Application of Ultrasound Localization Microscopy in Evaluating the Type 2 Diabetes Progression.

IF 10.5 Q1 ENGINEERING, BIOMEDICAL Cyborg and bionic systems (Washington, D.C.) Pub Date : 2025-03-10 eCollection Date: 2025-01-01 DOI:10.34133/cbsystems.0117
Tao Zhang, Jipeng Yan, Xinhuan Zhou, Bihan Wu, Chao Zhang, Mengxing Tang, Pintong Huang
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Abstract

Type 2 diabetes is considered as a chronic inflammatory disease in which the dense microvasculature reorganizes with disease progression and is highly correlated with β cell mass and islet function. In this study, we constructed rat models of type 2 diabetes and used ultrasound localization microscopy (ULM) imaging to noninvasively map the pancreatic microvasculature at microscopy resolution in vivo to reflect β cell loss and islet function deterioration, and evaluate the efficacy after anti-cytokine immunotherapy. It was unveiled that ULM morphological and hemodynamic parameters have a strong link with β cell loss and deterioration of pancreatic islet function. This correlation aligns with the observed pathological alterations in the microvessels of islet and demonstrated that ULM can effectively mirror the functionality of β cells during rapid fluctuations in blood glucose levels by observing changes in mean velocity. Furthermore, it was revealed that treatment with anti-cytokine immunotherapy enhances the function and health of β cells by restoring the microvascular environment. Remarkable improvements in vessel morphology (measured by fractal dimension) and hemodynamics (indicated by mean velocity and vessel density) were noted following the anti-cytokine immunotherapy, signifying a significant enhancement at the treatment's conclusion (P < 0.05). These observations suggested that ULM technology holds promise as a visible and efficient tool for monitoring the effectiveness of anti-cytokine immunotherapy in managing type 2 diabetes. Pancreatic microvessel-based ULM may serve as a novel noninvasive method to assess β cells, providing a valuable clinical tool for tracking the progression of type 2 diabetes.

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7.70
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21 weeks
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