Suppr超能文献

多药耐药革兰氏阴性菌的抗生素研发管线:我们能期待什么?

The antibiotic pipeline for multi-drug resistant gram negative bacteria: what can we expect?

机构信息

a Alfa Institute of Biomedical Sciences , Athens , Greece.

b Department of Internal Medicine - Infectious Diseases, Iaso General Hospital , Iaso Group , Athens , Greece.

出版信息

Expert Rev Anti Infect Ther. 2016 Aug;14(8):747-63. doi: 10.1080/14787210.2016.1204911.

Abstract

INTRODUCTION

A real concern in the medical community is the increasing resistance of bacteria, especially that of Gram-negative types. New antibiotics are currently under clinical development, promising to tackle severe infections caused, especially, by multi-drug resistant (MDR) bacteria and broaden the armamentarium of clinicians.

AREAS COVERED

We searched PUBMED and GOOGLE databases. Combinations of already approved β-lactams or monobactams with new β-lactamase inhibitors [imipenem-cilastatin/MK-7655 (relebactam), meropenem/RPX7009 (vaborbactam), ceftaroline/avibactam, aztreonam/avibactam], new β-lactams (S-649266, BAL30072), aminoglycosides (plazomicin), quinolones (finafloxacin) and tetracyclines (eravacycline) were included in the review. Expert commentary: For the majority of the upcoming antibiotics the currently available data is limited to their microbiology and pharmacokinetics. Their effectiveness and safety against infections due to MDR bacteria remain to be proved. Significant issues are also the impact of these antibiotics on the human intestinal microbiota and their possible co-administration with already-known antimicrobial agents in difficult-to-treat-infections; further studies should be conducted for these objectives.

摘要

简介

医学界真正关注的问题是细菌耐药性的不断增加,尤其是革兰氏阴性菌。目前正在临床开发新的抗生素,有望解决由多药耐药(MDR)细菌引起的严重感染,并扩大临床医生的治疗手段。

涵盖领域

我们检索了 PUBMED 和 GOOGLE 数据库。已批准的β-内酰胺类或单环酰胺类与新的β-内酰胺酶抑制剂[亚胺培南-西司他丁/ MK-7655(雷巴他定)、美罗培南/RPX7009(沃博巴坦)、头孢洛林/阿维巴坦、氨曲南/阿维巴坦]、新型β-内酰胺类药物(S-649266、BAL30072)、氨基糖苷类(普拉佐米星)、喹诺酮类(非那沙星)和四环素类(依拉环素)被纳入综述。

专家评论

对于大多数即将上市的抗生素,目前可用的数据仅限于其微生物学和药代动力学。它们对 MDR 细菌感染的有效性和安全性仍有待证实。这些抗生素对人类肠道微生物群的影响以及它们在治疗困难感染时与已知抗菌药物的可能联合使用也是一个重大问题;应针对这些目标进行进一步研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验