| Literature DB >> 33354717 |
Adam G Stewart1,2, Michael J Satlin3, Sanmarié Schlebusch1,4,5, Burcu Isler1, Brian M Forde6,7, David L Paterson1,2,7, Patrick N A Harris1,4,7.
Abstract
Despite the accepted dogma that antibiotic use is the largest contributor to antimicrobial resistance (AMR) and human microbiome disruption, our knowledge of specific antibiotic-microbiome effects remains basic. Detection of associations between new or old antimicrobials and specific AMR burden is patchy and heterogeneous. Various microbiome analysis tools are available to determine antibiotic effects on microbial communities in vivo. Microbiome analysis of treatment groups in antibiotic clinical trials, powered to measure clinically meaningful endpoints would greatly assist the antibiotic development pipeline and clinician antibiotic decision making.Entities:
Keywords: antibiotic resistance; clinical trials; microbiome
Mesh:
Substances:
Year: 2021 PMID: 33354717 DOI: 10.1093/cid/ciaa1877
Source DB: PubMed Journal: Clin Infect Dis ISSN: 1058-4838 Impact factor: 9.079