Breast cancer (BC) is one of the most prevalent malignant tumors affecting women worldwide, with its incidence rate continuously increasing. As a result, treatment strategies for this disease have received considerable attention. Research has highlighted the crucial role of the Hedgehog (Hh) signaling pathway in the initiation and progression of BC, particularly in promoting tumor growth and metastasis. Therefore, molecular targets within this pathway represent promising opportunities for the development of novel BC therapies. This study aims to elucidate the therapeutic mechanisms by which natural compounds modulate the Hh signaling pathway in BC. By conducting a comprehensive review of various natural compounds, including polyphenols, terpenes, and alkaloids, we reveal both common and unique regulatory mechanisms that influence this pathway. This investigation represents the first comprehensive analysis of five distinct mechanisms through which natural compounds modulate key molecules within the Hh pathway and their impact on the aggressive behaviors of BC. Furthermore, by exploring the structure-activity relationships between these compounds and their molecular targets, we shed light on the specific structural features that enable natural compounds to interact with various components of the Hh pathway. These novel insights contribute to advancing the development and clinical application of natural compound-based therapeutics. Our thorough review not only lays the groundwork for exploring innovative BC treatments but also opens new avenues for leveraging natural compounds in cancer therapy.

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective To explore the mechanism of Shengmai Decoction in improving heart failure by regulating mitochondrial apoptosis based on network pharmacology and experimental verification;To provide a basis for its clinical application.Methods The active components and targets of Shengmai Decoction were obtained through TCMSP and TCMID databases.Heart failure and mitochondrial apoptosis related targets were retrieved from GeneCards,OMIM,DrugBank,PharmGKB and TTD databases.A protein-protein interaction(PPI)network at the intersection of drugs and diseases was constructed using the STRING database,and a component-target network was constructed using Cytoscape 3.8.2 software.GO and KEGG pathway enrichment analysis was performed on intersecting targets using the DAVID database.Molecular docking was conducted to assess the binding affinity of key components to core target proteins.A rat model of heart failure was established,and the cardiac function of rats were detected by echocardiogram,ELISA was used to detect serum contents of BNP and NT-proBNP,mitochondrial ultrastructure was observed by transmission electron microscope,and Western blot was used to detect protein expressions of Bcl-2/Bax/Caspase-3 signaling pathway.Results A total of 66 active components and 146 targets of Shengmai Decoction were identified,and 22 intersecting targets with heart failure and mitochondrial apoptosis,including key proteins such as TNF,Bcl-2,Bax and Caspase-3.GO enrichment analysis revealed that the intersecting targets were closely associated with inflammation and cell signaling,while KEGG pathway analysis showed that the targets were primarily involved in the TNF signaling pathway,IL-17 signaling pathway,and mitochondrial function regulation.Molecular docking results indicated that Ginsenoside rh2,Beta-sitosterol and other components of Shengmai Decoction exhibited strong binding affinities with Bcl-2,Bax and Caspase-3.Animal experiments demonstrated that Shengmai Decoction significantly improved cardiac function(P<0.05,P<0.01),reduced serum BNP and NT-proBNP contents(P<0.01),alleviated mitochondrial damage,and inhibited mitochondrial apoptosis by upregulating Bcl-2 and downregulating Bax and Caspase-3 protein expression(P<0.01),thereby protecting cardiomyocytes.Conclusion Shengmai Decoction can target and regulate the Bcl-2/Bax/Caspase-3 signaling pathway,improving pathological processes associated with heart failure,which can provide a foundation for clinical optimization of Shengmai Decoction.

Breast cancer(BC)is one of the most prevalent malignant tumors affecting women worldwide,with its incidence rate continuously increasing.As a result,treatment strategies for this disease have received considerable attention.Research has highlighted the crucial role of the Hedgehog(Hh)signaling pathway in the initiation and progression of BC,particularly in promoting tumor growth and metastasis.There-fore,molecular targets within this pathway represent promising opportunities for the development of novel BC therapies.This study aims to elucidate the therapeutic mechanisms by which natural com-pounds modulate the Hh signaling pathway in BC.By conducting a comprehensive review of various natural compounds,including polyphenols,terpenes,and alkaloids,we reveal both common and unique regulatory mechanisms that influence this pathway.This investigation represents the first comprehen-sive analysis of five distinct mechanisms through which natural compounds modulate key molecules within the Hh pathway and their impact on the aggressive behaviors of BC.Furthermore,by exploring the structure-activity relationships between these compounds and their molecular targets,we shed light on the specific structural features that enable natural compounds to interact with various components of the Hh pathway.These novel insights contribute to advancing the development and clinical application of natural compound-based therapeutics.Our thorough review not only lays the groundwork for exploring innovative BC treatments but also opens new avenues for leveraging natural compounds in cancer therapy.

Identifying drug-drug interactions(DDIs)is essential to prevent adverse effects from polypharmacy.Although deep learning has advanced DDI identification,the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits.Here,we developed a Multi-Dimensional Feature Fusion model named MDFF,which integrates one-dimensional simplified molec-ular input line entry system sequence features,two-dimensional molecular graph features,and three-dimensional geometric features to enhance drug representations for predicting DDIs.MDFF was trained and validated on two DDI datasets,evaluated across three distinct scenarios,and compared with advanced DDI prediction models using accuracy,precision,recall,area under the curve,and F1 score metrics.MDFF achieved state-of-the-art performance across all metrics.Ablation experiments showed that integrating multi-dimensional drug features yielded the best results.More importantly,we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs.Among 12 real-world adverse drug reaction reports,the predictions of 9 reports were supported by relevant evidence.Additionally,MDFF demon-strated the ability to explain adverse DDI mechanisms,providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective To assess the potential role of disulfidptosis-related genes (DRGs) in pan-cancer on prognosis and immunity on the basis of bioinformatics approaches. Methods Pan-cancer RNA-seq data, mutation profiles, clinical information, TMB, MSI, stemness scores, and tumor and immune microenvironment data contained in TCGA and various open-source online databases, and multi-group R-language algorithms were used for comprehensive analysis. The expression levels of DRGs at the cellular level were experimentally validated using qPCR. Results LRPPRC, NCKAP1, NDUFS1, and NUBPL had a better prognosis in renal clear cell carcinoma (P<0.001), whereas SLC7A11, NCKAP1, and SLC3A2 had a worse prognosis in hepatocellular carcinoma (P<0.001). TME analysis showed that LRPPRC was negatively correlated with immune cells, stromal cells, and estimated scores in all tumor types. TMB analysis revealed the potential research value of DRGs for PD-1/PD-L1 therapy in pan-cancer. Drug sensitivity analysis showed that SLC7A11 (r=0.454), SLC3A2 (r=0.366), and NCKAP1 (r=0.455) were significantly associated with Kahalide F (P<0.01). Experimental validation demonstrated the overall higher expression levels of GYS1 and NCKAP1 than normal cells in lung adenocarcinoma, colon adenocarcinoma, esophageal squamous carcinoma, and hepatocellular carcinoma (P<0.05). Conclusion Pan-cancer analysis of DRGs indicates that DRGs may serve as important biomarkers for the diagnosis and prognosis of renal clear-cell carcinoma, lung adenocarcinoma, and hepatocellular carcinoma.

With the continuous development of China's aging society and the prevalence of unhealthy lifestyles, the incidence of cardiovascular disease in China has been increasing in recent years. Among them, atrial fibrillation (AF) is the most common arrhythmia disease. In recent years, pulsed field ablation (PFA) has been continuously applied to AF treatment as a novel treatment. This paper first introduces the principle of PFA applied to AF treatment, and introduces the research progress of PFA in different directions, such as the comparison of different ablation methods, the study of physical parameters, the study of ablation area, the study of tissue specificity and clinical research. Then, the clinical prior research of PFA is discussed, including the use of simulation software to obtain the simulation effect of different parameters, the evaluation of ablation effect during animal research, and finally the current AF treatment. Various prior studies and clinical studies are summarized, and suggestions are made for the shortcomings found in the study of AF treatment and the future research direction is prospected.

Objective:To evaluate the functional outcomes and postoperative complications associated with modified Toupet-like (mToupet-like) anastomosis following proximal gastrectomy for patients with gastric tumors.Methods:After proximal gastrectomy, barbed sutures (2-3 stitches) in the seromuscular layer were used to secure the anterior wall of the stomach at a distance of 1-2 cm from the closure line and the posterior wall of the esophagus at a distance of 5.0 cm from the closure line. The remnant stomach was then positioned posterior to the esophagus on the greater curvature side. Esophagogastric anterior wall anastomosis (manual or circular stapling) was performed at the greater curvature of the remnant stomach, 3 cm distal to the gastroesophageal fixation point. A Toupet-like folding procedure was conducted by folding the reconstructed gastric fundus and wall anteriorly from behind the esophagus and embedding the esophagus within a 270° wrap at the site of stomach-esophagus fixation.Results:Twelve patients with gastric tumors underwent proximal partial gastrectomy with mToupet-like anastomosis in the Department of Gastric Surgery at Zhejiang Cancer Hospital from January to March 2024. Among them, 10 diagnosed as upper gastric adenocarcinoma, and 2 diagnosed as gastric gastrointestinal stromal tumors. The cohort included nine male patients and three female patients, aged 46 to 77 years old, with a body mass index (BMI) ranging from 19.7 to 27.3 kg/m2. The maximum tumor diameter was less than 4 cm, and the predicted residual gastric volume exceeded one-half. Laparoscopic surgery was performed in 11 patients, while only 1 patient underwent open surgery. The mean duration of mToupet-like anastomosis was 48.3±8.7 minutes with an estimated intraoperative blood loss was 53.0±11.2 ml. All the 12 patients successfully achieved R0 resection. Among these patietns, the median postoperative hospital stay was 8.5 (7.0, 11.0) days, and the average hospitalization cost was 5.0±0.2 ten thousand yuan. No Clavien-Dindo grade II or higher complications were observed during the perioperative period. Patients were followed up for 6 to 8 months after operation, and no cases of reflux esophagitis were detected by gastroscopy, and no patient required long-term oral proton pump inhibitors.Conclusions:mToupet-like anastomosis for digestive tract reconstruction after proximal gastrectomy is a safe and feasible technique, demonstrating favorable preliminary efficacy.

The development of classical anatomical liver resection has been a topic of considerable debate,particularly regarding its oncological efficacy in treating hepatocellular carcinoma.With continuous advancements in surgical techniques and iterative improvements in minimally invasive surgical equipment,laparoscopic portal territory anatomical resection(LPTAR)has gradually been adopted in clinical practice.Unlike classical anatomical liver resection,which approximates liver segmentectomy based on Couinaud's segmentation,LPTAR integrates technologies such as preoperative 3D visualization and intraoperative indocyanine green fluorescence navigation to target the true portal venous territory.Its core principle lies in achieving"precise liver segmentectomy"of the tumor-bearing portal venous territory.Currently,LPTAR is undergoing rapid development but faces several technical challenges,including the precise identification and control of hepatic pedicles,effective staining of difficult liver segments,and management of anatomical variations.Establishing standardized and streamlined technical protocols is crucial to addressing these issues,as it will improve surgical completeness and safety while enhancing oncological outcomes.Precision liver resection has long been a pursuit of surgeons,and laparoscopic liver resection,led by LPTAR,is poised to make a lasting impact in the field of precision hepatic surgery.

Objective::This study aimed to investigate the feasibility, efficacy, and safety of using a miniature mobile integrated cabin-theatre equipped with angiography and surgical operating room capabilities, and to explore its therapeutic scope, effectiveness, and operational mode.Methods::A miniature mobile integrated operating cabin-theatre was deployed across 15 hospitals in 15 cities or counties in China from April 2012 to November 2024. The interventions and outcomes of interventional and minimally invasive surgical procedures were prospectively observed and evaluated; perioperative complications were documented, and the stability, adaptability, and mobility of the integrated system were assessed.Results::A total of 133 procedures were successfully performed, 130 of which were interventional and 3 minimally invasive. The angiography machine showed good imaging performance without any equipment failures, loosening, or damage, with normal chamber unfolding. One patient experienced a fever the day after laparoscopy, while none of the other patients exhibited perioperative complications such as infection, surgical site bleeding/hematoma, or reperfusion arrhythmia. The instrument was easily manipulated, aligning with the needs of clinical intervention and surgery, and was perceived by patients as being a comfortable environment, with no psychological or other obvious discomfort.Conclusions::The miniature mobile integrated cabin-theatre, comprising an angiography machine and an operating room, allows interventional or minimally invasive surgical procedures to be performed smoothly and safely. It can also provide rapid and efficient on-site treatment of acute and critical illnesses across multiple body systems, including the cardiovascular, cerebrovascular, and gastrointestinal systems.