{"title":"磷酸泼尼松龙脂质体的生物预测释放测定。","authors":"","doi":"10.1016/j.jconrel.2024.07.069","DOIUrl":null,"url":null,"abstract":"<div><p>Predictive performance assays are crucial for the development and approval of nanomedicines and their bioequivalent successors. At present, there are no established compendial methods that provide a reliable standard for comparing and selecting these formulation prototypes, and our understanding of the <em>in vivo</em> release remains still incomplete. Consequently, extensive animal studies, with enhanced analytical resolution for both, released and encapsulated drug, are necessary to assess bioequivalence. This significantly raises the cost and duration of nanomedicine development. This work presents the development of a discriminatory and biopredictive release test method for liposomal prednisolone phosphate. Using model-informed deconvolution, we identified an <em>in vivo</em> target release. The experimental design employed a discrete L-optimal configuration to refine the analytical method and determine the impact of <em>in vitro</em> parameters on the dosage form. A three-point specification evaluated the key phases of <em>in vivo</em> release: early (T-5%), intermediate (T-20%), and late release behavior (T-40%), compared to the <em>in vivo</em> release profile of the reference product, NanoCort®. Various levels of shear responses and the influence of clinically relevant release media compositions were tested. This enabled an assessment of the effect of shear on the release, an essential aspect of their <em>in vivo</em> deformation and release behavior. The type and concentration of proteins in the medium influence liposome release. Fetal bovine serum strongly impacted the discriminatory performance at intermediate shear conditions. The method provided deep insights into the release response of liposomes and offers an interesting workflow for <em>in vitro</em> bioequivalence evaluation.</p></div>","PeriodicalId":15450,"journal":{"name":"Journal of Controlled Release","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A bio-predictive release assay for liposomal prednisolone phosphate\",\"authors\":\"\",\"doi\":\"10.1016/j.jconrel.2024.07.069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Predictive performance assays are crucial for the development and approval of nanomedicines and their bioequivalent successors. At present, there are no established compendial methods that provide a reliable standard for comparing and selecting these formulation prototypes, and our understanding of the <em>in vivo</em> release remains still incomplete. Consequently, extensive animal studies, with enhanced analytical resolution for both, released and encapsulated drug, are necessary to assess bioequivalence. This significantly raises the cost and duration of nanomedicine development. This work presents the development of a discriminatory and biopredictive release test method for liposomal prednisolone phosphate. Using model-informed deconvolution, we identified an <em>in vivo</em> target release. The experimental design employed a discrete L-optimal configuration to refine the analytical method and determine the impact of <em>in vitro</em> parameters on the dosage form. A three-point specification evaluated the key phases of <em>in vivo</em> release: early (T-5%), intermediate (T-20%), and late release behavior (T-40%), compared to the <em>in vivo</em> release profile of the reference product, NanoCort®. Various levels of shear responses and the influence of clinically relevant release media compositions were tested. This enabled an assessment of the effect of shear on the release, an essential aspect of their <em>in vivo</em> deformation and release behavior. The type and concentration of proteins in the medium influence liposome release. Fetal bovine serum strongly impacted the discriminatory performance at intermediate shear conditions. The method provided deep insights into the release response of liposomes and offers an interesting workflow for <em>in vitro</em> bioequivalence evaluation.</p></div>\",\"PeriodicalId\":15450,\"journal\":{\"name\":\"Journal of Controlled Release\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2024-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Controlled Release\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168365924005273\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Controlled Release","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168365924005273","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
A bio-predictive release assay for liposomal prednisolone phosphate
Predictive performance assays are crucial for the development and approval of nanomedicines and their bioequivalent successors. At present, there are no established compendial methods that provide a reliable standard for comparing and selecting these formulation prototypes, and our understanding of the in vivo release remains still incomplete. Consequently, extensive animal studies, with enhanced analytical resolution for both, released and encapsulated drug, are necessary to assess bioequivalence. This significantly raises the cost and duration of nanomedicine development. This work presents the development of a discriminatory and biopredictive release test method for liposomal prednisolone phosphate. Using model-informed deconvolution, we identified an in vivo target release. The experimental design employed a discrete L-optimal configuration to refine the analytical method and determine the impact of in vitro parameters on the dosage form. A three-point specification evaluated the key phases of in vivo release: early (T-5%), intermediate (T-20%), and late release behavior (T-40%), compared to the in vivo release profile of the reference product, NanoCort®. Various levels of shear responses and the influence of clinically relevant release media compositions were tested. This enabled an assessment of the effect of shear on the release, an essential aspect of their in vivo deformation and release behavior. The type and concentration of proteins in the medium influence liposome release. Fetal bovine serum strongly impacted the discriminatory performance at intermediate shear conditions. The method provided deep insights into the release response of liposomes and offers an interesting workflow for in vitro bioequivalence evaluation.
期刊介绍:
The Journal of Controlled Release (JCR) proudly serves as the Official Journal of the Controlled Release Society and the Japan Society of Drug Delivery System.
Dedicated to the broad field of delivery science and technology, JCR publishes high-quality research articles covering drug delivery systems and all facets of formulations. This includes the physicochemical and biological properties of drugs, design and characterization of dosage forms, release mechanisms, in vivo testing, and formulation research and development across pharmaceutical, diagnostic, agricultural, environmental, cosmetic, and food industries.
Priority is given to manuscripts that contribute to the fundamental understanding of principles or demonstrate the advantages of novel technologies in terms of safety and efficacy over current clinical standards. JCR strives to be a leading platform for advancements in delivery science and technology.