Enhanced extraction of 3-demethylated colchicine from fermentation broth of Bacillus megaterium: Optimization of process parameters by statistical experimental design

The Interaction of the Microtubule Targeting Anticancer Drug Colchicine with Human Glutathione Transferases

BACKGROUND

Glutathione transferases (GSTs) are a family of Phase II detoxification enzymes that have been shown to be involved in the development of multi-drug resistance (MDR) mechanism toward chemotherapeutic agents. GST inhibitors have, therefore, emerged as promising chemosensitizers to manage and reverse MDR. Colchicine (COL) is a classical antimitotic, tubulin-binding agent (TBA) which is being explored as anticancer drug.

METHODS

In the present work, the interaction of COL and its derivative 2,3-didemethylcolchicine (2,3-DDCOL) with human glutathione transferases (hGSTA1-1, hGSTP1-1, hGSTM1-1) was investigated by inhibition analysis, molecular modelling and molecular dynamics simulations.

RESULTS

The results showed that both compounds bind reversibly to human GSTs and behave as potent inhibitors. hGSTA1-1 was the most sensitive enzyme to inhibition by COL with IC50 22 μΜ. Molecular modelling predicted that COL overlaps with both the hydrophobic (H-site) and glutathione binding site (G-site) and polar interactions appear to be the driving force for its positioning and recognition at the binding site. The interaction of COL with other members of GST family (hGSTA2-2, hGSTM3-3, hGSTM3-2) was also investigated with similar results.

CONCLUSION

The results of the present study might be useful in future drug design and development efforts towards human GSTs.

Preparation and Evaluation of the ZnO NP-Ampicillin/Sulbactam Nanoantibiotic: Optimization of Formulation Variables Using RSM Coupled GA Method and Antibacterial Activities

Nanoparticles (NPs) possessing antibacterial activity represent an effective way of overcoming bacterial resistance. In the present work, we report a novel formulation of a nanoantibiotic formed using Ampicillin/sulbactam (Ams) and a zinc oxide nanoparticle (ZnO NP). 'ZnO NP-Ams' nanoantibiotic formulation is optimized using response surface methodology coupled genetic algorithm approach. The optimized formulation of nanoantibiotic (ZnO NP: 49.9 μg/mL; Ams: 33.6 μg/mL; incubation time: 27 h) demonstrated 15% enhanced activity compared to the unoptimized formulation against K. pneumoniae. The reactive oxygen species (ROS) generation was directly proportional to the interaction time of nanoantibiotic and K. pneumoniae after the initial lag phase of ~18 h as evident from 2'-7'-Dichlorodihydrofluorescein diacetate assay. A low minimum inhibitory concentration (6.25 μg/mL) of nanoantibiotic formulation reveals that even a low concentration of nanoantibiotic can prove to be effective against K. pneumoniae. The importance of nanoantibiotic formulation is also evident by the fact that the 100 μg/mL of Ams and 25 µg of ZnO NP was required individually to inhibit the growth of K. pneumonia, whereas only 6.25 μg/mL of optimized nanoantibiotic formulation (ZnO NP and Ams in the ratio of 49.9: 33.6 in μg/mL and conjugation time of 27 h) was needed for the same.

Development of aqueous two-phase systems comprising poly ethylene glycol and dextran for purification of pullulan: Phase diagrams and fiscal analysis

Pullulan is a commercially important Exopolysaccharide (EPS) with wide-spread applications which is produced by Aureobasidium pullulans. The alternative α (1 4) & α (1 6) configuration in pullulan provides it the specific structural and conformational properties. Pullulan is currently being exploited in food, health care, pharmacy, lithography, cosmetics. The fermented broth is processed by organic solvent precipitation for isolation and purification of pullulan. In this study, we have tried to analyze the potential of aqueous two phase system as an alternate technique to extract pullulan from fermented broth. Including this viability of ATPS was also compared with conventional organic solvent precipitation system in terms of cost and time. It was found that ATPS process produced a higher yield of pullulan (80.56%) than organic solvent precipitation method (71.6%). ATPS was also found more economical and less time consuming method.

Strategies for Fermentation Medium Optimization: An In-Depth Review

Optimization of production medium is required to maximize the metabolite yield. This can be achieved by using a wide range of techniques from classical “one-factor-at-a-time” to modern statistical and mathematical techniques, viz. artificial neural network (ANN), genetic algorithm (GA) etc. Every technique comes with its own advantages and disadvantages, and despite drawbacks some techniques are applied to obtain best results. Use of various optimization techniques in combination also provides the desirable results. In this article an attempt has been made to review the currently used media optimization techniques applied during fermentation process of metabolite production. Comparative analysis of the merits and demerits of various conventional as well as modern optimization techniques have been done and logical selection basis for the designing of fermentation medium has been given in the present review. Overall, this review will provide the rationale for the selection of suitable optimization technique for media designing employed during the fermentation process of metabolite production.

Artificial Intelligence vs. Statistical Modeling and Optimization of Continuous Bead Milling Process for Bacterial Cell Lysis

For a commercially viable recombinant intracellular protein production process, efficient cell lysis and protein release is a major bottleneck. The recovery of recombinant protein, cholesterol oxidase (COD) was studied in a continuous bead milling process. A full factorial response surface methodology (RSM) design was employed and compared to artificial neural networks coupled with genetic algorithm (ANN-GA). Significant process variables, cell slurry feed rate (A), bead load (B), cell load (C), and run time (D), were investigated and optimized for maximizing COD recovery. RSM predicted an optimum of feed rate of 310.73 mL/h, bead loading of 79.9% (v/v), cell loading OD600nm of 74, and run time of 29.9 min with a recovery of ~3.2 g/L. ANN-GA predicted a maximum COD recovery of ~3.5 g/L at an optimum feed rate (mL/h): 258.08, bead loading (%, v/v): 80%, cell loading (OD600nm): 73.99, and run time of 32 min. An overall 3.7-fold increase in productivity is obtained when compared to a batch process. Optimization and comparison of statistical vs. artificial intelligence techniques in continuous bead milling process has been attempted for the very first time in our study. We were able to successfully represent the complex non-linear multivariable dependence of enzyme recovery on bead milling parameters. The quadratic second order response functions are not flexible enough to represent such complex non-linear dependence. ANN being a summation function of multiple layers are capable to represent complex non-linear dependence of variables in this case; enzyme recovery as a function of bead milling parameters. Since GA can even optimize discontinuous functions present study cites a perfect example of using machine learning (ANN) in combination with evolutionary optimization (GA) for representing undefined biological functions which is the case for common industrial processes involving biological moieties.

Downstream processing of serinol from a glycerol-based fermentation broth and transfer to other amine containing molecules

A possible application of glycerol, which is produced in large amounts as a by-product from the biodiesel industry, is its fermentation to serinol (2-amino-1,3-propanediol), a glycerol derivative. The downstream processing of this glycerol-based fermentation broth was investigated. The challenge of the isolation of serinol was the complex media and the solubility of the desired substance in aqueous media. In this study, the isolation of serinol was investigated by an appropriate reversible derivatization method. Serinol was isolated by protecting the amino group with diethyl ethoxymethylenemalonate directly in the aqueous phase, followed by extraction of the 2,2-bis(ethoxycarbonyl)vinyl-serinol (BECV-serinol) with ethyl acetate resulting in an isolated yield of 63%. We demonstrate the possibility of isolation of a hydroscopic amino alcohol from the fermentation broth and the comparison of the products in water as well as the cleavage of the 2,2-bis(ethoxycarbonyl)vinyl group (BECV group). The procedure can also be used for other amino group containing molecules, such as serine, glucosamine, hexylamine and amino methyl laureate.

Concomitant Production of Lipids and Carotenoids in Rhodosporidium toruloides under Osmotic Stress Using Response Surface Methodology

As a replacement to existing fossil fuels, biofuels, have proven their worth; however, their widespread use is limited due to inconsistent yields, higher costs and poor productivity. An oleaginous yeast, Rhodosporidium toruloides has been reported to accumulate substantial amounts of lipids (that can be converted to biofuels) and therefore, it was selected for study and optimization. Apart from lipids, R. toruloides is also reported to produce carotene that can be used as a therapeutic agent. In this study, the culture medium was statistically modeled and optimized for concomitant production of lipids and carotenoids and for improving and maximizing the productivity of lipids as well as carotenes. The two metabolites were expressed differentially in the growth cycle of the organism. Culture medium components were simultaneously varied at five different levels using statistical modeling employing response surface methodology (RSM). Osmotic stress was introduced in order to simulate saline conditions and optimize the carotenoid as well as lipid production process, to be used in conditions with high salt contents. We observed a 10% (w/v) increase in carotenoid production in initial experiments under osmotic stress due to high salt concentration, while the increase in lipid synthesis was not pronounced. In this study, we demonstrate 36.2% (w/v) lipid production and 27.2% (w/v) carotenoid production, under osmotic stress with high salt concentrations, for the first time.

Constrained azeotropic optimization of extraction system components for the safe and efficient recovery of a desired metabolite (e.g., 3-demethylated colchicine)

Constrained azeotropic optimization of extraction system components for the safe and efficient recovery of a desired metabolite (e.g., 3-DMC) using artificial learning and evolutionary optimization techniques.

Modeling and optimization of a continuous bead milling process for bacterial cell lysis using response surface methodology

Schematic representation of the modeling and optimization of continuous bead milling process for efficient bacterial cell lysis.