Application of ensemble machine learning approach to assess the factors affecting size and polydispersity index of liposomal nanoparticles

Development, in vitro and ex vivo characterization of lamotrigine-loaded bovine serum albumin nanoparticles using QbD approach

The present study aimed to prepare and optimize lamotrigine-loaded bovine serum albumin nanoparticles (LAM-NP) using the Quality by Design (QbD) approach and to investigate both the in vitro and ex vivo effects of different cross-linking agents glutaraldehyde (GLUT), glucose (GLUC) and 1-(3-dimethylaminutesopropyl)-3-ethylcarbodiimide hydrochloride (EDC) on intranasal applicability. Cross-linked LAM-NP from EDC (NP-EDC-1) showed the lowest Z-average value (163.7 ± 1.9 nm) and drug encapsulation efficacy (EE%) of 97.31 ± 0.17%. The drug release of GLUC cross-linked LAM-NP (NP-GLUC-9), glutaraldehyde cross-linked LAM-NP (NP-GLUT-2), and NP-EDC-1 at blood circulation conditions was higher than the initial LAM. The results of the blood-brain barrier parallel artificial membrane permeability assay (BBB-PAMPA) showed an increase in the permeability of LAM through the BBB with NP-GLUC-9 and an increase in flux with all selected formulations. The ex vivo study showed that LAM diffusion from the selected formulations through the human nasal mucosa was higher than in case of initial LAM. The cytotoxicity study indicated that BSA-NP reduced LAM toxicity, and GLUC 9 mM and EDC 1 mg could be alternative cross-linking agents to avoid GLUT 2% v/v toxicity. Furthermore, permeability through Caco-2 cells showed that nasal epithelial transport/absorption of LAM was improved by using BSA-NPs. The use of BSA-NP may be a promising approach to enhance the solubility, permeability through BBB and decrease the frequency of dosing and adverse effects of LAM.

Advances in photoactivated carbon-based nanostructured materials for targeted cancer therapy

In this review, we explore key innovations in photoactivated therapeutic programming of carbon-based nanomaterials (CBNs), focusing on their diverse nanostructural configurations and their exceptional photothermal, photochemical, and photoacoustic properties. These attributes position CBNs as remarkable phototherapeutic agents, capable of addressing critical challenges in targeted cancer therapy through their precision, multifunctionality, and adaptability to specific therapeutic modalities. We will explore their diverse derivatives, and the role of chemical augmentation and site-specific surface functionalisation, which are pivotal in optimising the targeting and efficacy of phototherapeutic interventions. The biological and physical relevance of this ever-growing library of nanomaterials in targeted phototherapy will be thoroughly explored. Dynamic photo-triggering of the underlying molecular mechanisms of action e.g., energy conversion modalities lie at the heart of these therapeutic innovations. We will further discuss the tunability and programming of these carriers and structure-function alterations at specific therapeutic wavelengths. The application space of phototherapies is thoroughly mapped exploring the three primary approaches of photothermal therapy, photodynamic therapy and photochemical internalisation as well as emerging techniques and promising multimodal approaches that combine two or more of these processes. The specificity of the target tissue site and the approach under study forms another critical focus area of this review, with an emphasis on three types of cancer-breast cancer, lung cancer, and gliomas-that have demonstrated some of the most promising outcomes from photomedicine. We also provide a perspective on in vitro and in vivo validation and preclinical testing of CBNs for phototherapeutic applications. Finally, we reflect on the potential of CBNs to revolutionise targeted cancer therapy through data-driven materials design and integration with computational tools for biophysical performance optimisation. The exciting integration of machine learning into nanoparticle research and phototherapy has potential to fundamentally transform the landscape of nanomedicine. These techniques ranging from supervised learning algorithms such as random forests and support vector machines to more advanced neural networks and deep learning, can enable unprecedented precision in predicting, optimising, and tailoring the properties of nanoparticles for targeted applications. The transformative impact of photoactivated CBNs in advancing cancer treatment, paves the way for their clinical application and widespread adoption in personalised photomedicine. We conclude with a section on the current challenges facing the reproducibility, manufacturing throughput, and biocompatibility of these nanostructured materials including their long-term effects in trials and degradation profiles in biological systems as evaluated in vitro and in vivo.

Pseudo-ternary phase diagram based PEGylated nano-dispersion of linezolid to promote wound regeneration: an in vitro and in vivo evaluation

Open wounds are prone to bacterial infiltration mostly resistant strains like methicillin-resistant Staphylococcus aureus (MRSA), which affects healing of open wounds. Topical linezolid nano-dispersion using essential oils as nanoemulgel can increase solubility of drug and bypass side-effects like GI-irritation of oral administration. Pseudo-ternary phase diagram was built to optimise nanoemulsion. Surfactant/co-surfactant mixture (3:1), deionised water and Oilmix (4:1) with drug were vortexed and then ultrasonicated. 1% carbopol gel of optimised nanoemulsion was prepared and characterised, exposed to antimicrobial study, cytocompatibility study using HEK293 cell-line, and in vivo wound healing study using rat excision model. Histological study was performed to confirm growth of stratum corneum. Optimised formulation has particle size (244.6 ± 178.66 nm), polydispersity index (25%), entrapment efficiency (92.3 ± 3.38%) and in vitro drug release (87.58 ± 4.16%) best fitted in Korsmeyer-Peppas kinetics model. Nanoemulgel F6 (0.2%w/w) was found with viscosity of 5345 ± 6 cP constituting a very excellent antimicrobial effect against MRSA. HEK293 cells had shown good cytocompatibility with formulation. The wound contraction rate was 99.66 ± 0.57% at day 15 on daily application of nanoemulgel and stratum corneum was almost fully regenerated. The developed nanoemulgel has potential antimicrobial efficacy and can promote wound healing.

Dual SORT LNPs for multi-organ base editing

Alpha-1 antitrypsin (A1AT) deficiency (AATD) is caused by a mutation in the SERPINA1 gene (PiZ allele), where misfolded A1AT liver accumulation leads to liver damage, and A1AT deficiency in the lungs results in emphysema due to unregulated neutrophil elastase activity. Base editing offers a potential cure for A1AT; however, effective treatment is hindered by the absence of dual-target delivery systems that can target key tissues. We developed Dual Selective ORgan-Targeting lipid nanoparticles (SORT LNPs) to deliver base editors to the liver and lungs. Dual SORT LNPs correct the PiZ mutation, achieving 40% correction editing in liver cells and 10% in lung AT2 cells. The liver maintains stable editing for 32 weeks, reducing Z-A1AT levels by over 80% and restoring a normal liver phenotype. In parallel, 89% neutrophil elastase inhibition is achieved in lung bronchoalveolar lavage fluid. Taken together, Dual SORT LNP therapy offers a promising approach for long-lasting genome correction for multi-organ diseases such as AATD.

Preparation, and ex vivo and in vivo Characterization of Favipiravir-Loaded Aspasomes and Niosomes for Nose-to-Brain Administration

Purpose

The present study aimed to develop and compare the intranasal applicability of favipiravir-loaded aspasomes (FAV-ASPs) using film hydration method, and favipiravir-loaded niosomes (FAV-NIOs) using ethanol injection method.

Methods

The FAV-ASP and FAV-NIO formulations were characterized according to nanoparticulate characteristics (DLS, drug loading, drug encapsulation efficacy, droplet size distribution), drug release and permeability behavior.

Results

The optimized FAV-ASP formulation (FAV-ASP8) consisted of FAV, ascorbyl palmitate, Span® 60 and cholesterol (30:25:25:50 w/w) with nano-scale size range (292.06 ± 2.10 nm), narrow polydispersity index (PDI) value (0.36 ± 0.03), adequate zeta potential (-74.73 ± 3.28 mV) and acceptable encapsulation efficiency (55.33 ± 0.41%). The optimized FAV-NIO formulation (FAV-NIO9) contained FAV, Span® 60 and cholesterol (30:30:40 w/w) with nano-scale size range (167.13 ± 1.60 nm), narrow PDI value (0.07 ± 0.01), adequate zeta potential (-27.1 ± 1.24 mV) and acceptable encapsulation efficiency (51.30 ± 0.69%). FAV-ASP8 and FAV-NIO9 were suitable for spraying into the nasal cavity (droplet size distribution <200 µm). In vitro drug release and permeability studies demonstrated enhanced solubility and increased blood-brain barrier (BBB) permeability of FAV formulations, respectively. The ex vivo human nasal permeability study revealed that FAV diffusion from FAV-ASP8 was higher than from FAV-NIO9 or initial FAV. Furthermore, the in vivo animal study showed that FAV-ASP8 had a higher BBB penetration compared to FAV-NIO9 and pure FAV. The in vitro-in vivo correlation study showed good correlation between the in vitro and the in vivo pharmacokinetic data.

Conclusion

FAV-ASP8 for nose-to-brain delivery system could be a promising formulation to improve FAV bioavailability compared to FAV-NIO9.

Advancing Cellular-Specific Delivery: Machine Learning Insights into Lipid Nanoparticles Design and Cellular Tropism

Lipid nanoparticles (LNPs) have gained significant attention as effective nucleic acid delivery vehicles. Despite their success, LNPs are predominantly liver-targeted which limits their broader application. To expand the therapeutic potential of LNPs, this work implements a data-driven approach that combines design of experiments (DoE), high throughput screening (HTS), and machine learning (ML) to tailor LNP formulations for preferential immune cell targeting. This methodology involves the generation of 180 LNP formulations, with varying lipid molar ratios and lipid chemistries, to explore a diverse design space. This work aims to identify LNP properties that enhance immune cell specificity while reducing hepatic uptake. The in vitro screening of these LNPs provided a rich dataset for ML analysis, leading to the identification of promising candidates with improved immune cellular selectivity profiles. These findings are validated in vivo where it is demonstrated that selected LNPs achieved preferential spleen expression with a successful redirection of LNP tropism beyond hepatic cells. This workflow highlights the importance of tailoring LNP compositions for the development of LNPs with selective cellular tropism.

Evaluation of peroxidase mimicking behaviour of V2O5 nanozymes with various morphologies and its application as glucose sensor via cascade mechanism in human serum samples

A simple spectrophotometric method is presented for quantifying glucose and H2O2 using p-aminophenol sulfate-(PAP) & N-(1-Naphthyl) ethylenediamine dihydrochloride-(NEDA) as novel chromogenic reagents with different morphological V2O5 nanoparticles (NPs) as peroxidase mimicking nanozyme. For glucose, the method was linear in the range of 0.0289 and 0.925 mM for HRP and NPs. The substrate and nanozymes interaction was established using Km values, which were satisfactory. Recovery studies were performed with glucose and found between 83.98 % and 99.08 % for NPs and 88.48 to 99.35 for HRP. LOD range of 0.0194-0.0351 mM and LOQ range of 0.0588-0.1064 mM was observed with NPs, whereas for HRP, LOD was 0.02 and LOQ was 0.0607 mM. Maltose, sucrose, fructose, mannose, and galactose, considered potential interferants in glucose assay methods, provided negligible interference with the proposed method. Based on XRD data, the average crystalline size of the NPs was calculated using Scherrer's equation and Williamson-Hall plot and ranged between 29.14 and 45.42 nm, 32.5 and 45.7 nm, respectively. SEM and TEM images confirm the morphology of V2O5 Nps were vanadium nanosheets (VNShs), nanoflowers (VNFws), and nanospheres (VNSps). DLS data revealed the Zeta potential of NPs in the range -4.5mv to 4.6mv. XPS confirms the NPs are in the V2O5 state.

Nose-to-brain delivery of sorafenib-loaded lipid-based poloxamer-carrageenan nanoemulgel: Formulation and therapeutic investigation in glioblastoma-induced orthotopic rat model

Glioblastoma multiforme (GBM) has a poor clinical prognosis, where conventional treatment offers therapeutic limitations. Therefore, the current study introduces a first-of-its-kind sorafenib (SOR) nanoemulsion (SNE) loaded with poloxamer-carrageenan nanoemulgel (SPCNEG), a novel dual-functional and natural polymer-based payload system for effective intranasal chemotherapeutic administration. The nanoformulation was developed using carrageenan (a natural gelling agent), poloxamer (a mucoadhesive agent), glyceryl caprate as lipid, and Cremophor EL:PEG 400 blend as surfactant system. The improved biopharmaceutical attributes of developed formulations were confirmed from the release experiments, revealing augmentation in drug release from SNE (84.56 ± 3.78 %) and SPCNEG (68.62 ± 4.11 %) up to 3.41- and 8.12-fold compared to plain SOR. The ex vivo experiments showed a similar enhancement in drug permeation. Moreover, the SNE also showed superior performance on glioma cell lines, as indicated by lower IC50 (2.23 μg/mL) than plain SOR (16.61 μg/mL). The pharmacokinetic study revealed a 2.52- and 3.24-fold increase in SNE and SPCNEG brain concentration, respectively, compared to Soranib®. Additionally, a high correlation was also observed between in vitro drug release and in vivo absorption at prespecified time intervals for developed formulations. In conclusion, the current research promising and non-invasive alternative to existing interventions for enhanced brain targeting potential.

Essential Oil of Lippia origanoides Kunth: Nanoformulation, Anticholinesterase Activity, and Molecular Docking

This study investigates the therapeutic potential of Lippia origanoides essential oil (LOEO) in neurological and pharmaceutical applications. The chemical composition of LOEO was analyzed using gas chromatography-mass spectrometry (GC-MS), revealing major constituents, such as carvacrol, thymol, and γ-gurjunene, known for their antioxidant and antimicrobial properties. LOEO demonstrated significant acetylcholinesterase (AChE)-inhibitory activity, particularly in a nanoformulation that enhances bioavailability and stability. Additionally, the major constituent carvacrol, when tested in isolation, also exhibited AChE-inhibitory activity comparable to that of the nanoformulation. Molecular docking analysis indicated strong binding affinities between LOEO compounds and AChE, supporting its therapeutic potential for neurodegenerative diseases like Alzheimer's. Additionally, in silico pharmacokinetic predictions revealed favorable absorption and blood-brain barrier penetration profiles for key constituents. Despite promising results, this study acknowledges the need for in vivo validation and long-term stability assessments of the nanoformulation. Future research should focus on pharmacodynamic studies and evaluating the oil's effectiveness in animal models. These findings highlight LOEO as a valuable candidate for developing natural therapies for neurodegenerative diseases.

Subcutaneous liposomal delivery improves monoclonal antibody pharmacokinetics in vivo

Background Monoclonal antibodies (mAbs) effectively treat and prevent various diseases, but their clinical application is hindered by issues related to the route of administration and pharmacokinetics (PK). Intravenous (IV) administration is cumbersome, while subcutaneous (SC) administration is hampered by lower bioavailability and potential for immunogenicity. This study evaluated the efficacy of liposomal formulations in enhancing the subcutaneous (SC) delivery and PK of broadly neutralizing antibodies (bNAbs) directed against HIV.

METHODS

mAbs were encapsulated in liposomes with and without PEGylation. The liposomes were characterized for particle size, polydispersity index, zeta potential, and release. Thereafter, mice were injected with free mAbs or liposome-encapsulated mAbs, and PK was evaluated.

RESULTS

Liposomes exhibited sizes of 85-92 nm with negative surface charges. Encapsulation efficiencies were 61 % for PEGylated and 58 % for non-PEGylated liposomes. Stability testing over 16 weeks revealed that formulations remained stable at 4 °C but showed leakage at 37 C. Cytotoxicity assays confirmed that the liposomal formulations did not affect cell viability or induce apoptosis in HMEC-1 cells. In vivo, PK studies in humanized FcRn mice indicated that the PEGylated formulations generally had higher half-life, Cmax, AUC, and MRT, and lower CL values compared to their non-PEGylated formulations of the same injection type. Both liposomal formulations showed improvements in bioavailability and extended half-life compared to free mAbs administered via SC and IV routes. Compared to the gold standard of IV free mAb injection, SC injection of antibodies encapsulated in PEGylated liposome had up to 80 % higher bioavailability and 45 % extension of half-life. Compared to the SC free mAb injection, the differences were even more pronounced, with liposomal SC injection having up to 113 % higher bioavailability and 81 % extension of half-life.

CONCLUSION

Overall, liposomal encapsulation effectively protected SC injected mAbs from degradation, facilitated sustained release, and improved PK profiles, suggesting a promising strategy for enhancing the therapeutic potential of mAbs in conditions that need repeated injections. Future work should further optimize liposomal formulations to increase loading capacity, stability, and release kinetics.

STATEMENT OF SIGNIFICANCE

This study addresses a challenge in the administration of monoclonal antibodies (mAbs). Intravenous administration requires additional resources, including nursing staff, making it time-consuming and costly. Although subcutaneous (SC) administration offers a less expensive and more patient-friendly option, it suffers from lower bioavailability and potentially shorter half-life. In this study, we encapsulated mAbs in liposomal formulations specifically designed to enhance their pharmacokinetics by promoting efficient lymphatic transport. Compared with both SC and even IV administration of free antibodies, liposomal formulations of mAbs remarkably improve bioavailability and extend the half-life. This innovative approach combines the comfort of SC administration with enhanced pharmacokinetics, addressing the limitations of current SC delivery methods. Liposomal formulations have the ability to greatly improve SC mAb administration by reducing the amount of antibody needed to be administered, reducing the frequency of injections, and potentially protecting against immunogenicity.

Optimizing Andrographolide from Sambiloto Leaves (Andrographis paniculata) Using Cyclodextrin Metal-Organic Frameworks for Targeted Pulmonary Delivery via a Metered Dose Inhaler: A Proof-Of-Concept Study

Andrographis paniculata is recognized for its numerous applications in the pharmaceutical industry. The primary compound of this plant, andrographolide (AG), has demonstrated potent antibacterial properties, including against K. pneumoniae. However, its poor solubility limits its bioavailability. To address this, the creation of an inclusion complex (IC) using cyclodextrin (CD) and Metal-Organic Frameworks (MOFs) offers a promising solution for improving AG's solubility and bioavailability. The AG-CD-MOFs are intended to be delivered via a metered dose inhaler (MDI), allowing for direct targeting of lung tissue. This research focuses on designing AG encapsulated within CD-MOFs to boost solubility and enhance drug efficacy when delivered directly to the lungs via an MDI. Computational molecular modeling indicated that γ-CD is the most suitable host molecule for forming an inclusion complex (IC) with AG, surpassing α-CD and β-CD. The optimal AG to γ-CD ratio for the IC is 1:2 (w/w), with a particle size of 534.53 ± 49.11 nm, a PDI of 0.121 ± 0.01, an encapsulation efficiency (EE) of 89.45 ± 7.03%, and a drug loading (DL) of 26.09 ± 2.87%. The IC exhibits strong antibacterial activity comparable to AG crystal-DMSO, highlighting the importance of solubility in AG's antibacterial efficacy. Additionally, drug release studies revealed that the IC's release profile is nearly nine times greater than that of the AG crystal. In vivo studies further demonstrated the high selectivity of the MDI for lung tissue delivery compared to injection and oral administration, with drug concentrations of 7.44 ± 0.57 μg/mL, 1.52 ± 0.23 μg/mL, and 1.5 ± 0.16 μg/mL, respectively. Moreover, the MDI AG-CD-MOFs exhibited sustained-release properties, maintaining a drug concentration of 5.27 ± 0.75 μg/mL in lung tissue for up to 48 h, significantly higher than injection and oral administration, which only maintained concentrations of 1.52 ± 0.23 μg/mL and 1.50 ± 0.16 μg/mL at 8 h, respectively. The developed formulation shows high selectivity to lung tissue and shows sustained-release behavior. The formula was deemed safe based on in vitro hemolysis and irritation risk tests and did not cause inflammation in lung tissue, as confirmed by histopathology studies. Furthermore, in vivo studies are strongly recommended to validate this therapy and improve pneumonia treatment options.

Genipin crosslinked sodium caseinate-chitosan oligosaccharide nanoparticles for optimizing β-carotene stability and bioavailability

In this study, genipin served as crosslinker to combine sodium caseinate (SC) and chitosan oligosaccharide (COS), aiming to improve the physicochemical properties and encapsulation efficiency of SC in delivering hydrophobic nutritional factors. The genipin crosslinked complex of SC and COS (GSCC) was characterized by circular dichroism spectrum and infrared spectrum analyses. Nanoparticles produced from GSCC (GSCCNP) exhibited a superior hydrophilicity compared to those derived from SC (SCNP). GSCCNP significantly augmented the encapsulation efficacy and photostability of β-carotene. β-Carotene encapsulated within GSCCNP (βC-GSCCNP) exhibited remarkable in vitro sustained release characteristics and heightened bioavailability. In addition, βC-GSCCNP showed significant in vitro anti-inflammatory activity. These findings indicated that genipin crosslinking COS-modified SC could construct a nano-delivery system to enhance the stability and bioavailability of insoluble nutritional factors, thereby presenting promising applications for hydrophobic nutrients in the development of functional foods and beverages.

5-Fluorouracil- and Sesamol-Loaded Transliposomal Gel for Skin Cancer: In Vitro, Ex Vivo, and Dermatokinetic Evaluation

This study explores a novel approach to managing skin conditions through a combination therapy utilizing a phospholipid-enriched edge activator-based nanoformulation. 5-Fluorouracil (5-FU)- and sesamol (SES)-loaded transliposomes (FS-TL) were developed using a thin film hydration method and optimized using Box-Behnken Design. FS-TL characterization indicated a vesicle size of 165.6 ± 1.1 nm, polydispersity index of 0.28 ± 0.01, and a zeta potential of -33.17 ± 0.9 mV, and the percent entrapment efficiencies for 5-FU and SES were found to be 63.16 ± 1.07% and 75.60 ± 3.68%, respectively. The drug loading percents for 5-FU and SES were found to be 5.87 ± 0.099% and 7.03 ± 0.34%, respectively. The morphological studies exhibit the distinctive spherical shape of the nanoformulation. The in vitro drug release demonstrated sustained release with 82.52 ± 1.2% and 86.28 ± 1.3% releases for 5-FU and SES, respectively. The ex vivo skin permeation exhibited 81.04 ± 2.1% and 78.03 ± 1.7% for 5-FU and SES. Confocal laser microscopy scanning (CLSM) revealed a deeper formulation penetration (30.0 μm) of excised mice skin membranes than for a standard rhodamine solution (10.0 μm). The dermatokinetic investigation revealed that FS-TL gel has significantly higher concentrations of 5-FU and SES (p < 0.001). The efficacy of FS-TL (p < 0.05) in eradicating the A431 melanoma cell line was satisfactory. These findings suggest the potential of FS-TL formulation over conventional approaches in skin cancer management.

Multilayer Adjuvanted Influenza Protein Nanoparticles Improve Intranasal Delivery and Antigen-Specific Immunity

Intranasal vaccination is a desired route for protection against influenza viruses by mucosal and systemic immunity. However, the nasal mucosa impedes the intranasal delivery of vaccines. Here, we formulated layer-by-layer (LBL) influenza vaccine nanoparticles for effective intranasal delivery by coating them with alternating mucoadhesive cationic chitosan and muco-inert anionic CpG adjuvants. The nanoparticle cores were formed by desolvating influenza M2e antigen and coating it with hemagglutinin (HA) antigen via biotin-streptavidin conjugation. LBL modification promoted nasal delivery and interaction with the resident immune cells. Intranasal administration with LBL nanoparticles significantly improved cellular and humoral immune responses against HA and M2e including high IgA titers, a hallmark of potent mucosal immunity and persistence of immune responses. Distinct trends for antigen-specific immune responses were observed for different routes of vaccination. The enhanced immune responses conferred mice protection against the influenza challenge and prominently reduced viral titers, demonstrating the effectiveness of intranasal LBL vaccine nanoparticles.

Luliconazole-niacinamide lipid nanocarrier laden gel for enhanced treatment of vaginal candidiasis: in vitro, ex vivo, in silico and preclinical insights

A lipid-based nanocarrier system is a novel technique for the delivery of poorly soluble drugs through topical delivery. This study developed a dual-drug (luliconazole: LZ, and niacinamide: NM) loaded lipid nanocarrier (LN)-laden gel for the treatment of vaginal candidiasis. The LNs were prepared using cholesterol and soya-α-lecithin through a thin-film hydration technique. The average vesicle size, polydispersity index, and zeta potential of the optimized LZNMLNs were 126.40 ± 1.30 nm, 0.276, and -34.6 ± 0.8 mV, respectively, and the formulation showed the sustained release of both drugs over an extended period. Selected LZNMLNs were incorporated into a bio-adhesive gel. The optimized LZNMLNs-gel showed excellent viscosity, spreadability, and bio-adhesiveness. The optimized LZNMLNs-gel exhibited significantly higher permeation of LZ (1.46-fold) and NM (1.55-fold) than LZNM gel. The optimized LZNMLNs-gel showed significantly higher in vitro antifungal activity (ZOI = 34 ± 2 mm) than commercial Candid V gel (18 ± 1 mm). The optimized LZNMLNs-gel did not show any cytotoxicity against vaginal epithelial cells. The bioavailability of LZNMLNs-gel was significantly (P < 0.05) increased (1.94-fold for LZ and 1.33-fold for NM) compared to Candid V, with a decrease in total clearance indicating sustained release of the drug, which may lead to the maintenance of therapeutic concentration for an extended period. In vivo antifungal activity showed that the optimized LZNMLNs-gel completely treated the infection on the 7th day of treatment in an induced rabbit model, compared to the commercial gel (Candid V gel, 10 days). Based the findings, it can be concluded that LN-laden gel is an alternative carrier for improvement of the topical delivery of drugs for the treatment of vaginal candidiasis.

H-Dots: Renal Clearable Zwitterionic Nanocarriers for Disease Diagnosis and Therapy

Nanocarriers have shown significant promise in the diagnosis and treatment of various diseases, utilizing a wide range of biocompatible materials such as metals, inorganic substances, and organic components. Despite diverse design strategies, key physicochemical properties, including hydrodynamic diameter, shape, surface charge, and hydrophilicity/lipophilicity, are crucial for optimizing biodistribution, pharmacokinetics, and therapeutic efficacy. However, these properties are often influenced by drug payload, presenting an ongoing challenge in developing versatile platform technologies for theranostics. To enable tissue- and organ-specific targeting while minimizing nonspecific uptake, renal clearable Harvard dots (H-dots) have emerged as a promising organic nanocarrier platform. Composed of an ε-polylysine backbone for a tunable charge, near-infrared fluorophores for tracking their fate in living organisms, and β-cyclodextrins for potential drug delivery, H-dots offer a multifunctional approach to theranostic nanomedicine. Recent studies demonstrate that H-dots are effective for targeted imaging and drug delivery to solid tumors. This review highlights current nanocarrier design strategies and recent advances in H-dot applications for cancer diagnosis and therapy.

Soluble microneedle acupuncture patches containing melittin liposomes for the percutaneous treatment of rheumatoid arthritis

Bee venom acupuncture (BVA) offers therapeutic potential for rheumatoid arthritis (RA) but faces challenges from pain and allergies linked to live bee stings. A key hurdle is melittin (Mel), bee venom's main anti-inflammatory component, which degrades rapidly when orally ingested, leading to decreased efficacy and increased toxicity. This study proposes a solution by encapsulating melittin in liposomes to enhance stability and lessen side effects, expanding its clinical applicability. Additionally, the advancement of microneedle technology, which bypasses gastrointestinal issues by targeting the stratum corneum, opens a novel pathway for RA treatment. Employing soluble microneedles loaded with melittin-encapsulated liposomes (Mel-Lip) enables effective transdermal delivery. Results from an adjuvant-induced RA animal model show that Mel-Lip microneedles improve foot health, repair cartilage, and lower inflammatory markers, highlighting microneedling with transdermal nanocarriers as a promising, patient-friendly approach for RA management.

Colloid-Forming Prodrug-Hydrogel Composite Prolongs Lower Intraocular Pressure in Rodent Eyes after Subconjunctival Injection

Colloidal drug aggregates (CDAs) are challenging in drug discovery due to their unpredictable formation and interference with screening assays. These limitations are turned into a strategic advantage by leveraging CDAs as a drug delivery platform. This study explores the deliberate formation and stabilization of CDAs for local ocular drug delivery, using a modified smallmolecule glaucoma drug. A series of timolol prodrugs are synthesized and self-assembled into CDAs. Of four prodrugs, timolol palmitate CDAs have a critical aggregate concentration of 2.72 µM and sustained in vitro release over 28 d. Timolol palmitate CDAs are dispersed throughout in situ gelling hyaluronan-oxime hydrogel and injected into the subconjunctival space of rat eyes. The intraocular pressure is significantly reduced for at least 49 d with a single subconjunctival injection of timolol-palmitate CDAs compared to 6 h for conventional timolol maleate. The systemic blood concentrations of timolol are significantly lower, even after 6 h, for timolol palmitate CDA-loaded hydrogel versus free timolol maleate, thereby potentially reducing the risk of systemic side effects. This innovative approach redefines the role of CDAs and provides a framework for long-acting ocular therapeutics, shifting their perception from a drug screening challenge to a powerful tool for sustained local drug delivery.

'Applications of machine learning in liposomal formulation and development'

Machine learning (ML) has emerged as a transformative tool in drug delivery, particularly in the design and optimization of liposomal formulations. This review focuses on the intersection of ML and liposomal technology, highlighting how advanced algorithms are accelerating formulation processes, predicting key parameters, and enabling personalized therapies. ML-driven approaches are restructuring formulation development by optimizing liposome size, stability, and encapsulation efficiency while refining drug release profiles. Additionally, the integration of ML enhances therapeutic outcomes by enabling precision-targeted delivery and minimizing side effects. This review presents current breakthroughs, challenges, and future opportunities in applying ML to liposomal systems, aiming to improve therapeutic efficacy and patient outcomes in various disease treatments.

Gold-thiol-beaded albumin nanoparticles for chemo-combined pulsatile plasmonic laser therapy of Rheumatoid arthritis in rat model

Rheumatoid arthritis (RA) is a chronic inflammatory immune disease that causes synovial membrane inflammation and destruction of articular cartilage. Traditionally, methotrexate is a first-line drug for RA treatment. However, its therapeutic benefits are insufficient. Pulsatile Plasmonic laser therapy (PPLT) has recently emerged as a localized and new-generation intervention for RA. This investigation reports the development of nanoGold-thiol-beaded albumin nanoparticles containing Leflunomide (GTBA-NP-L; 54 nm, PDI: 0.15 and entrapment efficiency: >90 %) for treating RA in an arthritic rat model. Upon irradiation of the plasmonic laser, the nanoGold component of GTBA-NP-L showed a local thermogenic effect (1.5 W/cm2 for 5 mins: ∼45 °C). This local thermal effect enhances drug release (1.5-fold) while co-delivering heat and antiarthritic leflunomide at inflamed RA joints site. In vitro and in vivo studies demonstrated significant antiarthritic effects of GTBA-NP-L, accompanied by reduced inflammatory stress in lipopolysaccharide (LPS)-activated RAW 264.7 macrophage cells and antigen-induced arthritis (AIA) rat model. GTBA-NP-L treatment significantly reduced the cell viability (49.66 ± 2.46 %), apoptosis (83.36 ± 4.30 %), cell cycle arrest (38.28 ± 2.85 %), ROS and Nitrite stress levels (178.92 ± 19.79 %), and suppressed pro-inflammatory cytokines (TNF-α: 4.81, IL-6: 3.07 and IL-1β: 4.46-fold). In the arthritic rat, GTBA-NP-L treatment reduced inflammation, paw edema (1.89-fold), pain perception (45-48 %), and impacted hematological (Hb and RBCs: 12-15 %, WBCs: 30-32 %), serological (RF: 50-54 %, CRP: 40-47 %), and radiological parameters. Conclusively, the study demonstrates that the chemo-combined Pulsatile Plasmonic laser therapy showed superior efficacy as compared to individual treatments, suggesting GTBA-NP-L as a potential therapeutic candidate for rheumatoid arthritis.

Skin Tolerability of Oleic Acid Based Nanovesicles Designed for the Improvement of Icariin and Naproxen Percutaneous Permeation

Deformable nanovesicles have a crucial role in topical drug delivery through the skin, due to their capability to pass intact the stratum corneum and epidermis (SCE) and significantly increase the efficacy and accumulation of payloads in the deeper layers of the skin. Namely, lipid-based ultradeformable nanovesicles are versatile and load bioactive molecules with different physicochemical properties. For this reason, this study aims to make oleic acid based nanovesicles (oleosomes) for the codelivery of icariin and sodium naproxen and increase their permeation through the skin. Oleosomes have suitable physicochemical properties and long-term stability for a potential dermal or transdermal application. The inclusion of oleic acid in the lipid bilayer increases 3-fold the deformable properties of oleosomes compared to conventional liposomes and significantly improves the percutaneous permeation of icariin and sodium naproxen through the human SCE membranes compared to hydroalcoholic solutions of both drugs. The tolerability studies on human volunteers demonstrate that oleosomes are safer and speed up the recovery of transepidermal water loss (TEWL) baselines compared to saline solution. These results highlight promising properties of icariin/sodium naproxen coloaded oleosomes for the treatment of skin disorders and suggest the potential future applications of these nanovesicles for further in vivo experiments.

A comparative study on the stability and coagulation removal of aged vs. nonaged nanoplastics in surface water

Nanoplastics (NPs) are released into surface water due to the widespread use of plastics, undergoing aging from environmental and human factors that alter their physical and chemical characteristics. However, detecting NPs remains challenging, resulting in limited research on their behavior in surface water and their removal efficiency by drinking water treatment. This study utilizes palladium-doped polystyrene nanoplastics (PSNPs) as tracers to enable precise detection and quantification through ICP-MS, thereby overcoming the limitations of conventional detection methods. PSNPs are aged using solar irradiation and ozone to simulate both natural and artificial aging processes, affecting the physical and chemical properties of NPs, which in turn influence their behavior in water treatment systems. Moreover, the study investigates the impact of various coagulation conditions, including different coagulants (AlCl3 and PACl), pH levels (4-9), and humic acid (HA) concentrations (0-10 mg/L), on the of both aged and nonaged NPs. The results demonstrate solar aging triggers significant morphological changes in PSNPs, while ozone aging induces more oxygen functional groups on PSNPs (CIozone=20.99; CIsolar=0.70), increasing sensitivity to HA concentrations and resulting in reduced removal efficiencies for ozone aged PSNPs by AlCl3 (68.68 %) and PACl (74.74 %). In addition, PACl achieves higher PSNPs removal efficiencies (REmin=88.59 %) than that of AlCl3 (REmin=85.57 %) under varied pH levels. This research fills a gap in understanding aged NPs behavior in surface water and offers practical solutions for optimizing coagulation for NPs removal, enhancing our ability to predict NPs environmental fate and manage NPs pollution to ensure drinking water safety.

The Role of Artificial Intelligence and Machine Learning in Accelerating the Discovery and Development of Nanomedicine

The unique potential of nanomedicine to address challenging health issues is rapidly advancing the field, leading to the generation of more effective products. However, these complex systems often pose several challenges with respect to their design for specific functionality, scalable manufacturing, characterization, quality control, and clinical translation. In this regard, the application of artificial intelligence (AI) and machine learning (ML) approaches can enable faster and more accurate data assessment, identifying trends and predicting outcomes, leading to efficient nanomedicine product development. This perspective paper discusses the potential of AI and ML in nanomedicine product development with a focus on their applications in discovery, assessment, manufacturing, and clinical trials. The potential limitations of AI and ML approaches in nanomedicine product development are also covered.

Computational-Aided Approach for the Optimization of Microfluidic-Based Nanoparticles Manufacturing Process

In the last few years, the microfluidic production of nanoparticles (NPs) is becoming a promising alternative to conventional industrial approaches (e.g., nanoprecipitation, salting out, and emulsification-diffusion) thanks to the production efficiency, low variability, and high controllability of the production parameters. Nevertheless, the development of new formulations and the switching of the production process toward microfluidic platforms requires expensive and time-consuming number of experiments for the tuning of the formulation to obtain NPs with specific morphological and functional characteristics. In this work, we developed a computational fluid dynamic pipeline, validated through an ad hoc experimental strategy, to reproduce the mixing between the solvent and anti-solvent (i.e., acetonitrile and TRIS-HCl, respectively). Moreover, beyond the classical variables able to describe the mixing performances of the microfluidic chip, novel variables were described in order to assess the region of the NPs formation and the changing of the amplitude of the precipitation region according to different hydraulic conditions. The numerical approach proved to be able to capture a progressive reduction of the nanoprecipitation region due to an increment of the flow rate ratio; in parallel, through the experimental production, a progressive increment of the NPs size heterogeneity was observed with the same fluid dynamic conditions. Hence, the preliminary comparison between numerical and experimental evidence proved the effectiveness of the computational strategy to optimize the NPs manufacturing process.

Preclinical evaluation of polymer encapsulated carbon-based nano and microparticles for sentinel lymph node tattooing

Selective sentinel lymph node biopsy (SNLB) is the standard method for detecting regional metastases in breast cancer patients. Identifying affected axillary lymph nodes before neoadjuvant treatment is crucial, as such treatment may alter drainage pathways and lymph node morphology, hindering the identification of sentinel lymph nodes. The use of carbon-based tattooing on sentinel lymph nodes (SLN) has been employed as a permanent tattooing method in clinical studies of Targeted Axillary Dissection (TAD), aiding in the SLN identification during surgery. Our study introduces a new method of lymph node tattooing based on poly lactic-co-glycolic (PLGA) particles with encapsulated carbon. This strategy substantially improves tattooing efficiency over single carbon suspensions currently used in clinical studies. We synthesized and characterized carbon-loaded PLGA micro- and nanoparticles, experimentally assessing their biological impact on porcine lymph nodes. The effect of particles' size and concentration was evaluated over time (from 1 to 16 weeks). Light and electron microscopy studies were conducted to characterize the cellular effects induced by the presence of these particles. Our findings reveal that the diverse physicochemical parameters of the particles interact differently with the lymphatic tissue, influencing their biodistribution within the lymph nodes and the intensity of the inflammatory response.

Near-Infrared Light Photodynamic Therapy with PEI-Capped Up-Conversion Nanoparticles and Chlorin e6 Induces Apoptosis of Oral Cancer Cells

Oral squamous cell carcinoma (OSCC) is a common malignancy in the oral cavity. Photodynamic therapy (PDT) is a new alternative for the treatment of diseases using photosensitizers (PS) and light. In this study, we used a photosensitizer complex (Ce6-MnNPs-Chlorin e6 combined with up-conversion nanoparticles NaYF4:Yb/Er/Mn) to investigate the therapeutic effectiveness of this treatment against oral cancer cells. We also investigated the mechanism of action of near-infrared light PDT (NIR-PDT) combined with the Ce6-MnNPs. After determining a suitable concentration of Ce6-MnNPs using an MTT assay, human oral squamous cell carcinoma cells (HSC-3) were treated with NIR-PDT with Ce6-MnNPs. We examined the characteristics of Ce6-MnNPs by transmission electron microscopy (TEM); a zeta potential and particle size analyzer; Fourier-transform infrared spectroscopy (FTIR); cell viability by MTT assay; and apoptosis by FITC-Annexin V/PI assay. The mitochondrial membrane potential (MMP), apoptosis-related mRNA level (Bax and Bcl-2) and p53 protein were also researched. NIR-PDT with 0.5 ng/µL Ce6-MnNPs inhibited the proliferation of HSC-3 (p < 0.05). After treatment with NIR-PDT, changes in the mitochondrial membrane potential and apoptosis occurred (p < 0.01). The ratio of Bax/Bcl-2 and p53-positive cells increased (p < 0.01). These results suggest that this treatment can induce apoptosis of oral cancer cells.

Leveraging machine learning to streamline the development of liposomal drug delivery systems

Drug delivery systems efficiently and safely administer therapeutic agents to specific body sites. Liposomes, spherical vesicles made of phospholipid bilayers, have become a powerful tool in this field, especially with the rise of microfluidic manufacturing during the COVID-19 pandemic. Despite its efficiency, microfluidic liposomal production poses challenges, often requiring laborious, optimization on a case-by-case basis. This is due to a lack of comprehensive understanding and robust methodologies, compounded by limited data on microfluidic production with varying lipids. Artificial intelligence offers promise in predicting lipid behaviour during microfluidic production, with the still unexploited potential of streamlining development. Herein we employ machine learning to predict critical quality attributes and process parameters for microfluidic-based liposome production. Validated models predict liposome formation, size, and production parameters, significantly advancing our understanding of lipid behaviour. Extensive model analysis enhanced interpretability and investigated underlying mechanisms, supporting the transition to microfluidic production. Unlocking the potential of machine learning in drug development can accelerate pharmaceutical innovation, making drug delivery systems more adaptable and accessible.

Design and optimization of chitosan-coated solid lipid nanoparticles containing insulin for improved intestinal permeability using piperine

The objective of this research was to optimize the composition and performance of chitosan-coated solid lipid nanoparticles carrying insulin (Ch-In-SLNs) and to assess the potential of piperine in enhancing the intestinal permeability of insulin from these SLNs in vitro. The SLNs were formulated from glyceryl behenate (GB), soya lecithin, and poloxamer® 407, and then coated with a combination of chitosan and piperine to facilitate insulin penetration across the gastrointestinal (GI) mucosa. A Box-Behnken Design (BBD) was utilized to optimize the Ch-In-SLNs formulations, with PDI, particle size, zeta potential, and association efficiency (AE) serving as the response variables. The resulting Ch-In-SLNs exhibited excellent monodispersity (PDI = 0.4), optimal particle size (654.43 nm), positive zeta potential (+36.87 mV), and low AE values. The Ch-In-SLNs demonstrated sustained release of insulin for 12 h in simulated gastric fluid (SGF) and intestinal fluid (SIF), with increased release in the latter. After incubation in SGF and SIF for 12 h, the insulin SLNs retained 54 and 41 % of their initial insulin load, respectively, indicating effective protection from gastric enzymes. Permeation studies using goat intestine and Caco-2 cell lines indicated improved insulin permeation in the presence of piperine. Additionally, cell uptake studies confirmed the role of piperine in enhancing insulin permeation.

Oral Active Carbon Quantum Dots for Diabetes

BACKGROUND/OBJECTIVES

Metformin (Met), an oral drug used to treat type II diabetes, is known to control blood glucose levels. Metformin carbon quantum dots (MetCQDs) were prepared to enhance the bioavailability and effectiveness of metformin. Several studies have shown that carbon quantum dots (CQDs) have attractive properties like small particle size, high penetrability, low cytotoxicity, and ease of synthesis. CQDs are made from a carbon source, namely, citric acid, and a heteroatom, such as nitrogen. The active molecule can be a carbon source or a heteroatom, as reported here.

METHODS

This study aims to produce MetCQDs from an active molecule. MetCQDs were successfully produced by microwave-based production methods and characterized. The effect of the MetCQDs was tested in Wistar albino rats following a Streptozocin-induced diabetic model.

RESULTS

The results show that the products have a particle size of 9.02 ± 0.04 nm, a zeta potential of -10.4 ± 0.214 mV, and a quantum yield of 15.1 ± 0.045%. Stability studies and spectrophotometric analyses were carried out and the effectiveness of MetCQDs evaluated in diabetic rats. The results show a significant reduction in blood sugar levels (34.1-51.1%) compared to the group receiving only metformin (37.1-55.3%) over a period of 30 to 360 min. Histopathological examinations of the liver tissue indicate improvement in the liver health indicators of the group treated with MetCQDs.

CONCLUSIONS

Based on these results, the products have potential therapeutic advantages in diabetes management through their increased efficacy and may have reduced side effects compared to the control group.

Prolonged Skin Retention of Luliconazole from SLNs Based Topical Gel Formulation Contributing to Ameliorated Antifungal Activity

The development of effective therapy is necessary because the patients have to contend with long-term therapy as skin fungal infections usually relapse and are hardly treated. Despite being a potent antifungal agent, luliconazole (LCZ) has certain shortcomings such as limited skin penetration, low solubility in aqueous medium, and poor skin retention. Solid Lipid Nanoparticles (SLNs) were developed using biodegradable lipids by solvent injection method and were embodied into the gel base for topical administration. After in-vitro characterizations of the formulations, molecular interactions of the drug with excipients were analyzed using in-silico studies. Ex-vivo release was determined in contrast to the pure LCZ and the commercial formulation followed by in-vivo skin localization, skin irritation index, and antifungal activity. The prepared SLNs have an average particle size of 290.7 nm with no aggregation of particles and homogenous gels containing SLNs with ideal rheology and smooth texture properties were successfully prepared. The ex-vivo LCZ release from the SLN gel was lower than the commercial formulation whereas its skin deposition and skin retention were higher as accessed by CLSM studies. The drug reaching the systemic circulation and the skin irritation potential were found to be negligible. The solubility and drug retention in the skin were both enhanced by the development of SLNs as a carrier. Thus, SLNs offer significant advantages by delivering long lasting concentrations of LCZ at the site of infection for a complete cure of the fungal load together with skin localization of the topical antifungal drug.

Adsorption performance and mechanism of a starch-stabilized ferromanganese binary oxide for the removal of phosphate

Effective removal of phosphate from water is essential for preventing the eutrophication and worsening of water quality. This study aims to enhance phosphate removal by synthesizing starch-stabilized ferromanganese binary oxide (FMBO-S), discover the factors, and investigate adsorption mechanisms. FMBO and FMBO-S properties were studied using Scanning Electron Microscopy, BET analysis, Polydispersity Index (PDI), Fourier Transform Infrared Spectroscopy, and X-ray Photoelectron Spectroscopy (XPS). After starch loading, the average pore diameter increased from 14.89 Å to 25.16 Å, and significantly increased the pore volume in the mesopore region. FMBO-S showed a PDI value below 0.5 indicating homogeneous size dispersity and demonstrated faster and higher adsorption capacity: 61.24 mg g-1 > 28.57 mg g-1. Both FMBO and FMBO-S adsorption data fit well with the pseudo-second-order and Freundlich models, indicating a chemisorption and multilayered adsorption process. The phosphate adsorption by FMBO was pH-dependent, suggesting electrostatic attraction as the dominant mechanism. For the FMBO-S, phosphate adsorption was favored in a wide pH range, despite the weaker electrostatic attraction as evident from the point of zero charge and zeta potential values, indicating ligand exchange as a main mechanism. Moreover, the XPS analysis shows a significant change in the proportion of Fe species for FMBO-S than FMBO after phosphate adsorption, indicating significant involvement of Fe. Meanwhile, phosphate adsorption was almost unaffected by the presence of Cl-, NO3-, and SO42- anions, whereas CO32- significantly reduced the adsorption capacity. This study revealed that FMBO-S could be a promising, low-cost adsorbent for phosphate removal and recovery from water.

Combined SERS-Raman screening of HER2-overexpressing or silenced breast cancer cell lines

BACKGROUND

Breast cancer (BC) is a heterogeneous neoplasm characterized by several subtypes. One of the most aggressive with high metastasis rates presents overexpression of the human epidermal growth factor receptor 2 (HER2). A quantitative evaluation of HER2 levels is essential for a correct diagnosis, selection of the most appropriate therapeutic strategy and monitoring the response to therapy.

RESULTS

In this paper, we propose the synergistic use of SERS and Raman technologies for the identification of HER2 expressing cells and its accurate assessment. To this end, we selected SKBR3 and MDA-MB-468 breast cancer cell lines, which have the highest and lowest HER2 expression, respectively, and MCF10A, a non-tumorigenic cell line from normal breast epithelium for comparison. The combined approach provides a quantitative estimate of HER2 expression and visualization of its distribution on the membrane at single cell level, clearly identifying cancer cells. Moreover, it provides a more comprehensive picture of the investigated cells disclosing a metabolic signature represented by an elevated content of proteins and aromatic amino acids. We further support these data by silencing the HER2 gene in SKBR3 cells, using the RNA interference technology, generating stable clones further analysed with the same combined methodology. Significant changes in HER2 expression are detected at single cell level before and after HER2 silencing and the HER2 status correlates with variations of fatty acids and downstream signalling molecule contents in the context of the general metabolic rewiring occurring in cancer cells. Specifically, HER2 silencing does reduce the growth ability but not the lipid metabolism that, instead, increases, suggesting that higher fatty acids biosynthesis and metabolism can occur independently of the proliferating potential tied to HER2 overexpression.

CONCLUSIONS

Our results clearly demonstrate the efficacy of the combined SERS and Raman approach to definitely pose a correct diagnosis, further supported by the data obtained by the HER2 gene silencing. Furthermore, they pave the way to a new approach to monitor the efficacy of pharmacologic treatments with the aim to tailor personalized therapies and optimize patients' outcome.

Microencapsulation of Essential Oils Using Faba Bean Protein and Chia Seed Polysaccharides via Complex Coacervation Method

The aim of this study was to develop microcapsules containing juniper or black pepper essential oils, using a combination of faba bean protein and chia seed polysaccharides (in ratios of 1:1, 1:2, 2:1). By synergizing these two polymers, our goal was to enhance the efficiency of essential oil microencapsulation, opening up various applications in the food industry. Additionally, we aimed to investigate the influence of different polymer mixing ratios on the properties of the resulting microcapsules and the course of the complex coacervation process. To dissolve the essential oils and limit their evaporation, soybean and rapeseed oils were used. The powders resulting from the freeze-drying of coacervates underwent testing to assess microencapsulation efficiency (65.64-87.85%), density, flowability, water content, solubility, and hygroscopicity. Additionally, FT-IR and DSC analyses were conducted. FT-IR analysis confirmed the interactions between the components of the microcapsules, and these interactions were reflected in their high thermal resistance, especially at a protein-to-polysaccharide ratio of 2:1 (177.2 °C). The water content in the obtained powders was low (3.72-7.65%), but it contributed to their hygroscopicity (40.40-76.98%).

A comparative study of explainable ensemble learning and logistic regression for predicting in-hospital mortality in the emergency department

This study addresses the challenges associated with emergency department (ED) overcrowding and emphasizes the need for efficient risk stratification tools to identify high-risk patients for early intervention. While several scoring systems, often based on logistic regression (LR) models, have been proposed to indicate patient illness severity, this study aims to compare the predictive performance of ensemble learning (EL) models with LR for in-hospital mortality in the ED. A cross-sectional single-center study was conducted at the ED of Imam Reza Hospital in northeast Iran from March 2016 to March 2017. The study included adult patients with one to three levels of emergency severity index. EL models using Bagging, AdaBoost, random forests (RF), Stacking and extreme gradient boosting (XGB) algorithms, along with an LR model, were constructed. The training and validation visits from the ED were randomly divided into 80% and 20%, respectively. After training the proposed models using tenfold cross-validation, their predictive performance was evaluated. Model performance was compared using the Brier score (BS), The area under the receiver operating characteristics curve (AUROC), The area and precision-recall curve (AUCPR), Hosmer-Lemeshow (H-L) goodness-of-fit test, precision, sensitivity, accuracy, F1-score, and Matthews correlation coefficient (MCC). The study included 2025 unique patients admitted to the hospital's ED, with a total percentage of hospital deaths at approximately 19%. In the training group and the validation group, 274 of 1476 (18.6%) and 152 of 728 (20.8%) patients died during hospitalization, respectively. According to the evaluation of the presented framework, EL models, particularly Bagging, predicted in-hospital mortality with the highest AUROC (0.839, CI (0.802-0.875)) and AUCPR = 0.64 comparable in terms of discrimination power with LR (AUROC (0.826, CI (0.787-0.864)) and AUCPR = 0.61). XGB achieved the highest precision (0.83), sensitivity (0.831), accuracy (0.842), F1-score (0.833), and the highest MCC (0.48). Additionally, the most accurate models in the unbalanced dataset belonged to RF with the lowest BS (0.128). Although all studied models overestimate mortality risk and have insufficient calibration (P > 0.05), stacking demonstrated relatively good agreement between predicted and actual mortality. EL models are not superior to LR in predicting in-hospital mortality in the ED. Both EL and LR models can be considered as screening tools to identify patients at risk of mortality.

Doxorubicin-Based Ionic Nanomedicines for Combined Chemo-Phototherapy of Cancer

Synergistic combination therapy approach offers lots of options for delivery of materials with anticancer properties, which is a very promising strategy to treat a variety of malignant lesions with enhanced therapeutic efficacy. The current study involves a detailed investigation of combination ionic nanomedicines where a chemotherapeutic drug is coupled with a photothermal agent to attain dual mechanisms (chemotherapy (chemo) and photothermal therapy (PTT)) to improve the drug's efficacy. An FDA-approved Doxorubicin hydrochloride (DOX·HCl) is electrostatically attached with a near-infrared cyanine dye (ICG, IR783, and IR820), which serves as a PTT drug using ionic liquid chemistry to develop three ionic material (IM)-based chemo-PTT drugs. Carrier-free ionic nanomedicines (INMs) are derived from ionic materials (IMs). The photophysical properties of the developed combination IMs and their INMs were studied in depth. The phototherapeutic efficiency of the combination drugs was evaluated by measuring the photothermal conversion efficiency and singlet-oxygen quantum yield. The improved photophysical properties of the combination nanomedicines in comparison to their parent compounds significantly enhanced INMs' photothermal efficiency. Cellular uptake, dark and light toxicity studies, and cell death mechanisms of the chemo-PTT nanoparticles were also studied in vitro. The combination INMs exhibited enhanced cytotoxicity compared to their respective parent compounds. Moreover, the apoptosis cell death mechanism was almost doubled for combination nanomedicine than the free DOX, which is attributed to enhanced cellular uptake. Examination of the combination index and improved in vitro cytotoxicity results revealed a great synergy between chemo and PTT drugs in the developed combination nanomedicines.

Comparative Antibacterial and Efflux Pump Inhibitory Activity of Isolated Nerolidol, Farnesol, and α-Bisabolol Sesquiterpenes and Their Liposomal Nanoformulations

The efflux systems are considered important mechanisms of bacterial resistance due to their ability to extrude various antibiotics. Several naturally occurring compounds, such as sesquiterpenes, have demonstrated antibacterial activity and the ability to inhibit efflux pumps in resistant strains. Therefore, the objective of this research was to analyze the antibacterial and inhibitory activity of the efflux systems NorA, Tet(K), MsrA, and MepA by sesquiterpenes nerolidol, farnesol, and α-bisabolol, used either individually or in liposomal nanoformulation, against multi-resistant Staphylococcus aureus strains. The methodology consisted of in vitro testing of the ability of sesquiterpenes to reduce the Minimum Inhibitory Concentration (MIC) and enhance the action of antibiotics and ethidium bromide (EtBr) in broth microdilution assays. The following strains were used: S. aureus 1199B carrying the NorA efflux pump, resistant to norfloxacin; IS-58 strain carrying Tet(K), resistant to tetracyclines; RN4220 carrying MsrA, conferring resistance to erythromycin. For the EtBr fluorescence measurement test, K2068 carrying MepA was used. It was observed the individual sesquiterpenes exhibited better antibacterial activity as well as efflux pump inhibition. Farnesol showed the lowest MIC of 16.5 µg/mL against the S. aureus RN4220 strain. Isolated nerolidol stood out for reducing the MIC of EtBr to 5 µg/mL in the 1199B strain, yielding better results than the positive control CCCP, indicating strong evidence of NorA inhibition. The liposome formulations did not show promising results, except for liposome/farnesol, which reduced the MIC of EtBr against 1199B and RN4220. Further research is needed to evaluate the mechanisms of action involved in the inhibition of resistance mechanisms by the tested compounds.