Search Results (809)

Bacterial infections pose a persistent global threat to public health, driving the demand for rapid, sensitive, and specific detection technologies applicable to disease diagnosis, food safety, and environmental monitoring. Conventional methods like plate culture and polymerase chain reaction are often hampered by lengthy procedures, dependence on complex instrumentation, and requirements for specialized personnel. The emergence of nanozymes and nanomaterials with enzyme-like catalytic activities has introduced a paradigm shift in biosensing, offering superior stability, cost-effectiveness, and tunable functionality compared to their natural counterparts. This review provides a comprehensive and systematic analysis of the latest advancements in nanozyme-mediated bacterial detection. It is structured around the primary signal transduction modalities: colorimetric, fluorescence, electrochemical, and surface-enhanced Raman scattering (SERS) analyses. For each approach, we outline the fundamental design principles, which commonly integrate a synergistic cascade of specific recognition, catalytic signal amplification, and signal readout, and present representative applications for detecting key pathogens like Staphylococcus aureus, Salmonella, and Listeria monocytogenes in complex samples. We evaluate and contrast the advantages, analytical performance, and appropriateness of these different platforms for various practical scenarios. Finally, we address current challenges, including achieving high specificity in complex matrices, precise modulation of nanozyme activity, and method standardization. Perspectives on future research directions aimed at developing next-generation, high-performance, and potentially portable bacterial detection systems are also provided. Full article

Road disasters such as subsidence and bridge failures pose severe threats to traffic safety. Existing warning distance calculation methods typically assume homogeneous traffic flow and overlook the spatial heterogeneity of vehicle responses across different vehicle types, limiting their applicability for geospatial early warning systems. This paper proposes a dynamic warning distance model that integrates mixed-traffic flow composition—comprising human-driven vehicles (HDVs), Level 2 advanced driver-assistance system vehicles (ADASVs), and automated vehicles (AVs) of Level 3 and above—within a geospatial risk propagation framework. The model introduces vehicle-type weighting coefficients to quantify response differences, incorporates interaction delays calibrated through SUMO microsimulations, and accounts for cascading reaction delays caused by abrupt HDV braking. The methodology is illustrated using a counterfactual reconstruction of the 2024 Meizhou–Dapu Expressway collapse in China (52 fatalities). Based on reconstructed traffic conditions (80% HDVs, 15% ADASVs, 5% AVs; average speed 27.5 m/s; flow 1800 veh/h), the calculated dynamic warning distance is 153 m, which is 12% shorter than the speed-matched conventional stopping sight distance of 174 m (computed under consistent wet-pavement assumptions). Sensitivity analyses reveal that warning distance decreases substantially with increasing AV penetration (to 42 m in AV-dominated scenarios, a potential reduction of up to 74% compared with the HDV-dominated baseline, provided that residual HDVs are supported by V2X-based alerting) and varies monotonically with traffic flow, demonstrating the model’s adaptive capability. The proposed framework provides a theoretical foundation for adaptive geospatial disaster warning strategies and offers practical guidance for infrastructure development in the era of mixed-traffic automation. Full article

This study presents an approach for the “one-pot two-step” synthesis of 2,5-diformylfuran (DFF) from fructose using a metal-free phosphorus-doped carbon nitride (P-CN) catalyst. The bifunctional P-CN integrates P-O bonds for acid-catalyzed fructose dehydration to 5-hydroxymethylfurfural (HMF) and P-C/graphitic-N sites for selective aerobic HMF oxidation to DFF. The 10% P-CN catalyst achieved 91.5% DFF yield during the stepwise oxidation of isolated HMF under the mild conditions (1.5 MPa O₂, 120 °C), while the “one-pot” cascade reaction yielded 63% DFF due to competing side reactions. Characterization revealed that P-doping enhanced porosity (883 m²/g surface area) and electronic properties, with graphitic-N facilitating O₂ activation. P=O groups are hypothesized to mediate proton transfer from reactive substrates via hydrogen-bonding networks, thereby enhancing acid-catalyzed pathways. NH₃-TPD and XPS confirmed tailored acid sites and P-N/C elemental synergism, while FT-IR demonstrated substrate adsorption via P=O/HMF-OH interactions. The catalyst retained stability over multiple cycles, demonstrating its practicality. This work advances biomass valorization by elucidating the dual-role design of nonmetallic catalysts, offering an eco-friendly alternative to conventional metal-based systems. Full article

Seed oils from Sicilian white (WGSO) and red grapes (RGSO) were examined for their possible cytotoxic effect on HepG2 liver and CaCo-2 colorectal cancer cells, the latter also induced to intestinal differentiation. Half maximal inhibitory dilution (ID₅₀) values were obtained from viability assays, excluding RGSO-treated HepG2 and differentiated CaCo-2 cells exposed to both oils, which were unresponsive. Cell morphology and cycle status, reactive oxygen species (ROS) production, and the levels of cytoprotection, regulated cell death (RCD), and autophagy markers were evaluated. No occurrence of canonical apoptosis was proven in any experimental condition. In HepG2 cells, WGSO ID₅₀ primarily triggered autophagy collapse, as evidenced by modulation of Beclin-1, p62 and LC3 markers, initiating a cascade of metabolic disturbances that led to oxidative stress reaction and mild inflammatory signaling. In CaCo-2 cells, WGSO ID₅₀ mainly elicited a strong ROS-mediated cell injury without major alterations in autophagy, with transient activation but incomplete execution of pyroptotic and necroptotic effectors (gasdermin-D, pMLKL and HMGB1). In the same cells, RGSO ID₅₀ induced a weaker metabolic perturbation with transient activation of multiple RCD pathways and concomitant autophagy inhibition. Research findings revealed distinct damage-inducing properties linked to oils’ chemical profiles, underscoring their prospective utilization as beneficial bioactive supplements. Full article

Currently, single-modal tumor therapy has significant limitations, while multi-modal combination therapy can overcome this bottleneck and open up new pathways for enhancing the efficacy of tumor therapy. However, it is still difficult to design a functionalized nanocarrier that can simultaneously mediate multiple therapeutic approaches. To tackle this challenge, we developed a multifunctional nano-codelivery system with glucose oxidase (GOx) loaded inside iron-doped zeolitic imidazolate framework-8 (Fe/ZIF-8), abbreviated as GFZ. This system effectively integrates the synergy and complementarity between ferroptosis therapy and starvation therapy (STT). Herein, GFZ innovatively combines the pH sensitivity of the ZIF-8 skeleton with the EPR effect of nanoparticles to achieve on-demand triggered release, significantly improving the accuracy of tumor targeting. Furthermore, GOx-mediated STT effectively alleviates the insufficiency of endogenous H₂O₂ during the ferroptosis process, thereby enhancing and synergizing with ferroptosis therapy. Experiments demonstrated both in vitro and in vivo that GFZ activates antitumor cascade reactions, inhibits tumor recurrence and metastasis, and exhibits excellent biocompatibility. Consequently, given its remarkable potential, GFZ is poised to emerge as a new mode of nano-delivery platform. Full article

Ischemic stroke remains a leading cause of death and disability worldwide. While thrombolysis and endovascular thrombectomy are current mainstays of treatment, their clinical efficacy is often undermined by ischemia–reperfusion injury (I/R). This injury induces secondary brain damage, primarily via disruption of the blood–brain barrier (BBB). No approved therapies directly target BBB protection. This review reinterprets the pathophysiological mechanism of BBB disruption after stroke through a dynamic spatiotemporal framework. The pathological cascade reaction is clearly divided into two core stages: the ischemic phase is mainly driven by energy failure and calcium overload; the reperfusion phase is further divided into four consecutive and progressive sub-stages, namely, oxidative stress burst, amplification of inflammatory response, matrix metalloproteinase 9 (MMP-9)-mediated barrier degradation and programmed cell death. This review critically assesses current therapies and identifies major clinical translation gaps, including a temporal mismatch between preclinical and clinical windows, unacceptable toxicity, lack of durable efficacy and biphasic effects. Matching specific interventions to the different pathophysiological stages of blood–brain barrier disruption is essential for optimizing clinical outcomes. Full article

Qualitative analysis of biochemical reaction systems reveals fundamental system-level properties that are independent of precise kinetic parameters, often context-dependent, or experimentally inaccessible. By focusing on structural and topological features—such as conservation relations, feedback loops, and pathway interconnections—qualitative analysis identifies invariant behaviors, robustness mechanisms, and potential failure modes inherent to the signaling network. In this study, we use Petri nets as a formal modeling framework to conduct qualitative analysis of the integrated MAPK and PI3K/Akt signaling network. By exploiting structural properties including place invariants, transition invariants, and siphons, the analysis establishes a direct correspondence between the Petri net structure and biologically meaningful conservation laws, signaling modules, and characteristic dynamic behaviors. The results demonstrate that the proposed model is structurally consistent, biologically plausible, and modular. Minimal semi-positive place invariants confirm mass conservation, indicating that proteins and enzymes circulate within closed molecular pools. Minimal semi-positive transition invariants identify canonical kinase–phosphatase cycles underlying sustained and reversible signaling. Hierarchical decomposition reveals a modular organization reducible to reusable enzymatic motifs, reflecting biological reuse across cascades and supporting scalability. Additionally, the identification of sixteen siphons that are also traps highlights persistent subsystems that ensure continuous regulator availability, confirming the robustness and dynamic sustainability of the integrated network. Full article

Background/Objectives: Plant-derived phytochemicals are being increasingly explored for their ability to treat various illnesses, especially those affecting the vasculature. High mobility group box 1 (HMGB1) acts as a crucial mediator during the late phase of sepsis, promoting the secretion of pro-inflammatory cytokines and thereby fueling inflammation and systemic complications. Higher plasma HMGB1 levels not only hinder accurate diagnosis and prognosis but also worsen disease outcomes in inflammatory states. Picropodophyllotoxin (PPT), a key bioactive ingredient isolated from the root of Podophyllum hexandrum, has shown a range of beneficial effects, including anti-cancer and anti-proliferative actions, across several tumor types. Nevertheless, its possible involvement in HMGB1-driven severe vascular inflammation remains unexplored. The current work aimed to investigate whether PPT could influence lipopolysaccharide (LPS)-induced HMGB1 activity and its related inflammatory signaling in human umbilical vein endothelial cells (HUVECs). Methods: A combination of in vitro and in vivo approaches was used to assess the anti-inflammatory action of PPT. These included measurements of endothelial barrier function, cell survival, leukocyte attachment and migration, levels of cell adhesion molecules, and the release of pro-inflammatory factors. Both cultured human endothelial cells and mouse disease models were used to thoroughly evaluate how PPT affects HMGB1-triggered inflammatory reactions. Results: The findings showed that PPT markedly reduced HMGB1 movement from inside HUVECs to the outside, thereby limiting its release into the environment. Moreover, PPT effectively decreased neutrophil sticking and migration, lowered the appearance of HMGB1 receptors, and prevented the activation of nuclear factor-κB (NF-κB), a master switch in inflammatory signaling. At the same time, PPT treatment strongly lowered tumor necrosis factor-α (TNF-α) production, adding to its anti-inflammatory profile. Conclusions: Taken together, these results indicate that PPT potently inhibits HMGB1-driven inflammatory processes by acting at several levels of the inflammatory cascade, such as HMGB1 movement, receptor binding, NF-κB activation, and subsequent cytokine release. Therefore, PPT stands out as a hopeful therapeutic option for HMGB1-related inflammatory diseases and deserves further exploration in preclinical and clinical studies. Full article

The broad substrate specificity of enzymes, while advantageous for catalytic diversity, often leads to undesired side reactions and reduced product yields in engineered metabolic pathways. To address this challenge, we developed a programmable protein scaffold based on a self-assembled γPFD-SpyCatcher hydrogel for the in vivo co-immobilization of SpyTag-cyclized cascade enzymes, enabling the co-immobilization of cascade enzymes in a spatially organized manner. Enzymes with broad substrate specificities were linearly fused with SpyTags, facilitating their spatial organization on the nanoscaffold within engineered E. coli to ensure directed catalytic flux. Using this strategy, the yields of pinene and caffeoyl-CoA were enhanced by 5.8-fold (reaching 94.5 mg/L) and 2.4-fold (reaching 78.6 mg/L), respectively, compared to free enzyme systems. This work establishes an effective approach to mitigate the limitations posed by broad enzyme specificity and demonstrates its potential for applications in synthetic biology and industrial biotechnology. Full article

Jet-cutting—the most powerful immobilization technique—was utilized for the entrapment of recombinant E. coli cells expressing a cascade of enzymes, including alcohol dehydrogenase, enoate reductase, and cyclohexanone monooxygenase, within mechanically reinforced barium–calcium alginate beads. Cost-effective alginate beads with entrapped cells were applied in a model process for the production of the industrially relevant ε-caprolactone under bioreactor-controlled conditions, enabling parallel repeated biotransformations. Immobilization resulted in a reduced rate of cell deactivation over four biotransformation cycles, leading to overall ε-caprolactone yield increases of 36% using 0.55 mm beads and 22% using 0.9 mm beads compared to the use of free cells. Additionally, the model bioprocess was employed to investigate the metabolic adaptation of cells to immobilization and repeated biotransformations using viability assays and spectrally resolved confocal microscopy. These measurements, conducted for the first time throughout the entire cellular life cycle, clearly demonstrated that the cells retained high viability during cultivation, immobilization, and repeated use in biotransformations. Moreover, based on characteristic spectral shifts, advanced analysis via spectrally resolved confocal microscopy revealed distinct mechanisms of metabolic adaptation in entrapped cells versus free cells during repeated cascade reactions in parallel bioreactors. Full article

Calcium–silicate–hydrate (C-S-H), the primary binding phase governing cement paste cohesion, undergoes progressive physicochemical transformation upon carbonation—a process that critically dictates concrete durability in atmospheric environments. When CO₂ penetrates the porous cement matrix, it triggers a cascade of degradation mechanisms: calcium leaching decalcifies the C-S-H structure, inducing polymerization of silicate chains from dimeric to longer-chain configurations, while concurrent precipitation of calcium carbonate and amorphous silica gel fundamentally reconstitutes the nanoscale architecture. These nanoscale alterations propagate to macroscopic property evolution, manifesting as initial strength and stiffness gains due to pore-filling carbonation products followed by eventual deterioration as the cohesive binding network deteriorates. This review synthesizes current understanding of carbonation-induced structural evolution, examining the coupled influences of environmental parameters—CO₂ concentration, relative humidity, and temperature—alongside C-S-H intrinsic chemistry (Ca/Si ratio, aluminum substitution, and alkali content) on reaction kinetics and material performance. However, significant knowledge gaps persist: predictive models for in-service carbonation rates remain elusive due to the disconnect between idealized laboratory conditions and the heterogeneous, cracked reality of field concrete; the causal linkage between nanoscale C-S-H alteration and macroscale cracking patterns along with physical performance is poorly resolved, and most mechanistic studies rely on synthetic C-S-H, neglecting the compositional complexity of real Portland cement systems. We further propose emerging protection strategies, including surface barrier coatings and low-carbon alternative binders (geopolymers, calcium sulfoaluminate cements, carbon-negative materials such as recycled cement), which demonstrate enhanced carbonation resistance. Future research priorities include developing effective coating barriers for carbonation protection, developing operando characterization techniques for real-time reaction monitoring, deploying machine learning algorithms to bridge atomistic simulations with structural-scale predictions, and establishing long-term field performance databases to validate laboratory-derived degradation models. Full article

The transition to AI-driven Cyber–Physical Systems has fundamentally reshaped transportation, introducing systemic risks that transcend traditional physical boundaries. Unlike prior reviews focused on isolated technological domains, this survey proposes a novel “End-to-End” analytical framework that models the causal propagation of vulnerabilities from physical sensing hardware to human cognitive responses. Synthesizing 140 research contributions (2017–2025), we evaluate the paradigm shift from deterministic control to Generative AI and Large Language Models (Transportation 5.0). To substantiate our framework, we introduce a structured cross-layer threat matrix and mathematically formalize the technology–cognition cascade, explicitly mapping how physical layer perturbations, such as optical jamming, bypass digital edge security to trigger hazardous behavioral reactions in human drivers. We conclude that ensuring the resilience of next-generation infrastructure requires a unified analytical architecture that formally bounds hardware constraints, algorithmic safety, and human trust. Full article

The aging of the population and the increasing prevalence of multimorbidity contribute to the widespread use of polypharmacotherapy, which in turn elevates the risk of adverse drug reactions and clinically significant drug–drug interactions. One of the key yet frequently underestimated issues in clinical practice is the prescribing cascade, which occurs when an adverse drug reaction is misinterpreted as a new medical condition, leading to the initiation of an additional medication. This phenomenon is particularly relevant in the older population, in whom altered pharmacokinetics and pharmacodynamics, together with reduced organ reserve, increase susceptibility to adverse drug events, including nephrotoxicity (renal impairment is used throughout the review as a clinically relevant example of organ-specific harm resulting from prescribing cascades, rather than as the sole focus of the analysis). This article discusses the mechanisms and clinical consequences of the prescribing cascade—with particular emphasis on renal function deterioration—as well as strategies for its prevention in the geriatric population. Analysis of the literature indicates that prescribing cascades remain insufficiently recognized in clinical practice, despite the availability of pharmacotherapy assessment tools such as The American Geriatrics Society (AGS) Beers Criteria and the STOPP/START criteria. Documented prescribing cascades have been shown to contribute to deterioration in health status and quality of life, an increased frequency of hospitalizations, and a greater burden on healthcare systems. Particularly concerning are cascades involving cardiovascular, neurological, and analgesic medications, which may induce or exacerbate renal injury, ultimately leading to chronic kidney disease and organ failure. Prescribing cascades represent a significant yet frequently underestimated threat to the efficacy and safety of pharmacotherapy in older adults. Their consequences may extend beyond reduced quality of life and increased treatment costs to include serious complications such as the development of renal failure. Enhancing clinicians’ awareness, conducting systematic medication reviews, and employing validated assessment tools are essential for the identification and prevention of prescribing cascades, thereby reducing the risk of renal injury and improving clinical outcomes. Full article

Traumatic brain injury (TBI) initiates a cascade of molecular and cellular reactions leading to long-term disturbances of neuronal and glial homeostasis. One of the key mechanisms of secondary injury is a pathological increase in intracellular Ca²⁺ concentration. Parvalbumin (PV) plays an important role in the regulation of Ca²⁺ homeostasis in neurons. In turn, connexin 43 (Cx43) is the principal protein of astrocytic gap junctions (GJs), which ensure neuroglial communication. The spatiotemporal changes in these proteins and the mechanisms of their interaction after TBI remain insufficiently studied. In the present study, a comprehensive analysis of the expression, localization, and spatial organization of PV and Cx43 in the cerebral cortex following TBI was performed. In intact tissue, PV was localized predominantly in neurons, whereas Cx43 formed typical punctate structures of astrocytic GJs. Twenty-four hours after TBI, a sharp activation of PV with pronounced nuclear translocation was observed against the background of a catastrophic decrease in Cx43 expression, accompanied by a reduction in the number of NeuN⁺ neurons and signs of apoptosis. However, after 7 days, a mirror-opposite effect was detected, characterized by decreased PV expression and increased Cx43 levels with its aggregation into cluster-like structures, as well as partial restoration of NeuN immunoreactivity. In addition, molecular dynamics simulations demonstrated that the stability of the PV–Cx43 complex is determined by the presence of Ca²⁺ and physiological pH, whereas acidosis and Ca²⁺ overload destabilize their interaction. Taken together, these results reveal a phase-dependent mirror-opposite pattern of PV and Cx43 expression and localization and emphasize the key role of Ca²⁺- and pH-dependent neuroglial interactions in TBI. Full article

The mitogen-activated protein kinase (MAPK) cascade constitutes a core component of signal transduction pathways in eukaryotic organisms. With its precise, efficient, and specific mechanism of action, this cascade pathway integrates, amplifies, and rapidly transmits signals. Among them, the specificity and functional diversity of the MPK3 cascade depend on the phosphorylation interaction between MKK and MPK3, as well as the specific interaction between MPK3 and its substrates. MPK3 targets an extremely diverse array of substrates, including transcription factors, RNA-binding proteins, enzymes, and transporters. The summary of the regulatory role of the MPK3 signal mainly focuses on three functional mechanisms: The most well-known regulatory mechanism is to recognize and phosphorylate substrate proteins or transcription factors, thereby affecting the stability and transcriptional activity of downstream substrates, and thus regulating the transcriptional regulatory activity and expression of downstream genes. MPK3 can also participate in downstream functional regulation by triggering the MAPKKK-MKK4/5-MPK3/6 signaling pathways or feedback mechanisms. MPK3 can exert regulatory effects independently or together with MPK6. The redundancy of the MPK3/6 function is related to the synergistic effect of the component cascade reaction, as well as the dose-dependent activation effect. This article presents a comprehensive synthesis of the latest research progress on the regulatory role of MPK3, in plant growth, development, and stress adaptation and defence. Moreover, it provides critical evaluations and forward-looking perspectives on the future investigation of the underlying molecular mechanisms governing MPK3-mediated regulation. Full article