The precise diagnosis and treatment of hepatocellular carcinoma （HCC） face major challenges such as the complexity of tumor microenvironment， treatment resistance， and a high risk of recurrence and metastasis. In recent years， ultrasound technology has moved beyond its traditional role in screening and localization， gradually evolving into a multidimensional therapeutic platform capable of energy activation， targeted delivery， local ablation， immune modulation， and therapeutic feedback. This article systematically reviews the latest advances in the basic research on ultrasound techniques in HCC treatment and integrated management. In terms of treatment， intervention strategies represented by microbubble/nanobubble-mediated delivery， sonodynamic therapy， high-intensity focused ultrasound， and histotripsy not only enable in situ physical destruction of lesions， but also effectively reverse tumor immune tolerance networks through deep synergy with sonogenetics， metabolic reprogramming， and immunochemotherapy. In terms of integrated management， novel sonosensitive nanodelivery systems provide a platform for energy activation and targeted controlled release. To address the translational bottlenecks in this field， it is recommended to develop standardized consensus on preclinical therapeutic ultrasound parameters， in order to establish a new translational paradigm for individualized precise diagnosis and treatment of HCC.

ObjectiveTo systematically quantify the multidimensional effect of virtual reality-based exergaming (VREG) on health outcomes among individuals with cognitive impairment under the framework of the International Classification of Functioning, Disability and Health (ICF). MethodsMeta-analysis was conducted in accordance with the PRISMA statement. PubMed, Cochrane Library, Embase, Scopus, Web of Science, CNKI, Wanfang Data and VIP were researched for randomized controlled trials (RCTs) investigating VREG for cognitive impairment, with the search deadline set on February 1, 2026. The Cochrane Risk of Bias 2.0 tool was adopted to evaluate the methodological quality of included studies. A three-level meta-analytic model was implemented with R 4.4.2. The GRADE framework was further used to rate the certainty of pooled evidence. ResultsA total of 22 RCTs were included. VREG might improve global cognitive function (SMD = 0.69, 95%CI 0.11 to 1.28, P = 0.022), memory (SMD = 0.47, 95%CI 0.07 to 0.87, P = 0.023), attention (SMD = 0.62, 95%CI 0.23 to 1.01, P = 0.004), executive function (SMD = 0.42, 95%CI 0.09 to 0.75, P = 0.013), balance (SMD = 0.54, 95%CI 0.07 to 1.00, P = 0.027), muscle strength (SMD = 0.63, 95%CI 0.37 to 0.88, P = 0.001), mobility (SMD = 0.29, 95%CI 0.04 to 0.54, P = 0.024) and quality of life (SMD = 0.29, 95%CI 0.03 to 0.56, P = 0.029). No significant effect was observed for depressive symptoms, comprehensive physical fitness and fall risk (all P > 0.05). Subgroup and meta-regression analyses indicated that session duration < 45 minutes produced the largest improvement in attention (SMD = 0.95, 95%CI 0.55 to 1.34, P < 0.001); intervention cycles of twelve to 24 weeks were optimal for mobility (SMD = 0.85, 95%CI 0.44 to 1.25, P < 0.001); age negatively correlated to balance improvement (β = -0.11, 95%CI -0.20 to -0.02, P = 0.020), suggesting less intervention benefits among older participants. ConclusionVREG is an effective non-pharmacological intervention to improve multidimensional physical and mental health in people with cognitive impairment. Protocols featuring short single sessions with long-term duration should be prioritized.

Polycystic ovary syndrome （PCOS）， a common reproductive endocrine disorder in women， is one of the leading causes of ovulatory infertility in women of reproductive age. Due to its heterogeneous etiology， complex symptoms， and challenging treatment， PCOS has become a focal point of research in gynecological and reproductive medicine globally. The pathogenesis of PCOS is complex and may involve regulatory mechanisms such as inflammatory responses， oxidative stress， and cellular autophagy. Crown-like structures （CLSs） refer to pro-inflammatory microenvironments formed by macrophages engulfing adipocytes. The inflammatory disorders induced by CLSs are one of the key factors contributing to the development of PCOS and its complications. Current studies have indicated that the obese status in PCOS accelerates the formation of CLSs， and the density of CLSs can predict the progression of metabolic disorders and influence the outcomes of various metabolic diseases. Traditional Chinese Medicine （TCM） offers the unique advantages of a holistic view， four diagnostic methods， and syndrome differentiation and treatment to ameliorate the symptoms and signs of PCOS through multiple levels， pathways， and targets. Although studies on the mechanisms of metabolic diseases and CLS formation have been reported in China and abroad， there is still a lack of literature on the correlation between CLSs and PCOS， as well as reviews on TCM interventions targeting CLSs for treating this disease. Therefore， this paper summarized the correlation between obese PCOS and CLSs and reviewed recent studies on TCM interventions based on CLS formation （adipose tissue-macrophage inflammatory crosstalk） in the treatment of obese PCOS， aiming to provide new research perspectives for the prevention and treatment of PCOS using TCM.

Polycystic ovary syndrome （PCOS）， a common reproductive endocrine disorder in women， is one of the leading causes of ovulatory infertility in women of reproductive age. Due to its heterogeneous etiology， complex symptoms， and challenging treatment， PCOS has become a focal point of research in gynecological and reproductive medicine globally. The pathogenesis of PCOS is complex and may involve regulatory mechanisms such as inflammatory responses， oxidative stress， and cellular autophagy. Crown-like structures （CLSs） refer to pro-inflammatory microenvironments formed by macrophages engulfing adipocytes. The inflammatory disorders induced by CLSs are one of the key factors contributing to the development of PCOS and its complications. Current studies have indicated that the obese status in PCOS accelerates the formation of CLSs， and the density of CLSs can predict the progression of metabolic disorders and influence the outcomes of various metabolic diseases. Traditional Chinese Medicine （TCM） offers the unique advantages of a holistic view， four diagnostic methods， and syndrome differentiation and treatment to ameliorate the symptoms and signs of PCOS through multiple levels， pathways， and targets. Although studies on the mechanisms of metabolic diseases and CLS formation have been reported in China and abroad， there is still a lack of literature on the correlation between CLSs and PCOS， as well as reviews on TCM interventions targeting CLSs for treating this disease. Therefore， this paper summarized the correlation between obese PCOS and CLSs and reviewed recent studies on TCM interventions based on CLS formation （adipose tissue-macrophage inflammatory crosstalk） in the treatment of obese PCOS， aiming to provide new research perspectives for the prevention and treatment of PCOS using TCM.

BACKGROUND:Chondrocyte apoptosis is an important factor in the development of osteoarthritis,and Complanatoside A has a flavonoid effect,which can inhibit apoptosis of various cells,but its effect on chondrocyte apoptosis and the mechanism of action are not clear. OBJECTIVE:To investigate the intrinsic association and mechanism of Complanatoside A in chondrocyte apoptosis based on the Wnt/β-catenin signaling pathway. METHODS:(1)The cartilage tissues of the femur and tibia transected during knee arthroplasty were collected,and chondrocytes were isolated,cultured in vitro,and identified.(2)Cell counting kit-8 was used to detect the optimal intervention concentration of Complanatoside A in the concentration range of 0-160 μmol/L.(3)Chondrocytes were divided into blank group,sodium nitroprusside(1.5 mmol/L)-induced group,and sodium nitroprusside(1.5 mmol/L)+Complanatoside A(5 μmol/L)group.The viability and apoptosis rate of the cells in each group were detected by cell counting kit-8 and flow cytometry.The expression of type Ⅱ collagen and SOX9 was detected by immunofluorescence staining.The expression of apoptosis-related proteins and Wnt/β-catenin pathway proteins was detected by western blot assay. RESULTS AND CONCLUSION:The cells extracted in vitro were cultured and stained,and were clearly identified as chondrocytes.Complanatoside A had no obvious cytotoxicity to chondrocytes in the concentration range of 0-80 μmol/L,and significantly improved the chondrocyte viability in the concentration range of 2.5-10 μmol/L,especially when the concentration was 5 μmol/L.The apoptotic rate of chondrocytes was higher in the sodium nitroprusside-induced group than the blank control group,while the apoptotic rate was lower in the sodium nitroprusside+Complanatoside A group than the sodium nitroprusside-induced group.The fluorescence intensity of type Ⅱ collagen and SOX9 in chondrocytes was weaker in the sodium nitroprusside-induced group than the blank control group,while the fluorescence intensity of type Ⅱ collagen and SOX9 in the sodium nitroprusside+Complanatoside A group was higher than that of the sodium nitroprusside-induced group.In the sodium nitroprusside-induced group,the protein expression of Bax,Caspase-3,matrix metalloproteinase 13,Wnt3a,Wnt5a and β-catenin was higher than that of the blank control group,while the protein expression of Bcl-2 was lower than that of the blank control group.In the sodium nitroprusside+Complanatoside A group,except for the protein expression of Bcl-2 which was higher than that of the sodium nitroprusside-induced group,the expression of the other aforementioned proteins was lower than that of the sodium nitroprusside-induced group.To conclude,Complanatoside A has a certain inhibitory effect on chondrocyte apoptosis,which could regulate apoptosis-related proteins and promote the expression of chondrocyte regulatory factors,and presumably might play a role through inhibiting the Wnt/β-catenin signaling pathway.

BACKGROUND:Socket-shield technique can effectively maintain labial soft and hard tissues,but the incidence of postoperative complications such as exposure and displacement of root shield is relatively high.It is speculated that the root shield may be exposed and displaced due to excessive load after long-term function of dental implants. OBJECTIVE:Through three-dimensional finite element analysis,we aim to study the influence of varying root shield thicknesses on the stress distribution,equivalent stress peaks,and displacement in the root shield,periodontal ligaments,implant,and surrounding alveolar bone under normal occlusal loading.We also attempt to analyze the correlation between the thickness of the root shield and occurrence of mechanical events such as root shield exposure,displacement,and fracture. METHODS:Cone-beam CT data of a patient who met the indication standard of socket-shield technique for maxillary central incisor were retrieved from database.Reverse engineering techniques were used to build models of the maxillary bone and root shield,while forward engineering was used to create models for the implant components based on their parameters.Models depicting various root shield thicknesses(0.5,1.0,1.5,and 2.0 mm)were created using Solidworks 2022 software.ANSYS Workbench 2021 software was then used to simulate and analyze the effects of varying root shield thicknesses on stress distribution,equivalent stress peaks,and displacement of the root shields,periodontal ligaments,implants,and surrounding alveolar bone under normal occlusion. RESULTS AND CONCLUSION:(1)In all root shield models,the stress was concentrated on the palatal cervical side,both sides of the edges and the lower edge of the labial side.As the thickness of the root shield increased,the equivalent stress peak and displacement showed a decreasing trend.The 0.5 mm thickness model produced a stress concentration of 176.20 MPa,which exceeded the yield strength(150 MPa)of tooth tissue.(2)The periodontal ligament stress in each group was concentrated in the neck margin and upper region.With the increase of root shield thickness,the equivalent stress peak and displacement of periodontal ligament showed a decreasing trend.(3)Implant stress in all models was concentrated in the neck of the implant and the joint of the implant-repair abutment,and the labial side was more concentrated than the palatal side.With the increase of root shield thickness,the equivalent stress peak of the implant in the model showed an increasing trend.(4)In each group of models,stress of cortical bone concentrated around the neck of the implant and the periphery of the root shield,and the labial side was more concentrated than the palatal side.With the increase of the thickness of the root shield,the equivalent stress peak around the root shield decreased;the peak value of the equivalent stress of the bone around the neck of the implant showed an increasing trend.In the model,the stress of cancellous bone was mainly concentrated around the neck of the lip of the implant,the top of the thread,the root tip and the lower margin of the root shield,and the labial side was more concentrated than the palatal side.With the increase of the thickness of the root shield,the peak value of the equivalent stress of the bone around the root shield in the model showed a decreasing trend.The minimum principal stress of cortical bone in each group of models was concentrated around the neck of the implant,exhibiting a fan-shaped distribution.As the thickness of the root shield increased,the minimum principal stress of cortical bone showed an increasing trend.(5)These results indicate that different thicknesses of the root shield have different biomechanical effects.The root shield with a thickness of 0.5 mm is easy to fracture.For patients with sufficient bone width,the root shield with a thickness of 2.0 mm is an option to reduce the risk of complications such as root shield exposure,fracture,and displacement.Meanwhile,it should be taken into account to protect the periodontal ligament in the preparation process,and rounding treatments ought to be carried out on both sides and the lower edge of the root shield.

ObjectiveTo investigate the application value of a multimodal model integrating radiomics features， deep learning features， and clinical structured data in predicting severe acute pancreatitis （SAP）， and to provide more accurate tools for the early identification of SAP in clinical practice. MethodsThe patients with acute pancreatitis （AP） who attended The First Affiliated Hospital of Soochow University， Jintan Hospital Affiliated to Jiangsu University， and Suzhou Yongding Hospital from January 1， 2017 to December 31， 2023 were included. Related data were collected， including demographic information， previous medical history， etiology， laboratory test data， and systemic inflammatory response syndrome （SIRS） within 24 hours after admission， as well as imaging data within 72 hours after admission， while related scores were calculated， including Ranson score， modified CT severity index （MCTSI）， bedside index for severity in acute pancreatitis （BISAP）， and systemic inflammatory response syndrome， albumin， blood urea nitrogen and pleural effusion （SABP） score. The model was constructed in the following process： （1） three-dimensional CT images were used to extract and identify radiomics features， and a radiomics classification model was established based on the extreme gradient Boost （XGBoost） algorithm； （2） U-Net is used to perform semantic segmentation of three-dimensional CT images， and then the results of segmentation were imported into 3D ResNet50 to construct a deep learning classification model； （3） the predicted values of the above two models were integrated with clinical structured data to establish a multimodal model based on the XGBoost algorithm. The variable importance plot and local interpretability plot were used to perform visual interpretation of the model. The independent samples t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups； the chi-square test or Fisher’s exact test was used for comparison of categorical data between groups. The receiver operating characteristic （ROC） curve was plotted for each model and existing scoring systems， and the area under the ROC curve （AUC） was calculated to assess their performance； the Delong test was used for comparison of AUC. ResultsA total of 609 patients who met the criteria were included， among whom 114 （18.7%） developed SAP. In this study， the data of 426 patients from The First Affiliated Hospital of Soochow University was used as the training set， and the data of 183 patients from Jintan Hospital Affiliated to Jiangsu University and Suzhou Yongding Hospital were used as the independent test set. The multimodal model had an AUC of 0.914 in the test set， which was significantly higher than the AUC of traditional scoring systems such as MCTSI （AUC=0.827）， Ranson score （AUC=0.675）， BISAP （AUC=0.791）， and SABP score （AUC=0.648）； in addition， the multimodal model showed a significant improvement in performance compared with the radiomics classification model （AUC=0.739） and the deep learning classification model （AUC=0.685） （the Delong test： Z=-3.23， -4.83， -3.48， -4.92， -4.31， and -4.59， all P <0.01）. The top 10 variables in terms of importance in the multimodal model were pleural effusion， predicted value of the deep learning model， predicted value of the radiomics model， triglycerides， calcium ions， SIRS， white blood cell count， age， platelets， and C-reactive protein， suggesting that the above variables had significant contributions to the performance of the model in predicting SAP. ConclusionBased on structured data， radiomic features， and deep learning features， this study constructs a multicenter prediction model for SAP based on the XGBoost algorithm， which has a better predictive performance than existing traditional scoring systems and unimodal models.

In situ bioimaging is a powerful tool for directly observing the localization, expression, and interactions of nucleic acids or protein targets within cells, providing essential insights into cell function and disease mechanisms. In recent years, the CRISPR/Cas9 system, a revolutionary gene-editing tool, has been applied to develop efficient in situ imaging techniques. This paper reviews recent CRISPR/Cas9-based imaging methods utilizing Cas9 protein, engineered single-guide RNA (sgRNA), and coupled fluorescent tags, and compares their application in living and fixed cells. It focuses on the specificity, signal amplification efficiency, and multi-modal imaging capabilities of these methods, with further discussion based on current research, aiming to offer a comprehensive overview of CRISPR/Cas9-based in situ bioimaging techniques, with some valuable reference and guidance for research in related fields.

Objective:To investigate the current state of death cognition among healthcare providers in hematology department and their attitudes toward hospice care for patients with hematologic malignancies.Methods:A cross-sectional investigation study was conducted. A total of 198 medical staff in hematology department of 4 teaching hospitals, including the First School of Clinical Medicine of Guangdong Medical University, Fujian Medical University Union Hospital, the Affiliated Hospital of Putian University and the First Affiliated Hospital of Gannan Medical University from March 2024 to June 2024 were selected as the investigation subjects. The general situation and background of medical staff in hematology department were investigated by using the "General Sociological Questionnaire". "Death Attitude Description Scale (Chinese version)" was used to investigate the status of death cognition among medical staff in hematology department. "Frommelt Attitudes Toward Care of the Dying Scale Form B (Chinese version)" was used to investigate the hospice care attitude of medical staff in hematology department. The survey results of doctors and nurses were compared.Results:There were 105 doctors and 93 nurses in hematology department included in this study. A total of 198 qualified "General Sociology Questionnaires" were collected. After excluding 6 unqualified questionnaires, 192 copies of "Death Attitude Description Scale (Chinese version)" and "Frommelt Attitudes Toward Care of the Dying Scale Form B (Chinese version)" were collected. There were statistically significant differences in gender, educational background, political status and experience of taking care of terminally ill patients between doctors and nurses (all P < 0.05). The scores of approaching acceptance, neutral acceptance, death escape, death fear and flight acceptance were (4.35±0.37), (4.03±0.51), (2.98±0.62), (2.54±0.29) and (2.19±0.42) points, respectively in the doctor group; the corresponding scores were (3.12±0.41), (3.89±0.46), (2.66±0.63), (2.81±0.57) and (2.37±0.65) points, respectively in the nurse group, and the differences between the 2 groups were statistically significant (all P < 0.05). The total score of hospice care attitude of doctors in hematology department was (108±15) points, and that of nurses was (116±13) points, and the difference was statistically significant ( t = -3.61, P < 0.001). The hospice care attitude of doctors and nurses towards patients with hematologic malignancies is generally between positive and neutral. The nurse group showed more recognition of the positive role of the patient's family members in the process of hospice care, and the doctor group showed more recognition of the promoting role of medical staff in hospice care. There were statistically significant differences in hospice care attitude scores of medical staff in hematology department to patients with different occupational background, gender, age, place of residence, family discussion about death, whether the only child, whether they had the experience of taking care of terminally ill patients, and whether they suffered from serious illness and religious belief (all P < 0.05). Conclusions:The death cognition of medical staff in hematology department is neutral, and they show a certain sense of hospice care.

Objective To investigate the effects of meropenem and amikacin on gut microbiota diversity and composition in a neonatal rat model of necrotizing enterocolitis(NEC).Methods Neonatal SD rats(1～2 d,weighing 5～10 g,both sexes)were subjected to establish a NEC model through artificial formula feeding,hypoxic-cold stress,and lipopolysaccharide(LPS)gavage.The rats were randomly divided into normal control group(Group C,n=12),NEC group(Group N,n=20),meropenem intervention group(Group M,n=20),and amikacin intervention group(Group A,n=20).Following modeling,Group M and Group A received intraperitoneal injections of meropenem(125 mg/kg)or amikacin(468 mg/kg),twice daily for 3 consecutive days.Groups C and N were administered an equal volume of normal saline.At the end of the intervention,colonic contents or fecal samples were collected.The gut microbiota structure was analyzed using 16S rDNA high-throughput sequencing.Bioinformatics analysis was performed using the QIIME2 platform.Alpha diversity was evaluated using Chao1,Shannon,and Simpson indices.Beta diversity was assessed based on Bray-Curtis distance through principal coordinate analysis(PCoA)and non-metric multidimensional scaling(NMDS).Venn and UpSet plots were generated to visualize the composition and overlap of operational taxonomic units(OTUs).Linear discriminant analysis effect size(LEfSe)was applied to identify differentially abundant taxa across groups.Results High-throughput 16S rDNA sequencing showed that the N group had significantly lower 3 indices of α diversity than the C group(P<0.01),that is,a Chao1 index from 230 to 40,a Shannon index from 1.65 to 0.85,and a Simpson index from 0.65 to 0.42.After antibiotic intervention,both the M group and A group obtained obvious increases in the Chao1 index than the N group(P<0.001),with a greater increase observed in the M group than in the A group(P<0.05).However,neither antibiotic group exhibited notable improvements in the Shannon index or Simpson index compared with the N group(P>0.05).Venn and UpSet analyses revealed that the M group had the highest number of unique OTUs(283),while the A group shared the most OTUs(63)with the C group.PCoA and NMDS analyses indicated that the microbial structure of the A group was closer to that of the C group,with better clustering.Taxonomic composition and LEfSe analysis demonstrated that the N group was enriched with potentially pathogenic taxa such as Escherichia coli B2 and Klebsiella under the phylum Proteobacteria,while beneficial bacteria including Lactobacillaceae and Bifidobacteriaceae(phylum Firmicutes)were significantly reduced,indicating severe dysbiosis.In contrast,the A group exhibited a significant increase in beneficial bacteria and a structural tendency toward ecological recovery.The M group,however,was enriched with various conditionally pathogenic and environmentally associated genera,displaying a microbial configuration notably deviating from a healthy state.Conclusion Meropenem and amikacin exhibit differential regulatory effects on the intestinal microbiota in the context of NEC.Amikacin demonstrates superior efficacy in restoring microbial stability and levels of beneficial bacteria,whereas meropenem,although effective for early infection control,warrants caution due to its potential long-term impact on the gut microbiome.