Upur Halmurat, Chen Yin, Kamilijiang Mayila, Deng Wanli, Sulaiman Xierzhatijiang, Aizezi Renaguli, Wu Xiao, Tulake Wuniqiemu, Abudula Abulizi
Key Laboratory of High-Incident Diseases in Uyghur Ethnic Population supported by the Chinese Ministry of Education, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China.
Oncology Center, Affiliated General Hospital of Chinese Medicine, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China.
BMC Complement Altern Med. 2015 Feb 5;15:9. doi: 10.1186/s12906-015-0526-6.
Traditional Uighur medicine shares an origin with Greco-Arab medicine. It describes the health of a human body as the dynamic homeostasis of four normal Hilits (humours), known as Kan, Phlegm, Safra, and Savda. An abnormal change in one Hilit may cause imbalance among the Hilits, leading to the development of a syndrome. Abnormal Savda is a major syndrome of complex diseases that are associated with common biological changes during disease development. Here, we studied the protein expression profile common to tumour patients with Abnormal Savda to elucidate the biological basis of this syndrome and identify potential biomarkers associated with Abnormal Savda.
Patients with malignant tumours were classified by the diagnosis of Uighur medicine into two groups: Abnormal Savda type tumour (ASt) and non-Abnormal Savda type tumour (nASt), which includes other syndromes. The profile of proteins that were differentially expressed in ASt compared with nASt and normal controls (NC) was analysed by iTRAQ proteomics and evaluated by bioinformatics using MetaCore™ software and an online database. The expression of candidate proteins was verified in all plasma samples by enzyme-linked immunosorbent assay (ELISA).
We identified 31 plasma proteins that were differentially expressed in ASt compared with nASt, of which only 10 showed quantitatively different expression between ASt and NC. Bioinformatics analysis indicated that most of these proteins are known biomarkers for neoplasms of the stomach, breast, and lung. ELISA detection showed significant upregulation of plasma SAA1 and SPP24 and downregulation of PIGR and FASN in ASt compared with nASt and NC (p < 0.05).
Abnormal Savda may be causally associated with changes in the whole regulation network of protein expression during carcinogenesis. The expression of potential biomarkers might be used to distinguish Abnormal Savda from other syndromes.
传统维吾尔医学与希腊 - 阿拉伯医学同源。它将人体健康描述为四种正常希立特（体液）的动态平衡，这四种体液被称为黏液质、痰质、胆液质和黑胆质。一种希立特的异常变化可能导致希立特之间的失衡，进而引发综合征。异常黑胆质是复杂疾病的主要综合征，与疾病发展过程中的常见生物学变化相关。在此，我们研究了异常黑胆质肿瘤患者共有的蛋白质表达谱，以阐明该综合征的生物学基础，并确定与异常黑胆质相关的潜在生物标志物。
将恶性肿瘤患者根据维吾尔医学诊断分为两组：异常黑胆质型肿瘤（ASt）和非异常黑胆质型肿瘤（nASt，包括其他综合征）。通过iTRAQ蛋白质组学分析ASt组与nASt组及正常对照（NC）相比差异表达的蛋白质谱，并使用MetaCore™软件和在线数据库通过生物信息学进行评估。通过酶联免疫吸附测定（ELISA）在所有血浆样本中验证候选蛋白质的表达。
我们鉴定出31种在ASt组与nASt组相比差异表达的血浆蛋白，其中只有10种在ASt组与NC组之间表现出定量差异表达。生物信息学分析表明，这些蛋白质中的大多数是已知的胃癌、乳腺癌和肺癌生物标志物。ELISA检测显示，与nASt组和NC组相比，ASt组血浆SAA1和SPP24显著上调，PIGR和FASN下调（p < 0.05）。
异常黑胆质可能与致癌过程中蛋白质表达的整个调控网络变化存在因果关系。潜在生物标志物的表达可能用于将异常黑胆质与其他综合征区分开来。
