Open AccessHigh-Throughput Approaches for the Identification of Pseudomonas aeruginosa Antivirulents
Author(s) -
Donghoon Kang,
Liyang Zhang,
Natalia V. Kirienko
Publication year - 2021
Publication title -
mbio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.562
H-Index - 121
eISSN - 2161-2129
pISSN - 2150-7511
DOI - 10.1128/mbio.02240-20
Subject(s) - pseudomonas aeruginosa , opportunistic pathogen , biology , identification (biology) , virulence , antibiotic resistance , throughput , pathogen , antimicrobial , human pathogen , computational biology , microbiology and biotechnology , computer science , antibiotics , bacteria , genetics , telecommunications , botany , gene , wireless
Antimicrobial resistance is a serious medical threat, particularly given the decreasing rate of discovery of new treatments. Although attempts to find new treatments continue, it has become clear that merely discovering new antimicrobials, even if they are new classes, will be insufficient. It is essential that new strategies be aggressively pursued. Toward that end, the search for treatments that can mitigate bacterial virulence and tilt the balance of host-pathogen interactions in favor of the host has become increasingly popular. In this review, we will discuss recent progress in this field, with a special focus on synthetic small molecule antivirulents that have been identified from high-throughput screens and on treatments that are effective against the opportunistic human pathogen Pseudomonas aeruginosa .