Diagnostic application in streptozotocin-induced diabetic retinopathy rats: A study based on Raman spectroscopy and machine learning

IF 2 3区 物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS Journal of Biophotonics Pub Date : 2024-06-21 DOI:10.1002/jbio.202400115
Kunhong Xiao, Li Li, Yang Chen, Rong Lin, Boyuan Wen, Zhiqiang Wang, Yan Huang
{"title":"Diagnostic application in streptozotocin-induced diabetic retinopathy rats: A study based on Raman spectroscopy and machine learning","authors":"Kunhong Xiao,&nbsp;Li Li,&nbsp;Yang Chen,&nbsp;Rong Lin,&nbsp;Boyuan Wen,&nbsp;Zhiqiang Wang,&nbsp;Yan Huang","doi":"10.1002/jbio.202400115","DOIUrl":null,"url":null,"abstract":"<p>Vision impairment caused by diabetic retinopathy (DR) is often irreversible, making early-stage diagnosis imperative. Raman spectroscopy emerges as a powerful tool, capable of providing molecular fingerprints of tissues. This study employs RS to detect ex vivo retinal tissue from diabetic rats at various stages of the disease. Transmission electron microscopy was utilized to reveal the ultrastructural changes in retinal tissue. Following spectral preprocessing of the acquired data, the random forest and orthogonal partial least squares-discriminant analysis algorithms were employed for spectral data analysis. The entirety of Raman spectra and all annotated bands accurately and distinctly differentiate all animal groups, and can identify significant molecules from the spectral data. Bands at 524, 1335, 543, and 435 cm<sup>−1</sup> were found to be associated with the preproliferative phase of DR. Bands at 1045 and 1335 cm<sup>−1</sup> were found to be associated with early stages of DR.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"17 8","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biophotonics","FirstCategoryId":"101","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jbio.202400115","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Vision impairment caused by diabetic retinopathy (DR) is often irreversible, making early-stage diagnosis imperative. Raman spectroscopy emerges as a powerful tool, capable of providing molecular fingerprints of tissues. This study employs RS to detect ex vivo retinal tissue from diabetic rats at various stages of the disease. Transmission electron microscopy was utilized to reveal the ultrastructural changes in retinal tissue. Following spectral preprocessing of the acquired data, the random forest and orthogonal partial least squares-discriminant analysis algorithms were employed for spectral data analysis. The entirety of Raman spectra and all annotated bands accurately and distinctly differentiate all animal groups, and can identify significant molecules from the spectral data. Bands at 524, 1335, 543, and 435 cm−1 were found to be associated with the preproliferative phase of DR. Bands at 1045 and 1335 cm−1 were found to be associated with early stages of DR.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
链脲佐菌素诱导的糖尿病视网膜病变大鼠的诊断应用:基于拉曼光谱和机器学习的研究
糖尿病视网膜病变(DR)造成的视力损害往往是不可逆的,因此早期诊断势在必行。拉曼光谱是一种强大的工具,能够提供组织的分子指纹。本研究利用拉曼光谱检测糖尿病大鼠不同阶段的体外视网膜组织。透射电子显微镜用于揭示视网膜组织的超微结构变化。对获取的数据进行光谱预处理后,采用随机森林和正交偏最小二乘判别分析算法进行光谱数据分析。整个拉曼光谱和所有注释波段都能准确、清晰地区分所有动物组别,并能从光谱数据中识别出重要的分子。研究发现,524、1335、543 和 435 cm-1 处的条带与 DR 的增殖前阶段有关。1045 和 1335 cm-1 处的波段与 DR 的早期阶段有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Biophotonics
Journal of Biophotonics 生物-生化研究方法
CiteScore
5.70
自引率
7.10%
发文量
248
审稿时长
1 months
期刊介绍: The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.
期刊最新文献
Front Cover Issue Information SKYQUANT 3D: Quantifying Vascular Anatomy With an Open-Source Workflow for Comprehensive Analysis of Volumetric Optoacoustic Angiography Data Front Cover Issue Information
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1