Our study further showed that the small-molecule drug CMA/BAF can overcome drug resistance by disrupting the interaction between KCNJ15 and the lysosomal system. In summary, KCNJ15's role in breast cancer drug resistance and survival warrants consideration in the selection of treatment approaches.Glioblastoma is understood to be the most aggressive and invasive cerebral tumor in adults. Nonetheless, the current standard treatment's effectiveness is critically compromised by the emergence of drug resistance and the suppressive nature of the immune microenvironment. Cell death via ferroptosis, a newly discovered iron-dependent process, may emerge as a powerful chemosensitizing tool. The anti-tumor activity of glioblastoma can be significantly boosted by the combined application of Erastin, a ferropotosis inducer, and the chemotherapeutic agent Temozolomide. Encapsulation of Temozolomide and Erastin, a ferroptosis-inducing agent, within a hydrogel-liposome nanoplatform was achieved in this study. To target glioblastomas, the codelivery system was modified using the v3 integrin-binding peptide, cyclic RGD. As biocompatible drug reservoirs, cross-linked GelMA (gelatin methacrylamide) hydrogel, coupled with cRGD-coated liposomes, were responsible for the sustained delivery of internal components. In the modified intracranial tumor resection model, a sustained release of Temozolomide and Erastin was achieved by the GelMA-liposome system, lasting more than 14 days in situ. Nanoplatform (T+E@LPs-cRGD+GelMA) enhancement of glioblastoma sensitivity to temozolomide chemotherapy resulted in satisfactory anti-tumor outcomes, as indicated by the results. Research demonstrated that inducing ferroptosis can serve as a therapeutic measure for overcoming drug resistance. Furthermore, transcriptome sequencing was implemented to expose the operative mechanism of the nanoplatform (T+E@LPs-cRGD+GelMA). Research indicates a possible involvement of the GelMA-liposome system in mediating the immune response and immunomodulation within glioblastoma tissue, specifically through the interferon/PD-L1 pathway. Through a collective analysis, this study offered a possible combination therapy for managing glioblastoma.Liposomes are a prevalent drug delivery vehicle, primarily due to their remarkable biodegradability and biocompatibility. Because of the intricate formulation components and the involved preparation methods, formulation screening is predominantly done using the less-than-optimal trial-and-error process. Models that forecast liposome formulations have been developed using machine learning (ML) strategies. Using an optimal machine learning algorithm, liposome characteristics, including size, polydispersity index (PDI), zeta potential, and encapsulation efficiency, are predicted independently. Formulation features are also ranked, offering valuable insights for formulation optimization. Drug molecules featuring logS values within the -3 to -6 range, characterized by molecular complexity between 500 and 1000, and an XLogP3 of 2, are identified by the analysis of key parameters as promising candidates for enhanced liposome encapsulation. ckit signal Naproxen (NAP), an insoluble molecule, and palmatine HCl (PAL), a water-soluble one, were prepared as liposome formulations to test the predictive capability. The alignment of predicted and experimental results underscores the satisfactory accuracy of machine learning models. Given the significance of drug properties to liposome particles, a deeper investigation into the molecular interactions and dynamics of NAP and PAL liposomes is undertaken using coarse-grained molecular dynamics simulations. The modeling framework shows that NAP molecules are able to permeate the lipid layer, while the majority of PAL molecules are concentrated within the inner aqueous space of the liposome. NAP and PAL's differing physical states unequivocally illustrate the necessity of aligning drug properties for effective liposome formulations. In a nutshell, these general prediction models are designed to forecast liposome formulations, while the influence of key factors is investigated via the integration of machine learning with molecular modeling methods. Through this study, the availability and rationality of these intelligent prediction systems have been established, indicating their suitability for future liposome formulation development applications.Immunomodulation, anti-inflammation, and regenerative repair, characteristics of mesenchymal stem cells (MSCs), contribute to their significant effectiveness in cartilage regeneration. Key factors pushing for the increased utilization of these drugs involve successful intra-articular delivery methods and their effective synergy with other therapeutic drugs. We report a hydrogel system, inspired by mussel properties, that can achieve concurrent delivery and synergistic effects of icariin (ICA) and MSC-derived exosomes (Exos). The joint cavity injection system, a collaborative effort of ICA and Exos, is expected to remain situated within the joint space. Its ability to promote cartilage regeneration is predicated on the hydrogel's properties, including thermosensitivity, self-healing capacity, and adhesive qualities, all inspired by the mussel. Exos treatment demonstrably increased cellular ICA uptake by more than two-fold, according to the experimental results, and the synergistic effect of Exos and ICA enhanced cell proliferation and migration. Synergistic treatment led to a reduction of matrix metalloproteinase 13 in the supernatant by 47%, and a decrease of 59% within the intracellular space. Employing a multifunctional hydrogel delivery system, in vivo studies of ICA-loaded Exos displayed extended retention and improved cartilage preservation. A co-delivery hydrogel system, in an osteoarthritis model, prevented cartilage thinning, thereby maintaining an adequate cartilage thickness.Applications for biopolymers, a class of environmentally benign materials, are diverse and promising. Due to their exceptional qualities, including bioactivity, renewability, bioresorbability, biocompatibility, biodegradability, and hydrophilicity, these materials are exceptionally suitable for use in implantable biomedical devices. In advanced healthcare systems, the fabrication of customized biopolymer-based products and structures is facilitated by the flexible and intricate additive manufacturing (AM) technology. 3D-printed sustainable materials are used in functional clinical settings for a range of applications such as wound healing, drug administration, surgical implants, and regenerative tissue. Recent advancements in biopolymers, specifically proteins and polysaccharides, are examined in this review. These biopolymers are employed in a variety of biomedical products manufactured using extrusion, vat polymerization, laser and inkjet 3D printing, along with the more conventional bioprinting and 4D bioprinting techniques. This review further explores the role of nanoparticles in shaping the biological and mechanical performance characteristics of 3D-printed tissue scaffolds. The work's scope includes the present and future issues related to environmentally friendly polymeric materials fabricated via additive manufacturing techniques. For significant advances in targeted biomedical applications, dedicated research focusing on the effective integration of these biodegradable biopolymers is critical. In the near future, 3D-printed composites made from biopolymers show promise for revolutionizing the biomedical sector.In acute liver injury (ALI), the fatality rate is substantial, a consequence of treatments that are either untimely or ineffective. Although schisandrin B (SchB) has been frequently employed in the treatment of various liver disorders, its therapeutic potential in acute lung injury (ALI) was hampered by its high hydrophobicity. Palmitic acid-modified serum albumin (PSA) is not only a powerful delivery vehicle for hydrophobic drugs but also showcases a remarkable targeting ability, specifically binding to scavenger receptor-A (SR-A) on M1 macrophages, thus holding promise as a therapeutic agent for acute lung injury (ALI). PSA's capacity for site-specific drug delivery surpasses that of common macrophage-targeted approaches, leading to a significant reduction in unwanted side effects. Nanoparticles of SchB-PSA were prepared, and their therapeutic consequences for ALI were further studied. SchB-PSA nanoparticles demonstrated a more pronounced cytotoxic effect on lipopolysaccharide-stimulated Raw2647 cells in vitro, when compared to SchB-HSA nanoparticles. This was further corroborated by the finding that Raw2647 cells absorbed PSA nanoparticles at a rate exceeding HSA nanoparticles by a factor of 879. The liver's accumulation of PSA NPs was, as anticipated, more substantial. SchB-PSA NPs, importantly, profoundly decreased NF-κB signaling activation, consequently lessening the inflammatory response and hepatic necrosis. Remarkably, high-dose SchB-PSA NPs demonstrated a 75% survival rate improvement in ALI mice within 72 hours. In light of this, SchB-PSA NPs are seen as a viable option for ALI treatment.Researchers are innovating by using microorganisms to create this particular nanomaterial. A culture medium served as the environment where Trichophyton rubrum biosynthesized silver nanoparticles. The generation of silver nanoparticles was facilitated in this study by the utilization of Trichophyton rubrum, a dermatophyte fungus. Utilizing a medium consisting of mineral salts, the clinical strains of these species were incubated at 25°C for a period of 5 to 7 days. To synthesize AgNps, each culture's cell-free filtrate was treated with a 1 mM AgNO3 solution. The metal nanoparticles' reduction of Ag+ ions was virtually examined by the solution turning a reddish-light brown shade after a period of 72 hours. SEM analysis served to identify the presence of AgNo3. SEM analysis confirmed the presence of AgNPs, revealing a spherical shape and a size of approximately 100 nanometers. The findings, moreover, suggested a concentration-dependent antifungal effect of silver nanoparticles on both infectious agents. Growth exhibited a reduction when the concentration of AgNPs reached 150 ppm.