ABSTRACT
In this study, we report the synthesis and characterization of pH-responsive nanoconjugates for targeted drug delivery. Galactomannan extracted from D. regia seeds was oxidized to form aldehyde groups, achieving a percentage of oxidation of 25.6 %. The resulting oxidized galactomannan (GMOX) was then copolymerized with PINIPAm-NH2, yielding a copolymer. The copolymer exhibited signals from both GMOX and PNIPAm-NH2 in its NMR spectrum, confirming successful copolymerization. Critical association concentration (CAC) studies revealed the formation of nanostructures, with lower CAC values observed at higher temperatures. The copolymer and GMOX reacted with doxorubicin (DOX), resulting in nanoconjugates with controlled drug release profiles, especially under acidic conditions similar to tumor microenvironments. Cytotoxicity assays demonstrated significant efficacy of the nanoconjugates against melanoma cells with reduced toxicity towards healthy cells. These findings underscore the potential of the pH-responsive nanoconjugates as promising candidates for targeted cancer therapy, offering improved therapeutic efficacy and reduced systemic side effects.
Subject(s)
Doxorubicin , Galactose , Mannans , Nanoconjugates , Doxorubicin/pharmacology , Doxorubicin/chemistry , Mannans/chemistry , Mannans/pharmacology , Galactose/chemistry , Galactose/analogs & derivatives , Humans , Nanoconjugates/chemistry , Hydrogen-Ion Concentration , Drug Liberation , Cell Line, Tumor , Drug Carriers/chemistry , Cell Survival/drug effects , Antibiotics, Antineoplastic/pharmacology , Antibiotics, Antineoplastic/chemistry , Antineoplastic Agents/chemistry , Antineoplastic Agents/pharmacologyABSTRACT
In this work we propose an idealized model for competitive cluster growth in complex networks. Each cluster can be thought of as a fraction of a community that shares some common opinion. Our results show that the cluster size distribution depends on the particular choice for the topology of the network of contacts among the agents. As an application, we show that the cluster size distributions obtained when the growth process is performed on hierarchical networks, e.g., the Apollonian network, have a scaling form similar to what has been observed for the distribution of a number of votes in an electoral process. We suggest that this similarity may be due to the fact that social networks involved in the electoral process may also possess an underlining hierarchical structure.
