Molecular Pharmaceutics最新文献

{"title":"Hydrogels as a Potential Biomaterial for Multimodal Therapeutic Applications","authors":"Harpreet Kaur, Bishmita Gogoi, Ira Sharma, Deepak Kumar Das, Mohd Ashif Azad, Devlina Das Pramanik, Arindam Pramanik","doi":"10.1021/acs.molpharmaceut.4c00595","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00595","url":null,"abstract":"Hydrogels, composed of hydrophilic polymer networks, have emerged as versatile materials in biomedical applications due to their high water content, biocompatibility, and tunable properties. They mimic natural tissue environments, enhancing cell viability and function. Hydrogels’ tunable physical properties allow for tailored antibacterial biomaterial, wound dressings, cancer treatment, and tissue engineering scaffolds. Their ability to respond to physiological stimuli enables the controlled release of therapeutics, while their porous structure supports nutrient diffusion and waste removal, fostering tissue regeneration and repair. In wound healing, hydrogels provide a moist environment, promote cell migration, and deliver bioactive agents and antibiotics, enhancing the healing process. For cancer therapy, they offer localized drug delivery systems that target tumors, minimizing systemic toxicity and improving therapeutic efficacy. Ocular therapy benefits from hydrogels’ capacity to form contact lenses and drug delivery systems that maintain prolonged contact with the eye surface, improving treatment outcomes for various eye diseases. In mucosal delivery, hydrogels facilitate the administration of therapeutics across mucosal barriers, ensuring sustained release and the improved bioavailability of drugs. Tissue regeneration sees hydrogels as scaffolds that mimic the extracellular matrix, supporting cell growth and differentiation for repairing damaged tissues. Similarly, in bone regeneration, hydrogels loaded with growth factors and stem cells promote osteogenesis and accelerate bone healing. This article highlights some of the recent advances in the use of hydrogels for various biomedical applications, driven by their ability to be engineered for specific therapeutic needs and their interactive properties with biological tissues.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning for Deconvolution and Segmentation of Hyperspectral Imaging Data from Biopharmaceutical Resins","authors":"Hong Wei, Joseph P. Smith","doi":"10.1021/acs.molpharmaceut.4c00540","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00540","url":null,"abstract":"Biopharmaceutical resins are pivotal inert matrices used across industry and academia, playing crucial roles in a myriad of applications. For biopharmaceutical process research and development applications, a deep understanding of the physical and chemical properties of the resin itself is frequently required, including for drug purification, drug delivery, and immobilized biocatalysis. Nevertheless, the prevailing methodologies currently employed for elucidating these important aspects of biopharmaceutical resins are often lacking, frequently require significant sample alteration, are destructive or ionizing in nature, and may not adequately provide representative information. In this work, we propose the use of unsupervised machine learning technologies, in the form of both non-negative matrix factorization (NMF) and <i>k</i>-means segmentation, in conjugation with Raman hyperspectral imaging to rapidly elucidate the molecular and spatial properties of biopharmaceutical resins. Leveraging our proposed technology, we offer a new approach to comprehensively understanding important resin-based systems for application across biopharmaceuticals and beyond. Specifically, focusing herein on a representative resin widely utilized across the industry (i.e., Immobead 150P), our findings showcase the ability of our machine learning-based technology to molecularly identify and spatially resolve all chemical species present. Further, we offer a comprehensive evaluation of optimal excitation for hyperspectral imaging data collection, demonstrating results across 532, 638, and 785 nm excitation. In all cases, our proposed technology deconvoluted, both spatially and spectrally, resin and glass substrates via NMF. After NMF deconvolution, image segmentation was also successfully accomplished in all data sets via <i>k</i>-means clustering. To the best of our knowledge, this is the <i>first</i> report utilizing the combination of two unsupervised machine learning methodologies, combining NMF and <i>k</i>-means, for the rapid deconvolution and segmentation of biopharmaceutical resins. As such, we offer a powerful new data-rich experimentation tool for application across multidisciplinary fields for a deeper understanding of resins.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and Evaluation of [68Ga]Ga-Labeled Riboflavin Derivative for RFVT3-Targeted PET Imaging of Melanoma in Mice","authors":"Yuanyuan Liang, Xueqi Wang, Yingxi Chen, Xinying Zeng, Jia Liu, Zuoquan Zhao, Hongzhang Yang, Qinglin Zhang, Jindian Li, Zhide Guo, Xianzhong Zhang","doi":"10.1021/acs.molpharmaceut.4c00209","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00209","url":null,"abstract":"The limited progress in treatment options and the alarming survival rates in advanced melanoma emphasize the significant research importance of early melanoma diagnosis. RFVT3, a crucial protein at the core of energy metabolism reprogramming in melanoma, might play a pivotal role in early detection. In this study, [⁶⁸Ga]Ga-NOTA-RF, based on riboflavin (RF), was rationally developed and validated, serving as an innovative tool for positron emission tomography (PET) imaging of RFVT3 expression in melanoma. The <i>in vitro</i> assays of RFVT3 specificity of [⁶⁸Ga]Ga-NOTA-RF were performed on B16F10 melanoma cells. Then, PET imaging of melanoma was investigated in B16F10 allograft mouse models with varying volumes. Biodistribution studies are used to clarify the behavior of [⁶⁸Ga]Ga-NOTA-RF <i>in vivo</i>. [⁶⁸Ga]Ga-NOTA-RF was obtained with high radiochemical purity (&gt;95%). A significant uptake (37.79 ± 6.86%, <i>n</i> = 4) of [⁶⁸Ga]Ga-NOTA-RF was observed over time in B16F10 melanoma cells, which was significantly inhibited by RFVT3 inhibitors RF or methylene blue (MB), demonstrating the specific binding of [⁶⁸Ga]Ga-NOTA-RF. At 60 min postinjection, the tumor-to-muscle (T/M) ratio of [⁶⁸Ga]Ga-NOTA-RF was 4.03 ± 0.34, higher than that of the RF-blocked group (2.63 ± 0.19) and MB-blocked group (2.14 ± 0.20). The T/M ratios for three distinct tumor volumes-small (5 mm), medium (10 mm), and large (15 mm) were observed to be 5.25 ± 0.28, 4.03 ± 0.34, and 3.19 ± 0.55, respectively. The expression of RFVT3 was validated by immunohistochemical staining in various tumor models, with small B16F10 tumors exhibiting the highest expression. [⁶⁸Ga]Ga-NOTA-RF demonstrates promising properties for the early diagnosis of melanoma and the examination of minute metastatic lesions, indicating its potential to assist in guiding clinical treatment decisions.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enteroids to Study Pediatric Intestinal Drug Transport","authors":"Eva J. Streekstra, Marit Keuper-Navis, Jeroen J. M. W. van den Heuvel, Petra van den Broek, Martijn W. J. Stommel, Willem de Boode, Sanne Botden, Sander Bervoets, Luke O’Gorman, Rick Greupink, Frans G. M. Russel, Evita van de Steeg, Saskia N. de Wildt","doi":"10.1021/acs.molpharmaceut.4c00339","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00339","url":null,"abstract":"Intestinal maturational changes after birth affect the pharmacokinetics (PK) of drugs, having major implications for drug safety and efficacy. However, little is known about ontogeny-related PK patterns in the intestine. To explore the accuracy of human enteroid monolayers for studying drug transport in the pediatric intestine, we compared the drug transporter functionality and expression in enteroid monolayers and tissue from pediatrics and adults. Enteroid monolayers were cultured of 14 pediatric [median (range) age: 44 weeks (2 days–13 years)] and 5 adult donors, in which bidirectional drug transport experiments were performed. In parallel, we performed similar experiments with tissue explants in Ussing chamber using 11 pediatric [median (range) age: 54 weeks (15 weeks–10 years)] and 6 adult tissues. Enalaprilat, propranolol, talinolol, and rosuvastatin were used to test paracellular, transcellular, and transporter-mediated efflux by P-gp and breast cancer resistance protein (BCRP), respectively. In addition, we compared the expression patterns of ADME-related genes in pediatric and adult enteroid monolayers with tissues using RNA sequencing. Efflux transport by P-gp and BCRP was comparable between the enteroids and tissue. Efflux ratios (ERs) of talinolol and rosuvastatin by P-gp and BCRP, respectively, were higher in enteroid monolayers compared to Ussing chamber, likely caused by experimental differences in model setup and cellular layers present. Explorative statistics on the correlation with age showed trends of increasing ER with age for P-gp in enteroid monolayers; however, it was not significant. In the Ussing chamber setup, lower enalaprilat and propranolol transport was observed with age. Importantly, the RNA sequencing pathway analysis revealed that age-related variation in drug metabolism between neonates and adults was present in both enteroids and intestinal tissue. Age-related differences between 0 and 6 months old and adults were observed in tissue as well as in enteroid monolayers, although to a lesser extent. This study provides the first data for the further development of pediatric enteroids as an in vitro model to study age-related variation in drug transport. Overall, drug transport in enteroids was in line with data obtained from ex vivo tissue (using chamber) experiments. Additionally, pathway analysis showed similar PK-related differences between neonates and adults in both tissue and enteroid monolayers. Given the challenge to elucidate the effect of developmental changes in the pediatric age range in human tissue, intestinal enteroids derived from pediatric patients could provide a versatile experimental platform to study pediatric phenotypes.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antitumor Effect of Oleoyl-siRNA against Pancreatic Cancer Using a Portal Vein Infusion Liver-Metastatic Mouse Model","authors":"Takanori Kubo, Kazuyoshi Yanagihara, Yoshio Nishimura, Yuki Iino, Teruo Komatsu, Rina Tansou, Keichiro Mihara, Toshio Seyama","doi":"10.1021/acs.molpharmaceut.4c00502","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00502","url":null,"abstract":"In this study, we developed an oleoyl-siRNA conjugate in which oleic acid was conjugated at the 5′-end of the sense strand of the siRNA. Furthermore, we examined the effects of RNAi in a mouse model of pancreatic cancer with liver metastasis. The mouse model of pancreatic cancer with liver metastasis was developed by implanting Sui67Luc human pancreatic cancer cells into the portal veins of mice. Sui67Luc cells have high expression of tumor-related genes such as β<i>-catenin</i>, <i>vascular endothelial growth factor</i>, and <i>programmed cell death ligand-1</i>. All genes were knocked down using siRNA, among which siRNA targeting β<i>-catenin</i> exhibited the most suitable RNAi effect. Therefore, we investigated the <i>in vitro</i> RNAi effect of oleoyl-siRNA (Ole-siRNA) targeting the β<i>-catenin</i> gene in Sui67Luc cells and found that it was stronger than that of unmodified siRNA. For <i>in vivo</i> experiments, we investigated the biodistribution, antitumor effect, and change in life expectancy of mice upon systemic administration of Ole-siRNA complexed with Invivofectamine 3.0 (IVF). In terms of biodistribution, the Ole-siRNA/IVF complex likely accumulates in the liver of mice. The antitumor effect of Ole-siRNA in a portal vein infusion liver-metastatic Sui67Luc tumor mouse model was evaluated using an <i>in vivo</i> imaging system. Ole-siRNA had a significant antitumor effect compared with nonmodified siRNA. In addition, mice with metastatic liver Sui67Luc tumors treated with Ole-siRNA showed increased survival. These results suggest that Ole-siRNAs are useful novel RNAi molecules for treating pancreatic cancer and liver metastasis.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Chemo-Immunotherapeutic Roles of Tumor-Derived Extracellular Vesicle-Based Paclitaxel Delivery System in Hepatocarcinoma","authors":"Yanghui Bi, Jieya Chen, Yan Li, Bin Song, Qing Li, Tong Zhou, Fajia Yuan, Jintao Wang, Ruiping Zhang","doi":"10.1021/acs.molpharmaceut.4c00514","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00514","url":null,"abstract":"As a first-line chemotherapeutic agent, albumin-bound paclitaxel (PA) has a considerable effect on the treatment of various cancers. However, in chemotherapy for hepatocarcinoma, the sensitivity to PA is low owing to the innate resistance of hepatocarcinoma cells; the toxicity and side effects are severe, and the clinical treatment impact is poor. In this study, we present a unique nanodrug delivery system. The ultraviolet (UV)-induced tumor-cell-derived extracellular vesicles (EVs) were isolated and purified by differential centrifugation. Then, PA was loaded by coextrusion to create a vesicle drug delivery system (EVPA). By employing the EV-dependent enhanced retention effect and specific homing effect, EVPA would passively and actively target tumor tissues, activate the immune response to release PA, and achieve the combination therapeutic effect of chemo-immunotherapy on hepatocarcinoma. We demonstrated that the tumor-killing effect of EVPA is superior to that of PA, both in vivo and in vitro and that EVPA can be effectively taken up by hepatocarcinoma and dendritic cells, activate the body’s specific immune response, promote the infiltration of CD4+ and CD8+ T cells in tumor tissues, and exert a precise killing effect on hepatocarcinoma cells via chemo-immunotherapy.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Perspective on the Permeability of Cocrystals/Organic Salts of Oral Drugs","authors":"Ali Samie, Hoda Alavian","doi":"10.1021/acs.molpharmaceut.4c00786","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00786","url":null,"abstract":"According to the BCS classification system, the differentiation of drugs is based on two essential parameters of solubility and permeability, meaning the latter is as pivotal as the former in creating marketable pharmaceutical products. Nevertheless, the indispensable role of permeability in pharmaceutical cocrystal profiles has not been sufficiently cherished, which can be most probably attributed to two principal reasons. First, responsibility may be on more user-friendly <i>in vitro</i> measurement procedures for solubility compared to permeability, implying the permeability measurement process seems unexpectedly difficult for researchers, whereas they have a complete understanding of solubility concepts and experiments. Besides, it may be ascribed to the undeniable attraction of introducing new crystal-based structures which mostly leaves the importance of improving the function of existing multicomponents behind. Bringing in new crystalline entities, to rephrase it, researchers have a fairly better chance of achieving high-class publications. Although the Food and Drug Administration (FDA) has provided a golden opportunity for pharmaceutical cocrystals to straightforwardly enter the market by simply considering them as derivatives of the existing active pharmaceutical ingredients, inattention to assessing and scaling up permeability which is intimately linked with solubility has resulted in limited numbers of them in the global pharmaceutical market. Casting a glance at the future, it is apprehended that further development in the field of permeability of pharmaceutical cocrystals and organic salts requires a meticulous perception of achievements to date and potentials to come. Thence, this perspective scrutinizes the pathway of permeation assessment making researchers confront their fear upfront through mapping the simplest way of permeability measurement for multicomponents of oral drugs.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Data Quality and Data Quantity on the Estimation of Intrinsic Solubility: Analysis Based on a Single-Source Data Set","authors":"Jiaxi Zhao, Eline Hermans, Kia Sepassi, Christophe Tistaert, Christel A. S. Bergström, Mazen Ahmad, Per Larsson","doi":"10.1021/acs.molpharmaceut.4c00685","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00685","url":null,"abstract":"Aqueous solubility is one of the most important physicochemical properties of drug molecules and a major driving force for oral drug absorption. To date, the performance of in silico models for the estimation of solubility for novel chemical space is limited. To investigate possible reasons and remedies for this, the Johnson and Johnson in-house aqueous solubility data with over 40,000 compounds was leveraged. All data were generated through the same high-throughput assay, providing a unique opportunity to explore the relationship between data quality, quantity, and model estimations. Six intrinsic solubility data sets with different sizes and noise levels were generated by making use of three different approaches: (i) inclusion or exclusion of amorphous solid residue, (ii) measured or experimental log <i>D</i> to identify the intrinsic solubility, and (iii) adopting or omitting a quality check process in the data processing workflow. A random forest regressor was trained on the data sets with three different sets of descriptors calculated from RDKit, ADMET predictor, or Mordred, and the performances were evaluated with nested cross-validation as well as ten refined test sets. The models confirm, as expected, that with the same data set size, high-quality data leads to better model performance; however, also, models trained with larger data sets containing analytical variability can give equally accurate estimations compared to models trained with small, clean, and diverse data sets. However, noise introduced by including the presence of amorphous solid postsolubility measurement in the training data set cannot be overcome by increasing data size, as they are introducing a biased systematic positive error in the data set, confirming the importance of critical data review. Finally, two top-performing models were tested on the first test set from the second solubility challenge, achieving RMSE values of 0.74 and 0.72 and log <i>S</i> ± 0.5 of 46 and 48%, respectively. These results demonstrated improved performance compared to those reported in the findings of the competition, highlighting that a single-source curated data set can enhance the prediction of intrinsic solubility.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the Influence of Copovidone Properties and Hot-Melt Extrusion Process on Level of Impurities, In Vitro Release, and Stability of an Amorphous Solid Dispersion Product","authors":"Isha Saraf, Ognen Jakasanovski, Tijana Stanić, Eva Kralj, Boštjan Petek, Jason D. Williams, Neshchadin Dmytro, Gescheidt Georg, Werner Bernd, Zangger Klaus, Petra Perhavec, Ilija German Ilić, Amrit Paudel, Varun Kushwah","doi":"10.1021/acs.molpharmaceut.4c00707","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00707","url":null,"abstract":"Hot-melt extrusion (HME) is a widely used method for creating amorphous solid dispersions (ASDs) of poorly soluble drug substances, where the drug is molecularly dispersed in a solid polymer matrix. This study examines the impact of three different copovidone excipients, their reactive impurity levels, HME barrel temperature, and the distribution of colloidal silicon dioxide (SiO₂) on impurity levels, stability, and drug release of ASDs and their tablets. Initial peroxide levels were higher in Kollidon VA 64 (KVA64) and Plasdone S630 (PS630) compared to Plasdone S630 Ultra (PS630U), leading to greater oxidative degradation of the drug in fresh ASD tablets. However, stability testing (50 °C, closed container, 50 °C/30% RH, open conditions) showed lower oxidative degradation impurities in ASD tablets prepared at higher barrel temperatures, likely due to greater peroxide degradation. Plasdone S630 is suitable for ASDs with drugs prone to oxidative degradation, while standard purity grades may benefit drugs susceptible to free radical degradation, as they generate fewer free radicals post-HME. ASD tablets exhibited greater physical stability than milled extrudate samples, likely due to reduced exposure to stability conditions within the tablet matrix. Including SiO₂ in the extrudate composition resulted in greater physical stability of the ASD system in the tablet; however, it negatively affected chemical stability, promoting greater oxidative degradation and hydroxylation of the drug substance. No impact of the distribution of SiO₂ on drug release was observed. The study also confirmed the congruent release of copovidone, the drug substance, and Tween 80 using flow NMR coupled with in-line UV/vis. This research highlights the critical roles of peroxide levels and SiO₂ in influencing the dissolution and physical and chemical stability of ASDs. The findings provide valuable insights for developing stable and effective pharmaceutical formulations, emphasizing the importance of controlling reactive impurities and excipient characteristics in ASD products prepared by using HME.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142199978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of Dissolving Microneedle-Based Transdermal Drug Delivery: Effects of Dynamics of Polymers in Solution","authors":"Prateek R. Yadav, Pratinav Hingonia, Diganta B. Das, Sudip K. Pattanayek","doi":"10.1021/acs.molpharmaceut.4c00492","DOIUrl":"https://doi.org/10.1021/acs.molpharmaceut.4c00492","url":null,"abstract":"Dissolving microneedle (DMN)-assisted transdermal drug delivery (TDD) has received attention from the scientific community in recent years due to its ability to control the rate of drug delivery through its design, the choice of polymers, and its composition. The dissolution of the polymer depends strongly on the polymer–solvent interaction and polymer physics. Here, we developed a mathematical model based on the physicochemical parameters of DMNs and polymer physics to determine the drug release profiles. An annular gap width is defined when the MN is inserted in the skin, accumulating interstitial fluid (ISF) from the surrounding skin and acting as a boundary layer between the skin and the MN. Poly(vinylpyrrolidone) (PVP) is used as a model dissolving polymer, and ceftriaxone is used as a representative drug. The model agrees well with the literature data for <i>ex vivo</i> permeation studies, along with the percent height reduction of the MN. Based on the suggested mathematical model, when loading 0.39 mg of ceftriaxone, the prediction indicates that approximately 93% of the drug will be cleared from the bloodstream within 24 h. The proposed modeling strategy can be utilized to optimize drug transport behavior using DMNs.","PeriodicalId":52,"journal":{"name":"Molecular Pharmaceutics","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}