Weibull β value for the discernment of drug release mechanism of PLGA particles

Martín-Camacho, Ubaldo de Jesús; Rodríguez-Barajas, Noé; Sánchez-Burgos, Jorge Alberto; Pérez-Larios, Alejandro

doi:10.1016/j.ijpharm.2023.123017

Cited by 15 publications

(1 citation statement)

References 127 publications

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“…In this case, the swelling and degradation of the chitosan and GRGDS-conjugated matrix can be the main factors governing the temporal release of the etamsylate from the particle core. To assign a release mechanism for the β values, Martín-Camacho et al, successfully verified the application of the empirical Weibull model for the analysis of release profiles from PLGA-based DDS by establishing a link between the n and β parameters. When determining drug release from swellable polymeric nanoparticles that produces the desired release profile in vivo, the Weibull model seems to be more helpful, according to Azadi et al Swelling of chitosan and modified chitosan polymer matrix was suspected as a drug release mechanism in various literatures involving chitosan nanoparticles. − This mechanism involves hydration, which entails introducing water into the polymer system causing it to dissolve, and the polymer chains untangle, which causes swelling of chitosan NPs.…”

Section: Results and Discussionmentioning

confidence: 99%

Spatiotemporally Controlled Release of Etamsylate from Bioinspired Peptide-Functionalized Nanoparticles Arrests Bleeding Rapidly and Improves Clot Stability in a Rabbit Internal Hemorrhage Model

Mukherjee,

Sasmal,

Reddy

et al. 2024

ACS Biomater. Sci. Eng.

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Achieving rapid clotting and clot stability are important unmet goals of clinical management of noncompressible hemorrhage. This study reports the development of a spatiotemporally controlled release system of an antihemorrhagic drug, etamsylate, in the management of internal hemorrhage. Gly-Arg-Gly-Asp-Ser (GRGDS) peptidefunctionalized chitosan nanoparticles, with high affinity to bind with the GPIIa/IIIb receptor of activated platelets, were loaded with the drug etamsylate (etamsylate-loaded GRGDS peptide-functionalized chitosan nanoparticles; EGCSNP). Peptide conjugation was confirmed by LCMS, and the delivery system was characterized by DLS, SEM, XRD, and FTIR. In vitro study exhibited 90% drug release till 48 h fitting into the Weibull model. Plasma recalcification time and prothrombin time tests of GRGDS-functionalized nanoparticles proved that clot formation was 1.5 times faster than nonfunctionalized chitosan nanoparticles. The whole blood clotting time was increased by 2.5 times over clot formed under nonfunctionalized chitosan nanoparticles. Furthermore, the application of rheometric analysis revealed a 1.2 times stiffer clot over chitosan nanoparticles. In an in vivo liver laceration rabbit model, EGCSNP spatially localized at the internal injury site within 5 min of intravenous administration, and no rebleeding was recorded up to 3 h. The animals survived for 3 weeks after the injury, indicating the strong potential of the system for the management of noncompressible hemorrhage.

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Section: Results and Discussionmentioning

confidence: 99%

Spatiotemporally Controlled Release of Etamsylate from Bioinspired Peptide-Functionalized Nanoparticles Arrests Bleeding Rapidly and Improves Clot Stability in a Rabbit Internal Hemorrhage Model

Mukherjee,

Sasmal,

Reddy

et al. 2024

ACS Biomater. Sci. Eng.

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A Bayesian model‐based reduced major axis regression

Ma,

Chen

2024

Biometrical J

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Reduced major axis (RMA) regression, widely used in the fields of zoology, botany, ecology, biology, spectroscopy, and among others, outweighs the ordinary least square regression by relaxing the assumption that the covariates are without measurement errors. A Bayesian implementation of the RMA regression is presented in this paper, and the equivalence of the estimates of the parameters under the Bayesian and the frequentist frameworks is proved. This model‐based Bayesian RMA method is advantageous since the posterior estimates, the standard deviations, as well as the credible intervals of the estimates can be obtained through Markov chain Monte Carlo methods directly. In addition, it is straightforward to extend to the multivariate RMA case. The performance of the Bayesian RMA approach is evaluated in the simulation study, and, finally, the proposed method is applied to analyze a dataset in the plantation.

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Population Pharmacokinetics of Naloxegol in Pediatric Subjects Receiving Opioids

Hruska,

Mascelli,

Liao

et al. 2024

Clinical Pharm in Drug Dev

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The pharmacokinetics (PK) of naloxegol were characterized in pediatric subjects, aged 6 months or older to less than 18 years who either have or are at risk of developing opioid‐induced constipation following single dose administration. Subjects grouped as aged 12 years or older to less than 18 years, 6 months or older to less than 12 years, and 6 months or older to less than 6 years, received a single oral dose of naloxegol at doses that were estimated to achieve plasma exposures comparable to adult 12.5‐ or 25‐mg doses. Intensive and sparse plasma naloxegol samples were collected to assess naloxegol concentrations. Data were combined with previously collected adult PK data and used to estimate PK parameters using population PK analyses. Naloxegol PK was described using a 2‐compartment model with Weibull‐type absorption. Neither age nor body weight was identified as a significant covariate indicating similar PK properties in adult and pediatric subjects. PK estimates in the youngest age group were approximately 80% less than those in adults (12.5‐mg equivalent dose). Exposures in the other pediatric groups were similar to those in adult equivalent doses. The PK of naloxegol were characterized as linear over the dose range, with no clinically significant covariates and comparable PK characteristics in adults and pediatric subjects aged 6 months or older.

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Weibull β value for the discernment of drug release mechanism of PLGA particles

Cited by 15 publications

References 127 publications

Spatiotemporally Controlled Release of Etamsylate from Bioinspired Peptide-Functionalized Nanoparticles Arrests Bleeding Rapidly and Improves Clot Stability in a Rabbit Internal Hemorrhage Model

Spatiotemporally Controlled Release of Etamsylate from Bioinspired Peptide-Functionalized Nanoparticles Arrests Bleeding Rapidly and Improves Clot Stability in a Rabbit Internal Hemorrhage Model

A Bayesian model‐based reduced major axis regression

Population Pharmacokinetics of Naloxegol in Pediatric Subjects Receiving Opioids

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