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Golikova MV, Strukova EN, Portnoy YA, Zinner SH, Firsov AA. MPC-Based Prediction of Anti-Mutant Effectiveness of Antibiotic Combinations: In Vitro Model Study with Daptomycin and Gentamicin against Staphylococcus aureus. Antibiotics (Basel) 2021; 10:antibiotics10101148. [PMID: 34680729 PMCID: PMC8532831 DOI: 10.3390/antibiotics10101148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/17/2021] [Accepted: 09/19/2021] [Indexed: 01/04/2023] Open
Abstract
To explore whether combined treatments with daptomycin and gentamicin can prevent the development of Staphylococcus aureus resistance, and whether the possible restriction is associated with changes in antibiotic mutant prevention concentrations (MPCs), the enrichment of daptomycin- and gentamicin-resistant mutants was studied by simulating 5-day single and combined treatments in an in vitro dynamic model. The MPCs of the antibiotics in the combination were determined at concentration ratios equal to the ratios of 24 h areas, under the concentration–time curve (AUCs) of the antibiotics, as simulated in pharmacodynamic experiments. The MPCs of both daptomycin and gentamicin decreased in the presence of each other; this led to an increase in the time when antibiotic concentrations were above the MPC (T>MPC). The increases in T>MPCs were concurrent with increases of the anti-mutant effects of the combined antibiotics. When anti-mutant effects of the antibiotics in single and combined treatments were plotted against the T>MPCs, significant sigmoid relationships were obtained. These findings suggest that (1) daptomycin–gentamicin combinations prevent the development of S. aureus resistance to each antibiotic; (2) the anti-mutant effects of antibiotic combinations can be predicted using MPCs determined at pharmacokinetic-based antibiotic concentration ratios; (3) T>MPC is a reliable predictor of the anti-mutant efficacy of antibiotic combinations.
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Affiliation(s)
- Maria V. Golikova
- Department of Pharmacokinetics & Pharmacodynamics, Gause Institute of New Antibiotics, 11 Bolshaya Pirogovskaya Street, 119021 Moscow, Russia; (E.N.S.); (Y.A.P.); (A.A.F.)
- Correspondence: ; Tel.: +7-926-7077198
| | - Elena N. Strukova
- Department of Pharmacokinetics & Pharmacodynamics, Gause Institute of New Antibiotics, 11 Bolshaya Pirogovskaya Street, 119021 Moscow, Russia; (E.N.S.); (Y.A.P.); (A.A.F.)
| | - Yury A. Portnoy
- Department of Pharmacokinetics & Pharmacodynamics, Gause Institute of New Antibiotics, 11 Bolshaya Pirogovskaya Street, 119021 Moscow, Russia; (E.N.S.); (Y.A.P.); (A.A.F.)
| | - Stephen H. Zinner
- Department of Medicine, Mount Auburn Hospital, Harvard Medical School, 330 Mount Auburn St., Cambridge, MA 02138, USA;
| | - Alexander A. Firsov
- Department of Pharmacokinetics & Pharmacodynamics, Gause Institute of New Antibiotics, 11 Bolshaya Pirogovskaya Street, 119021 Moscow, Russia; (E.N.S.); (Y.A.P.); (A.A.F.)
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Weber RE, Fuchs S, Layer F, Sommer A, Bender JK, Thürmer A, Werner G, Strommenger B. Genome-Wide Association Studies for the Detection of Genetic Variants Associated With Daptomycin and Ceftaroline Resistance in Staphylococcus aureus. Front Microbiol 2021; 12:639660. [PMID: 33658988 PMCID: PMC7917082 DOI: 10.3389/fmicb.2021.639660] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 01/22/2021] [Indexed: 12/29/2022] Open
Abstract
Background As next generation sequencing (NGS) technologies have experienced a rapid development over the last decade, the investigation of the bacterial genetic architecture reveals a high potential to dissect causal loci of antibiotic resistance phenotypes. Although genome-wide association studies (GWAS) have been successfully applied for investigating the basis of resistance traits, complex resistance phenotypes have been omitted so far. For S. aureus this especially refers to antibiotics of last resort like daptomycin and ceftaroline. Therefore, we aimed to perform GWAS for the identification of genetic variants associated with DAP and CPT resistance in clinical S. aureus isolates. Materials/methods To conduct microbial GWAS, we selected cases and controls according to their clonal background, date of isolation, and geographical origin. Association testing was performed with PLINK and SEER analysis. By using in silico analysis, we also searched for rare genetic variants in candidate loci that have previously been described to be involved in the development of corresponding resistance phenotypes. Results GWAS revealed MprF P314L and L826F to be significantly associated with DAP resistance. These mutations were found to be homogenously distributed among clonal lineages suggesting convergent evolution. Additionally, rare and yet undescribed single nucleotide polymorphisms could be identified within mprF and putative candidate genes. Finally, we could show that each DAP resistant isolate exhibited at least one amino acid substitution within the open reading frame of mprF. Due to the presence of strong population stratification, no genetic variants could be associated with CPT resistance. However, the investigation of the staphylococcal cassette chromosome mec (SCCmec) revealed various mecA SNPs to be putatively linked with CPT resistance. Additionally, some CPT resistant isolates revealed no mecA mutations, supporting the hypothesis that further and still unknown resistance determinants are crucial for the development of CPT resistance in S. aureus. Conclusion We hereby confirmed the potential of GWAS to identify genetic variants that are associated with antibiotic resistance traits in S. aureus. However, precautions need to be taken to prevent the detection of spurious associations. In addition, the implementation of different approaches is still essential to detect multiple forms of variations and mutations that occur with a low frequency.
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Affiliation(s)
- Robert E Weber
- Department of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.,Methodology and Research Infrastructure, Genome Sequencing, Robert Koch-Institute, Berlin, Germany
| | - Stephan Fuchs
- Methodology and Research Infrastructure, Bioinformatics, Robert Koch-Institute, Berlin, Germany
| | - Franziska Layer
- Department of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.,Methodology and Research Infrastructure, Genome Sequencing, Robert Koch-Institute, Berlin, Germany
| | - Anna Sommer
- Department of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.,Methodology and Research Infrastructure, Genome Sequencing, Robert Koch-Institute, Berlin, Germany
| | - Jennifer K Bender
- Department of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.,Methodology and Research Infrastructure, Genome Sequencing, Robert Koch-Institute, Berlin, Germany
| | - Andrea Thürmer
- Methodology and Research Infrastructure, Bioinformatics, Robert Koch-Institute, Berlin, Germany
| | - Guido Werner
- Department of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.,Methodology and Research Infrastructure, Genome Sequencing, Robert Koch-Institute, Berlin, Germany
| | - Birgit Strommenger
- Department of Infectious Diseases, Robert Koch-Institute, Wernigerode, Germany.,Methodology and Research Infrastructure, Genome Sequencing, Robert Koch-Institute, Berlin, Germany
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Levin BR, Baquero F, Ankomah PP, McCall IC. Phagocytes, Antibiotics, and Self-Limiting Bacterial Infections. Trends Microbiol 2017; 25:878-892. [PMID: 28843668 DOI: 10.1016/j.tim.2017.07.005] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/21/2017] [Accepted: 07/21/2017] [Indexed: 12/16/2022]
Abstract
Most antibiotic use in humans is to reduce the magnitude and term of morbidity of acute, community-acquired infections in immune competent patients, rather than to save lives. Thanks to phagocytic leucocytes and other host defenses, the vast majority of these infections are self-limiting. Nevertheless, there has been a negligible amount of consideration of the contribution of phagocytosis and other host defenses in the research for, and the design of, antibiotic treatment regimens, which hyper-emphasizes antibiotics as if they were the sole mechanism responsible for the clearance of infections. Here, we critically review this approach and its limitations. With the aid of a heuristic mathematical model, we postulate that if the rate of phagocytosis is great enough, for acute, normally self-limiting infections, then (i) antibiotics with different pharmacodynamic properties would be similarly effective, (ii) low doses of antibiotics can be as effective as high doses, and (iii) neither phenotypic nor inherited antibiotic resistance generated during therapy are likely to lead to treatment failure.
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Affiliation(s)
- Bruce R Levin
- Department of Biology, Emory University, Atlanta, GA, USA; Co-first authors.
| | - Fernando Baquero
- Ramón y Cajal Institute for Health Research (IRYCIS), Ramón y Cajal University Hospital, CIBERESP, Madrid, Spain; Co-first authors
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