1
|
Hernández-Giottonini K, Arellano-Reynoso B, Rodríguez-Córdova RJ, de la Vega-Olivas J, Díaz-Aparicio E, Lucero-Acuña A. Enhancing Therapeutic Efficacy against Brucella canis Infection in a Murine Model Using Rifampicin-Loaded PLGA Nanoparticles. ACS OMEGA 2023; 8:49362-49371. [PMID: 38162745 PMCID: PMC10753543 DOI: 10.1021/acsomega.3c07892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 01/03/2024]
Abstract
The in vivo efficacy of rifampicin encapsulated in poly(lactic-co-glycolic acid) (PLGA) nanoparticles was evaluated for the treatment of BALB/c mice experimentally infected with Brucella canis. The PLGA nanoparticles loaded with rifampicin (RNP) were prepared using the single emulsification-solvent evaporation technique, resulting in nanoparticles with a hydrodynamic diameter of 138 ± 6 nm. The zeta potential and polydispersity index values indicated that the system was relatively stable with a narrow size distribution. The release of rifampicin from the nanoparticles was studied in phosphate buffer at pH 7.4 and 37 °C. The release profile showed an initial burst phase, followed by a slower release stage attributed to nanoparticle degradation and relaxation, which continued for approximately 30 days until complete drug release. A combined model of rifampicin release, accounting for both the initial burst and the degradation-relaxation of the nanoparticles, effectively described the experimental data. The efficacy of RNP was studied in vivo; infected mice were treated with free rifampicin at concentrations of 2 mg per kilogram of mice per day (C1) and 4 mg per kilogram of mice per day (C2), as well as equivalent doses of RNP. Administration of four doses of the nanoparticles significantly reduced the B. canis load in the spleen of infected BALB/c mice. RNP demonstrated superior effectiveness compared to the free drug in the spleen, achieving reductions of 85.4 and 49.4%, respectively, when using C1 and 93.3 and 61.8%, respectively, when using C2. These results highlight the improved efficacy of the antibiotic when delivered through nanoparticles in experimentally infected mice. Therefore, the RNP holds promise as a potential alternative for the treatment of B. canis.
Collapse
Affiliation(s)
- Karol
Yesenia Hernández-Giottonini
- Posgrado
en Nanotecnología, Departamento de Física, Universidad de Sonora, Hermosillo 83000, Mexico
- Departamento
de Ingeniería Química y Metalurgia, Universidad de Sonora, Hermosillo 83000, Mexico
| | - Beatriz Arellano-Reynoso
- Facultad
de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma
de México, Circuito Exterior Ciudad
Universitaria, Coyoacán, Ciudad de México 04510, Mexico
| | - Rosalva Josefina Rodríguez-Córdova
- Posgrado
en Nanotecnología, Departamento de Física, Universidad de Sonora, Hermosillo 83000, Mexico
- Departamento
de Ingeniería Química y Metalurgia, Universidad de Sonora, Hermosillo 83000, Mexico
| | | | - Efrén Díaz-Aparicio
- CENID
Salud Animal e Inocuidad, Instituto Nacional
de Investigaciones Forestales, Agrícolas y Pecuarias, Carretera Federal México-Toluca
Km. 15.5, Cuajimalpa, Ciudad de México 05110, Mexico
| | - Armando Lucero-Acuña
- Posgrado
en Nanotecnología, Departamento de Física, Universidad de Sonora, Hermosillo 83000, Mexico
- Departamento
de Ingeniería Química y Metalurgia, Universidad de Sonora, Hermosillo 83000, Mexico
| |
Collapse
|
2
|
Abuawad A, Ashhab Y, Offenhäusser A, Krause HJ. DNA Sensor for the Detection of Brucella spp. Based on Magnetic Nanoparticle Markers. Int J Mol Sci 2023; 24:17272. [PMID: 38139102 PMCID: PMC10744106 DOI: 10.3390/ijms242417272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/04/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Due to the limitations of conventional Brucella detection methods, including safety concerns, long incubation times, and limited specificity, the development of a rapid, selective, and accurate technique for the early detection of Brucella in livestock animals is crucial to prevent the spread of the associated disease. In the present study, we introduce a magnetic nanoparticle marker-based biosensor using frequency mixing magnetic detection for point-of-care testing and quantification of Brucella DNA. Superparamagnetic nanoparticles were used as magnetically measured markers to selectively detect the target DNA hybridized with its complementary capture probes immobilized on a porous polyethylene filter. Experimental conditions like density and length of the probes, hybridization time and temperature, and magnetic binding specificity, sensitivity, and detection limit were investigated and optimized. Our sensor demonstrated a relatively fast detection time of approximately 10 min, with a detection limit of 55 copies (0.09 fM) when tested using DNA amplified from Brucella genetic material. In addition, the detection specificity was examined using gDNA from Brucella and other zoonotic bacteria that may coexist in the same niche, confirming the method's selectivity for Brucella DNA. Our proposed biosensor has the potential to be used for the early detection of Brucella bacteria in the field and can contribute to disease control measures.
Collapse
Affiliation(s)
- Abdalhalim Abuawad
- Institute of Biological Information Processing: Bioelectronics (IBI-3), Forschungszentrum Jülich, 52428 Jülich, Germany; (A.A.)
- Faculty of Mathematics, Computer Science and Natural Sciences, Rheinisch-Westfälische Technische Hochschule Aachen University, 52062 Aachen, Germany
| | - Yaqoub Ashhab
- Palestine–Korea Biotechnology Center, Palestine Polytechnic University, Hebron P720, Palestine
| | - Andreas Offenhäusser
- Institute of Biological Information Processing: Bioelectronics (IBI-3), Forschungszentrum Jülich, 52428 Jülich, Germany; (A.A.)
- Faculty of Mathematics, Computer Science and Natural Sciences, Rheinisch-Westfälische Technische Hochschule Aachen University, 52062 Aachen, Germany
| | - Hans-Joachim Krause
- Institute of Biological Information Processing: Bioelectronics (IBI-3), Forschungszentrum Jülich, 52428 Jülich, Germany; (A.A.)
| |
Collapse
|