Objective To apply an artificial intelligence (AI) -based pelvic floor optimization training system using human motion analysis technique in patients undergoing pelvic floor rehabilitation, so as to assist clinicians in providing guidance, improving clinical efficiency, and enhancing the efficacy of patients' independent training. Methods A total of 60 patients with overactive bladder (OAB) complicated with urgent urinary incontinence (UUI) treated in our hospital during Sep. 2024 and Dec. 2025 were enrolled and randomly divided into the routine guidance group (n=30) and AI guidance group (n=30). The routine guidance group received conventional pelvic floor optimization training under clinicians' instruction, while the AI guidance group underwent training with the AI-based pelvic floor optimization system using human motion analysis. After 6 weeks of intervention, outcomes were compared between the two groups, including the international consultation on incontinence questionnaire-short form (ICI-Q-SF), incontinence quality of life scale (I-QoL), overactive bladder symptom score (OABSS), patient's perception of bladder condition (PPBC) score, pelvic floor muscle function (myoelectric values in the preresting, post-resting, type Ⅰ muscle, type Ⅱ muscle, and endurance test phases), urine output, average flow rate (Qavg), and maximum flow rate (Qmax). Results After 6 weeks of treatment, the ICI-Q-SF, I-QoL, OABSS, PPBC score, type I muscle myoelectric value, Qavg and Qmax were significantly improved in both groups compared with baseline (P＜0.05). After 6 weeks of intervention, the I-QoL score was significantly higher in the AI guidance group than in the routine guidance group[81.82 (79.55, 84.38) vs.77.84 (75.00, 79.55) ], with significant difference (P＜0.05). Compared with the routine guidance group, the AI guidance group showed significant improvements in myoelectric values in the pre-resting, post-resting, type I muscle and endurance testing phases (P＜0.05). Conclusion The AI-based pelvic floor optimization training system can effectively assist clinicians in guiding patients to complete pelvic floor optimization training, improve rehabilitation efficiency and efficacy of independent exercise, and reduce dependence on specialized clinicians, which exhibits favorable safety.

Computational approaches, encompassing both physics-based and machine learning (ML) methodologies, have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities. The human dopamine (DA) transporter (hDAT) is the primary therapeutic target of numerous psychiatric medications. However, traditional hDAT-targeting drugs, which interact with the primary binding site, encounter significant limitations, including addictive potential and stimulant effects. In this study, we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape (WHALES) descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs. Initially, WHALES descriptors facilitated a similarity search, employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates. Consequently, from a compound library of 4,921 marketed and clinically tested drugs, we identified 27 candidate atypical inhibitors. Subsequently, ADMETlab was employed to predict the pharmacokinetic and toxicological properties of these candidates, while induced-fit docking (IFD) was performed to estimate their binding affinities. Six compounds were selected for in vitro assessments of neurotransmitter reuptake inhibitory activities. Among these, three exhibited significant inhibitory potency, with half maximal inhibitory concentration (IC₅₀) values of 0.753 μM, 0.542 μM, and 1.210 μM, respectively. Finally, molecular dynamics (MD) simulations and end-point binding free energy analyses were conducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation. In conclusion, our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.

Computational approaches,encompassing both physics-based and machine learning(ML)methodolo-gies,have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities.The human dopamine(DA)transporter(hDAT)is the primary therapeutic target of numerous psychi-atric medications.However,traditional hDAT-targeting drugs,which interact with the primary binding site,encounter significant limitations,including addictive potential and stimulant effects.In this study,we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape(WHALES)descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs.Initially,WHALES descriptors facilitated a similarity search,employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates.Consequently,from a compound library of 4,921 marketed and clinically tested drugs,we identified 27 candidate atypical inhibitors.Subsequently,ADMETlab was employed to predict the pharmacokinetic and toxi-cological properties of these candidates,while induced-fit docking(IFD)was performed to estimate their binding affinities.Six compounds were selected for in vitro assessments of neurotransmitter re-uptake inhibitory activities.Among these,three exhibited significant inhibitory potency,with half maximal inhibitory concentration(IC50)values of 0.753 μM,0.542 μM,and 1.210 μM,respectively.Finally,molecular dynamics(MD)simulations and end-point binding free energy analyses were con-ducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation.In conclusion,our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.

Aim Preliminarily construct a classification system for Yi medicine diseases,and establish a relatively well-defined and clear hierarchy of disease terms and their classification system.Methods Adopting the research methods of Yi medicine,terminology and standard science,and drawing on the idea of standardisation of Chinese medicine's disease classification system,through in-depth excavation of the content characteristics of the 52 excavated ancient Yi medicine books on diseases and medicines,systematically collate the terms and terminology of Yi medicine diseases,and formulate the'Three-level Class List of Yi Medicine Diseases'on the basis of the original classification of ancient books,and construct a knowledge database of Yi medicine diseases.Constructing a knowledge database of Yi medical conditions.Results To establish the principle of classification of diseases and conditions in Yi medicine,with the first level of categories being the categories of diseases and conditions in Yi medicine,the second level of categories being the categories of sections,and the third level of categories being the subcategories of speciality systems,and to establish the method of classifying the various diseases and conditions in Yi medicine into categories and systems in accordance with the established principles.Conclusion The Yi medicine disease classification system is a systematic integration and standardised classification of disease terms from Yi medicine texts and literature over the ages,which helps to lead Yi medicine clinics to carry out medical activities in accordance with their own academic and clinical trajectories,and promotes the standardised research of Yi medicine.

Aim Preliminarily construct a classification system for Yi medicine diseases,and establish a relatively well-defined and clear hierarchy of disease terms and their classification system.Methods Adopting the research methods of Yi medicine,terminology and standard science,and drawing on the idea of standardisation of Chinese medicine's disease classification system,through in-depth excavation of the content characteristics of the 52 excavated ancient Yi medicine books on diseases and medicines,systematically collate the terms and terminology of Yi medicine diseases,and formulate the'Three-level Class List of Yi Medicine Diseases'on the basis of the original classification of ancient books,and construct a knowledge database of Yi medicine diseases.Constructing a knowledge database of Yi medical conditions.Results To establish the principle of classification of diseases and conditions in Yi medicine,with the first level of categories being the categories of diseases and conditions in Yi medicine,the second level of categories being the categories of sections,and the third level of categories being the subcategories of speciality systems,and to establish the method of classifying the various diseases and conditions in Yi medicine into categories and systems in accordance with the established principles.Conclusion The Yi medicine disease classification system is a systematic integration and standardised classification of disease terms from Yi medicine texts and literature over the ages,which helps to lead Yi medicine clinics to carry out medical activities in accordance with their own academic and clinical trajectories,and promotes the standardised research of Yi medicine.

Objective:To investigate the signaling pathway of inhibiting macrophage phagocytosis of TIR domain-containing protein encoded by Escherichia coli (TcpC) N-terminal ubiquitin ligase active fragments of uropathogenic Escherichia coli. Methods:Bioinformatics software was used to analyze the amino acid sequences and the function of TcpC N-terminal ubiquitin ligase active fragments as well as the functional sites. PCR was performed to amplify tcpc-330, tcpc-450 and tcpc-510 genes and a prokaryotic expression system was constructed to express the target proteins. The recombinant proteins rTcpC-N110, rTcpC-N150 and rTcpC-N170 were purified by Ni-NTA affinity chromatography. LPS in the recombinant proteins was removed by Detoxi-gel chromatography. The expression of MyD88 at protein and mRNA levels in macrophages incubated with rTcpC-N110, rTcpC-N150, rTcpC-N170 or rTcpC-TIR was detected by Western blot and qRT-PCR. The activation of NF-κB signal pathway and the levels of proinflammatory factors in macrophages incubated with the above TcpC protein fragments were measured by Western blot and ELISA, respectively. Results:Cys12, Trp104 and Trp106 in the N-terminal fragment of TcpC were crucial amino acids in maintaining its ubiquitin ligase activity. The target recombinant proteins rTcpC-N110, rTcpC-N150 and rTcpC-N170 were successfully expressed and purified. After Detoxi-gel chromatography, rTcpC-N110, rTcpC-N150 and rTcpC-N170 extracts were undetectable for LPS. TcpC ubiquitin ligase fragments inhibited the expression of MyD88 at protein level, but not affect its expression at mRNA level in macrophages. LPS-induced phosphorylation of NF-κB signaling pathway-related proteins p50 and p65 was significantly inhibited in macrophages treated with TcpC ubiquitin ligase fragments. Moreover, LPS-induced production of pro-inflammatory factors was also significantly inhibited.Conclusions:The recombinant proteins rTcpC-N110, rTcpC-N150 and rTcpC-N170 could inhibit the expression of MyD88 at protein level and suppress the activation of NF-κB signaling pathway, suggesting that they were closely related to the inhibition of innate immune activity of macrophages.

Objective:To investigate whether the hypervirulent Klebsiella pneumoniae (hvKP) induces liver abscess through activating NLRP3 inflammasome. Methods:K1-hvKP and K35-non-hvKP bacterial suspensions were intraperitoneally injected into C57BL/6 mice to establish the models of liver abscess. Human peripheral blood neutrophils were sorted by immunomagnetic beads with CD45 + and Gr-1 + , and the purity was detected by flow cytometry. The concentrations of capsular polysaccharide of K1-hvKP and K35-non-hvKP were detected by total carbohydrate assay kit. The expression of IL-18 and IL-33 by neutrophils at mRNA and protein levels was detected by real-time fluorescence quantitative PCR and ELISA, respectively. The activation of NLRP3 inflammasome in neutrophils was detected by Western blot. Neutrophil extracellular trap formation (NETosis) was observed under confocal laser scanning microscope. Results:The C57BL/6 mice with K1-hvKP infection had significantly serious liver abscess as compared with the K35-non-hvKP-infected mice. The purity of human neutrophils was more than 95%. The concentration of capsular polysaccharide in K1-hvKP was significantly higher than that in K35-non-hvKP. Compared with K35-non-hvKP, K1-hvKP significantly promoted the neutrophils to express IL-18 and IL-33 at both mRNA and protein levels, enhanced the activation of NLRP3 and induced NETosis.Conclusions:This study suggested that hvKP could promote NETosis by activating NLRP3 inflammasome to cause liver abscess.

Objective:To investigate the role of TcpC in uropathogenic Escherichia coli (UPEC)-induced cystitis in mice and to preliminarily analyze the pathogenic mechanism. Methods:C57BL/6 mice were injected with 10 9 CFU wild-type UPEC CFT073 (CFT073 wt) or tcpc gene-deleted mutant (CFT073 Δ tcpc) from urethra into bladder to construct the mouse model of cystitis. The mice were sacrificed 3 d after infection and the bladders were taken to observe the gross pathological changes. Histopathological changes in bladder tissues were observed after HE staining. Immunohistochemistry was used to detect TcpC in bladder tissues. Bacterial loads in urine samples of UPEC-infected mice were counted by tenfold dilution method, and the presence of tcpc gene in the genomic DNA of bacteria from the bladder and urine samples of CFT073 wt-infected mice was measured by PCR. Real-time quantitative RT-PCR (qRT-PCR) and Western blot were performed to detect the expression of TcpC at mRNA and protein levels in macrophages after CFT073 wt infection. The influence of UPEC strains on the activation of NF-κB signaling pathway in macrophages were determined by Western blot. The levels of proinflammatory factors and the bacterial and cell activity after infecting macrophages with UPEC strains were detected by ELISA, laser confocal microscope and fluorescence microscope, respectively. Results:Compared with the mice with CFT073 Δ tcpc infection, CFT073 wt-infected mice had significantly enlarged bladder and severe neutrophil infiltration and abundant TcpC in bladder tissues. The number of bacteria in the urine of CFT073 wt-infected mice was significantly greater than that of the CFT073 Δ tcpc group. PCR results showed that the bacteria in bladder or urine were CFT073 wt. The expression of TcpC at both mRNA and protein levels in macrophages increased significantly after CFT073 wt infection. Moreover, in CFT073 wt-infected macrophages, the expression of IκBα was promoted and the phosphorylation of p65 and the production of proinflammatory factors were suppressed. TcpC was instrumental in the survival and invasion of CFT073 wt in macrophages. Conclusions:TcpC expression increased significantly in mice with CFT073 wt-induced cystitis. TcpC inhibited the activation of NF-κB signaling pathway and the production of proinflammatory factors in macrophages to improve the survival rate of CFT073 wt, which was closely related to the pathogenesis and immune evasion of UPEC.

ObjectiveTo explore the related factors of troublemaking behaviors among patients with mental disorders induced by amphetamine-type stimulants （ATS）， and to provide references for the formulation of relevant intervention measures for ATS-induced mental disorders. MethodsA total of 105 patients who met the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10） for ATS-induced mental disorders were included， and classified into troublemaking group and non-troublemaking group. The general demographic data and clinical data of the selected individuals were collected， and all patients were assessed using Social Support Rating Scale （SSRS）. Then univariate analysis and multivariate Logistic regression model were used to screen the related factors of troublemaking behaviors. ResultsThe scores of SSRS， objective support dimension and social support utilization dimension were significantly lower in troublemaking group than those in non-troublemaking group， with statistical differences ［（24.10±6.59） vs. （28.94±5.59）， t=3.364， P=0.001； （5.50±1.96） vs. （8.20±2.13）， t=5.183， P<0.01； （4.60±2.26） vs. （6.28±1.90）， t=3.435， P=0.001］. Multivariate Logistic regression analysis showed that male （OR=6.061， P=0.014） was a risk factor， while high social support level （OR=0.873， P=0.018） was the protective factor for troublemaking behaviors among patients with ATS-induced mental disorders. ConclusionPatients with ATS-induced mental disorders of the males and with low social support level are at high risk of troublemaking behaviors.

Objective To assess the longitudinal mitral annular plane systolic excursion ( M APSE) of different directions in normal fetuses during mid‐late pregnancy based on two‐dimensional speckle tracking imaging ( ST I) . Methods Seventy‐six normal fetuses during middle and late pregnancy were selected at 26－32 weeks of gestation . T he peak M APSE was measured by free angle M‐mode echocardiography ( FAM ) perpendicular to the lateral annulus in the mitral annular plane . The time‐displacement curves of interventricular septal mitral annulus in three different directions including points A ,B and C through transverse level of apex were recorded by STI . T he peak M APSE of interventricular septal mitral annulus ( SEPT‐M APSE‐A ,SEPT‐M APSE‐B ,SEPT‐M APSE‐C) in three different directions including points A ,B and C and the time to peak ( T T P :SEPT‐T T P‐A ,SEPT‐T T P‐B ,SEPT‐T T P‐C) were recorded respectively . T he time‐displacement curves of lateral mitral annulus in three different directions including points A ,B and C through transverse level of apex were recorded by STI . T he peak M APSE of lateral mitral annulus ( LAT‐M APSE‐A ,LAT‐MAPSE‐B ,LAT‐MAPSE‐C) in three different directions including points A ,B and C ,the time to peak( LA T‐T T P‐A ,LA T‐T T P‐B ,LA T‐T T P‐C) were recorded respectively . Finally ,the data were analyzed statistically . Results T he peak M APSE of the lateral mitral annulus in 3 different directions including points A ,B and C[ LA T‐M APSE‐A ( 3 .62 ± 1 .01) mm ,LA T‐M APSE‐B ( 3 .95 ± 1 .04) mm ,LAT‐M APSE‐C ( 4 .45 ± 1 .05) mm ] were greater than those of the interventricular septum mitral annulus[ SEPT‐MAPSE‐A (3 .41 ± 0 .63)mm ,SEPT‐MAPSE‐B (3 .07 ± 0 .50) mm ,SEPT‐MAPSE‐C (2 .82 ± 0 .51) mm] . LAT‐M APSE‐C and SEPT‐M APSE‐A were the largest longitudinal excursions of mitral annulus . T he differences were statistically significant in points B and C ( P ＜0 .05) . T here was no significant difference in point A ( P ＞0 .05) . LA T‐M APSE‐C was less than FAM‐M APSE [ ( 6 .06 ± 1 .35 ) mm ] . T here was a significant difference between them ( P ＜0 .05 ) . Strong correlation was found between them ( r ＝0 .896 , P＜0 .05) . T here were no significant differences in the time to peak of interventricular septal mitral annulus [ SEPT‐T T P‐A ( 0 .210 ± 0 .008 ) s ,SEPT‐T T P‐B ( 0 .213 ± 0 .008 ) s ,SEPT‐T T P‐C ( 0 .210 ± 0 .005 ) s] in directions including points A ,B ,C ( P＞ 0 .05 ) . T here were no significant differences in time to peak of lateral mitral annulus [ LAT‐T T P‐A ( 0 .210 ± 0 .008 ) s , LAT‐T T P‐B ( 0 .213 ± 0 .006 ) s , LAT‐T T P‐C ( 0 .210 ± 0 .007) s] in directions inclucling points A ,B ,C ( P ＞0 .05) . Conclusions Longitudinal systolic motion of fetal left ventricular wall during mid‐late pregnancy has good synchronization . Longitudinal motion of fetal mitral annulus is a comprehensive movement of multiple directions and different degrees of displacement ,with the movement perpendicular to the annulus as the maximum displacement direction . T he displacement parameters of mitral annulus measured by ST I can reflect the left ventricular longitudinal systolic function and have clinical application value in evaluating the left ventricular longitudinal systolic function of fetuses .