ObjectiveTo investigate the change in the activity of hepatitis B virus （HBV）-specific CD8⁺ T cells after pegylated interferon-α-2b （PEG-IFN-α-2b） therapy in HBeAg-negative patients with chronic HBV infection. MethodsA total of 53 HBeAg-negative patients with chronic HBV infection who attended The First Affiliated Hospital of Xinxiang Medical University and Tangdu Hospital of Air Force Mdical University from April 2020 to June 2022 were enrolled and treated with PEG-IFN-α-2b （180 μg/week， subcutaneous injection） antiviral therapy. The study endpoint was HBsAg clearance （course of treatment<48 weeks） or 48 weeks （course of treatment≥48 weeks）. Peripheral blood mononuclear cells were isolated at baseline and study endpoint， and peripheral blood T cell counts were measured. Enzyme-linked immunospot assay was used to measure the frequency of HBV-specific CD8⁺ T cells secreting perforin， granzyme B， and interferon-γ. A total of 17 HLA-A^*02-restricted patients were selected， and CD8⁺ T cells were purified to establish direct- and indirect-contact co-culture systems for HBV-specific CD8⁺ T cells and HepG2.2.15 cells. The level of lactate dehydrogenase in supernatant was measured to calculate the mortality rate of HepG2.2.15 cells， and the levels of HBV DNA， cytotoxic molecules， and cytokines in supernatant were also measured. Flow cytometry was used to measure the expression of apoptosis ligands， and the cytotoxicity of HBV-specific CD8⁺ T cells was evaluated. The independent samples t-test or the paired t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test or the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups. ResultsThe HBsAg clearance rate at study endpoint was 30.19% （16/53）. There were no significant differences in peripheral blood T cell counts （CD3⁺， CD4⁺， and CD8⁺ T cells） between baseline and study endpoint （P>0.05）. At study endpoint， there was a significant increase in the frequency of HBV-specific CD8⁺ T cells secreting perforin， granzyme B， and interferon-γ （U=177.50， t=11.90， U=186.50， all P<0.001）， and the patients with HBsAg clearance had a significantly higher frequency of such HBV-specific CD8⁺ T cells than those without HBsAg clearance （U=120.50， t=2.73， U=121.50， all P<0.01）. In the direct- and indirect-contact co-culture systems at study endpoint， HBV-specific CD8⁺ T cells induced a significant reduction in HBV DNA in the supernatant of HepG2.2.15 cells （all P<0.001） and significant increases in the secretion of interferon-γ and tumor necrosis factor-α （all P<0.05）； in the direct-contact co-culture system， HBV-specific CD8⁺ T cells induced significant increases in the mortality rate of HepG2.2.15 cells （13.62%±3.27% vs 11.39%±2.40%， t=2.27， P=0.030） and the secretion of perforin and granzyme B （t=72.50， U=52.50， both P<0.05）. In the direct- and indirect-contact co-culture systems， compared with HBV-specific CD8⁺ T cells from the patients without HBsAg clearance， the HBV-specific CD8⁺ T cells from patients with HBsAg clearance had a significantly greater reduction in HBV DNA （P<0.05） and significant increases in the secretion of interferon-γ and tumor necrosis factor-α （P<0.05）. ConclusionPEG-IFN-‍α‍-2b therapy can help to achieve a relatively high HBsAg clearance rate in HBeAg-negative patients with chronic HBV infection， and the activity of HBV-specific CD8⁺ T cells is significantly enhanced， which is closely associated with HBsAg clearance.

Objective:To construct a machine learning model based on localization CT-based radiomics, dosiomics and clinical features for predicting radiotherapy response in non-small cell lung cancer (NSCLC) and validate its application value.Methods:A retrospective case series study was conducted. A total of 138 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022 were selected. The efficacy was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, and the patients were stratified according to the objective remission (complete remission+partial remission). Random stratified sampling was used to divide the 138 patients into a training group (96 cases) and an internal validation group (42 cases) at a ratio of 7∶3. Additionally, 33 patients who received radiotherapy at Jining Cancer Hospital from January 2019 to December 2022 were included as the external validation group. Based on the pre-radiotherapy data of the radiotherapy planning system, PyRadiomics software package was used to extract 107 radiomics features and 107 dosiomics features for each patient. Pearson correlation analysis and LASSO regression analysis were used for dimensionality reduction screening; the final selected features were weighted and integrated to generate radiomics-dosiomics scores (RDS), which were then input into logistic regression (LR), support vector machine (SVM), extremely randomized forest (Extra Trees), K-nearest neighbor algorithm (KNN), lightweight gradient boosting machine (Light GBM), and multi-layer perceptron (MLP) machine learning algorithms to construct 6 radiomics-dosiomics models (RDM) for predicting the objective remission. RECIST 1.1 standard was used to evaluate objective remission as the gold standard, receiver operating characteristic (ROC) curve of 6 RDM for predicting objective remission was plotted, and the optimal algorithm for RDM was selected. Univariate and multivariate logistic regression were performed on demographic characteristics, hematological indicators and radiotherapy parameters of the training group to screen independent risk factors for NSCLC patients who received radiotherapy but did not achieve objective remission. These factors were input into the optimal machine learning algorithm to construct a clinical model (CM). Combined with features from RDS and CM, the clinical feature-radiomics-dosiomics combined model (CRDM) was established, and the nomogram of the model for predicting objective remission in NSCLC patients with radiotherapy was drawn. ROC curves were used to evaluate the efficacy of CM, RDM and CRDM in predicting the objective remission in NSCLC patients with radiotherapy in the training group, internal validation group and external validation group.Results:Four radiomics features (including grayscale variance, low grayscale long-range operation emphasis, low grayscale area emphasis, and small area low grayscale area emphasis, all of which were texture features) and 6 dosiomics features [including 1 first-order feature (robust mean absolute deviation), 4 texture features (grayscale non-uniformity, large area emphasis, large area high grayscale emphasis, contrast) and 1 shape feature (shortest axis length)] were selected. ROC curve analysis showed that the area under the curve (AUC) of the RDM constructed using SVM algorithm for judging the objective remission in the training group and the internal validation group was 0.907 (95% CI: 0.836-0.977) and 0.822 (95% CI: 0.685-0.959), which were higher than RDM constructed using other algorithms, and the sensitivity (96.2% and 91.7%), specificity (78.6% and 76.7%) and accuracy (83.3% and 81.0%) at the optimal cut-off values were all higher. Considering the stability and generalization ability of the model, SVM algorithm was ultimately used to construct RDM, CM and CRDM uniformly. Based on training group data, univariate and multivariate logistic regression analysis showed that elevated platelet-to-lymphocyte ratio (PLR) ( OR = 1.001, 95% CI: 1.000-1.003, P = 0.035) and increased target volume of radiotherapy plan ( OR = 1.001, 95% CI: 1.000-1.001, P = 0.008) were independent risk factors for failure to achieve objective remission. ROC curve analysis showed that in the training group and the internal validation group, the AUC of CRDM predicting objective remission were 0.914 (95% CI: 0.856-0.972) and 0.864 (95% CI: 0.754-0.974), respectively, which were better than CM [AUC were 0.735 (95% CI: 0.612-0.857) and 0.697 (95% CI: 0.507-0.888)] and RDM, respectively. In the external validation group, the AUC of CRDM, CM and RDM were 0.778 (95% CI: 0.500-1.000), 0.667 (95% CI: 0.434-0.899) and 0.741 (95% CI: 0.463-1.000), respectively. Conclusions:The CRDM constructed by combining radiomics, dosiomics and clinical features can comprehensively and accurately evaluate the radiotherapy response of NSCLC patients, and may have important clinical application value in achieving precision medicine and optimizing treatment strategies.

Objective:To construct a machine learning model based on localization CT-based radiomics, dosiomics and clinical features for predicting radiotherapy response in non-small cell lung cancer (NSCLC) and validate its application value.Methods:A retrospective case series study was conducted. A total of 138 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022 were selected. The efficacy was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, and the patients were stratified according to the objective remission (complete remission+partial remission). Random stratified sampling was used to divide the 138 patients into a training group (96 cases) and an internal validation group (42 cases) at a ratio of 7∶3. Additionally, 33 patients who received radiotherapy at Jining Cancer Hospital from January 2019 to December 2022 were included as the external validation group. Based on the pre-radiotherapy data of the radiotherapy planning system, PyRadiomics software package was used to extract 107 radiomics features and 107 dosiomics features for each patient. Pearson correlation analysis and LASSO regression analysis were used for dimensionality reduction screening; the final selected features were weighted and integrated to generate radiomics-dosiomics scores (RDS), which were then input into logistic regression (LR), support vector machine (SVM), extremely randomized forest (Extra Trees), K-nearest neighbor algorithm (KNN), lightweight gradient boosting machine (Light GBM), and multi-layer perceptron (MLP) machine learning algorithms to construct 6 radiomics-dosiomics models (RDM) for predicting the objective remission. RECIST 1.1 standard was used to evaluate objective remission as the gold standard, receiver operating characteristic (ROC) curve of 6 RDM for predicting objective remission was plotted, and the optimal algorithm for RDM was selected. Univariate and multivariate logistic regression were performed on demographic characteristics, hematological indicators and radiotherapy parameters of the training group to screen independent risk factors for NSCLC patients who received radiotherapy but did not achieve objective remission. These factors were input into the optimal machine learning algorithm to construct a clinical model (CM). Combined with features from RDS and CM, the clinical feature-radiomics-dosiomics combined model (CRDM) was established, and the nomogram of the model for predicting objective remission in NSCLC patients with radiotherapy was drawn. ROC curves were used to evaluate the efficacy of CM, RDM and CRDM in predicting the objective remission in NSCLC patients with radiotherapy in the training group, internal validation group and external validation group.Results:Four radiomics features (including grayscale variance, low grayscale long-range operation emphasis, low grayscale area emphasis, and small area low grayscale area emphasis, all of which were texture features) and 6 dosiomics features [including 1 first-order feature (robust mean absolute deviation), 4 texture features (grayscale non-uniformity, large area emphasis, large area high grayscale emphasis, contrast) and 1 shape feature (shortest axis length)] were selected. ROC curve analysis showed that the area under the curve (AUC) of the RDM constructed using SVM algorithm for judging the objective remission in the training group and the internal validation group was 0.907 (95% CI: 0.836-0.977) and 0.822 (95% CI: 0.685-0.959), which were higher than RDM constructed using other algorithms, and the sensitivity (96.2% and 91.7%), specificity (78.6% and 76.7%) and accuracy (83.3% and 81.0%) at the optimal cut-off values were all higher. Considering the stability and generalization ability of the model, SVM algorithm was ultimately used to construct RDM, CM and CRDM uniformly. Based on training group data, univariate and multivariate logistic regression analysis showed that elevated platelet-to-lymphocyte ratio (PLR) ( OR = 1.001, 95% CI: 1.000-1.003, P = 0.035) and increased target volume of radiotherapy plan ( OR = 1.001, 95% CI: 1.000-1.001, P = 0.008) were independent risk factors for failure to achieve objective remission. ROC curve analysis showed that in the training group and the internal validation group, the AUC of CRDM predicting objective remission were 0.914 (95% CI: 0.856-0.972) and 0.864 (95% CI: 0.754-0.974), respectively, which were better than CM [AUC were 0.735 (95% CI: 0.612-0.857) and 0.697 (95% CI: 0.507-0.888)] and RDM, respectively. In the external validation group, the AUC of CRDM, CM and RDM were 0.778 (95% CI: 0.500-1.000), 0.667 (95% CI: 0.434-0.899) and 0.741 (95% CI: 0.463-1.000), respectively. Conclusions:The CRDM constructed by combining radiomics, dosiomics and clinical features can comprehensively and accurately evaluate the radiotherapy response of NSCLC patients, and may have important clinical application value in achieving precision medicine and optimizing treatment strategies.

Objective To investigate the effect of prostaglandin family(PGs)on non-alcoholic fatty liver disease(NAFLD).Methods HepG2 cells,a human hepatocellular carcinoma cell line,were used as the research subject.The experiment was set up as a control group(Ctrl),fatty change group(FFA),prostaglandin B2(PGB2,10 μg/mL)treatment group,15-keto-prostaglandin E2(15-keto-PGE2,10 μg/mL)treatment group,and 8-iso-prostaglandin F2a(8-iso-PGF2α,10 μg/mL)treatment group.Cell activity was determined by the thiazolyl blue(MTT)assay and lipid deposition was detected by the oil red O staining.The expression levels of inflammatory factors and phosphorylated insulin receptor substrates(p-IRS)were determined by real-time fluorescence quantitative PCR(qRT-PCR)and Western blot,respectively.In addition,15 SPF-grade male C57BL/6J mice were randomly divided into a basic group(CD group,n=5,fed with 10％low-fat forage for 16 weeks),high-fat group(HFD group,n=5,fed with 60％high-fat forage for 16 weeks to model NAFLD),and PGB2 group(n=5,given 20 μg/kg PGB2 daily by tail vein injection for 2 weeks after 16 weeks of 60％high-fat diet feeding).The glucose tolerance level of the mice was detected by the intraperitoneal glucose tolerance test(IPGTT)and the degree of hepatic steatosis was determined by HE staining.Results Oil red O staining showed that PGs had no sig-nificant effect on the lipid deposition of NAFLD,but PGs were able to alleviate the inflammation associated with NAFLD.qRT-PCR re-sults showed that compared with the Ctrl group,the levels of IL-1β in the FFA group increased by 2.274±0.550 times(P=0.002 8),while under the action of 50 μg/mL PGB2,10 μg/mL 15-keto-PGE2 and 10 μg/mL 8-iso-PGF2α,the levels of IL-1β decreased to 0.720±0.036 times(P=0.003 1),0.857±0.225 times(P=0.006 4),and 1.767±0.725 times(P=0.029 7),respectively.Western blot results showed that after PGs treatment,the expression level of p-IRS protein was increased.The body weights of mice in the CD group,HFD group and PGB2 group were(28.560±2.028)g,(49.300±0.667)g,and(40.840±4.043)g,respectively,with statisti-cally significant differences between the groups(P=0.001 7).Moreover,the glucose tolerance results in the PGB2 group were better than those in the HFD group.HE staining results showed compared with the HFD group,the degree of hepatic steatosis in the PGB2 group was reduced.Conclusion PGB2,15-keto-PGE2,and 8-iso-PGF2α in the prostaglandin family can alleviate the occurrence and development of NAFLD by alleviating IL-1β-mediated inflammation,upregulating the expression of p-IRS,promoting the transmission of insulin signaling,and attenuating insulin resistance.

Dynamic tracking analysis of monoclonal antibodies (mAbs) biotransformation in vivo is crucial, as certain modifications could inactivate the protein and reduce drug efficacy. However, a particular challenge (i.e. immune recognition deficiencies) in biotransformation studies may arise when modifications occur at the paratope recognized by the antigen. To address this limitation, a multi-epitope affinity technology utilizing the metal organic framework (MOF)@Au@peptide@aptamer composite material was proposed and developed by simultaneously immobilizing complementarity determining region (CDR) mimotope peptide (HH24) and non-CDR mimotope aptamer (CH1S-6T) onto the surface of MOF@Au nanocomposite. Comparative studies demonstrated that MOF@Au@peptide@aptamer exhibited significantly enhanced enrichment capabilities for trastuzumab variants in comparison to mono-epitope affinity technology. Moreover, the higher deamidation ratio for LC-Asn-30 and isomerization ratio for HC-Asn-55 can only be monitored by the novel bioanalytical platform based on MOF@Au@peptide@aptamer and liquid chromatography-quadrupole time of flight-mass spectrometry (LC-QTOF-MS). Therefore, multi-epitope affinity technology could effectively overcome the biases of traditional affinity materials for key sites modification analysis of mAb. Particularly, the novel bioanalytical platform can be successfully used for the tracking analysis of trastuzumab modifications in different biological fluids. Compared to the spiked phosphate buffer (PB) model, faster modification trends were monitored in the spiked serum and patients' sera due to the catalytic effect of plasma proteins and relevant proteases. Differences in peptide modification levels of trastuzumab in patients' sera were also monitored. In summary, the novel bioanalytical platform based on the multi-epitope affinity technology holds great potentials for in vivo biotransformation analysis of mAb, contributing to improved understanding and paving the way for future research and clinical applications.

Dynamic tracking analysis of monoclonal antibodies(mAbs)biotransformation in vivo is crucial,as certain modifications could inactivate the protein and reduce drug efficacy.However,a particular chal-lenge(i.e.immune recognition deficiencies)in biotransformation studies may arise when modifications occur at the paratope recognized by the antigen.To address this limitation,a multi-epitope affinity technology utilizing the metal organic framework(MOF)@Au@peptide@aptamer composite material was proposed and developed by simultaneously immobilizing complementarity determining region(CDR)mimotope peptide(HH24)and non-CDR mimotope aptamer(CH1S-6T)onto the surface of MOF@Au nanocomposite.Comparative studies demonstrated that MOF@Au@peptide@aptamer exhibited signifi-cantly enhanced enrichment capabilities for trastuzumab variants in comparison to mono-epitope af-finity technology.Moreover,the higher deamidation ratio for LC-Asn-30 and isomerization ratio for HC-Asn-55 can only be monitored by the novel bioanalytical platform based on MOF@Au@peptide@aptamer and liquid chromatography-quadrupole time of flight-mass spectrometry(LC-QTOF-MS).Therefore,multi-epitope affinity technology could effectively overcome the biases of traditional affinity materials for key sites modification analysis of mAb.Particularly,the novel bioanalytical platform can be suc-cessfully used for the tracking analysis of trastuzumab modifications in different biological fluids.Compared to the spiked phosphate buffer(PB)model,faster modification trends were monitored in the spiked serum and patients'sera due to the catalytic effect of plasma proteins and relevant proteases.Differences in peptide modification levels of trastuzumab in patients'sera were also monitored.In summary,the novel bioanalytical platform based on the multi-epitope affinity technology holds great potentials for in vivo biotransformation analysis of mAb,contributing to improved understanding and paving the way for future research and clinical applications.

Depressive disorder ranks as a major bur-den of disease worldwide,yet the current antidepressant medications are limited by frequent non-responsiveness and significant side effects.The lateral septum(LS)is thought to control of depression,however,the cellular and circuit substrates are largely unknown.Here,we identified a subpopulation of LS GABAergic adenosine A2A receptors(A2AR)-positive neurons mediating depres-sive symptoms via direct projects to the lateral habenula(LHb)and the dorsomedial hypothalamus(DMH).Activa-tion of A2AR in the LS augmented the spiking frequency of A2AR-positive neurons leading to a decreased activation of surrounding neurons and the bi-directional manipula-tion of LS-A2AR activity demonstrated that LS-A2ARs are necessary and sufficient to trigger depressive pheno-types.Thus,the optogenetic modulation(stimulation or inhibition)of LS-A2AR-positive neuronal activity or LS-A2AR-positive neurons projection terminals to the LHb or DMH,phenocopied depressive behaviors.Moreover,A2AR are upregulated in the LS in two male mouse mod-els of repeated stress-induced depression.This identifica-tion that aberrantly increased A2AR signaling in the LS is a critical upstream regulator of repeated stress-induced depressive-like behaviors provides a neurophysiological and circuit-based justification of the antidepressant poten-tial of A2AR antagonists,prompting their clinical transla-tion.

Objective:To investigate whether salidroside (SAL) improves lung tissue injury in rats with severe pneumonia (SP) through mediating toll-like receptor 4/nuclear transcription factor-κB/NOD-like receptor protein 3 (TLR4/NF-κB/NLRP3) signaling pathway.Methods:Seventy-five Wistar rats were used in this study. Fifteen of them were randomly selected as the sham operation group, and the others were induced by endotracheal infusion of Klebsiella pneumoniae ( Kp) suspension to construct a rat model of SP. After modeling, the rats were randomly divided into four groups with 15 rats in each group: model group, low-dose SAL group (30 mg/kg), high-dose SAL group (60 mg/kg) and dexamethasone (DXMS, 15 mg/kg) group. The sham operation group and the model group were given the same amount of normal saline for seven consecutive days. The wet-dry weight ratio (W/D) of lung tissues in each group was detected. HE and TUNEL staining methods were used to observe the morphology of lung tissues and cell apoptosis. The levels of TNF-α, IL-1β, IL-6, IL-18 and IL-10 in bronchoalveolar lavage fluid (BALF) were detected by ELISA. The expression of TLR4, myeloid differentiation factor (MyD88), NF-κBp65, phosphorylated NF-κBp65 (p-NF-κBp65) and NLRP3 at protein level in lung tissues was detected by Western blot. Results:The rat model of SP was successfully constructed by endotracheal infusion of Kp suspension. Compared with the sham operation group, the model group showed more severe edema of lung tissues, increased W/D value ( P<0.05), loose and incomplete alveolar structure, edema of alveolar wall and thickened alveolar wall, massive inflammatory cell infiltration, increased apoptosis rate as well as higher levels of TNF-α, IL-1β, IL-6 and IL-18 and lower lover of IL-10 in BALF. Moreover, the relative expression of TLR4, MyD88, NF-κBp65, p-NF-κBp65 and NLRP3 at protein level in lung tissues was increased in the model group ( P<0.05). Gradually improved pathological injury of lung tissues, decreased W/D value ( P<0.05), recovered alveolar structure, reduced alveolar wall edema and decreased cell apoptosis rate were observed in the low-dose and high-dose SAL groups as well as the DXMS group as compared with those of the model group. Besides, the three groups also showed decreased levels of TNF-α, IL-1β, IL-6 and IL-18 and increased level of IL-10 in BALF, and inhibited expression of TLR4, MyD88, NF-κBp65, p-NF-κBp65 and NLRP3 at protein level in lung tissues ( P<0.05). DXMS performed better in improving lung injury in rats with SP, followed by high and low doses of SAL ( P<0.05). Conclusions:SAL could reduce cell apoptosis and improve the Kp-induced lung injury in rats. The mechanism might be related to the blockage of TLR4/NF-κB/NLRP3 signaling pathway activation and inhibition of inflammatory factor expression.

Objective:To assess the efficacy and safety of 100 units of botulinum toxin A (BTX-A) intradetrusor injection in patients with overactive bladder.Methods:From April 2016 to December 2018, 17 tertiary hospitals were selected to participate in this prospective, multicenter, randomized, double-blind, placebo-controlled study. Two phases of study were conducted: the primary phase and the extended phase. This study enrolled patients aged 18 to 75 years who had been inadequately managed by anticholinergic therapy (insufficient efficacy or intolerable side effects) and had spontaneous voiding with overactive bladder. Exclusion criteria included patients with severe cardiac, renal and hepatic disorders, patients with previous botulinum toxin treatment for 6 months or allergic to BTX-A, patients with urinary tract infections, patients with urinary stones, urinary tract tumors, diabetes mellitus, and bleeding tendency. Eligible patients were randomly assigned to BTX-A group and placebo control group in a ratio of 2∶1. Two groups of patients received 20 intradetrusor injections of BTX-A 100U or placebo at the depth of the submucosal muscle layer respectively under cystoscope, including 5 injections at the base of the bladder, 3 injections to the bladder triangle, 5 injections each to the left and right walls and 2 injections to the top, sparing the bladder neck. As a placebo control group, patients received same volume of placebo containing no BTX-A and only adjuvant freeze-dried preparations for injection with the same method. A combination of gelatin, sucrose, and dextran served as adjuvants. Average micturition times per 24 hours, urinary incontinence (UI) episodes per day, average micturition volume per day, OAB symptom score(OABSS), and quality of life (QOL) score were recorded at baseline and the 2nd, 6th and 12th week after treatment. The primary efficacy endpoint was the change from baseline in the average micturition times per 24 hours at the 6th week after treatment. The secondary efficacy endpoints included the change from baseline in the average micturition times per 24 hours at 2nd and 12th week, as well as the change from baseline in the OABSS, QOL score, average frequency of urgency and UI episodes per day, urgency score, average micturition volume per day at 2nd, 6th and 12th week after treatment. Patients were followed for 12 weeks to assess adverse events (AEs). After assessed at week 12, if the micturition times has decreased less than 50% compared to baseline and the patient is willing to receive retreatment, then patients could enter the extended trial phase. In that phase, patients in both groups were injected with 100 units BTX-A from 12th week onwards and then followed up the same indicators for 12 weeks.Results:216 patients were enrolled in this trial (144 cases in the BTX-A group and 72 cases in the placebo control group). Baseline characteristics such as age (47.75±14.20 in the BTX-A group and 46.39±15.55 in the control group), sex (25 male/117 female in the BTX-A group and 10/61 in the control group), and disease duration (0.51 years in the BTX-A group and 0.60 years in the control group) were balanced between the two groups( P>0.05). A marked reduction from baseline in average micturition times per 24 hours was observed in all treatment groups at the 6th week and the reduction of the two groups was statistically different ( P<0.001 and P=0.008 respectively). Compared with the baseline, the average micturition times per 24 hours at the 6th week decreased from baseline by 2.40(0.70, 4.60)times for the BTX-A group and 0.70(-1.00, 3.30) times for the placebo control group respectively, and the difference between the two groups was considered to be statistically significant ( P=0.003). The change rates of average micturition times per 24 hours from baseline at the 6th week of the two groups were (16±22)% and (8±25)% respectively, and the difference between the two groups was statistically significant ( P=0.014). Compared with the baseline, the average micturition times per 24 hours at 2nd and 12th week decreased by 2.00(0.00, 4.00)and 3.30(0.60, 5.03)for the BTX-A group, 1.00(-1.00, 3.00)and 1.70(-1.45, 3.85)for the placebo control group respectively. The difference between two groups was considered to be statistically significant ( P=0.038 and P=0.012); the changes of average urgency times per day for the BTX-A group and the control group at the 2nd, 6th and 12th week were 2.00(0.00, 4.30)and 2.40(0.30, 5.00), 3.00(0.30, 5.70)and 0.70(-1.30, 2.70), 0.70(-1.30, 3.00) and 1.35(-1.15, 3.50), respectively. There were significant differences between two groups at the 2nd, 6th and 12th week, ( P=0.010, P=0.003 and P=0.025, respectively). The OABSS of the BTX-A group and the control group at the 6th week decreased by 1.00(0.00, 4.00)and 0.50(-1.00, 2.00) compared with the baseline, and the difference between the two groups was statistically significant ( P=0.003). 47 cases of BTX-A group and 34 cases of placebo control group entered the extended trial phase, and 40 and 28 cases completed the extended trial phase, respectively. The average micturition volume per 24 hours changed by -16.60(-41.60, -0.60)ml and -6.40(-22.40, 13.30)ml, (-35.67±54.41)ml and(-1.76±48.69)ml, (-36.14±41.51)ml and (-9.28±44.59)ml, (-35.85±43.35)ml and(-10.41±40.29)ml for two groups at the 12th, 14th, 18th and 24th week, and the difference between two groups was statistically significant at each follow-up time ( P=0.01, 0.006, 0.012 and 0.016, respectively). There was no significant difference in other parameters( P>0.05). However, adverse reactions after intradetrusor injection included increased residual urine volume (27 in the BTX-A group and 3 in the control group), dysuria (21 in the BTX-A group and 6 in the control group), urinary infection (19 in the BTX-A group and 6 in the control group), bladder neck obstruction (3 in the BTX-A group and 0 in the control group), hematuria (3 in the BTX-A group and 1 in the control group), elevated alanine aminotransferase (3 in the BTX-A group and 0 in the control group), etc. During the follow-up period, there was no significant difference in the other adverse events between two groups except the increase of residual urine volume( P<0.05). In the primary trial phase, among the 27 cases with increased residual urine volume in BTA group, only 1 case (3.70%) with PVR more than 300 ml; the PVR of 3 patients in the placebo group was less than 100 ml. The increase of residual urine volume caused by the injection could be improved or disappeared with the passage of time. Conclusions:Intradetrusor injection of Chinese BTX-A improved the average micturition times per 24 hours, the average daily urgent micturition times, OABSS, and average micturition volume per time, and reduced the adverse effects in patients with overactive bladder.Chinese BTX-A at dose of 100U demonstrated durable efficacy and safety in the management of overactive bladder.