This consensus focuses on the clinical application of domestic ultra-high-definition (UHD) medical endoscopes in cardiovascular surgery, addressing their clinical value, key technical aspects, and strategies for broader implementation. It traces the evolution of domestic endoscopic platforms from high-resolution imaging toward integrated advanced functionalities such as fluorescence imaging, three-dimensional visualization, and intelligent assistance. The document outlines standardized procedural steps and perioperative management pathways for minimally invasive endoscopic cardiovascular surgery and summarizes specific application scenarios and technical considerations in congenital heart disease, valvular disorders, coronary artery disease, arrhythmias, and cardiac tumors. Furthermore, recommendations are provided regarding professional training, multicenter collaboration, the establishment of clinical evaluation systems, and coordinated policy-industry support to promote standardized adoption and high-quality dissemination of domestic medical devices. Based on available evidence and expert agreement, 16 consensus statements are presented, aiming to offer authoritative and actionable guidance for clinical practice.

With the aging population and the widespread implementation of lung cancer screening programs, an increasing number of elderly patients are undergoing curative lung resection. Due to diminished physiological reserve and complex comorbidities, this demographic exhibits a significantly higher incidence of severe perioperative complications (defined as Clavien-Dindo grade≥Ⅲ), which adversely affects both perioperative safety and long-term prognosis. In recent years, the research paradigm has shifted from univariate analysis toward multidimensional risk integration and the development of predictive models. This article systematically reviews the key risk factors for severe perioperative complications in elderly lung cancer patients, encompassing biological aging processes, frailty and sarcopenia, cardiopulmonary and renal functional reserves, inflammatory-immune and coagulation status, and perioperative interventions. Furthermore, it traces the evolution of risk assessment tools from traditional regression models to machine learning models that integrate multimodal data. The review also discusses common challenges in this field, including the standardization of outcome definitions, external validation, calibration assessment, and clinical translation. Future efforts should prioritize the deep integration of predictive tools with clinical decision support systems to establish a closed-loop care pathway from risk identification to stratified intervention, thereby effectively reducing complication rates and enhancing surgical outcomes for elderly lung cancer patients.

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, characterized by poor prognosis due to its high proliferative and invasive potential. Tumor metabolic reprogramming, particularly involving glucose metabolism, is essential for tumor survival. This study investigates the role of the Hippo pathway effector transcriptional co-activator with PDZ-binding motif (TAZ) in regulating gluconeogenesis and promoting tumorigenesis in HCC. Methods: TAZ expression in HCC was analyzed using The Cancer Genome Atlas data and validated in clinical samples and cell lines. TAZ was overexpressed or silenced in HCC cell lines to evaluate its effects on cell proliferation, apoptosis, migration, and invasion. The expression and prognostic relevance of the gluconeogenesis-related genes phosphoenolpyruvate carboxykinase 1 (PCK1) and glucose-6-phosphatase (G6PC) were examined, along with their correlation with TAZ expression. Tumor growth was assessed in nude mice. Interactions between TAZ and the glucocorticoid receptor (GR) were investigated using co-immunoprecipitation, immunofluorescence, and chromatin immunoprecipitation assays. Results: TAZ was significantly upregulated in HCC tissues and cell lines. TAZ overexpression enhanced proliferation, reduced apoptosis, and promoted migration and invasion. In contrast, PCK1 and G6PC were downregulated in HCC and showed a negative correlation with TAZ expression. Conclusion TAZ modulates gluconeogenesis and accelerates tumor growth, whereas its knockdown attenuates tumor progression. TAZ interacts with GR, suppressing its transcriptional activity on gluconeogenic gene promoters.

Objective To investigate the effects of Xuetong capsule on blood lipids and liver lesion in hyperlipidemic model animals. Methods Sixty ICR mice were randomly divided into six groups. The normal control group was fed with normal diet, the other groups were fed with high-fat diet to induce hyperlipidemia. After four weeks feeding, the three groups were given low, middle, and high doses of Xuetong capsules （0.5, 1.0, and 2.0 g/kg） by gavage, and the positive drug control group was given atorvastatin calcium （1.5 mg/kg） by gavage. The model group was given solvent （0.5% carboxymethyl cellulose sodium）. After treatment for 8 weeks, the body weight, organ index, blood lipids, blood glucose and liver function index were measured. The liver oil red staining was used to determine the lipid droplet content, and quantitative PCR was used to detect the expression of inflammatory factors TNF-α, IL-6, and IL-1β. Results The body weight, the weight of liver and spleen were significantly increased by high-fat diet. High-fat diet increased the organ indexes of the liver and spleen, the degree of liver oil red staining, and also significantly increased the levels of glucose, triglyceride （TG）, cholesterol （CHOL）, and low-density lipoprotein cholesterol （LDL-C） in serum. Compared with the model group, the level of TG has no significant change in low, middle and high doses groups. The level of CHOL in serum was reduced by Xuetong capsule with a dose dependent manner. There were significant difference between the model group and middle, high doses groups. The results of LDL-C were similar, the level of LDL-C was significantly reduced by middle and high doses groups [middle dose (0.55±0.21) mmol/L, high dose (0.52±0.22) mmol/L vs (0.81±0.29) mmol/L in model group, P<0.05]. Compared with the normal control, there was no significant difference in HDL-C levels between the high-fat model and each drug-treated group. Liver function showed that Xuetong capsules significantly reduced the degree of liver oil red staining and decreased the level of alanine aminotransferase （ALT） induced by high-fat diet. The body weight, the weight and organ indexes of liver and spleen were significantly reduced by positive drug control group. The levels of CHOL, LDL-C, and TG, and the degree of liver oil red staining were also significantly reduced in positive drug control group. Further studies have shown that high dose of Xuetong capsules significantly reduced the expression of TNF-α and IL-6 induced by high-fat diet （P<0.05）, while the reduction of IL-1β was not so significant （P>0.05）. Conclusion Xuetong capsules significantly reduced the body weight of animals with high fat, liver size, fat deposition, inflammatory damage and also significantly reduced blood lipid CHOL and LDL-C levels and transaminase elevation. The above effects may be related to Xuetong capsules reducing the expression of inflammatory factors such as TNF-α and IL-6 in the liver.

Objective To investigate the effects of Xuetong capsule on blood lipids and liver lesion in hyperlipidemic model animals. Methods Sixty ICR mice were randomly divided into six groups. The normal control group was fed with normal diet, the other groups were fed with high-fat diet to induce hyperlipidemia. After four weeks feeding, the three groups were given low, middle, and high doses of Xuetong capsules （0.5, 1.0, and 2.0 g/kg） by gavage, and the positive drug control group was given atorvastatin calcium （1.5 mg/kg） by gavage. The model group was given solvent （0.5% carboxymethyl cellulose sodium）. After treatment for 8 weeks, the body weight, organ index, blood lipids, blood glucose and liver function index were measured. The liver oil red staining was used to determine the lipid droplet content, and quantitative PCR was used to detect the expression of inflammatory factors TNF-α, IL-6, and IL-1β. Results The body weight, the weight of liver and spleen were significantly increased by high-fat diet. High-fat diet increased the organ indexes of the liver and spleen, the degree of liver oil red staining, and also significantly increased the levels of glucose, triglyceride （TG）, cholesterol （CHOL）, and low-density lipoprotein cholesterol （LDL-C） in serum. Compared with the model group, the level of TG has no significant change in low, middle and high doses groups. The level of CHOL in serum was reduced by Xuetong capsule with a dose dependent manner. There were significant difference between the model group and middle, high doses groups. The results of LDL-C were similar, the level of LDL-C was significantly reduced by middle and high doses groups [middle dose (0.55±0.21) mmol/L, high dose (0.52±0.22) mmol/L vs (0.81±0.29) mmol/L in model group, P<0.05]. Compared with the normal control, there was no significant difference in HDL-C levels between the high-fat model and each drug-treated group. Liver function showed that Xuetong capsules significantly reduced the degree of liver oil red staining and decreased the level of alanine aminotransferase （ALT） induced by high-fat diet. The body weight, the weight and organ indexes of liver and spleen were significantly reduced by positive drug control group. The levels of CHOL, LDL-C, and TG, and the degree of liver oil red staining were also significantly reduced in positive drug control group. Further studies have shown that high dose of Xuetong capsules significantly reduced the expression of TNF-α and IL-6 induced by high-fat diet （P<0.05）, while the reduction of IL-1β was not so significant （P>0.05）. Conclusion Xuetong capsules significantly reduced the body weight of animals with high fat, liver size, fat deposition, inflammatory damage and also significantly reduced blood lipid CHOL and LDL-C levels and transaminase elevation. The above effects may be related to Xuetong capsules reducing the expression of inflammatory factors such as TNF-α and IL-6 in the liver.

While programmed cell death ligand 1 (PD-L1) inhibitors have yielded breakthroughs in tumor therapy, their efficacy is constrained by the heterogeneity of the tumor microenvironment and multiple immunosuppressive pathways. In recent years, research has revealed that transforming growth factor-β (TGF-β) synergistically drives tumor cell immune escape with PD-L1 via pathways such as metabolic reprogramming, epithelial-mesenchymal transition, and SOX family factors. Currently, various PD-L1/TGF-β bispecific antibodies (bsAbs) have exhibited promising therapeutic potential in early-phase clinical trials, yet they still confront challenges related to toxicity and drug resistance. This article systematically reviews the mechanisms by which PD-L1 and TGF-β synergistically regulate tumor immune escape, summarizes the clinical research progress of bsAbs, and discusses strategies for novel drug design and biomarker development, with the aim of offering new insights for the development of combined tumor immunotherapy strategies.

Background: Advances in intensive care have markedly improved survival after severe brain injury, leading to a growing population of patients with prolonged disorders of consciousness (pDOC). Current management of pDOC remains largely supportive, and evidence-based neuromodulatory interventions are limited; moreover, existing guidelines provide insufficiently explicit recommendations regarding mechanisms of action and objective biomarkers of treatment response. Transcutaneous auricular vagus nerve stimulation (taVNS) has emerged as a potential noninvasive intervention; however, its modulatory effects on brain function in pDOC are not yet well characterized, and the paucity of integrative mechanistic evidence has constrained its translation into routine clinical practice. Objectives: Within a multimodal assessment framework, this study aims to systematically elucidate the neurobiological mechanisms by which taVNS modulates brain function and autonomic activity in patients with pDOC, and to evaluate its clinical potential to enhance levels of consciousness. Methods: In this randomized controlled trial, 60 patients with vegetative state/minimally conscious state will be enrolled and randomly allocated to a taVNS group, a transcutaneous nonauricular vagus nerve stimulation group (sham), or a control group (n = 20 per group) for a 4-week intervention. The primary outcome will be changes in the Coma Recovery Scale-Revised scores from baseline to weeks 1, 2, and 4 of treatment. Secondary outcomes will include functional brain activity assessed by electroencephalography and functional near-infrared spectroscopy, as well as autonomic modulation indexed by heart rate variability. Functional prognosis will be evaluated using the Glasgow Outcome Scale-Extended at the end of treatment and at a 6-month follow-up. Safety will be assessed by continuous monitoring and documentation of adverse events throughout the study period. Results and discussion: By integrating electroencephalography–functional near-infrared spectroscopy with heart rate variability, this study will characterize the effects of taVNS on functional brain networks and consciousness recovery in pDOC across complementary behavioral, electrophysiological, hemodynamic, and autonomic domains, while interrogating potential sources of clinical and neurobiological heterogeneity. The findings are expected to provide a mechanistic and evidence-based foundation for the mechanism-driven clinical implementation of taVNS and the optimization of stimulation protocols in pDOC. Clinical trial registration: International Traditional Medicine Clinical Trial Registry, ITMCTR20250021041, https://itmctr.ccebtcm.org.cn.

ObjectiveTo analyze the epidemiological and clinical characteristics of the 21 confirmed monkeypox cases in a district of Chengdu City, and to provide scientific guidance for the prevention and control of subsequent monkeypox epidemics. MethodsData of confirmed monkeypox cases residing in this district were collected from the Disease Control and Prevention Information System of China. A retrospective descriptive epidemiological analysis was used to analyze the demographic, distributional and behavioral characteristics of the cases. ResultsThe first confirmed case of monkeypox was reported on July 5, 2023. Up to April 30, 2025, a total of 21 confirmed cases of monkeypox have been reported. All cases were male, with a mean age of (30.9±6.2) years. The highest proportion of cases(47.62%) was in the 30‒40 years age group. The majority were men who have sex with men (MSM) population (90.48%, 19/21). The results showed that 19.05% of cases were co-infected with HIV, and 19.05% had a history of syphilis infection. Within 21 days prior to symptom onset, 19 cases (90.48%) self-reported engaging in male-to-male sexual contact, among whom 10 cases (52.63%) reported having taken protective measures, while 9 cases (47.37%) did not take safety precautions. Thirteen cases (61.90%) had no travel history to areas with reported monkeypox cases during the 21 days before symptom onset. The predominant manifestation was exanthem (100%, 21/21), followed by fever (57.14%, 12/21) and lymphadenectasis (47.62%, 10/21). Among febrile cases, 50.00% (6/12) had low-grade fever (37.3‒38.0 ℃). All cases were identified through active medical consultation. The median interval from symptom onset to the first medical visit was 3 (2, 6) days, with a maximum interval of 14 days. The median interval from symptom onset to laboratory confirmation was 7 (5, 9) days. Six cases (28.57%) had two or more visits to the hospital, with bacterial infection being the primary initial diagnosis. ConclusionMonkeypox prevention and control efforts in a district of Chengdu City should prioritize MSM population and young and middle-aged adults aged 30 to <40 years. It is recommended to establish an integrated monkeypox epidemic prevention and control network by leveraging existing HIV/AIDS prevention and control network. Concurrently, accelerating the deployment of the national intelligent infectious disease monitoring and early warning front-end software will strengthen early detection capabilities and be beneficial for the overall effectiveness of epidemic prevention and control efforts.

Intervertebral disc degeneration (IVDD) is the predominant pathological contributor to chronic low back pain, a pervasive musculoskeletal condition affecting over 630 million people globally and imposing tremendous socioeconomic and public health burdens. The etiopathogenesis of IVDD is remarkably complex and multifactorial, involving intricate crosstalk among chronic inflammatory responses, extracellular matrix (ECM) catabolism, cellular senescence, aberrant programmed cell death (including apoptosis, pyroptosis, and ferroptosis), mitochondrial dysfunction, and oxidative damage. Compelling evidence indicates that the inflammatory microenvironment acts as a decisive driving force throughout the entire degenerative course of IVDD. Among the diverse inflammatory mediators, interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) serve as core pro-inflammatory cytokines that initiate and perpetuate the degenerative cascade. These two pivotal cytokines collectively activate an array of canonical intracellular signaling pathways, including nuclear factor-κB (NF-κB), mitogen-activated protein kinase (MAPK), nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) inflammasome, and the phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) cascade. Such interconnected signaling networks trigger a self-reinforcing positive feedback loop, which exacerbates inflammatory reactions, disrupts the anabolic-catabolic homeostasis of the ECM, promotes oxidative stress and mitochondrial injury, induces multiple forms of disc cell death, and ultimately leads to progressive structural collapse and functional deterioration of the intervertebral disc. Conventional therapeutic strategies, dominated by nonsteroidal anti-inflammatory drugs and surgical interventions, are limited by systemic adverse reactions, suboptimal long-term efficacy, and the risk of adjacent segment degeneration. In contrast, traditional Chinese medicine (TCM) exhibits prominent advantages in the prevention and treatment of IVDD by virtue of its holistic regulation, syndrome differentiation, and multi-component, multi-target, multi-pathway pharmacological properties. This review systematically elucidates the molecular mechanisms by which inflammation-associated signaling pathways modulate disc cell fate and ECM metabolic homeostasis, and comprehensively summarizes the experimental progress over the past five years on TCM monomers and compound formulas for intervening in IVDD. Accumulating studies have confirmed that numerous natural active ingredients isolated from herbal medicines (ferulic acid, mangiferin, paeonol, astragaloside IV) and representative TCM compound prescriptions (Bushen Huoxue Formula, Shensuitongzhi Formula, Fuzi Decoction) exert synergistic protective effects by coordinately targeting core signaling hubs. These TCM agents demonstrate potent anti-inflammatory, antioxidant, anti-apoptotic, anti-pyroptotic, anti-ferroptotic, ECM-protective, and autophagy-regulating bioactivities, thereby effectively decelerating the pathological progression of IVDD. Despite remarkable progress, current investigations are still confronted by several critical limitations. Most studies are restricted to validating the regulatory effects of single TCM components on individual signaling pathways, leaving the systematic, dynamic, and synergistic mechanisms of TCM compound formulas within multi-pathway regulatory networks largely unexplored. Furthermore, clinical translation of TCM is severely hampered by the lack of efficient targeted drug delivery systems, unclear pharmacokinetic profiles, suboptimal local bioavailability, and incomplete long-term safety assessments. Therefore, future research should adopt an interdisciplinary paradigm integrating multi-omics technologies, artificial intelligence, organoid models, and organ-on-chip systems to systematically decipher the scientific basis of TCM against IVDD. Concurrently, the development of intelligent, site-specific delivery systems (hydrogels, nanoparticles, exosome-based carriers) is urgently needed to enhance the local accumulation and sustained release of TCM ingredients. By deepening mechanistic exploration and accelerating translational research, TCM is expected to evolve into safe, effective, and personalized precision therapeutic regimens for IVDD, offering novel and reliable solutions for the clinical management of chronic low back pain.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.