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作 者:刘琳[1] 刘世轩 陆馨悦 王侃 Liu Lin;Liu Shixuan;Lu Xinyue;Wang Kan(School of Sport and Health,Nanjing Sport Institute,Nanjing 210014,Jiangsu Province,China)
机构地区:[1]南京体育学院运动健康学院,江苏省南京市210014
出 处:《中国组织工程研究》2025年第8期1585-1592,共8页Chinese Journal of Tissue Engineering Research
基 金:国家自然科学基金(32000829),项目负责人:刘琳;江苏省高校“青蓝工程”项目,项目负责人:刘琳。
摘 要:背景:慢性肌筋膜触发点通过非靶向代谢组学技术可识别差异性代谢物变化,有助于从内源性小分子代谢物层面理解并进一步探究慢性肌筋膜触发点的病理生理过程和发病机制。目的:以慢性肌筋膜触发点模型大鼠为研究对象,基于尿液代谢组学寻找潜在生物标志物及相关代谢通路。方法:将16只SD大鼠随机分为造模组和正常组,造模组大鼠采用钝性打击结合离心运动(跑台坡度为-16°,跑速为16 m/min,训练时间为90 min/次)方式建立慢性肌筋膜触发点动物模型,每周1次,连续干预8周,休息4周;正常组大鼠不做干预。12周造模结束后,采用代谢笼法收集大鼠造模后24 h尿液,利用液相色谱-质谱联用非靶向代谢组学技术对尿样进行代谢图谱检测,筛选出共同差异代谢物,并进行生物信息学分析。结果与结论:①与正常组相比,造模组有32个差异代谢标志物,其中上调21个、下调11个;依据变量权重值>3,共14个差异代谢物被认定为潜在生物标志物;②京都基因与基因组百科全书富集分析表明,慢性肌筋膜触发点的形成与初级胆汁酸生物合成、花生四烯酸代谢通路密切相关。BACKGROUND:Chronic myofascial trigger points can identify differential metabolite changes through non targeted metabolomics techniques,helping to understand and further explore the pathophysiological processes and pathogenesis of chronic myofascial trigger points from the perspective of endogenous small molecule metabolites.OBJECTIVE:To investigate potential biomarkers and related metabolic pathways based on urine metabolomics in the rat model of chronic myofascial trigger points.METHODS:Sixteen Sprague-Dawley rats were randomly divided into a model group and a normal group.The model group was used to establish a chronic myofascial trigger point animal model by combining blunt hitting with centrifugal exercise(treadmill slope:-16°,running speed:16 m/min,training time:90 minutes each),once a week for 8 continuous weeks,with 4 weeks off.After 12 weeks of modeling,the metabolic cage method was used to collect urine from rats at 24 hours after modeling.Liquid chromatography-mass spectrometry non-targeted metabolomics technology was used to detect metabolic profiles in the urine samples,screen common differential metabolites,and conduct bioinformatics analysis.RESULTS AND CONCLUSION:Compared with the normal group,there were 32 differential metabolic markers in the model group,of which 21 were upregulated and 11 were downregulated.A total of 14 differential metabolites were identified as potential biomarkers based on the value of variable important in projection greater than 3.The enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes indicated that the formation of chronic myofascial trigger points is closely related to metabolic pathways such as primary bile acid biosynthesis and arachidonic acid metabolism.
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