Sarcoidosis and tuberculosis cytokine profiles: indistinguishable in bronchoalveolar lavage but different in blood.

Sarcoidosis and tuberculosis cytokine profiles: indistinguishable in bronchoalveolar lavage but different in blood.
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DOI:
10.1371/journal.pone.0038083
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Lalvani A
Lalvani A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Thillai M;Eberhardt C;Lewin AM;Potiphar L;Hingley-Wilson S;Sridhar S;Macintyre J;Kon OM;Wickremasinghe M;Wells A;Weeks ME;Mitchell D;Lalvani A

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结节病和结核病在临床、影像学和病理学上的相似性使得疾病的鉴别具有挑战性。一个复杂的因素是一些结节病病例可能是由分枝杆菌引起的。我们假设,免疫学分析可能提供洞察疾病之间的可能关系或允许我们区分它们。我们分析了结节病(n = 18),结核病(n = 12)和健康志愿者(n = 16)的支气管肺泡灌洗液(BAL)。      我们进一步研究了同一组的血清样本;结节病(n = 40),结核病(n = 15)和健康志愿者(n = 40)。      进行多种细胞因子谱的横截面分析,并使用数据区分样品。我们发现,BAL配置文件是无法区分这两种疾病和健康志愿者显着不同。在血清中,结核病患者的Th 2细胞因子白细胞介素-4(IL-4)水平显著低于结节病患者(p = 0.004)。  额外的血清差异使我们能够创建疾病分化的线性回归模型(样本内准确度91%,交叉验证准确度73%)。这些数据保证在独立的队列中进行复制,以进一步开发和验证血清细胞因子特征,该特征可能能够区分结节病和结核病。结节病和结核病之间的系统性Th 2细胞因子差异也可能是相似呼吸刺激导致不同疾病结局的基础。
The clinical, radiological and pathological similarities between sarcoidosis and tuberculosis can make disease differentiation challenging. A complicating factor is that some cases of sarcoidosis may be initiated by mycobacteria. We hypothesised that immunological profiling might provide insight into a possible relationship between the diseases or allow us to distinguish between them. We analysed bronchoalveolar lavage (BAL) fluid in sarcoidosis (n = 18), tuberculosis (n = 12) and healthy volunteers (n = 16). We further investigated serum samples in the same groups; sarcoidosis (n = 40), tuberculosis (n = 15) and healthy volunteers (n = 40). A cross-sectional analysis of multiple cytokine profiles was performed and data used to discriminate between samples. We found that BAL profiles were indistinguishable between both diseases and significantly different from healthy volunteers. In sera, tuberculosis patients had significantly lower levels of the Th2 cytokine interleukin-4 (IL-4) than those with sarcoidosis (p = 0.004). Additional serum differences allowed us to create a linear regression model for disease differentiation (within-sample accuracy 91%, cross-validation accuracy 73%). These data warrant replication in independent cohorts to further develop and validate a serum cytokine signature that may be able to distinguish sarcoidosis from tuberculosis. Systemic Th2 cytokine differences between sarcoidosis and tuberculosis may also underly different disease outcomes to similar respiratory stimuli.
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