BACKGROUND:The titanium alloy bone trabecular bone socket cup prosthesis printed by 3D technology has superior biological characteristics,which helps to promote osteogenic differentiation of stem cells.The Kidney Tonifying and Blood Activating Decoction has the functions of tonifying the kidneys,strengthening tendons,promoting blood circulation,and relieving pain.However,the application of the combination of the two in elderly hip arthroplasty is rarely reported.OBJECTIVE:To evaluate the application value and safety of 3D printed titanium alloy bone trabecular cup prosthesis combined with modified Kidney Tonifying and Blood Activating Decoction in elderly hip arthroplasty.METHODS:A total of 200 elderly patients who received hip arthroplasty in Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine from January 2022 to January 2024 were selected and randomly divided into control group(n=100)and trial group(n=100).The control group underwent Pinnaele cup prosthesis hip arthroplasty combined with modified Kidney Tonifying and Blood Activating Decoction,while the trial group underwent 3D printed titanium alloy bone trabecular cup prosthesis hip arthroplasty combined with modified Kidney Tonifying and Blood Activating Decoction.The medication was taken continuously for 1 week before hip arthroplasty and for 4 weeks after arthroplasty.The differences in pain,swelling,hemorheology,inflammatory factors,bone metabolism,intra-articular stress,and hip abduction muscle strength were compared between the two groups to evaluate the clinical efficacy and safety of the two treatment options.RESULTS AND CONCLUSION:(1)Four weeks after surgery,the pain visual analog scale score,limb swelling,whole blood viscosity,and plasma viscosity of the trial group were lower than those of the control group(P＜0.05).The interleukin-6 level of the trial group was lower than that of the control group,and the interleukin-10 level was higher than that of the control group(P＜0.05).The levels of type Ⅰ collagen carboxyl terminal peptide β specific sequence and tartrate-resistant acid phosphatase 5b in the trial group were lower than those in the control group,while the levels of osteocalcin,bone-specific phosphatase and typeⅠ procollagen amino-terminal propeptide were higher than those in the control group(P＜0.05).The intra-articular stress and hip abduction muscle strength in the trial group were higher than that of the control group(P＜0.05).(2)Three months after surgery,the excellent and good treatment rate in the trial group was higher than that in the control group,and the incidence of safety evaluation events such as postoperative incision hematoma and infection was lower than that in the control group(P＜0.05).(3)It suggests that 3D printed titanium alloy trabecular acetabular cup prosthesis combined with modified Kidney Tonifying and Blood Activating Decoction can improve the blood rheology of elderly patients with hip arthroplasty,inhibit inflammatory response,reduce postoperative pain and swelling,and enhance bone metabolism,thereby promoting postoperative hip joint function recovery,and reducing the incidence of adverse events,with high safety.

BACKGROUND:The local immune microenvironment plays an important regulatory role in the process of bone formation,and the immune system is intricately linked to the skeletal system.OBJECTIVE:To systematically review the promotion of bone regeneration from three aspects:immune cell regulation of microenvironment,regulation of immune response by small extracellular vesicles,and induction of immune response by bone biomaterials,and to elucidate the immune regulatory mechanisms involved in bone regeneration.METHODS:Relevant literature was retrieved from PubMed,CNKI,WanFang Database,and VIP Database,using the search terms of"osteoimmunology,immune microenvironment,small extracellular vesicles,bone regeneration,bone tissue repair,biomaterials,and tissue engineering"in English and Chinese.Repeat and irrelevant literature was screened and removed,and 92 articles that met the criteria were selected for intensive reading and review.RESULTS AND CONCLUSION:Multiple immune cells and bone cells are in the same microenvironment,and immune cells can regulate the differentiation and activity of bone cells,collectively forming an immune microenvironment that affects bone regeneration.Neutrophils can significantly reduce local inflammatory responses in the early stages of bone injury,creating a favorable microenvironment for bone regeneration.M1 macrophages can clear foreign bodies and reduce early inflammatory responses,while M2 macrophages can promote the expression of osteogenic markers and factors,playing an important role in the repair process of bone injury.B cells and T cells can directly or indirectly affect the generation and activity of osteoblasts and osteoclasts,regulate bone metabolism,and promote bone regeneration.Extracellular vesicles of small cells regulate the local immune microenvironment through paracrine secretion,promoting bone formation and angiogenesis at the site of bone injury.The metal ions,surface hydrophilicity,porosity,pore size,surface morphology,and surface roughness on the surface of biomaterials can directly regulate local immune responses,and have anti-inflammatory,angiogenic,and osteogenic effects,thereby accelerating bone regeneration.

BACKGROUND:Autophagy,as a key regulatory mechanism of cell development,plays an important role in different stages of embryonic development.The mechanism of how autophagy regulates embryonic development through histone modifications is currently unclear.OBJECTIVE:To investigate the effect of autophagy on trimethylation of lysine 4 on histone H3(H3K4me3)modification in embryos and its effect on embryonic development.METHODS:Mouse fertilized eggs were divided into control and autophagy inhibitor-treated groups(chloroquine phosphate-treated group and 3-methyladenine-treated group),and cultured in vitro to different periods of time,and were then classified as early 2-cell embryos,middle 2-cell embryos,late 2-cell embryos,4-cell embryos,8-cell embryos,morula stage,and blastocyst stage.Levels of reactive oxygen species,autophagy marker proteins LC3B and P62,DNA loss marker γH2AX,and H3K4me3 were analyzed by immunofluorescence assay in late 2-cell embryos of each group.Changes in H3K4me3 modification in late 2-cell embryos of each group were detected by CUT&Tag.RESULTS AND CONCLUSION:(1)Autophagy inhibition caused embryo development arrest.(2)There was no significant difference in reactive oxygen species and γH2AX between the autophagy inhibitor-treated groups and control group.(3)H3K4me3 levels were significantly elevated in the autophagy inhibitor-treated group compared with the control group.(4)CUT&Tag results showed a significantly increased H3K4me3 peaks on the proximal promoter region of the genes after autophagy inhibition and an increase of H3K4me3-specific modification genes.These findings suggest that autophagy may affect embryonic development by regulating the level of H3K4me3 modification.

Intrahepatic cholangiocarcinoma (ICC) is a highly malignant primary tumor originating from the intrahepatic bile duct epithelium. Current clinical consensus emphasizes that early detection,timely diagnosis,and R0 resection (when feasible) are critical strategies for improving outcomes. Advances in surgical techniques and multidisciplinary approaches have facilitated precision medicine-guided systemic therapies,including adjuvant and neoadjuvant regimens. These interventions significantly delay postoperative recurrence and improve 5-year survival rates. Systemic treatments have also modestly enhanced prognoses for advanced ICC patients. Artificial intelligence-driven radiomics and deep learning technologies show substantial efficacy in ICC diagnosis,prognostic assessment,and lymph node metastasis prediction,advancing precision medicine applications. Despite these therapeutic advances,survival outcomes-particularly for advanced-stage ICC-remain suboptimal. Future efforts should prioritize molecular signature-guided therapies,novel combination regimens,and artificial intelligence-assisted comprehensive management to establish a molecularly driven precision treatment framework.

Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

Microorganisms are closely associated with human health, and their pathogenicity is a key factor in various infectious diseases, particularly in dentistry, where they contribute to common conditions such as dental caries, periodontitis, and oral mucosal diseases. Accurate and rapid microbial detection is crucial for early diagnosis, targeted therapy, and disease prevention. Conventional methods, including bacterial culture and molecular biological assays, offer specificity but are limited by long detection cycles, complex procedures, and dependence on laboratory conditions. Terahertz (THz) spectroscopy has emerged as a promising tool in microbial detection due to its non-ionizing nature, high sensitivity, and specific responses to water molecules and biomacromolecules. Integrating THz time-domain spectroscopy, near-field imaging, and metamaterial-enhanced techniques, studies have demonstrated the ability of this approach to effectively distinguish bacteria, fungi, and yeast, differentiate gram-positive and gram-negative bacteria, and even assess bacterial viability. Machine learning has further enhanced feature extraction and classification accuracy, and THz-based methods have shown notable advantages in multi-class microbial identification, detection of antibiotic-resistant strains, and quantitative analysis of microbial concentrations. However, current THz technologies are still constrained by strong water absorption, limited penetration depth, and the lack of standardized spectral databases. Future efforts should focus on mitigating water background interference, improving detection in complex samples, and establishing unified microbial spectral standards. This review systematically summarizes the latest advances of THz technologies in microbial detection, analyzes their mechanisms, advantages, and translational challenges, and proposes directions for future research.

This article systematically elucidates the current development status and future trends of robot-assisted surgery worldwide. Currently, robotic surgery led by the Da Vinci Surgical System has been widely adopted across multiple disciplines, including thoracic surgery, urology, and gynecology, demonstrating advantages such as precision, stability, and minimal invasiveness. Significant regional disparities exist in the global distribution of robotic surgery, reflecting inequalities in healthcare resources and economic development worldwide. China is rapidly emerging in the field of robotic surgery, undergoing a strategic transition from technology adoption to independent innovation: domestically developed systems (e.g., Toumai, Surgibot) have demonstrated safety and efficacy in multidisciplinary clinical practice; leveraging the advantages of 5G technology, remote robotic surgery has progressed from proof-of-concept to clinical reality, offering innovative solutions for equitable healthcare resource allocation; meanwhile, a quality control system spanning from national strategic planning to clinical operational standards is under development. Confronted with core challenges such as high costs, technical barriers (e.g., lack of force feedback), steep learning curves, lagging regulatory and ethical frameworks, and uneven regional development, future robotic surgery will deeply integrate artificial intelligence, evolving toward single-port/flexible miniaturization, normalization of remote surgery, and personalized precision treatment. Ultimately, it will drive the transformation of surgical medicine toward a new paradigm characterized by greater precision, intelligence, and accessibility, and is expected to play a strategic role in public health emergencies and disaster relief operations.

Objective To construct a lung cancer surgery-oriented disease-specific database covering the entire perioperative care pathway, thereby improving the quality and usability of key surgical data elements. Methods Real-world clinical data were extracted from a single-center thoracic surgery department. A standardized data model was established based on the open electronic health record (openEHR) standard. Large language model (LLM), optical character recognition (OCR), and artificial intelligence (AI)-driven techniques were employed to extract, structure, and perform quality control on unstructured clinical narratives, imaging reports, and radiological data, with a focus on capturing surgically relevant perioperative indicator. Results A multimodal database comprising 19 917 patients was established, including 7 930 males and 11 987 females, with ages ranging from 15 to 97 (61.7±9.7) years. The database includes 582 structured data variables, textual report data corresponding to 69 clinical indicators, 13 000 pulmonary function test PDF reports, and chest CT imaging data from 16 884 patients. This database comprehensively covers major information relevant to surgical diagnosis and treatment of lung cancer, significantly improving the completeness and granularity of surgical detail data. Large language models (LLMs) and optical character recognition (OCR) technologies enhanced the efficiency of converting unstructured data into structured formats, while a multi-level manual verification process ensured data accuracy and traceability. The database supports real-world research including comparisons of surgical procedures, prediction of postoperative complications, prognosis assessment, and multimodal data association analyses.

Objective: To investigate the relationship between physical development indicators and the onset and progression of myopia among children and adolescents, so as to provide theoretical support for coordinated vision and physical health management. Methods: A prospective cohort study was conducted. In September 2022, 3 102 students from grade one in primary school to grade three in junior high school (five year primary school and four year junior high school) from six schools in Huantai County, Shandong Province, were selected using multistage cluster random sampling method to participate in an epidemiological survey on myopia, with follow up completed in September 2023. Follow up value minus baseline value( d ) was used to assess changes in physical development and vision indicators. Multivariate Logistic regression analysis was used to examine the relationship between physical development indicators and the incidence of myopia. Generalized linear models were established to analyze the relationship between physical development indicators and changes in d spherical equivalent (SE) and d axial length (AL) . Results: Multivariate Logistic regression analysis showed that, after adjusting for factors such as gender, age, and baseline body mass index, the third ( Q 3)and fourth ( Q 4)quartiles of d height showed increased risks of myopia onset within one year compared to the first quartile( Q 1) ( OR =1.85,95% CI =1.18-2.88; OR =1.74,95% CI =1.09-2.78,both P ＜0.05). Results from the generalized linear model indicated that, after adjusting for confounding factors such as gender, age, and baseline SE, d SE was negatively correlated with d height and d weight in children and adolescents ( β =-0.024, 95% CI =-0.031 to -0.018; β =-0.006, 95% CI =-0.011 to -0.001), d AL was positively correlated with d height and d weight in children and adolescents ( β =0.011, 95% CI =0.008-0.013; β =0.005, 95% CI =0.003-0.007) (all P ＜0.05). Conclusions Physical development indicators in children and adolescents were associated with the onset and progression of myopia. Dynamic monitoring and early intervention of myopia should be strengthened for children and adolescents with rapid height and weight gain to achieve coordinated management of myopia and physical development.

Objective To investigate the changing trend of sleep disturbance in patients with hepatolenticular degeneration and the bidirectional relationship between sleep disturbance and depression through a cross-lagged regression analysis. Methods A total of 80 patients who met the diagnostic criteria for WD from January to June 2024 were enrolled in this longitudinal study and were followed up for 3 months.Pittsburgh Sleep Quality Index （PSQI） was used to assess sleep quality， and Beck Depression Inventory （BDI） was used to assess the severity of depression， at the time of enrollment （T0）， at 1 month after enrollment （T1），and at 2 months after enrollment （T3）. An unconditional growth model was used to analyze the trajectory of sleep disturbance， and a cross-lagged regression model was used to investigate the temporal relationship between sleep disturbance and depression. Results From T0 to T2， there were significant increases in PSQI and BDI scores in all WD patients（P<0.05）. The variance of the intercept factor （the initial status of sleep disturbance） was estimated at 10.83（P<0.01），and the variance of the slope factor （the rate of change in sleep disturbance） was 1.20 （P<0.01），with a significant negative correlation between the intercept and the slope （r=-0.25，P<0.01）. The correlation analysis of PSQI and BDI scores across the three time points revealed a positive correlation between PSQI and BDI scores （r∈[0.19，0.96]，P<0.01）.The cross-lagged model analysis showed that sleep disturbance significantly predicted subsequent depression （P<0.01），with standardized regression coefficients （β） of 0.392 and 0.347， respectively； meanwhile， depression also significantly predicted subsequent sleep disturbance （P<0.01）， with β of 0.273 and 0.372， respectively. These findings suggested a bidirectional predictive relationship between sleep disturbance and depression in WD patients over time. Conclusion There is a bidirectional relationship between sleep disturbance and depression in patients with WD， and depression has a more pronounced influence on sleep disturbance. Therefore， clinical interventions should focus on both sleep and psychological state， and combined management should be performed to improve the effect of disease control.
Depression