| Literature DB >> 33464156 |
Guadalupe Donjuà N-Loredo1, Ricardo Espinosa-Tanguma1, Maritza Fabiola Leà N Bejarano2, Jordi Ramà Rez-Elà As3, Roberto Salgado-Delgado4, Francisco J Gonzà Lez5, Edgar Guevara6, Miguel Ghebrà Ramà Rez Elà As7.
Abstract
The adipose tissue presents structural and functional changes in obesity and type 1 diabetes (T1DM). In obesity, the size and number of adipocytes and the adipokines' secretion increase. In T1DM, a loss of adipose tissue suggests changes in the metabolic activity of this tissue. A significant challenge is to find alternative non-invasive methods to evaluate molecular changes in adipose tissue related to obesity and T1DM. Recently, Raman spectroscopy and chemometrics techniques have emerged as an alternative 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 chemometrics (principal component analysis and support vector machines). 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 model showed classification performance ranging from 71.43% to 71.79% accuracy for brown and white adipose tissue samples, respectively. In conclusion, the results show that Raman spectroscopy can be used as a non-destructive method to assess adipose tissue according to a metabolic condition.Entities:
Keywords: Adipose tissue; Principal Component Analysis; Raman spectroscopy; Support vector machines; diabetes; obesity
Year: 2021 PMID: 33464156 DOI: 10.1177/0003702821990357
Source DB: PubMed Journal: Appl Spectrosc ISSN: 0003-7028 Impact factor: 2.388