Explore the vast range of titles available.

Reactive oxygen species (ROS) play vital roles in intestinal inflammation. Therefore, eliminating ROS in the inflammatory site by antioxidant enzymes such as catalase and superoxide dismutase may effectively curb inflammatory bowel disease (IBD). Here, Escherichia coli Nissle 1917 (ECN), a kind of oral probiotic, was genetically engineered to overexpress catalase and superoxide dismutase (ECN-pE) for the treatment of intestinal inflammation. To improve the bioavailability of ECN-pE in the gastrointestinal tract, chitosan and sodium alginate, effective biofilms, were used to coat ECN-pE via a layer-by-layer electrostatic self-assembly strategy. In a mouse IBD model induced by different chemical drugs, chitosan/sodium alginate coating ECN-pE (ECN-pE(C/A) 2 ) effectively relieved inflammation and repaired epithelial barriers in the colon. Unexpectedly, such engineered EcN-pE(C/A) 2 could also regulate the intestinal microbial communities and improve the abundance of Lachnospiraceae _NK4A136 and Odoribacter in the intestinal flora, which are important microbes to maintain intestinal homeostasis. Thus, this study lays a foundation for the development of living therapeutic proteins using probiotics to treat intestinal-related diseases. Inflammatory bowel disease (IBD) is a complex disease that is associated with multiple genetic and environmental variables. Here the authors develop genetically engineered probiotics with selfproducing functional proteins and biofilm self-coating for safe and efficient IBD treatment in mice.

Incomplete tumor removal after microwave ablation (MWA), a widely used hyperthermia-based therapy, can result in tumor recurrence. Herein, attenuated Salmonella typhimurium VNP20009 is engineered to release interleukin-15&interleukin-15-receptor-alpha (IL-15&IL-15Rα) in response to mildly elevated temperature. Such 15&15R@VNP colonizes in tumors upon intravenous injection, and the expression of IL-15&IL-15Rα is triggered by MWA. Anti-tumor immune responses are elicited, efficiently suppressing tumor growth even after incomplete microwave ablation. We further design VNP20009 with thermal-responsive co-expression of both IL-15&IL-15Rα and soluble programmed cell death protein (sPD-1). Such sPD-1-15&15R@VNP can also reverse the functional suppression of immune cells driven by PD-1/PD-L1 axis, reinvigorating progenitor exhausted T cells, a critical subset of cytotoxic T lymphocytes responsive to immune checkpoint blockade. Such thermal-responsive engineered bacteria are thus a promising adjuvant therapy to potentiate tumor ablation therapies via effectively activating antitumor immunity. Incomplete tumor excision can occur after microwave ablation (MWA), increasing the risks of tumor recurrence. Here the authors report the design and characterization of thermal-responsive bacteria engineered to release interleukin-15 & interleukin-15-receptor-alpha in response to incomplete MWA, promoting antitumor immune responses and limiting recurrence.

Point-of-Interest (POI) recommendation predicts users’ future check-ins based on their historical trajectories and plays a key role in location-based services (LBS). Traditional approaches such as collaborative filtering and matrix factorization model user–POI interaction matrices fail to fully leverage spatio-temporal information and semantic attributes, leading to weak performance on sparse and long-tail POIs. Recently, Graph Neural Networks (GNNs) have been applied by constructing heterogeneous user–POI graphs to capture high-order relations. However, they still struggle to effectively integrate spatio-temporal and semantic information and enhance the discriminative power of learned representations. To overcome these issues, we propose Spatio-Temporal and Semantic Dual-Channel Contrastive Alignment for POI Recommendation (S2DCRec), a novel framework integrating spatio-temporal and semantic information. It employs hierarchical relational encoding to capture fine-grained behavioral patterns and high-level semantic dependencies. The model jointly captures user–POI interactions, temporal dynamics, and semantic correlations in a unified framework. Furthermore, our alignment strategy ensures micro-level collaborative and spatio-temporal consistency and macro-level semantic coherence, enabling fine-grained embedding fusion and interpretable contrastive learning. Experiments on real-world datasets, Foursquare NYC, and Yelp, show that S2DCRec outperforms all baselines, improving F1 scores by 4.04% and 3.01%, respectively. These results demonstrate the effectiveness of the dual-channel design in capturing both sequential and semantic dependencies for accurate POI recommendation.

In a cluster-randomized trial, villages were assigned in a 1:1 ratio to use a salt substitute (75% sodium chloride and 25% potassium chloride by mass) or regular salt. Among persons who had a history of stroke or were 60 years of age or older and had hypertension, rates of stroke, major cardiovascular events, and death were lower with the salt substitute, which had no apparent serious adverse effects.

This paper introduces an efficient 3D point cloud downsampling algorithm (DFPS) based on adaptive multi-level grid partitioning. By leveraging an adaptive hierarchical grid partitioning mechanism, the algorithm dynamically adjusts computational intensity in accordance with terrain complexity. This approach effectively balances the global feature retention of point cloud data with computational efficiency, making it highly adaptable to the growing trend of large-scale 3D point cloud datasets. DFPS is designed with a multithreaded parallel acceleration architecture, which significantly enhances processing speed. Experimental results demonstrate that, for a point cloud dataset containing millions of points, DFPS reduces processing time from approximately 161,665 s using the original FPS method to approximately 71.64 s at a 12.5% sampling rate, achieving an efficiency improvement of over 2200 times. As the sampling rate decreases, the performance advantage becomes more pronounced: at a 3.125% sampling rate, the efficiency improves by nearly 10,000 times. By employing visual observation and quantitative analysis (with the chamfer distance as the measurement index), it is evident that DFPS can effectively preserve global feature information. Notably, DFPS does not depend on GPU-based heterogeneous computing, enabling seamless deployment in resource-constrained environments such as airborne and mobile devices, which makes DFPS an effective and lightweighting tool for providing high-quality input data for subsequent algorithms, including point cloud registration and semantic segmentation.

Objective Combination therapy has become the hallmark of lung cancer treatment, as it reduces the dosage intensity of individual drugs while increasing their efficacy. In the current study, we analyzed the combinatorial effect of decitabine and aspirin on non-small cell lung cancer (NSCLC) cell growth. Methods In this study, we investigated the combinatorial effect of decitabine and aspirin by MTT, colony formation, and Transwell assays. We also explored the underlying molecular mechanism via a series of in vitro and in vivo experiments. Results The combination of decitabine and aspirin regulated cell viability and migration in vitro. Moreover, the combination therapy suppressed tumor cell growth by inhibiting the β-catenin/STAT3 signaling pathway. Our study also found that the regimen increased the phosphorylation of β-catenin and decreased the expression of STAT3 and β-catenin. Conclusion The combined administration of decitabine and aspirin significantly reduced tumor growth compared with single-agent treatment and the control in vivo. The study results indicated that decitabine and aspirin could suppress NSCLC cell growth and metastasis via the β-catenin/STAT3 signaling pathway.

In China, the prevalence of chronic diseases is increasing, especially in rural areas, affecting younger populations and associating with multimorbidity. However, in resources-limited rural areas, there is a lack of primary data to the prevalence and patterns of multimorbidity in young populations. This study aims to analysis the differences in multimorbidity prevalence and patterns across different age groups and genders among adults in rural Shanxi Province. This study was a post-hoc analysis of a completed cross-sectional study. All the participants included in this post-hoc analysis were randomly selected from 80 villages from Shanxi Province. Multimorbidity, defined as the coexistence of two or more diseases in same individual, was assessed by collecting primary data (questionnaires and physical examinations) and routine data (health insurance claims and hospital electronic records). A total of 2,208 participants were included, with a mean age of 57.7 ± 10.5 years. 1283 (58.1%) were aged 30-59 years and 1152 (52.2%) were females. There were 1524 cases (69.0%) with disease and 818 cases (37.5%) with multimorbidity. Hypertension had the highest prevalence (43.5%) as well as multimorbidity pattern was often associated with it (75.3%). The three most common dyad multimorbidity patterns were hypertension and stroke, heart disease, and chronic digestive diseases, respectively. Among 30-59 years, it was hypertension respectively and stroke, chronic digestive diseases, and arthritis, while among ≥60 years, it was hypertension respectively and stroke, heart disease, and diabetes. In males, it was hypertension respectively and stroke, heart disease, and chronic digestive diseases, while in females it was hypertension respectively and arthritis, chronic digestive diseases, and diabetes. The multimorbidity prevalence among adults in rural Shanxi Province is notably high. The pattern of multimorbidity is distinct differences between age groups and genders, suggesting that prevention and management of priority diseases in specific populations should be targeted.

By enhancing evapotranspiration (ET), green roofs provide cooling benefits for the urban environment and are recognized as a promising heat mitigation strategy. The evaporative cooling effects of green roofs strongly depend on the soil moisture conditions and thus irrigation may be needed to sustain the cooling benefits. It has been shown that the magnitude of cooling benefits offered by green roof irrigation varies spatially, but its controlling factors remain elusive. In this study, we combine a surface energy balance (SEB) model with global simulations generated by an improved Earth System Model to illustrate the key factors controlling the cooling benefits of green roof irrigation. We employ a simple irrigation scheme, which is only active when there is no ice in soil layers and when the soil moisture is below field capacity. As a result, most of the irrigation water leaves the green roof system via ET. We find that the magnitude and also the spatial variability of the cooling benefits of green roof irrigation are controlled by the irrigation amount, and a surface energy redistribution factor that encodes the efficiencies of different SEB components in transferring heat. Further analysis indicates that the enhancement of latent heat flux due to irrigation is largely balanced by the reduction of sensible heat flux on green roofs. Therefore, the amount of irrigation needed per unit decrease of green roof surface temperature is mainly controlled by the convective heat transfer efficiency. A lower convective heat transfer efficiency (e.g. under a lower wind speed) helps reduce the amount of irrigation needed per unit decrease of green roof surface temperature. This study highlights the importance of SEB in constraining the cooling benefits of green roof irrigation and provides valuable guidance for urban planners and policy makers in terms of heat mitigation and sustainable water management.

Fibroblast-like synoviocytes (FLS) are important components of the synovial membrane. They can contribute to joint damage through crosstalk with inflammatory cells and direct actions on tissue damage pathways in rheumatoid arthritis (RA). Recent evidence suggests that, compared with FLS in normal synovial tissue, FLS in RA synovial tissue exhibits significant differences in metabolism. Recent metabolomic studies have demonstrated that metabolic changes, including those in glucose, lipid, and amino acid metabolism, exist before synovitis onset. These changes may be a result of increased biosynthesis and energy requirements during the early phases of the disease. Activated T cells and some cytokines contribute to the conversion of FLS into cells with metabolic abnormalities and pro-inflammatory phenotypes. This conversion may be one of the potential mechanisms behind altered FLS metabolism. Targeting metabolism can inhibit FLS proliferation, providing relief to patients with RA. In this review, we aimed to summarize the evidence of metabolic changes in FLS in RA, analyze the mechanisms of these metabolic alterations, and assess their effect on RA phenotype. Finally, we aimed to summarize the advances and challenges faced in targeting FLS metabolism as a promising therapeutic strategy for RA in the future.

Prenatal exposure to perfluoroalkyl and polyfluoroalkyl substances (PFASs) may cause adverse birth outcomes. Thyroid hormones may play a key role in mediating the effects of PFAS. We enrolled 374 mother-infant pairs from the Ezhou birth cohort study between 2019 and 2020. Eight PFASs and six thyroid hormones were measured in maternal serum during the first trimester of pregnancy. Neonatal growth metrics, including birth weight, length, head circumference, and gestational age, were acquired. Multivariate linear regression was performed to determine the associations between maternal serum PFAS and thyroid hormone levels and birth outcomes and a mediation analysis was also conducted. Except for perfluoroheptanoic acid (41.2%), the other seven PFAS detection rates were more than 85%, and the highest median concentration was observed for PFOSA with levels of 5.21 ng/mL. After controlling for typical confounders, we observed a decrease in birth length (cm) with increasing serum concentrations of perfluorononanoic acid (PFNA) (β = -0.54; 95% CI = -1.0, -0.08) and perfluorohexane sulfonate (PFHxS) (β = -0.64; 95% CI = -0.86, -0.42). Additionally, a decrease in birth head circumference was observed with increasing concentrations of perfluorooctanote (PFOA) (β = -0.73, 95% CI = -1.19, -0.27) and PFHxS (β = -0.30; 95% CI = -0.53, -0.07). Maternal free triiodothyronine (FT3) mediated 36.7% of the negative association between PFNA and birth length, and free thyroxine (FT4) mediated 30.8% of the effect of PFOA on head circumference. When performing stratified analysis by infant sex, the associations might differ between boys and girls. Our study suggested prenatal exposure to some PFASs was negatively associated with birth length and circumference, and FT3 and FT4 may partly mediate the association.