Aim To explore the mechanism by which dioscin regulates IL-17+γδT cells in the treatment of arthritis.Methods A collagen-induced arthritis(CIA)model was established in DBA/1 mice using bovine type Ⅱ collagen.The mice were randomly divid-ed into the CIA model group,methotrexate(MTX)positive control group,and dioscin low-dose(Dioscin-L),medium-dose(Dioscin-M),and high-dose(Dios-cin-H)groups.After intervention,the therapeutic effects were evaluated using scoring methods.Joint pathological damage was analyzed by hematoxylin and eosin(HE)staining.The levels of anti-collagen-spe-cific antibodies and the pro-inflammatory cytokine IL-17 were measured by ELISA.The expressions of γδT cells and their subtypes,as well as the secretion level of IL-17,were detected by flow cytometry.Results Dioscin significantly reduced the arthritis severity score in collagen-induced arthritis(CIA)mice,alleviated joint pathological damage,inhibited the production of IL-17 by splenic lymphocytes and the levels of anti-col-lagen-specific antibodies total IgG and IgG3,and de-creased the proportion of γδT cells in the lymph nodes,splenic γδT cells,and the Vδ4+T-cell subset.The level of IL-17 produced by the Vδ4 subtype in the lymph nodes of the intervention groups was lower than that in the model group,but the difference was not sta-tistically significant.Conclusion Dioscin has signifi-cant therapeutic effect on CIA,and its mechanism may be through the inhibition of γδT cells,but it is unlikely to be related to IL-17 derived from γδT cells.

Aim To explore the mechanism by which dioscin regulates IL-17+γδT cells in the treatment of arthritis.Methods A collagen-induced arthritis(CIA)model was established in DBA/1 mice using bovine type Ⅱ collagen.The mice were randomly divid-ed into the CIA model group,methotrexate(MTX)positive control group,and dioscin low-dose(Dioscin-L),medium-dose(Dioscin-M),and high-dose(Dios-cin-H)groups.After intervention,the therapeutic effects were evaluated using scoring methods.Joint pathological damage was analyzed by hematoxylin and eosin(HE)staining.The levels of anti-collagen-spe-cific antibodies and the pro-inflammatory cytokine IL-17 were measured by ELISA.The expressions of γδT cells and their subtypes,as well as the secretion level of IL-17,were detected by flow cytometry.Results Dioscin significantly reduced the arthritis severity score in collagen-induced arthritis(CIA)mice,alleviated joint pathological damage,inhibited the production of IL-17 by splenic lymphocytes and the levels of anti-col-lagen-specific antibodies total IgG and IgG3,and de-creased the proportion of γδT cells in the lymph nodes,splenic γδT cells,and the Vδ4+T-cell subset.The level of IL-17 produced by the Vδ4 subtype in the lymph nodes of the intervention groups was lower than that in the model group,but the difference was not sta-tistically significant.Conclusion Dioscin has signifi-cant therapeutic effect on CIA,and its mechanism may be through the inhibition of γδT cells,but it is unlikely to be related to IL-17 derived from γδT cells.

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective To evaluate the management and indicators of pathogen detection before antimicrobial treat-ment for inpatients in second level and above medical institutions(MIs)in Guangdong Province,and provide direc-tion and decision-making basis for the improvement of pathogen detection quality in the region.Methods The ma-nagement status,information system functions,and pathogen detection rate indicators of secondary and above MIs in 21 cities in Guangdong Province was surveyed through online questionnaire surveys and system submission.A baseline survey on sentinel monitoring MIs was conducted from July 15th to August 8th,2023.From November 7th to 30th,a baseline survey on non-sentinel monitoring MIs was launched.Surveys on indicator information of all MIs were completed from January 15th to 30th,2024.Results A total of 265 MIs were surveyed,and the proportions of establishing special working groups(83.98％),developing special action improvement plans(79.01％),estab-lishing pathogen detection rate management systems(91.71％),and developing management assessment plans(76.80％)of tertiary MIs were all higher than that of secondary MIs,differences were all statistically significant(all P＜0.05).The proportion of tertiary MIs with various information system functions was higher than that of secondary MIs(all P＜0.05).The pathogen detection rate(61.07％)before antimicrobial treatment and health-care-associated infection(HAI)diagnosis-related pathogen detection rate(88.00％)of inpatients in tertiary MIs were both higher than those in secondary MIs(both P＜0.05).Among different types of MIs,pathogen detection rate before antimicrobial treatment of inpatients in maternal and child health MIs was higher than that in other types of MIs.HAI diagnosis-related pathogen detection rate in other specialized hospitals was the highest,and pathogen detection rate before combined use of key antimicrobial treatment in traditional Chinese medicine hospitals was the lowest,differences were all statistically significant(all P＜0.05).Conclusion Tertiary MIs have more advantages in management strategies and information technology construction than secondary MIs,secondary MIs need more guidance and support.Monitoring and analysis of pathogen detection rate indicators in MIs of different levels and types should be strengthened through special actions.

OBJECTIVE: The mode of human immunodeficiency virus (HIV) transmission via injection drug use (IDU) still exists, and the recent shift in IDU-related transmission of HIV infection is largely unknown. The purpose of this study was to analyze the spatiotemporal sources and dynamics of HIV-1 transmission through IDU in Guangxi. METHODS: We performed a molecular epidemiological investigation of infections across Guangxi from 2009 to 2019. Phylogenetic and Bayesian time-geographic analyses of HIV-1 sequences were performed to confirm the characteristics of transmission between IDUs in combination with epidemiological data. RESULTS: Among the 535 subjects, CRF08_BC (57.4%), CRF01_AE (28.4%), and CRF07_BC (10.7%) were the top 3 HIV strains; 72.6% of infections were linked to other provinces in the transmission network; 93.6% of sequence-transmitted strains were locally endemic, with the rest coming from other provinces, predominantly Guangdong and Yunnan; 92.1% of the HIV transmission among people who inject drugs tended to be transmitted between HIV-positive IDUs. CONCLUSION HIV recombinants were high diversity, and circulating local strains were the transmission sources among IDUs in Guangxi. However, there were still cases of IDUs linked to other provinces. Coverage of traditional prevention strategies should be expanded, and inter-provincial collaboration between Guangxi, Yunnan, and Guangdong provinces should be strengthened.
Humans ; HIV-1/genetics* ; HIV Infections ; Drug Users ; Phylogeny ; Bayes Theorem ; China/epidemiology* ; Genotype

Objective: To compare the accuracy and retention of denture bases fabricated by injection molding, milling, and three-dimensional (3D) printing fabricating, in order to provide some references for clinical practice. Methods: A maxillary edentulous jaw model made was used to duplicated 10 working casts. The casts were numbered and scanned. The wax pattern was designed by digital ways and conventional methods and then the denture bases were fabricated by injection molding, milling, and 3D printing. The tissue surface of experimental denture base was obtained using a dental laboratory scanner. The deviation between the tissue surface of the fabricated denture bases and the working model was evaluated. A digital force gauge was used to measure the traction force. Results: The milling group [(0.076±0.026) mm] was more accurate than the 3D printing group [(0.117±0.041) mm] (P<0.05) and the injection group [(0.120± 0.025) mm] (P<0.05). The accuracy of 3D printing group and that of injection group were not statistically significant (P>0.05). The milling group [(9.55±2.44) N] demonstrated greater retentive force than 3D printing group [(5.19±0.06) N] and injection molding group [(1.52±0.52) N] (P<0.05). Conclusions: The denture base fabricated by milling was more accurate and showed the greatest retentive force than the other groups. And 3D printing group showed better retentive force than the injection molding group. Both digital manufacturing methods can meet the requirements of clinical application.
Computer-Aided Design ; Denture Bases ; Humans ; Jaw, Edentulous ; Maxilla ; Printing, Three-Dimensional

OBJECTIVES: To study the early clinical efficacy of combined therapy of stage 4 neuroblastoma. METHODS: A retrospective analysis was performed on the medical data and follow-up data of 14 children with stage 4 neuroblastoma who were diagnosed in Hong Kong University-Shenzhen Hospital from January 2016 to June 2021. RESULTS: The median age of onset was 3 years and 7.5 months in these 14 children. Among these children, 9 had positive results of bone marrow biopsy, 4 had N-Myc gene amplification, 13 had an increase in neuron-specific enolase, and 7 had an increase in vanilmandelic acid in urine. Based on the results of pathological examination, differentiated type was observed in 6 children, undifferentiated type in one child, mixed type, in one child and poorly differentiated type in 6 children. Of all the children, 10 received chemotherapy with the N7 regimen (including 2 children receiving arsenic trioxide in addition) and 4 received chemotherapy with the Rapid COJEC regimen. Thirteen children underwent surgery, 14 received hematopoietic stem cell transplantation, and 10 received radiotherapy. A total of 8 children received Ch14.18/CHO immunotherapy, among whom 1 child discontinued due to anaphylactic shock during immunotherapy, and the other 7 children completed Ch14.18/CHO treatment without serious adverse events, among whom 1 child was treated with Lu177 Dotatate 3 times after recurrence and is still undergoing chemotherapy at present. The median follow-up time was 45 months for all the 14 children. Four children experienced recurrence within 2 years, and the 2-year overall survival rate was 100%; 4 children experienced recurrence within 3 years, and 7 achieved disease-free survival within 3 years. CONCLUSIONS Multidisciplinary combined therapy is recommended for children with stage 4 neuroblastoma and can help them achieve better survival and prognosis.
Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Child ; Child, Preschool ; Combined Modality Therapy ; Humans ; Infant ; Neuroblastoma/drug therapy* ; Positron-Emission Tomography ; Radionuclide Imaging ; Retrospective Studies ; Treatment Outcome

OBJECTIVE: To observe the protective effect of electroacupuncture (EA) at Neiguan (PC 6) on pulmonary function during one-lung ventilation (OLV) in patients with lobectomy, and explore its action mechanism. METHODS: Sixty patients with lobectomy were randomly divided into an observation group and a control group, 30 cases in each one. The patients in the control group were treated with general anesthesia, and OLV was given when surgery began; when the surgery finished, air was removed from the thoracic cavity and two-lung ventilation was performed. On the basis of the treatment in the control group, the patients in the observation group were treated with EA (disperse-dense wave, 2 Hz/100 Hz of frequency) at Neiguan (PC 6) 30 min before anesthesia induction until the end of the surgery. The pulmonary function indexes [arterial partial pressure of oxygen (PaO RESULTS: Compared with T CONCLUSION EA at Neiguan (PC 6) has protective effects on lung injury induced by OLV after lobectomy, and its mechanism may be related to the improvement of oxidative stress and inflammatory response.
Anesthesia, General ; Electroacupuncture ; Humans ; Lung ; Lung Injury ; One-Lung Ventilation

Purpose: This study assessed the correlation between Epstein-Barr virus (EBV) biomarkers and the eighth American Joint Committee on Cancer staging system and the prognostic values of IgG antibodies against replication and transcription activator (Rta-IgG), IgA antibodies against Epstein-Barr nuclear antigen 1, and BamH1 Z transactivator (Zta-IgA) in locoregionally advanced nasopharyngeal carcinoma (NPC) patients. Materials and Methods: Serum EBV antibody levels were measured by enzyme-linked immunosorbent assay in 435 newly diagnosed stage III-IVA NPC patients administered intensity-modulated radiation therapy±chemotherapy. The primary endpoint was progression-free survival (PFS). Results: Rta-IgG and Zta-IgA levels were positively correlated with the N category and clinical stage. Patients with high Rta-IgG levels (> 29.07 U/mL) showed a significantly inferior prognosis as indicated by PFS (77% vs. 89.8%, p=0.004), distant metastasis–free survival (DMFS) (88.3% vs. 95.8%, p=0.021), and local recurrence-free survival (LRFS) (91.2% vs. 98.3%, p=0.009). High Rta-IgG levels were also significantly associated with inferior PFS and LRFS in multivariable analyses. In the low-level EBV DNA group (≤ 1,500 copies/mL), patients with high Rta-IgG levels had significantly inferior PFS and DMFS (both p < 0.05). However, in the high-level EBV DNA group, Rta-IgG levels were not significantly associated with PFS, DMFS, and LRFS. In the advanced T category (T3-4) subgroup, high Rta-IgG levels were also significantly associated with inferior PFS, DMFS, and LRFS (both p < 0.05). Conclusion Rta-IgG and Zta-IgA levels were strongly correlated with the TNM classification. Rta-IgG level was a negative prognostic factor in locoregionally advanced NPC patients, especially those with advanced T category or low EBV DNA level.