Poster De Conférence Année : 2025

Evaluation and modelling of vascular microstructures evolution during normal and pathological aging using synchrotron X-ray three-dimensional microtomography

Évaluation et modélisation de l'évolution des microstructures vasculaires durant le vieillissement normal et pathologique par utilisation de microtomographie 3D rayon-X synchrotron

Timm Weitkamp

Résumé

Vascular aging is characterized by slow, insidious, and asymptomatic alterations of vascular microstructures, such as the elastic lamellae. Nevertheless, the early events forecasting these alterations remain mostly undocumented. To address this critical question, MEDyC uses synchrotron X-ray microcomputed imaging to capture the discrete and fine alterations occurring during the silent phases of the aging process in mouse in normal and pathological conditions. For a single aorta, tomographic volume images of 3948×3948×2048 voxels (voxel size 0.65 µm) are recorded in the thoracic to abdominal region of the aorta. Finding, extracting, and analysing these massive and information-rich data is a considerable challenge. Indeed, they contain a wide range of details at different scales, which induces semantic noise in addition to acquisition noise that may disturb the analysis. We have developed a prototype of a fully automated segmentation approach, able to process the images by relying both on standard image processing paradigms and deep-learning strategies (Siamese networks). We are now able to measure and compare intramural features in aorta from animals experiencing normal (C57Bl6J strain) or pathologic (db/db strain, diabetes) aging. The results obtained so far show that diabetic mice have smoother elastic lamellae than normal mice at the same age. Lamellae from diabetic mice have lost 24.8% of their reserve length. This effect is consistent with the fact that diabetic individuals are hypertensive. Further, we observe a concomitant loss of the lattice-like filamentous structure we have discovered within elastic lamellae. We are currently collecting more data from healthy and diabetic animals (2-24 months, n = 15 for each time point) with the objective of modelling and predicting the evolution of aortic features during aging (ANR MODELAGE project).

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hal-05114988 , version 1 (16-06-2025)

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  • HAL Id : hal-05114988 , version 1

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Alexandra Fontaine, Xiaowen Liang, Dênnis José da Silva, Aïcha Ben Zemzem, Laetitia Vanalderwiert, et al.. Evaluation and modelling of vascular microstructures evolution during normal and pathological aging using synchrotron X-ray three-dimensional microtomography. Congrès de la section 28 "Pharmacologie, Ingénierie et technologie pour la santé, Imagerie biomédicale" du Comité National de la Recherche Scientifique, 2025, Reims, France. ⟨hal-05114988⟩
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