Resazurin Assay Data for Mycobacterium tuberculosis Supporting a Model of the Growth Accelerated by a Stochastic Non-Homogeneity

Eugene B. Postnikov, Andrey A. Khalin, Anastasia I. Lavrova and Olga A. Manicheva
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Eugene B. Postnikov: Department of Theoretical Physics, Kursk State University, Radishcheva st. 33, 305000 Kursk, Russia
Andrey A. Khalin: Department of Theoretical Physics, Kursk State University, Radishcheva st. 33, 305000 Kursk, Russia
Anastasia I. Lavrova: Medical Faculty, Saint-Petersburg State University, 21-thLine V.O. 8a, 199106 Saint-Petersburg, Russia
Olga A. Manicheva: Saint-Petersburg State Research Institute of Phthisiopulmonology, Lygovsky Avenue 2-4, 191036 Saint-Petersburg, Russia

Data, 2019, vol. 4, issue 1, 1-8

Abstract: Tuberculosis is one of the most widespread worldwide diseases heavily affecting society. Among popular modern laboratory tests for mycobacterial growth, the resazurin assay has certain advantages due to its effectiveness and relatively low cost. However, the high heterogeneity of the mycobacterial population affects the average growth rate. This fact must be taken into account in a quantitative interpretation of these tests’ output—fluorescence growth curves—related to the population growth of viable mycobacteria. Here, we report the spectrophotometric data obtained via the resazurin assay for the standard reference strain of Mycobacterium tuberculosis H37Rv for different initial dilutions and generation numbers of the culture, as well as their primary processing from the point of view of the stochastic multiplicative growth model. The obtained data, which indicate an accelerated (instead of linear) growth of the population density logarithm between the end of the lag phase and the saturation, provide evidence of the importance of the growth rates’ stochasticity. An analysis of the curve fits resulted in an estimation of the first two moments of the growth rates’ probability distributions, showing its relevance to vital processes for mycobacterial culture.

Keywords: Mycobacterium tuberculosis; stochastic growth rates; population growth models; accelerated growth (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2019
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