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首页> 外文期刊>Scientific reports. >Differential integrative omic analysis for mechanism insights and biomarker discovery of abnormal Savda syndrome and its unique Munziq prescription
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Differential integrative omic analysis for mechanism insights and biomarker discovery of abnormal Savda syndrome and its unique Munziq prescription

机译:差异积分层析分析用于异常Savda综合征及其独特Munziq处方的机理研究和生物标志物发现

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Research has shown that many cancers have acommon pathophysiological origin and often present with similar symptoms. In terms of Traditional Uighur Medicine (TUM) Hilit (body fluid) theory, abnormal Savda syndrome (ASS) formed by abnormal Hilit is the common phenotype of complex diseases and in particular tumours. Abnormal Savda Munziq (ASMq), one representative of TUM, has been effective in the treatment of cancer since ancient times. Despite the physiopathology of ASS, the relationship between causative factors and the molecular mechanism of ASMq are not fully understood. The current study expanded upon earlier work by integrating traditional diagnostic approaches with others utilizing systems biology technology for the analysis of proteomic (iTRAQ) and metabolomic ((1)H-NMR) profiles of Uighur Medicine target organ lesion (liver) tumours. The candidate proteins were analyzed by enrichment analysis of the biological process and biomarker filters. Subsequently, 3Omics web-based tools were used to determine the relationships between proteins and appropriate metabolites. ELISA assay and IHC methods were used to verify the proteomic resu the protein von Willebrand factor (vWF) may be the "therapeutic window" of ASMq and biomarkers of ASS. This study is likely to be of great significance for the standardization and modernization of TUM.
机译:研究表明,许多癌症具有常见的病理生理起源,并且常常表现出相似的症状。根据传统的维吾尔医学(TUM)Hilit(体液)理论,由异常Hilit形成的异常Savda综合征(ASS)是复杂疾病尤其是肿瘤的常见表型。 TUM的代表之一,异常的Savda Munziq(ASMq)自古以来就一直有效地治疗癌症。尽管有ASS的生理病理学,但尚未完全了解致病因素与ASMq分子机制之间的关系。当前的研究扩展了早期的工作,将传统的诊断方法与其他利用系统生物学技术分析维吾尔医学目标器官病变(肝脏)肿瘤的蛋白质组学(iTRAQ)和代谢组学((1H-NMR)谱)进行了整合。通过生物过程和生物标记过滤器的富集分析来分析候选蛋白。随后,使用3Omics基于Web的工具来确定蛋白质与适当代谢物之间的关系。 ELISA法和IHC法用于验证蛋白质组学结果。 von Willebrand因子(vWF)蛋白可能是ASMq和ASS生物标志物的“治疗窗口”。这项研究对于TUM的标准化和现代化可能具有重要意义。

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