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用于尿液代谢物高分辨率核磁共振分析的HSQC/F-PSYCHE TOCSY NOAH超级序列

HSQC/F-PSYCHE TOCSY NOAH Supersequence for High-Resolution NMR Analysis of Urine Metabolites.

作者信息

Pandey Aditi, Tiwari Nidhi, Sahu Amrita, Baishya Bikash

机构信息

Centre of Biomedical Research, Lucknow, Uttar Pradesh, India.

Academy of Scientific and Innovative Research (AcSIR), Centre of Biomedical Research, Lucknow, Uttar Pradesh, India.

出版信息

Magn Reson Chem. 2025 Oct;63(10):810-823. doi: 10.1002/mrc.70013. Epub 2025 Jul 20.

Abstract

Accurate assignment of metabolites is the backbone of metabolomics studies. Two-dimensional (2D) NMR plays a critical role in the accurate assignment of metabolites. Characterization of 2D spectra such as H-C HSQC and H-H TOCSY combined with database queries enables reliable metabolite identification for metabolic profiling and biological interpretation. However, recording a high-quality H-C HSQC spectrum at C natural abundance in biofluids requires extensive NMR signal averaging, often taking up to 24 h. Reducing the number of t increments or scans is not useful in metabolomics as it compromises the sensitivity needed to detect low-abundance metabolites. "NMR by Ordered Acquisition using H detection," or NOAH, supersequences are ideally suited for accelerated data collection in biofluids. Instead of shortening individual experiments, NOAH enables the simultaneous acquisition of multiple 2D experiments without compromising sensitivity. The principle of NOAH lies in utilizing the undisturbed magnetization from one experiment (e.g., H-C HSQC) for subsequent experiments (e.g., H-H TOCSY) within the same scan. Previous studies have demonstrated the utility of the HSQC + TOCSY NOAH-2 supersequence for metabolomics applications. Nevertheless, due to the complexity of biofluids, even regular 2D TOCSY spectra often suffer from signal overlap, arising from numerous metabolite peaks, multiplet structures, and limited H chemical shift dispersion. The pure shift F-PSYCHE TOCSY experiment addresses this challenge by offering a single peak per resonance, thereby greatly reducing signal overlap. In this work, we present HSQC + F-PSYCHE TOCSY NOAH-2 supersequence for the analysis of human urine.

摘要

代谢物的准确归属是代谢组学研究的核心。二维(2D)核磁共振在代谢物的准确归属中起着关键作用。诸如H-C HSQC和H-H TOCSY等二维谱图的特征分析,结合数据库查询,能够为代谢谱分析和生物学解读实现可靠的代谢物鉴定。然而,在生物流体中以碳的自然丰度记录高质量的H-C HSQC谱图需要大量的核磁共振信号平均,通常需要长达24小时。在代谢组学中减少t增量或扫描次数并无帮助,因为这会损害检测低丰度代谢物所需的灵敏度。“利用氢检测进行有序采集的核磁共振”(NOAH)超序列非常适合在生物流体中加速数据采集。NOAH并非缩短单个实验,而是能够在不影响灵敏度的情况下同时采集多个二维实验。NOAH的原理在于利用一个实验(如H-C HSQC)中未受干扰的磁化强度用于同一扫描中的后续实验(如H-H TOCSY)。先前的研究已经证明了HSQC + TOCSY NOAH-2超序列在代谢组学应用中的实用性。然而,由于生物流体的复杂性,即使是常规的二维TOCSY谱图也常常因众多代谢物峰、多重峰结构和有限的氢化学位移分散而遭受信号重叠。纯位移F-PSYCHE TOCSY实验通过每个共振提供单个峰来应对这一挑战,从而大大减少信号重叠。在这项工作中,我们展示了用于分析人类尿液的HSQC + F-PSYCHE TOCSY NOAH-2超序列。

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