Search Results (2,870)

This study describes the development of an electrochemical sensor for quantitatively measuring acetaminophen (ACOP) in drug tablets. The sensor design is based on the modification of glassy carbon electrode (GCE) using zinc oxide nanoparticles (ZnONPs) embedded in a naturally occurring clay matrix (Sa) functionalized with phenylalanine (Phe). To ensure that the ZnONPs are homogeneously dispersed on the clay surface, the nanocomposite was synthesized using an impregnation approach and low-temperature heat treatment. The amino acid promotes specific interactions with ACOP through hydrogen bonding and π-π stacking, acting as both a stabilizing agent and a molecular recognition moiety. FTIR, UV-Vis, XRD, and FESEM/EDX mapping were employed to fully characterize the developed material (ZnONPs-Sa/Phe). Cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were used for the electrochemical determination of ACOP using the modified electrode GCE/ZnONPs-Sa/Phe. Parameters susceptible to affecting the sensitivity of the developed sensor were optimized, revealing that 5 µL of the suspension ZnONPs-Sa/Phe immobilized on GCE was ideal for the sensing of ACOP in a phosphate buffer solution at pH 2.0. The calibration curve obtained by plotting peak current intensity against ACOP concentration exhibited linear behavior within the concentration range between 0.02 µM and 0.28 µM, enabling determination of the limits of detection (LOD) and quantitation (LOQ) at 8.54 × 10⁻⁹ M and 2.84 × 10⁻⁸ M, respectively. The reproducibility, stability, and selectivity of the sensor were evaluated, followed by its application to the nano-sensing of ACOP in Africure and Doliprane tablets, yielding satisfactory results. The simplicity, affordability, and high analytical sensitivity of the developed sensor make this sensing platform a promising tool for pharmaceutical quality control applications. Full article

Natural food-derived proteins are increasingly explored as alternatives to synthetic inhibitors for managing Type 2 diabetes mellitus. Despite the recognized health-promoting properties of Morchella esculenta, the potential of its bioactive proteins to modulate glucose metabolism remains largely unexplored. This study systematically investigated the structural basis and hypoglycemic mechanisms of MEP5 (Morchella esculenta Protein 5), a fucose-specific lectin from M. esculenta, using an integrated in silico pipeline. MEP5 (33.12 kDa) adopts a stable β-sheet-rich conformation and harbors a conserved fucose-binding carbohydrate-recognition domain. Protein–protein docking revealed that intact MEP5 binds directly to surface glycans of human α-glucosidase, generating steric hindrance that obstructs the catalytic pocket. Simulated gastrointestinal digestion yielded a highly bioavailable peptide profile. Following a rigorous multiparametric screening for toxicity, allergenicity, and water solubility, 11 short oligopeptides were identified as potent dipeptidyl peptidase-IV (DPP-IV) inhibitors. Molecular docking demonstrated that the top-ranked peptides, QPPR, DGTY, and DPDSH, occupy the S2 pocket of DPP-IV and form hydrogen bonds with catalytic triad residues (Ser630/His740). These findings delineate a dual-stage hypoglycemic mechanism, pre-digestion enzymatic blockade and post-digestion incretin regulation, and support the potential of MEP5 as a multifunctional candidate for glucose homeostasis-oriented functional foods. Full article

Background: Standardized and ethically compliant animal models remain essential for improving translational research in Alzheimer’s disease. Although Aβ_1–42-induced rodent models are widely used, methodological variability continues to limit reproducibility. Methods: We explored the feasibility of a stereotactic intrahippocampal Aβ_1–42 rat model established by bilaterally injecting pre-aggregated peptide into the hippocampus of adult Sprague Dawley rats. Model feasibility and targeting accuracy were assessed intraoperatively. Cognitive performance was evaluated using the Y-maze for spatial recognition memory and the novel object recognition (NOR) test. Histological examination was performed using hematoxylin–eosin (H&E) and Congo red staining to assess cytoarchitecture and to provide supportive evidence of amyloid-like deposits. Results: The surgical procedure was well-tolerated, and the injected animals showed reduced performance in behavioural testing, including reduced spatial recognition memory in the Y-maze and decreased discrimination indices in the NOR test. The animals also showed histological changes, including Congo red-positive birefringent structures consistent with amyloid-like congophilic material. Conclusions: This study presents a feasible experimental framework for intrahippocampal Aβ_1–42 administration, showing behavioural and histological changes under the present experimental conditions. However, further validation, including sham-operated controls and molecular characterization, will be required before these findings can be interpreted as specific to Aβ-driven pathology. Full article

Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for molecular analysis, yet the recognition of mixed spectra remains challenging because severe peak overlap makes mixture-specific data expensive to acquire and difficult to cover exhaustively. Current machine-learning approaches often rely on labeled mixture datasets, synthetic mixed spectra, or prior component-matching schemes, making their performance strongly dependent on task-specific mixture data. A pure-spectrum-trained framework for SERS mixture recognition is presented here based on component evidence learning and two-stage inference. Using paraquat, thiram, and tricyclazole as representative target compounds, the framework learns reusable constituent-level evidence directly from pure-substance spectra and converts it into mixture-category predictions within a unified recognition model. This design avoids mixture-specific parameter training while enabling direct recognition of binary and ternary mixtures. Experiments on SERS spectral datasets yielded a mixture recognition accuracy of 98.58%. The results show that pure-substance spectral learning can support accurate recognition of complex SERS mixtures and provide a scalable strategy for mixture analysis when labeled mixture data are limited. Full article

Cholangiocarcinoma (CCA) is a highly aggressive malignancy that is difficult to diagnose early and carries a poor prognosis. Conventional serological diagnostics are limited by inadequate sensitivity and the risks of invasive procedures, resulting in most patients being diagnosed at an advanced stage. In recent years, liquid biopsy has emerged as a novel approach for non-invasive and dynamic molecular tumor monitoring by detecting biomarkers such as circulating tumor cells (CTCs), extracellular vesicles (EVs), circulating tumor DNA (ctDNA) and clusterin (CLU). Furthermore, artificial intelligence (AI) has demonstrated strong potential in aiding diagnosis through medical image analysis, pathological pattern recognition, and multi-omics data integration, significantly improving the precision of early detection, risk stratification, and treatment response monitoring in CCA. This review systematically summarizes recent advances in liquid biopsy and AI for CCA diagnosis, discusses their clinical potential and current challenges, and offers perspectives on how their integration can propel the field toward earlier and more precise management of the disease. Full article

Multilingual learning is key in natural language processing, but is challenged by the transfer–interference trade-off, where positive transfer benefits certain languages, while negative interference affects others. Prior methods, including linguistic-based and embedding-based language clustering, have attempted to address this; yet, they remain constrained by their static design and lack of task-specific feedback. In this study, we propose a novel computational strategy inspired by molecular design that constructs molecules with targeted properties. Languages are modeled as nodes in an undirected graph, with edges representing the transfer strength. This language molecule is optimized via Reinforcement Learning to adjust edge connections and weights to enhance positive transfer and minimize interference, where graph clustering is applied, and clusters are then evaluated on the Named Entity Recognition and POS tagging tasks using 25 languages from the WikiANN dataset and 12 typologically diverse languages from the UDPOS dataset. Compared to linguistic and embedding-based language clustering baselines, our method yields substantial improvements, especially for low-resource languages, with some showing over 35% increase in F1 score, while high-resource languages benefit moderately, confirming reduced transfer–interference trade-off. Our atom–language model offers a novel path for multilingual learning, inspired by molecular principles from physical sciences. Full article

Background/Objectives: SARS-CoV-2 is the causative agent of COVID-19, an infectious viral respiratory disease with human-to-human transmission. Current molecular understanding of how hosts respond to infection by respiratory viral pathogens in general and to SARS-CoV-2 in particular is still a research field under development. The activation levels of various host pathways are dependent on several variables, including the host tissue compartment. Methods: In this work, Illumina RNA sequencing was performed to assess the transcriptional host response to SARS-CoV-2 infection using COVID-19 PCR testing nasopharyngeal (NP) swab remnants from twenty infected and nine non-infected individuals. Results: Differential gene expression (DGE) analysis identified 182 overexpressed genes, with strong enrichment in innate immune and viral response genes. This included a significant induction of IFIH1/MDA5, a pattern recognition receptor (PRR) gene participating in the initial sensing of viral RNAs and subsequent cascade activation of interferon (IFN) and IFN-stimulated genes (ISGs). Interestingly, we observed different levels of concordance with previous similar studies and a significant induction of RIG1 and TLR3, two PRR genes encoding proteins that function to upregulate IFN and ISGs, but which are not normally identified as differentially expressed genes (DEGs). Finally, the overexpression of MX1, a well-characterized biomarker of viral infection; IFIT1, one of the top upregulated genes; and OAS1, OAS2 and OAS3, genes with a molecular function, 2-5-oligoadenylate synthase activity, identified as enriched in the DGE analyses, was confirmed by RT-qPCR. Conclusions: This study provides insights into upper respiratory tract responses to SARS-CoV-2 infections and identifies a set of differentially expressed genes (DEGs) with potential as candidates for further investigations as viral infection biomarkers. Full article

Black-boned chicken is a native and valuable breed that is very important in the meat products of China. However, the molecular mechanisms underlying differences in muscle flavor between sexes remain unclear. In this study, 360-day-old male (BM, n = 6) and female (BF, n = 6) Xichuan black-boned chickens were used to screen differential lipids and differential flavor compounds in breast muscle tissue by lipidomics and flavoromics. This was followed by multivariate statistical analysis, functional enrichment and correlation network analysis of the differential lipids and flavor compounds obtained. Lipidomics identified 419 differential lipids associated with BM vs. BF, which were mainly enriched in glycerolipid metabolism and metabolic pathways. Flavoromics analysis identified 61 differential flavor compounds, and enrichment analysis showed that the terpenoid backbone biosynthesis pathway may be correlated with chicken muscle flavor formation. Correlation analysis revealed that triglyceride-type lipid molecules were closely related to the flavor compound 3-ethyl-2-methylheptane. These findings provide novel insights into the sex-related differences in the meat quality of Xichuan black-boned chickens, offering important data for their recognition and evaluation. Full article

Hybrid rocket technologies are gaining recognition as eco-friendly alternatives to traditional propulsion systems. Utah State University’s Propulsion Research Laboratory has developed a High-Performance Green Hybrid Propulsion (HPGHP) technology, leveraging 3D-printed ABS fuel for reliable, low-energy ignition. Among tested materials, only ABS shows suitable electrical-breakdown properties for arc ignition. Unfortunately, due to the proprietary formulations in commercial ABS blends, and its limited use as a rocket-propellant, related composition and combustion data are limited. This study uses spectroscopic evaluation and bomb calorimetry to estimate material compositions, enthalpies of formation, and combustion energies for multiple commercially available 3-D print feed stock ABS types, finding minimal differences amongst the samples tested. Based on these test results, “representative” ABS properties including chemical formula, mean molecular weight, enthalpy of formation, and Higher Heating Value, is recommended. Follow-on tests with 5 alternative, commonly used, 3D-printable thermoplastic feed stocks demonstrate that ABS has significantly higher energy content. This result supports ABS’s advantages and utility as a conveniently fabricated hybrid rocket fuel. Full article

Galeruca daurica (Joannis) (Coleoptera: Chrysomelidae) is an oligophagous pest in which both adults and larvae prefer to feed on Allium forage grasses of the Liliaceae family. In this study, we identified gustatory receptor (GR) genes based on the transcriptome data of G. daurica; analyzed the expression profiles of these GR genes across different larval instars and various tissues of male and female adults using quantitative real-time PCR (qRT-PCR); detected the electrophysiological responses of the mouthparts of male and female G. daurica adults to flavonoids and carbohydrates using single sensillum recording (SSR); and recorded the changes in food consumption of G. daurica adults after feeding on six host plant-derived metabolites. A total of 26 GR genes were identified from the transcriptome data of adult and larval of G. daurica. Phylogenetic analysis was performed to screen candidate functional gustatory receptor genes, including four sugar receptors (GdauGR7, GdauGR10, GdauGR14 and GdauGR28), seven bitter receptors (GdauGR11, GdauGR16~17, GdauGR22, GdauGR25~26 and GdauGR30), and two CO₂ receptors (GdauGR15 and GdauGR20). Larval expression profiling of GdauGRs in G. daurica revealed that the relative expression levels of 17 genes exhibited dynamic changes during larval growth and development. GdauGRs were expressed to varying degrees in the antennae, mouthparts, brain, gut, and forelegs of adult G. daurica, with sex-specific differences. Notably, the expression levels of GdauGR4, GdauGR9 and GdauGR16 in the gut were extremely significantly higher than those in other tissues. In the SSR test, the six tested flavonoids and one carbohydrate were able to induce robust electrophysiological responses in the gustatory sensilla on the antennae and mouthparts of adult G. daurica at specific concentrations. In addition, the supplementation of several host-derived metabolites altered the food consumption of adult G. daurica. These findings lay a solid foundation for elucidating the molecular mechanisms underlying gustatory recognition and host adaptation in G. daurica. Full article

Tumor-associated Tie2-expressing monocytes/macrophages (TEMs) have been implicated in promoting angiogenesis and metastasis in colorectal cancer (CRC), yet the molecular mechanisms linking TEMs infiltration to tumor metastasis and progression remain incompletely defined. This study investigated the distribution of TEMs in CRC and their association with gene expression profiles, microvessel density (MVD), and clinical outcomes. Immunohistochemistry on 30 formalin-fixed paraffin-embedded (FFPE) primary CRC samples revealed that TEMs, which characteristically express tyrosine kinase with immunoglobulin and epidermal growth factor homology domains 2 (Tie2) receptor and CD14, preferentially localize to perivascular regions and are associated with higher histological grade, tumor size, lymph node metastasis, and increased MVD. However, Tie2⁻/CD14⁺ macrophages and CD68⁺ tumor-associated macrophages (TAMs) showed uniform stromal distribution. Gene set enrichment analysis (GSEA) of in silico transcriptomic datasets of metastatic CRC (mCRC) identified enrichment of pathways related to cell–cell recognition, calcium signaling, transcription regulation, and metalloexopeptidase activity in Tie2⁺/CD14⁺ tumors. Subsequent qRT-PCR validation on FFPE primary CRC samples confirmed significant upregulation of C-C chemokine receptor 7 (CCR7), platelet-derived growth factor A (PDGFRA), CBP/p300-interacting transactivator with glutamic acid/aspartic acid-rich carboxyl-terminal domain 2 (CITED2), and carboxypeptidase E (CPE) in TEMs⁺ regions. Notably, angiopoietin1 (Ang1), but not angiopoietin2 (Ang2), was significantly elevated in TEMs⁺ primary tumors. Kaplan–Meier analysis on 1336 CRC patients indicated that high expression of CITED2, CPE, and Ang2 is associated with reduced overall survival. Collectively, these findings suggest that TEM infiltration is linked to transcriptional regulation, biological processes, and enzymatic programs in CRC, potentially contributing to tumor progression and poor prognosis, and highlight CCR7, PDGFRA, CITED2, CPE, and Ang1 as candidate biomarkers for further mechanistic exploration. Full article

Autoimmune diseases arise from the failure of self-tolerance. The recognition of self-antigen peptide–MHC (pMHC) complexes by the T-cell receptor (TCR) is the fundamental event triggering autoimmune pathogenesis. While traditional immunosuppressants provide broad systemic effects, they often compromise global immunity. Emerging molecular strategies aim to selectively disrupt the trimolecular complex—comprising the TCR, the antigenic peptide, and the MHC molecule—to induce antigen-specific tolerance. This review highlights the pMHC–TCR interaction as the primary molecular checkpoint for antigen-specific intervention. We discuss the structural basis of these interactions and their potential to redefine the therapeutic landscape for autoimmune diseases (ADs). We examine the molecular drivers of tolerance breakdown—including genetic susceptibility, molecular mimicry, post-translational modifications (PTMs), and ectopic MHC II expression—that shape the autoreactive T-cell landscape. This review examines current advancements in biological and pharmacological interventions, such as pMHC-decorated nanoparticles and soluble pMHC, to reprogram pathogenic T-cell response. We also explored CAR-T therapy strategies for autoimmune diseases, such as CAR-Treg, designed to precisely modulate pMHC-TCR signaling. Collectively, these precision interventions in immunological synapse assembly during autoimmune response are considered the basis for safer, antigen-specific immunotherapy capable of restoring self-tolerance without global immunosuppression. Full article

Isoxanthohumol (IX) is a prenylated flavonoid derived from hop cones (Humulus lupulus) that is gaining increasing recognition for its potential biological effects. Despite numerous studies on its precursor, xanthohumol, studies on IX remain limited. Of particular interest is its metabolism, particularly its biotransformation by gut microbiota to 8-prenylnaringenin (8-PN), a potent phytoestrogen, which indicates the complex nature of its biological activity and potential health implications. This review summarizes the current state of knowledge on IX and its derivatives, covering their microbial metabolism, their impact on the gut microbiome, and the metabolic consequences of this conversion. Furthermore, it examines the relationship between the molecular structure of IX and its derivatives and their biological activity, highlighting existing research gaps and the need for further research on the safety and therapeutic potential of these compounds Full article

Background/Objectives: Febrile illness in returning travelers presents a diagnostic and operational challenge for emergency medicine clinicians as early symptoms of high-consequence tropical infections often overlap with common viral syndromes. This review synthesizes current evidence to guide frontline clinicians in the systematic evaluation, diagnosis, and management of internally acquired febrile illnesses with a focus on pathogen of greatest relevance to United States (US) emergency departments (ED). Methods: We conducted a narrative review of the literature addressing epidemiology, clinical presentation, diagnostic testing, and management strategies for key travel-associated infections. Special consideration was given to rapid diagnostic modalities, pediatric risk factors, and infections most frequently implicated in returning travelers, including chikungunya (CHIK), dengue virus (DENV) disease, Ebola virus (EBV) disease, malaria, Mpox, typhoid fever (TF), yellow fever (YF), and Zika virus (ZIKV) disease. Results: Effective evaluation begins with a detailed travel and exposure history, recognition of epidemiologic and clinical red flags, and targeted use of rapid diagnostic tests. Malaria remains the most common life-threatening cause of post-travel fever and the only pathogen with reliable Food and Drug Administration (FDA)-cleared rapid testing available in the ED. Arboviral infections such as DENV, CHIK, ZIKV, and YFrequire region-specific consideration and phase-appropriate molecular or serologic evaluation. Emerging and high-consequence pathogens, including Mpox and EBV, necessitate strict infection control measures and coordination with public health authorities. Pediatric travelers, particularly those visiting friends and relatives, face disproportionate risk for severe systemic infections and often require broader diagnostic testing. Conclusions: A structured approach integrating travel history, focused examination, rapid diagnostics, and early recognition of high-risk features is essential to improving outcomes for febrile returning travelers. Strengthened vector control, enhanced vaccination uptake, and global surveillance are critical to reducing future disease burden. Full article

Glycosylation is one of the most prevalent post-translational modifications of membrane proteins and plays a central role in regulating their structure and function. Unlike many existing reviews that address glycosylation in a system-wide context, this review focuses specifically on membrane proteins and examines how glycosylation shapes their functional behavior and clinical relevance. Because membrane proteins are exposed to the extracellular environment, glycans on their surface directly influence protein folding, receptor organization, and interactions with ligands and immune components. These diverse effects can be understood within a common mechanistic framework in which glycosylation modulates protein conformation, receptor clustering, and membrane organization, thereby altering signaling, adhesion, transport, and immune recognition. We discuss how N-linked and O-linked glycosylation regulate major classes of membrane proteins across these processes. Particular attention is given to disease-associated alterations in glycosylation, especially in cancer, immune and inflammatory disorders, and metabolic disease. For instance, glycosylation-dependent stabilization of PD-L1 and modulation of receptor signaling, such as EGFR, illustrate how glycan modifications contribute to immune evasion and therapeutic response. We further consider the clinical implications of membrane protein glycosylation, including its roles in biomarker development and as a potential target for therapeutic intervention. Advances in glycoproteomic technologies have enabled increasingly detailed characterization of site-specific glycosylation, although significant analytical challenges remain, particularly for membrane proteins. Overall, this review highlights membrane protein glycosylation as a dynamic regulatory layer that links molecular mechanisms to functional outcomes and clinical applications. Full article