Search Results (206)

Type XVII collagen (COL17) is crucial for skin integrity but difficult to produce. To achieve high-level secretory expression, a human COL17 segment was designed and cloned into the pPIC9K vector with six different α-mating factor signal peptides and integrated into Komagataella phaffii GS115. Fed-batch fermentation in a 5 L bioreactor yielded 4.7 g/L of recombinant COL17. Functional assays showed that it promoted the proliferation of human skin fibroblast (HFF) and immortalized keratinocytes (HaCaT), upregulated COL1A1, COL3A1, and TIMP1 in HFF cells, and enhanced skin barrier-related genes (KRT1, KRT5, KRT10, KRT14, IVL, LOR, FLG) in HaCaT cells. In a UVB-induced photoaging model, COL17 reduced reactive oxygen species (ROS) and matrix metalloproteinase 3 (MMP3) activity. This recombinant collagen exhibits photoprotective, regenerative, and barrier-enhancing activities, offering potential for skincare and tissue engineering. Full article

Multi-hop question answering (MQA) requires models to perform multi-step reasoning and integrate multiple knowledge sources. However, existing methods combining pre-trained language models (PLMs) and graph neural networks (GNNs) often suffer from low computational efficiency, insufficient deep semantic fusion, and imbalanced modeling of heterogeneous relations. To solve these problems, we propose a Dynamic Hierarchical Adaptive Graph Convolution Network (DHACNet). First, to deal with the issues of insufficient computational efficiency and feature interpretability, we introduce Dynamic Sparse Activation (DSA). A trainable gate unit is used to generate importance masks for the encoder outputs, keeping only the task-relevant neurons. This greatly decreases the computational burden and enhances the interpretability of the model’s decisions. Second, to alleviate insufficient deep semantic fusion, we design a Hierarchical Feature Fusion (HFF) mechanism. It adaptively weights and fuses hidden states from different layers, enhancing the extraction and representation of deep textual semantics. Furthermore, for graph structure modeling, we present Adaptive Graph Convolution (AGC), which assigns learnable weights to different edge types in the graph, thereby improving heterogeneous relation modeling. Finally, hierarchical graph pooling is introduced, which integrates attention mechanism and Top-$K$ selection to achieve efficient and robust graph-level representation. The experimental results show that our proposed model maintains the symmetry between the text representation and graph representation through adaptive layered fusion and relational perceptual graph propagation. This symmetry-aware reasoning process encourages semantic consistency during multi-hop inference and makes knowledge integration more robust. Full article

This study presents a novel analytical–numerical approach to reveal bifurcation structures of an excited hybrid van der Pol–Rayleigh oscillator (HVR), driven by the necessity of enhanced understanding and prediction of intricate nonlinear behaviour of a hybrid self-excited system. The study used the non-perturbative approach (NPA)to analyze the existing scheme and estimate its efficiency. The non-perturbative approach serves as primary basis of He’s frequency formula (HFF). This procedure aims to produce a linear representation of a weakly nonlinear oscillator categorized by a nonlinear ordinary differential equation (ODE). The study aims to diverge from conventional perturbation techniques. The parametric equation is corroborated via Mathematica Software (MS), demonstrating substantial concordance with the original problem. Therefore, the study of current oscillator is considered as a new possibility in using established approaches. The stability enactment is assessed under various parameters. The current approach is categorized by specific concepts, exceptional numerical accuracy, suitability, and user-friendliness. Furthermore, Arnold tongues as well as Floquet multipliers are also examined. The dynamic of the nonlinear model is examined through Poincaré maps, phase portraits, and bifurcation diagrams, which are essential analytical elements affecting system behaviour. The lack of chaos and periodic oscillations are explained by the greatest Lyapunov exponent, which also sheds light on long-term stability. Full article

Studying jet engine vibration (JEV) enhances flight safety and operational reliability through advanced detection, precision modeling, and data-driven techniques. This approach involves complex nonlinear vibration behaviors that often exceed the capabilities of conventional techniques. It facilitates early fault detection, predictive maintenance, and improved engine design. This study employs the non-perturbative approach (NPA) to examine the dynamics of a parametric nonlinear oscillatory system. The formulation is based on He’s frequency formula (HFF), which transforms a nonlinear ordinary differential equation (ODE) into an equivalent linear one. The analytical results are validated using Mathematica software (MS) (v13), showing strong agreement between the original nonlinear ODE and the corresponding linearized equation. To further explore the system behavior, bifurcation diagrams (BDs) are constructed, and the largest Lyapunov exponent (LLE) is utilized to identify stability regions and detect chaotic oscillations. The averaging method is applied to determine the critical resonance conditions and derive the frequency–response relationships; meanwhile, stability near simultaneous primary resonance is examined using the Routh–Hurwitz criterion. Finally, numerical simulations (NSs) based on the fourth-order Runge–Kutta method (RK-4) confirm the effectiveness of the positive position feedback (PPF) control strategy. Full article

Background/Objective: With rising per capita sugar consumption, skin glycation-related issues including dullness, homeostasis disruption and accelerated wrinkling have gained widespread attention. However, globally standardized and rigorous evaluation criteria for anti-glycation efficacy remain lacking. This study aimed to establish stage-specific glycation injury cell models and elucidate the stage-dependent molecular mechanisms of glycation-induced fibroblast damage, providing a standardized reference for anti-glycation efficacy assessment. Methods: Three glycation injury models were constructed in human foreskin fibroblasts (HFF-1): early-stage (glucose-induced), intermediate-stage (glyoxal-induced), and late-stage (advanced glycation end products (AGEs)-induced). Core biomarkers including Nε-(carboxymethyl)lysine (CML), collagen type I (Col I) and elastin (ELN) were used to optimize modeling conditions via Cell Counting Kit-8 (CCK-8) and enzyme-linked immunosorbent assay (ELISA). Untargeted metabolomics based on ultra-high-performance liquid chromatography (UHPLC)-Q Exactive Orbitrap was applied to identify differential metabolites and perturbed pathways, following Metabolomics Standards Initiative (MSI) Level 2 identification criteria. Results: Optimal conditions were determined as 50 mmol/L glucose for 48 h, 0.5 mmol/L glyoxal for 48 h, and 200 μg/mL AGEs for 24 h. A total of 319, 34 and 148 differential metabolites were identified in the three groups, respectively. Six key pathways were significantly perturbed. Early and intermediate models shared similar mechanisms (purine metabolism disturbance), while the late model showed distinct alterations in pyrimidine, nicotinate, arachidonic acid and steroid hormone metabolism. Conclusions: Three stable stage-specific glycation models were successfully established in HFF-1 cells. Significant differences in metabolic profiles and mechanisms exist across the three stages, providing a rational basis for model selection and theoretical support for anti-glycation efficacy evaluation. Full article

Ten substituted quinobenzothiazinium salts were tested for their ability to inhibit acetylcholinesterase (AChE) and butyrylcholinesterase (BChE). All the compounds inhibited AChE in the IC₅₀ range of 0.03–0.658 µM, with 5,8,10-trimethyl-12H-quinolino[3,4-b][1,4]benzothiazin-5-ium chloride (3d) being the most potent inhibitor, with an IC₅₀ value significantly better than that of the clinically used rivastigmine and galantamine and comparable to that of tacrine and donepezil. The IC₅₀ values for BChE inhibition ranged from 0.34 to 4.25 µM; 5,9-dimethyl-12H-quinolino[3,4-b][1,4]benzothiazin-5-ium chloride (3b) exhibited the strongest BChE inhibitory activity and in general, all the investigated compounds were more potent inhibitors than rivastigmine and galantamine. Based on the calculated selectivity index values, they are rather preferential inhibitors of AChE. Cytotoxicity tests performed on normal human dermal fibroblasts (HFF-1) did not demonstrate any significant cytotoxicity under the tested conditions. The distance-oriented structure distribution for the studied molecules was related with the activity data using principal component analysis and hierarchical clustering analysis. (SAR)-based evaluation is reported to predict activity cliffs using a similarity–activity landscape index for the AChE inhibitory response values. Moreover, direct protein-mediated in silico methods were utilized to identify factors that may be relevant for quantitative (Q)SAR modeling. In practice, target-oriented molecular docking was used to organize the spatial distribution of the ligand property space for the anti-AChE system. In general, this series of alkylated quinobenzothiazinium salts with potent inhibitory activity against cholinesterases fulfills Lipinski’s rule of five based on in silico predictions and is also expected to have high absorption in the human gastrointestinal tract. All active derivatives are also expected to penetrate the blood–brain barrier, making them promising compounds for further research and possible use in Alzheimer’s disease therapy. Full article

Chronic low-grade inflammation, altered microvascular support, and progressive stress-related cellular dysfunction are major contributors to tissue aging and impaired repair. Dermal fibroblasts are central regulators of these processes because they integrate cytokine-related signaling, redox balance, and extracellular matrix homeostasis. Increasing evidence indicates that endogenous bioelectrical activity may influence these cellular functions by shaping upstream regulatory conditions linked to downstream molecular responses. In the present study, we investigated the molecular effects of the Radio Electric Asymmetric Conveyer Anti-Inflammatory Cellular Treatment delivered under Inside Blue Zone conditions (REAC ACT-IBZ) in human dermal fibroblasts (HFF1). Cells were exposed to nine standardized treatment sessions, and molecular changes were assessed by RT-qPCR, ELISA, and immunofluorescence analysis complemented by supportive semi-quantitative fluorescence intensity assessment. REAC ACT-IBZ exposure was associated with increased SIRT1 and VEGF expression and with transcriptional modulation of selected cytokine-related genes, including IL-1α, IL-1β, IL-2, and IL-8. Immunofluorescence analysis, complemented by supportive semi-quantitative fluorescence intensity assessment, showed a pattern consistent with increased FOXO1 and SIRT1 staining and reduced mTOR staining in treated cells. Overall, these findings identify a molecular profile associated with REAC ACT-IBZ exposure in human dermal fibroblasts, involving stress-response regulators, angiogenesis-related signaling, and selective cytokine-related transcriptional changes. Within the limits of the present in vitro model, the data support the view that endogenous bioelectrical modulation may interact with molecular networks relevant to tissue homeostasis and inflammaging. Full article

Background/Objectives: We aimed to identify eating habits associated with hepatic fat fraction (HFF) and assess effect modification by an established genetic variant for fatty liver disease, PNPLA3 rs738409, among 381 general-risk adolescents. Methods: Dietary intake was assessed using the Block Kids Food Frequency Questionnaire and HFF was measured via magnetic resonance imaging (MRI) at age ~16 years. We first characterized naturally occurring dietary patterns using principal component analysis followed by reduced-rank regression with HFF as the response variable to identify a dietary pattern that is both relevant to the population and associated with HFF. Next, we investigated associations of the dietary pattern with HFF using linear regression models that accounted for maternal gestational diabetes, education, and prenatal smoking and child sex, age, Tanner stage, and BMI. Finally, we tested for a dietary pattern and PNPLA3 rs738409 interaction and stratified by genotype if P-interaction < 0.05. Results: The participants were 16.7 ± 1.2 years (range: 12.6–19.6 years). Half were female (50.4%) and 52.0% identified as non-Hispanic White. The dietary pattern of interest was composed of vegetables, fruit, nuts and seeds, oatmeal, sports bars, crackers and sandwiches, and beef, and was inversely associated with HFF (−0.48 [95% CI: −0.81, −0.16]). Stratified analyses revealed the strongest inverse association observed between the diet pattern score and HFF in the high-risk-variant (GG) group (−2.19 [−4.35, −0.03]), followed by the intermediate-risk (CG) group (−0.43 [−0.77, −0.10]), but not the low-risk (CC) group (−0.32 [−0.77, 0.13]). Conclusions: A diet high in vegetables, fruit, nuts and seeds, oatmeal, sports bars, crackers and sandwiches, and beef—potentially capturing an active, on-the-go lifestyle—is associated with lower HFF during adolescence, especially among individuals at genetic risk. Full article

Background: The global rise in antimicrobial resistance (AMR) has created an urgent need for innovative antibacterial strategies and localized delivery systems. This study aimed to develop and characterize electrospun poly (vinyl alcohol) (PVA) nanofibers co-loaded with atorvastatin (ATR) and zinc oxide (ZnO) nanoparticles for use as a multifunctional topical platform for wound healing and infection control. Methods: ZnO nanoparticles were prepared via ball milling and characterized for size and zeta potential. Four PVA-based nanofiber formulations were fabricated using electrospinning: blank (F1), ZnO-loaded (F2), ATR-loaded (F3), and ATR/ZnO co-loaded (F4). The nanofibers were evaluated for morphology, thermal properties, crystallinity, and drug release. Antibacterial efficacy was tested against S. aureus, S. epidermidis, MRSA, and P. aeruginosa using broth microdilution and checkerboard assays. Biocompatibility and wound healing potential were assessed via MTT and fibroblast scratch assays on human foreskin fibroblasts (hFFs). Results: SEM imaging confirmed the production of uniform, bead-free nanofibers. ATR and ZnO nanoparticles were successfully incorporated in the nanofiber. The co-loaded formulation (F4) demonstrated a sustained release profile, releasing approximately 78.7% of ATR over 24 h. While all treatments showed limited activity against P. aeruginosa, the ATR/ZnO co-loaded nanofibers exhibited significantly enhanced antibacterial activity against Gram-positive strains, achieving the lowest MIC values (1.5–2.0 mg/mL). Synergy analysis confirmed an enhanced effect with ATR and ZnO against MRSA. Furthermore, F4 achieved the highest wound closure rate of 92.41% in 24 h while maintaining acceptable cytocompatibility. Conclusions: The integration of ATR and ZnO into PVA nanofibers provides an enhanced antibacterial effect consistent with the synergistic potential observed between free agents targeting Gram-positive wound pathogens. The platform’s ability to simultaneously inhibit bacterial growth and promote rapid fibroblast migration positions it as a promising localized therapeutic for managing infected wounds. Full article

Dysregulated angiogenesis is involved in cancer and numerous ischemic, autoimmune and inflammatory diseases, prompting extensive research that has yielded a growing array of angiogenesis-modulating molecules used in clinical practice. The dietary phytocomplex of Cruciferous vegetables exhibits multiple biological activities in both in vitro and in vivo models. However, the impact of a myrosinase-activated broccoli extract (MaBE) on angiogenesis, as well as on stromal–endothelial interactions governing endothelial cell behavior, has not yet been explored. We investigated the effects of MaBE on endothelial–stromal crosstalk using endothelial cells (HUVECs) and fibroblasts (HFF1) both individually and in a fibroblast-conditioned medium model. MaBE dose-dependently inhibited endothelial viability, migration and tube formation, key steps of angiogenesis, through interference with the VEGF–VEGFR2 axis. Notably, MaBE also markedly suppressed HFF1-driven HUVEC migration and capillary-like structure formation, likely through the inhibition of fibroblast motility and the downregulation of VEGF and angiogenin signaling in HFF1 cells. Overall, these findings provide new insight into MaBE regulation of pro-angiogenic behaviors in both endothelial cells and fibroblasts while disrupting their functional interplay. By targeting multiple cellular compartments and key mediators involved in angiogenesis, MaBE emerges as a promising bioactive extract with potential relevance for the management of pathological angiogenesis-related disorders. Full article

Colorectal cancer (CRC) is still a leading cause of cancer-related death worldwide, and often, conventional chemotherapeutics exhibit limited efficacy. The hydroalcoholic leaf extract of Cynara cardunculus subsp. cardunculus (wild artichoke) was investigated for its anticancer potential in CRC and effects on enteric pathogens. Nine phenolic compounds were identified by high-performance liquid chromatography with diode-array detection (HPLC-DAD), and spectrophotometric analyses were applied for total phenolic (TPC: 178.33 mg GAE/g) and total flavonoid (TFC: 52.21 mg CE/g) content quantification. The extract exhibited good antioxidant activity on DPPH (IC₅₀: 21.35 μg/mL), ^−•O₂ (IC₅₀: 1.56 μg/mL), and H₂O₂ (IC₅₀: 314.73 μg/mL) and was found to inhibit the growth of pathogenic enteric bacteria, with Enterococcus faecalis and Staphylococcus aureus being the most sensitive. In CaCo-2 CRC cells, the extract induced a concentration-dependent cytotoxicity (IC₅₀: 13.07 μg/mL at 24 h) through increased production of reactive oxygen species (ROS), upregulation of Nrf2, and induction of apoptosis, as evidenced by elevated p53, Bax, cytochrome c, and caspase-3 levels. No necrosis, measured by lactate dehydrogenase (LDH) release, or toxicity to HFF-1 normal fibroblasts was observed at concentrations up to 50 μg/mL. Additionally, CCE demonstrated synergistic effects with 5-FU (combination index < 0.8). This evidence suggests that CCE exhibits selective antitumor activity and chemosensitizing properties, supporting its possible development as an adjunctive agent in CRC therapy. Full article

As primary producers in aquatic ecosystems, microalgae function not only as a natural source of nourishment for several economically important aquatic species but also as reservoirs of bioactive molecules. Microalgae can secrete exosome-like nanoparticles that transport functional biomolecules, such as proteins and nucleic acids, into the extracellular milieu, thereby mediating intercellular signaling and eliciting ecological or biomedical responses. Although plant-derived exosome-like nanoparticles have attracted attention for their utility in drug delivery and dermatology, the functional properties of microalgae-derived nanoparticles—particularly from species extensively applied in aquaculture—remain inadequately characterized. In this study, exosome-like nanovesicles were isolated from Nannochloropsis oculata (N-ELNs), a microalgal species widely used in aquaculture, and their skin-whitening potential was evaluated using the B16-F10 mouse melanoma cell model. The highest N-ELN yield was observed during the adaptation, exponential, and stationary growth phases. Uptake analyses confirmed the efficient internalization of N-ELNs by B16-F10 cells. Cell counting kit-8 assays indicated that N-ELNs exhibited no cytotoxic effects on melanoma cells or normal human dermal fibroblasts (HFF-1). Scratch wound healing assays revealed that N-ELNs exerted no significant effect on cellular migration. In B16-F10 cells, N-ELNs suppressed tyrosinase activity by downregulating Mitf and its downstream genes Tyr and Tyrp1, resulting in a substantial reduction in melanin synthesis (p < 0.05). The inhibitory effects of N-ELNs on melanin production, tyrosinase activity, and gene expression of Tyr, Tyrp1, and Mitf were comparable to those of the positive control, arbutin. Collectively, these findings suggest that N. oculata exhibits promising skin-whitening properties, providing a novel perspective for clinical applications and supporting the high-value utilization of the microalgae aquaculture industry. Full article

This study aimed to validate the health economic model for finerenone in the treatment of patients with heart failure (HF) and left ventricular ejection fraction (LVEF) ≥40% in the United Kingdom. A Markov model informed by the pivotal FINEARTS-HF trial compared finerenone + standard of care (SoC) to SoC alone. Cross-validation was performed on the results (life years [LYs] and quality adjusted life years [QALYs]) for the SoC arm against three models in HF with LVEF >40%. External validation compared cardiovascular (CV) mortality and the number of total HF events (hospitalisation for heart failure [HFF] and urgent heart failure visit [UHFV]) against FINEARTS-HF. The model estimated similar discounted outcomes to other models in HF (6.47 vs. 6.63–7.91 LYs and 4.78 vs. 4.63–5.27 QALYs). CV deaths (22 vs. 27) and UHFV events (60 vs. 61) avoided with finerenone were similar between the model and FINEARTS-HF. The broad estimated range of avoided HHF events (205–303 vs. 219 in FINEARTS-HF) was largely driven by baseline patient age. This comprehensive validation exercise demonstrated that the finerenone model accurately estimated observed clinical data and was well aligned in its projections with previous models assessing similar populations. Full article

Cyclin-dependent kinase 1 (CDK1) regulates multiple cellular processes that HSV-1 can exploit to promote its own replication, particularly during the early steps of lytic infection. We investigated whether CDK1 inhibition disrupts immediate-early (IE) gene expression and analyzed the host phosphoproteome early in infection to identify putative host factors and mechanisms that facilitate HSV-1 IE gene expression and are controlled by CDK1. Human foreskin fibroblasts (HFFs) were pre-treated with a CDK1 inhibitor and showed a 1000-fold reduction in HSV-1 replication and significant reductions in IE mRNAs and protein levels at 4 hpi. We characterized cells after CDK1 inhibition and HSV-1 infection at 3 hpi by tandem mass spectrometry and identified >5500 phosphopetides (~2600 proteins), analyzing differential phosphorylation and protein–protein interactions. We validated CDK1 inhibition by detecting phosphorylation-specific decreases in known CDK1 substrates, as well as Robust Kinase Activity Inference. Rank- and network-based analyses of our dataset highlighted several candidate proteins, linking their CDK-directed phosphorylation to HSV-1 IE gene expression. Notably, the C-terminal domain of the large subunit of RNA polymerase II (RNAPII), POLR2A, is extensively phosphorylated, and its phosphorylation is significantly reduced upon CDK1 inhibition during viral infection. Taken together, these data support a model in which CDK1 activity maintains a transcriptionally permissive cellular state required for efficient HSV-1 IE gene expression. Our data suggest that when CDK1 is pharmacologically inhibited, key transcriptional facilitators are dysregulated, impairing viral transcription and replication. Full article

Epigenetic and stress-response pathways play central roles in cancer progression and represent attractive therapeutic targets. In this study, a series of dipyridothiazine–1,2,3-triazole hybrids bearing p-fluorophenyl and p-trifluoromethylphenyl substituents was synthesized via efficient dipolar cycloaddition reactions. Structural characterization was performed using ¹H, ¹³C, and ¹⁹F NMR spectroscopy and high-resolution mass spectrometry. Anticancer activity was evaluated using WST-1 and MTT assays against human cancer cell lines SNB-19 (glioblastoma), C32 (amelanotic melanoma), A549 (lung carcinoma), and MDA-MB-231 and MCF-7 (breast cancer), as well as normal HFF-1 fibroblasts and HaCaT keratinocytes, with doxorubicin and cisplatin as reference drugs. The hybrids TDT2b and TDT3b containing a p-trifluoromethylphenyl moiety showed the highest cytotoxicity and cancer cell selectivity. RT-qPCR analysis of H3, TP53, CDKN1A, BCL-2, and BAX expression for the lead compound TDT2b revealed modulation of chromatin organization, p53-dependent stress responses, apoptosis, and cell cycle regulation. Molecular docking studies with human histone deacetylase 6 (HDAC6) demonstrated favorable binding of TDT2b and TDT3b, supporting their role as potential epigenetic anticancer agents. Full article