Search Results (2,059)

Background: Gall bladder cancer (GBC) is the most common biliary tract malignancy and is often diagnosed at advanced stages, partly due to the absence of reliable biomarkers and limited understanding of its biology in African populations. This study aimed to characterize the metabolomic and lipoprotein profiles of GBC patients of Black African ancestry. Methods: NMR spectroscopy was used to profile the serum samples. Group comparisons used Wilcoxon tests, correlations used Spearman’s rank test, unsupervised analysis was carried out using the KODAMA algorithm, partial least squares modeling estimated free cholesterol (FC) to cholesterol ester (CE) ratios, while multivariate logistic regression evaluated independent predictors. Results: GBC patients showed altered ethanol levels and dysregulated lipoproteins, including increased IDL-C, IDL-TG, and LDL-TG, and decreased HDL-C, HDL-P, and medium HDL-P. Total and conjugated bilirubin strongly correlated with lipoproteins. Unsupervised analysis revealed a GBC subgroup with abnormal lipoprotein profiles and elevated FC/CE ratios, suggesting cholestasis-related LpX formation. Elevated asparagine, reduced ethanol, and an inflammatory metabolic signature characterized the GBC fingerprint. Ethanol and bilirubin emerged as independent predictors of GBC. Conclusions: GBC patients exhibit distinct metabolomic and lipoprotein alterations that may underlie disease progression and serve as potential biomarkers. These findings enhance understanding of GBC pathophysiology in African populations and may inform future diagnostic strategies. Full article

The rising demand for platinum-group metals, driven by their essential applications in catalysis, energy storage, and chemical conversion, underscores the need to identify new sources for their recovery. Waste solutions originating from industrial processes offer a promising alternative source of noble metals. However, due to their typically low concentrations, effective recovery requires a highly targeted approach. In this study, we present a synthetic waste solution containing trace amount of Rh(III) ions as both a medium for metal ion recovery and a direct precursor for catalyst synthesis. Using a bimodal water–ethanol solvent system, ultra-small rhodium nanoparticles were synthesized and subsequently immobilized onto activated carbon fibers (ACFs) within a microreactor system. The resulting Rh@ACF catalyst demonstrated high efficiency in the reduction of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP), serving as a model catalytic reaction. The Rh@ACF catalyst, containing 4.24 µg Rh per milligram of sample, exhibited notable catalytic activity, achieving 75% conversion of 4-NP to 4-AP within 1 h. Full conversion to 4-AP was also reached within 5 min, but requires extra NaBH₄ addition to the catalytic mixture. Full article

Alcohol Use Disorder (AUD) profoundly impacts individuals and society, driven by neurobiological adaptations that sustain chronicity and relapse. Emerging research highlights neuroinflammation, particularly microglial activation, as a central mechanism in AUD pathology. Ethanol engages microglia—the brain’s immune cells—through key signaling pathways such as Toll-like receptor 4 (TLR4) and the NLRP3 inflammasome, triggering the release of proinflammatory cytokines (IL-1β, TNF-α, IL-6). These mediators alter synaptic plasticity in addiction-related brain regions, including the ventral tegmental area, nucleus accumbens, amygdala, and lateral habenula, thereby exacerbating cravings, withdrawal symptoms, and relapse risk. Rodent models reveal that microglial priming disrupts dopamine signaling, heightening impulsivity and anxiety-like behaviors. Human studies corroborate these findings, demonstrating increased microglial activation markers in postmortem AUD brains and neuroimaging analyses. Notably, sex differences influence microglial reactivity, complicating AUD’s neuroimmune landscape and necessitating sex-specific research approaches. Microglia-targeted therapies—including minocycline, ibudilast, GLP-1 receptor agonists, and P2X7 receptor antagonists—promise to mitigate neuroinflammation and reduce alcohol intake, yet clinical validation remains limited. Addressing gaps such as biomarker identification, longitudinal human studies, and developmental mechanisms is critical. Leveraging multi-omics tools and advanced neuroimaging can refine microglia-based therapeutic strategies, offering innovative avenues to break the self-sustaining cycle of AUD. Full article

The low water solubility of sulfamethazine (SMT) limits its clinical efficacy, making it crucial to study techniques such as cosolvency to optimize pharmaceutical formulations. This study aimed to thermodynamically evaluate the solubility of SMT in {acetonitrile (MeCN) + ethanol (EtOH)} cosolvent mixtures over a temperature range of 278.15 to 318.15 K in order to understand the molecular interactions that govern this process. SMT solubility in the mixtures was measured using a flask-shaking method. The solid phases were analyzed using differential scanning calorimetry (DSC) to rule out polymorphisms. Using the Gibbs–van’t Hoff–Krug model, we calculated the apparent thermodynamic functions of the solution and mixture from the obtained data. The results showed that solubility increased almost linearly with MeCN fraction and temperature, indicating that MeCN is a more efficient solvent and that the process is endothermic. Thermodynamic analysis revealed that dissolution is an endothermic process with favorable entropy for all compositions. The higher solubility in MeCN is attributed to the lower energetic cost required to form the solute cavity compared to the high energy needed to disrupt the hydrogen bond network of ethanol. This behavior can be explained by an enthalpy–entropy compensation phenomenon. This phenomenon provides an essential physicochemical basis for designing pharmaceutical processes. Full article

Background: Although electrohydrodynamic atomization (EHDA) consistently provides drug-encapsulation efficiencies (DEE) far above those of conventional bottom-up nanotechnologies, the question of how to systematically push that efficiency even higher remains largely unexplored. Methods: This study introduces a modified triaxial electrospinning protocol tailored to the application and benchmarks it against two conventional techniques: single-fluid blending and coaxial electrospinning. Ethylcellulose (EC) served as the polymeric matrix, while curcumin (Cur) was chosen as the model drug. In the triaxial setup, an electrospinnable, drug-free EC solution was introduced as an intermediate sheath to act as a molecular barrier, preventing Cur diffusion from the core fluid. Ethanol alone was used as the outermost fluid to guarantee a stable and continuous jet. Results: This strategy provided a DEE value of 98.74 ± 6.45%, significantly higher than the 93.74 ± 5.39% achieved by coaxial electrospinning and the 88.63 ± 7.36% obtained with simple blending. Sustained-release testing revealed the same rank order: triaxial fibers released Cur the most slowly and exhibited the smallest initial burst release effect, followed by coaxial and then blended fibers. Mechanistic models for both fiber production and drug release are proposed to clarify how the tri-layer core–shell structure translates into superior performance. Conclusions: The modified triaxial electrospinning was able to open a new practical route to produce core-sheath nanofibers. These nanofibers could provide a higher DEE and a better sustained drug release profile than those from the coaxial and blending processes. Full article

Liposomes are lipid bilayer vesicles that are highly biocompatible, able to interact with the cell membrane, and able to release their cargo easily. The improvement of the physicochemical properties of liposomes, such as surface charge, lipid composition, and functionalization, makes these vesicles eligible delivery nanosystems for the gene therapy of many pathological conditions. In the present study, pre-formulation analysis was conducted to develop liposomes that facilitate the delivery of nucleic acids to neuronal cells, with the aim of future delivery of a CRISPR/Cas9 system designed to silence genes responsible for autosomal dominant neurodegenerative disorders. To this aim, different nucleic acid cargo models, including λ phage DNA, plasmid DNA, and mRNA encoding GFP, were considered. Liposomes with varying lipid compositions were produced using the ethanol injection method and analyzed for their dimensional stability and ability to interact with DNA. The selected formulations were tested in vitro using a neuroblastoma cell line (SH-SY5Y) to evaluate their potential toxicity and the ability to transfect cells with a DNA encoding the green fluorescent protein (pCMV-GFP). Among all formulations, the one containing phosphatidylcholine, phosphatidylethanolamine, pegylated 1,2-distearoyl-sn-glycero-3-phosphethanolamine, cholesterol, and dioctadecyl-dimethyl ammonium chloride (in the molar ratio 1:2:4:2:2) demonstrated the highest efficiency in mRNA delivery. Although this study was designed with the goal of ultimately enabling the delivery of a CRISPR/Cas9 system for treating autosomal dominant neurodegenerative disorders such as polyglutamine spinocerebellar ataxias (SCAs), CRISPR/Cas9 components were not delivered in the present work, and their application remains the objective of future investigations. Full article

Alcohol use disorder (AUD) is a widespread, multifaceted disorder involving overproduction of pro-inflammatory cytokines, oxidative liver injury, and dysfunction of the brain’s dopaminergic reward circuits. Korean red ginseng (KRG), an herbal supplement derived from Panax ginseng, has demonstrated qualities potentially useful to the treatment of AUD, including antioxidative, anti-inflammatory, neuroprotective, and anxiolytic effects. This review examines active constituents of KRG, their pharmacological actions, and evidence supporting KRG’s therapeutic potential in the context of AUD, while also assessing its safety profile, adverse effects, and potential drug interactions. KRG’s main bioactive constituents, ginsenosides, appear to have roles in modulating alcohol-metabolizing enzymes, ethanol-activated inflammatory cytokine cascades, and neurological systems disrupted by AUD, including GABAergic and dopaminergic pathways. Evidence from animal models and limited small-scale human trials suggests KRG may alleviate symptoms of alcohol withdrawal, enhance cognitive performance, and attenuate anxiety through these pathways. While generally safe for consumption, several case reports and animal studies have indicated KRG’s potential to pose a variety of risks in vulnerable populations at high, prolonged doses, including hepatotoxicity, cardiovascular changes, mood disturbances, and hormonal effects. Furthermore, KRG’s neuromodulating role and influence on cytochrome P450 enzymes make it liable to interact with several medications, including warfarin, midazolam, selegiline, and serotonergic agents. Overall, KRG shows promise as a complementary supplement in managing aspects of AUD, though current evidence is limited by low sample sizes, inconsistent reports regarding nuances of ginsenosides’ mechanisms, and a low number of human trials. Further human-focused research is needed to elucidate its safety, efficacy, and mechanism. Full article

This work aims to present tes-thermo, a Python library developed to solve thermodynamic equilibrium problems using the Gibbs energy minimization approach. The library is a variant of TeS v.3, a standalone executable developed for the same purpose. The tool formulates the chemical equilibrium problem of combined phases as a nonlinear programming problem, implemented using Pyomo (Python Optimization Modeling Objects) and solved with IPOPT (Interior Point OPTimizer). To validate the tool and demonstrate its robustness, the supercritical water gasification (SCWG) of methanol and ethanol was investigated. The Peng–Robinson equation of state was employed to account for non-idealities in the gas phase. Experimental and simulated data from the literature were used for validation, and, in both cases, the results were satisfactory, with root mean square errors consistently below 0.23. The SCWG processes studied revealed that hydrogen production is favored by increasing temperature and decreasing pressure. For both methanol and ethanol, increasing the carbonaceous substrate fraction in the feed promotes hydrogen formation; however, it also leads to reduced hydrogen relative yield due to the enhanced formation of methane and carbon monoxide under these conditions. Consequently, although hydrogen production increases, the hydrogen molar fraction in the dry gas stream tends to decrease with the higher substrate content. As expected, the SCWG of methanol produces more hydrogen and less carbon monoxide compared to ethanol under similar conditions. This behavior is consistent with the higher carbon content in ethanol, which favors reactions leading to carbon oxides. In summary, tes-thermo proves to be a robust and reliable tool for conducting research and studies on topics related to thermodynamic equilibrium. Full article

The main quality and safety issue in processing salted jellyfish for food is excessive aluminum. After dealumination, problems such as a low quality and short shelf life may occur. A method for reprocessing dealuminated jellyfish that can maintain quality and yield bactericidal effects is necessary. Alcohol provides astringent protein and bactericidal effects, and ethanol is safe and nontoxic. It can be added as needed in food production. The optimal processing conditions were determined by studying the mass transfer and quality changes in dealuminated jellyfish at different ethanol concentrations. The results revealed that both the ethanol concentration and pickling time significantly affected the mass transfer changes of substances in the pickling process for dealuminated jellyfish. The total mass of dealuminated jellyfish decreased with increasing ethanol concentration, whereas the ethanol content increased. The changes were more obvious at the early stages of pickling, and then tended to flatten out. The diffusion coefficient was the highest for the 45% pickling solution, and the texture characteristics were similar to those of edible jellyfish, thus rendering this solution more suitable for dealuminated jellyfish ethanol soaking. In addition, the mass transfer model for various substances in the pickling process for dealuminated jellyfish exhibited a suitable linear correlation with time, which can be effectively applied. Full article

Grape stems are an abundant by-product of winemaking and a promising source of phenolic antioxidants representing an underutilized biomass within the circular economy. Seven Vitis vinifera L. cultivars were analysed by HPLC DAD, with Merlot (Me), Cabernet Sauvignon (CS) and Italian Riesling (IR) identified as the richest sources. This comparative screening provided the basis for a multi-index optimization of extraction. A 2³ full factorial design (ethanol 30–60% v/v; 30–80 min; 25–65 °C) was used for optimization. The optimal green conditions—60% ethanol, 80 min, 65 °C—yielded 1.860 mg/g CA, 1.098 mg/g Q-gluc and 0.409 mg/g Q-glc, with the Merlot stems showing the highest extraction efficiency and Merlot consistently outperforming the other varieties. Kinetic modeling using an unsteady state diffusion model showed excellent agreement (R² ≈ 0.99, RMS < 2%), suggesting a leaching-diffusion mechanism. The thermodynamic parameters confirmed an endothermic, spontaneous and irreversible process with ΔH° between 19.5 and 36.6 kJ/mol, ΔS° between 69.1 and 131.6 J/molK and ΔG° between −1.1 and −9.2 kJ/mol, depending on the compound and grape stem variety. This study shows that grape stems can be efficiently utilised as a sustainable source of phenolic antioxidants, with potential applications in the production of functional foods and dietary supplements. This integration highlights the novelty of the study and supports the valorization of grape stems in the framework of sustainability and the circular economy. Full article

Background: Polyphenols from Sorbus aucuparia L. (rowanberry) fruits are valuable bioactive compounds, yet their efficient extraction remains a challenge. Ultrasound-assisted extraction (UAE) offers a promising technique to enhance yield, but optimization of parameters is necessary. Methods: UAE was performed using a VC750 processor (20 kHz) at ultrasound intensities of 1.3, 7.65, and 14 W/cm² in pulsed mode (2 s on, 4 s off). Sonication times of 5, 10, and 15 min (total extraction times: 15, 30, 45 min) and ethanol concentrations of 30%, 60%, and 90% were tested. Selected polyphenols (gallic acid, neochlorogenic acid, chlorogenic acid, vanillic acid, epicatechin, trans-ferulic acid, rutin, quercetin, cinnamic acid) were quantified using HPLC. Response Surface Methodology (RSM) was applied for process optimization. Results: High-quality predictive models were obtained, particularly for neochlorogenic acid. Ethanol concentration exerted the strongest influence on extraction efficiency for most of the studied polyphenols, whereas extraction time showed no significant effect. Conclusions: Ethanol concentration is a key factor in maximizing polyphenol yield from S. aucuparia fruits using UAE. These findings may guide selective extraction strategies for phenolic compounds at early stages of food and nutraceutical processing. Full article

This paper presents the dynamic behavior of a nonlinear bioreactor model designed for fermentation processes, subject to temperature variations throughout the day. Ethanol production is presented by analyzing the fermenter’s temperature, which is controlled by the flow of the cooling fluid (water) that passes through the fermenter jacket. To optimize ethanol production during a period, a control design considering the optimal linear feedback control (OLFC) designed for nonlinear systems is introduced to control the flow of the cooling fluid of the bioreactor. Numerical and computational simulations demonstrated that the proposed control is efficient in maintaining the temperature at the desired levels and is resistant to parametric variations. With the results obtained from the optimal control (OLFC) and state-dependent Riccati equation (SDRE) control, a neuro-fuzzy control system is obtained, thus enabling the application of the proposed control in other bioreactor systems with similar dynamics. Full article

Plants of the genus Porophyllum (Asteraceae) have traditional medicinal uses, but only 8 of 25 species have been studied. This study aimed to profile volatile compounds, phenolics, and fatty acids in dried leaves and stems of Porophyllum gracile and assess biological activities of extracts obtained using different solvents. GC-MS, HPLC-DAD, and GC-FID analyses identified over 120 compounds, including fatty acids, chlorogenic acid derivatives, quercetin derivatives, terpenes, ketones, aldehydes, and alcohols. Antioxidant activity in vitro (ABTS, DPPH, and FRAP assays) suggested a strong electron-transfer-mediated mechanism. In ARPE-19 cells under doxorubicin-induced oxidative stress, hexane and ethanolic extracts from leaves and stems significantly reduced intracellular reactive oxygen species, in some cases outperforming vitamin E. No antiproliferative activity was detected against cancer cell lines (MDA-MB-231, HeLa, A549, HCT 116, 22Rv1), nor cytotoxicity toward non-cancerous cells (ARPE-19, hFOB 1.19). This first detailed phytochemical characterization of P. gracile demonstrates its cellular antioxidant potential and supports its application as a natural antioxidant source in functional foods or nutraceuticals. Future work should elucidate mechanisms, isolate active compounds, and evaluate bioavailability in in vivo models. Full article

Liver fibrosis remains difficult to treat, in part because many hepatoprotective triterpenoids suffer from poor oral bioavailability and lack of optimized delivery formats. Ganoderma amboinense is a rare “antler” reishi species long valued in Eastern traditions yet scarcely studied for its phytochemical and pharmacological potential. Here, we report the first investigation of an ethanol-extracted G. amboinense sublingual dripping pill formulation (GDP) in a carbon-tetrachloride (CCl₄)–induced mouse model of liver fibrosis. Mice treated with GDP at one- and five-times the human equivalent dose were compared to groups receiving unprocessed G. amboinense powder (GP) or purified ganoderic acid A (GA-A). GDP significantly prevented CCl₄-induced weight loss and hepatomegaly, normalizing liver-to-body weight ratios and serum AST/ALT activities (p < 0.05). Histological evaluation showed that GDP markedly reduced hepatocellular necrosis and collagen deposition, restoring tissue architecture. Furthermore, GDP suppressed hepatic expression of pro-inflammatory cytokines (TNF-α, IL-6, IL-1β, COX-2) and profibrotic markers (TGF-β1, CTGF, α-SMA) to levels comparable with or superior to GA-A. These results demonstrate that a dripping pill dosage form can effectively deliver G. amboinense triterpenoids and unlock their hepatoprotective activity, supporting further development of GDP as a novel liver-support nutraceutical. Full article

Background/Objectives: Alcoholic liver disease (ALD) is intricately linked to gut microbiota dysbiosis and metabolic disturbances along the gut–liver axis. Octenyl succinic anhydride (OSA) starch escapes digestion in the small intestine and ferments in the colon, modulating gut microbiota and metabolism. This study explored the protective effects of OSA starch against ALD and elucidated the underlying gut microbiota–metabolite interactions. Methods: A chronic ethanol-fed mouse model was conducted to evaluate the protective effects of OSA starch against ALD, and multi-omics analyses integrating 16S rRNA sequencing, PICRUSt2 functional predictions, and metabolomics were used to reveal potential mechanism. Results: OSA starch supplementation in ALD mice significantly reduced liver fat accumulation, lowered the liver index to 4.11%, and restored serum transaminase levels closer to normal. Multi-omics analyses revealed that OSA starch enriched beneficial gut bacteria such as Faecalibaculum rodentium and Bifidobacterium adolescentis. OSA starch also enhanced microbial metabolic functions, including pyruvate, butanoate, and propanoate metabolism. These shifts were accompanied by regulation of fecal and serum metabolites, including pyruvate, 2-hydroxybutanoic acid, and lactic acid. Structural equation modeling further confirmed that OSA starch ameliorates ALD via coordinated modulation of gut microbiota, microbial functions, metabolites, and serum markers. Conclusions: OSA starch protects against alcoholic liver injury by remodeling the gut–liver metabolic network, presenting a promising dietary strategy for ALD. Full article