ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.

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.

In the context of burgeoning economic trade, there has been a remarkable increase in the number of ships travelling between domestic and international ports. Inbound and outbound cargo ships, cruise liners, ferries, and other types of vessels have emerged as critical vehicles for the dispersal of vector organisms and the spread of infectious disease agents. Public health concerns associated with these vessels represent a significant threat to human welfare. In this paper, we comprehensively review the hazards posed by vector organisms on ships, the latest advances in prevention and control strategies, and proposes appropriate countermeasures. The aim is to provide effective guidance for the prevention and control of public health security issues caused by ship-borne vector organisms.

Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.

Clinical practice guidelines represent the best recommendations for patient care. They are developed through systematically reviewing currently available clinical evidence and weighing the relative benefits and risks of various interventions. However, clinical practice guidelines have to go through a long translation cycle from development and revision to clinical promotion and application, facing problems such as scattered distribution, high duplication rate, and low actual utilization. At present, the clinical practice guideline information platform can directly or indirectly solve the problems related to the lengthy revision cycles, decentralized dissemination and limited application of clinical practice guidelines. Therefore, this paper systematically examines different types of clinical practice guideline information platforms and investigates their corresponding challenges and emerging trends in platform design, data integration, and practical implementation, with the aim of clarifying the current status of this field and providing valuable reference for future research on clinical practice guideline information platforms.

ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

ObjectiveTo explore the protective effect and underlying mechanism of Gegen Qinliantang on cognitive function in db/db mice with diabetic cognitive impairment （DCI）. MethodsThirty-two 8-week-old male db/db mice were randomly assigned to the model group， dapagliflozin group （1.0 mg·kg^-1·d^-1）， low-dose Gegen Qinliantang group （6.24 g·kg^-1·d^-1）， and high-dose Gegen Qinliantang group （24.96 g·kg^-1·d^-1）. Eight db/m mice served as the normal group. All mice were administered the corresponding treatment once daily by gavage for 10 consecutive weeks. Body weight and fasting blood glucose （FBG） were dynamically monitored. The Morris water maze test was used to evaluate cognitive function. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe pathological changes in the hippocampus. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β） in hippocampal tissue. Immunofluorescence double staining was used to detect the co-expression of M1 microglial marker CD16/32 and ionized calcium-binding adapter molecule 1 （IBA1） in the hippocampus. Western blot analysis was performed to detect the protein expression of postsynaptic density protein 95 （PSD-95）， synapsin （SYN）， nuclear factor-κB p65 （NF-κB p65）， and phosphorylated NF-κB p65 （p-NF-κB p65） in the hippocampus. ResultsCompared with the normal group， the model group showed significantly increased body weight and FBG levels （P<0.01）， significantly prolonged escape latency and reduced platform crossings in the Morris water maze test （P<0.01）， disordered arrangement of hippocampal neurons， nuclear pyknosis， increased neuronal necrosis， reduced Nissl bodies， decreased expression of synaptic proteins PSD-95 and SYN （P<0.01）， increased CD16/32⁺ /IBA1⁺ positive rate， elevated levels of TNF-α and IL-1β， and an increased p-NF-κB p65/NF-κB p65 ratio （P<0.01）. Compared with the model group， the dapagliflozin group exhibited significantly reduced FBG levels at weeks 5 and 10 （P<0.05， P<0.01） and increased body weight. The high-dose Gegen Qinliantang group showed significantly reduced FBG at week 10 （P<0.05）. Escape latency was significantly reduced on days 3 and 5 of the water maze test in the dapagliflozin group and on day 5 in the high-dose Gegen Qinliantang group （P<0.05）. Platform crossings were significantly increased in both the dapagliflozin group and the high-dose Gegen Qinliantang group （P<0.05）. Hippocampal pathological damage was alleviated to varying degrees in the dapagliflozin group and the low- and high-dose Gegen Qinliantang groups， with significantly increased expression of PSD-95 and SYN （P<0.01）. Further studies revealed that both low- and high-dose Gegen Qinliantang reduced hippocampal IL-1β levels and the CD16/32⁺/IBA1⁺ positive rate of microglia， while the high-dose group also significantly reduced hippocampal TNF-α levels and the p-NF-κB p65/NF-κB p65 （P<0.05， P<0.01）. ConclusionGegen Qinliantang can improve hyperglycemia， cognitive dysfunction， and synaptic damage in DCI， inhibit M1 polarization of microglia and neuroinflammation， and its mechanism may be related to the inhibition of NF-κB activation.

Objective To compare the dosimetric differences in the heart and its substructures between two hybrid plans for hypofractionated whole-breast radiotherapy after breast-conserving surgery in patients with early-stage left-sided breast cancer. Methods A total of 46 patients with early-stage left-sided breast cancer who underwent hypofractionated whole-breast radiotherapy were randomly selected. Two hybrid radiotherapy plans were used, including hybrid intensity-modulated radiotherapy (H_IMRT) and hybrid volumetric-modulated arc therapy (H_VMAT). The heart and its substructures were contoured, including left anterior descending (LAD), left ventricle (LV), right coronary artery (RCA), and right ventricle (RV). The heart and substructure doses, as well as monitor units, were compared between H_IMRT and H_VMAT. Results Both hybrid plans met the clinical requirements. H_IMRT significantly outperformed H_VMAT for the heart (V₁₀, V₃₀, and D_mean), LAD (V₃₀, V₄₀, D_max and D_mean), LV (V₁₀, V₂₀ and D_mean), RCA (D_max, D_mean), and RV (V₅, V₁₀, D_mean) (P < 0.001). Additionally, H_IMRT was significantly superior to H_VMAT for heart V₅, LAD V₂₀, and RV V₂₀ (P = 0.005, 0.035 and 0.037). For LAD (V₁₅, V₄₀) and LV (V₅, V₂₅), H_IMRT was slightly better than H_VMAT, and the difference was not statistically significant. Conclusion Both H_IMRT and H_VMAT hybrid radiotherapy plans are suitable for hypofractionated whole-breast radiotherapy after breast-conserving surgery in patients with early-stage left-sided breast cancer. H_IMRT is slightly better than H_VMAT in dose sparing for the heart and its substructures.

In 2025, the American Cancer Society published "Cancer statistics, 2025", which projected cancer data for the upcoming year based on incidence data collected by central cancer registries (through 2021) and mortality data obtained from the National Center for Health Statistics (through 2022). Similarly, the National Cancer Center of China released "Cancer incidence and mortality in China, 2022" in December 2024, analyzing data from 22 cancer registries across the country. This study provides a comparative analysis of cancer incidence and mortality trends in China and the United States during the same period, with a focus on sex- and age-specific distributions and long-term changes in cancer patterns. Long-term trends indicate that lung and liver cancer mortality rates in China have declined, primarily due to tobacco control measures and hepatitis B vaccination programs. However, the burden of gastric and esophageal cancers remains substantial. In the United States, mortality rates for colorectal and lung cancers have continued to decline, largely attributed to widespread screening programs and advances in immunotherapy. As economic growth and social development, China’s cancer profile is gradually shifting towards patterns observed in countries with high human development index. However, the prevention and control of upper gastrointestinal cancers remains a critical public health challenge that requires further attention.

Objective To explore the current situation of caring behavior among hospice nurses,and to analyze its latent profiles and population characteristics,so as to provide ideas for targeted interventions.Methods From August to November 2023,convenience sampling was used to select hospice nurses from 22 secondary and above hospitals in Jiangsu Province,Zhejiang Province,Shanghai City,Shandong Province,Anhui Province,Beijing City,Guangdong Province,and Sichuan Province.The demographic characteristics questionnaire,the Caring Behaviors Inventory,the Empathy Ability Scale for Hospice Nurses,and the Practice Environment Scale were used for investigation.Latent profile analysis was conducted based on 24 items of the Caring Behaviors Inventory as explicit indicators,and the influencing factors of different profiles were analyzed through multivariate logistic regression model.Results A total of 420 questionnaires were collected,of which 393 were valid,with a valid questionnaire response rate of 93.57％.The caring behavior of hospice nurses could be divided into 3 latent profiles,namely high level of care-low respect and connection group(49.62％),high to low caring behavior-overall fluctuation group(30.79％),and medium level of care-high knowledge and skills group(19.59％).The results of multivariate logistic regression showed that age,the dimensions of cognitive and emotional empathy in the Empathy Ability Scale for Hospice Nurses and the dimension of nursing foundations for quality of care in the Practice Environment Scale were the influencing factors of the latent profile of hospice nurses'caring behavior(P＜0.05).Conclusion There is significant heterogeneity in the caring behavior of hospice nurses.Nursing managers should develop individualized interventions for hospice nurses according to the influencing factors of different latent profiles to improve their level of caring behavior.