Micheliolide ameliorates severe acute pancreatitis in mice through potentiating Nrf2-mediated anti-inflammation and anti-oxidation effects.

Severe acute pancreatitis (SAP) is an acute inflammatory injury disease with significant mortality rate and currently without effective strategy being available. Inflammation and oxidative stress play central roles in the etiology of SAP. Micheliolide (MCL), an active monomeric component isolated from Michelia champaca, has been proved its multiple therapeutic properties including anti-inflammatory, antioxidant and anti-cancer.

A Review on Friction Stir Welding of High-Strength Al-Zn-Mg Alloy: Insights on Second-Phase Particles.

The friction stir welding (FSW) process is a unique combination of deformation and high temperature, which provides opportunities to modify microstructures through the adjustment of the processing parameters and is an ideal way to join non-weldable aluminum alloys by avoiding the formation of a molten pool. The 7xxx series heat-treatable aluminum alloys are widely used in the aerospace field as high-performance structural materials. The microstructure evolution and mechanical performance of these alloys are affected by the effects of thermomechanical processing, which provides opportunities to optimize the material properties by controlling microstructural features such as intermetallic constituent particles, dispersoids and nanoscale precipitates.

Targeting 5-Hydroxytryptamine Receptor 1A in the Portal Vein to Decrease Portal Hypertension.

Background & Aims: Portal hypertension (PH) is one of the most frequent complications of chronic liver disease. The peripheral 5-hydroxytryptamine (5-HT) level was increased in cirrhotic patients. We aimed to elucidate the function and mechanism of 5-HT receptor 1A (HTR1A) in the portal vein (PV) on PH.

IFI16 Positively Regulates RIG-I-Mediated Type I Interferon Production in a STING-Independent Manner.

Previous studies have shown that interferon gene-stimulating protein (STING) is essential for IFN-γ-inducible protein 16 (IFI16) as the DNA sensor and RNA sensor to induce transcription of type I interferon (IFN-I) and is essential for IFI16 to synergize with DNA sensor GMP-AMP (cGAMP) synthase (cGAS) in induction of IFN-I transcription. While other and our previous studies have shown that IFI16 enhanced retinoic acid-inducible gene I (RIG-I)-, which was an RNA sensor, and mitochondrial antiviral signaling (MAVS)-, which was the adaptor protein of RIG-I, induced production of IFN-I, so we wonder whether IFI16 regulates the signal pathway of RNA-RIG-I-MAVS-IFN-I in a STING-dependent manner. We used HEK 293T cells, which did not express endogenous STING and were unable to mount an innate immune response upon DNA transfection and found that IFI16 could enhance RIG-I- and MAVS-mediated induction of IFN-I in a STING-independent way.

Efficient Near-Infrared Spectrum Detection in Nondestructive Wood Testing via Transfer Network Redesign.

This study systematically developed a deep transfer network for near-infrared spectrum detection using convolutional neural network modules as key components. Through meticulous evaluation, specific modules and structures suitable for constructing the near-infrared spectrum detection model were identified, ensuring its effectiveness. This study extensively analyzed the basic network components and explored three unsupervised domain adaptation structures, highlighting their applications in the nondestructive testing of wood.

TRIB3-TRIM8 complex drives NAFLD progression by regulating HNF4α stability.

Background & Aims: Endoplasmic reticulum (ER) stress of hepatocytes plays a causative role in non-alcoholic fatty liver disease (NAFLD). Reduced expression of hepatic nuclear factor 4α (HNF4α) is a critical event in the pathogenesis of NAFLD and other liver diseases. Whether ER stress regulates HNF4α expression remains unknown.

Metabolic regulatory network kinetic modeling with multiple isotopic tracers for iPSCs.

The rapidly expanding market for regenerative medicines and cell therapies highlights the need to advance the understanding of cellular metabolisms and improve the prediction of cultivation production process for human induced pluripotent stem cells (iPSCs). In this paper, a metabolic kinetic model was developed to characterize the underlying mechanisms of iPSC culture process, which can predict cell response to environmental perturbation and support process control. This model focuses on the central carbon metabolic network, including glycolysis, pentose phosphate pathway, tricarboxylic acid cycle, and amino acid metabolism, which plays a crucial role to support iPSC proliferation.

End-to-end interpretable disease-gene association prediction.

Identifying disease-gene associations is a fundamental and critical biomedical task towards understanding molecular mechanisms, the diagnosis and treatment of diseases. It is time-consuming and expensive to experimentally verify causal links between diseases and genes. Recently, deep learning methods have achieved tremendous success in identifying candidate genes for genetic diseases.

Myeloidderived suppressor cells: Escorts at the maternal-fetal interface.

Myeloid-derived suppressor cells (MDSCs) are a novel heterogenous group of immunosuppressive cells derived from myeloid progenitors. Their role is well known in tumors and autoimmune diseases. In recent years, the role and function of MDSCs during reproduction have attracted increasing attention.

Detection of Pine Cones in Natural Environment Using Improved YOLOv4 Deep Learning Algorithm.

Achieving the rapid and accurate detection of pine cones in the natural environment is essential for yield estimation and automatic picking. However, the complex background and tiny target pose a significant challenge to pine cone detection. This paper proposes a pine cone detection method using the improved You Only Look Once (YOLO) version 4 algorithm to overcome these challenges.

Drug-target interaction predication via multi-channel graph neural networks.

Drug-target interaction (DTI) is an important step in drug discovery. Although there are many methods for predicting drug targets, these methods have limitations in using discrete or manual feature representations. In recent years, deep learning methods have been used to predict DTIs to improve these defects.

Evaluating disease similarity based on gene network reconstruction and representation.

Motivation: Quantifying the associations between diseases is of great significance in increasing our understanding of disease biology, improving disease diagnosis, re-positioning and developing drugs. Therefore, in recent years, the research of disease similarity has received a lot of attention in the field of bioinformatics. Previous work has shown that the combination of the ontology (such as disease ontology and gene ontology) and disease-gene interactions are worthy to be regarded to elucidate diseases and disease associations.

Identification of novel hub genes and lncRNAs related to the prognosis and progression of pancreatic cancer by microarray and integrated bioinformatics analysis.

Background: Pancreatic cancer (PC) is one of the most invasive and metastatic neoplasms among the fatal malignancies of the digestive system. Abnormal expression of genes and long non-coding RNAs (lncRNAs) are reportedly linked to multiple cancers. However, the lncRNA-mRNA expression profiles and their molecular mechanisms in PC progression are poorly known.

Norlichexanthone purified from plant endophyte prevents postmenopausal osteoporosis by targeting ER to inhibit RANKL signaling.

Although different types of drugs are available for postmenopausal osteoporosis, the limitations of the current therapies including drug resistances and adverse effects require identification of novel anti-osteoporosis agents. Here, we defined that norlichexanthone (NOR), a natural product, is a ligand of estrogen receptor-alpha (ER) and revealed its therapeutic potential for postmenopausal osteoporosis. We used mammalian-one hybrid assay to screen for ER modulators from crude extracts of several plant endophytes.

miR-3613-5p enhances the metastasis of pancreatic cancer by targeting CDK6.

Pancreatic cancer (PC) is a leading cause of cancer mortality and is expected to continue increasing incidence. Abnormally expressed microRNAs have been demonstrated tightly correlated with the development and progression of PC. However, the molecular mechanisms remain largely unknown.

Fusion of Hyperspectral CASI and Airborne LiDAR Data for Ground Object Classification through Residual Network.

Modern satellite and aerial imagery outcomes exhibit increasingly complex types of ground objects with continuous developments and changes in land resources. Single remote-sensing modality is not sufficient for the accurate and satisfactory extraction and classification of ground objects. Hyperspectral imaging has been widely used in the classification of ground objects because of its high resolution, multiple bands, and abundant spatial and spectral information.

3-Cl-AHPC inhibits pro-HGF maturation by inducing matriptase/HAI-1 complex formation.

Matriptase is an epithelia-specific membrane-anchored serine protease, and its dysregulation is highly related to the progression of a variety of cancers. Hepatocyte growth factor activator inhibitor-1 (HAI-1) inhibits matriptase activity through forming complex with activated matriptase. The balance of matriptase activation and matriptase/HAI-1 complex formation determines the intensity and duration of matriptase activity.

Deletion of HNF1α in hepatocytes results in fatty liver-related hepatocellular carcinoma in mice.

Hepatocyte nuclear factor 1α (HNF1α) is a liver-enriched transcription factor that is critical for the maintenance of hepatocyte function. Our previous studies have demonstrated the therapeutic effects of HNF1α on hepatic fibrosis and hepatocellular carcinoma (HCC) in animals. In this study, we created hepatocyte-specific Hnf1α knockout mice using the Cre-loxP recombination system.

The Matrine Derivate MASM Prolongs Survival, Attenuates Inflammation, and Reduces Organ Injury in Murine Established Lethal Sepsis.

Background:  MASM, a novel derivative of matrine, has inhibitory effects on activation of macrophages, dendritic cells, and hepatic stellate cells and binds to ribosomal protein S5 (RPS5). This study was designed to evaluate the effect of MASM on murine-established lethal sepsis and its mechanisms.

Methods:  Mouse peritoneal macrophages and RAW264.

Type II diabetes patients with proteinuria and the recovery of their metabolic parameters.

Background: The aim of this study was to provide reasonable guidelines for type II diabetes patients with proteinuria to recover their metabolic parameters.

Methods: A cross-sectional study was conducted in selected groups of type 2 diabetic patients. Hypoglycemic and antihypertensive drug use was recorded.

Type II Diabetes Patients with Proteinuria and the Recovery of Their Metabolic Parameters.

The aim of this study is to provide reasonable guidelines for type II diabetes patients with proteinuria to recover their metabolic parameters. A cross-sectional study was conducted in selected groups of type 2 diabetic patients. Hypoglycemic and antihypertensive drug use was recorded.

Matrine derivate MASM suppresses LPS-induced phenotypic and functional maturation of murine bone marrow-derived dendritic cells.

Dendritic cell (DC) maturation process is a crucial step for the development of T cell immune responses and immune tolerance. In this study, we evaluated MASM, a novel derivative of the natural compound matrine that possesses a significant anti-inflammatory and immune-regulating property, for its efficacy to inhibit lipopolysaccharides (LPS)-induced maturation of murine bone marrow-derived dendritic cells. Here we show that MASM profoundly suppresses LPS-induced phenotypic and functional DC maturation.

Purification, antitumor and antioxidant activities in vitro of polysaccharides from the brown seaweed Sargassum pallidum.

Supercritical CO2 extraction, ultrasonic-aid extraction and membrane separation technology were applied to prepare Sargassum pallidum polysaccharides (SP). Three main fractions, SP-1, SP-2 and SP-3, were obtained by membranes of 1.0×10(-4)mm pore size and normal molecular-weight cut-off of 50kDa.