Cryo-EM Determination of Eravacycline-Bound Structures of the Ribosome and the Multidrug Efflux Pump AdeJ of Acinetobacter baumannii

利用冷冻电镜技术测定鲍曼不动杆菌核糖体和多药外排泵AdeJ与依拉环素结合的结构

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Abstract

Antibiotic-resistant strains of the Gram-negative pathogen Acinetobacter baumannii have emerged as a significant global health threat. One successful therapeutic option to treat bacterial infections has been to target the bacterial ribosome. However, in many cases, multidrug efflux pumps within the bacterium recognize and extrude these clinically important antibiotics designed to inhibit the protein synthesis function of the bacterial ribosome. Thus, multidrug efflux within A. baumannii and other highly drug-resistant strains is a major cause of failure of drug-based treatments of infectious diseases. We here report the first structures of the Acinetobacter drug efflux (Ade)J pump in the presence of the antibiotic eravacycline, using single-particle cryo-electron microscopy (cryo-EM). We also describe cryo-EM structures of the eravacycline-bound forms of the A. baumannii ribosome, including the 70S, 50S, and 30S forms. Our data indicate that the AdeJ pump primarily uses hydrophobic interactions to bind eravacycline, while the 70S ribosome utilizes electrostatic interactions to bind this drug. Our work here highlights how an antibiotic can bind multiple bacterial targets through different mechanisms and potentially enables drug optimization by taking advantage of these different modes of ligand binding. IMPORTANCE Acinetobacter baumannii has developed into a highly antibiotic-resistant Gram-negative pathogen. The prevalent AdeJ multidrug efflux pump mediates resistance to different classes of antibiotics known to inhibit the function of the 70S ribosome. Here, we report the first structures of the A. baumannii AdeJ pump, both in the absence and presence of eravacycline. We also describe structures of the A. baumannii ribosome bound by this antibiotic. Our results indicate that AdeJ and the ribosome use very distinct binding modes for drug recognition. Our work will ultimately enable structure-based drug discovery to combat antibiotic-resistant A. baumannii infection.

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