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结核治疗过程中的血液基因表达模式的不同阶段反映了体液免疫反应的调节。

Distinct phases of blood gene expression pattern through tuberculosis treatment reflect modulation of the humoral immune response.

机构信息

Immunology and Infection Department, London School of Hygiene and Tropical Medicine, London, United Kingdom.

出版信息

J Infect Dis. 2013 Jan 1;207(1):18-29. doi: 10.1093/infdis/jis499. Epub 2012 Aug 7.

Abstract

BACKGROUND

Accurate assessment of treatment efficacy would facilitate clinical trials of new antituberculosis drugs. We hypothesized that early alterations in peripheral immunity could be measured by gene expression profiling in tuberculosis patients undergoing successful conventional combination treatment.

METHODS

Ex vivo blood samples from 27 pulmonary tuberculosis patients were assayed at diagnosis and during treatment. RNA was processed and hybridized to Affymetrix GeneChips, to determine expression of over 47,000 transcripts.

RESULTS

There were significant ≥ 2-fold changes in expression of >4000 genes during treatment. Rapid, large-scale changes were detected, with down-regulated expression of 1261 genes within the first week, including inflammatory markers such as complement components C1q and C2. This was followed by slower changes in expression of different networks of genes, including a later increase in expression of B-cell markers, transcription factors, and signaling molecules.

CONCLUSIONS

The fast initial down-regulation of expression of inflammatory mediators coincided with rapid killing of actively dividing bacilli, whereas slower delayed changes occurred as drugs acted on dormant bacilli and coincided with lung pathology resolution. Measurement of biosignatures during clinical trials of new drugs could be useful predictors of rapid bactericidal or sterilizing drug activity, and would expedite the licensing of new treatment regimens.

摘要

背景

准确评估治疗效果将有助于新抗结核药物的临床试验。我们假设,成功接受常规联合治疗的肺结核患者外周免疫的早期变化可以通过基因表达谱来衡量。

方法

对 27 例肺结核患者的体外血样在诊断时和治疗期间进行了检测。处理 RNA 并将其杂交到 Affymetrix GeneChips 上,以确定超过 47000 个转录本的表达。

结果

在治疗过程中,有超过 4000 个基因的表达发生了显著的≥2 倍变化。检测到快速、大规模的变化,在第一周内有 1261 个基因的表达下调,包括补体成分 C1q 和 C2 等炎症标志物。随后是不同基因网络表达的较慢变化,包括 B 细胞标志物、转录因子和信号分子的表达增加。

结论

炎症介质表达的快速初始下调与活跃分裂细菌的快速杀灭相吻合,而较慢的延迟变化则发生在药物作用于休眠细菌时,并与肺部病理缓解相吻合。在新药临床试验中测量生物标志物可能是快速杀菌或灭菌药物活性的有用预测指标,并将加快新治疗方案的许可。

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