Multifunctional in vivo imaging of pancreatic islets during diabetes development.
Ge LiBinlin WuMeliza G WardAngie C N ChongSushmita MukherjeeShuibing ChenMingming HaoPublished in: Journal of cell science (2016)
Pancreatic islet dysfunction leading to insufficient glucose-stimulated insulin secretion triggers the clinical onset of diabetes. How islet dysfunction develops is not well understood at the cellular level, partly owing to the lack of approaches to study single islets longitudinally in vivo Here, we present a noninvasive, high-resolution system to quantitatively image real-time glucose metabolism from single islets in vivo, currently not available with any other method. In addition, this multifunctional system simultaneously reports islet function, proliferation, vasculature and macrophage infiltration in vivo from the same set of images. Applying our method to a longitudinal high-fat diet study revealed changes in islet function as well as alternations in islet microenvironment. More importantly, this label-free system enabled us to image real-time glucose metabolism directly from single human islets in vivo for the first time, opening the door to noninvasive longitudinal in vivo studies of healthy and diabetic human islets.
Keyphrases
- high fat diet
- high resolution
- type diabetes
- endothelial cells
- deep learning
- adipose tissue
- label free
- cardiovascular disease
- drug delivery
- insulin resistance
- stem cells
- glycemic control
- induced pluripotent stem cells
- emergency department
- signaling pathway
- mass spectrometry
- single cell
- blood pressure
- convolutional neural network
- machine learning
- blood glucose
- wound healing
- cross sectional
- high speed