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No significant association between self-reported physical activity and brain volumes in women and men from five European cohorts
Use of calibrated filter paper to evaluate vaginal moisture in mice
CD9, a novel potential biomarker of sarcopenia
Impact of antibacterial therapeutic agents on biofilm-tissue interactions in a 3D implant-tissue-oral-bacterial-biofilm model
Abstract Bacterial biofilms on dental implants can lead to peri-implant infections and demonstrate a remarkable ability to evade host immunity and resist antibiotics. Advanced in vitro models, such as the three-dimensional implant-tissue-oral-bacterial-biofilm model (INTERbACT), are essential to evaluate antibiofilm efficacy. The INTERbACT model, effectively reproduces the complex triangular interactions between an organotypic oral mucosa, an integrated implant and an oral multispecies biofilms, in the peri-implant situation. Here, we investigated the effect of antibacterial agents (chlorhexidine, amoxicillin, ciprofloxacin, doxycycline, and metronidazole) on biofilm-tissue interactions in the INTERbACT model. While the antibacterial interventions had no effect on biofilm volume, all agents decreased the proportion of viable bacteria, underscoring their effect on bacterial viability despite biofilm resilience. Biofilm exposure to untreated tissues caused epithelial damage, whereas all antibacterial agents preserved epithelial integrity. However, the modulation of pro-inflammatory response differed between the various agents. All antibacterial treatments reduced hBD-2 and TIMP-1 levels. While doxycycline decreased IL-1β and CCL20, chlorhexidine lowered TNF-α level. In conclusion, the INTERbACT model allowed the successful assessment of antibacterial efficacy, elucidation of biofilm resistance and characterization of inflammation during peri-implant tissue-biofilm interactions. This validation highlights the model’s potential as a platform for developing and evaluating new therapeutic strategies for peri-implant diseases.
Nonreciprocal signal growth in space-time modulated transmission lines
MATLAB implementation of dual synergetic control for multi-rotor wind turbine systems
A novel algorithm for modeling gas–oil dynamic interfacial tension (IFT) and component exchange mechanisms
Risk evaluation of metro tunnel shield construction based on game variable weight extension cloud theory
Secure IoV communications for smart fleet systems empowered with ASCON
Thermal profile of the spine for the assessment of bone metabolic disorders
αSnap plays a pivotal role in the maintenance of Drosophila ISCs survival and tissue homeostasis
Impact of plasticity and stress history on thermal volume changes in clays
Abstract This endeavor explores fine-grained soils’ thermally induced volumetric behavior through a series of temperature-controlled oedometer experiments under drained conditions. Undisturbed clay samples were subjected to incremental heating and cooling to evaluate the effects of over-consolidation ratio (OCR), stress history, and soil plasticity. Results revealed that normally consolidated clays undergo significant plastic contraction during heating. Over-consolidated samples showed contraction-dominated responses, highlighting the limitations of OCR as a standalone predictor of thermal behavior, with stress history emerging as a key factor. Furthermore, the influence of soil plasticity was pronounced, with high-plasticity clays experiencing greater thermal contraction due to enhanced microstructural rearrangement and mineralogical effects. The heating and cooling cycle further highlighted the irreversibility of volumetric changes in normally consolidated states, while over-consolidated samples exhibited reduced thermal hysteresis. These findings offer a detailed understanding of thermally induced volume changes in fine-grained soils, revealing the interplay between stress state, consolidation history, and intrinsic soil properties. The insights gained are foundational for advancing predictive models, optimizing the design of thermally loaded geo-energy systems, and addressing climate-driven challenges such as soil-atmosphere interactions and landslide susceptibility.
Synthesis, optical, and photocatalytic properties of cellulose-derived carbon quantum dots
Social and spatial predictors of collective search behaviors
The basal area explains the abundance of stone tool sites reused by blonde capuchin monkeys
A cross-sectional survey of videoconferencing fatigue and its influencing factors during COVID-19 in the Chinese population
Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach
The giant increase of stiffness of inhomogeneous rods and beams
Abstract We demonstrate that stiffnesses of an inhomogeneous beam of coaxial structure coincide with the ones predicted by classical Bernoulli–Euler and Saint-Venant theories if and only if the indicated below conditions on the local Poisson’s ratio are satisfied. If the conditions are not satisfied, the stiffnesses of the inhomogeneous beam exceed the stiffnesses predicted by classical theories. The difference in Poisson’s ratios of the components of the rod/beam can result in a giant increase in stiffness when using materials possessing a negative Poisson’s ratio.
Neddylation status determines the therapeutic sensitivity of tyrosine kinase inhibitors in chronic myeloid leukemia
Abstract BCR::ABL1-targeting tyrosine kinase inhibitors (TKIs) dominate the treatment of chronic myeloid leukemia (CML) over the past decades. In this study, we reported an unexpected role of neddylation inhibitors in desensitizing the therapeutic efficacy of BCR::ABL1-targeting TKIs in CML. Unlike their function in reducing drug resistance in many solid tumors, we revealed that neddylation inhibitors counteracted the cytotoxicity of TKIs against CML cells, both in cellular experiments and in animal model. Conversely, neddylation agonist sensitized the function of TKIs. RNA sequencing data revealed that neddylation inhibitor reversed the transcriptomic changes induced by TKI. Co-immunoprecipitation (co-IP) assay identified ABL1 kinase domain as a novel substrate for neddylation. Furthermore, an artificial intelligence (AI) 3-Dimensional spatial structure binding technology was employed to predict the impact of neddylation on the structure of ABL1 kinase domain. Finally, we provided potential evidence showing that TKI therapy decreased the expression of neddylation enzymes in the bone marrow of CML patients. Hence, our study offers new insights into the post-translational modification (PTM)-mediated drug resistance, and highlights the potential clinical benefits of neddylation agonists in improving the responsiveness of BCR::ABL1 TKIs in CML.