Raman Spectroscopy for Adipose Tissue Assessment in Rat Models of Obesity and Type 1 Diabetes
Autor: | Guadalupe Donjuán-Loredo, Roberto Salgado-Delgado, Miguel G. Ramírez-Elías, Fabiola León-Bejarano, Edgar Guevara, Jordi A. Ramírez-Elías, Francisco Javier González, Ricardo Espinosa-Tanguma |
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Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Adipokine Adipose tissue 030209 endocrinology & metabolism White adipose tissue Spectrum Analysis Raman Chemometrics 03 medical and health sciences symbols.namesake 0302 clinical medicine Diabetes mellitus Internal medicine medicine Animals Obesity Instrumentation Spectroscopy 030304 developmental biology Principal Component Analysis 0303 health sciences Degree of unsaturation Chemistry medicine.disease Rats Diabetes Mellitus Type 1 Endocrinology Adipose Tissue symbols Raman spectroscopy |
Zdroj: | Applied Spectroscopy. 75:1189-1197 |
ISSN: | 1943-3530 0003-7028 |
Popis: | Adipose tissue presents structural and functional changes in obesity and type 1 diabetes mellitus (T1DM). In obesity, the size and number of adipocytes and adipokine secretion increases. In T1DM, a loss of adipose tissue suggests changes in the metabolic activity of this tissue. A significant challenge is to find alternative noninvasive methods to evaluate molecular changes in adipose tissue related to obesity and T1DM. Recently, Raman spectroscopy and chemometrics techniques have emerged as a tool for biological tissue analysis. In this work, we propose the use of Raman spectroscopy to characterize spectral differences in adipose tissue from different rat groups (control, obese, and T1DM). The Raman spectra were analyzed using direct band analysis, ratiometric analysis, and chemometric methods (principal component analysis (PCA) and support vector machines (SVMs)). We found that the Raman spectra of obese rats showed significant spectral differences compared to control and diabetic groups related to fatty acids Raman bands. Also, the obese group has a significant decrease in the degree of unsaturation of lipids. The PCA–SVM models showed classification performance ranging from 71.43% to 71.79% accuracy for brown and white adipose tissue samples, respectively. In conclusion, the results demonstrate that Raman spectroscopy can be used as a nondestructive method to assess adipose tissue according to a metabolic condition. |
Databáze: | OpenAIRE |
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