The role of RNA repair in bacterial responses to translation-inhibiting antibiotics

当细菌对旨在杀死他们的药物产生抗药性时，就会发生抗生素耐药性。这意味着这些药物在治疗感染方面变得不那么有效。它可能导致超级细菌的发展，这些超级细菌非常困难，有时无法治疗，导致更长的疾病，更高的医疗费用，在严重的情况下，甚至死亡。抗生素耐药性被认为是一个重大的全球健康威胁，已经对卫生服务造成干扰，并导致每年许多人死亡。除非我们找到方法限制耐药性的发展和传播，否则情况将变得更糟，而且随着许多治疗和手术依赖抗生素来预防感染，耐药性有可能根除我们所知的现代医学。耐药性可以随着时间的推移自然演变，但过度使用或误用抗生素往往会加速这一过程。抗生素耐受性是设计负责任的治疗策略以优化抗生素使用的主要瓶颈。耐受性是指细菌可以在正常情况下会杀死它们的抗生素下存活下来。这发生在耐药性形成之前，通常需要更高剂量的抗生素或更长的治疗时间。我们建议研究一种耐受性，这种耐受性允许细菌在暴露于针对核糖体的抗生素时继续生长，核糖体是产生细胞功能和生长所需蛋白质的核心分子机制。最近的研究表明，当细菌接触到这些药物时，一些细胞会激活一种特定的分子修复系统，即RTC系统，尽管使用了抗生素，这些细胞仍然可以继续生长。RTC系统帮助细胞修复受损的RNA，RNA在细胞中执行许多重要功能，并构成核糖体本身的相当大一部分。我们试图了解RTC的RNA修复是如何帮助细菌在抗生素中生存的。我们将研究RTC如何与核糖体相互作用，以及这如何影响单个细菌细胞的生长。我们将使用数据创建一个计算机模型，描述抗生素对核糖体的有害作用以及RTC的反修复作用。计算机模拟比真实世界的实验快得多，因此可以帮助我们加快开发新的科学见解和解决方案，这通常需要长时间的反复试验。计算模型将能够预测细菌对抗生素的反应，它将帮助我们理解为什么一些细菌比其他细菌更耐受，以及它们如何在耐受和敏感状态之间切换。我们将使用该模型帮助我们就如何开发更好的感染治疗方法提出新的假设，这将指导未来的实验工作，并阐明如何减缓耐药性的发展。

Antibiotic resistance happens when bacteria become resistant to the drugs that were designed to kill them. This means that the drugs become less effective at treating infections. It can lead to the development of superbugs that are very difficult and sometimes impossible to treat, leading to longer illness, higher healthcare costs, and in severe cases, death. Antibiotic resistance is considered a major global health threat that already causes disruption to health services and leads to many deaths every year. Unless we find ways to limit the development and spread of resistance, it is set to become worse, and with many treatments and surgeries relying on antibiotics to prevent infections, resistance has the potential to uproot modern medicine as we know it.Resistance can evolve naturally over time, but this is often accelerated by the overuse or misuse of antibiotics. Antibiotic tolerance is a major bottleneck in designing responsible treatment strategies that optimise the use of antibiotics. Tolerance is when bacteria can survive exposure to antibiotics that would normally kill them. This happens before resistance develops and typically requires higher doses of antibiotics or longer treatment. We propose to study a type of tolerance that allows bacteria to keep growing when exposed to antibiotics that target the ribosome, which is the core molecular machinery that produces proteins needed for cellular function and growth. Recent research has shown that when bacteria are exposed to these drugs, some of the cells activate a specific molecular repair system, the Rtc system, and that these cells can keep growing despite the antibiotics. The Rtc system helps cells repair damaged RNA, which performs many vital functions in cells and makes up a sizeable part of the ribosome itself. We seek to understand how RNA repair by Rtc helps bacteria survive antibiotics. We will study how Rtc interacts with ribosomes and how this affects the growth of individual bacterial cells. We will use data to create a computer model that describes the detrimental actions of antibiotics to ribosomes and the counter repair actions of Rtc. Computer simulations are much faster than real-world experiments, and so can help us speed up the development of new scientific insights and solutions, which typically require lengthy rounds of trial-and-error experiments. The computational model will be able to predict how bacteria will respond to antibiotics, and it will help us understand why some bacteria are more tolerant than others and how they can switch between tolerant and susceptible states. We will use the model to help us produce new hypotheses on how to develop better treatments for infections, which will guide future experimental work and shed light on how to slow down the development of resistance.