Search Results (1,347)

Plastic pollutants, including phthalates, bisphenol A (BPA), per- and polyfluoroalkyl substances (PFAS), and microplastics (MPs), are increasingly recognized as emerging environmental cofactors that intersect with infectious disease dynamics. These compounds, once considered inert, can alter immune function, reshape host–pathogen interactions, and directly influence viral survival and transmission. In this review, we compile current evidence on the chemistry, environmental occurrence, and biological activity of major plastic-associated pollutants with emphasis on their role in viral infections. Phthalates such as di(2-ethylhexyl) phthalate (DEHP) and its metabolite MEHP modulate innate immune signaling and have been shown to exacerbate infections, including Dengue and Coxsackievirus B3. Other DEHP-like phthalates, such as dibutyl phthalate (DBP), exhibit consistent infection-enhancing effects, while high molecular weight or cyclical phthalates such as polyvinyl acetate phthalate (PVAP) display conflicting results in their modulation of viral infections. BPA, widely detected in human tissues, acts through endocrine and immune disruption, worsening viral myocarditis, and altering influenza outcomes. PFAS, persistent “forever chemicals,” reshape adaptive immune responses and are associated with increased susceptibility, viral persistence, or severity of infection of herpesvirus (HCMV, EBV, HSV-1), hepatitis virus, and influenza infection. Microplastics represent a distinct risk by acting as physical carriers for viruses and bacteria, stabilizing viral RNA, enhancing host cell uptake, and skewing immune responses. Together, these pollutants extend beyond toxicology into virology, providing novel insights into how environmental exposures converge with viral pathogenesis. We highlight mechanistic advances and critical knowledge gaps and propose future directions for integrating environmental health and infectious disease research. Full article

Human alpha-herpesvirus 1 (HSV-1) acute infection culminates in life-long latency in sensory neurons in trigeminal ganglia and certain neurons in the central nervous system. Previously, E2F family members and glucocorticoid receptor (GR) were shown to stimulate HSV-1 and bovine herpesvirus 1 (BoHV-1) replication. Consequently, we hypothesized GR and E2F family members activate certain HSV-l promoters. To test this hypothesis, we determined if four HSV-1 ICP0 cis-regulatory modules (CRM) upstream of the ICP0 promoter were activated by E2F. GR and E2F2, but not E2F1, E2F3a, or E2F3b, cooperatively transactivate the ICP0 CRM-C, but not CRM-A, -B, or -D fragments upstream of a minimal promoter in a luciferase reporter construct. CRM-C sequences contain two E2F consensus binding sites, a GC-rich motif that E2F2 can bind, and a consensus ½ GR response element (GRE) adjacent to the consensus E2F #2 binding site. Mutating the ½ GRE or the 3 E2F binding sites significantly reduced GR- and E2F2-mediated transactivation. Chromatin immunoprecipitation studies revealed E2F2 occupied ICP0 CRM-C sequences during productive infection and mutating the E2F binding sites prevented E2F2 binding. These studies reveal GR and E2F2 transactivate ICP0-promoter activity, which may enhance viral replication in certain cell types. 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

Neoantigen vaccines have revitalized cancer vaccination by targeting tumor-specific mutant epitopes largely absent from central tolerance. Yet, clinical benefits remain inconsistent, in part because conventional vaccine platforms often do not reliably deliver antigens within an inflammatory tumor context, struggle to overcome immunosuppressive tumor microenvironments, and may not rapidly adapt to tumor heterogeneity and evolution. Oncolytic viruses (OVs) provide a mechanistically distinct route to “vaccinate in situ” by coupling tumor-selective infection and immunogenic cancer cell death with local innate immune activation, antigen release, and remodeling of the tumor microenvironment. In parallel, advances in sequencing, neoantigen prediction (e.g., updated NetMHCpan and MHCflurry tools as of 2025), and antigen presentation validation have enabled rational selection of patient-specific targets. At the same time, modern OV engineering supports insertion of neoantigen payloads and immune-modulatory transgenes. Here, we summarized principles that underpin neoantigen-encoded OVs as personalized cancer vaccines, emphasizing how OV adjuvanticity and antigenicity interact to drive priming, epitope spreading, and durable systemic immunity. We discussed major OV platforms with respect to payload capacity, expression control, manufacturability, and clinical track records, including lessons learned from approved or late-stage OVs such as talimogene laherparepvec (T-VEC) and teserpaturev/G47Δ. We also discussed design choices for encoding neoantigens (polyepitope strings, minigenes, long peptides; class I/II balancing), prioritizing translational biomarkers and immune-monitoring strategies, and outlining regulatory and GMP considerations for “platform-plus-variable insert” products. Finally, we propose a pragmatic clinical workflow for rapid personalization to maximize therapeutic index. Tightly integrating neoantigen science with immunovirotherapy, including recent 2025 preclinical advances like oncolytic adenovirus neoantigen delivery sensitizing low-TMB tumors to PD-1 blockade, could enable next-generation personalized cancer vaccines capable of converting “cold” tumors into responsive, systemically controlled disease. Full article

Herpes simplex virus type 1 (HSV-1) initiates infection through sequential interactions with host receptors, yet the early transcriptional responses driving HSV-mediated iritis remain poorly understood. Given the clinical burden of HSV-induced anterior uveitis and the lack of targeted therapies, we sought to define the initial host response to infection. We performed temporal transcriptomic profiling of primary human iris stromal (HIS) cells at 1, 3, and 6 h post-infection. HSV-1 triggered rapid and extensive gene expression changes, with early activation of IL-17, TNFα, MAPK, and NF-κB signaling pathways, all associated with inflammation and stress responses. At later time points, pathways related to epithelial–mesenchymal transition and the G2/M checkpoint were upregulated, alongside sustained inflammatory signaling, suggesting a balance between stromal integrity and stress adaptation. Imaging studies, together with transcriptomic data, revealed modulation of HS3ST enzymes and a corresponding loss of heparan sulfate and syndecans. These transcriptional dynamics mirror those observed in HSV-1-induced keratitis, indicating a conserved ocular response across cell types. By mapping these early events, this study identifies potential molecular targets for therapies aimed at mitigating inflammation during HSV-induced iritis. Full article

Skin cancer is a widespread and fatal disease in which early and accurate detection is an important aspect for effective treatment. The issues that arise when performing automated analysis of dermatoscopic images include artifacts such as hair, low contrast, and irregular edges of lesions that interfere with segmentation and classification. This study proposes an automated image preprocessing pipeline designed to remove artifacts while saving lesion texture and boundary. The method combines various computer vision methods and processes to produce a hairless dermatoscopic image of the sample, and lesion segmentation is subsequently performed using the HSV color space and binary masking. The effectiveness of the proposed preprocessing approach is evaluated using five state-of-the-art models: VGG16, ResNet50, InceptionV3, EfficientNet-B4, and DenseNet121. Full article

Swimming crab (Portunus trituberculatus) is a commercially valuable species in the Yellow Sea, where recent fluctuations in resource levels have raised concerns about sustainable management. This study aimed to improve the estimation of the carapace length at 50% maturity (L₅₀) using machine learning techniques, providing a more consistent and reproducible framework for visual maturity classification by standardizing image-based decision processes. Using geometric image augmentation (e.g., rotation, flipping, brightness adjustment), Hue–Saturation–Value (HSV) color segmentation, and algorithms, such as Extreme Gradient Boosting (XGB), Support Vector Machine (SVM), Random Forest (RF), and ensemble models, we classified the maturity of female crabs based on gonad color features. Model performance was evaluated using accuracy, AUC, and the TSS, with the ensemble model showing the highest predictive capability. The machine learning-based L₅₀ was estimated at 64.63 mm (±1.73 mm), yielding a narrower uncertainty range than the visually derived L₅₀ of 65.47 mm (±2.89 mm) under the same macroscopic labeling framework. These results suggest that machine learning-assisted maturity classification can enhance the precision and operational consistency of maturity estimation under a standardized framework, while biological accuracy cannot be confirmed in the absence of an independent reference, such as histological validation. Full article

Background: Herpes simplex keratitis (HSK), caused by herpes simplex virus type 1 (HSV-1), is a major cause of infectious blindness. Macrophages are key antiviral effector cells, yet the metabolic mechanisms driving their protective responses remain poorly defined. This study aimed to determine whether interleukin-33 (IL-33) modulates macrophage metabolism and function to enhance antiviral protection in HSK. Methods: Bone marrow-derived macrophages (BMDMs) were stimulated with IL-33, followed by phenotypic and functional characterization using qRT-PCR, flow cytometry, and immunofluorescence. Integrated transcriptomic and non-targeted LC-MS metabolomic profiling was performed to uncover regulatory pathways. For in vivo validation, differently treated BMDMs were adoptively transferred subconjunctivally into a mouse HSK model. Clinical scoring, fluorescein staining, TCID₅₀ quantification of tear samples, and corneal viral gene detection were used to evaluate disease severity and viral burden. Results: IL-33 stimulation increased CD169 and MHC-II expression, expanded the CD169⁺ macrophage subset, and suppressed HSV-1 replication in vitro. Multi-omics integration identified 616 differentially expressed genes and 417 differentially expressed metabolites, revealing substantial remodeling of lipid and amino acid metabolism and suggesting a critical IL-33–lipoprotein lipase (LPL)–palmitoylcarnitine (L-PC) metabolic axis. In vivo, prophylactic adoptive transfer of IL-33-treated BMDMs significantly reduced corneal opacity, epithelial injury, tear viral titers, and virogene expression. LPL inhibition eliminated these benefits, whereas L-PC supplementation partially restored antiviral and clinical improvements. Conclusions: IL-33 reprograms macrophages toward a CD169⁺ antiviral phenotype through an LPL-dependent metabolic pathway, establishing an LPL–L-PC axis essential for enhanced antiviral function and protection against HSK. These findings highlight metabolic tuning of macrophages as a potential preventive immunomodulatory approach for HSV-1-induced ocular disease. Full article

To tackle the challenges of missed detections, false alarms, electromagnetic noise, and constrained deployment resources in fabric-defect inspection, we propose a lightweight and interference-resilient fabric-defect detector based on the Discrete Wavelet Transform (DWT). First, a color-space channel separation filter leverages Hue–Saturation–Value (HSV) decomposition to suppress illumination and electromagnetic interference while preserving fabric structural details. Second, DWT is employed to extract directional texture features (horizontal, vertical, and diagonal) from complex woven structures. Third, the backbone of the You Only Look Once version 7 Tiny (YOLOv7-Tiny) is modified by replacing pooling with a Spatial Pyramid Dilated Convolution (SPD) block, which maintains fine-grained detail during downsampling. For upsampling, an inverted SPD block with channel concatenation is introduced to mitigate background redundancy caused by interpolation. Experimental results on the TILDA and DAGM datasets show that the proposed IR-YOLOv7-Tiny achieves mAP@0.5 of 96.8% and 98.8%, respectively, with only 3.5 M parameters. Outperforming baseline models achieved 2.2% and 3.9% in the mean Average Precision (mAP) at Intersection over Union (IoU) 0.5 (mAP@0.5). The results demonstrate excellent effectiveness and high deployability for resource-constrained industrial scenarios. Full article

Herpes simplex keratitis (HSK) is classically described as an immunopathological disease driven by recurrent herpes simplex virus type 1 (HSV-1) infection and chronic inflammation. So far, immune-mediated tissue damage has not fully explained the molecular mechanisms governing disease progression toward corneal neovascularization (CNV), a major cause of corneal blindness and vision loss worldwide. Increasing evidence indicates that CNV results from complex interactions that extend beyond leukocyte-driven inflammation, as the host cell machinery, including key pathways and molecular markers, is hijacked by the invading virus to establish and perpetuate replication and lifelong latency. These host–cell interactions regulate angiogenic imbalance, vascular privilege, and tissue remodeling, which collectively promote pathological vascular invasion. This review re-examines HSK by focusing on molecular mechanistic pathways and drivers that regulate disease progression towards CNV, upstream of immune response drivers. Specifically, we discuss the roles of endothelial growth factors, matrix metalloproteinases, Heparanase, and Syndecan-1 signaling, as well as microRNA-mediated regulation, and key signaling axes, including JAK2/STAT3, PI3K/AKT/mTOR, and hypoxia signaling. By integrating these pathways and molecular markers, we propose an updated mechanistic framework, including a conceptual model for the underexplored role of heparanase, and identify pathway-level targets with potential therapeutic relevance for HSK-associated CNV. Full article

Image enhancement can effectively improve the contrast, clarity, and information content of images, thereby improving visual quality. Image enhancement has significant application value in the process of identifying and diagnosing agricultural pests and diseases. This paper proposes a color image enhancement method based on color space transformation, converting the image from the RGB space to the HSV space, conducting targeted enhancement on the V channel, and combining adaptive brightness adjustment and Gamma correction to further improve the visual effect. To achieve better enhancement results, this paper designs a crayfish optimization algorithm with a random perturbation strategy and removal similarity operation (COA-RPRS). This algorithm achieves a dynamic balance between exploration and exploitation through an adaptive temperature calculation formula and improves the position update mechanism in the summer escape, competition, and foraging stages, significantly enhancing convergence performance. Moreover, introducing a removal similarity operation and a random perturbation strategy based on Lévy flight effectively maintains population diversity and prevents premature convergence. Experimental verification was conducted on the CEC 2017 test functions, 20 color images, and 10 images of rice pests and diseases, showing that COA-RPRS achieves superior performance compared to eight other comparison algorithms in both global optimization and color image enhancement tasks. These results suggest its potential applicability in supporting intelligent recognition and diagnostic systems for agricultural pest and disease management. Full article

This study examines the utilization of deep learning and transfer learning models for classifying photos of Indian cuisine. Indian cuisine, characterized by its extensive diversity and intricate presentation, poses considerable hurdles in food recognition owing to changes in ingredients, texture, and visual aesthetics. To tackle these challenges, we utilized a bespoke Convolutional Neural Network (CNN) and harnessed cutting-edge transfer learning models such as DenseNet121, InceptionV3, MobileNet, VGG16, and Xception. The research employed a varied dataset comprising 13 food categories and executed preprocessing techniques like HSV conversion, noise reduction, and edge identification to improve image quality. Metrics for performance evaluation, including accuracy, precision, recall, and F1-score, were employed to assess model efficacy. The CNN model demonstrated a mediocre performance, revealing overfitting concerns due to a substantial disparity between training and validation accuracy. In contrast, transfer learning models, particularly DenseNet121, InceptionV3, and Xception, exhibited an enhanced generalization ability, each attaining above 92% accuracy across all criteria. MobileNet and VGG16 produced reliable outcomes with marginally reduced performances. The results highlight the efficacy of transfer learning in food image classification and indicate that fine-tuned, pre-trained models markedly improve classification accuracy. This research advances the creation of intelligent food recognition systems applicable in dietary monitoring, nutrition tracking, and health management. Full article

The quality of rebar construction is a critical factor that significantly affects the structural stability of reinforced concrete structures. Various automated inspection technologies have been developed to overcome the limitations of conventional labor-intensive inspection methods. However, owing to the complex geometry of rebar arrangements and challenging site conditions, existing approaches still face difficulties in achieving the high accuracy and real-time performance required for practical applications. To address these limitations, this study proposes an automated rebar-spacing inspection technique based on color recognition of painted tie wires with the aim of improving the efficiency and accuracy of data recognition and processing. Field experimental results demonstrated that the use of fluorescent-green tie wires in the HSV color space minimized false detections and achieved a high average recognition rate of 92.6% with the identification of optimal threshold ranges. Furthermore, by utilizing tie-wire intersection coordinates, the stable identification of rebar arrangement conditions and reliable estimation of rebar spacing were achieved, even under conditions with missing data. The proposed automated inspection method can enable more efficient data acquisition and processing under complex construction site conditions while providing accurate and reliable inspection results. Full article

Apoptosis is a natural mechanism that shapes morphogenesis and helps maintain tissue homeostasis in healthy organisms. It is also extensively studied in the context of pathologies such as cancer and viral infections. The course of the latter strictly depends on host cell viability; therefore, regulators of apoptosis may play essential roles in distinct viral infections as well as virus-dependent diseases. The p53-upregulated modulator of apoptosis (PUMA), a pro-apoptotic member of the B-cell lymphoma 2 (Bcl-2) family, directly disrupts mitochondrial integrity, thereby promoting the intrinsic apoptotic pathway. PUMA-mediated cell death act as a double-edged sword that may either facilitate viral infection and its consequences or counteract them, depending on the infectious agent and the complex context of pathogen–host interactions. Accordingly, various viruses have evolved strategies to modulate host cell viability to their advantage by targeting PUMA—either by suppressing transcription of the PUMA gene, binding and inactivating the PUMA protein, or, conversely, inducing its production. In this work, we describe the role of PUMA in infections caused by distinct viruses and in associated diseases, viral strategies for modulating PUMA-related signaling pathways, and potential therapeutic implications. Full article

Homemade explosives (HMEs) are of increasing interest to security forces worldwide due to their widespread utilization by terrorists. Their synthesis is relatively straightforward, requiring only a few readily available chemical compounds. Among the most popular HMEs are organic peroxides, specifically triacetone triperoxide (TATP) and hexamethylene triperoxide diamine (HMTD). This manuscript reports on a paper-based sensor developed for the detection of HMTD. The sensor facilitates fast, inexpensive, and simple detection of this peroxide. The developed sensor was compared with well-established commercial and in-house-developed iodometric tests typically used for peroxide determination. The colorimetric principle was based on the use of a potassium iodide and citric acid solution applied to a paper substrate. The HMTD and TATP samples were prepared in an acetone–water mixture (1:1, v/v). The sensor was able to detect HMTD down to a limit of 0.01 mg/mL. The developed sensor does not exhibit cross-reactivity with other explosives, including TATP. Furthermore, an HSV analysis of the photographs was performed using the Trigit application. Full article