Presentation + Paper
12 March 2024 Spatial fluorescent metabolomics in prediabetic adipose tissues
Author Affiliations +
Abstract
Label-free visualizing the prediabetic microenvironment of adipose tissues provides a less invasive alternative for the characterization of insulin resistance (IR) and inflammatory pathology. Here, we successfully identified the differentiable features of prediabetic adipose tissues by employing the metabolic imaging of three endogenous fluorophores NAD(P)H, FAD, and lipofuscin-like pigments. We discovered that 1040-nm excited lipofuscin-like autofluorescence could mark the location of macrophages. This unique feature helps separate the metabolic fluorescence signals of macrophages from those of adipocytes. In prediabetes fat tissues with IR, we found only adipocytes exhibited a metabolic fluorescence profile different from that of normal adipocytes.When mice have inflamed fat tissues, both adipocytes and macrophages possess this kind of metabolic change. Based on spatial fluorescence metabolomics, we developed an innovative approach to diagnose prediabetes, providing insights into diabetes prevention strategies.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Liping Chen, Guihui Qin, Yuhong Liu, Moxin Li, Lidong Du, Weiming Zheng, Xiaoyan Wang, and Tzu-Ming Liu "Spatial fluorescent metabolomics in prediabetic adipose tissues", Proc. SPIE 12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII, 128310D (12 March 2024); https://doi.org/10.1117/12.3000710
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KEYWORDS
Adipose tissue

Mitochondria

Fluorescence lifetime imaging

Autofluorescence

Fluorescence

Glucose

Inflammation

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