Raman microspectroscopy imaging revealed the spatial distribution of ω-3 and ω-6 fatty acids in white adipose tissues

Elnaz Sheikh; Qianglin Liu; Xing Fu; Manas Ranjan Gartia

doi:10.1117/12.3006989

2 April 2024 Raman microspectroscopy imaging revealed the spatial distribution of ω-3 and ω-6 fatty acids in white adipose tissues

Elnaz Sheikh, Qianglin Liu, Xing Fu, Manas Ranjan Gartia

Author Affiliations +

Proceedings Volume 12930, Medical Imaging 2024: Clinical and Biomedical Imaging; 1293015 (2024) https://doi.org/10.1117/12.3006989
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

The progression of obesity can be influenced by lipid metabolism and alterations in fatty acid levels. This study utilized Raman techniques to analyze the impact of High-Fat Diet (HFD) consumption on White Adipose Tissue (WAT) in an animal model (mice). Our results from statistical examination of Raman spectra indicated a substantial increase in unsaturated lipid levels in Visceral WAT (VWAT) fat pads when exposed to a high-fat die. The VWAT tissues were analyzed and mapped using a targeted Raman image analysis method employing Direct Classical Least Squares (DCLS) approaches to characterize lipid species such as ω-3 and ω-6 fatty acids. The analysis showed higher concentrations of ω3, ω6, cholesterol, and triglycerides in adipose tissues from the high-fat diet group compared to the Low-Fat Diet (LFD) group. The study demonstrated that Raman spectroscopy and microscopy, as a reliable and non-invasive technique, offered important understanding at the molecular level into the process of lipid species remodeling and the spatial distribution of adipose tissues during a high-fat diet.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Elnaz Sheikh, Qianglin Liu, Xing Fu, and Manas Ranjan Gartia "Raman microspectroscopy imaging revealed the spatial distribution of ω-3 and ω-6 fatty acids in white adipose tissues", Proc. SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 1293015 (2 April 2024); https://doi.org/10.1117/12.3006989

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