ObjectiveTo investigate the inhibitory effect of gingerol， an active component of ginger， on Staphylococcus aureus （S. aureus） infection， and to preliminarily explore its mechanism related to extracellular vesicles （EVs）. MethodsS.aureus infection models were established in human umbilical vein endothelial cell （HUVECs）， Vero E6 cells， and C57BL/6 mice. Experimental groups included control， infection， and gingerol-treated groups. Bacterial load and VE-cadherin protein expression were detected using immunofluorescence and Western blot. EVs were isolated by size exclusion chromatography and characterized by transmission electron microscopy and nanoparticle tracking analysis. miRNA sequencing was performed on EVs. ResultsGingerol treatment significantly reduced the bacterial load in both in vitro and in vivo infection models and upregulated VE-cadherin expression. miRNA sequencing of EVs revealed that S. aureus infection upregulated the expression of hsa-miR-320c， while gingerol treatment reversed this abnormal expression. Bioinformatic analysis further predicted that the target genes of hsa-miR-320c were significantly enriched in cell junction-related pathways. ConclusionGingerol exhibits clear antibacterial and host-protective effects， by regulating hsa-miR-320c in EVs to maintain endothelial barrier integrity.

Farrerol is a dihydroflavone compound extracted from the dried leaves of Rhododendron dauricum belonging to the Ericaceae family. This article systematically reviews relevant research on farrerol both domestically and internationally， summarizes its pharmacological activities and mechanisms of action， and finds that it exerts cardiovascular and cerebrovascular protective effects by maintaining the homeostasis of vascular endothelial function and inhibiting vascular intimal hyperplasia； exerts renal protective effects by activating the nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway to reduce renal damage； exerts liver protective effects by inhibiting the phosphatidylinositol 3-kinase/protein kinase B signaling pathway， activating the Nrf2 signaling pathway， improving insulin resistance， and reducing lipid deposition in the liver； exerts neuroprotective effects by activating the Nrf2/Keap1 signaling pathway， inhibiting the Toll-like receptor 4 and cyclic GMP-AMP synthase/stimulator of interferon genes signaling pathways to reduce neuroinflammatory damage； exerts bone protective effects by promoting tendon formation and inhibiting osteoclast differentiation； exerts antitumor effects by inducing tumor cell apoptosis and weakening tumor cell invasion and metastasis； and exerts antibacterial effects by downregulating α -toxin expression， interfering with β -lactamase/penicillin-binding protein 2a （PBP2a）， and inhibiting PBP2a oligomerization. Currently， research on the pharmacological effects of farrerol is still mainly focused on animal and cell experiments. Further mechanistic studies and clinical trials are needed to provide theoretical basis for its new drug development and clinical application.

Farrerol is a dihydroflavone compound extracted from the dried leaves of Rhododendron dauricum belonging to the Ericaceae family. This article systematically reviews relevant research on farrerol both domestically and internationally， summarizes its pharmacological activities and mechanisms of action， and finds that it exerts cardiovascular and cerebrovascular protective effects by maintaining the homeostasis of vascular endothelial function and inhibiting vascular intimal hyperplasia； exerts renal protective effects by activating the nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway to reduce renal damage； exerts liver protective effects by inhibiting the phosphatidylinositol 3-kinase/protein kinase B signaling pathway， activating the Nrf2 signaling pathway， improving insulin resistance， and reducing lipid deposition in the liver； exerts neuroprotective effects by activating the Nrf2/Keap1 signaling pathway， inhibiting the Toll-like receptor 4 and cyclic GMP-AMP synthase/stimulator of interferon genes signaling pathways to reduce neuroinflammatory damage； exerts bone protective effects by promoting tendon formation and inhibiting osteoclast differentiation； exerts antitumor effects by inducing tumor cell apoptosis and weakening tumor cell invasion and metastasis； and exerts antibacterial effects by downregulating α -toxin expression， interfering with β -lactamase/penicillin-binding protein 2a （PBP2a）， and inhibiting PBP2a oligomerization. Currently， research on the pharmacological effects of farrerol is still mainly focused on animal and cell experiments. Further mechanistic studies and clinical trials are needed to provide theoretical basis for its new drug development and clinical application.

Objective: To develop an automated platelet instance segmentation method for high-throughput structured illumination microscopy (SIM) data, with the goal of improving segmentation accuracy in wide-field bright-field images. Methods: Bright-field images were used as input to build a YOLOv11-based unified detection-and-segmentation network, trained and inferred with a standardized annotation format. The network consists of a backbone for feature extraction, an improved PAFPN neck for multi-scale feature fusion, and a joint detection/segmentation prediction head, enhancing representation of small targets and crowded scenes. Training was initialized with pretrained weights, using an input resolution of 1 024×1 024 for 200 epochs with a batch size of 4 and automatic mixed precision enabled. Pixels outside the 1st and 99th grayscale percentiles were clipped and linearly mapped to 8-bit intensity values. Data augmentation included flipping, rotation, translation, and scaling. The loss function combined binary cross-entropy loss and Dice loss. Results: In five-fold cross-validation on the gastric cancer dataset, YOLOv11-m achieved balanced precision and recall, with an mAP50-95 of 0.848. Compared with Mask R-CNN, YOLOv8-m, YOLOv9-c, and YOLO26-m, it used a smaller model size and achieved a total processing time of 14.85 ms per image. When directly transferred to validation sets of cholangiocarcinoma, hepatocellular carcinoma, liver cirrhosis, and ovarian cancer, the model maintained stable detection and segmentation performance, indicating good generalization across data sources and imaging variations. Conclusion: The proposed method enables high-throughput, robust platelet instance segmentation and effectively handles challenging bright-field scenarios involving small targets, dense distributions, and local overlaps. By balancing segmentation accuracy and inference efficiency, it serves as a reliable preprocessing component in automated platelet image-analysis pipelines.

OBJECTIVES: To investigate the role of circular RNA circ_0000437 in regulating biological behaviors of breast cancer cells and the molecular mechanism. METHODS: Breast cancer MCF-7 and MDA-MB-231 cells were transfected with sh-circ_0000437, mimics, inhibitor, si-CTPS1, or their respective negative controls. qRT-PCR was used to detect the expression levels of circ_0000437, let-7b-5p, CTPS1, Notch1, Hes1, and Numb in breast cancer cell lines and tissues. RNase R digestion was used to confirm the circular structure of circ_0000437 and its subcellular localization in the breast cancer cells was determined by cellular distribution analysis. The changes in proliferation, invasion and migration of the transfected cells were assessed using CCK-8 assay, Transwell assay and scratch assay. Dual-luciferase reporter gene and RNA immunoprecipitation assays were employed to validate binding interactions among circ_0000437, let-7b-5p, and CTPS1. The cellular expressions of CTPS1, E-cadherin, N-cadherin, and vimentin proteins were detected with Western blotting. A tumor-bearing mouse model was used to verify the oncogenic mechanism of circ_0000437 and CTPS1. RESULTS: Circ_0000437 and CTPS1 were upregulated while let-7b-5p was downregulated in breast cancer tissues and cell lines. Circ_0000437 or CTPS1 knockdown obviously suppressed breast cancer cell proliferation, invasion, migration and epithelial-mesenchymal transition (EMT). Overexpression of let-7b-5p produced similar inhibitory effects, whereas inhibition of let-7b-5p significantly enhanced malignant behaviors of the cells. In the tumor-bearing mouse models, circ_0000437 knockdown significantly suppressed tumor growth, but co-transfection of the cells with pcDNA-CTPS1 accelerated tumor growth. Binding sites were identified between circ_0000437 and let-7b-5p and between let-7b-5p and CTPS1, and circ_0000437, let-7b-5p, and CTPS1 showed functional interactions in breast cancer cells. CONCLUSIONS Circ_0000437 is upregulated in breast cancer tissues and cells, and its high expression promotes proliferation, invasion, migration and EMT of breast cancer cells through the let-7b-5p/CTPS1 axis.
Humans ; Epithelial-Mesenchymal Transition ; Cell Proliferation ; MicroRNAs/metabolism* ; RNA, Circular ; Breast Neoplasms/metabolism* ; Cell Movement ; Female ; Neoplasm Invasiveness ; Cell Line, Tumor ; MCF-7 Cells ; Animals ; Mice

Objective:To evaluate the effects and underlying mechanisms of metabolites derived from the kidney-reinforcing, blood circulation-activating, and collateral dredging decoction on the proliferation of multiple myeloma (MM) KM3 cells.Methods:MM KM3 cells in the logarithmic growth phase were treated with 3%, 6%, 9%, or 12% metabolites of kidney-reinforcing, blood circulation-activating, and collateral dredging decoction. Cell viability was assessed using the CCK-8 assay. Apoptosis and necrosis were evaluated using flow cytometry and TUNEL staining. Mitochondrial and cellular ultrastructural changes were examined using transmission electron microscopy. mRNA and protein expression levels of dynamin-related protein 1 (Drp1), mitochondrial fission protein 1 (Fis1), mitochondrial fission factor (MFF), PTEN-induced kinase 1 (Pink1), and E3 ubiquitin ligase (Parkin) were determined through quantitative real-time PCR and western blotting. High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) combined with network pharmacology, was utilized for reverse verification of the pharmacodynamic mechanisms and therapeutic targets underlying the anti-MM activity of this decoction.Results:The metabolites of the kidney-reinforcing, blood circulation-activating, and collateral dredging decoction inhibited KM3 cell proliferation and induced apoptosis in a dose-dependent manner. Transmission electron microscopy revealed increased mitochondrial fission and autophagic structures, with effects intensifying at higher metabolite concentrations. mRNA and protein expression of Drp1, Fis1, MFF, Pink1, and Parkin were significantly upregulated in treatment groups compared to controls ( P<0.05), with the most pronounced effects observed in the 12% metabolite group ( P<0.01). HPLC-MS/MS identified 121 bioactive compounds in BHTF, which shared 474 overlapping targets with MM. Enrichment analysis suggested that BHTF exerts antitumor effects primarily through apigenin, palmatine, and other key components by modulating TNF, NF-κB, and mitophagy pathways. Conclusion:The kidney-reinforcing and blood circulation-activating and collateral dredging decoction suppresses the proliferation of MM KM3 cells, potentially through mechanisms involving the regulation of mitochondrial dynamics and induction of autophagy.

Objective:To investigate the potential causal relationships between gut microbiota composition and the risk of developing various subtypes of breast cancer by using bidirectional two-sample Mendelian randomization(MR).Methods:The research utilized genome-wide association studies(GWAS) data on gut microbiota from the MiBioGen database and GWAS data on breast cancer from the Breast Cancer Association Consortium (BCAC). In this MR study, inverse variance weighted (IVW), weighted median, MR Egger, and MR-PRESSO methods were used. Additionally, reverse MR and stratified analyses were conducted to assess reverse causality and the impact on different subtypes of breast cancer.Results:Adlercreutzia (IVW OR=0.92, 95% CI: 0.87-0.98, P=0.01) and Parabacteroides (IVW OR=0.87, 95% CI: 0.79-0.96, P=0.007) exhibited a statistically significant protective effect on breast cancer. Conversely, Sellimonas (IVW OR=1.05, 95% CI: 1.01-1.09, P=0.01) was significantly associated with an increased risk of breast cancer. Desulfovibrio (IVW OR=0.94, 95% CI: 0.88-1.00, P=0.04) and Ruminococcaceae (UCG013) (IVW OR=0.92, 95% CI: 0.86-0.99, P=0.03) presented suggestive protective effects against breast cancer. Furthermore, stratified analysis revealed that the protective effect of Adlercreutzia against breast cancer persisted in the estrogen receptor(ER)-positive subtypes, while Desulfovibrio persisted in the ER-negative subtypes. Sellimonas was causally associated with the risk of ER-positive subtypes. CACNA1S was identified as the functional gene of Adlercreutzia, and associated with favorable prognosis in breast cancer, while ERBB4 was identified as the functional gene of Sellimonas and associated with poor prognosis in breast cancer. Conclusions:This study identifies the causal relationships between gut microbiota and breast cancer, suggesting a novel target for early clinical intervention and treatment, with potential implications for future functional analysis.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Epileptogenesis is a dynamic process of gradual progression from normal developing brain to pathological epileptic brain， which is the latent and budding stage of epilepsy. Combining the understanding of epileptogenesis in children from Western medicine and traditional Chinese medicine （TCM）， we proposed that the viewpoints of constitutional transformation， phlegm pathogen inducing epilepsy， and brain collateral damage， which correspond to key pathological mechanisms， namely gene polymorphism， immunoinflammation， and microvascular dysfunction of the blood-brain barrier， respectively. Based on these insights， strategies for prevention and treatment of epileptogenesis in children， as well as potential research directions are explored.