摘要
目的研究甲状腺结节组织、血浆中miRNA表达谱的差异变化，分析甲状腺结节组织、血浆中miRNA表达的相关性，探讨血浆miRNA作为甲状腺结节标志物的潜在价值。
方法 病例对照研究。选择2015年5至7月在北京中医药大学东直门医院进行甲状腺结节手术女性患者5例；同期来院体检的女性，B超诊断为甲状腺结节的患者16例，无甲状腺结节的正常健康女性15名。采用miRNA芯片技术，对正常甲状腺组织（n＝5）及甲状腺结节组织（n＝5）中miRNA的表达谱进行比较，筛选甲状腺结节组织中差异性表达的miRNA。利用qRT－PCR的方法，在甲状腺结节患者（n＝16）及无结节的健康人（n＝15）的血浆中验证差异表达的miRNA。两组均数比较采用t检验；相关分析采用Pearson相关分析法。
结果 与正常甲状腺组织相比，在甲状腺结节组织中有57个miRNAs发生了差异性表达（t＝3.637, 3.821, 4.907, 3.383,－5.516, 4.332,－4.993, 3.980, 5.208,－2.981, 2.840, 4.945, 4.945,－2.927,－3.561,－4.665, 3.161, 3.363, 4.846, 3.834, 2.826,－3.868, 3.816, 2.802, 5.511, 3.772,－4.424, 3.420, 3.199, 4.320, 4.053, 4.997,－3.292, 5.304,－3.281,－3.262,－4.128,－2.963, 4.228, 2.949, 4.436, 2.796, 3.199,－4.636, 4.091, 3.633, 3.481,－5.344, 4.753,－3.766,－5.340, 4.888,－4.631, 5.511, 2.921,－3.042,－4.935, P〈0.05），34个miRNA表达上调，23个miRNA表达下调。其中表达上调〉1.5倍的有：miR－30d，miR－141，miR－196a，miR－181b，miR－126－5p，miR－494，miR－29b，miR－155，miR－106a＊，miR－181a，miR－20a，miR－10a和miR－106a－5p；表达下调〈0.6倍的miRNA有2个：miR－199a－5p和miR－31。甲状腺结节患者血浆中具有同样差异表达的miRNA有miR－181b，miR－494及miR－106a＊。经Pearson相关性分析，miR－181b, miR－494及miR－106a＊在组织及血浆中的表达有相关性，r值分别为0.713、0.878和0.751，且差异有统计学意义（P
ObjectiveThe variation of miRNAs profiling was identified in thyroid nodule tissue and patient plasma samples, the correlation between the expression of miRNA was analyzed in thyroid nodules and plasma. Furthermore, the importance of miRNA in plasma as a marker in thyroid nodule diagnosis was evaluated.
MethodsCase-control method was used. 5 female patients with thyroid lobectomy in Beijing Dongzhimen Hospital were enrolled during May and July in 2015. 16 female patients with thyroid nodules by ultrasound diagnosis, also15 healthy female without thyroid nodules were recruited during the same time. miRNA array was used to identify a subset of differentially expressed miRNAs between thyroid nodule and adjacent tissue （n=5）. These miRNAs were further validated by real-time RT-PCR in a cohort of 16 thyroid nodule patients and 15 healthy controls. The miRNA expression difference between patients with thyroid nodules and healthy controls was analyzed by t test analysis. The correlation of miRNA expression between thyroid tissue and plasma was analyzed by Pearson correlation analysis.
ResultsThe miRNA array identified 57 miRNAs dysregulation, including 34 upregulation ones and 23 downregulation ones（t=3.637, 3.821, 4.907, 3.383,-5.516, 4.332,-4.993, 3.980, 5.208,-2.981, 2.840, 4.945, 4.945,-2.927,-3.561,-4.665, 3.161, 3.363, 4.846, 3.834, 2.826,-3.868, 3.816, 2.802, 5.511, 3.772,-4.424, 3.420, 3.199, 4.320, 4.053, 4.997,-3.292, 5.304,-3.281,-3.262,-4.128,-2.963, 4.228, 2.949, 4.436, 2.796, 3.199,-4.636, 4.091, 3.633, 3.481,-5.344, 4.753,-3.766,-5.340, 4.888,-4.631, 5.511, 2.921,-3.042,-4.935, P〈0.05）. Those miRNAs, miR-30d, miR-141, miR-196a, miR-181b, miR-126-5p, miR-494, miR-29b, miR-155, miR-106a＊, miR-181a, miR-20a and miR-106a-5p are upregulated （fold change〉1.5） and miR-199a-5p, miR-31 are downregulated （fold change 〈0.6） in thyroid nodule tissue comparing with normal tissue. Their dysregulation was further validated by real time RT-PCR in plasma samples. The significant miRNAs were c
出处
《中华检验医学杂志》
CAS
CSCD
北大核心
2016年第11期837-842,共6页
Chinese Journal of Laboratory Medicine
基金
基金项目：北京中医药大学“临床支持项目”（2013YYLCZC07）
