核磁共振波谱和质谱:代谢组分析的互补方法

Saleem Yousf, Jeetender Chugh
{"title":"核磁共振波谱和质谱:代谢组分析的互补方法","authors":"Saleem Yousf, Jeetender Chugh","doi":"10.18311/JER/2020/27221","DOIUrl":null,"url":null,"abstract":"Over the last decade, the rapid advancement of analytical technologies has made it feasible for researchers to target a wider area of any given biological sample. Metabolomics, an emerging field of scientific research, involves studying the endogenously synthesized small molecules within the biological system. This recently developed ‘omics’ platform has been used for the discovery of disease-specific biomarkers; and for providing deep insights into the etiology and progression of a variety of endocrine disorders, including type 2 diabetes, polycystic ovarian syndrome, Addison’s disease, etc. Nuclear Magnetic Resonance (NMR) spectroscopy and Mass Spectrometry (MS) are the two most powerful and information-rich analytical platforms that have currently been employed in metabolomics studies worldwide. The unique properties of NMR, including a high degree of reproducibility, relative ease of sample preparation, highly quantitative nature, and inherently non-destructive nature, have made it an eminent technique useful in several disciplines of metabolomics. However, a major drawback of this approach is its low sensitivity (≥ 1 μM) when compared with MS. Conversely, MS has the potential to detect the metabolites in the femtomolar to the attomolar range and has a higher resolution (∼10 3 -10 4 ) relative to NMR, but quantification and sample preparation are a little cumbersome. This mini-review discusses the assets and limitations of NMR and MS approaches for metabolomic studies and the latest emerging technological developments that are being used to cope with these limitations in metabolic applications.","PeriodicalId":15664,"journal":{"name":"Journal of Endocrinology and Reproduction","volume":"73 1","pages":"21-30"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Nuclear Magnetic Resonance Spectroscopy and Mass Spectrometry: Complementary Approaches to Analyze the Metabolome\",\"authors\":\"Saleem Yousf, Jeetender Chugh\",\"doi\":\"10.18311/JER/2020/27221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the last decade, the rapid advancement of analytical technologies has made it feasible for researchers to target a wider area of any given biological sample. Metabolomics, an emerging field of scientific research, involves studying the endogenously synthesized small molecules within the biological system. This recently developed ‘omics’ platform has been used for the discovery of disease-specific biomarkers; and for providing deep insights into the etiology and progression of a variety of endocrine disorders, including type 2 diabetes, polycystic ovarian syndrome, Addison’s disease, etc. Nuclear Magnetic Resonance (NMR) spectroscopy and Mass Spectrometry (MS) are the two most powerful and information-rich analytical platforms that have currently been employed in metabolomics studies worldwide. The unique properties of NMR, including a high degree of reproducibility, relative ease of sample preparation, highly quantitative nature, and inherently non-destructive nature, have made it an eminent technique useful in several disciplines of metabolomics. However, a major drawback of this approach is its low sensitivity (≥ 1 μM) when compared with MS. Conversely, MS has the potential to detect the metabolites in the femtomolar to the attomolar range and has a higher resolution (∼10 3 -10 4 ) relative to NMR, but quantification and sample preparation are a little cumbersome. This mini-review discusses the assets and limitations of NMR and MS approaches for metabolomic studies and the latest emerging technological developments that are being used to cope with these limitations in metabolic applications.\",\"PeriodicalId\":15664,\"journal\":{\"name\":\"Journal of Endocrinology and Reproduction\",\"volume\":\"73 1\",\"pages\":\"21-30\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Endocrinology and Reproduction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18311/JER/2020/27221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Endocrinology and Reproduction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18311/JER/2020/27221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在过去的十年里,分析技术的快速发展使得研究人员可以针对任何给定的生物样本进行更广泛的研究。代谢组学是一门新兴的科学研究领域,主要研究生物系统内内源性合成的小分子。这个最近开发的“组学”平台已被用于发现疾病特异性生物标志物;并对多种内分泌疾病的病因和进展提供了深入的见解,包括2型糖尿病、多囊卵巢综合征、艾迪生病等。核磁共振(NMR)光谱和质谱(MS)是目前世界范围内用于代谢组学研究的两个最强大和信息最丰富的分析平台。核磁共振的独特性质,包括高度的可重复性、相对容易的样品制备、高度定量和固有的非破坏性,使其成为代谢组学几个学科中有用的杰出技术。然而,与质谱相比,这种方法的主要缺点是灵敏度低(≥1 μM)。相反,质谱有可能检测飞摩尔到原子摩尔范围内的代谢物,并且相对于核磁共振具有更高的分辨率(~ 10 3 -10 4),但定量和样品制备有点麻烦。这篇小综述讨论了核磁共振和质谱方法在代谢组学研究中的优点和局限性,以及用于应对代谢应用中这些局限性的最新新兴技术发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Nuclear Magnetic Resonance Spectroscopy and Mass Spectrometry: Complementary Approaches to Analyze the Metabolome
Over the last decade, the rapid advancement of analytical technologies has made it feasible for researchers to target a wider area of any given biological sample. Metabolomics, an emerging field of scientific research, involves studying the endogenously synthesized small molecules within the biological system. This recently developed ‘omics’ platform has been used for the discovery of disease-specific biomarkers; and for providing deep insights into the etiology and progression of a variety of endocrine disorders, including type 2 diabetes, polycystic ovarian syndrome, Addison’s disease, etc. Nuclear Magnetic Resonance (NMR) spectroscopy and Mass Spectrometry (MS) are the two most powerful and information-rich analytical platforms that have currently been employed in metabolomics studies worldwide. The unique properties of NMR, including a high degree of reproducibility, relative ease of sample preparation, highly quantitative nature, and inherently non-destructive nature, have made it an eminent technique useful in several disciplines of metabolomics. However, a major drawback of this approach is its low sensitivity (≥ 1 μM) when compared with MS. Conversely, MS has the potential to detect the metabolites in the femtomolar to the attomolar range and has a higher resolution (∼10 3 -10 4 ) relative to NMR, but quantification and sample preparation are a little cumbersome. This mini-review discusses the assets and limitations of NMR and MS approaches for metabolomic studies and the latest emerging technological developments that are being used to cope with these limitations in metabolic applications.
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
自引率
0.00%
发文量
0
期刊最新文献
Impacts of Protein-, L-Tryptophan-, Carbohydrate-, Oil-Rich Diets on Growth Performance, Levels of Melatonin, Oxidative Stress, Antioxidative Agents, and Vital Digestive Enzymes in the Gut of Juvenile Carp (Catla catla) Adipose Tissue Dysfunction in PCOS An Update on the Genetics of Polycystic Ovary Syndrome Evaluating the Relative Efficacy of Synthetic and Natural Drugs in Endometriosis Adopting Molecular Modelling Approach Elucidating the Impact of Secretome Derived from Mesenchymal Stem Cell and Uterine Epithelial Cells During <i>In Vitro</i> Blastocyst Production in Buffalo
×
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