Exploring the mechanism of fibrates regulating HIF-1A in the treatment of ischemic stroke based on network pharmacology and molecular docking.

Fibrates can prevent and treat ischemic stroke (IS), the occurrence and development of IS is closely related to hypoxia-inducible factor-1A (HIF-1A). However, the exact mechanism by which fibrates regulate HIF-1A to treat IS remains unclear. So network pharmacology and molecular docking were used to explore the mechanism by which fibrates regulate HIF-1A to treat IS, firstly, the structure of five fibrates were obtained by reviewing the literature and pharmacopoeia, then the potential targets of fibrates, IS, HIF1A and HIF1A-related genes were obtained through various databases, their common targets were obtained through Venny 2.

[High expression of AURKB promotes malignant phenotype of osteosarcoma cells by activating nuclear factor-κB signaling DHX9].

Objectives: To investigate the regulatory mechanism of aurora kinase B (AURKB) for promoting malignant phenotype of osteosarcoma cells.

Methods: HA-Vector or HA-AURKB was transfected in 293T cells to identify the molecules interacting with AURKB using immunoprecipitation combined with liquid chromatography-tandem mass spectrometry followed by verification with co-immunoprecipitation and Western blotting. In cultured osteosarcoma cells with lentivirus-mediated RNA interference of AURKB or DHX9 or their overexpression, the changes in cell proliferation, migration, and invasion activities were observed with EDU and Transwell assays.

Application two-dimensional gel electrophoresis coupled with LC-MS/MS to identify candidate serodiagnostic antigens for early detection Psoroptes ovis var. cuniculi infection.

Currently, the 'gold standard' for diagnosis of Psoroptes ovis infections is detecting Psoroptes mites or eggs in skin scrapings under microscopy, but it is prone to be mis-diagnosed for detecting early infection of P. ovis. Hence, seeking a reliable diagnostic technique for detecting early-stage mite infections is extremely desirable.

MFC-ACL: Multi-view fusion clustering with attentive contrastive learning.

Multi-view clustering can better handle high-dimensional data by combining information from multiple views, which is important in big data mining. However, the existing models which simply perform feature fusion after feature extraction for individual views, mostly fails to capture the holistic attribute information of multi-view data due to ignoring the significant disparities among views, which seriously affects the performance of multi-view clustering. In this paper, inspired by the attention mechanism, an approach called Multi-View Fusion Clustering with Attentive Contrastive Learning (MFC-ACL) is proposed to tackle these issues.

SARS-CoV-2 SPIKE Antibody Levels can Indicate Immuno-Resilience to Re-infection: a Real-World Study.

Introduction: The use of antibody titers against SARS-CoV-2, as a method of estimating subsequent infection following infection or vaccination, is unclear. Here, we investigate whether specific levels of antibodies, as markers of adaptive immunity, can serve to estimate the risk of symptomatic SARS-CoV-2 (re-) infection.

Methods: In this real-world study, laboratory data from individuals tested for SARS-CoV-2 antibodies under routine clinical conditions were linked through tokenization to a United States medical insurance claims database to determine the risk of symptomatic/severe SARS-CoV-2 infection outcomes.

Region-specific biomechanical characterization of ascending thoracic aortic aneurysm of hypertensive patients with bicuspid aortic valves.

Hypertension and bicuspid aortic valve (BAV) are key clinical factors that may affect local biomechanical properties of ascending thoracic aortic aneurysms (ATAAs). This study sought to investigate regional differences in biaxial mechanical properties of the ATAAs for the hypertensive patients with BAV. Fresh ATAA samples were harvested from 16 hypertensive patients (age, 66 ± 9 years) undergoing elective aortic surgery.

Preadsorbed Particles with Cross-Shaped DNA Scaffolds Enable Spherical Nucleic Acid to Directly Respond to Protein in Complex Matrices.

Spherical nucleic acids (SNAs) usually suffer from an undesired protein corona and disrupt the function of nucleic acids (e.g., aptamer), thereby compromising recognition and response to proteins in the biological environment.

Network Pharmacology and Metabolomics Reveal Anti-Ferroptotic Effects of Curcumin in Acute Kidney Injury.

Introduction: Acute kidney injury (AKI) is linked to high rates of mortality and morbidity worldwide thereby posing a major public health problem. Evidences suggest that ferroptosis is the primary cause of AKI, while inhibition of monoamine oxidase A(MAOA) and 5-hydroxytryptamine were recognized as the defender of ferroptosis. Curcumin (Cur) is a natural polyphenol and the main bioactive compound of , which has been found nephroprotection in AKI.

Detailed cytogenetic analysis of three duck species (the northern pintail, mallard, and common goldeneye) and karyotype evolution in the family Anatidae (Anseriformes, Aves).

Galliformes and Anseriformes are two branches of the Galloanserae group, basal to other Neognathae. In contrast to Galliformes, Anseriformes have not been thoroughly researched by cytogenetic methods. This report is focused on representatives of Anseriformes and the evolution of their chromosome sets.

Progress of Chinese Medicine in Regulating Microglial Polarization against Alzheimer's Disease.

Alzheimer's disease (AD), the predominant form of dementia, is a neurodegenerative disorder of the central nervous system (CNS) characterized by a subtle onset and a spectrum of cognitive and functional declines. The clinical manifestation of AD encompasses memory deficits, cognitive deterioration, and behavioral disturbances, culminating in a severe impairment of daily living skills. Despite its high prevalence, accounting for 60-70% of all dementia cases, there remains an absence of curative therapeutics.

Circular-Gate Nanoscale Air Channel Transistors: Achieving ultralow Subthreshold Swing and Working Voltage.

As electronics advance toward higher performance and adaptability in extreme environments, traditional metal-oxide-semiconductor field-effect transistors (MOSFETs) face challenges due to physical constraints such as Boltzmann's law and short-channel effects. Nanoscale air channel transistors (NACTs) present a promising alternative, leveraging their vacuum-like channel and Fowler-Nordheim tunneling characteristics. In this study, a novel circular gate NACT (CG-NACT) is purposed, fabricated on a 4-inch silicon-based wafer using a CMOS-compatible process.

Efficacy and mechanisms of curcumin in the treatment of osteoarthritis: A scoping review.

Osteoarthritis (OA) is a degenerative joint disease that primarily affects the elderly worldwide. It is characterized by local inflammation, which can be targeted therapeutically using natural anti-inflammatory compounds such as curcumin. This scoping review explores the therapeutic effects and mechanisms of curcumin in OA management.

Curcumin-Modified Selenium Nanoparticles Improve S180 Tumour Therapy in Mice by Regulating the Gut Microbiota and Chemotherapy.

Purpose: This study aimed to synthesize curcumin-modified selenium (Cur/Se) nanoparticles via a simple and green method for tumour treatment and explore their effects on the gut microbiota.

Methods: Curcumin was applied as a reducing and capping agent for the construction of Cur/Se nanoparticles with Tween 80 as a stabilizer. The drug release behaviour and DPPH and ABTS radical scavenging activities of the Cur/Se nanoparticles were detected.

Ultrasmall Antioxidant Copper Nanozyme to Enhance Stem Cell Microenvironment for Promoting Diabetic Wound Healing.

Purpose: Stem cell therapy is a promising approach for treating chronic diabetic wounds. However, its effectiveness is significantly limited by the high oxidative stress environment and persistent inflammation induced by diabetes. Strategies to overcome these challenges are essential to enhance the therapeutic potential of stem cell therapy.

Metal-Core-Specific Screening with Machine Learning: Accelerating the Discovery of Metal Oxide Clusters for Enhanced EUV Lithography Resolution.

Obtaining effective extreme ultraviolet lithography (EUVL) materials for pragmatic applications remains challenging. The experimental design and conventional theoretical prediction are time-consuming and costly and hardly affordable to accelerate the discovery of commercial EUVL materials. In this work, we employed the machine learning (ML) technique to predict the ionization potential of promising EUVL materials, which is closely related to the photoresists' solubility switch.

SNP loci identification and KASP marker development system for genetic diversity, population structure, and fingerprinting in sweetpotato (Ipomoea batatas L.).

Sweetpotato (Ipomoea batatas L.), an important food and industrial crop in the world, has a highly heterozygous hexaploid genome, making the development of single nucleotide polymorphism (SNP) markers challenging. Identifying SNP loci and developing practical SNP markers are crucial for genomic and genetic research on sweetpotato.

Sliding Hydrogels Reveal the Modulation of Mechanosensing Attenuates the Inflammatory Phenotype of Osteoarthritic Chondrocytes in 3D.

Osteoarthritis (OA) is a prevalen degenerative joint disease with no FDA-approved therapies that can halt or reverse its progression. Current treatments address symptoms like pain and inflammation, but not underlying disease mechanisms. OA progression is marked by increased inflammation and extracellular matrix (ECM) degradation of the joint cartilage.

Mapping Knowledge Landscapes and Emerging Trends for the Spread of Health-Related Misinformation During the COVID-19 on Chinese and English Social Media: A Comparative Bibliometric and Visualization Analysis.

Background: Online health-related misinformation poses a serious threat to public health. As the coronavirus disease 2019 (COVID-19) pandemic aggravated the spread of misinformation regarding COVID-19, relevant research has surged.

Objective: To systematically summarize Chinese and English articles regarding health-related misinformation about COVID-19 on social media and quantitatively describe research progress.

Navigating the transitional window for organic semiconductor single crystals towards practical integration: from materials, crystallization, and technologies to real-world applications.

Organic semiconductor single crystals (OSSCs), which possess the inherent merits of long-range order, low defect density, high mobility, structural tunability and good flexibility, have garnered significant attention in the organic optoelectronic community. Past decades have witnessed the explosive growth of OSSCs. Despite numerous conceptual demonstrations, OSSCs remain in the early stages of implementation for applications that require high integration and multifunctionality.

[Lumbar disc nucleus pulposus excision by percutaneous endoscopic interlaminar approach for single segment giant lumbar disc herniation in young adults].

Objective: To explore feasibility, clinical and imaging outcomes of percutaneous endoscopic interlaminar discectomy (PEID) for single level large lumbar disc herniation(LDH).

Methods: From October 2018 to March 2023, 31 patients with single level LDH treated with PEID were retrospectively analyzed. Among patients, including 18 males and 13 females, aged from 15 to 40 years old with an average of (28.

Comparison of conventional diffusion-weighted imaging and multiplexed sensitivity-encoding combined with deep learning-based reconstruction in breast magnetic resonance imaging.

Purpose: To evaluate the feasibility of multiplexed sensitivity-encoding (MUSE) with deep learning-based reconstruction (DLR) for breast imaging in comparison with conventional diffusion-weighted imaging (DWI) and MUSE alone.

Methods: This study was conducted using conventional single-shot DWI and MUSE data of female participants who underwent breast magnetic resonance imaging (MRI) from June to December 2023. The k-space data in MUSE were reconstructed using both conventional reconstruction and DLR.

Multiomics analysis reveals aberrant tryptophan-kynurenine metabolism and immunity linked gut microbiota with cognitive impairment in major depressive disorder.

Objective: Cognitive impairment occurs throughout the entire course of and affects the work and life of patients with major depressive disorder (MDD). The gut microbiota, kynurenine pathway (KP) and inflammatory response may have important roles in the mechanism of cognitive impairment in MDD patients. Consequently, our goal was to investigate the association among the gut microbiota, inflammation, KP, and cognition in MDD.

Vermicomposting significantly reduced antibiotic resistance genes in cow manure even under high tetracycline concentrations.

Minimizing antibiotic resistance genes (ARGs) in livestock manure is crucial for curbing ARG dissemination. Vermicomposting can eliminate ARGs, but the effect of residual antibiotics on its reduction efficacy remains unclear. Herein, Eisenia foetida was employed to convert cow manure with varying concentrations of tetracycline (i.

Single-step genome-wide association study reveals candidate genes for body mass index trait in Yunong-black pigs.

Body mass index (BMI) can serve as a reasonable indicator of overall body fat content in pigs. This study aimed to identify underlying variants and candidate genes associated with BMI in Yunong-black pigs. A single-step genome-wide association analysis (GWAS) was performed on 1405 BMI records and 924 Yunong-black pigs genotyped using a 50 K SNP Chip.

In-Depth Analysis of Tissue Phosphoproteomics with TiO Enrichment and Fractionation with High-pH Reversed-Phase Chromatography.

Protein phosphorylation is an important post-translational modification that regulates almost all cellular processes, such as cellular metabolism, growth, differentiation, signal transduction, and gene regulation. Mass spectrometry, which acts as an automated and sensitive method, enables global analysis of protein phosphorylation. However, several technical challenges need to be addressed when analyzing protein phosphorylation in a global manner.