Search Results (3,268)

The global rise in antimicrobial resistance has spurred increased interest in alternative antimicrobial agents, particularly essential oils (EOs). These oils are complex mixtures of volatile compounds that exhibit documented biological activity. This study evaluated antimicrobial and antibiofilm effects of selected EOs against clinically relevant bacterial and fungal pathogens. Antimicrobial activity against planktonic cells was assessed using disc diffusion assays with DMSO-diluted EO solutions against Escherichia coli (E.coli), Staphylococcus aureus (S.aureus), Pseudomonas aeruginosa, Klebsiella pneumoniae, and Candida albicans. Antibiofilm activity of E. coli and S. aureus was examined using ethanol-based EO formulations, with biofilm viability quantified by colony forming unit (CFU) enumeration. Cinnamon (Cinnamomum verum) oil showed the strongest and most consistent activity, inhibiting planktonic and biofilm models. Tea tree (Melaleuca alternifolia), lemongrass (Cymbopogon citratus), rosemary (Rosmarinus officinalis), rose (Rosa damascena), and jasmine (Jasminum officinale) oils showed significant planktonic antimicrobial effects, while jasmine oil (Jasminum officinale) demonstrated pronounced antibiofilm activity against S. aureus, including strong biofilm eradication in several replicates. In contrast, chamomile (Matricaria chamomilla) and sandalwood (Santalum austocaledonicum) oils showed limited or no activity. These findings highlight differences between planktonic and biofilm responses, emphasizing the importance of incorporating biofilm models into antimicrobial evaluation. Overall, Cinnamomum verum and Jasminum officinale oils may serve as complementary antimicrobial agents, warranting further investigation. Full article

Wind and solar power generation represent crucial forms of clean energy utilisation, where generation efficiency is paramount. However, clean energy facilities such as wind turbine blades and photovoltaic sheets frequently cease operation during low temperatures due to ice and frost accumulation, resulting in energy wastage. This study investigates the mechanism of low-temperature surface frost formation through observational experiments. By comparing the temporal progression of frost accumulation on four materials—HIPS (high-impact polystyrene), ABS (Acrylonitrile Butadiene Styrene), acrylic, and acrylic sheet with low-temperature flexible superhydrophobic coating (LFSC)—it validates the anti-frost capabilities of superhydrophobic surfaces. The experimental results show that, under the same conditions, surface frosting gradually decreases as the contact angle of the material increases. After 15 min of frosting, the frost layer thicknesses of the four materials were 0.057 mm, 0.101 mm, 0.105 mm, and 0.275 mm, respectively, and the frost coverage per unit area was 12%, 68%, 76%, and 88%, respectively. The frost formed on the superhydrophobic coating surface was loose and thin, with a frost suppression efficiency exceeding 80%. In contrast, the three materials—HIPS, ABS, and untreated acrylic sheets—exhibited significant frost particle accumulation, and as time progressed, a cycle of frost crystal growth, melting, and regrowth occurred. This study demonstrates that superhydrophobic surfaces possess excellent frost-inhibiting capabilities, which can reduce the energy consumption associated with traditional defrosting methods such as heating and spraying chemical de-icing agents, thereby enabling the sustainable use of energy. Full article

Background/Objectives: Worldwide, diabetes is a 21st century disease with continuously increasing prevalence. Current medications often have long-term adverse effects, which is why new substances are needed to help combat these disadvantages. Methods: In this respect, the present study develops a series of compounds with potential antidiabetic activity, including synthesis, physicochemical–spectral characterization and in vitro–in silico evaluation. Results: The sulfonamide derivatives were obtained by condensation reactions of para-toluenesulfonamide (p-TSA) with two different isocyanates, directly or after the condensation reaction with urea. The spectroscopic methods, IR, ¹H-NMR, ¹³C-NMR, were used for the structural elucidation of the compounds to confirm the presence of the functional groups responsible for the antihyperglycemic action, namely amide, azomethine and sulfonyl groups. Cytotoxicity screening on NCTC fibroblasts confirmed the excellent safety profile of the most synthesized derivatives across the tested range (100–1500 μg/mL). In contrast, the p-TSA-c-d derivative showed a clear transition from a biocompatible profile at 100 μg/mL to a more cytotoxic phenotype at concentrations exceeding 750–1500 μg/mL. The synthesized derivatives, particularly p-TSA-c-d, exhibited remarkable antidiabetic potential by effectively inhibiting α-amylase and α-glucosidase, with IC₅₀ values as low as 46.54 μM, outperforming the standard reference acarbose. The molecular docking tests revealed different mechanisms for the inhibitory activity exerted by the p-TSA derivatives on the two targeted enzymes. Conclusions: Although these developed compounds can be considered promising antidiabetic agents, studies can be further deepened in the future by performing in vivo tests. Full article

Background: Neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis, represent a major global health burden and share convergent pathogenic mechanisms, such as mitochondrial dysfunction, oxidative stress, neuroinflammation, calcium imbalance, and neuronal loss. Despite advances in symptomatic management, effective disease-modifying therapies remain limited. Objectives: This review aims to critically synthesize mechanistic, preclinical, and clinical evidence on α-lipoic acid and biotin as candidate neuroprotective agents in neurodegenerative diseases, with emphasis on shared signaling pathways, therapeutic potential, generally favorable safety profiles, and translational limitations. Methods: A narrative and integrative review was conducted, encompassing mechanistic studies, preclinical experimental models, and clinical trials and observational studies evaluating ALA and biotin in neurodegenerative diseases. The evidence was qualitatively analyzed with attention to biological plausibility, consistency across models, and clinical relevance. Results: ALA and biotin modulate key cellular pathways implicated in neurodegeneration, including mitochondrial metabolism, redox homeostasis, inflammatory signaling, and neurovascular function. Preclinical studies consistently report beneficial effects on mitochondrial efficiency, oxidative stress, and neuroinflammatory markers. In contrast, clinical evidence remains heterogeneous, with more extensive evaluation of biotin in progressive multiple sclerosis and more limited or exploratory findings for ALA across neurodegenerative disorders. Conclusions: ALA and biotin exhibit mechanistic convergence across pathways relevant to neurodegeneration and generally favorable safety profiles. Although current evidence supports their biological plausibility as adjunctive or exploratory therapeutic strategies, clinical outcomes remain inconsistent and appear to be influenced by dosing regimens, disease stage at intervention, and endpoint selection. Well-designed clinical studies are required to define their efficacy, optimal dosing, and disease-specific applicability. Full article

The Analytic Hierarchy Process (AHP) is widely used in Multi-Criteria Decision Analysis (MCDA), yet its strong reliance on expert judgment constrains its scalability and may introduce variability in weighting outcomes, particularly in high-stakes applications such as wildfire risk assessment. In this study, we investigate how Large Language Models (LLMs) can function as decision-support agents in an AHP-style hierarchical evaluation task derived from validated wildfire literature. Based on this structure, four representative LLM-assisted strategies are examined: Direct LLM Scoring (DLS), Multi-Model Debate Scoring (MDS), Full-Document Prompting (FDP), and Indicator-Guided Prompting (IGP). To evaluate their effectiveness, we benchmark LLM-generated rankings against expert-defined ground truth across 16 sub-criteria. Using the mean correlation coefficient R as the key evaluation metric, with reported values expressed as mean ± standard deviation across models: DLS shows no correlation with expert rankings (R = 0.009 ± 0.070), MDS yields marginal gains (R = 0.181), and FDP remains unstable (R = 0.081 ± 0.189). By contrast, IGP, which incorporates retrieval-informed structured prompting, shows the highest agreement with the expert reference among the four compared strategies (R = 0.598 ± 0.065), suggesting that structured contextual guidance may improve the performance of LLM-assisted weighting within the evaluated benchmark. This study suggests that, within the evaluated wildfire benchmark and the tested set of hosted LLMs, LLMs may serve as useful decision-support tools in MCDA tasks when guided by structured inputs or coordinated through multi-agent mechanisms. The proposed framework provides an interpretable basis for exploring LLM-assisted risk evaluation in the present wildfire benchmark, while further validation is needed before extending it to other environmental or safety-critical contexts. Full article

Head and neck squamous cell carcinoma (HNSCC) is frequently associated with cisplatin resistance, which limits the therapeutic efficacy of conventional chemotherapy. In this study, we investigated whether α-tomatine could enhance cisplatin sensitivity and augment its antitumor efficacy in HNSCC cells. Treatment with 20 μM cisplatin alone induced relatively low cytotoxicity in FaDu and YD38 cells (18.45 ± 2.59% and 9.40 ± 2.33%, respectively). In contrast, co-treatment of FaDu and YD38 cells with cisplatin (20 μM) and a non-cytotoxic concentration of α-tomatine (2 μM) significantly increased cell death to 52.98 ± 7.84% and 40.40 ± 3.06%, respectively, compared with cisplatin monotherapy. The combination treatment markedly suppressed colony formation, indicating reduced clonogenic survival, and significantly enhanced apoptosis through the simultaneous activation of intrinsic and extrinsic apoptotic pathways. The enhanced apoptosis was driven by the activation of the mitogen-activated protein kinase (MAPK) signaling cascade. Furthermore, the enhanced antitumor effect of α-tomatine and cisplatin was confirmed in a xenograft tumor model. These findings demonstrate that α-tomatine enhances cisplatin-induced apoptosis via MAPK-mediated signaling, supporting its role as a chemosensitizing agent for HNSCC. Full article

The continuous emergence of SARS-CoV-2 variants highlights the need for novel antiviral agents with favorable safety profiles. Marine microalgae constitute a valuable source of bioactive compounds, including antiviral peptides. Building on previous in silico identification of peptides derived from the marine microalga Phaeodactylum tricornutum with predicted activity against SARS-CoV-2, this study evaluated the antiviral capacity of peptide fractions generated by enzymatic hydrolysis and separated by molecular weight (10–30, 5–10, 3–5, and <3 kDa) in human alveolar epithelial A549 cells infected with the SARS-CoV-2. Cytotoxicity analyses, assessed using MTT and resazurin assays, revealed a moderate, concentration-dependent reduction in metabolic activity while maintaining overall cell viability within an acceptable range for antiviral evaluation, with higher-molecular-weight fractions (10–30 and 5–10 kDa) displaying the most stable profiles. Antiviral activity was assessed by flow cytometry following post-infection treatment. Lower-molecular-weight fractions (3–5 and <3 kDa) showed early reductions in infection at low concentrations but exhibited variable responses. In contrast, the 10–30 and 5–10 kDa fractions showed more robust, dose-dependent inhibition at medium and high concentrations, reducing infection levels to levels close to those observed in uninfected controls. Comparative analysis with the reference antiviral drug lopinavir demonstrated that peptide fractions exhibit lower cytotoxicity while retaining antiviral activity under equivalent experimental conditions. Overall, these results indicate that antiviral efficacy is strongly influenced by peptide molecular weight and consistency of response. This work provides experimental in vitro validation of P. tricornutum–derived peptide fractions as marine antiviral candidates and supports the integration of in silico and functional approaches for marine drug discovery. Full article

This paper introduces D³O-GT, a distributed optimization framework designed to operate under partial, heterogeneous, and delayed information—conditions commonly encountered in large-scale logistics and networked decision support systems. The proposed approach integrates gradient tracking with delay-aware updates to address the steady-state bias and instability that often affect classical distributed gradient methods. We formulate a consensus optimization model that captures decentralized decision variables while preserving global optimality, and we develop an algorithmic structure that balances convergence accuracy, communication efficiency, and robustness to asynchronous updates. Extensive numerical experiments demonstrate that D³O-GT achieves machine precision convergence in synchronous settings and remains stable under bounded communication delays, converging to a small neighborhood of the optimum. In contrast, conventional distributed gradient descent exhibits significant residual error under the same conditions. Scalability analyses further indicate that the proposed method maintains favorable iteration complexity as the number of agents increases. These results position D³O-GT as a practical and scalable solution for distributed decision-making environments, with direct relevance to logistics-oriented applications such as resource allocation, coordination of networked services, and real-time operational planning. Full article

The excellent biocompatibility and favorable physicochemical properties of iron oxide nanoparticles have made them attractive candidates for magnetic resonance imaging. However, it remains challenging to synthesize high-performance T₁ contrast agents with controlled sizes and biocompatible coating materials. In this study, we demonstrate a simple and environmentally friendly approach for synthesizing ultra-small iron oxide nanoparticles using bovine serum albumin (BSA) as a template. Following synthesis, the iron oxide nanoparticles (Fe₃O₄) were oxidized to Fe₂O₃ via the addition of hydrogen peroxide, which resulted in enhanced T₁-weighted magnetic resonance contrast. The use of BSA not only stabilized the nanoparticles but also enabled precise control over nanoparticle size by adjusting the Fe-to-BSA molar ratio. This method yielded highly uniform and crystalline ultra-small nanoparticles ranging from approximately 3.7 to 7.9 nm in diameter. The T₁ contrast performance of the Fe₂O₃@BSA nanoparticles was evaluated at 3 T magnetic field. Among the synthesized samples, nanoparticles with sizes of 4.6 nm exhibited the strongest T₁ contrast enhancement along with low r₂/r₁ ratios. These features highlight their potential as promising alternatives to gadolinium-based contrast agents. In addition to their superior performance, this synthesis method is low-cost and non-toxic, making it suitable for scalable biomedical applications. Full article

As surgery is the first-line paradigm for many solid tumors, precision in preoperative diagnosis and intraoperative imaging is of significant importance. Dual MRI and NIR-II fluorescence imaging could fulfill precision imaging requirements in treating cancers, because of its deep penetration and real-time high spatiotemporal resolution. Thus, the design of dual MRI/NIR-II fluorescence contrast agents is crucial for the diagnosis and surgery of cancers. Herein, we developed optically transparent NaGdF4 matrix-based downshifting nanoparticles (DSNPs) co-doped with Nd³⁺, Yb³⁺, and Er³⁺ as a single nanoplatform for dual NIR-II fluorescence and T1-weighted MRI. Systematic dopant engineering reveals that optimal Nd³⁺ loading enhances cascade Nd → Yb → Er energy transfer and yields intense NIR-II emission at 1334 and 1521 nm upon 808 nm excitation with a relative quantum yield of 1.55, while the presence of Gd³⁺ in the optically transparent matrix imparts strong T1 contrast (4.98 s⁻¹ mM⁻¹). The Pluronic F-127 surface coating confers colloidal stability and biocompatibility. In vitro assays confirm negligible cytotoxicity and efficient cellular uptake. In vivo studies in subcutaneous 4T1 tumor-bearing mice demonstrate robust accumulation, high tumor-to-background contrast in both MRI/NIR-II fluorescence and enable precise NIR-II fluorescence imaging-guided surgery with real-time margin visualization. Therefore, dopant-engineered DSNPs represent a promising dual-modal imaging agent for deep-tissue diagnostic and real-time surgical guidance in precision oncology. Full article

Background/Objectives: Radiolabeled bevacizumab-based immuno-PET tracers enable a non-invasive quantification of VEGF-A expression in gynecologic malignancies. While the previously reported [⁵²Mn]Mn-DOTAGA-bevacizumab demonstrated selective VEGF-A-targeted uptake in a KB-3-1 cervix carcinoma mouse model, further improvements in chelator stability and tumor-to-background contrast remain desirable. The recently developed BPPA chelator exhibits exceptionally high Mn(II) complex stability and favorable radiolabeling characteristics. This study aimed to characterize the in vivo biodistribution of [⁵²Mn]Mn-BPPA-bevacizumab, and to compare the tumor-to-background ratios of [⁵²Mn]Mn-BPPA-bevacizumab with the previously published values of [⁵²Mn]Mn-DOTAGA-bevacizumab in VEGF-A-expressing cervix carcinoma. Methods: Female KB-3-1 tumor-bearing CB17 SCID mice underwent PET/MRI imaging following intravenous administration of [⁵²Mn]Mn-BPPA-bevacizumab. SUV_mean values were measured in various organs and in the subcutaneously injected tumor, and tumor-to-organ ratios were calculated at various time points up to 10 days post-injection. Results: [⁵²Mn]Mn-BPPA-bevacizumab demonstrated sustained tumor uptake, with tumor SUVmean values increasing from approximately 1.0 at 4 h to peak values of approximately 2.4–2.5 at 72 h post-injection. Tumor-to-background ratios increased progressively over time and were significantly higher for [⁵²Mn]Mn-BPPA-bevacizumab compared with previously reported [52Mn]Mn-DOTAGA-bevacizumab, particularly for tumor-to-blood, tumor-to-liver and tumor-to-lung ratios at later imaging time points (p < 0.0001). Conclusions: The novel [⁵²Mn]Mn-BPPA-bevacizumab tracer exhibits satisfactory in vitro and in vivo stability for PET imaging, high VEGF-A-specific tumor uptake, and markedly improved tumor-to-background ratios compared to the previously published DOTAGA-based probe. These results position [⁵²Mn]Mn-BPPA-bevacizumab as a highly promising next-generation immuno-PET agent for imaging VEGF-A-expressing gynecologic malignancies and for guiding anti-angiogenic therapies. Full article

Glioblastoma multiforme is a devastating brain tumor that frequently progresses or recurs despite therapy. We used the glioblastoma-derived cell line, KNS-42, to study the response of the gap junction proteins, connexin46 and connexin43, to chemotherapeutic agents and to prolonged hypoxia to mimic conditions within the tumor microenvironment. Under standard culture conditions, KNS-42 cells have high levels of connexin43 and very low levels of connexin46. The cells that survived temozolomide treatment had increased connexin46 levels and decreased connexin43 levels. In contrast, prolonged hypoxia increased the levels of both connexins, the number of connexin immunopositive cells, and the intensity of the immunofluorescence signal per cell (which localized preferentially in the cytoplasm). Exposure to hypoxia for 12 days decreased the chymotrypsin-like proteasomal activity without altering connexin mRNA levels, suggesting that the changes in connexin levels result from reduced protein degradation. The increased connexin46 in temozolomide-resistant cells suggests that this connexin may have a role in chemotherapy resistance. The results also imply that changes in the microenvironment of glioblastomas (like hypoxia) can alter proteasomal activity and affect levels and subcellular distribution of connexin46 and connexin43. Finally, our data suggest that proteasomal inhibition may not be a good approach to glioblastoma therapy. Full article

Background/Objectives: Retrospective analysis of the safety of contrast-enhanced ultrasound in children. Methods: A retrospective analysis was conducted on children who underwent contrast-enhanced ultrasound (CEUS) examinations at the Children’s Hospital of Chongqing Medical University from 2019 to 2025. Adverse reactions were classified into three grades (mild, moderate, and severe) based on severity. Following the pharmacological classification, the types of adverse reactions are divided into “Type A reactions” and “Type B reactions” and further classified into immediate and delayed reactions according to the timing of occurrence. Results: This study included 1604 pediatric patients who underwent a total of 1924 intravenous CEUS examinations. Seven patients experienced adverse reactions, yielding an overall adverse reaction incidence rate of 0.436% (95% Confidence Interval: 0.18–0.90%). Among these, six reactions were mild (6/7, 85.71%), and one was moderate (1/7, 14.29%). Among the seven patients, 16 clinical manifestations were recorded, comprising 12 type B reactions (12/16, 75%) and 4 type A reactions (4/16, 25%). Furthermore, all adverse reactions were classified as immediate onset. Conclusions: Under the conditions of this study, CEUS demonstrated good safety in the pediatric population, with no serious adverse events observed. Full article

This cross-sectional study compared somatometric, training, and behavioral characteristics of adult exercisers in Greece, contrasting self-identified resistance-training practitioners with recreational exercisers. A total of 1187 adults completed a structured questionnaire capturing demographics, self-reported height and weight (BMI), weekly training frequency, session duration, competition participation, and self-reported use of performance-enhancing substances. Given non-normal distributions, analyses used nonparametric tests, binary logistic regression, and two-step cluster analysis based on the elbow method. Resistance-training practitioners reported higher BMI, greater weekly training frequency, and longer session duration than recreational exercisers (all p < 0.001). Substance use was more prevalent among resistance-training practitioners and exhibited a marked gender asymmetry, with anabolic-agent use concentrated among men. A logistic regression predicting competition participation identified age, BMI, gender, and education as significant predictors; the model explained a modest proportion of variance (Nagelkerke R² = 0.10). Cluster analysis produced four distinct participant profiles differing in BMI, training intensity, and behavioral orientation. These results indicate systematic somatometric and behavioral differences between exercise orientations and demonstrate the utility of multivariate profiling for characterizing heterogeneity in exercise engagement. Findings should be interpreted cautiously because all anthropometric and substance-use measures were self-reported, and BMI cannot distinguish lean from fat mass in resistance-trained populations; future research should prioritize representative sampling and objective somatometric assessment. Full article

The overuse of chemical insecticides highlights the urgent need for novel vector control strategies. Insect-specific viruses (ISVs), such as the cell-fusing agent virus (CFAV), have shown potential to block arbovirus transmission by inhibiting viral replication in mosquitoes. However, the effects of CFAV beyond its natural host, Aedes aegypti, remain largely unexplored. In this study, we established a CFAV infection model in Aedes albopictus, a major vector for Zika virus (ZIKV), via intrathoracic injection. Stable infection was achieved, with viral loads reaching up to 10⁷ copies per mosquito by day 10 post-injection. Nevertheless, high post-injection mortality (median survival: 3 days) was observed, which we attribute primarily to mechanical injury. No evidence of vertical transmission of CFAV was detected in Ae. albopictus. Co-injection of CFAV and ZIKV did not significantly affect ZIKV replication in this species. In contrast, in Ae. aegypti pre-infected with CFAV followed by oral ZIKV challenge, CFAV significantly reduced ZIKV infection rates in the ovaries at day 4 and viral loads in salivary glands at day 10. These findings demonstrate that while CFAV can productively infect Ae. albopictus, it does not undergo vertical transmission in this species, and has no inhibitory effect on ZIKV under the co-infection conditions tested. This study underscores challenges associated with using single ISVs such as CFAV for arbovirus control and highlights the complex, bidirectional role of multiple ISV co-infections. While exploring multi-ISV combinations may offer a potential strategy to enhance antiviral efficacy, their net effect—whether suppression or enhancement of arboviruses—warrants careful investigation. Full article