Sour neuronal signalling attenuates macrophage mediated liver injury.

Background: Liver injury, a common pathophysiological basis of various liver diseases, is associated with inflammation. Hepatic nerves regulate inflammation. However, the specific signals that trigger inflammation and methods to treat inflammation by targeting nerves remain unknown.

An "EVs-in-ECM" mimicking system orchestrates transcription and translation of RUNX1 for in-situ cartilage regeneration.

The self-repair ability of articular cartilage is limited, which is one of the most difficult diseases to treat clinically. Kartogenin (KGN) induces chondrogenesis by regulating RUNX1 mRNA translation and the small molecule compound TD-198946 (TD) promotes chondrogenic differentiation of mesenchymal stem cells (MSCs) through increasing the transcription of RUNX1 mRNA. GelMA hydrogel and liposomes are respectively similar to the extracellular matrix (ECM) and extracellular vesicles (EVs).

Relationships Between Exercise Components and Social Anxiety Levels Among Chinese College Students.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety.

Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants' daily physical activity.

Construction of a Biomimetic Tubular Scaffold Inspired by Sea Sponge Structure: Sponge-Like Framework and Cell Guidance.

Engineering hollow fibers with precise surface microstructures is challenging; yet, essential for guiding cells alignment and ensuring proper vascular tissue function. Inspired by Euplectella sponges, a novel strategy to engineer biomimetic hollow fibers with spiral surface microstructures is developed. Using oxidized bacterial cellulose, bacterial cellulose, and polydopamine, a "brick-and-mortar" scaffold is created through precise shear control during microfluidic coaxial spinning.

Investigation of the static and dynamic brain network mechanisms in patients with rhegmatogenous retinal detachment based on independent component analysis.

Background: Previous neuroimaging studies have identified substantial structural and functional abnormalities in the brains of patients with rhegmatogenous retinal detachment (RRD). Nonetheless, there remains a paucity of comprehensive research on the alterations in functional connectivity (FC) within large-scale static and dynamic brain networks in these patients.

Methods: This study utilized independent component analysis (ICA) to investigate alterations in large-scale brain network FC in patients with RRD.

UBE2T/CDC42/CD276 signaling axis mediates brain metastasis of triple-negative breast cancer via lysosomal autophagy.

Background: Advanced triple-negative breast cancer (TNBC) is prone to brain metastasis (BrM). The precise molecular mechanism responsible for this phenomenon has not yet been completely established, so it is vital to comprehend the molecular mechanism behind it.

Methods: The protein chip analysis was conducted to identify any abnormal UBE2T protein expression in TNBC, especially BrM.

Fine-tuning phenoxy silyl scaffolds for the development of glutathione-responsive prodrugs and antibody-drug conjugates.

Silyl ether is particularly attractive for application in drug development for its easy preparation, non-toxicity and remarkable biocompatibility. Earlier studies relied on the use of intracellular acidic conditions to induce the cleavage of alkoxy silyl ethers. However, acidic conditions are not suitable to trigger the release of phenoxy silyl ethers, since they are more stable under acidic conditions compared with neutral conditions.

Targeting intracellular autophagic process for the treatment of post-stroke ischemia/reperfusion injury.

Cerebral ischemia/reperfusion (I/R) injury is an important pathophysiological condition of ischemic stroke that involves a variety of physiological and pathological cell death pathways, including autophagy, apoptosis, necroptosis, and phagoptosis, among which autophagy is the most studied. We have reviewed studies published in the past 5 years regarding the association between autophagy and cerebral I/R injury. To the best of our knowledge, this is the first review article summarizing potential candidates targeting autophagic pathways in the treatment of I/R injury post ischemic stroke.

Machine learning models for predicting postoperative peritoneal metastasis after hepatocellular carcinoma rupture: a multicenter cohort study in China.

Background: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the optimal model for this specific problem remains unclear.

Methods: Clinical data were collected and analyzed from 522 patients with ruptured HCC who underwent surgery at 7 different medical centers.

Integrated GelMA and liposome composite hydrogel with effective coupling of angiogenesis and osteogenesis for promoting bone regeneration.

In clinical scenarios, bone defects stemming from trauma, infections, degenerative diseases, or hereditary conditions necessitate considerable bone grafts. Researchers ardently focus on creating diverse biomaterials to expedite and enhance these intricate restorative processes. These biomaterials play a pivotal role in aiding osteogenesis and angiogenesis factors for reconstructing stable, fully developed bone tissue.

A universal strategy for smoothing deceleration in deep graph neural networks.

Graph neural networks (GNNs) have shown great promise in modeling graph-structured data, but the over-smoothing problem restricts their effectiveness in deep layers. Two key weaknesses of existing research on deep GNN models are: (1) ignoring the beneficial aspects of intra-class smoothing while focusing solely on reducing inter-class smoothing, and (2) inefficient computation of residual weights that neglect the influence of neighboring nodes' distributions. To address these weaknesses, we propose a novel Smoothing Deceleration (SD) strategy to reduce the smoothing speed rate of nodes as information propagates between layers, thereby mitigating over-smoothing.

Recent Advances in Porphyrin-Based Covalent Organic Frameworks for Synergistic Photodynamic and Photothermal Therapy.

Porphyrin's excellent biocompatibility and modifiability make it a widely studied photoactive material. However, its large π-bond conjugated structure leads to aggregation and precipitation in physiological solutions, limiting the biomedical applications of porphyrin-based photoactive materials. It has been demonstrated through research that fabricating porphyrin molecules into nanoscale covalent organic frameworks (COFs) structures can circumvent issues such as poor dispersibility resulting from hydrophobicity, thereby significantly augmenting the photoactivity of porphyrin materials.

Fixation of Expression Divergences by Natural Selection in Coding Genes.

Functional divergences of coding genes can be caused by divergences in their coding sequences and expression. However, whether and how expression divergences and coding sequence divergences coevolve is not clear. Gene expression divergences in differentiated cells and tissues recapitulate developmental models within a species, while gene expression divergences between analogous cells and tissues resemble traditional phylogenies in different species, suggesting that gene expression divergences are molecular traits that can be used for evolutionary studies.

Revealing and mitigating the inhibitory effect of serotonin on HRP-mediated protein labelling.

Proximity-dependent biotinylation coupled with mass spectrometry enables the characterization of subcellular proteomes. This technique has significantly advanced neuroscience by revealing sub-synaptic protein networks, such as the synaptic cleft and post-synaptic density. Profiling proteins at this detailed level is essential for understanding the molecular mechanisms of neuronal connectivity and transmission.

A bibliometric analysis of mental health among high school students.

Background: In recent years, with the increase in academic pressure and changes in social environment, especially after the outbreak of COVID-19, there has been a significant impact on the mental health of high school students. This trend, which is concerning, requires a systematic bibliometric analysis to develop effective preventive and remedial measures.

Objective: This study aims to identify and analysis the research hotspots, frontiers and emerging trends in the field of high school students' mental health over the past two decades using CiteSpace software.

Ultrafast Self-Gelling, Adhesive, Anti-Bacterial Coacervate-Based Powders for Enhanced Hemostasis and Wound Healing.

Uncontrolled hemorrhage, especially in non-compressible and deep wounds, remains a critical issue in emergency and surgical care. Existing hemostatic powders often lack rapid gelation, mechanical robustness, and adequate adherence, increasing the risk of rebleeding under high-pressure blood flow. To address these limitations, PQPP, a novel self-gelling hemostatic material composed of polyacrylamide/quaternized chitosan coacervates and polydopamine nanoparticles is developed.

Activation of glycolysis alleviates mitochondrial impairments caused by social isolation in Drosophila.

Social isolation (SI) in humans can lead to various psychological and physical abnormalities. However, the molecular mechanisms and potential drug treatments for this illness are not well understood. Drosophila, a social organism, exhibits distinct behavioral defects under SI conditions, such as reduced sleep and loss of sugar intake preference.

Loss of PII-dependent control of arginine biosynthesis in Dunaliella salina.

In cyanobacteria and most Archaeplastida, Arg regulates its formation via allosteric inhibition of the controlling enzyme, N-acetyl-L-glutamate kinase (NAGK) that requires PII protein to properly sense the feedback inhibitor. Although PII expression has been shown to be reduced in Dunaliella salina compared to other green algae, the potential impact of this protein on DsNAGK activity remains unclear. We here performed coupled enzyme assay and surface plasmon resonance analysis and show that DsNAGK is activated by NAG and inhibited by Arg but is not controlled by DsPII.

Semaphorin 5A promotes Th17 differentiation via PI3K-Akt-mTOR in systemic lupus erythematosus.

Background: Previously, we reported that serum Semaphorin 5 A (Sema5A) levels were increased in systemic lupus erythematosus (SLE) patients compared with healthy controls (HC), and elevated Sema5A correlated with disease activity and lupus nephritis in SLE patients. In this study, we aimed to further understand the role of Sema5A in promoting Th17 cells differentiation in SLE.

Methods: Sema5A, interferon gamma (IFN-γ), interleukin 4 (IL-4), interleukin 17 A (IL-17 A) and interleukin 10 (IL-10) were measured by Enzyme Linked Immunosorbent Assay (ELISA).

A protocol for identifying universal reference genes within a genus based on RNA-Seq data: a case study of poplar stem gene expression.

Real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) plays a crucial role in relative gene expression analysis, and accurate normalization relies on suitable reference genes (RGs). In this study, a pipeline for identifying candidate RGs from publicly available stem-related RNA-Seq data of different species under various developmental and abiotic stress conditions is presented. DESeq2's median of ratios yielded the smallest coefficient of variance (CV) values in a total of 292 RNA-Seq samples and was therefore chosen as the method for sample normalization.

Metformin inhibits migration and epithelial-to-mesenchymal transition in non-small cell lung cancer cells through AMPK-mediated GDF15 induction.

The growth differentiation factor 15 (GDF15) may serve as a biomarker of metformin, which mediates the bodyweight lowering effect of metformin. However, whether GDF15 also serves as a molecular target of metformin to inhibit carcinogenesis remains largely unknown. This study examined the role and molecular mechanisms of GDF15 in the anticancer effects of metformin in non-small cell lung cancer (NSCLC) cells, which has never been reported before.

All-Aqueous Embedded 3D Printing for Freeform Fabrication of Biomimetic 3D Constructs.

All-aqueous embedded 3D printing, which involves extruding inks in an aqueous bath, has emerged as a transformative platform for the freeform fabrication of 3D constructs with precise control. The use of a supporting bath not only enables the printing of arbitrarily designed 3D constructs but also broadens ink selection for various soft matters, advancing the wide application of this technology. This review focuses on recent progress in the freeform preparation of 3D constructs using all-aqueous embedded 3D printing.

Evaluation method and design of greenhouse pear pollination drones based on grounded theory and integrated theory.

Greenhouse cultivation promotes an efficient and environmentally friendly agricultural production model, significantly enhancing resource sustainability and advancing sustainable agriculture. Traditional greenhouse pollination methods are inefficient and labor-intensive, limiting the economic benefits of greenhouse pear cultivation. To improve pollination efficiency and achieve fully automated mechanized operations, an innovative design method for greenhouse pear pollination drones has been developed.

A prospective study examining the value of three-dimensional transvaginal ultrasonography during the diagnosis and evaluation of Asherman syndrome.

Research Question: What is the value of three-dimensional (3D) transvaginal ultrasonography (TVS) in the diagnosis and assessment of Asherman syndrome?

Design: This was a prospective study conducted at a hysteroscopy centre.

Results: A total of 685 participants were recruited, 65 dropped out and 620 were finally enrolled and analysed. The overall sensitivity, specificity and accuracy of 3D-TVS in the diagnosis of Asherman syndrome were 95.

Aberrant dynamic functional and effective connectivity changes of the primary visual cortex in patients with retinal detachment via machine learning.

Objective: Previous neuroimaging studies have identified significant alterations in brain functional activity in retinal detachment (RD) patients, these investigations predominantly concentrated on local functional activity changes. The potential directional alterations in functional connectivity within the primary visual cortex (V1) in RD patients remain to be elucidated.

Methods: In this study, we employed seed-based functional connectivity analysis along with Granger causality analysis to examine the directional alterations in dynamic functional connectivity (dFC) within the V1 region of patients diagnosed with RD.