引用本文: |
李琪,周志强,杨栋,梁小丽,王强,石璐,杨萍,刘学军.基于代谢组学分析精神分裂症不同证型的生物学标志物[J].湖南中医药大学学报,2023,43(3):538-549[点击复制] |
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基于代谢组学分析精神分裂症不同证型的生物学标志物 |
李琪,周志强,杨栋,梁小丽,王强,石璐,杨萍,刘学军 |
(衢州市第三医院, 浙江 衢州 324003;湖南省脑科医院, 湖南 长沙 410000) |
摘要: |
目的 分析精神分裂症(schizophrenia, SZ)患者不同证型的代谢物差异性,研究其不同中医证型潜在标志物,为其辨证分型提供依据。方法 纳入2019年10月至2020年10月在湖南省脑科医院精神科住院的不同证型SZ患者53例,分为痰气郁结组(n=24)、阴虚火旺组(n=15)、心脾两虚组(n=14);同时纳入20例健康者为对照组。使用阳性与阴性症状量表(positive and negative syndrome scale, PANSS)评定症状程度,采用超高效液相色谱-高分辨质谱联用(ultra-high performance liquid chromatography-high resolution mass spectrometry, UPLC-MS)技术分析SZ痰气郁结、阴虚火旺、心脾两虚证患者血浆代谢产物差异,进行多维统计分析,筛选差异代谢物。结果 与对照组比较,SZ患者差异代谢物主要涉及氨基酸及脂类等代谢通路。与阴虚火旺组比较,痰气郁结组3-羟基丁酸、天冬酰胺表达上调,心脾两虚组别胆酸、胆酸表达下调(P<0.05)。结论 SZ患者氨基酸及脂类的代谢存在异常。3-羟基丁酸、天冬酰胺、胆酸、别胆酸表达水平可作为阴虚火旺证的诊断分型指标。 |
关键词: 精神分裂症 证型 超高效液相色谱-高分辨质谱联用 代谢组学 差异代谢物 |
DOI:10.3969/j.issn.1674-070X.2023.03.024 |
投稿时间:2022-12-05 |
基金项目:湖南省卫生健康委科研计划项目(20201050,D202319017874,20200599);湖南省自然科学基金科卫联合项目(2019JJ80025);湖南省中医药科研计划项目(202032);湖南省创新研发项目(2019875-25);湖南省重点研发项目(2020SK2123)。 |
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Analysis of biomarkers of different pattern types of schizophrenia based on metabonomics |
LI Qi,ZHOU Zhiqiang,YANG Dong,LIANG Xiaoli,WANG Qiang,SHI Lu,YANG Ping,LIU Xuejun |
(The Third Hospital of Quzhou, Quzhou, Zhejiang 324003, China;Hunan Provincial Brain Hospital, Changsha, Hunan 410000, China) |
Abstract: |
Objective To analyze metabolite differences of different pattern types in patients with schizophrenia (SZ) and to identify the potential markers of different TCM pattern types, and to provide scientific basis for pattern identification. Methods A total of 53 participants with schizophrenia hospitalized from October 2019 to October 2020 in Psychiatry Department of Hunan Provincial Brain Hospital were divided into phlegm-qi stagnation group (n=24), yin deficiency leading to fire hyperactivity group (n=15), and heart-spleen deficiency group (n=14). The control group included 20 healthy participants. The degree of symptoms was evaluated by positive and negative symptom scale (PANSS), and ultra-high performance liquid chromatography-high resolution mass spectrometry (UPLC-MS) was used to analyze the differences of plasma metabolites of the phlegm-qi stagnation group, yin deficiency leading to fire hyperactivity group, and heart-spleen deficiency group. Multidimensional statistical analysis was performed to screen differential metabolites. Results Compared with the control group, the differential metabolites of SZ patients mainly include the metabolic pathways involving amino acids and lipids. Compared with the yin deficiency and fire excess group, the expression of 3-hydroxybutyric acid and asparagine in the phlegm-qi stagnation group was up-regulated, and the expression of cholic acid and allocholic acid in the heart-spleen deficiency group was down-regulated (P<0.05). Conclusion The metabolism of amino acids and lipids in SZ patients is abnormal. The expression levels of 3-hydroxybutyric acid, valyl-asparagine, cholic acid and allocholic acid can be used as the diagnostic classification index of yin deficiency leading to fire hyperactivity pattern. |
Key words: schizophrenia pattern type ultra-high performance liquid chromatography-high resolution mass spectrometry metabolomics differential metabolites |
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