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Non-small cell lung carcinoma (NSCLC) metastasis is responsible for most of cancer-related mortality. The tumor associated macrophages (TAMs) are known to be crucial cells in lung cancer and are usually divided into two antagonistic types, M1 and M2. Puerarin has a wide spectrum of pharmacological properties. The present study explores puerarin on macrophage polarization and metastasis of NSCLC. The results demonstrated that puerarin inhibited tumor growth and tumor volumes in NSCLC xenograft model, increased M1 markers [CD197+, inducible nitric oxide synthase (iNOS)+, CD40+)] and reduced M2 markers (CD206+, Arg-1+ and CD163+). Besides, puerarin elevated the level of pro-inflammatory cytokine interferon (IFN)-γ, tumor necrosis factor (TNF)-α and interleukin (IL)-12, decreased the expression of pro-tumor cytokines IL-10, IL-4 and transforming growth factor (TGF)-β. To explore whether puerarin directly acts on macrophages, we purified macrophages from NSCLC model, the results showed that puerarin inhibited macrophages polarized to M2 phenotype and did not require the auxiliary of other cells. In addition, puerarin suppressed the invasion and migration of NSCLC macrophages, restrained the expression of angiogenesis factors. Puerarin also inhibited the activation of mitogen-activated extracellular signal-regulated kinase (MEK)/extracellular signal-regulated kinase (ERK) 1/2 pathway through inhibition of ERK nucleus translocation. Finally, IL-4 induced M2 macrophage polarization and metastasis were partially offset by puerarin through inactivating the MEK/ERK 1/2 pathway. Taken together, this study validated that puerarin is able to skew macrophage populations back to M1 subsets to stimulate antitumor effects and suggests puerarin is a negative metastatic regulator of NSCLC.

Estimation of fluid saturation is an important step in dynamic reservoir characterization. Machine learning techniques have been increasingly used in recent years for reservoir saturation prediction workflows. However, most of these studies require input parameters derived from cores, petrophysical logs, or seismic data, which may not always be readily available. Additionally, very few studies incorporate the production data, which is an important reflection of the dynamic reservoir properties and also typically the most frequently and reliably measured quantity throughout the life of a field. In this research, the random forest ensemble machine learning algorithm is implemented that uses the field-wide production and injection data (both measured at the surface) as the only input parameters to predict the time-lapse oil saturation profiles at well locations. The algorithm is optimized using feature selection based on feature importance score and Pearson correlation coefficient, in combination with geophysical domain-knowledge. The workflow is demonstrated using the actual field data from a structurally complex, heterogeneous, and heavily faulted offshore reservoir. The random forest model captures the trends from three and a half years of historical field production, injection, and simulated saturation data to predict future time-lapse oil saturation profiles at four deviated well locations with over 90% R-square, less than 6% Root Mean Square Error, and less than 7% Mean Absolute Percentage Error, in each case.

Lymphatic invasion (LI) is extremely aggressive and induces worse prognosis among patients with colorectal cancer (CRC). Thus, it is critical to characterize the cellular and molecular mechanisms underlying LI in order to establish novel and efficacious therapeutic targets that enhance the prognosis of CRC patients. RNA-seq data, clinical and survival information of colon adenocarcinoma (COAD) patients were obtained from the TCGA database. In addition, three scRNA-seq datasets of CRC patients were acquired from the GEO database. Data analyses were conducted with the R packages. We assessed the tumor microenvironment (TME) differences between LI+ and LI− based scRNA-seq data, LI+ cells exhibited augmented abundance of immunosuppression and invasive subset. Marked extracellular matrix network activation was also observed in LI+ cells within SPP1+ macrophages. We revealed that an immunosuppressive and pro-angiogenic TME strongly enhanced LI, as was evidenced by the CD4+ Tregs, CD8+ GZMK+, SPP1+ macrophages, e-myCAFs, and w-myCAFs subcluster infiltrations. Furthermore, we identified potential LI targets that influenced tumor development, metastasis, and immunotherapeutic response. Finally, a novel LIRS model was established based on the expression of 14 LI-related signatures, and in the two testing cohorts, LIRS was also proved to have accurate prognostic predictive ability. In this report, we provided a valuable resource and extensive insights into the LI of CRC. Our conclusions can potentially benefit the establishment of highly efficacious therapeutic targets as well as diagnostic biomarkers that improve patient outcomes.

In this paper, CiteSpace (6.1.R6) software was used to visualize and analyze the number of papers, terminology, countries, institutions, and collaborative networks of authors in the field of biogas upgrading in the years 2009 to 2023 to provide theoretical references for related researchers and departments. The progress of biogas upgrading research is divided into three phases: 2009 to 2011 (Phase I), 2012 to 2015 (Phase II), and 2016 to 2022 (Phase III). The first phase laid the theoretical foundation for the later phase, which included the fields of biomethanation and variable pressure adsorption. The physical/chemical biogas upgrading technology in the second phase gradually matured. The number of research papers published in the third phase increased rapidly, and with the rapid increase in the number of published research papers, which accounted for 73.2% of the total amount of research and statistical literature, this phase of biogas upgrading technology research is even more mature. In addition, the field of biogas upgrading has a small network of cooperation among researchers, and no close cooperation exists among the countries and research institutions involved. Under the trend of carbon emission reduction, “life cycle assessment” and “biomethanation” clusters have become the current research frontiers in the field of biogas upgrading.

This study employs a composite method involving gypsum and polyurethane to modify waste slurry to create a recycled roadbed material, aiming to promote the resource utilization of waste slurry. Through unconfined compressive strength (UCS) tests and various microscopic analyses, the mechanical properties and microscopic mechanisms of gypsum-polyurethane modified waste slurry with different moisture content at 1-day curing age were examined. The findings reveal that compared with the matrix doped with gypsum/polyurethane alone, gypsum-polyurethane compounds exhibit significantly better performance. Under normal conditions, the single addition of gypsum and polyurethane modification respectively increased the UCS by a maximum of 194% and 216%, and the optimal proportion of composite modification (I9G20S15) reached the maximum UCS value of 2244 kPa. Under immersion conditions, the maximum increase in UCS for gypsum modification is 347%, for polyurethane modification it is 363%, and for the optimal ratio of composite modification (I9G25S15), the UCS reaches 1417 kPa. Scanning electron microscope (SEM) analysis indicates that polyurethane-modified waste slurry exhibits extensive crystal formation and agglomeration, forming a robust skeleton that improves mechanical performance. On the other hand, gypsum-modified waste slurry demonstrates a cross-linked structure of crystalline hydrates and network stacking, improving mechanical performance of the specimens. Furthermore, under the condition of remixing, specimen pores are filled, leading to enhanced compactness and subsequently increased strength. These findings underscore the potential of gypsum-polyurethane modified waste slurry as a promising material for sustainable road construction applications.

The optimal amount of biogas slurry was determined to improve both the yield of Brassica chinensis L. (BL) and soil quality. An experiment was set up with six sets of drip irrigation gradients (1:3 mix of biogas and water) of 12 (BS-1), 15 (BS-2), 18 (BS-3), 21 (BS-4), 24 (BS-5), and 27 (BS-6) L. Each treatment was repeated three times and irrigated eight times. The radius of drip irrigation was 1.2 m, and the dripping speed was 2 L/h. The highest plant height, fresh weight, dry weight, soluble sugar content, and protein content of 25.2 cm, 16.7 g, 1.10 g, 0.61 g/100 g, and 1.90 mg/g, respectively, were obtained under the BS-5 treatment. Soil total nitrogen, available phosphorus, and organic matter content under the BS-4 treatment increased 5.29%, 230.75%, and 1.00%, respectively, compared with those before drip irrigation treatment. The soil available potassium content was highest under the BS-3 treatment and had increased 20.4% compared with that before drip irrigation treatment. The most remarkable influence on the yield and quality of BL was observed when the drip irrigation amount was 24 L. Drip irrigation with 21 L of biogas slurry is conducive to improving soil physical and chemical properties.

Bacterial flagellins are potent inducers of innate immune responses in the mouse lung because they bind to TLR5 expressed on the apical surfaces of airway epithelial cells. TLR engagement leads to the initiation of a signaling cascade that results in a pro-inflammatory response with subsequent up-regulation of several cytokines and leads to adaptive immune responses. We examined the ability of two soluble flagellins, a monomeric flagellin expressed in Escherichia coli and a highly purified polymeric flagellin directly isolated from Salmonella, to enhance the efficacy of influenza vaccines in mice. Here we demonstrate that both flagellins co-administered intranasally with inactivated A/PR/8/34 (PR8) virus induced robust increases of systemic influenza-specific IgA and IgG titers and resulted in a more comprehensive humoral response as indicated by the increase of IgG2a and IgG2b subclass responses. Groups immunized with the adjuvanted vaccines were fully protected against high dose lethal challenge by homologous virus whereas inactivated PR8 alone conferred only partial protection. Finally we show that shortly after immunization the adjuvanted vaccines induced a dramatic increase in pro-inflammatory cytokines in the lung, resulting in extensive lung infiltration by granulocytes and monocytes/macrophages. Our results reveal a promising perspective for the use of both soluble monomeric and polymeric flagellin as mucosal vaccine adjuvants to improve protection against influenza epidemics as well as a range of other infectious diseases.

A superhydrophobic surface with robust structures on a metallic surface could improve its application in various harsh conditions. Herein, we developed a new strategy to fabricate robust micro-/nanoscale hierarchical structures with electrical discharge machining and electrochemical etching on a titanium substrate. After modification by fluorinated silane, the static water contact angle and slide angle of the surface could reach 162 ± 2° and 4 ± 1°, respectively. The superhydrophobic surfaces showed good corrosion resistance and mechanical stability after scratching with sandpapers. In addition, the superhydrophobic surfaces had good self-cleaning performance even in an acidic environment as well as the potential to be used as guiding tracks in droplet microfluidics and lab-on-a-chip systems. These results are expected to be helpful in designing the surface of liquid float gyroscope parts.

Traditional support methods, such as full-frame scaffolding, often pose significant safety risks during the replacement of defective concrete. In contrast, the application of programmable logic controller (PLC) synchronous jacking technology combined with an encircling beam is an innovative approach to concrete replacement. However, there is currently a lack of effective theoretical guidance for determining its design parameters, and there are also few measured data available to verify its effectiveness. To address this issue, this study investigates a concrete structure in which it was discovered, during the topping-out phase, that the compressive strength of several load-bearing columns did not meet the design specifications. Through structural analysis and load calculations, a reinforcement scheme utilizing the synchronous jacking system in conjunction with an encircling beam was proposed to replace the defective concrete. The monitoring of the settlement and deformation during the replacement process revealed a minimal settlement of 0.45 mm, which is approximately 23% of the predefined warning threshold. The results demonstrate that the integration of the synchronous jacking system with an encircling beam offers a safe and reliable solution, thus providing an effective approach to addressing similar challenges in concrete structural reinforcement.

This study explored how top-dressed biogas slurry at winter wheat’s (Triticum aestivum L.) jointing stage (JS) and grain-filling period (GP) affects soil enzyme–microbe interactions, aiming to address nutrient supply–crop demand mismatches. A field experiment with five treatments (water [CK], chemical fertilizer [CF], and three biogas slurry topdressing regimes [S1–S3]) was conducted. Soil samples (0–20 cm) were collected at JS, flowering stage (FS), GP, and reaping period (RP) to analyze soil properties (total nitrogen [TN], available phosphorus [AP], available potassium [AK], soil organic matter [SOM], ammonium nitrogen [AN], pH), enzyme activities (urease [UE], neutral phosphatase [NP], sucrase [SC], catalase [CAT]), and microbial community abundance (via Illumina NovaSeq sequencing). Results showed biogas slurry altered enzyme activities, microbial structure (e.g., Actinomycetota, Ascomycota), and their interactions by regulating soil properties. JS application boosted Pseudomonadota and UE activity, GP application increased Ascomycota and CAT activity, and S3 had the most complex enzyme–microbe network, enhancing nutrient cycling. The analysis indicated that UE activity was strongly and positively correlated with several bacterial phyla (e.g., Planctomycetota, Verrucomicrobiota) (p < 0.01) and fungal phyla (e.g., Ascomycota) (p < 0.01).