Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 75,
  • Issue 9,
  • pp. 1189-1197
  • (2021)

Raman Spectroscopy for Adipose Tissue Assessment in Rat Models of Obesity and Type 1 Diabetes

Not Accessible

Your library or personal account may give you access

Abstract

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.

© 2021 The Author(s)

PDF Article
More Like This
Label-free and noninvasive method for assessing the metabolic status in type 2 diabetic rats with myocardium diastolic dysfunction

Kai Guo, Junxin Wu, Yawei Kong, Li Zhou, Wei Li, Yiyan Fei, Jiong Ma, and Lan Mi
Biomed. Opt. Express 12(1) 480-493 (2021)

Use of Raman spectroscopy to screen diabetes mellitus with machine learning tools

Edgar Guevara, Juan Carlos Torres-Galván, Miguel G. Ramírez-Elías, Claudia Luevano-Contreras, and Francisco Javier González
Biomed. Opt. Express 9(10) 4998-5010 (2018)

Combination of pathological and spectroscopic characterization to promote diagnosis of retinal pigment epithelium-Bruch’s membrane complex in a diabetic rat model

Yang Chen, Ting Xie, Minlu Ye, Qiaoling Lai, Yuting Wang, Yunchao Xu, Wenyi Chen, Weidong Zheng, Shangyuan Feng, and Yan Huang
Biomed. Opt. Express 12(4) 2221-2235 (2021)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.