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NITCD:基于同位素和MS-TDF软件的简化代谢学策略

Dandan Zhang¹, Hairong Zhang¹, Jiajin Yi¹

¹Fujian Provincial Key Laboratory of Innovative Drug Target Research and State Key Laboratory of Cell Stress Biology, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China.

|January 3, 2026

概括

一种新的自然同位素三维组合导化 (NITCD) 方法提高了代谢学准确性. 这种技术增强了代谢物识别和量化,减少了炎症性肠病 (IBD) 研究等研究中的错误阳性.

科学领域:

代谢学代谢学代谢学
分析化学分析化学
生物化学生物化学

背景情况:

导化方法,特别是稳定同位素导化,对于改善代谢学中分析物覆盖率和准确性至关重要.
以往使用MS-TDF软件的同类衍生提供了低成本的代谢学,但由于差异衍生效率,其错误阳性率很高.
现有方法的局限性需要新的方法来加强代谢物识别和量化.

研究的目的:

引入一种新的自然同位素三维组合衍生 (NITCD) 策略,以克服以前方法的局限性.
提高代谢物识别的准确性,并使代谢学中可靠的相对量化成为可能.
将NITCD策略应用于对炎症性肠病 (IBD) 的治疗的研究.

主要方法:

开发和应用自然同位素三维组合衍生 (NITCD) 战略.
使用4--2-氨酸胺为特有的1:1同位素双重模式 (79Br/81Br).
使用质谱三维衍生过器 (MS-TDF) 软件进行智能代谢物识别.
使用2-hydrazinopyridine作为结构匹配的内部标准,以提高量化.

主要成果:

该NITCD战略成功地减少了假阳性识别,并使可靠的相对量化成为可能.
应用在IBD的治疗中,在小鼠血中检测到564种化合物,在结肠中检测到148种,在中检测到81种.
鉴定了风治疗期间的动态代谢变化,揭示了IBD诱导的关键代谢途径变化的潜在逆转.

结论:

根据NITCD的战略,在代谢学方面取得了重大进展,提高了准确性和可靠性.
这种方法有效地识别和量化复杂的生物样本中的代谢物,如血和组织.
莱治疗显示出调节IBD相关的代谢干扰的潜力,在像阿拉基酸和酸代谢等途径中.

关键词:

化物化物炎症性肠病是一种炎症性肠病.这是MS-TDF.代谢学代谢学代谢学莱莱是一个

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