Accurate assessment of antibiotic susceptibility and screening resistant strains of a bacterial population by linear gradient plate

Science China Life Sciences

Volumn 54, Issue 10, 2011, Pages 953-960

  Liu, Yu Qing ^a   Li, Jing Ran ^a,c   Du, Jia Fa ^a   Hu, Ming ^a   Bai, Hua ^a   Qi, Jing ^a   Gao, Chao ^a,c   Wei, Tian Tian ^a,c   Su, Hong ^a   Jin, Jian Ling ^b   Gao, Pei Ji ^b  

^a SHANDONG PEANUT RESEARCH INSTITUTE   (China)

^b SHANDONG UNIVERSITY   (China)

^c QINGDAO AGRICULTURAL UNIVERSITY   (China)

Author keywords

E. col; enrofloxacin; linear gradient plate; MIC; resistant strain

Indexed keywords

ANTIINFECTIVE AGENT; ENROFLOXACIN; PRIMER DNA; QUINOLONE DERIVATIVE;

ARTICLE; BACTERIAL COUNT; DRUG EFFECT; ESCHERICHIA COLI; MICROBIOLOGICAL EXAMINATION; NUCLEOTIDE SEQUENCE; POLYMERASE CHAIN REACTION; STANDARD;

ANTI-BACTERIAL AGENTS; BASE SEQUENCE; COLONY COUNT, MICROBIAL; DNA PRIMERS; ESCHERICHIA COLI; FLUOROQUINOLONES; MICROBIAL SENSITIVITY TESTS; POLYMERASE CHAIN REACTION;

BACTERIA (MICROORGANISMS);

EID: 80155150307     PISSN: 16747305     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11427-011-4230-6     Document Type: Article

References (39)

1. Wheat P F. History and development of antimicrobial susceptibility testing methodology. J Antimicrob Chemother, 2001, 48: 1-4.
2. Bauer A W, Kirby W M, Sherris J C, et al. Antibiotic susceptibility testing by a standardized single disk method. Am J Clin Pathol, 1966, 45: 493-496.
3. CLSI. Performance Standards for Antimicrobial Susceptibility Testing. Twentieth. Informational Supplement. CLSI Document M100-S20. Wayne: Clinical and Laboratory Standard Institute, 2010.
4. World Health Organization. Standardization of Methods for Conducting Microbiology Sensitivity Tests. Second Report of the Expert Committee on Antibiotics. WHO Technical Report Series, No. 210. WHO, Geneva, 1961.
5. Gould I M. Towards a common susceptibility testing method? J Antimicrob Chemother, 2000, 45: 757-762.
6. Yang Q W, Wang H, Xu Y C, et al. Introduction current situation and research of antimicrobial resistance surveillance in teaching hospitals of China. Chin J Clin Pharm, 2008, 24: 570-573.
7. Xiao Y H. Introduction of Mohnarin (Ministry of Health National Antimicrobial Resistance Investigation Net. Chin J Antibiotics, 2008, 33: 577-588.
8. Taubes G. The Bacteria fight back. Science, 2008, 18: 356-361.
9. Richard G W, Lewis K, Salyers A A, et al. Bacterial Resistance to Antimicrobials. 2nd ed. Boca Raton: CRC Press, 2007.
10. Zhu X L, Qi J, Bai H, et al. Multi-drug resistance and hereditability of Escherichia coli isolated from animals in Shandong. Chin J Health Labor Tech, 2009, 19: 1473-1476.
11. Bryson V, Szybalski W. Microbial selection. Science, 1952, 116: 45-51.
12. Shimkets L J, Dworkin M, Keller K H. A method for establishing stable concentration gradients in agar suitable for studying chemotaxis on a solid surface. Can J Microbiol, 1979, 25: 1460-1467.
13. Zhang J E, Zhu J P, Liu Y X, et al. Screening of high gibberellin-producing strain from chloramphenicol resistant mutants. Chin J Antibiotics, 2005, 30: 301-303.
14. Chen S Y, Deng Z X. Development of transformation system for Strepomyces hygroscopicus var Jingganshan JG5008. Chin J Appl Environ Biol, 2000, 6: 267-270.
15. Nelson P (author), Li M, Dai L R (translation). Biological Physics: Energy, Information and Life. Shanghai: Shanghai Science and Technology Press, 2006. 116-118.
16. 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.
17. Wang S J, Shen X Z, Zong J. Spectrofluormetric determination of norfloxacin. Chin Medi Pharm, 1993, 24: 411-413.
18. Bagel S, Hullen V, Wiedemann B, et al. Impact of gyrA and parC mutations on quinolone resistance, doubling time, and supercoiling degree of Escherichia coli. Antimicrob Agents Chemother, 1999, 43: 868-875.
19. Liu Y Q, Zhang H Q, Hu M, et al. The methodological limitation of antibiotic susceptibility test and its improvement. J Shandong University (Health Science), 2011, 49: 124-132.
20. Brown D F. Determination of MICs by the E test. J Antimicrob Chemother, 1992, 29: 455.
21. Hill G B, Schalkowsky S. Development and evaluation of the spiral gradient endpoint method for susceptibility testing of anaerobic gram-negative bacilli. Rev Infect Dis, 1990, 12: S200-S209.
22. Cooper K E. Theory of antibiotic inhibition zones in agar media. Nature, 1995, 175: 510-511.
23. Finn R K. Theory of agar diffusion methods for bioassay. Anal Chem, 1959, 31: 975-977.
24. Awerbuch T E, Lustman L. A mathematical model for determining minimum inhibitory concentration (MIC) via diffusion assay. J Theory Biol, 1987, 129: 219-230.
25. Ringertz S, Kronvall G. On the theory of the disk diffusion test. APMIS, 1988, 96: 484-490.
26. Drugeon H B, Juvin M E, Caillon J, et al. Assessment of formulas for calculating critical concentration by the agar diffusion method. Antimicrob Agents Chemother, 1987, 31: 870-875.
27. Anderson B. Improved susceptibility disk assay method employing an agar overlay technique. Antimicrob Agents Chemother, 1978, 14: 761-764.
28. Bonev B, Hooper J, Parisot J. Principles of assessing bacterial susceptibility to antibiotics using the agar diffusion method. J Antimicrob Chemother, 2008, 61: 1295-1301.
29. Andrews J M. The development of the BASA standardized method of disk diffusion testing. Antimicrob Agent Chemoth, 2001, 48: 29-42.
30. Turnidge J, Paterson D L. Setting and revising antibacterial susceptibility breakpoints. Clin Microbiol Rev, 2007, 20: 391-408.
31. Chen X S. Disk susceptibility test-the limitation and some additional method. Chin J Clin Lab Sci, 1994, 12: 2-5.
32. Jorgensen J H, Crawford S A, Fulcher L C, et al. Multilaboratory evaluation of disk diffusion antimicrobial susceptibility testing of Neisseria meningitidis isolates. J Clin Microb, 2006, 44: 1744-1754.
33. Zhao X, Drlica K. Restricting the selection of antibiotic-resistant mutants: measurement and potential uses of the mutant selection window. J Infect Dis, 2002, 185: 561-565.
34. Zhang H Q, Liu Y Q, Liu B, et al. A novel approach for estimating growth phase and parameters of bacterial population in batch culture. Sci China Ser C-Life Sci, 2006, 49: 130-140.
35. Liu Y Q, Zhang H Q, Shen J Z, et al. Effect of physiological heterogeneity of E. coli population on antibiotic susceptibility test. Sci China Ser C-Life Sci, 2007, 50: 808-813.
36. Zhang H Q, Zhao Y, He X L, et al. A novel approach for assessing the susceptibility of Escherichia coli to antibiotics. Sci China Life Sci, 2010, 53: 1346-1355.
37. Cooper K E, Linton A H, Sehgal S N. The effect of inoculum size on inhibition zones in agar media using staphylococci and streptomycin. J Gen Microbiol, 1958, 18: 670-687.
38. Firsov A A, Vostrov S N, Kononenko O V, et al. Prediction of the effects of inoculum size on the antimicrobial action of trovafloxacin and ciprofloxacin against Staphylococcus aureus and Escherichia coli in an in vitro dynamic model. Antimicrob Agents Chemoth, 1999, 43: 498-502.
39. Yang J K, Qi X L, Chen L. Biomathematics Overview. Beijing: Science Press, 1982. 640-722.