High-Performance enrichment and sensitive analysis of bisphenol and its analogues in water and milk using a novel Ni-Based cationic Metal-Organic framework.

A novel cationic metal-organic framework (iMOF-Ni) was designed and synthesized by a solvothermal method. It was fabricated as a solid-phase extraction (SPE) cartridge and exhibited high adsorption performance for Bisphenols (BPs). The theoretical simulation demonstrated that the adsorption mechanism between iMOF-Ni and BPs was attributed to cation-π bonding, π-π interaction, and electrostatic interactions. Under optimized SPE, a method for analyzing BPs was established by combining high-performance liquid chromatography-diode array detection (HPLC-DAD). The developed method has good linearity (R2 ≥ 0.994), low detection limits (0.07-0.16 ng/mL), and good reproducibility (1.72-6.35 %, n = 6). The applicability of the method was further evaluated by analyzing water and milk samples. Recoveries of four BPs in spiked samples were from 72.2 % to 96.6 %.

Non-Invasive Self-Adaptive Information States' Acquisition inside Dynamic Scattering Spaces.

Pushing the information states' acquisition efficiency has been a long-held goal to reach the measurement precision limit inside scattering spaces. Recent studies have indicated that maximal information states can be attained through engineered modes; however, partial intrusion is generally required. While non-invasive designs have been substantially explored across diverse physical scenarios, the non-invasive acquisition of information states inside dynamic scattering spaces remains challenging due to the intractable non-unique mapping problem, particularly in the context of multi-target scenarios. Here, we establish the feasibility of non-invasive information states' acquisition experimentally for the first time by introducing a tandem-generated adversarial network framework inside dynamic scattering spaces. To illustrate the framework's efficacy, we demonstrate that efficient information states' acquisition for multi-target scenarios can achieve the Fisher information limit solely through the utilization of the external scattering matrix of the system. Our work provides insightful perspectives for precise measurements inside dynamic complex systems.

Non-invasive anticipation of infusion taste in fine-manipulated green teas through hyperspectral appearance analysis guided by ECG content.

The high catechin content in summer-to-autumn tea leaves often results in strong, unpleasant tastes, leading to significant resource waste and economic losses due to lignification of unpicked leaves. This study aims to improve the taste quality of summer-to-autumn green teas by combining fine manipulation techniques with hyperspectral observation. Fine manipulation notably enhanced infusion taste quality, particularly in astringency and its aftertaste (aftertasteA). Using Partial Least Squares Discriminant Analysis (PLSDA) on hyperspectral data, 100% prediction accuracy was achieved for dry tea appearance in the near-infrared spectrum. Astringency and aftertasteA correlated with hyperspectral data, allowing precise estimation with over 90% accuracy in both visible and near-infrared spectrums. Epicatechin gallate (ECG) emerged as a key taste compound, enabling non-invasive taste prediction. Practical applications in processing and quality control are demonstrated by the derived equations (Astringency = -0.88 × ECG + 45.401, AftertasteA = -0.353 × ECG + 18.609), highlighting ECG's role in shaping green tea taste profiles.

Gene Co-expression Network and Regression Analysis Identify the Transcriptomic, Physiological, and Biochemical Indicators of the Response of Alpine Woody Plant Rhododendron rex to Drought Stress.

Increasing severity of drought stress due to global change and extreme weather has been affecting the biodiversity, function, and stability of forest ecosystems. However, despite being an important component in the alpine and subalpine vegetation in forest ecosystems, Rhododendron species have been paid rare attention in the study of molecular mechanism of tolerance or response to drought. Herein, we investigated the correlation of transcriptomic changes with the physiological and biochemical indicators of Rhododendron rex under drought stress by using the co-expression network approach and regression analysis. Compared with the control treatment, the number of significantly differentially expressed unigenes (DEGs) increased with the degree of drought stress. The DEGs were mainly enriched in the cell wall metabolic process, signaling pathways, sugar metabolism, and nitrogen metabolism. Coupled analysis of the transcriptome, physiological, and biochemical parameters indicated that the metabolic pathways were highly correlated with the physiological and biochemical indicators under drought stress, especially the chlorophyll fluorescence parameters, such as the actual photosynthetic efficiency of photosystem II, electron transport rate, photochemical quenching coefficient, and the maximum quantum efficiency of photosystem II photochemistry. The majority of the response genes related to the metabolic pathways, including photosynthesis, sugar metabolism, and phytohormone signal pathway, were highly expressed under drought stress. In addition, genes associated with cell wall, pectin, and galacturonan metabolism also played crucial roles in the response of R. rex to drought stress. The results provided novel insight into the molecular response of the alpine woody species under drought stress and may improve the understanding of the response of forest ecosystems to the global climate change.

Genome-wide CRISPR/Cas9 library screen identifies PCMT1 as a critical driver of ovarian cancer metastasis.

BACKGROUND: The development of lethal cancer metastasis depends on the dynamic interactions between cancer cells and the tumor microenvironment, both of which are embedded in the extracellular matrix (ECM). The acquisition of resistance to detachment-induced apoptosis, also known as anoikis, is a critical step in the metastatic cascade. Thus, a more in-depth and systematic analysis is needed to identify the key drivers of anoikis resistance. METHODS: Genome-wide CRISPR/Cas9 knockout screen was used to identify critical drivers of anoikis resistance using SKOV3 cell line and found protein-L-isoaspartate (D-aspartate) O-methyltransferase (PCMT1) as a candidate. Quantitative real-time PCR (qRT-PCR) and immune-histochemistry (IHC) were used to measure differentially expressed PCMT1 in primary tissues and metastatic cancer tissues. PCMT1 knockdown/knockout and overexpression were performed to investigate the functional role of PCMT1 in vitro and in vivo. The expression and regulation of PCMT1 and integrin-FAK-Src pathway were evaluated using immunoprecipitation followed by mass spectrometry (IP-MS), western blot analysis and live cell imaging. RESULTS: We found that PCMT1 enhanced cell migration, adhesion, and spheroid formation in vitro. Interestingly, PCMT1 was released from ovarian cancer cells, and interacted with the ECM protein LAMB3, which binds to integrin and activates FAK-Src signaling to promote cancer progression. Strikingly, treatment with an antibody against extracellular PCMT1 effectively reduced ovarian cancer cell invasion and adhesion. Our in vivo results indicated that overexpression of PCMT1 led to increased ascites formation and distant metastasis, whereas knockout of PCMT1 had the opposite effect. Importantly, PCMT1 was highly expressed in late-stage metastatic tumors compared to early-stage primary tumors. CONCLUSIONS: Through systematically identifying the drivers of anoikis resistance, we uncovered the contribution of PCMT1 to focal adhesion (FA) dynamics as well as cancer metastasis. Our study suggested that PCMT1 has the potential to be a therapeutic target in metastatic ovarian cancer.

Hypoxia-induced myeloid derived growth factor promotes hepatocellular carcinoma progression through remodeling tumor microenvironment.

Purpose: Exploring and studying the novel target of hepatocellular carcinoma (HCC) has been extremely important for its treatment. The principal objective of this project is to investigate whether myeloid derived growth factor (MYDGF) could accelerate the progression of HCC, and how it works. Methods: Cell proliferation, clonal formation, sphere formation and xenograft tumor experiments were used to prove the critical role of MYDGF in HCC progression. Tumor angiogenesis, immune cell infiltration, macrophage chemotaxis and inflammatory cytokines detection were utilized to clarify how MYDGF remodeled the tumor microenvironment (TME) to accelerate the progress of HCC. Results: Here, we reported a secretory protein MYDGF, which could be induced by hypoxia, was significantly upregulated in HCC and associated with poor clinical outcomes. Using bioinformatics and experimental approaches, we found that MYDGF promotes cell proliferation in vitro and in vivo through a mechanism that might involve enhanced self-renewal of liver CSCs. Furthermore, MYDGF can also promote tumor angiogenesis, induce macrophages to chemotaxis into tumor tissue, and then release various inflammatory cytokines, including IL-6 and TNF-α, which ultimately aggravate inflammation of tumor microenvironment and accelerate HCC progression. Conclusions: We provided evidence that MYDGF could directly affect the self-renewal of liver CSCs, and indirectly aggravate the inflammatory microenvironment to accelerate the progression of HCC.

Multiphysics Coupling Simulation and Parameter Study of Planar Solid Oxide Fuel Cell.

In this paper, a numerical model of gas flow, heat transfer, mass transfer and electrochemical reaction multi-physics field coupling of a planar SOFC is established and solved. According to the calculation results, the distribution of velocity, temperature and concentration inside the SOFC cell is analyzed. The influence of cathode inlet flow rate, porosity, rib width and other parameters on the performance of SOFC is also discussed. The results show that within a certain range, increasing the cathode inlet flow rate can significantly increase the average current density of the cell. Increasing the porosity of the electrode can improve the gas diffusion of the porous electrode, thereby increasing the rate of the electrochemical reaction. Increasing the width of the ribs will result in a significant decrease in cell performance. Therefore, the rib width should be reduced as much as possible within the allowable range to optimize the working performance of the cell.

Polybrominated diphenyl ethers, decabromodiphenyl ethane and dechlorane plus in aquatic products from the Yellow River Delta, China.

Aquatic biota including fish, shrimp and bivalves were collected from the Yellow River Delta (YRD), China to investigate the levels, composition profile and dietary exposure of polybrominated diphenyl ethers (PBDEs), decabromodiphenyl ethane (DBDPE) and dechlorane plus (DP). The concentrations of PBDEs, DBDPE and DP in the organisms ranged from 5.3 to 149, not detected (nd) - 49, and 0.5-29 ng/g lipid weight, respectively. Higher levels of PBDEs and DP were found in mullet (Liza haematocheila).PBDEs were the major pollutants and BDE 209 was the predominant congener of PBDEs suggesting the great production and application of deca-BDE in YRD. The average fanti values for different species were similar to or a little lower than that of the commercial DP, suggesting syn-DP might be selectively accumulated by the organisms. The estimated daily intake values of HFRs suggested consuming fish was the main pathway for the exposure of halogenated flame retardants.

Adenovirus-mediated specific tumor tagging facilitates CAR-T therapy against antigen-mismatched solid tumors.

Chimeric antigen receptor T (CAR-T) therapy faces at least two major obstacles in solid tumors, including to find specific antigen among the heterogeneous tumor mass and to overcome the inhibitory microenvironment. Developing novel strategies to overcome these difficulties has been the burning issue in immunotherapy. Here we came up with the concept of tagging cancer cells by tumor-targeting adenoviruses (Ad). We constructed recombinant Ads expressing CD19 tag driven by tumor-specific promoters, which could label antigenically different tumors for single anti-CD19 CAR-T recognition. One Ad, namely AdC68-TMC-tCD19 could mediate universal tag expression and functional immunological synapse formation between CAR-T and cancer cells. In premixed mice model, all tagged mice survived after CAR-T infusion and tumor volume were inhibited by 91.78%. Furthermore, we combined the tumor tagging ability with oncolysis and generated the replicative AdC68-Sur-E1A-TMC-tCD19. Oncolytic tagging system could diminish established tumors in vivo and prolong mice survival significantly. Therefore, we suggest the universal oncolytic Ad-tagging system in combination with single target CAR-T cells could be a powerful complement in immunotherapy against antigenically mismatched solid tumors.

Combined treatment with sorafenib and silibinin synergistically targets both HCC cells and cancer stem cells by enhanced inhibition of the phosphorylation of STAT3/ERK/AKT.

Silibinin, a nontoxic bioactive component in milk thistle, is used as a liver-protective drug in the clinic mainly because of its antioxidant and anti-inflammation activities. In this study, we studied the cytotoxic effects of silibinin combined with sorafenib on hepatocellular carcinoma (HCC). The results indicated that silibinin combined with sorafenib potently inhibited the proliferation of various HCC cells and induced significant apoptosis. In an HCC subcutaneous transplantation tumor model, the combination of silibinin and sorafenib significantly suppressed tumor growth compared with monotherapy. As determined by fluorescence staining and Western blots, the combination of the two drugs inhibited the phosphorylation of RAC-alpha serine/threonine-protein kinase (AKT) and signal transducer and activator of transcription 3 (STAT3) together with the expression of antiapoptotic proteins including myeloid leukemia cell differentiation protein Mcl-1 (Mcl-1) and apoptosis regulator Bcl-2 (Bcl-2), resulting in the death of cancer cells. We also found that the combination inhibited the formation and self-renewal of HCC stem cells by down-regulating the expression of stemness-related proteins, such as Homeobox protein NANOG (Nanog) and Krueppel-like factor 4 (Klf4). These results suggested that silibinin improved the efficacy of sorafenib in HCC therapy, indicating a clinical promising therapeutic strategy for HCC patients.