LC-MS/MS-based bioanalysis of branched-chain and aromatic amino acids in human serum.

IF 1.9 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Bioanalysis Pub Date : 2024-01-01 Epub Date: 2024-08-19 DOI:10.1080/17576180.2024.2387467
Tianyi Wang, Yalian Zhang, Luan Jia, Ying Li, Lu Wang, Yanru Zhu, Yuxin Jiang, Furong Zhao, Shuang Wang, Dan Song
{"title":"LC-MS/MS-based bioanalysis of branched-chain and aromatic amino acids in human serum.","authors":"Tianyi Wang, Yalian Zhang, Luan Jia, Ying Li, Lu Wang, Yanru Zhu, Yuxin Jiang, Furong Zhao, Shuang Wang, Dan Song","doi":"10.1080/17576180.2024.2387467","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> Branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) were suggested as potential biomarkers in liver disease. This study aimed to develop and validate a simple and rapid LC-MS/MS method to simultaneously measure serum BCAAs and AAAs levels in patients with liver injury, and further establish reference intervals of Chinese healthy adult populations.<b>Patients & methods:</b> Samples were prepared by a one-step protein precipitation and analysis time was 4 min per run.<b>Results:</b> The validation results showed good linearity (r<sup>2</sup> >0.9969), satisfactory accuracy (94.44% - 107.75%) and precision (0.10% - 5.90%).<b>Conclusion:</b> This method proved to be suitable for high-throughput routine clinical use and could be a valuable adjunct diagnosis tool for liver injury and other clinical applications.</p>","PeriodicalId":8797,"journal":{"name":"Bioanalysis","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11389736/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioanalysis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17576180.2024.2387467","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/19 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Aim: Branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) were suggested as potential biomarkers in liver disease. This study aimed to develop and validate a simple and rapid LC-MS/MS method to simultaneously measure serum BCAAs and AAAs levels in patients with liver injury, and further establish reference intervals of Chinese healthy adult populations.Patients & methods: Samples were prepared by a one-step protein precipitation and analysis time was 4 min per run.Results: The validation results showed good linearity (r2 >0.9969), satisfactory accuracy (94.44% - 107.75%) and precision (0.10% - 5.90%).Conclusion: This method proved to be suitable for high-throughput routine clinical use and could be a valuable adjunct diagnosis tool for liver injury and other clinical applications.

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
基于 LC-MS/MS 的人血清中支链氨基酸和芳香族氨基酸的生物分析。
目的:支链氨基酸(BCAAs)和芳香族氨基酸(AAAs)被认为是肝脏疾病的潜在生物标志物。本研究旨在开发并验证一种简便快速的LC-MS/MS方法,用于同时测定肝损伤患者血清中的BCAAs和AAAs水平,并进一步建立中国健康成人血清中BCAAs和AAAs的参考区间:样品经一步蛋白沉淀制备,每次分析时间为4分钟:验证结果表明,该方法线性关系良好(r2 >0.9969),准确度(94.44% - 107.75%)和精密度(0.10% - 5.90%)令人满意:该方法适用于高通量常规临床应用,可作为肝损伤和其他临床应用的重要辅助诊断工具。
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
Bioanalysis
Bioanalysis BIOCHEMICAL RESEARCH METHODS-CHEMISTRY, ANALYTICAL
CiteScore
3.30
自引率
16.70%
发文量
88
审稿时长
2 months
期刊介绍: Reliable data obtained from selective, sensitive and reproducible analysis of xenobiotics and biotics in biological samples is a fundamental and crucial part of every successful drug development program. The same principles can also apply to many other areas of research such as forensic science, toxicology and sports doping testing. The bioanalytical field incorporates sophisticated techniques linking sample preparation and advanced separations with MS and NMR detection systems, automation and robotics. Standards set by regulatory bodies regarding method development and validation increasingly define the boundaries between speed and quality. Bioanalysis is a progressive discipline for which the future holds many exciting opportunities to further reduce sample volumes, analysis cost and environmental impact, as well as to improve sensitivity, specificity, accuracy, efficiency, assay throughput, data quality, data handling and processing. The journal Bioanalysis focuses on the techniques and methods used for the detection or quantitative study of analytes in human or animal biological samples. Bioanalysis encourages the submission of articles describing forward-looking applications, including biosensors, microfluidics, miniaturized analytical devices, and new hyphenated and multi-dimensional techniques. Bioanalysis delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for the modern bioanalyst.
期刊最新文献
High-performance liquid chromatography-tandem mass spectrometry was used to measure 20 antidepressants in human serum. Highlights of the 15th Japan Bioanalysis Forum Symposium. Interference from anti-drug antibodies on the quantification of insulin: a comparison of an LC-MS/MS assay and immunoassays. Quantification of osilodrostat in horse urine using LC/ESI-HRMS to establish an elimination profile for doping control. UPLC-MS/MS method for fluconazole determination in plasma and its application in Mexican patients with candidaemia.
×
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