Evaluation of the contribution of shotgun metagenomics in the microbiological diagnosis of liver abscesses

基因组 霰弹枪测序 肺炎克雷伯菌 生物 抵抗性 毒力 微生物学 微生物 全基因组测序 猎枪 DNA测序 基因组 计算生物学 基因 细菌 遗传学 流动遗传元素 大肠杆菌
作者
Kimseng Hadrien,Rhonda Geoffrey,Danjean Maxime,Jimenez-Araya Bryan,Chaligne Camille,Galy Adrien,Souhail Bérénice,Frédéric Bert,Leflon Véronique,Vincent Fihman,Caillault Amandine,Demontant Vanessa,S. Poulsen Sarah,Trawinski Elisabeth,N’Debi Melissa,Boizeau Laure,Jacquier Hervé,Ronot Maxime,Reizine Edouard,Loı̈c Vincent,Linglart Agnès,Rodriguez Christophe,Lepeule Raphaël,Woerther Paul-Louis
出处
期刊:Journal of Infection [Elsevier]
卷期号:87 (5): 365-372 被引量:1
标识
DOI:10.1016/j.jinf.2023.08.004
摘要

Shotgun metagenomics (SMg) sequencing has gained a considerable interest, as it enables the detection of any microorganisms through a single analysis. Due to the limitations of standard microbiological approaches, the microbial documentation of liver abscesses (LA), which is crucial for their medical management, can be difficult. Here we aimed to compare the performance of SMg with standard approaches for the microbiological documentation of LA.In this retrospective study conducted at two centers, we compared the results of standard microbiology with metagenomics analysis of consecutive LA samples. For samples tested positive for Klebsiella pneumoniae, we compared the analysis of virulence and resistance genes using metagenomics data to whole-genome sequencing of corresponding isolates obtained in culture.Out of the 62 samples included, standard approaches and SMg yielded documentation in 80.6% and 96.8%, respectively. In 37.1% (23/62) of cases, both methods showed identical results, whereas in 43.5% (27/62) of cases, the samples were positive by both methods, but SMg found additional species in 88.9% (24/27), mostly anaerobes. When the standard approaches were negative, the SMg was able to detect microorganisms in 80.0% of cases (8/10). Overall, SMg identified significantly more microorganisms than culture (414 vs.105; p<0.05). K. pneumoniae genome analysis was able to detect resistance and virulence genes with a level of sensitivity depending on the depth of sequencing.Overall, we showed that SMg had better performance in detecting and identifying microorganisms from LA samples and could help characterizing strain's resistome and virulome. Although still costly and requiring specific skills and expensive equipment, MGs methods are set to expand in the future.
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