SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom.
Phys Rev Lett. 2012 Aug 24;109(8):088101. doi: 10.1103/PhysRevLett.109.088101. Epub 2012 Aug 20.
Drug gradients are believed to play an important role in the evolution of bacteria resistant to antibiotics and tumors resistant to anticancer drugs. We use a statistical physics model to study the evolution of a population of malignant cells exposed to drug gradients, where drug resistance emerges via a mutational pathway involving multiple mutations. We show that a nonuniform drug distribution has the potential to accelerate the emergence of resistance when the mutational pathway involves a long sequence of mutants with increasing resistance, but if the pathway is short or crosses a fitness valley, the evolution of resistance may actually be slowed down by drug gradients. These predictions can be verified experimentally, and may help to improve strategies for combating the emergence of resistance.
药物梯度被认为在抗生素耐药细菌和抗癌药物耐药肿瘤的演变中起着重要作用。我们使用统计物理模型来研究暴露于药物梯度的恶性细胞群体的进化,其中耐药性通过涉及多个突变的突变途径出现。我们表明,当突变途径涉及具有递增抗性的长序列突变体时,非均匀药物分布有可能加速抗性的出现,但是如果途径较短或穿过适应度低谷,则药物梯度实际上可能会减慢抗性的进化。这些预测可以通过实验验证,并可能有助于改进对抗耐药性出现的策略。