Antibiotic combinations that exploit heteroresistance to multiple drugs effectively control infection

抗生素 抗药性 抗生素耐药性 多重耐药 碳青霉烯 生物 微生物学 医学
作者
Victor I. Band,David A. Hufnagel,Siddharth Jaggavarapu,Edgar X. Sherman,Jessie E. Wozniak,Sarah W. Satola,Monica M. Farley,Jesse T. Jacob,Eileen M. Burd,David S. Weiss
出处
期刊:Nature microbiology [Nature Portfolio]
卷期号:4 (10): 1627-1635 被引量:124
标识
DOI:10.1038/s41564-019-0480-z
摘要

Antibiotic-resistant bacteria are a significant threat to human health, with one estimate suggesting they will cause 10 million worldwide deaths per year by 2050, surpassing deaths due to cancer1. Because new antibiotic development can take a decade or longer, it is imperative to effectively use currently available drugs. Antibiotic combination therapy offers promise for treating highly resistant bacterial infections, but the factors governing the sporadic efficacy of such regimens have remained unclear. Dogma suggests that antibiotics ineffective as monotherapy can be effective in combination2. Here, using carbapenem-resistant Enterobacteriaceae (CRE) clinical isolates, we reveal the underlying basis for the majority of effective combinations to be heteroresistance. Heteroresistance is a poorly understood mechanism of resistance reported for different classes of antibiotics3–6 in which only a subset of cells are phenotypically resistant7. Within an isolate, the subpopulations resistant to different antibiotics were distinct, and over 88% of CRE isolates exhibited heteroresistance to multiple antibiotics (‘multiple heteroresistance’). Combinations targeting multiple heteroresistance were efficacious, whereas those targeting homogenous resistance were ineffective. Two pan-resistant Klebsiella isolates were eradicated by combinations targeting multiple heteroresistance, highlighting a rational strategy to identify effective combinations that employs existing antibiotics and could be clinically implemented immediately. Heteroresistance to multiple antibiotics is prevalent across carbapenem-resistant Enterobacteriaceae clinical isolates, but drug combinations that exploit multiple heteroresistance can be used to effectively treat multidrug-resistant infections.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
王提发布了新的文献求助10
刚刚
撸撸大仙发布了新的文献求助10
刚刚
123发布了新的文献求助10
刚刚
二柱子完成签到 ,获得积分10
刚刚
刚刚
所所应助wwwww采纳,获得10
1秒前
1秒前
1秒前
1秒前
李庆林发布了新的文献求助10
1秒前
跳跃凌瑶完成签到,获得积分10
1秒前
kk完成签到,获得积分10
1秒前
1秒前
打打应助Blank_1104采纳,获得10
2秒前
小蘑菇应助Lx采纳,获得10
2秒前
蛇從革应助徐潇潇采纳,获得30
3秒前
果不欺然完成签到,获得积分10
3秒前
milk发布了新的文献求助10
5秒前
5秒前
耍酷青梦完成签到,获得积分10
6秒前
善良天抒发布了新的文献求助10
6秒前
6秒前
我一定能写完完成签到,获得积分10
6秒前
6秒前
顺心的念蕾完成签到,获得积分10
7秒前
foxp3发布了新的文献求助10
7秒前
wanci应助岩伴采纳,获得10
7秒前
7秒前
amazing39完成签到,获得积分10
8秒前
FashionBoy应助Jane采纳,获得10
8秒前
Owen应助勤恳的念真采纳,获得10
9秒前
9秒前
李狗蛋发布了新的文献求助10
9秒前
Matt发布了新的文献求助10
10秒前
马吉克发布了新的文献求助10
10秒前
__应助LiuSD采纳,获得10
10秒前
忧郁的毛巾应助tang采纳,获得10
10秒前
10秒前
大模型应助昏睡的以南采纳,获得10
11秒前
酷波er应助欣喜的香菱采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 1100
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Proceedings of the Fourth International Congress of Nematology, 8-13 June 2002, Tenerife, Spain 500
Le genre Cuphophyllus (Donk) st. nov 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5939618
求助须知:如何正确求助?哪些是违规求助? 7050600
关于积分的说明 15879571
捐赠科研通 5069751
什么是DOI,文献DOI怎么找? 2726815
邀请新用户注册赠送积分活动 1685394
关于科研通互助平台的介绍 1612731