A multi-type branching model with varying environment for bacterial dynamics with postantibiotic effect

Journal of Theoretical Biology

Volumn 256, Issue 1, 2009, Pages 58-64

  Geli, Patricia ^a,b   Andersson, Mikael ^a,b   Svensson, Åke ^a   Andersson, Dan I ^c  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b SWEDISH INSTITUTE FOR INFECTIOUS DISEASE CONTROL   (Sweden)

^c UPPSALA UNIVERSITY   (Sweden)

Author keywords

Antibiotic resistance; Mathematical model; Penicillin binding proteins

Indexed keywords

ANTIBIOTIC AGENT; CEFOTAXIME;

ANTIBIOTICS; BACTERIUM; DOSE-RESPONSE RELATIONSHIP; GROWTH RESPONSE; INHIBITION; MODELING; OPTIMIZATION;

ARTICLE; BACTERIUM; ENVIRONMENT; ESCHERICHIA COLI; NONHUMAN; POSTANTIBIOTIC EFFECT; PRIORITY JOURNAL;

ANTI-BACTERIAL AGENTS; BACTERIA; BACTERIOLOGY; CEFOTAXIME; COMPUTER SIMULATION; ESCHERICHIA COLI; MICROBIAL SENSITIVITY TESTS; MODELS, BIOLOGICAL;

BACTERIA (MICROORGANISMS); ESCHERICHIA COLI;

EID: 56949101779     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2008.09.023     Document Type: Article

References (27)

1. Al-Hajjaj M.S., and Al-Khatim I.M. High rate of non-compliance with anti-tuberculosis treatment despite a retrieval system: a call for implementation of directly observed therapy in Saudi Arabia. Int. J. Tuberc. Lung Dis. 4 4 (2000) 345-349
2. Bundtzen R.W., Gerber A.U., Cohn D.L., and Craig W.A. Postantibiotic suppression of bacterial growth. Rev. Infect. Dis. 3 1 (1981) 28-37
3. Craig W.A., and Ebert S.C. Killing and regrowth of bacteria in vitro: a review. Scand. J. Infect. Dis. Suppl. 74 (1990) 63-70
4. Craig W.A., and Gudmundsson S. Antibiotics in Laboratory Medicine (1986), The Williams & Wilkins Co
5. Dahlgaard P. Introductory Statistics using R (2002), Springer, New York
6. den Hollander J.G., Fuursted K., Verbrugh H.A., and Mouton J.W. Duration and clinical relevance of postantibiotic effect in relation to the dosing interval. Antimicrob. Agents Chemother. 42 4 (1998) 749-754
7. Drusano G.L. Antimicrobial pharmacodynamics: critical interactions of 'bug and drug'. Nat. Rev. Microbiol. 2 4 (2004) 289-300
8. Ellis L.C., Benson C.A., Koenig G.I., and Trenholme G.M. Postantibiotic effect of clarithromycin alone and combined with ethambutol against mycobacterium avium complex. Antimicrob. Agents Chemother. 39 12 (1995) 2803-2806
9. Frimodt-Møller N. How predictive is pk/pd for antibacterial agents?. Int. J. Antimicrob. Agents 19 4 (2002) 333-339
10. Geli, P., 2008. Modeling the mechanism of postantibiotic effect, submitted for publication.
11. Haccou P., Jagers P., and Vatutin V. Branching Processes: Variation, Growth and Extinction of Populations (2005), University Press
12. Kimmel M., and Axelrod D.E. Branching Processes in Biology (2002), Springer, Berlin
13. Lorian V., Ernst J., and Amaral L. The post-antibiotic effect defined by bacterial morphology. J. Antimicrob. Chemother. 23 4 (1989) 485-491
14. Löwdin E., Odenholt I., Bengtsson S., and Cars O. Pharmacodynamic effects of sub-mics of benzylpenicillin against Streptococcus pyogenes in a newly developed in vitro kinetic model. Antimicrob. Agents Chemother. 40 11 (1996) 2478-2482
15. Mouton J.W., Dudley M.N., Cars O., Derendorf H., and Drusano G.L. Standardization of pharmacokinetic/pharmacodynamic (pk/pd) terminology for anti-infective drugs: an update. J. Antimicrob. Chemother. 55 5 (2005) 601-607. http://dx.doi.org/10.1093/jac/dki079 URL: 〈http://dx.doi.org/10.1093/jac/dki079〉
16. Nathwani D. Tigecycline: clinical evidence and formulary positioning. Int. J. Antimicrob. Agents 25 3 (2005) 185-192. http://dx.doi.org/10.1016/j.ijantimicag.2004.11.006 URL: 〈http://dx.doi.org/10.1016/j.ijantimicag.2004.11.006〉
17. Nicolau D.P. Predicting antibacterial response from pharmacodynamic and pharmacokinetic profiles. Infection 29 Suppl. 2 (2001) 11-15
18. Olofsson S.K., Geli P., Andersson D.I., and Cars O. Pharmacodynamic model to describe the concentration-dependent selection of cefotaxime-resistant Escherichia coli. Antimicrob. Agents Chemother. 49 12 (2005) 5081-5091
19. Richards F. A flexible growth function for empirical use. J. Exp. Bot. 10 (1959) 290-300
20. Schuck E.L., and Derendorf H. Pharmacokinetic/pharmacodynamic evaluation of anti-infective agents. Expert Rev. AntiInfect. Ther. 3 3 (2005) 361-373
21. Spratt B.G. Properties of the penicillin-binding proteins of Escherichia coli k12. Eur. J. Biochem. 72 2 (1977) 341-352
22. Sumita Y., Fukasawa M., and Okuda T. Affinities of sm-7338 for penicillin-binding proteins and its release from these proteins in Staphylococcus aureus. Antimicrob. Agents Chemother. 34 3 (1990) 484-486
23. Tuomanen E. Newly made enzymes determine ongoing cell wall synthesis and the antibacterial effects of cell wall synthesis inhibitors. J. Bacteriol. 167 2 (1986) 535-543
24. Vogelman B.S., and Craig W.A. Postantibiotic effects. J. Antimicrob. Chemother. 15 Suppl. A (1985) 37-46
25. Xue I.B., Davey P.G., and Phillips G. Variation in postantibiotic effect of clindamycin against clinical isolates of Staphylococcus aureus and implications for dosing of patients with osteomyelitis. Antimicrob. Agents Chemother. 40 6 (1996) 1403-1407
26. Yan S., Bohach G.A., and Stevens D.L. Persistent acylation of high-molecular-weight penicillin-binding proteins by penicillin induces the postantibiotic effect in Streptococcus pyogenes. J. Infect. Dis. 170 3 (1994) 609-614
27. Zhanel G.G., Lam A., Schweizer F., Thomson K., Walkty A., Rubinstein E., Gin A.S., Hoban D.J., Noreddin A.M., and Karlowsky J.A. Ceftobiprole: a review of a broad-spectrum and anti-mrsa cephalosporin. Am. J. Clin. Dermatol. 9 4 (2008) 245-254