Multiomics profiling reveals that P. gingivalis-induced extracellular vesicle reprogramming promotes immune evasion in colorectal cancer through autophagy-mediated STING degradation

ObjectivePorphyromonas gingivalis (P. gingivalis) infection is a recognized pathogenic factor in colorectal cancer (CRC), and extracellular vesicles (EVs) are key mediators within the tumor microenvironment. However, the molecular composition of large extracellular vesicles (lEVs) derived from P. gingivalis-infected cancer cells remains poorly characterized. This study aimed to comprehensively define the molecular cargo alterations in lEVs secreted by CRC cells in response to P. gingivalis infection.MethodsAn integrated multiomics approach was employed to analyze lEVs secreted by P. gingivalis-infected HCT116 colorectal cancer cells. miRNA sequencing and quantitative proteomics were used to profile miRNA and protein expression, respectively. Bioinformatic analyses identified differentially expressed molecules. Mechanistic studies involving immunoblotting and autophagy inhibition were conducted to validate and explore key findings.ResultsP. gingivalis infection induced significant cargo remodeling in HCT116-derived lEVs. miRNA sequencing identified 223 miRNAs, among which 28 were differentially expressed. Notably, six novel miRNAs were specifically upregulated in lEVs from infected cells. Quantitative proteomics revealed 1,210 significantly altered proteins. Strikingly, 981 proteins were downregulated, including the critical antitumor immune regulator STING (stimulator of interferon genes). STING downregulation in infected HCT116 cells was confirmed, and P. gingivalis infection was shown to promote STING degradation via autophagy, explaining its reduced incorporation into lEVs.ConclusionThis integrated multiomics analysis demonstrates that P. gingivalis infection profoundly remodels the molecular landscape of CRC cell-derived lEVs. The specific depletion of immune-stimulating factors, most notably STING, within lEVs suggests a novel mechanism by which this pathobiont may contribute to immune evasion and promote tumor progression in P. gingivalis-associated colorectal cancer

The optimization of pre-slug size in CO

In order to enhance oil recovery in low and ultra-low permeability layer, both of the numerical simulation and physical model experiment have been researched. First, the dynamic distribution of CO1 and N1 in the oil and gas phase in the CO2-N2 compound flooding process was numerically simulated by using the long slim-tube model. The results show that the CO2 slug should have at least 0.3 PV to prevent the impact of N2 channeling effectively. Second, under the experimental conditions of complete miscibility of CO2-crude oil, the two types of natural cores including low and ultra-low permeability, respectively, are used for experimental study on oil displacement. The results confirm that CO2-N2 compound flooding with 0.3 PV CO2 pre-slug can achieve a good result. Finally, a five-point well pattern element model is established by CMG. The recovery and the gas cost of per ton of oil are calculated respectively for CO2-N2 compound flooding and full CO2 flooding at 300 m well spacing of low and ultra-low permeability layer. According to the simulation results, the optimal CO2 pre-slug size in CO2-N2 compound flooding under the condition of low and ultra-low permeability layer five-point well pattern is 0.4 PV

Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas

Based on the results of an extensive literature research, we summarize the research progress of remote sensing monitoring in terms of identifying mining area boundaries and monitoring land use or land cover changes of mining areas. We also analyze the application of remote sensing in monitoring the biodiversity, landscape structure, vegetation change, soil environment, surface runoff conditions, and the atmospheric environment in mining areas and predict the prospects of remote sensing in monitoring the ecological environment in mining areas. Based on the results, the accurate classification of land use or land cover and the accurate extraction of environmental factors are the basis for remote sensing monitoring of the ecological environment in mining areas. In terms of the extraction of ecological factors, vegetation extraction is relatively advanced in contrast to the extraction of animal and microbial data. For the monitoring of environmental conditions of mining areas, sophisticated methods are available to identify pollution levels of vegetation and to accurately monitor soil quality. However, the methods for water and air pollution monitoring in mining areas still need to be improved. These limitations considerably impede the application of remote sensing monitoring in mining areas. The solving of these problems depends on the progress of multi-source remote sensing data and stereoscopic monitoring techniques.</jats:p

Ultrasound-Assisted Enzymatic Extraction of Polysaccharides from <i>Tricholoma matsutake</i>: Optimization, Structural Characterization, and Inhibition of α-Synuclein Aggregation

This study optimized ultrasound-assisted enzymatic (UAE) extraction of TMP (Tricholoma matsutake polysaccharide) through response surface methodology. The optimal conditions included complex enzyme comprising 1.15% cellulase, 0.60% pectinase, and 0.95% dispase, with ultrasound for 24 min at 84.5 °C and enzyme hydrolysis at pH 5.0. This process yielded 19.74 ± 0.51% TMP, exceeding traditional hot water extraction by over four times. Fourier transform infrared spectroscopy (FT–IR) confirmed that UAE did not alter the structure of TMP. In vitro experiments indicated that TMP-UAE demonstrated enhanced antioxidant properties. Further purification through DEAE-52 and Sephadex G-100 chromatography resulted in a homogenous polysaccharide fraction (TMP). Characterization indicated that TMP has an average molecular weight of 2.79 × 104 Da, composed of fucose, galactose, glucose and mannose in a 2.00:9.44:86.29:2.28 molar ratio. FT–IR indicated the presence of C-O-C glycosidic bonds and pyranyl-type sugar rings. Scanning electron microscopy displayed loose lamellar structures with small pores. Finally, TMP exhibited therapeutic potential against C. elegans in Parkinson’s disease, including reducing α-synuclein aggregation, protecting dopaminergic neurons, and prolonging lifespan. This study provides an efficient extraction method for TMP and an insight into its neuroprotective effect in PD C.elegans.</i

The optimization of pre-slug size in CO₂-N₂ compound flooding

In order to enhance oil recovery in low and ultra-low permeability layer, both of the numerical simulation and physical model experiment have been researched. First, the dynamic distribution of CO1 and N1 in the oil and gas phase in the CO2-N2 compound flooding process was numerically simulated by using the long slim-tube model. The results show that the CO2 slug should have at least 0.3 PV to prevent the impact of N2 channeling effectively. Second, under the experimental conditions of complete miscibility of CO2-crude oil, the two types of natural cores including low and ultra-low permeability, respectively, are used for experimental study on oil displacement. The results confirm that CO2-N2 compound flooding with 0.3 PV CO2 pre-slug can achieve a good result. Finally, a five-point well pattern element model is established by CMG. The recovery and the gas cost of per ton of oil are calculated respectively for CO2-N2 compound flooding and full CO2 flooding at 300 m well spacing of low and ultra-low permeability layer. According to the simulation results, the optimal CO2 pre-slug size in CO2-N2 compound flooding under the condition of low and ultra-low permeability layer five-point well pattern is 0.4 PV.</jats:p