Formulation and Optimization of Ansamycin-Loaded Polymeric Nanoparticles Using Response Surface Methodology for Bacterial Meningitis

Nair, Keerthi G.; Velmurugan, Ramaiyan; Kumar, S. Sathesh

doi:10.1007/s12668-019-00713-0

Cited by 14 publications

(7 citation statements)

References 22 publications

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“…Ansamycin loaded polymeric nanoparticles were prepared using emulsion/solvent diffusion method. 15 There were two phases: an organic one, made of PLGA and ansamycin dissolving in 10ml of DMSO, and an aqueous one, made of poloxamer dissolving in 100 ml water. Drop by drop, at a rate of 1 ml/min, 10 ml of organic phase was added to 10 ml of aqueous phase.…”

Section: Formulation Of Nanoparticlementioning

confidence: 99%

Inhibition of Escherichia coli Induced Bacterial Meningitis by Ansamycin Loaded Polymeric Nanoparticles

Wang¹,

Pan²,

Geng³

2022

Ind. J. Pharm. Edu. Res

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Background: Bacterial meningitis is a serious medical disorder that should be treated as soon as possible. Aim: The effect of ansamycin as a nanoformulation on Escherichia coliinduced meningitis was investigated. Materials and Methods: By injecting Escherichia coli directly into the brains of Swiss Albino mice, an experimental meningitis model was established. Results: As expected, TNF-α, IL-6, and IL-10 secretion was stimulated, following neutrophil infiltration. Additionally, the BBB's vasopermeability was raised. Ansamcyin nanoparticles were delivered to assess their therapeutic potential in preventing bacterial meningitis caused by Escherichia coli. Ansamycin nanoparticle-treated mice produced less tumour necrosis factor alpha and interleukins when brain tissue was stained, compared to nontreated mice. E. coli-induced increases in the permeability of the blood-brain barrier and infiltration of inflammatory neutrophils were also prevented. Conclusion: These findings suggest that ansamycin nanoparticles could be used to treat bacterial meningitis. It has been shown that ansamycin nanoparaticles can prevent the mice from E. coli-induced mortality, therefore enhancing their outcome.

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Section: Formulation Of Nanoparticlementioning

confidence: 99%

Inhibition of Escherichia coli Induced Bacterial Meningitis by Ansamycin Loaded Polymeric Nanoparticles

Wang¹,

Pan²,

Geng³

2022

Ind. J. Pharm. Edu. Res

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“…The values of Q 2 obtained are of the order of 0.723 for the turbidity and 0.805 for the interfacial tension, which makes it possible to conclude that the model has an acceptable predictive power. [11][12][13][14][15][16] The results obtained are given in Table S-IV.…”

Section: Establishment Of Responses According To Formulation Factorsmentioning

confidence: 99%

“…The main advantage of this method compared to other methods of experimental statistical design is the reduced number of experimental tests necessary to evaluate several parameters and their interactions. 13 This study aims to assess the effects of four factors such as a cationic surfactant, CTAB, non-ionic surfactant,Tween 80, Algerian olive oil, and sodium alginate as a polymer on the physicochemical properties. Aqueous solutions such as turbidity, conductivity, viscosity, and turbidity were used as responses for the experimental design model through a response surface methodology, namely D-optimal design.…”

Section: Introductionmentioning

confidence: 99%

Response surface methodology for the study of interactions between components in a micellar system formulation

Omari

Nedjhioui

Hamidi

et al. 2021

JSCS

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This work aims to examine the interaction of certain physicochemical properties on micellar systems constituted of a polymer (sodium alginate), two surfactants (CTand tween 80), and Algerian olive oil. Response surface modelling (RSM) was applied to study the combined effects of systems containing each type of surfactant. The monitoring of four independent parameters such as the interfacial tension (Y1), the conductivity (Y2), the viscosity (Y3), and the turbidity (Y4) as responses for the experimental design model allowed to determine the performance of the models established. Based on statistical analyzes, the coefficients R2 and Q2 for the interfacial tension, the conductivity, the viscosity and the turbidity are: 0.998 and 0.805; 0.982 and 0.742; 0.976 and 0.734, and 0.985 and 0.723; respectively. The obtained results indicate that these models showed a good predictive power for an optimal system composed of CTAB, Tween 80, AlgNa, and olive oil. For the CT/ AlgNa and CT/ olive oil systems, interfacial tension values of 33.85 and 34.39 mN m-1. Maximum conductivity values of 4.126 and 4.064 mScm-1 were also obtained. For viscous compounds consisting of AlgNa / Olive Oil and AlgNa / Tween 80, maximum viscosity values of 202.5 and 196.6 mPa s were obtained. For the same systems as those for viscosity, turbidity values of 300 and 304 NTU were obtained.

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“…Using the emulsification solvent diffusion technique, ansamycin-loaded PLGA polymeric nanoparticles were developed. [12] It was used to treat the disease bacterial meningitis. The formulation and evaluation carried out by drug release studies in nanoparticles in vitro showed a 36-h sustained release.…”

Section: Drug Loaded Plga Nanoparticlesmentioning

confidence: 99%

Untitled

Kumar¹

2021

AJP

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Formulation and Optimization of Ansamycin-Loaded Polymeric Nanoparticles Using Response Surface Methodology for Bacterial Meningitis

Cited by 14 publications

References 22 publications

Inhibition of Escherichia coli Induced Bacterial Meningitis by Ansamycin Loaded Polymeric Nanoparticles

Inhibition of Escherichia coli Induced Bacterial Meningitis by Ansamycin Loaded Polymeric Nanoparticles

Response surface methodology for the study of interactions between components in a micellar system formulation

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