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用于体外诊断综合征方法的创新树状芯片技术:在呼吸道传染病中的应用。

Innovative DendrisChips Technology for a Syndromic Approach of In Vitro Diagnosis: Application to the Respiratory Infectious Diseases.

作者信息

Senescau Alice, Kempowsky Tatiana, Bernard Elodie, Messier Sylvain, Besse Philippe, Fabre Richard, François Jean Marie

机构信息

DENDRIS SAS, F-31670 Labège, France.

Département Génie Mathématiques et Modélisation, Fédérale Université of Toulouse, F-31077 Toulouse, France.

出版信息

Diagnostics (Basel). 2018 Nov 11;8(4):77. doi: 10.3390/diagnostics8040077.

Abstract

Clinical microbiology is experiencing the emergence of the syndromic approach of diagnosis. This paradigm shift will require innovative technologies to detect rapidly, and in a single sample, multiple pathogens associated with an infectious disease. Here, we report on a multiplex technology based on DNA-microarray that allows detecting and discriminating 11 bacteria implicated in respiratory tract infection. The process requires a PCR amplification of bacterial 16S rDNA, a 30 min hybridization step on species-specific oligoprobes covalently linked on dendrimers coated glass slides (DendriChips) and a reading of the slides by a dedicated laser scanner. A diagnostic result is delivered in about 4 h as a predictive value of presence/absence of pathogens using a decision algorithm based on machine-learning method, which was constructed from hybridization profiles of known bacterial and clinical isolated samples and which can be regularly enriched with hybridization profiles from clinical samples. We demonstrated that our technology converged in more than 95% of cases with the microbiological culture for bacteria detection and identification.

摘要

临床微生物学正在经历诊断的综合征方法的出现。这种范式转变将需要创新技术来快速检测单个样本中与传染病相关的多种病原体。在此,我们报告一种基于DNA微阵列的多重技术,该技术能够检测和区分11种与呼吸道感染相关的细菌。该过程需要对细菌16S rDNA进行PCR扩增,在共价连接到树枝状聚合物包被玻片(DendriChips)上的物种特异性寡核苷酸探针上进行30分钟的杂交步骤,并通过专用激光扫描仪读取玻片。使用基于机器学习方法构建的决策算法,从已知细菌和临床分离样本的杂交图谱中得出,并可定期用临床样本的杂交图谱进行补充,大约4小时即可得出作为病原体存在/不存在预测值的诊断结果。我们证明,在超过95%的病例中,我们的技术与用于细菌检测和鉴定的微生物培养结果一致。

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