Su Jinwen, Liu Yanhua, Yang Bingfen, Cheng Xiaoxing
Medical College of PLA, Beijing 100853, China.
Institution of Tuberculosis Research, No. 309 PLA Hospital, Beijing 100091, China. Email:
Zhonghua Yi Xue Za Zhi. 2014 Nov 18;94(42):3304-9.
To explore the gene expression profiles of severe secondary pulmonary tuberculosis patients.
From May 2012 to October 2013, a total of 103 eligible patients with secondary pulmonary tuberculosis were recruited from Institution of Tuberculosis Research of PLA Hospital No. 309. They were divided into severe secondary pulmonary tuberculosis (severe group) (n = 57) and mild secondary pulmonary tuberculosis (mild group) (n = 46) by the severity of disease . At the same time age-matched healthy controls (n = 45) were selected from healthy subjects undergoing physical examination. Whole genome expression profiling was performed with Affymetrix Gene expression chips for 4 cases in severe group, 3 in mild group and 5 in healthy group. Cluster and bioinformatics analysies were performed on differentially expressed genes in severe versus mild group. The remainders of three groups were 53, 43 and 40 cases respectively used for verify the results of gene chip by real-time fluorescence quantitative PCR (RT-PCR). And 20 cases in severe group, 20 in mild group and 8 in control group were used to verify the expression level of jun oncogene (JUN) on behalf of differential expressed genes. Analysis of variance and non-parametric tests were used for statistic difference analysis among three groups.
There were 406 differentially expressed genes for severe and mild groups. There were 264 down-regulated gene and 142 up-regulated ones. The down-regulated genes were predominant. Cluster analysis show the similarity of gene expression profile in the same group . The result confirmed that the gene chip experiments were both repeatable and reliable. According to gene ontology, the differentially expressed genes were mainly involved in such biological processes as immune response, signal transduction, regulation of transcription (DNA-dependent), inflammatory response, antigen processing and presentation and chemotaxis, etc. Pathway analysis showed differentially expressed genes were involved in 22 pathways of immune response and inflammation. The major pathways included B cell receptor signaling, antigen processing and presentation, Toll-like receptor signaling, MAPK signaling and transforming growth factor-beta (TGF-β) signaling.Real-time fluorescence quantitative PCR (RT-PCR) analysis showed that the statistics of optical density for JUN was P < 0.001 in severe versus mild group. It was down-regulated in severe group. And the expression of JUN was conformed with the result of gene expression chip.
The patients of severe group have a larger number of differential expressed genes versus those of mild group. And severe lung tissue damage in severe group may be correlated with differences in gene expression.
探讨重度继发性肺结核患者的基因表达谱。
2012年5月至2013年10月,从解放军第309医院结核病研究所招募了103例符合条件的继发性肺结核患者。根据病情严重程度将他们分为重度继发性肺结核组(重度组)(n = 57)和轻度继发性肺结核组(轻度组)(n = 46)。同时,从接受体检的健康受试者中选取年龄匹配的健康对照(n = 45)。对重度组4例、轻度组3例和健康组5例进行全基因组表达谱分析,采用Affymetrix基因表达芯片。对重度组与轻度组差异表达基因进行聚类和生物信息学分析。三组其余病例分别为53例、43例和40例,用于通过实时荧光定量PCR(RT-PCR)验证基因芯片结果。重度组20例、轻度组20例和对照组8例用于验证代表差异表达基因的原癌基因jun(JUN)的表达水平。采用方差分析和非参数检验对三组间的统计学差异进行分析。
重度组与轻度组有406个差异表达基因,其中下调基因264个,上调基因142个,下调基因占主导。聚类分析显示同组内基因表达谱具有相似性,结果证实基因芯片实验具有可重复性和可靠性。根据基因本体论,差异表达基因主要参与免疫应答、信号转导、转录调控(DNA依赖性)、炎症反应、抗原加工与呈递以及趋化作用等生物学过程。通路分析显示差异表达基因参与22条免疫应答和炎症相关通路,主要通路包括B细胞受体信号通路、抗原加工与呈递、Toll样受体信号通路、丝裂原活化蛋白激酶(MAPK)信号通路和转化生长因子-β(TGF-β)信号通路。实时荧光定量PCR(RT-PCR)分析显示,重度组与轻度组JUN的光密度统计学结果为P < 0.001,重度组JUN表达下调,且JUN的表达与基因表达芯片结果一致。
重度组患者与轻度组相比差异表达基因数量更多,重度组严重的肺组织损伤可能与基因表达差异有关。