Igrejas Gilberto, Correia Susana, Silva Vanessa, Hébraud Michel, Caniça Manuela, Torres Carmen, Gomes Catarina, Nogueira Fernanda, Poeta Patrícia
Department of Genetics and Biotechnology, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal.
Functional Genomics and Proteomics Unit, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal.
Front Microbiol. 2018 Dec 7;9:2964. doi: 10.3389/fmicb.2018.02964. eCollection 2018.
Methicillin-resistant (MRSA) is one of the most important multidrug-resistant nosocomial pathogens worldwide with infections leading to high rates of morbidity and mortality, a significant burden to human and veterinary clinical practices. The ability of colonies to form biofilms on biotic and abiotic surfaces contributes further to its high antimicrobial resistance (AMR) rates and persistence in both host and non-host environments, adding a major ecological dimension to the problem. While there is a lot of information on MRSA prevalence in humans, data about MRSA in animal populations is scarce, incomplete and dispersed. This project is an attempt to evaluate the current epidemiological status of MRSA in Portugal by making a single case study from a One Health perspective. We aim to determine the prevalence of MRSA in anthropogenic sources liable to contaminate different animal habitats. The results obtained will be compiled with existing data on antibiotic resistant staphylococci from Portugal in a user-friendly database, to generate a geographically detailed epidemiological output for surveillance of AMR in MRSA. To achieve this, we will first characterize AMR and genetic lineages of MRSA circulating in northern Portugal in hospital wastewaters, farms near hospitals, farm animals that contact with humans, and wild animals. This will indicate the extent of the AMR problem in the context of local and regional human-animal-environment interactions. MRSA strains will then be tested for their ability to form biofilms. The proteomes of the strains will be compared to better elucidate their AMR mechanisms. Proteomics data will be integrated with the genomic and transcriptomic data obtained. The vast amount of information expected from this omics approach will improve our understanding of AMR in MRSA biofilms, and help us identify new vaccine candidates and biomarkers for early diagnosis and innovative therapeutic strategies to tackle MRSA biofilm-associated infections and potentially other AMR superbugs.
耐甲氧西林金黄色葡萄球菌(MRSA)是全球最重要的多重耐药性医院病原体之一,其感染会导致高发病率和死亡率,给人类和兽医临床实践带来重大负担。该菌在生物和非生物表面形成生物膜的能力进一步导致其高抗菌耐药率,并使其在宿主和非宿主环境中持续存在,为这一问题增添了重要的生态维度。虽然关于人类中MRSA流行情况的信息很多,但关于动物群体中MRSA的数据却很少、不完整且分散。本项目试图从“同一健康”视角进行单案例研究,以评估葡萄牙MRSA的当前流行病学状况。我们旨在确定易污染不同动物栖息地的人为来源中MRSA的流行情况。所获得的结果将与葡萄牙现有的抗生素耐药葡萄球菌数据一起汇编到一个用户友好的数据库中,以生成地理上详细的流行病学输出,用于监测MRSA中的抗菌耐药性。为实现这一目标,我们将首先对葡萄牙北部医院废水、医院附近农场、与人类接触的农场动物和野生动物中传播的MRSA的抗菌耐药性和遗传谱系进行表征。这将表明在当地和区域人-动物-环境相互作用背景下抗菌耐药性问题的程度。然后将测试MRSA菌株形成生物膜的能力。将比较这些菌株的蛋白质组,以更好地阐明其抗菌耐药机制。蛋白质组学数据将与获得的基因组和转录组数据整合。这种组学方法预期产生的大量信息将增进我们对MRSA生物膜中抗菌耐药性的理解,并帮助我们识别新的疫苗候选物和生物标志物,用于早期诊断以及制定创新治疗策略,以应对与MRSA生物膜相关的感染以及潜在的其他抗菌耐药超级细菌。