ObjectiveTo investigate the mechanism by which Xiebai San regulates respiratory tract and intestinal mucosal immunity in rats with allergic asthma. MethodsForty male SD rats were randomly divided into four groups based on body weight: control group, model group, positive control group, and Xiebai San group. The model group, positive control group, and Xiebai San group were sensitized with ovalbumin to establish a rat model of allergic asthma. From day 21 (the aerosol challenge phase), each group received daily gavage interventions simultaneously: the positive control group was administered dexamethasone (0.068 mg/kg), the Xiebai San group received Xiebai San solution (2 g/mL, 11.3 mL/kg), while the control and model groups were given an equal volume of normal saline, once daily for 14 consecutive days. After euthanasia, lung and intestinal tissues were collected. Hematoxylin and eosin staining was used to observe histopathological changes. Transmission electron microscopy was employed to examine tissue ultrastructure. Immunohistochemistry was applied to detect the positive reaction areas of phosphatidyl-inositol 3-kinase (PI3K) and protein kinase B (Akt) proteins. Total protein and total RNA were extracted from lung and intestinal tissues, then the protein and mRNA expression levels of PI3K and Akt genes were detected by Western blotting and real-time quantitative PCR, respectively. ResultsHistopathological results showed alveolar emphysema accompanied by inflammatory cell infiltration, and intestinal mucosal injury with inflammatory cell infiltration in the model group as compared with the control group; the cellular structure of lung tissues was disrupted in the model group, with reduced organelles, while the ultrastructural lesions in the intestine were relatively mild. Compared with the model group, Xiebai San group exhibited milder pathological changes in lung tissues, with occasional alveolar wall damage and a small amount of inflammatory cell infiltration; the intestinal mucosal structure was improved, glands were arranged regularly, and pathological changes such as tissue loosening and inflammatory infiltration were alleviated; the cellular structure of lung tissues was relatively intact with reduced severity of lesions, and no ultrastructural pathological changes were observed in intestinal tissues. Immunohistochemistry and Western blotting results showed that compared with the control group, the specific positive reaction areas of PI3K and Akt in lung and intestinal tissues were significantly increased in the model group (all P<0.001); meanwhile, the protein expression levels of PI3K and Akt were significantly upregulated (all P<0.05). Compared with the model group, the positive area of Akt protein in lung tissue was significantly reduced in the Xiebai San group (P<0.001), and the positive area of PI3K in intestinal tissue was also significantly decreased (P<0.000 1). Additionally, the protein expression levels of PI3K and Akt in lung and intestinal tissues were significantly downregulated (all P<0.01). Real-time quantitative PCR results showed that compared with the control group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly elevated in the model group (all P<0.05). Compared with the model group, the mRNA expression levels of PI3K and Akt genes in lung and intestinal tissues were significantly reduced in the Xiebai San group (all P<0.05). ConclusionXiebai San exerts protective effects on rats with allergic asthma by inhibiting the expression of key nucleic acids and proteins in the PI3K-Akt signaling pathway in lung and intestinal tissues, improving the morphological structure of lung tissue, and maintaining intestinal mucosal integrity, and regulating intestinal mucosal immune function.

ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis （RA） patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction （补肾治尪汤， BZD） based on metabolomics. MethodsA prospective cohort study was conducted， enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs （csDMARDs） for 12 months. Clinical data were collected， and the change in disease activity score in 28 joints （DAS28） after treatment compared with baseline （△DAS28） was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator （LASSO） regression were used to preliminarily screen differential metabolites， followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination， a novel metabolite index， namely the metabolomics-based inflammatory remission score （Met-IRS）， was calculated using standar-dized metabolite values， and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS， and the model performance was assessed. ResultsAmong the 60 patients， those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group， while those with △DAS28 ＜ 0.27 were assigned to the low inflammatory remission group， with 30 cases in each group. Compared to the low inflammatory remission group， the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor （RF） （P＜0.05）. Seven core metabolites were identified as the optimal combination， including mangiferic acid， fatty acid-hydroxy fatty acid ester 40∶6， fatty acid-hydroxy fatty acid ester 18∶0， fatty acid-hydroxy fatty acid ester 36∶1， glucosylceramide， lysophosphatidylcholine 22∶5， and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group， and was positively correlated with high inflammatory remission outcomes （P＜0.05）. Based on the variables Met-IRS， methotrexate use， leflunomide use， and RF positivity， a clinical prediction model for inflammatory remission in RA treatment （Cj-RTRM） was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability， with an area under the receiver operating characteristic curve （AUC） of 0.880， sensitivity 0.967， specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring， targeted management， and identification of populations with advantages in traditional Chinese medicine.

Objective: To explore the potential application of PAK4-PROTAC targeted degradation drug (PpD) in renal cancer immunotherapy. Methods: TIMER 2.0 and TISIDB databases were used to analyze the relationship among PAK4 expression, tumor purity and abundance of immune cell infiltration in renal tumor microenvironment (TEM).Renal cancer cell lines OS-RC-2, 786-O and ACHN were treated with 0, 125 and 250 nmol/L PpD, and the effects of Jurkat cell co-culture on the results were investigated.The cell apoptosis was detected with flow cytometry, and the expression of programmed cell death 1 ligand 1 (PD-L1) in renal cancer cells was detected with immunoblotting. Results: The high expression of PAK4 was positively related to immune purity, and inhibited the abundance of immune killer cells in TEM, such as CD8 T cells, CD4 T cells, natural killer cells and dendritic cells.With 250 nmol/L PpD treatment, there were 21.02% apoptotic cells in OS-RC-2, 29.67% apoptotic cells in 786-O, and 15.39% apoptotic cells in ACHN, respectively.However, with the same concentration of 250 nmol/L PpD treatment, cell apoptotic rate was sharply increased to 70.13% in OS-RC-2/Jurkat, 70.68% in 780-O/Jurkat, and 60.27% in ACHN/Jurkat co-culture models, respectively. Conclusion: PpD can promote apoptosis of renal cancer cells by reducing the expression of PAK4 protein, and enhance the killing effects of immune cells on tumor cells.

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

Antibody-drug conjugates (ADCs) represent a promising class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic payloads. Despite their therapeutic potential, the use of ADCs faces significant challenges, including off/on-target toxicity and resistance development. This review examines the current landscape of ADC development, focusing on the critical aspects of target selection and antibody engineering. We discuss strategies to increase ADC efficacy and safety, including multitarget approaches, pH-dependent antibodies, and masked peptide technologies. The importance of comprehensive antigen expression profiling in both tumor and normal tissues is emphasized, highlighting the role of advanced technologies, such as single-cell sequencing and artificial intelligence, in optimizing target selection. Furthermore, we explore combination therapies and innovations in linker‒payload chemistry, which may provide approaches for expanding the therapeutic window of ADCs. These advances pave the way for the development of more precise and effective cancer treatments, potentially extending ADC applications beyond oncology.
Humans ; Immunoconjugates/adverse effects* ; Neoplasms/immunology* ; Animals ; Antibodies, Monoclonal/therapeutic use* ; Antineoplastic Agents/therapeutic use*

Objective:To design and evaluate a cell membrane vaccine strategy based on dendritic cell membrane microbubbles(DCM@MBs),and to explore its potential application in tumor immunotherapy,especially the immune-specific killing of tumor cells through the activation of T cells.Methods:At first,tumor cell membrane proteins were extracted and dendritic cells(DCs)were acti-vated to confirm that tumor antigens could effectively stimulate the maturation of immature DCs.Mature DC membranes were then mixed with lipids to prepare DCM@MBs,which were characterized for morphology,size,and protein composition by confocal laser scanning microscopy and sodium dodecyl sulfate-polyacrylamide gel electrophoresis.Finally,in vitro co-culture experiments were con-ducted to assess the effect of DCM@MBs on the activation of T cells and their ability for specific killing of tumor cells.Results:In the in vitro DC activation experiment,after stimulation with tumor cell membrane proteins,the 25 μg/mL group had a significant increase in the expression level of MHC class Ⅱ molecule(25.167%±1.203%)on the surface of immature DCs compared with the control group(P<0.001),and DCM@MBs presented with microbubbles encapsulated by red cell membranes,with uniform dispersion and a size of 1-5 μm.In the in vitro co-culture experiment,the amount of breast cancer cells(9.893±0.341)%.Conclusion:The DCM@MBs strategy proposed in this study shows significant potential in tu-mor immunotherapy and can effectively activate T cells and specifically kill and eliminate tumor cells,which provides new ideas for tu-mor immunotherapy.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Objective:To explore the effectiveness of robotic implant technology in the postgraduate education of implant dentistry.Methods:The teaching method that combines of theory and model manipulation was used to teach 20 postgraduate students. After completing the theoretical course of implant dentistry, all students performed free hand, digital template, and dental implant robot implant surgery on the simulation jaw models. At the end of the course, an error analysis of the three and a feedback questionnaire distributed to the students were conducted in order to assess the effectiveness of the dental implant robot.Results:Compared to the freehand [2.45(1.1) mm,2.80(0.88) mm,4.95°(2.68°)] and digital template group [1.25(0.68) mm,2.00(0.90) mm, 3.35°(1.60°)], the dental robot implant group had smaller values for implant platform deviation, apical deviation and angular deviation [0.29(0.08) mm,0.26(0.20) mm,0.72°(0.13°)], and the difference was statistically significant ( P<0.001). The results of the questionnaire showed that dental implant robot helps to ensure the accuracy and safety of the implanting process and stimulates students′ interest in learning. Conclusions:At postgraduate level, the safety and accuracy of the implantation process was effectively improved and good teaching result achieved by introducing dental implant robot into the process of dental implant training.

Objective:To investigate the application value of dermoscopy and reflectance confocal microscopy (RCM) in identifying field cancerization in actinic keratosis (AK) in the elderly.Methods:A retrospective analysis was conducted on clinical, dermoscopic, and RCM features of elderly (> 60 years old) patients, who were confirmedly diagnosed with AK and had complete medical records at Shanghai Skin Disease Hospital from January 2022 to December 2023.Results:A total of 132 elderly patients with AK were included. Dermoscopy showed brownish-gray pseudonetwork pigment patterns, follicular horn plugs, irregular branched vessels, and rosette signs in AK lesions. Histopathological examination in 51 patients revealed that 47 (92.16%) were confirmedly diagnosed with AK. Field cancerization was observed in 106 patients (80.3%), among whom 66 (62.26%) had irregular branched vessels, 88 (83.02%) predominantly exhibited brownish-gray pseudonetwork pigment patterns, and 83 (78.30%) showed scattered brown pigment networks/fingerprint-like patterns. Post-treatment follow-up of 63 patients showed varying degrees of changes in vascular and pigment structures by dermoscopy, with significant reductions in follicular horn plugs and superficial yellow-white scales or keratin masses. RCM examinations in 41 AK patients all showed disordered arrangements of keratinocytes presenting as atypical honeycomb patterns, with atypical cells in the AK lesions; in the field cancerization areas of 20 patients, RCM revealed keratinocytes disorderedly arranged in an irregular honeycomb pattern, with some keratinocytes exhibiting mild atypia. Thirty-four AK patients underwent dynamic RCM monitoring before and after 1, 3 and 6 months of ALA-PDT treatment, which showed gradual regularization of arrangements of keratinocytes and reduction of atypical cells, as well as reappearance of atypical keratinocytes upon recurrence.Conclusions:The incidence of field cancerization was relatively high in elderly AK patients. Dermoscopy and RCM are helpful for the early identification of AK and field cancerization, especially in patients with multiple lesions and with difficulties in multi-site biopsy.