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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Kinetic microplate bioassays for relative potency of antibiotics improved by partial Least Square (PLS) regression

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Author(s):
Francisco, Fabiane Lacerda [1] ; Saviano, Alessandro Morais [1] ; Botelho Almeida, Tulia de Souza [1] ; Lourenco, Felipe Rebello [1]
Total Authors: 4
Affiliation:
[1] Univ Sao Paulo, Fac Ciencias Farmaceut, Dept Farm, Av Prof Lineu Prestes 580, Bloco 13, BR-05508000 Sao Paulo, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Journal of Microbiological Methods; v. 124, p. 28-34, MAY 2016.
Web of Science Citations: 5
Abstract

Microbiological assays are widely used to estimate the relative potencies of antibiotics in order to guarantee the efficacy, safety, and quality of drug products. Despite of the advantages of turbidimetric bioassays when compared to other methods, it has limitations concerning the linearity and range of the dose-response curve determination. Here, we proposed to use partial least squares (PLS) regression to solve these limitations and to improve the prediction of relative potencies of antibiotics. Kinetic-reading microplate turbidimetric bioassays for apramacyin and vancomycin were performed using Escherichia coli (ATCC 8739) and Bacillus subtilis (ATCC 6633), respectively. Microbial growths were measured as absorbance up to 180 and 300 min for apramycin and vancomycin turbidimetric bioassays, respectively. Conventional dose-response curves (absorbances or area under the microbial growth curve vs. log of antibiotic concentration) showed significant regression, however there were significant deviation of linearity. Thus, they could not be used for relative potency estimations. PLS regression allowed us to construct a predictive model for estimating the relative potencies of apramycin and vancomycin without over-fitting and it improved the linear range of turbidimetric bioassay. In addition, PLS regression provided predictions of relative potencies equivalent to those obtained from agar diffusion official methods. Therefore, we conclude that PLS regression may be used to estimate the relative potencies of antibiotics with significant advantages when compared to conventional dose-response curve determination. (C) 2016 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 13/10743-0 - Measurement uncertainty in the analysis of antibiotics
Grantee:Felipe Rebello Lourenço
Support Opportunities: Regular Research Grants