Search Results (5,186)

Due to their excellent physicochemical properties, the nanoparticles (NPs) have been utilized in various potential applications, including environmental remediation, energy storage, and nanomedicine. In this work, the ultrasonic and manual stirring approaches were used to integrate yttrium oxide (Y₂O₃) nanoparticles (NPs) into reduced graphene oxide (RGO) and carbon nanotubes (CNTs) to enhance their photocatalytic and anticancer properties. Pure Y₂O₃NPs, Y₂O₃/RGO NCs, and Y₂O₃/CNTs NCs were characterized using different analytical techniques, such as XRD, SEM, EDX with Elemental Mapping, FTIR, UV-Vis, PL, and DLS to investigate their improved structural, surface morphological, chemical bonding, optical, and surface charge properties. XRD data confirmed the successful integration of Y₂O₃into RGO and CNTs, with minor changes in crystallite sizes. SEM images with EDX analysis revealed that Y₂O₃NPs were uniformly distributed on RGO and CNTs, reducing aggregation. Chemical bonding and interactions between Y₂O₃and carbon materials were investigated using Fourier Transform Infrared (FTIR) analysis. UV and PL results suggest that the optical studies showed a shift in absorption peaks upon integration with RGO and CNTs. This indicates enhanced light absorption and modifications to the band gap between (3.79–4.40 eV) for the obtained samples. In the photocatalytic experiment, the degradation efficiency of bromophenol blue (BPB) dye for Y₂O₃RGO NCs was up to 87.3%, outperforming pure Y₂O₃NPs (45.83%) and Y₂O₃/CNTs NCs (66.78%) after 120 min of UV irradiation. Additionally, the MTT assay demonstrated that Y₂O₃/RGO NCs exhibited the highest anticancer activity against MG-63 bone cancer cells with an IC50 value of 45.7 µg/mL compared to Y₂O₃CNTs NCs and pure Y₂O₃NPs. This work highlights that Y₂O₃/RGO NCs could be used in significant applications, including environmental remediation and in vivo cancer therapy studies. Full article

Background and Aims: Little is known about metabolic dysfunction-associated steatotic liver disease (MASLD) as a risk factor for hepatocellular carcinoma (HCC) in non-cirrhotic (HCC-NC) patients. In-house developed mouse models with defective lipid-metabolizing enzyme long-chain 3-hydroxy acyl-CoA dehydrogenase (LCHAD), coded by hydroxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit alpha (HADHA) gene, result in MASLD (steatosis) without cirrhosis leading to HCC-NC. The aims of the current investigations are to assess molecular markers and the associated molecular events that may lead to HCC-NC. Methods: cDNA array study of HCC patients was conducted to assess the expression of HADHA transcripts. Differentially expressed proteins identified between wild-type (WT) and heterozygous mice with no cancer (HT) from a previous study were subjected to Ingenuity Pathway Analysis (IPA). Western blotting was performed to assess the expression of proteins. Results: IPA of the differentially expressed proteins between WT and HT mice results in two biological networks (network 1 and network 2), which pointed to an important role of p53 in HCC-NC. Validation of the levels of MDM2 and p53 also highlights the role of MDM2-p53 axis in HCC-NC. All the focus molecules in network 1 and network 2 are either presented as tumor suppressor/promoter of carcinogenesis or serum markers for early HCC diagnosis. The hepatotoxicity report from IPA further identified four functional groups including liver steatosis, glutathione depletion, hepatocellular carcinoma, and liver hyperplasia/hyperproliferation. Conclusions: This study suggests that impaired fatty oxidation may play a role in the development of HCC associated with steatosis but without cirrhosis (HCC-NC). Defective LCHAD is a novel etiology for HCC. Full article

Octominin is a peptide derived from the Octopus minor defense protein, which has shown antimicrobial and immunomodulatory properties. The present study describes the efficacy of Octominin-encapsulated chitosan (CN) nanoparticles (Octominin-CNPs) on in vitro and dermal wound healing in zebrafish. Initial viability analysis revealed there was no significant toxicity of Octominin-CNPs up to 200 μg/mL in human dermal fibroblast (HDF) cells and in zebrafish larvae (up to 50 μg/mL). Moreover, the potential wound healing activity of Octominin-CNPs was observed using the cell-scratch assay. In the in vivo study, wounded adult zebrafish were applied with the appropriate treatment (PBS, CNPs, Octominin, and Octominin-CNPs) 20 μg/wound/fish as a topical application at 0, 2, and 4 days post-wounding (dpw) while photographs of each wound site were taken at 2, 4, 7, 10, 14, and 21 dpw, and surface area was measured using ImageJ software (Ver. 1.8.0, NIH, Bethesda, MD, USA) to calculate the wound healing percentage (WHP) and wound healing rate (WHR). From the observed results, at 4 dpw, all treatments showed a negative impact on wound healing, where the lowest WHR and the WHP were given by the negative control (NC) until the 14th day. After 7 dpw, all fish except the NC showed increased wound healing activity. Compared to the Octominin, the Octominin-CNPs showed higher activity, which was at its peak on 21 dpw. Furthermore, Octominin-CNPs suppressed the expression of pro-inflammatory cytokine and chemokine mRNA expression with increased wound healing efficacy, and tissue repair compared to the Octominin-alone-treated fish at 7 dpw. Together, the observed results give insights into the use of nanoencapsulation as a means of drug delivery, especially for small peptides. Full article

Muscular dystrophies are a class of diseases characterized by muscular weakness, breakdown, and heavily impaired function and quality of life. Numerous types of muscular dystrophies have been identified, with different causative genes and dystrophic mechanisms. While the majority of studies emphasize the protein product encoded by each gene, a growing body of research has identified non-coding elements as key regulators of muscular dystrophy. In this review, we summarize the common noncoding mechanisms known to regulate multiple forms of muscular dystrophies. We also highlight individual studies exploring local, disease-specific noncoding elements to each disease. Together, this provides a comprehensive overview of the major role of non-coding regulation in muscular dystrophies. Full article

A versatile, clear, and accurate method for determining the steady states of multi-component diffusion through composite membranes is presented in this study. This method can be used for simulating and designing membranes with any support orientation with respect to the zeolite film. In the mathematical model of the membrane, it was assumed that mass transport in the zeolite layer occurs by surface diffusion in accordance with the generalized Maxwell–Stefan model. Diffusion in the macroporous support was described by the dusty gas model (DGM). An alternative model of diffusion in the zeolite was proposed to the universally accepted model, which uses a matrix of thermodynamic factors G. Thus, the difficulty of analytically determining this matrix for more complex adsorption equilibria was eliminated. This article is dedicated to methodological and cognitive aspects. The practical features of the method are illustrated using two gas mixtures as examples, namely {H₂, CO₂} and {H₂, n-C₄H₁₀}. The roles of zeolite and support in the separation of these mixtures are discussed. It was demonstrated under what circumstances the presence of the support can be neglected in the steady-state analysis of the membrane. The effect of the alternative application of the dusty gas model or viscous flow only in the microporous support was discussed. Full article

Antibiotic resistance (ABR) poses a critical global public health challenge necessitating immediate action. Without prompt interventions, infections caused by antibiotic-resistant bacteria could surpass the annual mortality rates of all cancers combined by 2050. Phages are one of the most abundant biological entities on earth that specifically infect and replicate in bacterial cells and can act as potential alternatives to antibiotics. Nanotechnology provides a favorable solution to overcome various challenges linked with phage therapy. Developments in nanotechnology, including nano-encapsulation, offer solutions to various clinical as well as pharmacological challenges by improving delivery efficacy, ensuring controlled release, and protecting phages from environmental degradation and immune clearance. The synergistic actions of phage-guided targeting and the strong bactericidal potential of engineered nanocapsules (NCs) could effectively eradicate multidrug-resistant (MDR) bacteria while diminishing off-target activities. Potential applications of engineered phage-guided nanotherapeutic systems have already been explored in terms of phage/nanocarrier cocktails, enhanced antibacterial activity, effective treatment of nosocomial infections, wound healing, and disruption of bacterial biofilms. The present review focuses on comprehensively discussing the advances in phage-guided NCs along with their mechanisms in enhancing precision antibacterial therapy. In this regard, numerous in vitro and in vivo study findings have been summarized in this review. Moreover, various approaches to overcome and optimize the pharmacokinetic profiles of phage-guided NCs have been discussed. Full article

Diabetic skeletal muscle atrophy is one of the most serious complications among diabetes-related complications. LIPUS enhances muscle regeneration and repair in skeletal muscle injuries. However, whether LIPUS can improve skeletal muscle atrophy in mice with T1DM has not been studied. This study involves forty male C57BL/6 mice randomly divided into four groups: normal control group (NC), streptozocin (STZ)-induced T1DM mice (T1D), T1DM mice treated with LIPUS (DL), and T1DM mice treated with insulin (DI). The DL group was treated on the quadriceps of mice with LIPUS (1 MHz, 80 mW/cm², 20 min/day) for 6 weeks. The results demonstrated that LIPUS significantly improved muscle function by increasing the cross-sectional area, mass, and strength of skeletal muscles. In addition, LIPUS significantly effectively lowered the blood glucose levels of T1DM mice. The knockout of myostatin (MSTN) (MSTN^−/−) and knockin of MSTN (MSTN^+/+) mice were employed to verify the underlying mechanism. The results indicated that LIPUS reduces blood glucose levels in T1DM mice by improving their muscle atrophy. This study demonstrated that LIPUS will become a novel therapy for the treatment of skeletal muscle atrophy caused by T1DM. Full article

This study determined the efficacy of in-feed supplementation of a medium-chain fatty acid, caprylic acid (CA), on the cecal colonization of multidrug-resistant (MDR) Salmonella Heidelberg (SH) and its effect on the cecal microbiome of commercial broilers. A total of 24, 4-week-old commercial Ross 708 chickens were randomly allocated to two replicates of four treatment groups in eight BSL2 isolators (3 birds/isolator): Negative control (NC), Positive Control (PC), Antibiotic group (AB), and caprylic acid (CA) groups. The birds received a Salmonella-free standard corn–soy-based diet, with the broilers in the AB receiving 50 g/ton bacitracin methylene disalicylate, and the CA group receiving caprylic acid (1% w/w), in feed from days 1 to 35. All birds, except those in the NC group, were challenged with ~3.7 log₁₀ CFU of MDR SH/5 mL by crop gavage on day 29. Cecal samples were collected 7 days after the challenge for SH recovery by direct plating and enrichment, as well as for DNA extraction for 16S rRNA gene amplicon sequencing. Compared to the PC group, a 3.6 log₁₀ CFU/g reduction in SH was observed in the CA group (p < 0.05). Although no significant effect of CA on cecal microbial composition was observed, a significant difference in taxonomic α- and β-diversities was observed in the AB. CA also resulted in significant differences in hub taxa compared to PC in the network association analysis, indicating a potential role for microbiome modulation in its mechanism of action. Full article

Diagnosing dementia and recognizing substantial cognitive decline are challenging tasks. Thus, the objective of this study was to classify electroencephalograms (EEGs) recorded during a working memory task in 15 patients with mild cognitive impairment (MCogImp), 5 patients with vascular dementia (VasD), and 15 healthy controls (NC). Before creating spectrogram pictures from the EEG dataset, the data were subjected to preprocessing, which included preprocessing using conventional filters and the discrete wavelet transformation. The convolutional neural network (CNN) MobileNetV2 was employed in our investigation to identify features and assess the severity of dementia. The features were extracted from five layers of the MobileNetV2 CNN architecture—convolutional layers (‘Conv-1’), batch normalization (‘Conv-1-bn’), clipped ReLU (‘out-relu’), 2D Global Average Pooling (‘global-average-pooling2d1’), and fully connected (‘Logits’) layers. This was carried out to find the efficient features layer for dementia severity from EEGs. Feature extraction from MobileNetV2’s five layers was carried out using a decision tree (DT) and k-nearest neighbor (KNN) machine learning (ML) classifier, in conjunction with a MobileNetV2 deep learning (DL) network. The study’s findings show that the DT classifier performed best using features derived from MobileNetV2 with the 2D Global Average Pooling (global-average-pooling2d-1) layer, achieving an accuracy score of 95.9%. Second place went to the characteristics of the fully connected (Logits) layer, which achieved a score of 95.3%. The findings of this study endorse the utilization of deep processing algorithms, offering a viable approach for improving early dementia identification with high precision, hence facilitating the differentiation among NC individuals, VasD patients, and MCogImp patients. Full article

As with other non-coding RNAs (ncRNAs), the aberrant expression of long non-coding RNAs (lncRNAs) can be associated with different forms of cancers, including breast cancer (BC). Various lncRNAs may either promote or suppress cell proliferation, metastasis, and other related cancer signaling pathways by interacting with other cellular machinery, thus affecting the expression of BC-related genes. However, lncRNAs are characterized by features that are unlike protein-coding genes, which pose unique challenges when it comes to their study and utility. They are highly diverse and may display contradictory functions depending on factors like the BC subtype, isoform diversity, epigenetic regulation, subcellular localization, interactions with various molecular partners, and the tumor microenvironment (TME), which contributes to the intratumoral heterogeneity and phenotypic plasticity. While lncRNAs have potential clinical utility, their functional heterogeneity coupled with a current paucity of knowledge of their functions present challenges for clinical translation. Strategies to address this heterogeneity include improving classification systems, employing CRISPR/Cas tools for functional studies, utilizing single-cell and spatial sequencing technologies, and prioritizing robust targets for therapeutic development. A comprehensive understanding of the lncRNA functional heterogeneity and context-dependent behavior is crucial for advancing BC research and precision medicine. This review discusses the sources of lncRNA heterogeneity, their implications in BC biology, and approaches to resolve knowledge gaps in order to harness lncRNAs for clinical applications. Full article

The development of FGFR1-driven stem cell leukemia and lymphoma syndrome (SCLL) in mouse models is accompanied by an increase in highly heterogenous myeloid derived suppressor cells (MDSCs), which promote immune evasion. To dissect this heterogeneity, we used a combination of CyTOF and scRNA-Seq to define the phenotypes and genotypes of these MDSCs. CyTOF demonstrated increased levels of circulating macrophages in the peripheral blood of leukemic mice, and flow cytometry demonstrated that these macrophages were derived from Ly6C^Hi M-MDSC as well as the Ly6C^Int and Ly6C^Low monocytic populations. Consistently, scRNA-Seq analysis demonstrated the accumulation of non-classical monocytes (ncMono) during leukemia progression, which also express macrophage markers. These leukemia-induced macrophages show continuous transcriptional reprogramming during leukemia progression, with the upregulation of cellular stress response genes Hspa1a and Hspa1b and inflammation-related gene Nfkbia. Trajectory analysis revealed a transition from classical monocytes (cMono) to ncMono, and potential genes orchestrating this transition process have been identified. Furthermore, T-cell suppression assays demonstrated the immune suppressive abilities of leukemia-induced circulatory macrophages. Targeting these macrophages with the GW2580 CSF1R inhibitor leads to restored immune surveillance and improved survival. Overall, we demonstrate that circulating macrophages are responsible, at least in part, for the immune suppression in SCLL leukemia models, and targeting macrophages in this system improves the survival of leukemic mice. Full article

In recent years, frequent typhoon-induced disasters have significantly increased the risk of power grid outages, posing severe challenges to the secure and stable operation of distribution grids with high penetration of distributed photovoltaic (PV) systems. Furthermore, during post-disaster recovery, the dual uncertainties of distributed PV output and the charging/discharging behavior of flexible resources such as electric vehicles (EVs) complicate the configuration and scheduling of mobile energy storage systems (MESS). To address these challenges, this paper proposes a two-stage robust optimization framework for dynamic recovery of distribution grids: Firstly, a multi-stage decision framework is developed, incorporating MESS site selection, network reconfiguration, and resource scheduling. Secondly, a spatiotemporal coupling model is designed to integrate the dynamic dispatch behavior of MESS with the temporal and spatial evolution of disaster scenarios, enabling dynamic path planning. Finally, a nested column-and-constraint generation (NC&CG) algorithm is employed to address the uncertainties in PV output intervals and EV demand fluctuations. Simulations on the IEEE 33-node system demonstrate that the proposed method improves grid resilience and economic efficiency while reducing operational risks. Full article

The rising global prevalence of inflammatory bowel diseases, including Crohn’s disease and ulcerative colitis, is paralleled by an increased risk of colitis-associated colorectal cancer. Persistent intestinal inflammation promotes genetic instability and epigenetic reprogramming within epithelial and immune cells, driving the multistep transition from inflammation to neoplasia. This review integrates human and preclinical model evidence with literature mining and bioinformatic analyses of genetic, epigenetic, and ncRNA data to dissect molecular mechanisms driving colitis-associated colorectal cancer from chronic inflammation. We highlight how pro-inflammatory cytokines (e.g., TNF-α, IL-6), oxidative stress, and microbial dysbiosis converge on key transcriptional regulators such as NF-κB and STAT3, inducing DNA methylation and histone modifications (e.g., H3K27me3); altering chromatin dynamics, gene expression, and non-coding RNA networks (e.g., miR-21, MALAT1, CRNDE); ultimately reshaping pathways involved in proliferation, apoptosis, and immune evasion. This review updates new potential associations of entities with these diseases, in their networks of interaction, summarizing major aspects of genetic and chromatin-level regulatory mechanisms in inflammatory bowel disease and colorectal cancer, and emphasizing how these interactions drive the inflammatory-to-neoplastic transition. By underscoring the reversibility of epigenetic changes, we explore their translational potential in early detection, surveillance, and precision epigenetic therapy. Understanding the interplay between genetic mutations and chromatin remodeling provides a roadmap for improving diagnostics and personalized treatments in inflammatory bowel disease-associated colorectal carcinogenesis. Full article

Background/Objectives: Biological therapies have emerged as targeted treatments for chronic rhinosinusitis with nasal polyps (CRSwNP), yet direct comparisons between agents remain limited. This network meta-analysis (NMA) aimed to evaluate and rank the efficacy and safety of biological therapies for CRSwNP in adult patients. Methods: We conducted a systematic review and NMA of randomized controlled trials (RCTs) assessing biological therapies for CRSwNP. A literature search was conducted through July 2025. Eligible RCTs compared approved or investigational biologics with a placebo and reported clinical, functional, or safety outcomes in adults with CRSwNP. The mean differences (MDs) in the least-squares mean change from baseline were used for continuous outcomes, and odds ratios (ORs) were used for binary outcomes. A frequentist random-effects model was used to estimate pooled effects and treatment rankings. SUCRA values and rank probabilities were derived to determine the relative efficacy and safety. Results: A total of 22 RCTs (46 reports; 4068 patients) evaluating eight biologics were included. Dupilumab consistently ranked among the top three agents across most efficacy outcomes, including nasal polyp score (NPS), nasal congestion score (NCS), SNOT-22, UPSIT, and endoscopic scores. CM310 and Tezepelumab also demonstrated strong performance in objective and symptom-based outcomes. For responder outcomes, CM310 was ranked best in minimal clinically important differences across multiple domains. PF-06817024 ranked best in minimizing any adverse events and serious adverse events. The placebo ranked worst across nearly all endpoints. Conclusions: Dupilumab, CM31 0, and Tezepelumab exhibit the most favorable efficacy profiles across multiple CRSwNP domains, while all drugs show a nearly similar safety profile. Full article

Lithium-oxygen batteries (LOBs) are limited by sluggish oxygen redox kinetics and cathode instability. Herein, we report a cobalt particle catalyst encapsulated in nitrogen-doped carbon (Co@NC) with a three-dimensional hierarchical architecture, synthesized via a chitosan-derived hierarchical porous carbon framework. This innovative design integrates uniformly dispersed ultra-thin carbon shells (11.7 nm), pyridinic nitrogen doping, and Co particles (1.41 μm) stabilized through carbon-support electronic coupling. The hierarchical porosity facilitates rapid O₂/Li⁺ mass transport, while pyridinic N sites act as dual-function electrocatalytic centers for Li₂O₂ nucleation and charge transfer kinetics. Co@NC achieves 11,213 mAh g⁻¹ at 200 mA g⁻¹ (126.5% higher than nitrogen-doped carbon) and maintains 1.54 V overpotential (500 mAh g⁻¹). These metrics outperform benchmark catalysts, addressing kinetic and stability challenges in LOBs. The study advances electrocatalyst design by integrating structural optimization, heteroatom doping, and electronic coupling strategies for high-performance metal–air batteries. Full article