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The present study was carried out to develop cisplatin-loaded chitosan nanoparticles (CCNP) and cisplatin-loaded chitosan nanoparticle surface linked to rituximab (mAbCCNP) as targeted delivery formulations. The two formulations (CCNP and mAbCCNP) exhibited significant physicochemical properties. The zetapotential (ZP) values of CCNP and mAbCCNP were 30.50 ± 5.64 and 26.90 ± 9.09 mV, respectively; while their particle sizes were 308.10 ± 1.10 and 349.40 ± 3.20 z.d.nm, respectively. The poly dispersity index (PDI) of CCNP was 0.257 ± 0.030 (66.6% PDI), while that of mAbCCNP was 0.444 ± 0.007 (57.60% PDI). Differential scanning calorimetry (DSC) revealed that CCNP had endothermic peaks at temperatures ranging from 135.50 to 157.69 °C. A sharp exothermic peak was observed at 95.79 °C, and an endothermic peak was observed at 166.60 °C. The XRD study on CCNP and mAbCCNP revealed distinct peaks at 2θ . Four peaks at 35.38°, 37.47°, 49.29°, and 59.94° corresponded to CCNP, while three distinct peaks at 36.6°, 49.12°, and 55.08° corresponded to mAbCCNP. The in vitro release of cisplatin from nanoparticles followed zero order kinetics in both CCNP and mAbCCNP. The profile for CCNP showed 43.80% release of cisplatin in 6 h (R 2  = 0.9322), indicating linearity of release with minimal deviation. However, the release profile of mAbCCNP showed 22.52% release in 4 h (R 2  = 0.9416), indicating linearity with sustained release. In vitro cytotoxicity studies on MCF-7 ATCC human breast cancer cell line showed that CCNP exerted good cytotoxicity, with IC 50 of 4.085 ± 0.065 µg/mL. However, mAbCCNP did not elicit any cytotoxic effect. At a dose of 4.00 µg/mL cisplatin induced early apoptosis and late apoptosis, chromatin condensation, while it produced secondary necrosis at a dose of 8.00 µg/mL. Potential delivery system for cisplatin CCNP and mAbCCNP were successfully formulated. The results indicated that CCNP was a more successful formulation than mAbCCNP due to lack of specificity of rituximab against MCF-7 ATCC human breast cancer cells.

This study investigated the bioactive components and explored the antioxidant and antibacterial properties of the methanolic leaf extracts of Cadaba glandulosa (MLCG). The observed activity is related to the diverse chemical composition of the extract as determined by gas chromatography-mass spectrometry (GC-MS) analysis, which tentatively identified 18 distinct compounds. Notable compounds include methyl dodecanoate, methyl tetradecanoate, 9,12-octadecadienoyl chloride, hexadecanoic acid methyl ester, palmitoleic acid, anethole, brefeldin A and oleic acid. The antioxidant tests showed a significant scavenging activity of 88.2% at a concentration of 381.5 µg/mL, which underlines the effectiveness of the extract in neutralizing free radicals. The total phenolic content in MLCG was found to be 79.5%, corresponding to 250.8 mg of gallic acid equivalents (GAE)/ mL.The antibacterial activity of MLCG showed variability between bacterial strains, with the strongest inhibition observed against Staphylococcus aureus and Streptococcus pyogenes , both Gram-positive bacteria. The extract showed moderate activity against Gram-negative bacteria such as Escherichia coli and Pseudomonas aeruginosa , while the least activity was observed against Klebsiella pneumoniae . In this study, the impressive antioxidant and antibacterial properties of MLCG underline the therapeutic potential of Cadaba glandulosa as a natural source of antioxidant and antibacterial agents.

Despite major advancements in our understanding of its fundamental causes, pain—both acute and chronic—remains a serious health concern. Various preclinical investigations utilizing diverse animal, cellular, and alternative models are required and frequently demanded by regulatory approval bodies to bridge the gap between the lab and the clinic. Investigating naturally occurring painful disorders can speed up medication development at the preclinical and clinical levels by illuminating molecular pathways. A wide range of animal models related to pain have been developed to elucidate pathophysiological mechanisms and aid in identifying novel targets for treatment. Pain sometimes drugs fail clinically, causing high translational costs due to poor selection and the use of preclinical tools and reporting. To improve the study of pain in a clinical context, researchers have been creating innovative models over the past few decades that better represent pathological pain conditions. In this paper, we provide a summary of traditional animal models, including rodents, cellular models, human volunteers, and alternative models, as well as the specific characteristics of pain diseases they model. However, a more rigorous approach to preclinical research and cutting-edge analgesic technologies may be necessary to successfully create novel analgesics. The research highlights from this review emphasize new opportunities to develop research that includes animals and non-animals using proven methods pertinent to comprehending and treating human suffering. This review highlights the value of using a variety of modern pain models in animals before human trials. These models can help us understand the different mechanisms behind various pain types. This will ultimately lead to the development of more effective pain medications.

Despite extensive global research on Camellia sinensis , comprehensive studies on its chemical composition remain limited in many regions, including Saudi Arabia, restricting insights into its health benefits and quality. This study aimed to characterize the mineral, antioxidant, phenolic, and phytochemical profiles of 20 commercial tea brands imported from Sri Lanka, India, the United Arab Emirates, Saudi Arabia, and the United Kingdom. Mineral content was assessed via inductively coupled plasma mass spectrometry (ICP-MS), phytochemicals were analyzed by gas chromatography–mass spectrometry (GC-MS), antioxidant capacity was evaluated using the DPPH assay, and total phenolic content (TPC) was determined with the Folin–Ciocalteu method. Chemometric analyses, including principal component analysis (PCA) and hierarchical cluster analysis (HCA), were used to explore variable associations and sample groupings. Aluminum (4.42 × 10³ to 1.70 × 10⁴ ppb) and manganese (2.80 × 10³ to 3.46 × 10³ ppb) showed notable variability, with elevated lead (6000 ppb) and cadmium (52.5 ppb) in one sample indicating potential contamination risks. Caffeine (57.76–79.14%) was the dominant phytochemical, followed by theobromine and quinic acid. Although TPC ranged from 256.22 to 361.84 mg GAE/mL, it showed no clear correlation with DPPH inhibition (11–69%), suggesting contributions from non-phenolic antioxidants. PCA and HCA indicated both geochemical and anthropogenic influences on sample composition. These findings underscore the chemical diversity of tea in the Saudi market and support the need for strengthened quality control. Future studies should quantify specific phytochemicals and identify contamination sources to enhance the safety and nutritional value of these products.

Cubebin, a dibenzyl butyrolactone lignan belonging to several distinct families, including Aristolochiaceae , Myristicaceae , Piperaceae , and Rutaceae , and possesses several pharmacological activities, including analgesic, anti-inflammatory, antioxidant, and vasodilatory. The current study aimed to evaluate the effect of cubebin on streptozotocin (STZ)-evoked diabetic nephropathy (DN). DN is a well-identified complication of diabetes mellitus (DM) characterized by renal hypertrophy that progressively declines kidney function. Wistar rats were randomly divided into groups- normal, STZ control (65 mg/kg/body weight), and STZ + cubebin (10 and 20 mg/kg). Biochemical parameters such as glucose levels, kidney parameters, lipid profile, oxidative stress, endogenous antioxidant markers, inflammatory cytokines and histopathology were performed. Molecular docking [(PDB ID: TNF-α (7JRA), NF-κB (1SVC), TGF-β1 (3TZM)] and dynamic simulation (MDS) were also performed with the selected target. STZ-induced DN was changes in these parameters. In contrast, DN + cubebin at 10 and 20 mg/kg doses improved the biochemical parameters and histological changes. Furthermore, molecular docking and simulation studies showed a binding affinity with negative binding energy with TNF-α (7jra, − 11.342 kcal/mol), TGF-β1 (3tzm, − 9.162 kcal/mol) and NF-κB (1svc, − 6.665 kcal/mol). The results of MDS provided insight into the mechanisms that associate proteins TNF-α, NF-κB, and TGF-β1 in conformational dynamics upon binding to cubebin. In conclusion, these findings exhibit a potential effect of cubebin in STZ-evoked DN rats.

Vaccination is a groundbreaking approach in preventing and controlling infectious diseases. However, the effectiveness of vaccines can be greatly enhanced by the inclusion of adjuvants, which are substances that potentiate and modulate the immune response. This review is based on extensive searches in reputable databases such as Web of Science, PubMed, EMBASE, Scopus, and Google Scholar. The goal of this review is to provide a thorough analysis of the advances in the field of adjuvant research, to trace the evolution, and to understand the effects of the various adjuvants. Historically, alum was the pioneer in the field of adjuvants because it was the first to be approved for use in humans. It served as the foundation for subsequent research and innovation in the field. As science progressed, research shifted to identifying and exploiting the potential of newer adjuvants. One important area of interest is nano formulations. These advanced adjuvants have special properties that can be tailored to enhance the immune response to vaccines. The transition from traditional alum-based adjuvants to nano formulations is indicative of the dynamism and potential of vaccine research. Innovations in adjuvant research, particularly the development of nano formulations, are a promising step toward improving vaccine efficacy and safety. These advances have the potential to redefine the boundaries of vaccination and potentially expand the range of diseases that can be addressed with this approach. There is an optimistic view of the future in which improved vaccine formulations will contribute significantly to improving global health outcomes.

Melanoma, a highly aggressive form of skin cancer, poses a major therapeutic challenge due to its metastatic potential, resistance to conventional therapies, and the complexity of the tumor microenvironment (TME). Materials science and nanotechnology advances have led to using nanocarriers such as liposomes, dendrimers, polymeric nanoparticles, and metallic nanoparticles as transformative solutions for precision melanoma therapy. This review summarizes findings from Web of Science, PubMed, EMBASE, Scopus, and Google Scholar and highlights the role of nanotechnology in overcoming melanoma treatment barriers. Nanoparticles facilitate passive and active targeting through mechanisms such as the enhanced permeability and retention (EPR) effect and functionalization with tumor-specific ligands, thereby improving the accuracy of drug delivery and reducing systemic toxicity. Stimuli-responsive systems and multi-stage targeting further improve therapeutic precision and overcome challenges such as poor tumor penetration and drug resistance. Emerging therapeutic platforms combine diagnostic imaging with therapeutic delivery, paving the way for personalized medicine. However, there are still issues with scalability, biocompatibility, and regulatory compliance. This comprehensive review highlights the potential of integrating nanotechnology with advances in genetics and proteomics, scalable, and patient-specific therapies. These interdisciplinary innovations promise to redefine the treatment of melanoma and provide safer, more effective, and more accessible treatments. Continued research is essential to bridge the gap between evidence-based scientific advances and clinical applications.

The primary objective of this research was to create injectable delivery formulations using Lactotransferrin (LTF) peptide-loaded dextran nanoparticles coated with docosahexaenoic acid. These nanoparticles, designated as LLDDNP, underwent a lyophilization process. The study encompassed a comprehensive investigation, including physicochemical characterization, in vivo assessment of biomarkers, and an examination of immune response through cytokine modulation. The zeta potential of LLDDNP was − 24.5 ± 12 mV, while their average particle size was 334.9 z.d.nm. The particles exhibited a conductivity of 2.10 mS/cm, while their mobility in the injectable dosage form was measured at − 3.65 µm cm/Vs. The scanning electron microscopy investigation, the lyophilization processes resulted in discrete particles forming particle aggregations. However, transmission electron microscopy analysis revealed that LLDDNP is spherical and smooth. The thermogram showed that about 95% of LLDDNP's weight was lost at 270 °C, indicating that the particles are extremely thermal stable. The XRD analysis of LLDDNP exhibited clear and distinctive peaks at 2θ angles, specifically at 9.6°, 20.3°, 21.1°, 22°, 24.6°, 25.2°, 36°, and 44.08°, providing compelling evidence of the crystalline nature of the particles. According to proton NMR studies, the proton dimension fingerprint region of LLDDNP ranges from 1.00 to 1.03 ppm. The in vitro release of LTF from LLDDNP was found to follow zero-order kinetics, with a commendable R 2 value of 0.942, indicating a consistent and predictable release pattern over time. The in vivo investigation revealed a significant impact of hepatotoxicity on the elevation of various cytokines, including IL-1β, IL-6, IL-8R, TNF-α, IL-2, IL-4, IL-10, and IFN-γ. Additionally, the presence of hepatotoxicity led to an increase in apoptosis markers, namely caspase 3 and caspase 9, as well as elevated levels of liver biomarkers such as CRP, ALP, ALT, and AST. In contrast, the treatment with LLDDNP modulated the levels of all biomarkers, including cytokines level in the treatment group extremely high significant at p  < 0.001.

Amikacin sulfate-loaded dextran sulfate sodium nanoparticles were formulated, lyophilized (LADNP), and then analyzed. The LADNP had a −20.9 ± 8.35 mV zeta potential, PDI of 0.256, and % PDI of 67.7. The zeta average nano size of LADNP was 317.9 z. d.nm, while the dimension of an individual particle was 259.3 ± 73.52 nm, and nanoparticle conductivity in colloidal solution was 2.36 mS/cm. LADNP has distinct endothermic peaks at temperatures at 165.77 °C, according to differential scanning calorimetry (DSC). The thermogravimetric analysis (TGA) showed the weight loss of LADNP, which was observed as 95% at 210.78 °C. XRD investigation on LADNP exhibited distinct peaks at 2θ as 9.6°, 10.4°, 11.4°, 18.9°, 20.3°, 24.4°, 28.2°, 33.2°, 38.9°, and 40.4° confirming crystalline structure. The amikacin release kinetics from LADNP revealed zero order kinetics with a linear release showed zero order kinetics with 37% of drug release in 7 h and had an R2 value of 0.99. The antibacterial effect of LADNP showed broad-spectrum activity against tested human pathogenic bacteria. The preset study demonstrated that LADNP is a promising antibacterial agent.

Artemisia arborescens is a medicinal and aromatic plant used in traditionally by the people of Saudi Arabia. This research attempts to evaluate the bioactive constituents of the plant using organic solvents, as well as the antibacterial and anticancer properties of plant extracts. The Phytochemical analysis of methanol extract revealed eleven bioactive constituents, identified by comparing their retention periods and GC-MS profiles to account for 52.45 percent of the studied extract. In the meantime, the extract of pet ether had demonstrated the presence of sixteen significant constituents, six of which were distinct sesquiterpene derivatives. In lipophilic plant extract, three higher alkanes made up 12.49% of the total. These higher alkanes were tetratriacontane (6.55%), hentriacontane (4.17%), and octacosane (1.77%). Studies on antimicrobial activity have revealed that both methanolic and petroleum ether extracts had a broad spectrum of activity against specific human pathogens. Both extracts, however, failed to exhibit any anti-Candida albicans activity. Methanolic extract not shown inhibition in the cell growth of MCF-7 cell, but petroleum ether extract had shown significant anti-cancer activity against MCF-7 cell with an IC50 of 13.49 µg/mL. the results obtained show that A. arborescens have a lot of potential for further research into variety of biological functions, against cancer and microbes.