Predicting bone aging using spatially offset Raman spectroscopy: a longitudinal analysis on mice

IF 3.8 2区化学 Q1 BIOCHEMICAL RESEARCH METHODS Analytical and Bioanalytical Chemistry Pub Date : 2025-03-07 DOI:10.1007/s00216-025-05819-x

Hongmei Dou, Wendong Sun, Shuo Chen, Keren Chen

{"title":"Predicting bone aging using spatially offset Raman spectroscopy: a longitudinal analysis on mice","authors":"Hongmei Dou, Wendong Sun, Shuo Chen, Keren Chen","doi":"10.1007/s00216-025-05819-x","DOIUrl":null,"url":null,"abstract":"<div><p>Osteoporosis, a global health concern, poses an increasing challenge due to the aging population. While dual-energy X-ray absorptiometry (DXA) scans measuring bone mineral density (BMD) remain the clinical standard for osteoporosis diagnosis, this method’s inability to detect changes in bone chemical composition limits its effectiveness in early diagnosis. This study applies Raman spectroscopy on examining bone aging in Senescence Accelerated Mouse Prone 6 (SAMP6) mice compared to their senescence-resistant controls (SAMR1) over an age period from 6 to 10 months. We performed Raman spectroscopic analysis on mouse tibiae both transcutaneously and on exposed bone. Leave-one-out cross-validation combined with partial least squares regression (LOOCV-PLSR) was applied to analyze Raman spectra to predict age, BMD, and maximum torque (MT) as determined by biomechanical testing. Our results revealed significant correlations between Raman spectroscopic predictions and reference values, particularly for age determination. To our knowledge, this study represents the first demonstration of transcutaneous Raman spectroscopy for accurate bone aging prediction, showing a strong correlation with established reference measurements.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":462,"journal":{"name":"Analytical and Bioanalytical Chemistry","volume":"417 11","pages":"2311 - 2320"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical and Bioanalytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00216-025-05819-x","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}

引用次数: 0

Abstract

Osteoporosis, a global health concern, poses an increasing challenge due to the aging population. While dual-energy X-ray absorptiometry (DXA) scans measuring bone mineral density (BMD) remain the clinical standard for osteoporosis diagnosis, this method’s inability to detect changes in bone chemical composition limits its effectiveness in early diagnosis. This study applies Raman spectroscopy on examining bone aging in Senescence Accelerated Mouse Prone 6 (SAMP6) mice compared to their senescence-resistant controls (SAMR1) over an age period from 6 to 10 months. We performed Raman spectroscopic analysis on mouse tibiae both transcutaneously and on exposed bone. Leave-one-out cross-validation combined with partial least squares regression (LOOCV-PLSR) was applied to analyze Raman spectra to predict age, BMD, and maximum torque (MT) as determined by biomechanical testing. Our results revealed significant correlations between Raman spectroscopic predictions and reference values, particularly for age determination. To our knowledge, this study represents the first demonstration of transcutaneous Raman spectroscopy for accurate bone aging prediction, showing a strong correlation with established reference measurements.

Graphical Abstract

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

利用空间偏移拉曼光谱预测骨老化：对小鼠的纵向分析。

骨质疏松症是一个全球性的健康问题，由于人口老龄化，它提出了越来越大的挑战。虽然双能x线吸收仪（DXA）扫描测量骨矿物质密度（BMD）仍然是骨质疏松症诊断的临床标准，但该方法无法检测骨化学成分的变化，限制了其在早期诊断中的有效性。本研究应用拉曼光谱研究了衰老加速小鼠6 （SAMP6）与抗衰老对照（SAMR1）在6至10个月的年龄期间的骨老化情况。我们对小鼠胫骨进行了拉曼光谱分析，包括经皮和外露骨。采用留一交叉验证结合偏最小二乘回归（LOOCV-PLSR）分析拉曼光谱，预测年龄、BMD和最大扭矩（MT），由生物力学测试确定。我们的研究结果揭示了拉曼光谱预测和参考值之间的显著相关性，特别是在年龄测定方面。据我们所知，这项研究首次证明了经皮拉曼光谱可用于准确的骨老化预测，显示出与既定参考测量值的强相关性。

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

Analytical and Bioanalytical Chemistry 化学-分析化学

CiteScore

8.00

自引率

4.70%

发文量

638

审稿时长

2.1 months

期刊介绍： Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.