Interfering hepatitis B virus (HBV) capsid assembly holds promise as a therapeutic approach for chronic hepatitis B (CHB). Novel anti-HBV agents are urgently needed to overcome drug resistance challenges, with targeted protein degradation (TPD) emerging as a hopeful strategy. Herein, we report the first degradation of HBV core protein (HBC), a multifunctional structural protein, using small-molecule degraders developed by hydrophobic tagging (HyT) technology. Structure-activity relationship (SAR) analysis identified compound HyT-S7, featuring an adamantyl group, exhibiting potent inhibitory activity (EC₅₀ = 0.46 μmol/L, HepAD38 cells) and degradation ability (DC₅₀ = 3.02 ± 0.54 μmol/L) in a dose- and time-dependent manner. Mechanistic studies demonstrated that the autophagy-lysosome pathway was a potential driver of HyT-S7-induced HBC degradation. Remarkably, HyT-S7 effectively degraded 11 drug-resistant mutants, including highly resistant strains P25G and T33N, to Phase III drug GLS4. Furthermore, cellular thermal shift assay, surface plasmon resonance assay, and molecular dynamics simulations revealed the precise mode of HyT-S7 binding to HBC with the adamantyl group potentially mimicking protein misfolding to facilitate HBC degradation. This first proof-of-concept study highlights the potential of HyT-mediated TPD in HBC as a promising avenue for discovering novel HBV and other antiviral agents with favorable drug resistance profiles.

Aim To explore the role of zinc transporter 6(SLC30A6)on the proliferation,migration and inva-sion capabilities of hepatocellular carcinoma(HCC)cell line Huh7,and to identify potential traditional Chi-nese medicine(TCM)small-molecule inhibitors targe-ting SLC30A6 from the China Natural Products Data-base(CNPD)using virtual screening techniques.Methods The expression levels,clinical characteris-ticsand prognostic value of SLC30A6 in HCC were pre-dicted based on TCGA and ICGC datasets.SLC30A6 was knocked down in Huh7 cells using lentiviral trans-fection.The effects on cell proliferation,migration,and invasion were assessed using CCK-8,EdU,wound heal-ing,and Transwell assays.The regulation of HCC cancer stem cell markers(CD44,CD133,CD90)by SLC30A6 was also examined.Based on the CNPD,a docking-based virtual screening strategy was employed,including high-throughput virtual screening,standard precision virtual screening,and high-precision virtual screening,to identify the potential drug candidates with high specificity and favorable drug-likeness.Results SLC30A6 expression was upregulated in HCC tissues.Higher SLC30A6 levels were associated with advanced pathological stages,histological grades,alpha-fetopro-tein(AFP)levels,vascular invasion,and poor progno-sis in HCC patients.SLC30A6 knockdown significantly inhibited the proliferation,migration,and invasion of Huh7 cells and reduced the levels of HCC cancer stem cell markers.Virtual screening identified six potential TCM small-molecule inhibitors.Conclusions SLC30A6 can regulate the proliferation,migrationand invasion of HCC cells.SLC30A6 may serve as a poten-tial prognostic biomarker and therapeutic target for HCC.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Aim To explore the role of zinc transporter 6(SLC30A6)on the proliferation,migration and inva-sion capabilities of hepatocellular carcinoma(HCC)cell line Huh7,and to identify potential traditional Chi-nese medicine(TCM)small-molecule inhibitors targe-ting SLC30A6 from the China Natural Products Data-base(CNPD)using virtual screening techniques.Methods The expression levels,clinical characteris-ticsand prognostic value of SLC30A6 in HCC were pre-dicted based on TCGA and ICGC datasets.SLC30A6 was knocked down in Huh7 cells using lentiviral trans-fection.The effects on cell proliferation,migration,and invasion were assessed using CCK-8,EdU,wound heal-ing,and Transwell assays.The regulation of HCC cancer stem cell markers(CD44,CD133,CD90)by SLC30A6 was also examined.Based on the CNPD,a docking-based virtual screening strategy was employed,including high-throughput virtual screening,standard precision virtual screening,and high-precision virtual screening,to identify the potential drug candidates with high specificity and favorable drug-likeness.Results SLC30A6 expression was upregulated in HCC tissues.Higher SLC30A6 levels were associated with advanced pathological stages,histological grades,alpha-fetopro-tein(AFP)levels,vascular invasion,and poor progno-sis in HCC patients.SLC30A6 knockdown significantly inhibited the proliferation,migration,and invasion of Huh7 cells and reduced the levels of HCC cancer stem cell markers.Virtual screening identified six potential TCM small-molecule inhibitors.Conclusions SLC30A6 can regulate the proliferation,migrationand invasion of HCC cells.SLC30A6 may serve as a poten-tial prognostic biomarker and therapeutic target for HCC.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.

Objective To compare the application value of three image post-processing techniques volume rendering(VR),multiplanar reformation(MPR)and curved planar reformation(CPR)in the identifi-cation of rib fracture malunion.Methods The types and numbers of rib fracture malunion in 75 pa-tients were recorded,and the sensitivity,specificity,accuracy and Youden index of VR,MPR and CPR in the diagnosis of rib fracture malunion were compared.Receiver operator characteristic(ROC)curve was drawn and area under the curve(AUC)was calculated,and the detection rates of three image post-processing techniques for different types of rib fracture malunion were compared.Results A total of 243 rib fractures were malunion in 75 patients.The diagnostic sensitivity of VR,MPR and CPR for rib fracture malunion was 52.67%,79.84%and 91.36%,the specificity was 99.58%,97.89%and 99.15%,the accuracy was 83.66%,91.76%and 96.51%,the Youden index was 0.52,0.78 and 0.91,the AUC was 0.761,0.889 and 0.953,respectively.Compared with VR,there were statistically signifi-cant differences in the number of broken rib end misalignment over 1/3,broken rib end overlap,bro-ken rib end angulation and intercostal bridge detected in MPR(P<0.05).Compared with VR,there was a statistically significant difference in the number of different types of rib fracture malunion de-tected by CPR(P<0.05).Compared with MPR,there were statistically significant differences in the number of broken rib end misalignment over 1/3,broken rib end separation and intercostal bridge de-tected in CPR(P<0.05).Conclusion The three image post-processing techniques are of great signifi-cance for the identification of rib fracture malunion.Especially CPR is highly effective in the diagno-sis of rib fracture malunion,and can be used as the main post-processing technique for forensic clini-cal identification of rib fracture malunion.

Based on the pathogenesis of “tendon off-position and joint subluxation”， combined with modern ana-tomy and biomechanics， the characteristic manifestations of “tendon off-position” and “joint subluxation” of the knee and the intrinsic connection between them are clarified. Through sorting out the relationship between “tendon off-position and joint subluxation” and knee osteoarthritis （KOA） in modern research， it is believed that “tendon off-position and joint subluxation” is the key mechanism for the occurrence and development of KOA， and accordingly， it is proposed to take the diet as the guide， use bone manipulation for external diagnosis and treatment， use traditional Chinese medicine decoction for internal treatment， and use Daoyin exercise throughout the whole process as the strategy for KOA's comprehensive traditional Chinese medicine treatment to improve the clinical effectiveness.

BACKGROUND:"Tendon off-position"is a disease name included in the International Classification of Diseases 11th Revision,and also a clinical indication of manipulation,acupuncture and other treatments.However,its specific mechanism is still unclear.It is urgent to establish an animal model that can reflect the clinical and pathological characteristics of"tendon off-position,"so as to further study the mechanism of effective clinical treatments. OBJECTIVE:To establish an animal model of"tendon off-position"in rats based on isometric contraction of skeletal muscles,and to explore the changes of skeletal muscle function and morphological phenotype after"tendon off-position." METHODS:Sixty rats were randomly divided into control group,static-loading group and extra loading group,with twenty rats in each group.Rats in the control group were kept normally without treatment.In the latter two groups,the rats were fixed by the self-made static-loading modeling device and a static-loading(the body mass of each rats was applied as the static-loading)was applied to cause sustained isometric contraction of the upper limb muscles.Then,animal models of"tendon off-position"were successfully established.In the extra loading group,50%of the body mass was added to the ankle joint after modeling.The skeletal muscle samples were harvested at 2 and 4 weeks after modeling.The changes of limb grip strength,wet mass of skeletal muscle,and serum levels of creatine kinase-muscle and lactate dehydrogenase A were measured,and the changes of skeletal muscle histomorphology and ultrastructure were observed. RESULTS AND CONCLUSION:At 2 weeks after modeling,the rats in the static-loading group and extra loading group showed significantly decreased grip strength and wet muscle mass,significantly increased serum levels of creatine kinase-muscle and lactate dehydrogenase A,and abnormal muscle fiber morphology and structure accompanied by a large number of deposited collagen fibers.Electron microscopy results showed that the structure of myofibrils was disordered,the Z-line was distorted,and the light and dark boundaries were blurred.At 4 weeks after modeling,the grip strength of the model rats was increased compared with that at 2 weeks,the serum creatine kinase-muscle and lactate dehydrogenase A levels were decreased,and the changes of muscle fiber morphology and ultrastructure were recovered to varying degrees.It is suggested that the rat skeletal muscle injury model based on continuous isometric contraction of skeletal muscle can well reflect the pathological characteristics of"tendon off-position"at 2 weeks,and can be used to study the mechanism of acupuncture and manipulation in the treatment of"tendon off-position."

Objective:To analyze the long-term quality of life of patients with Brown Ⅱ maxillary defect repaired by tissue flap or prosthesis.Methods:Patients who underwent surgery for maxillary malignant tumors in the First Affiliated Hospital of Bengbu Medical College from 2014 to 2017 were selected to investigate the postoperative long-term (>5 years) quality of life using the fourth edition of the University of Washington quality of life questionnaire (UW-QOL). Mann Whitney U test was used to examine the differences between two groups. Results:In this study, 4 cases were lost to follow-up, 9 died, and a total of 46 valid questionnaires were collected, including 24 males and 22 females, aged 19-86 years. There were 26 cases of class Ⅱb/c and 20 cases of class Ⅱd. Tissue flap reconstruction was performed in 29 cases (tissue flap group) and prosthesis restoration in 17 cases (prosthesis group). The score of chewing QOL in the prosthesis group was higher than that in the tissue flap reconstruction group ( Z=-2.787, P=0.005), but the scores of entertainment, swallowing, speech and emotion QOL in the former group were respectively lower than those in the latter group ( Z=-3.185, -2.091, -2.556 and -1.996, respectively, all P values<0.05). In patients with Brown Ⅱb/c defect, the prosthesis repair could improve the chewing QOL score ( Z=-2.830, P=0.005), but no statistically significant differences in other QOL scores between two groups. In patients with Brown Ⅱd defect, the tissue flap reconstruction could improve the scores of pain, entertainment, swallowing and speech QOL ( Z=-2.741, -2.517, -2.320 and -2.843, respectively, all P values<0.05), and the average QOL score in tissue flap reconstruction group was also higher than that of the prosthesis group ( Z=-2.276, P=0.023). Conclusion:For postoperative long-term quality of life, both prosthesis and tissue flap reconstruction can offer satisfactory results in patients with Brown Ⅱb/c defect, and patients with Brown Ⅱd defect repaired by tissue flap reconstruction have better speech and swallowing functions. Tissue flap reconstruction may bring more entertainment and emotional benefits.

OBJECTIVE: To explore the effects of Ena/VASP gene family on the expression of glycoprotein (GP) Ib-IX complex in human megakaryoblastic leukemia Dami cells. METHODS: SiRNAs targeting Ena/VASP gene family were designed and synthesized to interfere Enah, EVL and VASP gene expression. When the siRNAs were transfected into Dami cells by using Lipofectamine^TM 2000 for 48 h, the expression of GPIb-IX complex was detected by quantitative real-time PCR, Western blot and flow cytometry. RESULTS: We successfully established siVASP , siEVL and si Enah Dami cell lines. And it was found that the expression of GPIb-IX complex had no evident reduction in siEVL or siVASP Dami cells at both mRNA and protein level, while the total protein and membrane protein of GPIb-IX complex were obviously reduced when Enah was knocked down. CONCLUSION Enah could affect the expression of GPIb-IX complex in human megakaryoblastic leukemia Dami cells, but the underlying mechanism still needs to be further explored.
Humans ; Cell Line ; Platelet Glycoprotein GPIb-IX Complex/metabolism* ; Leukemia/metabolism* ; Blood Platelets/metabolism*