Metabonomics in Ulcerative Colitis: Diagnostics, Biomarker Identification, And Insight into the Pathophysiology
Metabonomics in Ulcerative Colitis: Diagnostics, Biomarker Identification, And Insight into the Pathophysiology
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溃疡性结肠炎的代谢组学：诊断、生物标志物识别和病理生理学洞察
DOI：
10.1021/pr9008223
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发表时间：
2010-02-01
影响因子：
4.4
通讯作者：
Olsen, Jorgen
中科院分区：
文献类型：
--
作者：
Bjerrum, Jacob T.;Nielsen, Ole H.;Olsen, Jorgen
核磁共振 (NMR) 波谱和适当的多变量统计分析已用于溃疡性结肠炎 (UC) 患者和对照患者的粘膜结肠活检、结肠细胞、淋巴细胞和尿液，以探索诊断可能性，定义新的潜在生物标志物，并更好地了解病理生理学。从活动性 UC 患者 (n = 41)、静止性 UC 患者 (n = 33) 和对照患者 (n = 25) 中收集样本，并通过 NMR 波谱进行分析。使用 SIMCA P+11 软件包（Umetrics，Umea，瑞典）和 Matlab 环境，通过主成分分析和正交投影到潜在结构判别分析进行数据分析。在活检和结肠细胞的代谢谱中发现了对照和活动性 UC 之间的显着差异。在活动性 UC 患者的活检中发现，抗氧化剂和一系列氨基酸水平较高，但脂质、甘油磷酸胆碱 (GPC)、肌醇和甜菜碱水平较低，而结肠细胞仅显示低水平的 GPC、肌醇和胆碱。有趣的是，20% 的不活动 UC 患者与活动状态的患者具有相似的特征。这项研究证明了代谢组学作为活动性和静止性 UC 诊断工具的可能性，并为病理生理机制提供了新的见解。
Nuclear magnetic resonance (NMR) spectroscopy and appropriate multivariate statistical analyses have been employed on mucosal colonic biopsies, colonocytes, lymphocytes, and urine from patients with ulcerative colitis (UC) and controls in order to explore the diagnostic possibilities, define new potential biomarkers, and generate a better understanding of the pathophysiology. Samples were collected from patients with active UC (n = 41), quiescent UC (n = 33), and from controls (n = 25) and analyzed by NMR spectroscopy. Data analysis was carried out by principal component analysis and orthogonal-projection to latent structure-discriminant analysis using the SIMCA P+11 software package (Umetrics, Umea, Sweden) and Matlab environment. Significant differences between controls and active UC were discovered in the metabolic profiles of biopsies and colonocytes. In the biopsies from patients with active UC higher levels of antioxidants and of a range of amino acids, but lower levels of lipid, glycerophosphocholine (GPC), myo-inositol, and betaine were found, whereas the colonocytes only displayed low levels of GPC, myo-inositol and choline. Interestingly, 20% of inactive UC patients had similar profiles to those who were in an active state. This study demonstrates the possibilities of metabonomics as a diagnostic tool in active and quiescent UC and provides new insight into pathophysiologic mechanisms.