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使用红外生物分型系统的傅里叶变换红外光谱法对肺炎链球菌进行血清分型的评估。

Evaluation of Fourier-Transform Infrared Spectroscopy with IR Biotyper system for Streptococcus pneumoniae serotyping.

作者信息

Romero Camila Tondolo, Moreira Natália Kehl, da Cunha Gabriela Rosa, Mott Mariana Preussler, Dias Cícero, Barth Afonso Luis, Caierão Juliana

机构信息

Laboratório de Pesquisa Em Bacteriologia Clínica, LaBaC, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.

Programa de Pós-Graduação Em Ciências Farmacêuticas, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, RS, 90610-000, Brazil.

出版信息

Eur J Clin Microbiol Infect Dis. 2025 May 21. doi: 10.1007/s10096-025-05162-0.

Abstract

PURPOSE

Streptococcus pneumoniae is an important human pathogen and its virulence is centered on the expression of a polysaccharide capsule. Serotyping pneumococci has clinical and epidemiological relevance. As the gold standard (Quellung reaction) is expensive and somehow laborious, alternative methodologies for timely serotyping are desirable. We aimed to evaluate IR Biotyper (Bruker), which is based on FT-IRS, as a tool for serotyping S. pneumoniae by customizing a classifier focusing on PCV15 serotypes.

METHODS

Initially, we evaluated the Pneumococci serogrouper (Bruker) included in the IR Biotyper software (v.4.0) using 188 retrospective isolates of S. pneumoniae previously serotyped by the gold standard. Lately, these isolates were used to construct (n = 83) and validate (n = 105) the PCV15-Classifier. Overall, 1246 spectra were obtained to create a classification model using artificial neural network (ANN) machine learning in 400 cycles. Finally, prospective S. pneumoniae (n = 61), recovered from patients attended at hospitals in South Brazil, were used for a "real-life" evaluation of both classifiers.

RESULTS

Agreement was higher when using PCV15-Classifier instead of Pneumococci serogrouper (Bruker) among both, retrospective (86.7% versus 68.1%; p = 0.0004) and prospective isolates (75.4% versus 70.5%; p = 0.54), highlighting (i) its better performance for epidemiologically relevant serotypes, such as 3, and (ii) its capacity to discriminate between serotypes of serogroup 19 (19F and 19A).

CONCLUSION

Altogether, our results reiterate the usefulness of IR Biotyper for serotyping S. pneumoniae applying a customized classifier, which can be re-trained whenever needed, following the evolution of serotype distribution.

摘要

目的

肺炎链球菌是一种重要的人类病原体,其毒力集中在多糖荚膜的表达上。肺炎球菌血清分型具有临床和流行病学意义。由于金标准(荚膜肿胀反应)昂贵且有些费力,因此需要及时进行血清分型的替代方法。我们旨在评估基于傅里叶变换红外光谱(FT-IRS)的红外生物分型仪(布鲁克公司),通过定制一个专注于15价肺炎球菌结合疫苗(PCV15)血清型的分类器,作为肺炎链球菌血清分型的工具。

方法

最初,我们使用188株先前经金标准血清分型的肺炎链球菌回顾性分离株,评估了红外生物分型仪软件(v.4.0)中包含的肺炎球菌血清分组器(布鲁克公司)。最近,这些分离株被用于构建(n = 83)和验证(n = 105)PCV15分类器。总共获得了1246个光谱,使用人工神经网络(ANN)机器学习在400个循环中创建一个分类模型。最后,从巴西南部医院就诊患者中分离出的61株前瞻性肺炎链球菌用于对这两种分类器进行“实际应用”评估。

结果

在回顾性分离株(86.7%对68.1%;p = 0.0004)和前瞻性分离株(75.4%对70.5%;p = 0.54)中,使用PCV15分类器时的一致性高于使用肺炎球菌血清分组器(布鲁克公司),这突出表明:(i)其对流行病学相关血清型(如3型)的性能更好,以及(ii)其区分19血清群血清型(19F和19A)的能力。

结论

总体而言,我们的结果重申了红外生物分型仪在应用定制分类器对肺炎链球菌进行血清分型方面的有用性,该分类器可根据血清型分布的演变在需要时重新训练。

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