Ierardi Vincenzo, Domenichini Paolo, Reali Silvia, Chiappara Gian Marco, Devoto Gianluigi, Valbusa Ugo
Nanomed Labs, Physics Department, University of Genoa, Genoa, Italy.
J Biosci. 2017 Dec;42(4):623-636. doi: 10.1007/s12038-017-9713-6.
In the last decade the detection of the resistance of bacteria to antibiotics treatment, developed by different kind of bacteria, is becoming a huge problem. We hereby present a different approach to the current problem of detection of bacteria resistance to antibiotics. Our aims were to use the atomic force microscopy (AFM) to investigate bacteria morphological changes in response to antibiotics treatment and explore the possibility of reducing the time required to obtain information on their resistance. In particular, we studied bacteria provided by the Lavagna Hospital ASL4 Liguria (Italy), where there are cases linked with antibiotics resistance of the . By comparing AFM images of bacteria strains treated with different antibiotics is possible to identify unambiguously the strains resistant to antibiotics. In fact, the analysis of the AFM images of the antibiotic-sensitive bacteria shows clearly the presence of morphological alterations in the cell wall. While in the case of the antibiotic-resistant bacteria morphological alterations are not present. This approach is based on an easy and potentially rapid AFM analysis.
在过去十年中，不同种类细菌对抗生素治疗产生耐药性的检测正成为一个巨大的问题。在此，我们针对当前细菌对抗生素耐药性的检测问题提出一种不同的方法。我们的目的是利用原子力显微镜（AFM）研究细菌在抗生素治疗后的形态变化，并探索缩短获取其耐药性信息所需时间的可能性。特别是，我们研究了意大利利古里亚大区拉斯佩齐亚省拉瓦尼亚医院提供的细菌，那里存在与[具体细菌名称缺失]抗生素耐药性相关的病例。通过比较用不同抗生素处理的细菌菌株的AFM图像，可以明确识别出对抗生素耐药的菌株。事实上，对抗生素敏感细菌的AFM图像分析清楚地显示出细胞壁存在形态改变。而在抗生素耐药细菌的情况下，则不存在形态改变。这种方法基于简单且可能快速的AFM分析。
