用振动光谱分析巨结肠病的组织:作为术中新工具的可行性和潜力

IF 3.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL Analyst Pub Date : 2025-02-10 DOI:10.1039/D4AN01489H
C. Combescot, O. Piot, V. Untereiner, A. Durlach and F. Laconi
{"title":"用振动光谱分析巨结肠病的组织:作为术中新工具的可行性和潜力","authors":"C. Combescot, O. Piot, V. Untereiner, A. Durlach and F. Laconi","doi":"10.1039/D4AN01489H","DOIUrl":null,"url":null,"abstract":"<p >Hirschsprung disease is a congenital anomaly characterised by an absence of innervation in the colon. The current diagnosis, which involves identifying the non-functional part of the colon through histological examination, is unsatisfactory. The objective of our study was to assess the potential of infrared spectroscopy as a label-free method to distinguish between functional and non-functional parts of the colon. Tissue samples from FFPE sections of Hirschsprung patients, taken from both functional and non-functional regions, were analysed by mid-infrared imaging. Colour-coded spectral images, reconstructed using multivariate data processing, were compared to the gold standard (hematoxylin–eosin–safran staining) to associate a specific spectral signature with each histological structure. Statistical analyses were also carried out to highlight infrared markers associated with Hirschsprung disease. The search for ganglion cells and cholinergic threads, the usual markers of the disease, was unsuccessful. However, our approach was efficient in differentiating between functional and non-functional parts of the colon by focussing on the muscularis. As such, vibrational spectroscopy can highlight biochemical differences that are not visible using standard histology. This proof-of-concept study suggests that vibrational spectroscopy is a candidate method for diagnosing Hirschsprung disease, paving the way for intraoperative application by assisting surgeons and histologists in delineating the pathological region.</p>","PeriodicalId":63,"journal":{"name":"Analyst","volume":" 7","pages":" 1293-1302"},"PeriodicalIF":3.6000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tissue analysis by vibrational spectroscopy in Hirschsprung disease: feasibility and potential as a new intraoperative tool†\",\"authors\":\"C. Combescot, O. Piot, V. Untereiner, A. Durlach and F. Laconi\",\"doi\":\"10.1039/D4AN01489H\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Hirschsprung disease is a congenital anomaly characterised by an absence of innervation in the colon. The current diagnosis, which involves identifying the non-functional part of the colon through histological examination, is unsatisfactory. The objective of our study was to assess the potential of infrared spectroscopy as a label-free method to distinguish between functional and non-functional parts of the colon. Tissue samples from FFPE sections of Hirschsprung patients, taken from both functional and non-functional regions, were analysed by mid-infrared imaging. Colour-coded spectral images, reconstructed using multivariate data processing, were compared to the gold standard (hematoxylin–eosin–safran staining) to associate a specific spectral signature with each histological structure. Statistical analyses were also carried out to highlight infrared markers associated with Hirschsprung disease. The search for ganglion cells and cholinergic threads, the usual markers of the disease, was unsuccessful. However, our approach was efficient in differentiating between functional and non-functional parts of the colon by focussing on the muscularis. As such, vibrational spectroscopy can highlight biochemical differences that are not visible using standard histology. This proof-of-concept study suggests that vibrational spectroscopy is a candidate method for diagnosing Hirschsprung disease, paving the way for intraoperative application by assisting surgeons and histologists in delineating the pathological region.</p>\",\"PeriodicalId\":63,\"journal\":{\"name\":\"Analyst\",\"volume\":\" 7\",\"pages\":\" 1293-1302\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analyst\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2025/an/d4an01489h\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analyst","FirstCategoryId":"92","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/an/d4an01489h","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

摘要

巨结肠疾病是一种先天性异常,其特征是结肠内缺乏神经支配。目前的诊断,包括通过组织学检查确定结肠的无功能部分是不满意的。我们研究的目的是评估红外光谱作为一种无标签方法区分结肠功能和非功能部分的潜力。从Hirschsprung患者的FFPE组织切片中,通过中红外成像分析了功能区域和非功能区域的组织样本。通过多变量数据处理重建的彩色编码光谱图像与金标准(苏木精-伊红-红花染色)进行比较,以将特定的光谱特征与每个特定的组织学结构相关联。还进行了统计分析,以突出与巨结肠病相关的红外标记物。对神经节细胞和胆碱能线的研究,通常是疾病的制造者,是不成功的。然而,我们的方法是有效的区分功能性和非功能性部分的结肠通过聚焦肌层。因此,振动光谱学可以突出使用标准组织学无法看到的生化差异。这项概念验证研究表明,振动光谱学是一种诊断巨结肠疾病的候选方法,通过帮助外科医生和组织学家描绘病理区域,为术中应用铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Tissue analysis by vibrational spectroscopy in Hirschsprung disease: feasibility and potential as a new intraoperative tool†

Hirschsprung disease is a congenital anomaly characterised by an absence of innervation in the colon. The current diagnosis, which involves identifying the non-functional part of the colon through histological examination, is unsatisfactory. The objective of our study was to assess the potential of infrared spectroscopy as a label-free method to distinguish between functional and non-functional parts of the colon. Tissue samples from FFPE sections of Hirschsprung patients, taken from both functional and non-functional regions, were analysed by mid-infrared imaging. Colour-coded spectral images, reconstructed using multivariate data processing, were compared to the gold standard (hematoxylin–eosin–safran staining) to associate a specific spectral signature with each histological structure. Statistical analyses were also carried out to highlight infrared markers associated with Hirschsprung disease. The search for ganglion cells and cholinergic threads, the usual markers of the disease, was unsuccessful. However, our approach was efficient in differentiating between functional and non-functional parts of the colon by focussing on the muscularis. As such, vibrational spectroscopy can highlight biochemical differences that are not visible using standard histology. This proof-of-concept study suggests that vibrational spectroscopy is a candidate method for diagnosing Hirschsprung disease, paving the way for intraoperative application by assisting surgeons and histologists in delineating the pathological region.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: "Analyst" journal is the home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences.
期刊最新文献
Analysing volatile organic compounds (VOCs) with SERS by bubbling into colloidal nanoparticles. A novel MoS2@Ga-doped ZnO heterojunction SERS substrate for tetracycline detection in water and milk. A dual-mode nano-microelectrode for PTH detection at the single-cell level. A thin organic film electrode as a biomimetic platform for indirect electrochemical study of the anticancer drug vinblastine. Application of mass spectrometry techniques for analysis of higher order structure of proteins.
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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