| Title |
Prevention of High-Level Daptomycin-Resistance Emergence In Vitro in Streptococcus mitis-oralis by Using Combination Antimicrobial Strategies
|
|---|---|
| Published in |
Current Microbiology, April 2018
|
| DOI | 10.1007/s00284-018-1491-3 |
| Pubmed ID | |
| Authors |
Brianne Zapata, Danya N. Alvarez, Sabrina Farah, Cristina Garcia-de-la-Maria, Jose M. Miro, George Sakoulas, Arnold S. Bayer, Nagendra N. Mishra |
| Abstract |
Among the viridans group streptococci, S. mitis-oralis strains are frequently resistant to multiple β-lactams and tolerant to vancomycin (VAN). This scenario has led to the proposed clinical use of newer agents, like daptomycin (DAP) for such S. mitis-oralis strains. However, recent recognition of the rapid and durable emergence of high-level DAP-resistance (DAP-R; DAP MICs > 256 µg/ml) induced by DAP exposures in vitro and in vivo has dampened enthusiasm for such approaches. In this study, we evaluated a broad range of DAP combination regimens in vitro for their capacity to prevent emergence of high-level DAP-R in a prototype S. mitis-oralis strain (351) during serial passage experiments, including DAP + either gentamicin (GEN), rifampin (RIF), trimethoprim-sulfamethoxazole (TMP-SMX), imipenem (IMP), ceftaroline (CPT), tedizolid (TDZ), or linezolid (LDZ). In addition, we assessed selected DAP combination regimens for their ability to exert either an early bactericidal impact and/or synergistically kill the S. mitis-oralis study strain. During serial passage, three of the eight antibiotic combinations (DAP + GEN, CPT, or TMP- SMX) exhibited significantly reduced DAP MICs (≈ by 8-40 fold) vs serial exposure in DAP alone (DAP MICs > 256 µg/ml). In addition, combinations of DAP + GEN and DAP + CPT were both bactericidal and synergistic in early time-kill curve interactions. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Researcher | 3 | 15% |
| Student > Ph. D. Student | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 20% |
| Medicine and Dentistry | 4 | 20% |
| Immunology and Microbiology | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unknown | 8 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2018.
All research outputs
#17,945,904
of 23,043,346 outputs
Outputs from Current Microbiology
#1,585
of 2,429 outputs
Outputs of similar age
#238,956
of 329,221 outputs
Outputs of similar age from Current Microbiology
#21
of 39 outputs
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