Isolated Wastewater Bacteria

Infections with antimicrobial resistant organisms are an important cause of morbidity and mortality worldwide and an ever-growing public health concern. The ability of tracking the geographical distribution and spread of antimicrobial resistance (AR) allows the implementation of infection prevention strategies such as targeted admission screenings. Localization of specific threats is also useful in raising awareness in the healthcare community. Here we present preliminary data on the use of wastewater samples to create endemicity maps of established AR threats such as Carbapenem Resistant Enterobacterales (CREs), or to facilitate early detection of non-autochthonous pathogens such as Candida auris.Untreated influent samples from 33 wastewater treatment plants (WTPs) throughout Utah were collected weekly for COVID-19 surveillance and aliquots used for the isolation of CREs and yeasts.

抗菌耐药菌感染是全球范围内发病与死亡的重要诱因，亦是日益严峻的公共卫生关切。追踪抗菌耐药性（antimicrobial resistance, AR）的地理分布与传播态势，可落实针对性入院筛查等感染预防策略。精准定位特定耐药威胁，还有助于提升医疗界的防控认知。本研究提供了利用废水样本绘制已确认抗菌耐药威胁菌株（如碳青霉烯类耐药肠杆菌科（Carbapenem Resistant Enterobacterales, CREs））的地方性流行地图，或是助力早期检出耳念珠菌（Candida auris）这类非本土病原体的初步数据。
本研究每周收集犹他州全境33家污水处理厂（wastewater treatment plants, WTPs）的未经处理进水样本，用于新冠（COVID-19）监测，并取等分样本用于CREs与酵母菌的分离。