Predictive Potential of Pharmacokinetic-Pharmacodynamic Parameters in Evaluation of Doripenem and Levofloxacin Effects: A Study in an in vitro Dynamic Model with Pseudomonas aeruginosa
https://doi.org/10.37489/0235-2990-2026-71-5-6-25-33
EDN: XIDLDA
Abstract
Background. Antibiotics are classified into «time-dependent», «concentration-dependent», and «concentration-and-timedependent» based on the relationship of their effectiveness and pharmacokinetic-pharmacodynamic (PK/PD) parameters: T >МIC (time of the dosing interval during which the concentration of the antibiotic exceeds MIC), CMAX/MIC (ratio of maximal concentration to MIC), or AUC/MIC (the ratio of the area under the pharmacokinetic curve to MIC), is currently undergoing significant revision.
The aim of the study. Analysis of the relationships between the values of AUC/MIC and T >МIC and the effects of doripenem and levofloxacin against Pseudomonas aeruginosa in an in vitro dynamic model.
Materials and methods. Clinical isolates of P. aeruginosa 180 and P. aeruginosa 52 were exposed to doripenem or levofloxacin at different dosing regimens, including the therapeutic ones, in an in vitro dynamic model for 5 consecutive days. The antimicrobial effect was evaluated using the integral parameter AUBC; the relationship between the effect of each antibiotic and AUC/MIC or T>МIC was studied. The presence of a statistically significant dependence proves the ability of the parameter to predict the effect.
Results. The maximum antimicrobial effect of doripenem was observed in the setting that simulated the therapeutic dose of the antibiotic, while a comparable effect of levofloxacin was achievable under conditions simulating double therapeutic dose and only for one P. aeruginosa strain. The relationships «effect — AUC/MIC or T>МIC» were described by the Hill equation, in the case of doripenem with equally high r2, and in the case of levofloxacin, a reliable relationship was established only with the AUC/MIC parameter.
Conclusion. According to our results, the PK/PD parameter associated with the effect of levofloxacin is AUC/MIC, and in the case of doripenem, the parameters AUC/MIC and T>МIC correlated with its effect equally well. Therefore, AUC/MIC can be considered a universal PK/PD parameter applicable for predicting the effect of both concentration-and-time- and time-dependent antibiotics, since it takes into account both exposure indicators: time and concentration.
About the Authors
E. N. StrukovaRussian Federation
Elena N. Strukova — Ph. D. in Biology, Senior Researcher at the Laboratory of Pharmacokinetics and Pharmacodynamics
Moscow
M. V. Golikova
Russian Federation
Maria V. Golikova — Ph. D. in Biology, Senior Researcher, Head of the Laboratory of Pharmacokinetics and Pharmacodynamics
Moscow
K. N. Alieva
Russian Federation
Kamilla N. Alieva — Ph. D. in Biology, Researcher at the Laboratory of Pharmacokinetics and Pharmacodynamics
Moscow
References
1. De Oliveira DMP, Forde BM, Kidd TJ, Harris PNA, Schembri MA, Beatson SA et al. Antimicrobial Resistance in ESKAPE Pathogens. Clin Microbiol Rev. 2020; 33 (3): e00181-19. doi: 10.1128/CMR.00181-19.
2. Pachori P, Gothalwal R, Gandhi P. Emergence of antibiotic resistance Pseudomonas aeruginosa in intensive care unit; a critical review. Genes Dis. 2019; 6 (2): 109–119. doi: 10.1016/j.gendis.2019.04.001.
3. Tam VH, Schilling AN, Poole K, Nikolaou M. Mathematical modelling response of Pseudomonas aeruginosa to meropenem. J Antimicrob Chemother. 2007; 60 (6): 1302–9. doi: 10.1093/jac/dkm370.
4. Dzhekobs M. Novye podkhody k optimizatsii antimikrobnoj terapii infektsij dykhatelʹnykh putej s ispolʹzovaniem farmakokineticheskikh/farmakodinamicheskikh parametrov. Klinicheskaya Mikrobiologiya i Antimikrobnaya Khimioterapiya. 2004; 6 (1): 22–31. (In Russ.). Dostupno po adresu: Ssylka aktivna na 10 aprelya 2026 g.) https://cmacjournal.ru/publication/2004/1/cmac-2004-t06-n1-p022/. New Approaches to the Optimization of Antimicrobial Therapy of Respiratory Tract Infections Using Pharmacokinetic and Pharmacodynamic Parameters. Clinical Microbiology and Antimicrobial Chemotherapy. 2004; 6(1):22-31[In Russian]. Available at: https://cmac-journal.ru/publication/2004/1/cmac-2004-t06-n1-p022/. Accessed April 10, 2026.
5. Tsai D, Lipman J, Roberts JA. Pharmacokinetic/pharmacodynamic considerations for the optimization of antimicrobial delivery in the critically ill. Curr Opin Crit Care. 2015; 21 (5): 412–420. doi: 10.1097/MCC.0000000000000229.
6. Owens RC Jr, Shorr AF. Rational dosing of antimicrobial agents: pharmacokinetic and pharmacodynamic strategies. Am J Health Syst Pharm. 2009 Jun 15; 66 (12 Suppl 4): S23–30. doi: 10.2146/090087d.
7. Shah S, Barton G, Fischer A. Pharmacokinetic considerations and dosing strategies of antibiotics in the critically ill patient. J Intensive Care Soc. 2015; 16 (2): 147–153. doi: 10.1177/1751143714564816.
8. Vogelman B, Craig W. Kinetics of antimicrobial activity. J Pediatr. 1986; (108): 835–40. doi: 10.1016/s0022-3476(86)80754-5.
9. Craig WA. Pharmacokinetic/pharmacodynamic parameters: rationale for antimicrobial dosing of mice and men. Clin Infect Dis. 1998; 26 (1): 1–10. doi: 10.1086/516284.
10. Jacobs MR. How can we predict bacterial eradication? Int J Infect Dis. 2003; 7 Suppl 1: S13–20. doi: 10.1016/s1201-9712(03)90066-x.
11. Hayashi Y, Takahashi M, Sasaki M, Suzuki K, Mizukami Y, Liu X, et al. Establishment and validation of downsized hollow-fibre infection model and pharmacokinetics/pharmacodynamics analysis of VAN on Enterococcus faecium. J Antimicrob Chemother. 2025; 80 (8): 2092–2099. doi: 10.1093/jac/dkaf175.
12. Liu X, Tashiro S,Igarashi Y, Takemura W, Kojima N, Morita T, Hayashi M, Enoki Y, Taguchi K, Matsumoto K. Differences in pharmacokinetic/pharmacodynamic parameters of tedizolid against VRE and MRSA. Pharm Res. 2023; 40 (1): 187–196. doi: 10.1007/s11095-022-03425-5.
13. Weiss WJ, Pulse M, Renick P, et al. Efficacy of fluorocyclines TP-434 in the neutropenic thigh infection model is predicted by AUC/MIC [abstract No. F1-2164 plus poster]. 50th Annual interscience conference on antimicrobial agents and chemotherapy; 12–15 Sep 2010; Boston.
14. Nakamura R, Ito-Horiyama T, Takemura M, Toba S, Matsumoto S, Ikehara T, et al. In vivo pharmacodynamic study of cefiderocol, a novel parenteral siderophore cephalosporin, in murine thigh and lung infection models. Antimicrob Agents Chemother. 2019; 63 (9): e02031– 18. doi: 10.1128/AAC.02031-18.
15. Zhang L, Wu X, Huang Z, Zhang N, Wu Y, Cai Q, Shen X, Ding H. Pharmacokinetic/pharmacodynamic assessment of cefquinome against Actinobacillus peuropneumoniae in a piglet tissue cage infection model. Vet Microbiol. 2018; 219: 100–106. doi: 10.1016/j.vetmic. 2018.02.027.
16. Zhao M, Lepak AJ, Marchillo K, VanHecker J, Andes DR. In vivo pharmacodynamic characterization of a novel odilorhabdin antibiotic, NOSO-502, against Escherichia coli and Klebsiella pneumoniae in a murine thigh infection model. Antimicrob Agents Chemother. 2018; 62 (9): e01067–18. doi: 10.1128/AAC.01067-18.
17. Igarashi Y, Kojima N, Takemura W, Liu X, Morita T, Mizukami Y, Enoki Y, Taguchi K, Yokoyama Y, Nakamura T, Matsumoto K. In vivo pharmacokinetics/pharmacodynamics profiles for appropriate doses of Cefditoren pivoxil against S. pneumoniae in murine lung-infection model. Pharm Res. 2023; 40 (7): 1789–1797. doi: 10.1007/s11095-023-03539-4.
18. The national standard of the Russian Federation GOST R ISO 20776-1-2022. Investigation of the susceptibility of infectious agents, and evaluation of the functional characteristics of products for the study of susceptibility to antimicrobial agents. Part 1. A reference method of micro-dilutions in broth for laboratory studies of the activity of antimicrobial agents in relation to fast-growing aerobic bacteria that cause infectious diseases. (In Russ.)]. Available at: https://rosgosts.ru/file/gost/11/100/gost_r_iso_20776-1-2022.pdf. Accessed April 10, 2026. Russian.
19. Cirillo I, Vaccaro N, Turner K, Solanki B, Natarajan J, Redman R.J. Pharmacokinetics, safety, and tolerability of doripenem after 0.5-, 1-, and 4-hour infusions in healthy volunteers. J Clin Pharmacol. 2009; 49 (7): 798–806. doi: 10.1177/0091270009337012.
20. Fish DN, Chow AT. The clinical pharmacokinetics of levofloxacin. Clin Pharmacokinet. 1997; 32 (2): 101–119. doi: 10.2165/00003088-199732020-00002.
21. Blaser J, Stone BB, Zinner SH. Two compartment kinetic model with multiple artificial capillary units. J Antimicrob Chemother. 1985, 15, 131–137. doi: 10.1093/jac/15.suppl_a.131.
22. Golikova MV, Strukova EN, Alieva KN, Filimonova AV, Portnoy YA, Firsov AA. Anti-mutant efficacy of combination therapy with doripenem and levofloxacin: in vitro model studies with Pseudomonas aeruginosa. Antibiot Khimioter = Antibiotics and Chemotherapy. 2021; 66 (3–4): 12–17. (In Russ.). doi: https://doi.org/10.37489/0235-2990-2021-66-3-4-12-17.
23. Firsov AA, Vostrov SN, Shevchenko AA, Cornaglia G. Parameters of bacterial killing and regrowth kinetics and antimicrobial effect examined in terms of area under the concentration-time curve relationships: action of ciprofloxacin against Escherichia coli in an in vitro dynamic model. Antimicrob Agents Chemother. 1997; 41 (6): 1281–7. doi: 10.1128/AAC.41.6.1281.
24. Andes D, Craig WA. In vivo activities of amoxicillin and amoxicillinclavulanate against Streptococcus pneumoniae: application to breakpoint determinations. Antimicrob. Agents Chemother. 1998; 42 (9): 2375–2379. doi: 10.1128/AAC.42.9.2375.
25. Miyazaki S., Okazaki K, Tsuji M, Yamaguchi K. Pharmacodynamics of S-3578, a novel cephem, in murine lung and systemic infection models. Antimicrob Agents Chemother. 2004; 48 (2): 378–383. doi:10.1128/AAC.48.2.378-383.2004.
26. Vogelman B, Gudmundsson S,Leggett J, Turnidge J, Ebert S, Craig WA. Correlation of antimicrobial pharmacokinetic parameters with therapeutic efficacy in an animal model. J Infect Dis. 1988; 158 (4): 831–47. doi:10.1093/infdis/158.4.831.
27. Soriano F, García-Corbeira P, Ponte C, Fernández-Roblas R, Gadea I. Correlation of pharmacodynamic parameters of five beta-lactam antibiotics with therapeutic efficacies in an animal model. Antimicrob Agents Chemother. 1996; 40 (12): 2686–90. doi: 10.1128/AAC.40.12.2686.
28. Strukova EN, Portnoy YA, Golikova MV, Zinner SH. In vitro dynamic model evaluation of meropenem alone and in combination with avibactam against carbapenemase-producing Klebsiella pneumoniae. Pharmaceuticals (Basel). 2024; 17 (12):1683. doi: 10.3390/ph17121683.
29. Schentag JJ, Strenkoski-Nix LC, Nix DE, Forrest A. Pharmacodynamic interactions of antibiotics alone and in combination. Clin Infect Dis. 1998; 27 (1): 40–46. doi: 10.1086/514621.
30. Hengzhuang W, Wu H, Ciofu O, Song Z, Høiby N. In vivo pharmacokinetics/pharmacodynamics of colistin and imipenem in Pseudomonas aeruginosa biofilm infection. Antimicrob Agents Chemother. 2012; 56 (5): 2683–90. doi: 10.1128/AAC.06486-11.
31. Zhang L, Wu X, Huang Z, Zhang N, Wu Y, Cai Q et al. Pharmacokinetic/pharmacodynamic assessment of cefquinome against Actinobacillus pleuropneumoniae in a piglet tissue cage infection model. Vet Microbiol. 2018 Jun; 219: 100–106. doi: 10.1016/j.vetmic.2018.02.027.
32. Firsov AA, Vostrov SN, Shevchenko AA, Zinner SH, Cornaglia G, Portnoy YA. MIC-based interspecies prediction of the antimicrobial effects of ciprofloxacin on bacteria of different susceptibilities in an in vitro dynamic model. Antimicrob Agents Chemother. 1998; 42 (11): 2848–52. doi: 10.1128/AAC.42.11.2848.
33. Firsov AA, Shevchenko AA, Vostrov SN, Zinner SH. Inter- and intraquinolone predictors of antimicrobial effect in an in vitro dynamic model: new insight into a widely used concept. Antimicrob. Agents Chemother. 1998; 42: 657–665. doi:10.1128/AAC.42.3.659.
34. Drusano GL, Johnson DE, Rosen M, et al. Pharmacodynamics of a fluoroquinolone antimicrobial agent in a neutropenic rat model of Pseudomonas sepsis. Antimicrob Agents Chemother 1993; 37: 483–490. doi:10.1128/AAC.37.3.483.
35. Safdar N, Andes D, Craig WA. In vivo pharmacodynamic activity of daptomycin. Antimicrob Agents Chemother. 2004; 48 (1): 63–68. doi: 10.1128/AAC.48.1.63-68.2004.
36. Frimodt-Møller N. Correlation between pharmacokinetic/pharmacodynamic parameters and efficacy for antibiotics in the treatment of urinary tract infection. Int J Antimicrob Agents. 2002 Jun; 19 (6): 546–553. doi: 10.1016/s0924-8579(02)00105-x.
37. Andes DR, Craig WA. Pharmacodynamics of fluoroquinolones in experimental models of endocarditis. Clin Infect Dis. 1998; 27: 47–50. doi:10.1086/514624.
38. Forrest A, Nix DE, Ballow CH, Goss TF, Birmingham MC, Schentag JJ. Pharmacodynamics of intravenous ciprofloxacin in seriously ill patients. Antimicrob Agents Chemother. 1993; 37: 1073–1081. doi: 10.1128/AAC.37.5.1073.
Review
For citations:
Strukova EN, Golikova MV, Alieva KN. Predictive Potential of Pharmacokinetic-Pharmacodynamic Parameters in Evaluation of Doripenem and Levofloxacin Effects: A Study in an in vitro Dynamic Model with Pseudomonas aeruginosa. Antibiotiki i Khimioterapiya = Antibiotics and Chemotherapy. 2026;71(5-6):25-33. (In Russ.) https://doi.org/10.37489/0235-2990-2026-71-5-6-25-33. EDN: XIDLDA
JATS XML
















































