Santibáñez Paula, García-García Concepción, Portillo Aránzazu, Santibáñez Sonia, García-Álvarez Lara, de Toro María, Oteo José A
Center of Rickettsiosis and Arthropod-Borne Diseases (CRETAV), Infectious Diseases Department, San Pedro University Hospital-Center for Biomedical Research from La Rioja (CIBIR), 26006 Logroño, Spain.
Genomics and Bioinformatics Core Facility, CIBIR, 26006 Logroño, Spain.
Pathogens. 2021 Dec 29;11(1):34. doi: 10.3390/pathogens11010034.
Infective endocarditis (IE) is a severe and life-threatening disease. Identification of infectious etiology is essential for establishing the appropriate antimicrobial treatment and decreasing mortality. The aim of this study was to explore the potential utility of metataxonomics for improving microbiological diagnosis of IE. Here, next-generation sequencing (NGS) of the V3-V4 region of the 16S rRNA gene was performed in 27 heart valve tissues (18 natives, 5 intravascular devices, and 4 prosthetics) from 27 patients diagnosed with IE (4 of them with negative blood cultures). Metataxonomics matched with conventional diagnostic techniques in 24/27 cases (88.9%). The same bacterial family was assigned to 24 cases; the same genus, to 23 cases; and the same species, to 13 cases. In 22 of them, the etiological agent was represented by percentages > 99% of the reads and in two cases, by ~70%. was detected in a previously microbiological undiagnosed patient. Thus, microbiological diagnosis with 16S rRNA gene targeted-NGS was possible in one more sample than using traditional techniques. The remaining two patients showed no coincidence between traditional and 16S rRNA gene-targeted NGS microbiological diagnoses. In addition, 16S rRNA gene-targeted NGS allowed us to suggest coinfections that were supported by clinical data in one patient, and minority records also verified mixed infections in three cases. In our series, metataxonomics was valid for the identification of the causative agents, although more studies are needed before implementation of 16S rRNA gene-targeted NGS for the diagnosis of IE.
感染性心内膜炎(IE)是一种严重的、危及生命的疾病。确定感染病因对于制定恰当的抗菌治疗方案和降低死亡率至关重要。本研究的目的是探讨宏分类学在改善IE微生物诊断方面的潜在效用。在此,对27例诊断为IE的患者(其中4例血培养阴性)的27个心脏瓣膜组织(18个天然瓣膜、5个血管内装置和4个人工瓣膜)进行了16S rRNA基因V3-V4区域的二代测序(NGS)。宏分类学在24/27例(88.9%)中与传统诊断技术相符。24例确定了相同的细菌科;23例确定了相同的属;13例确定了相同的种。其中22例中,病原体在reads中的占比>99%,2例中占比约为70%。在一名先前微生物学诊断未明确的患者中检测到了 。因此,与传统技术相比,利用靶向16S rRNA基因的NGS在多一个样本中实现了微生物学诊断。其余两名患者的传统微生物学诊断与靶向16S rRNA基因的NGS诊断结果不一致。此外靶向16S rRNA基因的NGS使我们能够在一名患者中发现临床数据支持的合并感染,少数记录也证实了3例混合感染。在我们的研究系列中,宏分类学对于病原体的鉴定是有效的,尽管在将靶向16S rRNA基因的NGS用于IE诊断之前还需要更多的研究。