Rational design of polymeric micelles for targeted therapeutic delivery

Nano Today, Journal Year: 2024, Volume and Issue: 55, P. 102147 - 102147

Published: Jan. 18, 2024

Language: Английский

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Biodegradable and Stimuli-Responsive Nanomaterials for Targeted Drug Delivery in Autoimmune Diseases

Journal of Functional Biomaterials, Journal Year: 2025, Volume and Issue: 16(1), P. 24 - 24

Published: Jan. 14, 2025

Autoimmune diseases present complex therapeutic challenges due to their chronic nature, systemic impact, and requirement for precise immunomodulation avoid adverse side effects. Recent advancements in biodegradable stimuli-responsive nanomaterials have opened new avenues targeted drug delivery systems capable of addressing these challenges. This review provides a comprehensive analysis state-of-the-art nanocarriers such as polymeric nanoparticles, liposomes, hydrogels engineered autoimmune therapies. These are designed degrade safely the body while releasing agents response specific stimuli, including pH, temperature, redox conditions, enzymatic activity. By achieving localized controlled release anti-inflammatory immunosuppressive agents, minimize toxicity enhance efficacy. We discuss underlying mechanisms nanomaterials, recent applications treating rheumatoid arthritis, multiple sclerosis, inflammatory bowel disease, design considerations essential clinical translation. Additionally, we address current challenges, biocompatibility, scalability, regulatory hurdles, well future directions integrating advanced nanotechnology with personalized medicine treatment. highlights transformative potential presenting them promising strategy advance precision improve patient outcomes disease management.

Language: Английский

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Instance maps as an organising concept for complex experimental workflows as demonstrated for (nano)material safety research

Beilstein Journal of Nanotechnology, Journal Year: 2025, Volume and Issue: 16, P. 57 - 77

Published: Jan. 22, 2025

Nanosafety assessment, which seeks to evaluate the risks from exposure nanoscale materials, spans materials synthesis and characterisation, science, toxicology, computational approaches, resulting in complex experimental workflows diverse data types. Managing flows, with a focus on provenance (who generated for what purpose) quality (how was generated, using protocol controls), as part of good research output management, is necessary maximise reuse potential value data. Instance maps have been developed evolved visualise nanosafety bridge gap between theoretical principles FAIR (Findable, Accessible, Interoperable Re-usable) everyday practice researchers. are most effective when applied at study design stage associate workflow nanomaterials, environmental conditions, method descriptions, protocols, biological models be used, flows arising execution. Application InstanceMaps tool (described herein) increasing complexity presented demonstrate its utility, starting (i) documentation nanomaterial’s synthesis, functionalisation, over (ii) assessment transformations media, (iii) description culturing ecotoxicity model organisms Daphnia magna their use standardised tests nanomaterials (iv) visualisation human immunotoxicity cell lines primary cellular models, (v) instance map approach coordination multipartner collaborative projects demonstration case studies. Finally, areas future development highlighted.

Language: Английский

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Molecular dynamics in pharmaceutical nanotechnology: simulating interactions and advancing applications

Journal of Biomaterials Science Polymer Edition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: Jan. 9, 2025

Molecular Dynamics (MD) simulations are now widely utilized in pharmaceutical nanotechnology to gain deeper understanding of nanoscale processes imperative drug design. This review has also detailed how MD simulation can be employed the study drug-nanocarrier interactions, controlling release chemical compounds from delivery systems and increasing solubility bioavailability nanocarriers. Furthermore, contributes examining systems, measuring toxic effects, determining biocompatibility nanomedical systems. With incorporation artificial intelligence use hybrid gone a step ahead model other niches biology that make tremendous opening develop highly selective nanomedications. Nevertheless, with well-known issues such as computational constraints discrepancy between silico experiment results, remains work progress, considerable promise for replacing or supplementing existing approaches development precision medicine nanomedicine, continued progression healthcare hopeful.

Language: Английский

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Evaluation of a bioprinted 3D airway tissue model for toxicity testing of nanomaterials; Pathway to integration into a tiered testing strategy for hazard assessment to support safety-by-design

Nano Today, Journal Year: 2025, Volume and Issue: 61, P. 102655 - 102655

Published: Feb. 3, 2025

Language: Английский

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Recent approaches in nanotoxicity assessment for drug delivery applications: Challenges and prospects

Medicine in Drug Discovery, Journal Year: 2025, Volume and Issue: unknown, P. 100204 - 100204

Published: Feb. 1, 2025

Language: Английский

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Immunotoxicity of nanomaterials in health and disease: Current challenges and emerging approaches for identifying immune modifiers in susceptible populations

Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology, Journal Year: 2022, Volume and Issue: 14(6)

Published: Nov. 1, 2022

Abstract Nanosafety assessment has experienced an intense era of research during the past decades driven by a vivid interest regulators, industry, and society. Toxicological assays based on in vitro cellular models have undergone evolution from experimentation using nanoparticulate systems singular epithelial cell to employing advanced complex more realistically mimicking respective body barriers for analyzing their capacity alter immune state exposed individuals. During this phase, number lessons were learned. We thus arrived at where next chapters be opened, pursuing following objectives: (1) elucidate underlying mechanisms, (2) address effects vulnerable groups, (3) test material mixtures, (4) use realistic doses (5) sophisticated models. Moreover, data reproducibility become significant demand. In context, we studied emerging concept adverse outcome pathways (AOPs) perspective activation modulation resulting pro‐inflammatory versus tolerogenic responses. When considering interaction nanomaterials with biological systems, protein corona formation represents relevant molecular initiating event (e.g., potential alterations nanomaterial‐adsorbed proteins). Using as example, illustrate how integrated experimental–computational workflows combining silico aid enrichment upon comprehensive ontology‐annotated (meta)data upload online repositories assure FAIRness (Findability, Accessibility, Interoperability, Reusability). Such digital twinning may, future, assist early‐stage decision‐making therapeutic development, hence, promote safe‐by‐design innovation nanomedicine. it combination silico‐based exposure‐relevant dose‐finding, serve risk monitoring particularly loaded areas, workplaces, taking into account pre‐existing health conditions. This article is categorized under: Toxicology Regulatory Issues Nanomedicine > Nanomaterials

Language: Английский

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Threats of per- and poly-fluoroalkyl pollutants to susceptible populations

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171188 - 171188

Published: Feb. 22, 2024

Language: Английский

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Advancing Cancer Drug Delivery with Nanoparticles: Challenges and Prospects in Mathematical Modeling for In Vivo and In Vitro Systems

Cancers, Journal Year: 2025, Volume and Issue: 17(2), P. 198 - 198

Published: Jan. 9, 2025

Mathematical models are crucial for predicting the behavior of drug conjugate nanoparticles and optimizing delivery systems in cancer therapy. These simulate interactions among nanoparticle properties, tumor characteristics, physiological conditions, including resistance targeting specificity. However, they often rely on assumptions that may not accurately reflect vivo conditions. In vitro studies, while useful, fully capture complexities environment, leading to an overestimation nanoparticle-based therapy effectiveness. Advancements mathematical modeling, supported by preclinical data artificial intelligence, vital refining therapies improving their translation into effective clinical treatments.

Language: Английский

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Biochar for mitigating pharmaceutical pollution in wastewater: A sustainable solution

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 966, P. 178743 - 178743

Published: Feb. 1, 2025

Language: Английский

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