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核磁共振能解决代谢组学中的一些重大挑战吗?

Can NMR solve some significant challenges in metabolomics?

作者信息

Nagana Gowda G A, Raftery Daniel

机构信息

Northwest Metabolomics Research Center, Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, United States.

Northwest Metabolomics Research Center, Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, United States; Department of Chemistry, University of Washington, Seattle, WA 98195, United States; Fred Hutchinson Cancer Research Center, Seattle, WA 98109, United States.

出版信息

J Magn Reson. 2015 Nov;260:144-60. doi: 10.1016/j.jmr.2015.07.014. Epub 2015 Aug 18.

Abstract

The field of metabolomics continues to witness rapid growth driven by fundamental studies, methods development, and applications in a number of disciplines that include biomedical science, plant and nutrition sciences, drug development, energy and environmental sciences, toxicology, etc. NMR spectroscopy is one of the two most widely used analytical platforms in the metabolomics field, along with mass spectrometry (MS). NMR's excellent reproducibility and quantitative accuracy, its ability to identify structures of unknown metabolites, its capacity to generate metabolite profiles using intact bio-specimens with no need for separation, and its capabilities for tracing metabolic pathways using isotope labeled substrates offer unique strengths for metabolomics applications. However, NMR's limited sensitivity and resolution continue to pose a major challenge and have restricted both the number and the quantitative accuracy of metabolites analyzed by NMR. Further, the analysis of highly complex biological samples has increased the demand for new methods with improved detection, better unknown identification, and more accurate quantitation of larger numbers of metabolites. Recent efforts have contributed significant improvements in these areas, and have thereby enhanced the pool of routinely quantifiable metabolites. Additionally, efforts focused on combining NMR and MS promise opportunities to exploit the combined strength of the two analytical platforms for direct comparison of the metabolite data, unknown identification and reliable biomarker discovery that continue to challenge the metabolomics field. This article presents our perspectives on the emerging trends in NMR-based metabolomics and NMR's continuing role in the field with an emphasis on recent and ongoing research from our laboratory.

摘要

代谢组学领域在基础研究、方法开发以及在生物医学科学、植物与营养科学、药物研发、能源与环境科学、毒理学等多个学科中的应用推动下持续快速发展。核磁共振波谱法(NMR)是代谢组学领域中与质谱法(MS)并列的两个应用最为广泛的分析平台之一。NMR具有出色的重现性和定量准确性,能够鉴定未知代谢物的结构,无需分离即可使用完整生物样本生成代谢物谱,并且能够利用同位素标记底物追踪代谢途径,这些优势为代谢组学应用提供了独特的能力。然而,NMR有限的灵敏度和分辨率仍然是一个重大挑战,限制了通过NMR分析的代谢物数量及其定量准确性。此外,对高度复杂生物样本的分析增加了对新方法的需求,这些新方法需要具备更好的检测能力、更优的未知物鉴定能力以及对更多代谢物进行更准确的定量分析能力。最近的努力在这些方面取得了显著进展,从而增加了常规可定量代谢物的数量。此外,将NMR与MS相结合的努力有望利用这两个分析平台的综合优势,直接比较代谢物数据、鉴定未知物并发现可靠的生物标志物,这些仍是代谢组学领域面临的挑战。本文介绍了我们对基于NMR的代谢组学新兴趋势以及NMR在该领域持续作用的观点,重点介绍了我们实验室最近及正在进行的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d55b/4646661/39ec4cde78c5/nihms-730914-f0001.jpg

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