Clinical effect of astragaloside IV on breast carcinoma cells based on MDR1: A randomised trial

Purpose: To study the clinical effect of astragaloside IV on breast carcinoma cells (BCCs), and its potential mechanisms with respect to multiple drug resistance-1 (MDR1)Methods: The cytotoxicity of astragaloside IV to BCCs was determined using CCK-8 test, and values of its half inhibitory concentration (IC50) were determined. Transwell assay and flow cytometry were performed to determine the effect of astragaloside (13 μg/mL) on cell invasion and apoptosis. The contents of MDR1 mRNA in BC tissues and cells were determined using real-time quantitative polymerase chain reaction (qRT-PCR), while the protein expression levels of MDR1 in BC cells were determined using western blot assay.Results: The IC50 of astragaloside IV for MCF-7 and MDA-MB-231 BCCs were 12.57 μg/mL and 13.91 μg/mL, respectively. Transwell experiment showed significantly inhibited invasive capacity and enhanced apoptotic potential of the BCCs after astragaloside IV intervention. However, invasive capacities of the BCCs were markedly enhanced, while their apoptotic capacities were inhibited after transfection with si-MDR1, when compared with controls (p < 0.05). Results of qRT-PCR revealed that the mRNA content of MDR1 in BC tissues and cells (0.42±0.11) was significantly lower than that in normal tissues (0.95±0.18; p < 0.05). Results from western blot assay revealed that the relative expression levels of MDR1 protein were decreased, with values of 0.21±0.05, 0.32±0.07 and 0.74±0.15 for MCF-10A, MCF-7, MAD-MB-231 and MCF-10A, respectively (p < 0.05).Conclusion: Astragaloside IV regulates the metastasis and apoptosis of BCCs through regulation of MDR1. It also inhibits cell invasion but enhances the apoptosis of BC cells transfected with si-MDR1. These results highlight the prospects of the compound for the treatment of BC

ABSNFT: Securitization and Repurchase Scheme for Non-Fungible Tokens Based on Game Theoretical Analysis

The Non-Fungible Token (NFT) is viewed as one of the important applications of blockchain technology. Although NFT has a large market scale and multiple practical standards, several limitations of the existing mechanism in NFT markets exist. This work proposes a novel securitization and repurchase scheme for NFT to overcome these limitations. We first provide an Asset-Backed Securities (ABS) solution to settle the limitations of non-fungibility of NFT. Our securitization design aims to enhance the liquidity of NFTs and enable Oracles and Automatic Market Makers (AMMs) for NFTs. Then we propose a novel repurchase protocol for a participant owing a portion of NFT to repurchase other shares to obtain the complete ownership. As participants may strategically bid during the acquisition process, our repurchase process is formulated as a Stackelberg game to explore the equilibrium prices. We also provide solutions to handle difficulties at market such as budget constraints and lazy bidders.Comment: To appear in Financial Cryptography and Data Security 202

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction

With the booming of pre-trained transformers, remarkable progress has been made on textual pair modeling to support relevant natural language applications. Two lines of approaches are developed for text matching: interaction-based models performing full interactions over the textual pair, and representation-based models encoding the pair independently with siamese encoders. The former achieves compelling performance due to its deep interaction modeling ability, yet with a sacrifice in inference latency. The latter is efficient and widely adopted for practical use, however, suffers from severe performance degradation due to the lack of interactions. Though some prior works attempt to integrate interactive knowledge into representation-based models, considering the computational cost, they only perform late interaction or knowledge transferring at the top layers. Interactive information in the lower layers is still missing, which limits the performance of representation-based solutions. To remedy this, we propose a novel \textit{Virtual} InteRacTion mechanism, termed as VIRT, to enable full and deep interaction modeling in representation-based models without \textit{actual} inference computations. Concretely, VIRT asks representation-based encoders to conduct virtual interactions to mimic the behaviors as interaction-based models do. In addition, the knowledge distilled from interaction-based encoders is taken as supervised signals to promise the effectiveness of virtual interactions. Since virtual interactions only happen at the training stage, VIRT would not increase the inference cost. Furthermore, we design a VIRT-adapted late interaction strategy to fully utilize the learned virtual interactive knowledge

A β-glucosidase hyper-production Trichoderma reesei mutant reveals a potential role of cel3D in cellulase production

Abstract Background The conversion of cellulose by cellulase to fermentable sugars for biomass-based products such as cellulosic biofuels, biobased fine chemicals and medicines is an environment-friendly and sustainable process, making wastes profitable and bringing economic benefits. Trichoderma reesei is the well-known major workhorse for cellulase production in industry, but the low β-glucosidase activity in T. reesei cellulase leads to inefficiency in biomass degradation and limits its industrial application. Thus, there are ongoing interests in research to develop methods to overcome this insufficiency. Moreover, although β-glucosidases have been demonstrated to influence cellulase production and participate in the regulation of cellulase production, the underlying mechanism remains unclear. Results The T. reesei recombinant strain TRB1 was constructed from T. reesei RUT-C30 by the T-DNA-based mutagenesis. Compared to RUT-C30, TRB1 displays a significant enhancement of extracellular β-glucosidase (BGL1) activity with 17-fold increase, a moderate increase of both the endoglucanase (EG) activity and the exoglucanase (CBH) activity, a minor improvement of the total filter paper activity, and a faster cellulase induction. This superiority of TRB1 over RUT-C30 is independent on carbon sources and improves the saccharification ability of TRB1 cellulase on pretreated corn stover. Furthermore, TRB1 shows better resistance to carbon catabolite repression than RUT-C30. Secretome characterization of TRB1 shows that the amount of CBH, EG and BGL in the supernatant of T. reesei TRB1 was indeed increased along with the enhanced activities of these three enzymes. Surprisingly, qRT-PCR and gene cloning showed that in TRB1 β-glucosidase cel3D was mutated through the random insertion by AMT and was not expressed. Conclusions The T. reesei recombinant strain TRB1 constructed in this study is more desirable for industrial application than the parental strain RUT-C30, showing extracellular β-glucosidase hyper production, high cellulase production within a shorter time and a better resistance to carbon catabolite repression. Disruption of β-glucosidase cel3D in TRB1 was identified, which might contribute to the superiority of TRB1 over RUT-C30 and might play a role in the cellulase production. These results laid a foundation for future investigations to further improve cellulase enzymatic efficiency and reduce cost for T. reesei cellulase production.http://deepblue.lib.umich.edu/bitstream/2027.42/134636/1/12934_2016_Article_550.pd

Variation in VEGFA and risk of cardiovascular disease in the UK Biobank

BackgroundCardiovascular disease (CVD) is an escalating global health crisis, contributing significantly to worldwide mortality and morbidity. Dyslipidemia stands as a critical risk factor for CVD. Vascular endothelial growth factor A (VEGFA) is pivotal in angiogenesis and represents a clinical target for CVD intervention. However, the impact of genetic modulation of VEGFA on lipid levels and the subsequent risk of cardiovascular events remains unclear.MethodsWe used LDpred2 to calculate genetic scores for lipid levels based on VEGFA variation, serving as instrumental variables to simulate the effect of VEGFA inhibitors. We then assessed the associations between genetic risk for lipid levels and CVD risk by conducting One-sample Mendelian randomization.ResultsOur results indicated that low-density lipoprotein cholesterol [LDL-C; odds ratio (OR) = 1.09, 95% CI: 1.06–1.11], remnant cholesterol (RC; OR = 1.24, 95% CI: 1.13–1.36), and triglycerides (TG; OR = 1.14, 95% CI: 1.07–1.22) were positively associated with the incidence of CVD. In contrast, high-density lipoprotein cholesterol (HDL-C) was inversely associated with the incidence of CVD (OR = 0.80, 95% CI: 0.76–0.86). When considering the genetic score for LDL-C constructed based on VEGFA, the group with a high genetic score demonstrated an elevated CVD risk (OR = 1.11, 95% CI: 1.04–1.19) compared to those with a low genetic score. Notably, One-sample Mendelian randomization results provided evidence of a causal relationship between LDL-C and CVD (p = 8.4×10−3) when using genetic variation in VEGFA as an instrumental variable.ConclusionsGenetic variation mimicking the effect of VEGFA inhibition, which lowers LDL-C levels, was causally associated with a reduced risk of cardiovascular events. These findings offer insight into the potential therapeutic relevance of modulating VEGFA-mediated lipid changes in the prevention and management of CVD

Effects of Chitin and Its Derivative Chitosan on Postharvest Decay of Fruits: A Review

Considerable economic losses to harvested fruits are caused by postharvest fungal decay during transportation and storage, which can be significantly controlled by synthetic fungicides. However, considering public concern over pesticide residues in food and the environment, there is a need for safer alternatives for the control of postharvest decay to substitute synthetic fungicides. As the second most abundant biopolymer renewable source in nature, chitin and its derivative chitosan are widely used in controlling postharvest decay of fruits. This review aims to introduce the effect of chitin and chitosan on postharvest decay in fruits and the possible modes of action involved. We found most of the actions discussed in these researches rest on physiological mechanisms. All of the mechanisms are summarized to lay the groundwork for further studies which should focus on the molecular mechanisms of chitin and chitosan in controlling postharvest decay of fruits