A metabolomics approach to stratify patients diagnosed with diabetes mellitus into excess or deficiency syndromes.
A metabolomics approach to stratify patients diagnosed with diabetes mellitus into excess or deficiency syndromes.
复制标题
一种代谢组学方法，将诊断为糖尿病的患者分类为过度或缺乏综合症。
DOI：
10.1155/2015/350703
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Ji G
中科院分区：
文献类型：
--
作者：
Wu T;Yang M;Liu T;Yang L;Ji G
2型糖尿病的发病率在全球范围内持续上升。中医药可以根据糖尿病患者不同的中医证候进行分层，从而允许个性化治疗。代谢组学能够提供疾病亚型的代谢物生物标志物。本研究采用超高效液相色谱-四极杆飞行时间质谱联用技术，对糖尿病患者不同中医证型（实证和虚证）的代谢组学特征进行了研究。我们获得了不同中医证型的糖尿病患者的代谢变化的快照。糖尿病实证患者血清2-吲哚羧酸、亚牛磺酸、哌啶酸和孕酮水平高于虚证患者。过量的患者比缺乏的受试者具有更多的氧化应激，如通过独特的代谢物特征所证明的。结果提供了一个更好的理解代谢物的系统改变在不同的糖尿病综合征。所鉴定的血清代谢物可能与糖尿病患者的亚型分型具有临床相关性，从而导致个性化DM治疗。
The prevalence of type 2 diabetes continuously increases globally. The traditional Chinese medicine (TCM) can stratify the diabetic patients based on their different TCM syndromes and, thus, allow a personalized treatment. Metabolomics is able to provide metabolite biomarkers for disease subtypes. In this study, we applied a metabolomics approach using an ultraperformance liquid chromatography (UPLC) coupled with quadruple-time-of-flight (QTOF) mass spectrometry system to characterize the metabolic alterations of different TCM syndromes including excess and deficiency in patients diagnosed with diabetes mellitus (DM). We obtained a snapshot of the distinct metabolic changes of DM patients with different TCM syndromes. DM patients with excess syndrome have higher serum 2-indolecarboxylic acid, hypotaurine, pipecolic acid, and progesterone in comparison to those patients with deficiency syndrome. The excess patients have more oxidative stress as demonstrated by unique metabolite signatures than the deficiency subjects. The results provide an improved understanding of the systemic alteration of metabolites in different syndromes of DM. The identified serum metabolites may be of clinical relevance for subtyping of diabetic patients, leading to a personalized DM treatment.
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DOI：
10.1155/2012/968083
发表时间：
2012
期刊：
Evidence-based complementary and alternative medicine : eCAM
影响因子：
--
作者：
Wu T;Yang M;Wei HF;He SH;Wang SC;Ji G
通讯作者：
Ji G
影响因子：
4.4
作者：
Craig, Andrew;Sidaway, James;Nicholson, Jeremy
通讯作者：
Nicholson, Jeremy
影响因子：
3.3
作者：
Fontana, Mario;Giovannitti, Federica;Pecci, Laura
通讯作者：
Pecci, Laura
DOI：
10.1007/978-0-387-75681-3_37
发表时间：
2009-01-01
期刊：
TAURINE 7
影响因子：
--
作者：
Gossai, Davekanand;Lau-Cam, Cesar A.
通讯作者：
Lau-Cam, Cesar A.
影响因子：
4.4
作者：
Wang, Xiaoning;Wang, Xiaoyan;Liu, Ping
通讯作者：
Liu, Ping