A novel approach for assessing the susceptibility of Escherichia coli to antibiotics

Science China Life Sciences

Volumn 53, Issue 11, 2010, Pages 1346-1355

  Zhang, Huai Qiang ^a   Zhao, Yue ^a   He, Xiu Li ^a   Gao, Pei Ji ^a  

^a SHANDONG UNIVERSITY   (China)

Author keywords

antibiotic susceptibility testing; antimicrobial drug; Escherichia coli; recurrent coefficient

Indexed keywords

ANTIINFECTIVE AGENT;

AREA UNDER THE CURVE; ARTICLE; CULTURE TECHNIQUE; DRUG EFFECT; ESCHERICHIA COLI; EVALUATION; GROWTH, DEVELOPMENT AND AGING; METHODOLOGY; MICROBIOLOGICAL EXAMINATION; STANDARD;

ANTI-BACTERIAL AGENTS; AREA UNDER CURVE; CELL CULTURE TECHNIQUES; ESCHERICHIA COLI; MICROBIAL SENSITIVITY TESTS;

BACTERIA (MICROORGANISMS); ESCHERICHIA COLI;

EID: 78249238852     PISSN: 16747305     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11427-010-4087-0     Document Type: Article

References (52)

1. Wayne P A. Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; 1st informational supplement. CLSI document M100-S16CLSI, 2006, Available at: www. clsi. org.
2. European Committee for Antimicrobial Susceptibility Testing (EUCAST) of the European Society of Clinical Microbiology and Infectious Diseases (ESCMID). Determination of minimum inhibitory concentrations (MICs) of antibacterial agents by broth dilution. Clin. Microbiol. Infect. 9, ix-xv (2003). Available at: www. eucast. org.
3. Andrews J M. BSAC standardized disc susceptibility testing method (version 7). J Antimicrob Chemother, 2008, 62: 256-278.
4. Antimicrobial susceptibility testing. Ministry of Health of the People's Republic of China, 2006, Chapter 7.
5. Li J D, Weinstein A J, Yang M. Surveillance of bacterial resistance in China. Natl Med J China, 2001, 81: 8-16.
6. Turnidge J, Paterson D L. Setting and revising antibacterial susceptibility breakpoints. Clin Microbiol Rev, 2007, 20: 391-408.
7. Wiegand I, Hilpert K, Hancock R E, et al. Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances. Nat Protocols, 2008, 3: 163-175.
8. Gould I M. Towards a common susceptibility testing method? J Antimicrob Chemother, 2000, 45: 757-762.
9. Carrillo M, Gonzalez J M. A New Approach to Modeling Sigmoidal Curves. Technol Forecast Soc Change, 2002, 69: 233-241.
10. Henson M A. Dynamic modeling of microbial cell populations. Curr Opin Biotechnol, 2003, 14: 460-467.
11. Li RC. New pharmacodynamic parameters for antimicrobial agents. Int J Antimicrob Agents, 2000, 13: 229-235.
12. Lehtinen J, Järvinen S, Virta M, et al. Real-time monitoring of antimicrobial activity with the multiparameter microplate assay. J Microbiol Meth, 2006, 381-389.
13. Lavric V, Graham D W. Birth, growth and death as structuring operators in bacterial population dynamics. J Theor Biol, 2010, 264: 45-54.
14. Feng M G, Liu CL, Xu J H, et al. Modeling and biological implication of Time-Dose-Mortality data for the entomophthoralean fungus, Zoophthora anhuiensis, on the green peach aphid myzus persicae. J Invertebr Pathol, 1998, 72: 246-251.
15. Firsov A A, Zinner S H, Vostrov S N, et al. 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: 2848-2852.
16. Gustafsson I, Lowdin E, Odenholt I, et al. Pharmacokinetic and pharmacodynamic parameters for antimicrobial effects of cefotaxime and amoxicillin in an in vitro kinetic model. Antimicrob Agents Chemother, 2001, 45: 2436-2440.
17. Ramirez Santoyo R M, Moreno Sala A, Almanza Marquez Y. Avian Escherichia coli virulence factors associated with coli septicemia in broiler chickens. Rev Argent Microbiol, 2001, 33: 52-57.
18. Hu Z S, Fu J, Gao J. Discussion and development on Cui-Lawson's model of single-species population (in Chinese). J Biomath, 1990, 5: 94-101.
19. Liu Y Q, Zhang Y Z, Gao P J. Novel Concentration-Killing Curve method for estimation of bactericidal potency of antibiotics in an in vitro dynamic model. Antimicrob Agents Chemother, 2004, 48: 3884-3891.
20. Liu Y Q, Zhang Y Z, Gao P J, et al. A novel approach to estimate in vitro antibacterial potency of Chinese medicine using a concentration-killing curve method. Am J Chin Med, 2005, 33: 671-682.
21. Liu Y Q, Zhang H Q, Gao P J, et al. Effect of physiological heterogeneity of E. coli population on antibiotic susceptivity test. Sci China Ser C-Life Sci, 2007, 50: 808-813.
22. Zhang H Q, Liu Y Q, Gao P J. A novel approach for estimating growth phases and parameters of bacterial population in batch culture. Sci China Ser C-Life Sci, 2006, 49: 130-140.
23. Zhang H Q, LU L L, Gao P J, et al. Effect of the population heterogeneity on growth behavior and its estimation. Sci China Ser C-Life Sci, 2007, 50: 535-547.
24. Jin J L, Yang W Q, Gao P J, et al. Modification of the synchrony coefficient for mutation rate calculating in bacterial population (In Chinese). Microbiol, 2009, 36: 446-452.
25. Yang J K, Qi X L, Chen. L. Biomathcmatics Introduction (in Chinese). Beijing: Science press, 1982. 415-417.
26. Viswanath D. Random fibonacci sequences and the number. 1. 13198824.... Math Comp, 2000, 69: 1131-1155.
27. Embree M, Trefethen L N. Growth and decay of random Fibonacci sequences. R Soc Lond Proc Ser A, Math Phys Eng Sci, 1999, 455: 2471-2485.
28. Zhang H Q. Comparison of growth kinetics and physiological characteristics of E. coli CVCC249 under both batch and continuous culture. Dissertation for Doctoral Degree. Jinan: Shandong University, 2008.
29. Herigstad B, Hamilton M, Heersink J. How to optimize the drop plate method for enumerating bacteria. J Microbiol. Methods, 2001, 44: 121-129.
30. Malleter M F. Evaluation of growth by physical and chemical means. Methods Microbiol, 1969, 1: 521-566.
31. Li B, Zha H, Chiaromonte F. Contour regression: A general approach to dimension reduction. Ann Statist, 2005, 33: 1580-1616.
32. Harrington P B, Urbas A, Tandler P J. Two-dimensional correlation analysis. Chemom Intell Lab Syst, 2000, 50: 149-174.
33. Zhang H Q, Wang L S, Gao P J. Use of the contour approach for visualizing the dynamic behavior of intermediates during O-nitrophenyl-β-d-galactoside hydrolysis by β-galactosidase. Process Biochem, 2009, 44: 1374-1380.
34. Rescigno A. Area under the curve and bio-availability. Pharmacol Res, 2000, 42: 539-540.
35. Purves R D. Optimum numerical integration methods for estimation of area-under-the curve (AUC) and area under the-moment-curve (AUMC). J Pharmacok Biopharm, 1992, 20: 211-226.
36. Bronshtei I N, Semendyayev K A. Handbook of Mathematics, 4th ed. Springer-verlag: New York, 2004. 153-160.
37. Siu W Y, Arooz T, Poon R Y. Differential responses of proliferating versus quiescent cells to adriamycin. Exp Cell Res, 1999, 250: 131-141.
38. Chen Q, Stone P R, Chamley L W, et al. Antiphospholipid antibodies bind to activated but not resting endothelial cells: is an independent triggering event required to induce antiphospholipid antibody-mediated disease? Thromb Res, 2004, 114: 101-111.
39. Chernov N, Lesort C, Simanyi N. On the complexity of curve fitting algorithms. J Complexity, 2004, 20: 484-492.
40. Quinn G P, Keough M J. Experimental design and data analysis for biologists. Cambridge: Cambridge University Press, 2002.
41. Motulsky H, Christopoulos A. Fitting models to biological data using linear and nonlinear regression. Graph Pad software Inc, San Diego CA, 2003.
42. Jakobsen L, Sandvang D, Jensen V F, et al. Gentamicin susceptibility in Escherichia coli related to the genetic background: problems with breakpoints. Clin Microbiol Infect, 2007, 13: 830-832.
43. Bai H, Qi H, Liu Y Q, et al. Effect of Enrofloxacin on gene expression profiles of Escherichia coli. Acta Vet et Zoot Sin, 2009, 40: 1537-1544.
44. Esposito S, Mittelkötter U. Ceftriaxone prophylaxis in abdominal, cardiovascular, thoracic, orthopaedic, neurosurgical and general surgery: a review of practice 1996-2003. J Chemother, 2005, 17: 17-32.
45. Huang S D, Yao T J, Wen J H, et al. Selection of same antibiotic manufactured by different factories with MIC method. China Pharmaceuticals, 2007, 16: 21-23.
46. Liu H M, He L, Zhou KY. Research progress of methodology for Antibiotic susceptibility test. Sect Clin Biochem & Lab Med Foreign Med Sci. 2005, 26: 628-634.
47. Schulz J E, Sahm D F. Reliability of the E test for detection of ampicillin, vancomycin, and high-level aminoglycoside resistance in Enterococcus spp. JCM, 31: 3336-3339.
48. Smaill F. Antibiotic susceptibility and resistance testing: an overview. Can J Gastroenterol, 2000, 14: 871-875.
49. Wheat PF. History and development of antimicrobial susceptibility testing methodology. J Antimicrob Chemother, 2001, 48: 1-4.
50. Cotter G, Adley C C. Comparison and evaluation of antimicrobial susceptibility testing of enterococci performed in accordance with six national committee standardized disk diffusion procedures. JCM, 2001, 39: 3753-3756.
51. Minshew B H, Pollock H M, Schoenknecht F D F, et al. Emergence in a burn center of populations of bacteria resistant to gentamicin, tobramycin, and amikacin: Evidence for the need for changes in zone diameter interpretive standards. Antimicrob Agents Chemother, 1977, 12: 688-696.
52. May R M. Simple mathematical models with very complicated dynamics. Nature, 1976, 261: 459-467.