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尿液代谢组学能否有助于区分神经性疼痛和伤害感受性疼痛?一项概念验证研究。

Can Urine Metabolomics Be Helpful in Differentiating Neuropathic and Nociceptive Pain? A Proof-of-Concept Study.

作者信息

Finco Gabriele, Locci Emanuela, Mura Paolo, Massa Roberta, Noto Antonio, Musu Mario, Landoni Giovanni, d'Aloja Ernesto, De-Giorgio Fabio, Scano Paola, Evangelista Maurizio

机构信息

Department of Medical Sciences "M. Aresu", University of Cagliari, Cagliari, Italy.

Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy.

出版信息

PLoS One. 2016 Mar 2;11(3):e0150476. doi: 10.1371/journal.pone.0150476. eCollection 2016.

Abstract

The diagnosis of pain nature is a troublesome task and a wrong attribution often leads to an increase of costs and to avoidable pharmaceutical adverse reactions. An objective and specific approach to achieve this diagnosis is highly desirable. The aim of this work was to investigate urine samples collected from patients suffering from pain of different nature by a metabolomics approach based on (1)H NMR spectroscopy and multivariate statistical analysis. We performed a prospective study on 74 subjects: 37 suffering from pain (12 with nociceptive and 25 with neuropathic pain), and 37 controls not suffering from any kind of chronic pain. The application of discriminant analysis on the urine spectral profiles allowed us to classify these two types of pain with high sensibility and specificity. Although the classification relies on the global urine metabolic profile, the individual contribution in discriminating neuropathic pain patients of metabolites such as choline and phosphocholine, taurine and alanine, suggests potential lesions to the nervous system. To the best of our knowledge, this is the first time that a urine metabolomics profile is used to classify these two kinds of pain. This methodology, although based on a limited sample, may constitute the basis for a new helpful tool in the clinical diagnosis.

摘要

疼痛性质的诊断是一项棘手的任务,错误的归因往往会导致成本增加以及出现可避免的药物不良反应。因此,非常需要一种客观且具体的方法来进行这种诊断。这项工作的目的是通过基于¹H NMR光谱和多变量统计分析的代谢组学方法,研究从患有不同性质疼痛的患者身上采集的尿液样本。我们对74名受试者进行了一项前瞻性研究:37名患有疼痛(12名患有伤害性疼痛,25名患有神经性疼痛),37名没有任何慢性疼痛的对照者。对尿液光谱图应用判别分析,使我们能够以高灵敏度和特异性对这两种类型的疼痛进行分类。尽管分类依赖于整体尿液代谢谱,但胆碱、磷酸胆碱、牛磺酸和丙氨酸等代谢物在区分神经性疼痛患者方面的个体贡献,提示了神经系统可能存在的病变。据我们所知,这是首次使用尿液代谢组学谱来对这两种疼痛进行分类。这种方法虽然基于有限的样本,但可能构成临床诊断中一种新的有用工具的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b44/4775074/0a83d79d810f/pone.0150476.g001.jpg

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