Cited by Iron-Responsive Nanoparticle-Loaded Bilayer Dissolving Microneedles for Selective and Controlled Transdermal Delivery of Deferasirox in β-Thalassemia Major Treatment

Development of Pluronic-Based Micelles from Palm Oil Bioactive Compounds Incorporated by a Dissolvable Microarray Patch to Enhance the Efficacy of Atopic Dermatitis Therapy DOI

Khusnul Humayatul Jannah,

Christopher Kosasi Ko,

Felicia Virginia Thios

et al.

Molecular Pharmaceutics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

The high content of vitamin E, including tocopherols and tocotrienols (TCF-TTE), in palm oil (Elaeis guineensis) has made it a promising candidate for the alternative treatment atopic dermatitis (AD). However, limited solubility TCF-TTE restricted its therapeutic efficacy. In this study, pluronic-based micelles (MCs) encapsulating oil-derived were formulated with dissolvable microarray patch-micelles (DMP-MC) using carboxymethyl cellulose (CMC) synthesized from empty fruit bunches to optimize delivery AD. MC was prepared direct dissolution method Pluronic F68 F127. results showed that increased TCF-TTE, which further confirmed by an vitro study where 90.23 ± 2.07% TCF 4.56 1.36% TTE released compared unencapsulated extract. Furthermore, CMC biopolymers integrated into DMP-MC polyvinylpyrrolidone (PVP) exhibited favorable physical properties, such as mechanical strength penetration ability. also better platform lower permeation, indicating higher retention localized effects on AD skin than cream-MC. Additionally, dermatokinetic profile parameters significant improvement. mean residence time (MRT) parameter indicated retained longer times 19.28 0.02 h 20.68 0.01 h. Moreover, vivo revealed could relieve symptoms more rapidly oral doses cream-MC, proved be efficient. no tissue destruction (granulation fibrosis) rats treated seventh day. Therefore, successfully developed formula formulation CMC, potentially improve AD's

Language: Английский

Citations

Natural polysaccharide-based nanodrug delivery systems for targeted treatment of rheumatoid arthritis: A review DOI

Devesh Kumar,

Shubham Pandey,

Brijesh Shivhare

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 143408 - 143408

Published: April 1, 2025

Language: Английский

Citations

Application of validated UV–Vis spectrophotometry-colorimetric methods for specific quantification of deferiprone in the development of iron-responsive nanoparticle loaded into dissolving microneedle DOI

Sitti Nur Khadijah Maharani,

Muh. Taufik Hidayat,

Indianty Dwi Ramadhany

et al.

Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(10)

Published: Sept. 10, 2024

Language: Английский

Citations

AI-Driven Innovation in Skin Kinetics for Transdermal Drug Delivery: Overcoming Barriers and Enhancing Precision DOI

Nubul Albayati,

Sesha Rajeswari Talluri,

Nirali Dholaria

et al.

Pharmaceutics, Journal Year: 2025, Volume and Issue: 17(2), P. 188 - 188

Published: Feb. 2, 2025

Transdermal drug delivery systems (TDDS) offer an alternative to conventional oral and injectable administration by bypassing the gastrointestinal tract liver metabolism, improving bioavailability, minimizing systemic side effects. However, widespread adoption of TDDS is limited challenges such as skin’s permeability barrier, particularly stratum corneum, need for optimized formulations. Factors like skin type, hydration levels, age further complicate development universally effective solutions. Advances in artificial intelligence (AI) address these through predictive modeling personalized medicine approaches. Machine learning models trained on extensive molecular datasets predict accelerate selection suitable candidates. AI-driven algorithms optimize formulations, including penetration enhancers advanced technologies microneedles liposomes, while ensuring safety efficacy. Personalized design tailors individual patient profiles, enhancing therapeutic precision. Innovative systems, sensor-integrated patches, dynamically adjust release based real-time feedback, optimal outcomes. AI also streamlines pharmaceutical process, from disease diagnosis prediction distribution layers, enabling efficient formulation development. This review highlights AI’s transformative role TDDS, applications Deep Neural Networks (DNN), Artificial (ANN), BioSIM, COMSOL, K-Nearest Neighbors (KNN), Set Covering (SVM). These revolutionize both non-skin diseases, demonstrating potential overcome existing barriers improve care innovative

Language: Английский

Citations

Controlled release of deferiprone using iron-responsive nanoparticles integrated with dissolving microneedle for novel alternative treatments of β-thalassemia major DOI

Muh. Taufik Hidayat,

Sitti Nur Khadijah Maharani,

Indianty Dwi Ramadhany

et al.

European Journal of Pharmaceutics and Biopharmaceutics, Journal Year: 2025, Volume and Issue: unknown, P. 114702 - 114702

Published: March 1, 2025

Language: Английский

Citations

Validation of Spectrophotometric and Colorimetric Method for the Specific Quantification of Sofosbuvir From Luminar Capsule Microneedle in Liver Tissue Through Ex Vivo and In Vivo Applications DOI

Abigael Alik Samma,

Christopher Kosasi Ko,

M. Sahra

et al.

Annales Pharmaceutiques Françaises, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

Iron-Responsive Nanoparticle-Loaded Bilayer Dissolving Microneedles for Selective and Controlled Transdermal Delivery of Deferasirox in β-Thalassemia Major Treatment DOI

Andi Dian Permana,

Sitti Nurkhadijah Maharani,

Anugerah Yaumil Ramadhani Aziz

et al.

Colloids and Surfaces B Biointerfaces, Journal Year: 2024, Volume and Issue: 247, P. 114416 - 114416

Published: Nov. 30, 2024

Language: Английский

Citations