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Metabolic Profiles Distinguish Non-Dampness-Phlegm and Dampness-Phlegm Patterns among Korean Patients with Acute Cerebral Infarction

机译:代谢谱区分韩国急性脑梗死患者的非湿痰和湿痰模式

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摘要

Traditional Korean Medicine classifies stroke into four subtype patterns according to symptomatic pattern identification: Qi deficiency (QD), Yin deficiency (YD), Dampness-phlegm (DP), and Fire and Heat (FH). This study investigated the difference in metabolic profiles of plasma comparing subjects displaying non-DP and DP patterns. A total of 141 patients with cerebral infarction enrolled in this study were distributed as non-DP (N = 68) and DP (N = 73). Anthropometric parameters and symptom/sign index were measured. Metabolic profiling was performed using ultrahigh-performance liquid chromatography-mass spectrometry. The Ratio of subjects with slippery pulse was higher in DP pattern, but fine pulse was lower than that in non-DP pattern. As a result of metabolomics analysis, twenty-one metabolites displayed different levels between non-DP and DP patterns. Two were identified as lysophosphatidylcholines (LPCs), LPC(18:2), and LPC(20:3) having an unsaturated acyl chain and showed lower levels in DP pattern than in non-DP pattern (P = 0.015, 0.034, resp.). However, the saturated LPCs, LPC(18:0) and LPC(16:0), exhibited slight but statistically insignificant elevation in DP pattern. Our results demonstrated that plasma LPCs with polyunsaturated fatty acid groups were associated with DP pattern and suggest that variation of plasma lipid profiles may serve as potential biomarker for diagnosis of DP pattern.
机译:韩国传统医学根据症状模式识别将中风分为四个亚型:气虚(QD),阴虚(YD),湿热痰(DP)和火热(FH)。这项研究调查了血浆代谢曲线的差异,比较了显示非DP和DP模式的受试者。本研究共纳入141例脑梗死患者,分别为非DP(N = 68)和DP(N = 73)。测量人体测量学参数和症状/体征指数。使用超高效液相色谱-质谱法进行代谢谱分析。 DP模式中有滑脉的受试者的比率较高,而细脉则低于非DP模式的受试者。代谢组学分析的结果是,21种代谢物在非DP模式和DP模式之间显示出不同的水平。两种被鉴定为具有不饱和酰基链的溶血磷脂酰胆碱(LPCs),LPC(18:2)和LPC(20:3),并且DP模式中的水平低于非DP模式中的水平(P = 0.015,0.034,resp。 )。但是,饱和的LPC,LPC(18:0)和LPC(16:0),在DP模式中显示出轻微但统计上无关紧要的升高。我们的结果表明,具有多不饱和脂肪酸基团的血浆LPC与DP模式有关,提示血浆脂质谱的变化可能作为诊断DP模式的潜在生物标志物。

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