Paper 13292-24
Quantitative real-time imaging of rodent skin adipose tissue remodeling in response to changes in metabolic state
26 January 2025 • 11:30 AM - 11:50 AM PST | Moscone Center, Room 154 (South Upper Mezz)
Abstract
Adipose tissue (AT) undergoes dynamic remodeling in response to differential nutritional supply. Changes in AT morphology accompany its functional changes, and imaging is a powerful tool for studying and understanding AT remodeling. Histopathological analysis conventionally used for studying AT remodeling requires tissue removal and processing, providing only a single time-point measurement. We developed a workflow capable of carrying out repeated measurements for longitudinal monitoring of the expansion and reduction of intact AT. Non-invasive real-time imaging of live mice was carried out to obtain stable scans which are then analyzed using our semi-automated labeling algorithm to obtain quantitative readouts. We investigated adipose tissue remodeling in mice of various metabolic conditions, such as obesity and hypercholesterolemia. Through this, we demonstrate AT live imaging as a promising tool for reflecting changes in metabolic status.
Presenter
Nazihah Aziz
Institute of Molecular and Cell Biology, A*STAR Agency for Science, Technology and Research (Singapore)
Nazihah is a research scientist at Agency for Science, Technology and Research (A*STAR). Her interests are in immunology and imaging techniques, with a specialization in 3-dimensional imaging. She has experience with light sheet microscopy, optical coherence tomography (OCT), and deep ultraviolet microscopy, among others.
Nazihah is a recipient of the A*STAR Graduate Scholarship which funded her Ph.D. in Immunology at National University Singapore. She worked on establishing a 3D Optical Imaging workflow to discover novel biological findings at Singapore Immunology Network, SIgN of A*STAR.
Currently, Nazihah has developed a workflow for longitudinal non-invasive imaging of live rodents and quantification of changes to skin layers for assessment of disease progression and drug efficacy. Through her work, she hopes to improve diagnostic and therapeutic approaches in healthcare.