Fabrication, Optimization, and Evaluation of Paclitaxel and Curcumin Coloaded PLGA Nanoparticles for Improved Antitumor Activity DOI Creative Commons
Haiyang Hu, Zuyue Liao,

Mengyao Xu

et al.

ACS Omega, Journal Year: 2022, Volume and Issue: 8(1), P. 976 - 986

Published: Dec. 28, 2022

Codelivery of chemotherapeutic drugs in nanoparticles can enhance the therapeutic effects against tumors. However, their anticancer properties and physiochemical characteristics be severely influenced by many formulation parameters during preparation process. It is a complicated development phase to select optimal for based on commonly used one single parameter method, which consumes lot money, time, effort, sometimes even fails. Therefore, statistical analysis Box-Behnken design (BBD) has attracted much attention bioengineering fields because it illustrate influence parameters, build mathematical models, predict combinational factors decreased number experiments. In this study, we three-factor three-level BBD optimize poly(lactic-co-glycolic acid) (PLGA) coloaded with two curcumin paclitaxel (PLGA-CUR-PTX nanoparticles). The surfactant concentration, polymer oil-water ratio were selected as independent variables. An optimized model PLGA-CUR-PTX was validated. possessed uniform spherical shape, an average size 99.94 nm, drug encapsulation efficiencies CUR PTX 63.53 80.64%, respectively. release from showed biphasic behavior, mechanism via diffusion fundamentally quasi-Fickian diffusion. demonstrated enhanced cytotoxicity effect lower IC50 values 4T1 MCF-7 breast cancer cell lines compared free drugs. summary, optimization yielded favorable carrier that holds potential alternative treatment therapy.

Language: Английский

Using Response Surface Methodology (RSM) to optimize 2G bioethanol production: A review DOI Creative Commons
Lucas Matheus Soares Pereira, Thaís Moré Milan, Delia Rita Tapia‐Blácido

et al.

Biomass and Bioenergy, Journal Year: 2021, Volume and Issue: 151, P. 106166 - 106166

Published: June 26, 2021

Language: Английский

Citations

135
Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy DOI Creative Commons
Saber İmani, Xiaoyan Li,

Keyi Chen

et al.

Frontiers in Cellular and Infection Microbiology, Journal Year: 2025, Volume and Issue: 14

Published: Jan. 20, 2025

Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, requiring optimal design to elicit a robust targeted immune response. Recent advancements in bioinformatics artificial intelligence (AI) have significantly enhanced the design, prediction, optimization of mRNA vaccines. This paper reviews technologies that streamline vaccine development, from genomic sequencing lipid nanoparticle (LNP) formulation. We discuss how accurate predictions neoantigen structures guide sequences effectively target cells. Furthermore, we examine AI-driven approaches optimize mRNA-LNP formulations, enhancing delivery stability. These technological innovations not only improve but also enhance pharmacokinetics pharmacodynamics, offering promising avenues personalized immunotherapy.

Language: Английский

Citations

10
Chitosan-coated nanostructured lipid carriers for transdermal delivery of tetrahydrocurcumin for breast cancer therapy DOI

Thien Hoang Truong,

Khent Primo Alcantara, Bryan Paul I. Bulatao

et al.

Carbohydrate Polymers, Journal Year: 2022, Volume and Issue: 288, P. 119401 - 119401

Published: March 24, 2022

Language: Английский

Citations

65
Application of Design of Experiments in the Development of Self-Microemulsifying Drug Delivery Systems DOI Creative Commons
Chien‐Ming Hsieh,

Ting-Lun Yang,

Athika Darumas Putri

et al.

Pharmaceuticals, Journal Year: 2023, Volume and Issue: 16(2), P. 283 - 283

Published: Feb. 13, 2023

Oral delivery has become the route of choice among all other types drug administrations. However, typical chronic disease drugs are often poorly water-soluble, have low dissolution rates, and undergo first-pass metabolism, ultimately leading to bioavailability lack efficacy. The lipid-based formulation offers tremendous benefits using versatile excipients great compatibility with dosage forms. Self-microemulsifying system (SMEDDS) promotes self-emulsification in a combination oil, surfactant, co-surfactant, thereby facilitating better solubility absorption. feasible preparation SMEDDS creates promising strategy improve drawbacks lipophilic administered orally. Selecting decent mixing these components is, therefore, importance for successful SMEDDS. Quality by Design (QbD) brings systematic approach development, it promise significantly manufacturing quality performance Furthermore, could be benefited efficiently conducting pre-formulation studies integrated statistical design experiment (DoE). In this review, we highlight recent findings development microemulsions DoE methods optimize formulations different controllable ratios. A brief overview concepts is discussed, along its technical improving formulations.

Language: Английский

Citations

30
Subcutaneous drug delivery from nanoscale systems DOI
Lorenzo Tomasini,

Marianne Ferrere,

Julien Nicolas

et al.

Nature Reviews Bioengineering, Journal Year: 2024, Volume and Issue: 2(6), P. 501 - 520

Published: March 19, 2024

Language: Английский

Citations

15
New perspectives on arteriosclerosis treatment using nanoparticles and mesenchymal stem cells DOI Creative Commons
Simin Farokhi,

ZahraSadat Razavi,

Maryamosadat Mavaei

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 6(8)

Published: July 29, 2024

Abstract Arteriosclerosis (AS) presents a significant global health challenge, demanding innovative therapeutic strategies. This review explores the potential of nanoparticles (NPs) and mesenchymal stem cells (MSCs) as promising modalities for treating AS. NPs enable targeted drug delivery, while MSCs possess immunomodulatory regenerative capabilities. We discuss recent advances in NP-based delivery systems tailored AS treatment highlight MSCs’ roles modulating inflammation promoting vascular repair. Additionally, we examine synergistic effects combining enhanced outcomes. Furthermore, this paper provides insights into targeting endothelial cells, T-cells, macrophages, lipid levels, plaques using MSCs. It also reviews various types metal-based non-metallic utilized therapy. comprehensive overview underscores synergies between cardiovascular disease therapy, emphasizing need further research to fully realize their implications. Graphical

Language: Английский

Citations

14
Navigating translational research in nanomedicine: A strategic guide to formulation and manufacturing DOI Creative Commons
Xinyue Zhang, Ho Wan Chan,

Zitong Shao

et al.

International Journal of Pharmaceutics, Journal Year: 2025, Volume and Issue: 671, P. 125202 - 125202

Published: Jan. 10, 2025

Over the past two decades, extensive research has focused on both fundamental and applied aspects of nanomedicine, driven by compelling advantages that nanoparticles offer over their bulk counterparts. Despite this intensive effort, fewer than 100 nanomedicines have been approved U.S. Food Drug Administration European Medicines Agency since 1989. This disparity highlights a substantial gap in translational research, reflecting disconnect between prolific nanomedicine limited number products successfully reach sustain themselves market. For instance, DepoCyt, which received FDA approval 1999 for treatment lymphomatous meningitis, was discontinued 2017 due to persistent manufacturing issues. To address similar challenges, review aims identify analyse issues related formulation design nanomedicines. It provides an overview most prevalent technologies excipients used production, followed critical evaluation clinical translatability. Furthermore, presents strategies rational optimization manufacturing, adhering principles quality-by-design quality risk management.

Language: Английский

Citations

2
Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling DOI
Shan He,

Ander Barón,

Cristian R. Munteanu

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 12, 2025

Magnetic nanoparticles (NPs) are gaining significant interest in the field of biomedical functional nanomaterials because their distinctive chemical and physical characteristics, particularly drug delivery magnetic hyperthermia applications. In this paper, we experimentally synthesized characterized new Fe3O4-based NPs, functionalizing its surface with a 5-TAMRA cadaverine modified copolymer consisting PMAO PEG. Despite these advancements, many combinations NP cores coatings remain unexplored. To address this, created data set systems from public sources. Herein, 11 different AI/ML algorithms were used to develop predictive models. The linear discriminant analysis (LDA) random forest (RF) models showed high values sensitivity specificity (>0.9) training/validation series 3-fold cross validation, respectively. able predict 14 output properties (CC50 (μM), EC50 inhibition (%), etc.) for all 54 classes vs. 25 coats 41 cell lines, allowing short listing best results experimental assays. work may help reduce cost traditional trial error procedures.

Language: Английский

Citations

2
Folic acid-modified curcumin-loaded liposomes for breast cancer therapy DOI
Marcela Tavares Luiz, Jessyca Aparecida Paes Dutra, Taís de Cássia Ribeiro

et al.

Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2022, Volume and Issue: 645, P. 128935 - 128935

Published: April 4, 2022

Language: Английский

Citations

39
Study of sonication parameters on PLA nanoparticles preparation by simple emulsion-evaporation solvent technique DOI Creative Commons
Esneyder Ruiz, Víctor H. Orozco,

Lina M. Hoyos

et al.

European Polymer Journal, Journal Year: 2022, Volume and Issue: 173, P. 111307 - 111307

Published: May 25, 2022

The design of polymeric nanoparticles (PNPs) for delivery and controlled release drugs has been increasing in the last decades, where materials such as biocompatible degradable polyesters have advantages. However, it is necessary to control modulate size (NPs) prevent uptake clearance by reticuloendothelial system achieve selective on a pharmaceutical target. In this mediation, modulation particle (PS) polydispersity index (PDI) one most sought parameters. work, study external parameters power, time, cycles sonication preparation with polylactic acid (PLA) simple emulsion-solvent evaporation (SE-SE) technique using ultrasound was carried out. A Box-Behnken method used improve optimize conditions obtaining nanoformulation, which allowed response surfaces figure out effect PS, PDI, ζ-Potential. This showed that main influential parameter PDI followed time sonication, finally, number cycles. statistical model prediction variables obtain diameters between 110 240 nm, 0.09–0.32, ζ-Potential remained relatively constant each experiment an average value −21.0 mV. adequate preparing PNPs are 20% power employed, 20 s two pause 10 pulse when PLA 136 kDa used. optimized NPs were 144.5 ± 0.5 nm 0.1347 0.0064, respectively. Additionally, can develop desired PS nanoformulations excellent homogeneity.

Language: Английский

Citations

36