Spatial resolved transcriptomics reveals distinct cross-talk between cancer cells and tumor-associated macrophages in intrahepatic cholangiocarcinoma.

BACKGROUND: Multiple studies have shown that tumor-associated macrophages (TAMs) promote cancer initiation and progression. However, the reprogramming of macrophages in the tumor microenvironment (TME) and the cross-talk between TAMs and malignant subclones in intrahepatic cholangiocarcinoma (iCCA) has not been fully characterized, especially in a spatially resolved manner. Deciphering the spatial architecture of variable tissue cellular components in iCCA could contribute to the positional context of gene expression containing information pathological changes and cellular variability. METHODS: Here, we applied spatial transcriptomics (ST) and digital spatial profiler (DSP) technologies with tumor sections from patients with iCCA. RESULTS: The results reveal that spatial inter- and intra-tumor heterogeneities feature iCCA malignancy, and tumor subclones are mainly driven by physical proximity. Tumor cells with TME components shaped the intra-sectional heterogenetic spatial architecture. Macrophages are the most infiltrated TME component in iCCA. The protein trefoil factor 3 (TFF3) secreted by the malignant subclone can induce macrophages to reprogram to a tumor-promoting state, which in turn contributes to an immune-suppressive environment and boosts tumor progression. CONCLUSIONS: In conclusion, our description of the iCCA ecosystem in a spatially resolved manner provides novel insights into the spatial features and the immune suppressive landscapes of TME for iCCA.

[Coupling Mechanisms of Eco-environmental Quality and Human Activities in China and Their Influencing Factors].

In the context of sustainable development, it is important to thoroughly investigate the coupling mechanism between China's eco-environmental quality and human activities, as well as identify the influencing factors, in order to provide scientific references for achieving sustainable development goals in China. This study applied trend analysis, coupling coordination degree, LMDI, and optimal parameter geographic detector models to explore and evaluate the coupling mechanism between China's eco-environmental quality and human activities. The findings of the study were as follows:① During the research period, there was a growth trend in China's coupling coordination degree, human activities, and eco-environmental quality. Human activities and coupling coordination degree exhibited a spatial differentiation pattern with the Hu Line as the boundary, showing an "east high, west low" distribution. The eco-environmental quality demonstrated a "south high, north low" differentiation pattern. ② The overall trend of China's coupling coordination type transformation was shifting from lower-level to higher-level coordination types. ③ Based on the geographic detector and LMDI models, the dominant factors influencing the coupling coordination degree in most provinces east of the Hu Line were social and economic factors, as well as the comprehensive coordination index. In contrast, the dominant factors in most provinces west of the Hu Line were natural environmental factors and coupling degree. ④ The evaluation of the impact of changes in human activities on eco-environmental quality revealed that the regions east of the Hu Line were mainly characterized by favorable development and effective protection, whereas the regions west of the line were mainly characterized by destructive development and ineffective protection. It is suggested that the regions on both sides of the Hu Line should prioritize development based on local prerequisites influencing the coupling coordination degree and the relative relationship between human activities and eco-environmental quality. It is crucial to actively adjust development strategies and pursue a sustainable development path towards the high-level coordination between eco-environmental quality and human activities.

Corporate sustainable development performance through top management team's transactive memory system and organizational resilience: A moderated mediation analysis.

Addressing the measurement of corporate sustainable development performance (SDP) in economic, social, and environmental dimensions is a pressing global challenge. This study investigates the intrinsic impact mechanisms of the top management team's transactive memory system (TMT TMS) on SDP within Chinese manufacturing firms. It extends the analysis by introducing opportunity alertness (OA) as a moderating variable and organizational resilience (OR) as a mediating variable. Notably, OA was found to have a moderating mediation effect on the TMT TMS-OR-SDP pathway. Data from 294 executives was collected through non-probability convenience sampling. Initially, exploratory factor analysis was conducted utilizing SPSS; confirmatory factor analysis was performed with the aid of AMOS. Additionally, hierarchical regression and the SPSS PROCESS macro were employed to test the hypothesized models and paths of influence. The results illuminate the positive impact of TMT TMS on SDP through the enhancement of OR, a relationship further strengthened by OA. This study adds to the theoretical understanding and offers practical insights for optimizing TMT TMS and OA to achieve corporate sustainable development.

Development and Validation of a Nomogram to Predict the Risk of Recurrent Lower Extremity Radiating Pain Within 1 Week Following Full-Endoscopic Lumbar Discectomy.

BACKGROUND: Accurately predicting the risk of lower extremity (LE) radiating pain after surgery is an important endeavor for spinal surgeons. Our study aimed to identify risk factors for LE radiating pain after decompression with full-endoscopic lumbar discectomy (FELD) and develop a nomogram. METHODS: We retrospectively reviewed the medical data of patients with lumbar disc herniation who underwent FELD. Two hundred thirty-five patients diagnosed at our hospital from January 2015 to December 2020 were used for model development. The independent risk factors for LE radiating pain after surgery were determined by least absolute shrinkage and selection operator logistic regression and multivariate logistic regression analysis. A nomogram was developed to predict the risk of LE radiating pain based on independent risk factors. Receiver operating characteristic curve, calibration curve, and decision curve analyses were used to evaluate the predictive performance. The nomogram was further verified by an independent cohort. RESULTS: Three hundred seventy-five patients were enrolled in this study, with 102 patients in the training cohort reporting LE radiating pain after FELD, while 133 patients did not. In the validation cohort, 57 patients reported LE radiating pain after FELD, while 83 patients did not. The model was established by multivariate logistic regression analysis. The risk factors included a higher Michigan State University classification of herniated discs, increased disease course, increased time of surgery, reduced lateral recess width, and an interlaminar surgical approach, compared to transforaminal approach. The C-indices and the area under the receiver operating characteristic curve of the predictive model demonstrated good discrimination. Good predictive performance and accuracy were also observed in the validation cohort. CONCLUSIONS: A novel nomogram for predicting recurrent LE radiating pain within 1 week after FELD was established and validated. More aggressive pain management strategies should be considered for patients at high risk of LE radiating pain after surgery, as predicted by this model.

IL-22-producing CD3 + CD8- T cells increase in immune clearance stage of chronic HBV infection and correlate with the response of Peg-interferon treatment.

Interleukin (IL)-22 regulates host defense. This study investigated the predominant IL-22-producing cell subsets under HBV associated immune stages. We found circulating IL-22-producing CD3 + CD8- T cells were significantly increased in immune active (IA) stage than those in immunotolerant stage, inactive carrier and healthy controls (HCs). The plasma IL-22 level was higher in IA and HBeAg-negative CHB compared to HCs. Importantly, CD3 + CD8- T cells were identified as the predominant source of plasma IL-22 production. Up-regulated IL-22-producing CD3 + CD8- T cells obviously correlated with the grade of intrahepatic inflammation. The proportions of IL-22-producing CD3 + CD8- T cells were significantly down-regulated after 48 weeks of Peg-interferon treatment, and the differences were of great significance in patients with normalize ALT levels at 48 weeks, rather than those with elevated ALT levels. In conclusion, IL-22 might play a proinflammatory function in. chronic HBV infected patients with active inflammation and Peg-interferon treatment could attenuate the degree of liver inflammation through down-regulating IL-22-producing CD3 + CD8- T cells.

Charge Mobility and Strain Engineering in Two-Step MS-Grown MoS2/Seed Layer Heterointerface and Photo-Excitation Mechanism.

Two-dimensional (2D) materials have potential application and wide development prospects in photoelectron and spintronic devices. However, the properties of different growth conditions are challenging to study in the future. This, in turn, hinders further research into 2D materials and the manufacture of high-quality devices. A comprehensive understanding of the ultrafast laser spectroscopy and dynamics that take into account the substrate-transition metal dichalcogenide (TMD) interaction is lacking. Here, the strain effect is elucidated by systematically investigating the interfacial interaction between different substrates and MoS2. The strain and interface engineering of MoS2/seeds layer heterointerface and light-matter coupling are discussed in the Raman and photoluminescence spectra. The dramatic enhanced PL originates from the phase transition of MoS2 on different substrates and electron-hole pairs dissociated by exciton screening effect. Finite-difference time-domain simulation confirmed that the electric field, magnetic field, and polarization field of the heterojunction system changed after the strain was applied. In addition, based on the dependence of physical parameters of MoS2, the relative numerical changes of physical parameters of MoS2 films on different substrates as well as the photoelectric transfer, strain, and charge doping levels on the surface or interface will provide a direction for optimizing the selection of various devices.

Hydrothermal synthesis and controlled growth of group-VIB W metal compound nanostructures from tungsten oxide to tungsten disulphide.

Two-dimensional lateral group-VIB transition metal dichalcogenides (TMDs) have attracted much attention in the fast evolving field of advanced photoelectric functional materials, but their controllable fabrication is challenging. Herein, an emerging synthetic route for sulfurization of tungsten oxide was developed. During the hydrothermal reaction, the optimization of the precursor selection and synthesis parameters led to the tunable properties of WO3-WSxOy-WS2 nanostructures. The vulcanization was thermodynamically favorably at low temperatures and in an environment with a sufficient S source, wherein WO3 was reduced by H atoms to WO3-x, and S atoms were preferentially adsorbed on O vacancies. The WSxOy nanostructures have a narrow band-gap attributed to the effect of S on the valence band top and electronic density of states by density functional theory. The photocurrent response and charge transfer properties of WSxOy were improved due to the charge transport between WS2 and WO3. Understanding the formation and transformation of WS2 nanostructures in solution contributes to the discovery of the important structure-efficiency relationship, which may be extended to other TMDs systems. Hence, extensive research efforts are still needed to develop safer and more efficient synthesis and modification methods to fully utilize the distinctive advantageous properties of TMDs in the photoelectric field.

Optimization of Three-Dimensional Culture Conditions of HepG2 Cells with Response Surface Methodology Based on the VitroGel System.

Objective: This study optimizes three-dimensional (3D) culture conditions of HepG2 using response surface methodology (RSM) based on the VitroGel system to facilitate the cell model in vitro for liver tissues. Method: HepG2 cell was 3D cultured on the VitroGel system. Cell viability was detected using Cell Counting Kit-8 (CCK-8) assay of HepG2 lived cell numbers. The proliferation of HepG2 cell and clustering performance was measured via fluorescence staining test. Albumin concentration in the culture medium supernatant as an index of HepG2 cell biological function was measured with ELISA kit. Independent factor tests were conducted with three key factors: inoculated cell concentration, cultured time, and dilution degree of the hydrogel. The preliminary results of independent factor tests were used to determine the levels of factors for RSM. Result: The selected optimal culture conditions are as follows: concentration of inoculated cells was 4.44 × 10 5/mL, culture time was 4.86 days, and hydrogel dilution degree was 1:2.23. The result shows that under optimal conditions, the predicted optical density (OD) value of cell viability was 3.10 and measured 2.978 with a relative error of 3.94%. Conclusion: This study serves as a reference for the 3D HepG2 culture and constructs liver tissues in vitro. Additionally, it provides the foundation for repeated dose high-throughput toxicity studies and other scientific research work.

Application of machine-learning-based global optimization: potential-dependent co-electrosorbed structure and activity on the Pd(110) surface.

Electrodes can adsorb different reaction intermediates under electrochemical conditions, which in turn significantly affect their electrochemical performance. This complex phenomenon attracts continuous interest in both science and industry for understanding the co-electrosorbed structure and activity under electrochemical conditions. Here, we report the first theoretical attempt by combining the machine-learning-based global optimization (SSW-NN method) and modified Poisson-Boltzmann continuum solvation (CM-MPB) based on first-principles calculations to elucidate the potential-dependent co-electrosorbed species on the Pd(110) surface. We reveal the potential-dependence adsorption/absorption hydrogen phases, the phase transition of α-Hri/Pd to ß-Hri/Pd, and the co-electrosorbed Hri-NHy surface structures. In particular, we found that Hri-NH2 and Hri-NH3 are favorable intermediates for the N2 reduction reaction, and the subsurface H is the key species responsible for NH2 hydrogenation on the Pd(110) electrode.