Discovery and evaluation of novel Benzohydroxamic acid-indole derivatives as dual inhibitors of ADAM17 and HDAC2 with antitumor activity.

Hepatocellular carcinoma (HCC) has garnered significant attention from researchers due to its high recurrence rate and invasive characteristics. The design of drugs with dual-target combined effects represents a promising strategy in cancer treatment. Our observations suggest that ADAM17 and HDAC may inhibit the unfavorable prognostic signaling pathway Notch1 in HCC through distinct mechanisms, thereby suppressing tumor cell proliferation and metastasis.

Four multi-stimuli-responsive color-changing materials based on Anderson-viologens for erasable inkless printing, UV detectors and gradient detection of amine gases.

Multi-stimuli-responsive materials have garnered widespread attention due to their exceptional potential in various applications, including optical anti-counterfeiting devices, sensor technology, and information storage materials. In this study, we demonstrate the synthesis of four polyoxometalates/viologens (POMs/Vios)-based compounds featuring remarkable color-changing performance, namely, [Zn(HL)(HO)(TeMoO)]·6HO (1), [Co(HL)(HO)(TeMoO)]·4HO (2), [Zn(TeMoO)(HO)]·L·6HO (3), [Co(TeMoO)(HO)]·L·6HO (4) (L·Cl = 1,1'-[1,3-phenylenebis(methylene)] bis-(4,4'-bipyridine) dichloride). Compounds 1, 3, and 4 exhibit rapid and reversible photochromic properties, making them suitable for applications in erasable inkless printing and information storage.

IgA class switching enhances neutralizing potency against SARS-CoV-2 by increased antibody hinge flexibility.

IgA antibodies are critical components of the mucosal immune barrier, providing essential first-line defense against viral infections. In this study, we investigated the impact of antibody class switching on neutralization efficacy by engineering recombinant antibodies of different isotypes (IgA1, IgG1) with identical variable regions from SARS-CoV-2 convalescent patients. A potent, broad-spectrum neutralizing monoclonal antibody CAV-C65 exhibited a ten-fold increase in neutralization potency upon switching from IgG1 to IgA1 monomer.

CircRNA based multivalent neuraminidase vaccine induces broad protection against influenza viruses in mice.

Developing broad-spectrum influenza vaccines is crucial for influenza control and potential pandemic preparedness. Here, we reported a novel vaccine design utilizing circular RNA (circRNA) as a delivery platform for multi-subtype neuraminidases (NA) (influenza A N1, N2, and influenza B Victoria lineage NA) immunogens. Individual NA circRNA lipid nanoparticles (LNP) elicited robust NA-specific antibody responses with neuraminidase inhibition activity (NAI), preventing the virus from egressing and infecting neighboring cells.

Coupling intention and actions of vehicle-pedestrian interaction: A virtual reality experiment study.

The interactions between vehicles and pedestrians are complex due to their interdependence and coupling. Understanding these interactions is crucial for the development of autonomous vehicles, as it enables accurate prediction of pedestrian crossing intentions, more reasonable decision-making, and human-like motion planning at unsignalized intersections. Previous studies have devoted considerable effort to analyzing vehicle and pedestrian behavior and developing models to forecast pedestrian crossing intentions.

Elimination of antibiotic-resistant bacteria and resistance genes by earthworms during vermifiltration treatment of excess sludge.

Vermifiltration (VF) and a conventional biofilter (BF, no earthworm) were investigated by metagenomics to evaluate the removal rates of antibiotic-resistant bacteria (ARB), antibiotic resistance genes (ARGs), and class 1 integron-integrase (intI1), as well as the impact mechanism in combination with the microbial community. According to the findings of qPCR and metagenomics, the VF facilitated greater removal rates of ARGs (78.83% ± 17.

The Impact of LiDAR Configuration on Goal-Based Navigation within a Deep Reinforcement Learning Framework.

Over the years, deep reinforcement learning (DRL) has shown great potential in mapless autonomous robot navigation and path planning. These DRL methods rely on robots equipped with different light detection and range (LiDAR) sensors with a wide field of view (FOV) configuration to perceive their environment. These types of LiDAR sensors are expensive and are not suitable for small-scale applications.

Evaluation of Osteogenic Potential for Rat Adipose-Derived Stem Cells under Xeno-Free Environment.

This study aimed to develop a novel culture method for rat adipose-derived stem cells (rADSC) and evaluate their osteogenic potential. The rADSC cultured in xeno-free culture medium (XF-rADSCs) or conventional culture medium containing fetal bovine serum (FBS-rADSCs) were combined with micropieces of xeno-free recombinant collagen peptide to form 3-dimensional aggregates (XF-rADSC-CellSaic or FBS-rADSC-CellSaic). Both FBS-rADSC and XF-ADSC in CellSaic exhibited multilineage differentiation potential.

CircNOLC1 Promotes Colorectal Cancer Liver Metastasis by Interacting with AZGP1 and Sponging miR-212-5p to Regulate Reprogramming of the Oxidative Pentose Phosphate Pathway.

Liver metastasis is a common cause of death in progressive colorectal cancer patients, but the molecular mechanisms remain unclear. Here, it is reported that a conserved and oxidative pentose phosphate pathway-associated circular RNA, circNOLC1, plays a crucial role in colorectal cancer liver metastasis. It is found that circNOLC1 silencing reduces the oxidative pentose phosphate pathway-related intermediate metabolites and elevates NADP /NADPH ratio and intracellular ROS levels, thereby attenuating colorectal cancer cell proliferation, migration, and liver metastasis.

High expression of NOLC1 as an independent prognostic factor for survival in patients with colorectal cancer.

Background: As a phosphorylated protein, NOLC1 is mainly located in the nucleus and is highly expressed in a variety of tumors, participating in the regulation of cell proliferation and aging. This study further investigated the role of NOLC1 in colorectal cancer tumors, aiming to provide sufficient scientific evidence for the clinical treatment of colorectal cancer.

Methods: We used TCGA, GEO, TNMplot, GEPIA, and other databases to explore the expression level of NOLC1 in colorectal cancer patients, as well as the correlation between the clinical characteristics of colorectal cancer patients and their expression, and conducted the prognostic analysis.

Regulating highly photoelectrochemical activity of Zr-based mixed-linker metal-organic frameworks toward sensitive electrogenerated chemiluminescence sensing of α-glucosidase.

The conductivity and emission efficiency of metal-organic frameworks (MOFs) remain challenging factors that limit their electrogenerated chemiluminescence (ECL) sensing applications. Herein, we report a facile approach to address these challenges by integrating an electroactive linker (H-TCPP) with an ECL active electrogenerated chemiluminescence linker (H-TBAPy) to construct a highly photoelectrochemical active mixed-linker MOFs (ML-MOFs). ECL results revealed a remarkable 15.

Exploitation of nanocrystal suspension as an effective oral formulation for oxfendazole.

An oxfendazole (OFZ) nanocrystal suspension was prepared by acid-base neutralization and crystallization combined with ultrasonic dispersion to overcome the challenge of its poor oral bioavailability. The nanosuspensions were screened and optimized by single-factor experiments and an orthogonal design using size and appearance as indices. The morphology (differential scanning calorimetry (DSC), X-ray powder diffraction (XRPD)) properties and pharmacokinetics of the best formulation were further developed.

FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search.

Deep neural networks achieve remarkable performance in many computer vision tasks. Most state-of-the-art (SOTA) semantic segmentation and object detection approaches reuse neural network architectures designed for image classification as the backbone, commonly pre-trained on ImageNet. However, performance gains can be achieved by designing network architectures specifically for detection and segmentation, as shown by recent neural architecture search (NAS) research for detection and segmentation.

Toward Accurate Predictions of Atomic Properties via Quantum Mechanics Descriptors Augmented Graph Convolutional Neural Network: Application of This Novel Approach in NMR Chemical Shifts Predictions.

In this study, an augmented Graph Convolutional Network (GCN) with quantum mechanics (QM) descriptors was reported for its accurate predictions of NMR chemical shifts with respect to experimental values. The prediction errors of C/H NMR chemical shifts can be as small as 2.14/0.

Accurate predictions of aqueous solubility of drug molecules via the multilevel graph convolutional network (MGCN) and SchNet architectures.

Deep learning based methods have been widely applied to predict various kinds of molecular properties in the pharmaceutical industry with increasingly more success. In this study, we propose two novel models for aqueous solubility predictions, based on the Multilevel Graph Convolutional Network (MGCN) and SchNet architectures, respectively. The advantage of the MGCN lies in the fact that it could extract the graph features of the target molecules directly from the (3D) structural information; therefore, it doesn't need to rely on a lot of intra-molecular descriptors to learn the features, which are of significance for accurate predictions of the molecular properties.

Injection of minocycline into the periaqueductal gray attenuates morphine withdrawal signs.

This study investigated the effects of minocycline microinjections, into the midbrain periaqueductal gray (PAG), on morphine withdrawal and the expression of pannexin-1 (panx1), phosphorylated mammalian target of rapamycin (p-mTOR), protein kinase A (PKA), and cAMP response element-binding protein (CREB). Rats were injected with morphine, intraperitoneally, at increasing doses, twice per day, to establish animal models of morphine exposure. Minocycline was administered into the PAG before the first intraperitoneal (i.

lncRNA STEAP3-AS1 Modulates Cell Cycle Progression via Affecting CDKN1C Expression through STEAP3 in Colon Cancer.

Previous studies have reported that long noncoding RNAs (lncRNAs) have acted as new players during tumorigenesis. Metallothionein also plays an important role in tumor progression. It is mainly considered to be involved in the process of cell proliferation, oxidative stress, and multidrug resistance.

Separation of mono- and di-valent ions from seawater reverse osmosis brine using selective electrodialysis.

As water scarcity has become a serious global issue, seawater reverse osmosis (SWRO) is considered as a promising technique to expand traditional water supplies. However, the reject brine from SWRO systems is still a major environmental concern. In this research, the monovalent selective electrodialysis (S-ED) was used to separate and recover one of the primary components, i.

Molecular dynamics simulations of solvent effects on the crystal morphology of lithium carbonate.

The attachment energy (AE) model was employed to investigate the growth morphology of LiCO under vacuum and water solvent conditions by molecular dynamics simulations. The attachment energy calculation predicted the growth morphology in vacuum dominated by the (1 1 -1), (0 0 2) and (1 1 0) crystal faces. A modified attachment energy model, accounting for the surface chemistry and the corresponding topography of the habit crystal plane, was established to predict the morphological importance of crystal faces in a water solvent.

Nanoparticles for antiparasitic drug delivery.

As an emerging novel drug carrier, nanoparticles provide a promising way for effective treatment of parasitic diseases by overcoming the shortcomings of low bioavailability, poor cellular permeability, nonspecific distribution and rapid elimination of antiparasitic drugs from the body. In recent years, some kinds of ideal nanocarriers have been developed for antiparasitic drug delivery. In this review, the progress of the enhanced antiparasitic effects of different nanoparticles payload and their influencing factors were firstly summarized.

Photonic nonlinearities via quantum Zeno blockade.

Realizing optical-nonlinear effects at a single-photon level is a highly desirable but also extremely challenging task, because of both fundamental and practical difficulties. We present an avenue to surmounting these difficulties by exploiting quantum Zeno blockade in nonlinear optical systems. Considering specifically a lithium-niobate microresonator, we find that a deterministic phase gate can be realized between single photons with near-unity fidelity.