The Up-Regulated Expression of Mitochondrial Membrane Molecule RHOT1 in Gastric Cancer Predicts the Prognosis of Patients and Promotes the Malignant Biological Behavior of Cells.

Gastric cancer (GC) remains a major disease of high morbidity and mortality worldwide despite advances in diagnosis and treatment. Ras homolog family member T1 (RHOT1) plays an important role in several cancers. Our study aimed to analyze RHOT1 expression, to assess the relationship between its expression and the prognosis of patients, and know the impact of RHOT1 on GC cells. The Cancer Genome Atlas (TCGA) RNA-seq data was used for gene expression analysis, survival and prognostic analysis. Nomograms were created to analyze the pathological factors of GC patients. RHOT1 expression was up-regulated by analyzed TCGA-Stomach adenocarcinoma (STAD) data and verified by Polymerase Chain Reaction (PCR) assay in GC tissues and cell lines. Furthermore, RHOT1 up-regulation was significantly associated with shorter survival of GC patients. At last, after silencing the expression of RHOT1 in AGS cell lines, we found that the proliferative ability of the cells was significantly reduced, the cell invasion ability was significantly inhibited, the cell migration ability was also significantly weakened, the cell cycle was arrested in the G0/G1 phase, and apoptosis was significantly increased. So RHOT1 could impact the apoptosis, proliferation, invasion, and migration behavior of GC cells. We trust RHOT1 has the potential to become a new oncogene biomarker for diagnosis and prognosis as well as a new therapeutic target in GC.

High-spatial resolution ground-level ozone in Yunnan, China: A spatiotemporal estimation based on comparative analyses of machine learning models.

Monitoring ground-level ozone concentrations is a critical aspect of atmospheric environmental studies. Given the existing limitations of satellite data products, especially the lack of ground-level ozone characterization, and the discontinuity of ground observations, there is a pressing need for high-precision models to simulate ground-level ozone to assess surface ozone pollution. In this study, we have compared several widely utilized ensemble learning and deep learning methods for ground-level ozone simulation. Furthermore, we have thoroughly contrasted the temporal and spatial generalization performances of the ensemble learning and deep learning models. The 3-Dimensional Convolutional Neural Network (3-D CNN) model has emerged as the optimal choice for evaluating the daily maximum 8-h average ozone in Yunnan Province. The model has good performance: a spatial resolution of 0.05° × 0.05° and strong predictive power, as indicated by a Coefficient of Determination (R2) of 0.83 and a Root Mean Square Error (RMSE) of 12.54 µg/m³ in sample-based 5-fold cross-validation (CV). In the final stage of our study, we applied the 3-D CNN model to generate a comprehensive daily maximum 8-h average ozone dataset for Yunnan Province for the year 2021. This application has furnished us with a crucial high-resolution and highly accurate dataset for further in-depth studies on the issue of ozone pollution in Yunnan Province.

Insensitivity of oncogenic EGFR R776L mutation to EGFR inhibitors in lung cancer.

Non-small cell lung cancers (NSCLC) account for 85 % of total lung cancers. Mutation in EGFRdrives the progress of NSCLSs with high mortality rate. Besides the common mutations in EGFR, which together comprise of 85 % of all EGFR mutations and respond to the targeted therapy of EGFR tyrosine kinase inhibitors (TKIs), many other low-frequency mutations of EGFR are existed in patients. The oncogenic roles and sensitivity of these mutations to EGFR TKIs are not fully understood yet. Here we described two cases of lung adenocarcinoma patients harboring EGFR R776L missense mutation, showed PD and SD after treatment with third-generation EGFR inhibitor, Almonertinib. Chemotherapy afterward showed PR effect in one patient with PSF of 10 months. We also explored the oncogenic feature of single R776L mutation by Ba/F3 isogenic cells and found that, EGFR R776L mutation activates EGFR-related survival signaling pathway in Ba/F3 cells, and they are insensitive to gefitinib, afatinib, and Almonertinib, which consistent with our clinical observation.

Chronic exposure to polytetrafluoroethylene microplastics caused sex-specific effects in the model insect, Drosophila melanogaster (Diptera: Drosophilidae).

Microplastics (MPs) have become a prominent environmental concern due to their ubiquity in various ecosystems and widespread distribution through multiple channels. In this study, the oral effects of 2,000 mesh polytetrafluoroethylene (PTFE) microplastics were tested against Drosophila melanogaster (Meigen), at concentrations of 0, 0.1, 1, 10, and 20. After exposure to a microplastic-containing medium for 20 days, energy metabolism, fecundity, spontaneous movement, and sleeping time were measured. The study results showed that glucose levels in male flies were significantly reduced after exposure to PTFE-MPs. Measurement of lipid and protein levels indicated an increase in males but decrease in females, whereas these changes were not statistically significant. Reduction in sleep time was also observed, especially in males at the concentration of 20 g/l. Our study indicates that chronic exposure of PTFE-MPs can change energy metabolism and the amount of sleep on D. melanogaster in a sex dependent and dose dependent way. The results of our study are hoped to contribute to a better understanding of the effects of microplastics as new pollutants on insects.

CdO decorated CdS nanorod for enhanced photocatalytic reduction of CO2 to CO.

Solar-driven CO2 reduction into fuels and sustainable energy has attracted increasing attention around the world. However, the photoreduction efficiency remains low due to the low efficiency of separation of electron-hole pairs and high thermal stability of CO2. In this work, we prepared a CdO decorated CdS nanorod for visible light driven CO2 reduction. The introduction of CdO facilitates the photoinduced charge carrier separation and transfer and acts as an active site for adsorption and activation of CO2 molecules. Compared with pristine CdS, CdO/CdS exhibits a nearly 5-fold higher CO generation rate (1.26 mmol g-1 h-1). In situ FT-IR experiments indicated that CO2 reduction on CdO/CdS may follow a COOH* pathway. This study reports the pivotal effect of CdO on photogenerated carrier transfer in photocatalysis and on CO2 adsorption, which provides a facile way to enhance photocatalytic efficiency.

A prognostic model for predicting progression-free survival in patients with advanced non-small cell lung cancer after image-guided microwave ablation plus chemotherapy.

OBJECTIVES: This study aimed to build and validate a prediction model that can predict progression-free survival (PFS) in patients with advanced non-small cell lung cancer (NSCLC) after image-guided microwave ablation (MWA) plus chemotherapy. METHODS: Data from a previous multi-center randomized controlled trial (RCT) was used and assigned to either the training data set or the external validation data set according to the location of the centers. Potential prognostic factors were identified by multivariable analysis in the training data set and used to construct a nomogram. After bootstraps internal and external validation, the predictive performance was evaluated by concordance index (C-index), Brier Score, and calibration curves. Risk group stratification was conducted using the score calculated by the nomogram. Then a simplified scoring system was built to make risk group stratification more convenient. RESULTS: In total, 148 patients (training data set: n = 112; external validation data set: n = 36) were enrolled for analysis. Six potential predictors were identified and entered into the nomogram, including weight loss, histology, clinical TNM stage, clinical N category, tumor location, and tumor size. The C-indexes were 0.77 (95% CI, 0.65-0.88, internal validation) and 0.64 (95% CI, 0.43-0.85, external validation). The survival curves of different risk groups also displayed significant distinction (p < 0.0001). CONCLUSIONS: We found weight loss, histology, clinical TNM stage, clinical N category, tumor location, and tumor size were prognostic factors of progression after receiving MWA plus chemotherapy and constructed a prediction model that can predict PFS. CLINICAL RELEVANCE STATEMENT: The nomogram and scoring system will assist physicians to predict the individualized PFS of their patients and decide whether to perform or terminate MWA and chemotherapy according to the expected benefits. KEY POINTS: • Build and validate a prognostic model using the data from a previous randomized controlled trial to predict progression-free survival after receiving MWA plus chemotherapy. • Weight loss, histology, clinical TNM stage, clinical N category, tumor location, and tumor size were prognostic factors. • The nomogram and scoring system published by the prediction model can be used to assist physicians to make clinical decisions.

Chloride Adsorbates Enhance the Photocarrier Separation and Promote the Bio-Syngas Evolution.

Photocarrier separation and migration to the surface are vital for photocatalysis. However, the mobility of the surface holes and electrons makes them easily recombine before participating in the surface reaction, which constrains the photocatalytic efficiency. Targeting this problem, herein, it is reported that chloride adsorbates enhance the photocarrier separation and promote the bio-syngas evolution. Chloride, adsorbed on the surface of CdS (CdS-Cl), can increase the internal electric field and enhance the charge separation and migration to the surface. Moreover, compared with pristine CdS where holes are mobile and distributed on all the surface atoms, CdSCl can reduce the hole mobility via delocalization on specific sites and thus prolong the photocarrier lifetime. This contributes to an 11-fold enhanced photocatalytic syngas evolution from glycerol. This study reports the pivotal effect of surface adsorbates on photocarrier separation and offers a convenient strategy to prohibit surface holes and electrons recombination for solar energy utilization.Chloride absorbates on CdS contribute to enhanced photocatalytic syngas evolution from glycerol by increasing the internal electric field.

Facet-Dependent Electron Transfer Regulates Photocatalytic Valorization of Biopolyols.

The electron transfer (ET) from the conduction band of the semiconductor to surface-bound species is a key step in the photocatalytic reaction and strongly affects the reactivity and selectivity, while the effect of catalyst surface structure on this process has rarely been explored due to the lack of an effective method. Herein, we have developed a strategy to detect and measure surface electrons' transfer energy to the adsorbates and disclosed a facet-dependent electron transfer energy over anatase TiO2. The photogenerated electrons are shallowly confined in the five-coordinated Ti atom (Ti5c) on the surface of the (101) facet with a transfer energy below 1.0 eV, while deeply confined in the six-coordinated Ti atom (Ti6c) on the subsurface of the (001) facet with a transfer energy higher than 1.9 eV. The different electron trap states strongly affect the ET process, thus regulating the photocatalytic activity. Taking formic acid (FA) dehydration as the probe reaction, a shallow trap of photoexcited electrons on the (101) facet of anatase TiO2 favors the dehydration of FA to CO, while a deep trap of photoexcited electrons on the (001) facet makes FA stable. Based on this knowledge, we successfully controlled the selectivity in the photocatalytic oxidation of biopolyols via selectively exposing the facet of TiO2. Through controlling the (001)/(101) facet, a wide range of biopolyols can be selectively converted into FA or CO with a selectivity of up to 80%. The present work disclosed a facet-dependent electron transfer process and provides a new horizon to the design of photocatalytic systems.

Photoelectrocatalytic Reforming of Polyol-based Biomass into CO and H2 over Nitrogen-doped WO3 with Built-in Electric Fields.

CO and H2 evolution from renewable and abundant biomass represent a sustainable way, but is challenged to be produced under mild conditions. Herein, we propose to produce CO and H2 from biomass via a divided photoelectrochemical (PEC) cell at room temperature. Nitrogen doped tungsten trioxide (N-WO3 ) photoanode reforms biopolyols to CO and H+ , and platinum cathode reduces H+ to H2 , achieving CO evolution rate of 45 mmol m-2 h-1 (>75 % gas selectivity) and H2 evolution rate of 237 mmol m-2 h-1 with purity >99.99 % from glycerol. The nitrogen doping induces structure polarity of WO3 photoanode, leading to the formation of an internal electric field which promotes the separation and transfer of the photoinduced charges and improves PEC efficiency. A wide range of biopolyols, such as ethylene glycol, xylose, fructose, glucose, sucrose, lactose, maltose, and inulin were effectively converted into CO and H2 . This work provides a promising method to produce highly pure H2 together with CO from biomass.

Sulfidation of nickel foam with enhanced electrocatalytic oxidation of 5-hydroxymethylfurfural to 2,5-furandicarboxylic acid.

Electrochemical oxidation of biomass-derived 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid (FDCA) is an intriguing way of biomass conversion. Herein, a sulfidation of nickel foam (Ni2S3/NF) was attempted via a hydrothermal method, achieving high selectivity and efficiency for HMF oxidation. The optimized Ni2S3/NF electrode exhibits a nearly 100% conversion of HMF, 98% yield of FDCA, and 94% high faradaic efficiency. This material is stable and retains activity after 6 consecutive measurements. This work provides a facile route to design and prepare electrocatalysts for biomass upgrading.

Interface Electronic Coupling in Hierarchical FeLDH(FeCo)/Co(OH)2 Arrays for Efficient Electrocatalytic Oxygen Evolution.

The oxygen evolution reaction (OER) with sluggish kinetics is the key half-cell reaction for several sustainable energy systems, such as electrochemical water splitting, fuel cells, and rechargeable metal-air batteries. Two-dimensional transition-metal hydroxides have good prospects for the OER. Herein, 2D hierarchical FeLDH(FeCo)/Co(OH)2 (LDH=layered double hydroxide) arrays were fabricated by growing 2D-ZIF-67 (ZIF=zeolitic imidazolate framework) on carbon cloth, transformation of 2D-ZIF-67 into Co(OH)2 , and electrodeposition of FeLDH(FeCo) on Co(OH)2 at ambient temperature. The optimized hierarchical catalyst exhibits high OER activity that requires a small overpotential of only 242 mV to drive 10 mA cm-2 (279 mV for 100 mA cm-2 ) and prolonged durability for 100 h at 20 mA cm-2 in 1 m KOH. The FeLDH(FeCo)/Co(OH)2 interfaces are observed to be the electrocatalytically active centers for the OER. The interfaces contribute to accelerating the OER kinetics owing to fast transfer of intermediate oxygen species. Furthermore, the FeCo alloy promotes electron transfer among the newly formed interfaces related to CoOOH in the OER process, which leads to improved durability. This work gives insight into the design and synthesis of hierarchical bimetallic hydroxide arrays with high OER activity and durability, as well as understanding of the origin of the OER promotion by metals and metal hydroxides.