Augmenting the safety and therapeutic efficacy of doxycycline and rifampicin-loaded solid lipid nanoparticles against Brucella abortus using murine model

Abstract Background Prolonged therapy, hepatic damage, and the development of drug resistance are the limitations of doxycycline and rifampicin in the treatment of brucellosis. This study was designed to assess the effect of solid lipid nanoparticles (SLNs) encapsulation of these antimicrobials against brucella. SLNs were prepared by a double emulsion method and characterized for entrapment efficiency, particle size distribution, drug release, infrared spectroscopy, differential scanning calorimetry, and scanning electron microscopy. The encapsulated formulations were tested for stability, safety, and in vitro antimicrobial assay on brucella and brucella-infected mice models. Results The particle size, polydispersity index and zeta potential of doxycycline encapsulated SLN size were 443.6 ± 3.03 nm, 0.858 ± 0.00, and + 26.5 ± 1.87 mV, respectively. The rifampicin SLN showed particle size, polydispersity index, and zeta potential of 348.7 ± 3.35 nm, 0.234 ± 0.00, and + 22.9 ± 1.59 mV. The entrapment efficiency of doxycycline and rifampicin encapsulated SLN was 98% and 96%, respectively. The drug-loaded SLN retained the biophysical properties, drug loading, and entrapment efficiency after storage at 4 °C as well as 25 °C for 6 months. The Fourier transform infrared spectroscopy depicted effective encapsulation and the Differential scanning colorimetry thermogram revealed a negative interaction of drug and polymer. Drug release parameters were fitted well with the Korsmeyer–Peppas and Hixson–Crowell model ( R 2 ≥ .09). The MIC findings showed a reduction in MIC values of SLN-encapsulated rifampicin; whereas, doxycycline did not show any changes. The MBC value for free and SLN-encapsulated doxycycline and rifampicin did not show changes. SLN encapsulation did not show any cytotoxicity on murine macrophage cell line RAW 264.76 for both drugs. Doxycycline and rifampicin significantly reduced the CFU of B. abortus compared to the free drug ( P > 0.05), resulting in less damage to the liver and kidneys. Conclusions The present study concludes that SLN encapsulation of doxycycline and rifampicin would be safe and effective for the prolonged treatment regimen against Brucella infection. Graphical abstract

Authors

Institutions

Publication Details

Journal
Future Journal of Pharmaceutical Sciences
Published
2024-12-23
DOI
https://doi.org/10.1186/s43094-024-00753-8
Citations
2
Primary Topic
Brucella: diagnosis, epidemiology, treatment
Type
article
Field-Weighted Citation Impact
1.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Augmenting the safety and therapeutic efficacy of doxycycline and rifampicin-loaded solid lipid nanoparticles against Brucella abortus using murine model

Prasad Thomas, Narayanan Krishnaswamy, K. Himani, Akhilesh Kumar et al.
2 citations
Future Journal of Pharmaceutical Sciences
Brucella: diagnosis, epidemiology, treatment
1.28
article

Augmenting the safety and therapeutic efficacy of doxycycline and rifampicin-loaded solid lipid nanoparticles against Brucella abortus using murine model

Prasad Thomas, Narayanan Krishnaswamy, K. Himani, Akhilesh Kumar, Subbaiyan Anbazhagan, Lakshmi Prakasan, Praveen Singh, Pallab Chaudhuri
article en
2 citations

Abstract

Abstract Background Prolonged therapy, hepatic damage, and the development of drug resistance are the limitations of doxycycline and rifampicin in the treatment of brucellosis. This study was designed to assess the effect of solid lipid nanoparticles (SLNs) encapsulation of these antimicrobials against brucella. SLNs were prepared by a double emulsion method and characterized for entrapment efficiency, particle size distribution, drug release, infrared spectroscopy, differential scanning calorimetry, and scanning electron microscopy. The encapsulated formulations were tested for stability, safety, and in vitro antimicrobial assay on brucella and brucella-infected mice models. Results The particle size, polydispersity index and zeta potential of doxycycline encapsulated SLN size were 443.6 ± 3.03 nm, 0.858 ± 0.00, and + 26.5 ± 1.87 mV, respectively. The rifampicin SLN showed particle size, polydispersity index, and zeta potential of 348.7 ± 3.35 nm, 0.234 ± 0.00, and + 22.9 ± 1.59 mV. The entrapment efficiency of doxycycline and rifampicin encapsulated SLN was 98% and 96%, respectively. The drug-loaded SLN retained the biophysical properties, drug loading, and entrapment efficiency after storage at 4 °C as well as 25 °C for 6 months. The Fourier transform infrared spectroscopy depicted effective encapsulation and the Differential scanning colorimetry thermogram revealed a negative interaction of drug and polymer. Drug release parameters were fitted well with the Korsmeyer–Peppas and Hixson–Crowell model ( R 2 ≥ .09). The MIC findings showed a reduction in MIC values of SLN-encapsulated rifampicin; whereas, doxycycline did not show any changes. The MBC value for free and SLN-encapsulated doxycycline and rifampicin did not show changes. SLN encapsulation did not show any cytotoxicity on murine macrophage cell line RAW 264.76 for both drugs. Doxycycline and rifampicin significantly reduced the CFU of B. abortus compared to the free drug ( P > 0.05), resulting in less damage to the liver and kidneys. Conclusions The present study concludes that SLN encapsulation of doxycycline and rifampicin would be safe and effective for the prolonged treatment regimen against Brucella infection. Graphical abstract

Future Journal of Pharmaceutical SciencesVol. 10(1)
Indian Veterinary Research Institute (IN)
Indian Council of Agricultural Research, ICAR-Indian Veterinary Research Institute
Good health and well-being
Openalex Percentile: Top 18%
Brucella: diagnosis, epidemiology, treatment
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.