摘要
      携带在颗粒物上的空气传播抗生素耐药性基因（ARGs）是一个重大的全球公共卫生问题。迄今为止，尽管ARG在多区域传播中发挥着关键作用，但其空中传播模式仍不清楚。在本研究中，通过潜在源贡献函数（PSCF）和浓度加权轨迹（CWT）模型，对细颗粒物（PM2.5）上的空气ARG进行了加载，并基于气流轨迹进行了源跟踪。结果表明，ARG亚型的绝对丰度在冬季通常是夏季的两倍，这可能归因于邯郸市高颗粒物浓度的冬季雾霾事件。严重雾霾事件的外源输入和空气团PM2.5上的ARGs的局部释放可能会导致冬季ARGs水平升高。此外，基于ARGs丰度与PM2.5浓度之间的正相关关系，提出了一个空气ARGs来源追踪模型来估计ARGs的释放和传播。这项研究强调了空气中PM2.5携带的ARGs传播，这促进了抗生素耐药性的全球传播。
Abstract
The transmission of airborne antibiotic resistance genes (ARGs) loaded on particle is a significant global public health concern. Up to date, the dispersal pattern of airborne ARGs remains unclear despite their critical role in multiregional transmission. In this study, airborne ARGs loaded on fine particulate matter (PM2.5) and source tracking based on the airflow trajectories were performed by the potential source contribution function (PSCF) and concentration weighted trajectory (CWT) model. The results show that the absolute abundance of ARG subtypes were generally twice times higher in the winter season than that in the summer season, which could be attributable to winter haze events with high particulate matter concentrations in Handan. Exogenous input from serious haze events and local release of ARGs loaded on PM2.5 of air masses may cause higher levels of ARGs in the winter. Moreover, based on the positive correlation between the abundance of ARGs and PM2.5 concentration, a source tracing model of airborne ARGs was proposed to the estimate of ARGs release and dissemination. This study highlights airborne ARGs transmission loaded on PM2.5 of air masses, which facilitating the global spread of antibiotic resistance.

https://www.sciencedirect.com/science/article/abs/pii/S0304389421018124