H-NS represses fliD transcription for lateral flagellar filament cap in Vibrio parahaemolyticus.

Vibrio parahaemolyticus propels itself through liquids using a polar flagellum and efficiently swarms across surfaces or viscous environments with the aid of lateral flagella. H-NS plays a negative role in the swarming motility of V. parahaemolyticus by directly repressing the transcription of the lateral flagellin gene lafA.

Myoferlin alleviates pressure overload-induced cardiac hypertrophy and dysfunction by inhibiting NLRP3-mediated pyroptosis.

Myoferlin (MYOF) is a muscle-derived secretory protein. Recent studies have found that MYOF protects against cell damage. However, the role of MYOF in cardiac hypertrophy remains unclear.

Structure, spectral properties and antioxidant activity of melanoidins extracted from high temperature sterilized lotus rhizome juice.

Melanoidins are complex macromolecular compounds closely associated with the browning phenomenon in high-temperature sterilized lotus rhizome juice (HTSL). This study aimed to preliminarily investigate the structural properties of melanoidins extracted from HTSL. Results showed that the average molecular weight of HTSL melanoidins ranged from 1.

CIRCUSP42 AMELIORATES LPS-INDUCED HUMAN RENAL EPITHELIAL CELLS IN VITRO BY REGULATING THE MIR-182-5P/DUSP1 AXIS.

Background: Sepsis is a life-threatening systemic inflammatory disease that can cause many diseases, including acute kidney injury (AKI). Increasing evidence showed that a variety of circular RNAs were considered to be involved in the development of the disease. In this study, we aimed to elucidate the role and potential mechanism of circUSP42 in sepsis-induced AKI.

EGFR-targeted humanized single chain antibody fragment functionalized silica nanoparticles for precision therapy of cancer.

The combination of highly specific targeting ability and potent killing effect has made antibody-drug conjugates (ADCs) a popular area of focus in the development of anti-cancer drugs. However, the large molecular weight of IgG antibodies (∼ 150 kDa) often faces challenges in penetrating capillaries and stroma in tumor tissue. Moreover, when the drug-antibody ratio (DAR) is too low (DAR < 2) or too high (DAR > 6) it decreases the effectiveness of the ADC and further increases the potential for aggregation, overall clearance of the early system payload, and release rate.

Fullerenols Mitigate Radiation-Induced Myocardial Injury.

Radiation-induced heart disease is a serious side effect of radiation therapy that can lead to severe consequences. However, effective and safe methods for their prevention and treatment are presently lacking. This study reports the crucial function of fullerenols in protecting cardiomyocytes from radiation injury.

Study on myocardial toxicity induced by lead halide perovskites nanoparticles.

Lead halide perovskites (LHPs) are outstanding candidates for next-generation optoelectronic materials, with considerable prospects of use and commercial value. However, knowledge about their toxicity is scarce, which may limit their commercialization. Here, for the first time, we studied the cardiotoxicity and molecular mechanisms of representative CsPbBr nanoparticles in LHPs.

Lung Toxicity and Molecular Mechanisms of Lead-Based Perovskite Nanoparticles in the Respiratory System.

Lead-based perovskite nanoparticles (Pb-PNPs) have found extensive applications across diverse fields. However, because of poor stability and relatively strong water solubility, the potential toxicity of Pb-PNPs released into the environment during their manufacture, usage, and disposal has attracted significant attention. Inhalation is a primary route through which human exposure to Pb-PNPs occurs.

FedRAD: Heterogeneous Federated Learning via Relational Adaptive Distillation.

As the development of the Internet of Things (IoT) continues, Federated Learning (FL) is gaining popularity as a distributed machine learning framework that does not compromise the data privacy of each participant. However, the data held by enterprises and factories in the IoT often have different distribution properties (Non-IID), leading to poor results in their federated learning. This problem causes clients to forget about global knowledge during their local training phase and then tends to slow convergence and degrades accuracy.

A Thermopile-Based Gas Flow Sensor with High Sensitivity for Noninvasive Respiration Monitoring.

In this work, a N/P polySi thermopile-based gas flow device is presented, in which a microheater distributed in a comb-shaped structure is embedded around hot junctions of thermocouples. The unique design of the thermopile and the microheater effectively enhances performance of the gas flow sensor leading to a high sensitivity (around 6.6 μV/(sccm)/mW, without amplification), fast response (around 35 ms), high accuracy (around 0.

CsPbBr Perovskite Nanoparticles causes Colitis-Like Symptom via Promoting Intestinal Barrier Damage and Gut Microbiota Dysbiosis.

Lead-based perovskite nanoparticles (Pb-PNPs) with superior optoelectronic properties are promising alternatives for the next generation of photovoltaics materials. This raises a great concern about their potential exposure toxicity in biological systems. However, little is known about their adverse effects on the gastrointestinal tract system so far.

Constructed Tumor-Targeted and MMP-2 Biocleavable Antibody Conjugated Silica Nanoparticles for Efficient Cancer Therapy.

Antibody-drug conjugates (ADC) are an inevitable trend in the development of modern "precision medicine". The goal of this work is to produce enzyme-responsive antibody nanoparticle-loaded medication (FMSN-Dox-H2-AE01) based on the EGFR antibody (AE01) and human serum albumin (HSA) shelled mesoporous silica nanoparticles. HSA and antibodies on the surface of the particlescan not only enhance the biocompatibility of the particle and avoid early drug leakage but also allow selective biodegradation triggered by matrix metalloproteinase-2 (MMP-2), which are overexpressed enzymes in some tumor tissues.

Adhesive Ergothioneine Hyaluronate Gel Protects against Radiation Gastroenteritis by Alleviating Apoptosis, Inflammation, and Gut Microbiota Dysbiosis.

Radiation gastroenteritis represents one of the most prevalent and hazardous complications of abdominopelvic radiotherapy, which not only severely reduces patients' life quality but also restricts radiotherapy efficacy. However, there is currently no clinically available oral radioprotector for this threatening disease due to its complex pathogenesis and the harsh gastrointestinal environment. To this end, this study developed a facile but effective oral radioprotector, ergothioneine hyaluronate (EGT@HA) gel, protecting against radiation gastroenteritis by synergistically regulating oxidative stress, inflammation, and gut microbiota.

An Optimization Method of Production-Distribution in Multi-Value-Chain.

Value chain collaboration management is an effective means for enterprises to reduce costs and increase efficiency to enhance competitiveness. Vertical and horizontal collaboration have received much attention, but the current collaboration model combining the two is weak in terms of task assignment and node collaboration constraints in the whole production-distribution process. Therefore, in the enterprise dynamic alliance, this paper models the MVC (multi-value-chain) collaboration process for the optimization needs of the MVC collaboration network in production-distribution and other aspects.

Analysis of the in vitro function and internalization ability of a humanized EGFR antibody AE01 expressed by Chinese hamster ovary cells.

The primary objective of this study was to obtain humanized EGFR antibody and to study it in vitro binding and endocytosis to A431 epidermoid carcinoma cells overexpressing EGFR. Firstly, humanized anti-EGFR AE01 was stably expressed in CHO system. The expression of AE01 was detected by SDS-PAGE and Western blot.

A comprehensive evaluation of stable expression "hot spot" in the ScltI gene of Chinese hamster ovary cells.

The Chinese hamster ovary (CHO) cell is the most widely used biopharmaceutical expression system, but its long-term expression is unstable. This issue can be effectively addressed by site-specific integration of exogenous genes into the genome. Therefore, exogenous protein sites with stable expression in the CHO cell genome must be identified.

Distributed Supervision Model for Enterprise Data Asset Trading Based on Blockchain Multi-Channel in Industry Alliance.

Compared with traditional physical commodities, data are intangible and easy to leak, and the related trading process has problems, such as complex participating roles, lengthy information flow, poor supervisory coverage and difficult information traceability. To handle these problems, we construct a distributed supervision model for data trading based on blockchain, and conduct multi-party hierarchical and multi-dimensional supervision of the whole process of data trading through collaborative supervision before the event, at present and after the event. First, the characteristics of information flow in the data trading process are analyzed, and the main subject and key supervision information in the data trading process are sorted out and refined.

A Highly Accurate Method for Measuring Response Time of MEMS Thermopiles.

The response time is an important parameter for thermopiles sensors, which reflects the response speed of the device. The accurate measurement of response time is extremely important to evaluate device characteristics for using them in suitable scenarios. In this work, to accurately measure the response time of thermopile sensors, an Al microheater is integrated in a MEMS thermopile as an in situ heat source.

Effects of different concentrations of ascorbic acid on the stability of (+) - Catechin under enzymatic conditions.

A series of incubation systems of (+) - catechin (Cat), ascorbic acid (AA) and polyphenol oxidase (PPO) of lotus rhizome at 40 °C were performed to investigate the effect and oxidation pathway of AA on the stability of Cat. The results showed that after the enzymatic or non-enzymatic oxidation of Cat, the products of the two reactions were the same, namely epicatechin, catechin dimer and dehydrogenated catechin dimer. After adding AA, the protective effect of AA on catechin increased first and then decreased with the increase of AA concentration.

[Bone marrow mesenchymal stem cells attenuate pyroptosis lipopolysaccharide-induced renal injury rats].

Objective: To investigate the effect and mechanism of bone marrow mesenchymal stem cell (BMSC) on pyroptosis of rats with kidney injury.

Methods: Bone marrow of 4-5 week-old female Sprague-Dawley (SD) rats was isolated in vitro and BMSC was obtained. The third generations of BMSC were used to further experiments.

Attenuation of Lipopolysaccharide-induced Liver Injury by Bone Marrow Mesenchymal Stem Cells via Inhibiting the NLRP3 Inflammasome and Hepatocyte Pyroptosis.

Background: The transplantation of bone marrow mesenchymal cells (BMSCs) has been shown to be an effective mean for treating sepsis-related organ damage. Pytoptotic cell death, in turn, has recently been identified as a key driver of sepsis-related damage. At present, there are few studies on the effect of BMSC transplantation on pyroptotic cell death.

A Thermopile Infrared Sensor Array Pixel Monolithically Integrated with an NMOS Switch.

In this article, we present the design, fabrication, and characterization of a thermopile infrared sensor array (TISA) pixel. This TISA pixel is composed of a dual-layer p+/n- poly-Si thermopile with a closed membrane and an n-channel metal oxide semiconductor (NMOS) switch. To address the challenges in fabrication through the 3D integration method, the anode of the thermopile is connected to the drain of the NMOS, both of which are fabricated on the same bulk wafer using a CMOS compatible monolithic integration process.

Semantic segmentation of COVID-19 lesions with a multiscale dilated convolutional network.

Automatic segmentation of infected lesions from computed tomography (CT) of COVID-19 patients is crucial for accurate diagnosis and follow-up assessment. The remaining challenges are the obvious scale difference between different types of COVID-19 lesions and the similarity between the lesions and normal tissues. This work aims to segment lesions of different scales and lesion boundaries correctly by utilizing multiscale and multilevel features.