on the role of the gut-brain axis in the disease initiation and progression, of relevance for the human case.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francesca Palermo, Alessia Sanna, Consuelo Venturi, Lorenzo Massimi, Laura Maugeri, Elena Longo, Lorenzo D'Amico, Giulia Saccomano, Jonathan Perrin, Giuliana Tromba, Inna Bukreeva, Michela Fratini, Gian Paolo Marra, Giuseppe Gigli, Nicole Kerlero de Rosbo, and Alessia Cedola "Multilevel x-ray imaging approach to assess the sequential evolution of multi-organ damage in neurodegenerative diseases", Proc. SPIE 13152, Developments in X-Ray Tomography XV, 131520I (4 October 2024); https://doi.org/10.1117/12.3027596
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KEYWORDS
Brain diseases

X-ray imaging

Neurological disorders

Biological imaging

Diseases and disorders

Data modeling

Multiple sclerosis

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