The ambiguity of symptom information in traditional Chinese medicine （TCM） syndrome differentiation can be amplified in the direct reasoning process from symptoms to syndromes in the absence of constraints， which affects the accuracy and stability of intelligent syndrome differentiation. TCM disease concepts， while historically rational， are structurally ambiguous in both their connotation and extension， making it difficult to serve as stable prior knowledge in intelligent modeling. In contrast， modern medical diseases， based on objective testing and quantifiable indicators， have relatively clear boundaries and reproducible standards. This study proposes a disease-syndrome combination model， adopting modern medical diseases as structural prior variables to reconstruct the hierarchical relationships among disease， symptoms， and syndromes. By applying disease constraints， effective screening of information from the four examinations and compressing the reasoning space are achieved. Furthermore， by integrating artificial intelligence technologies， such as multimodal fusion and knowledge graphs， an intelligent syndrome differentiation model driven by both prior knowledge and clinical data is constructed， providing a feasible path to enhance the accuracy of syndrome differentiation and realize the intelligentization of TCM diagnosis and treatment.

Background: and Purpose Therapeutic target selection in noninvasive brain stimulation for poststroke motor recovery typically relies on the interhemispheric inhibition model, which is effective for mildly affected patients but offers limited benefits for severely affected individuals. The mechanisms governing recovery from moderate-to-severe stroke remain poorly understood, which hinders the development of targeted interventions. Methods: We analyzed resting-state functional magnetic resonance imaging data from patients with unilateral subcortical stroke and moderate-to-severe upper limb deficits, both pre- and postintervention, along with data from healthy controls. We developed a novel dynamic lag analysis method for identifying recovery-related homotopic sensorimotor regions with altered interhemispheric interactions. To further uncover the global reorganization pathway, we developed dynamic lateralization approaches to detect large-scale functional connectivity (FC) alterations associated with the identified regions in transient lateralization states. Results: Dynamic time-lag analysis revealed significantly reduced synchronized states in the homotopic dorsal premotor cortex (PMd) post-intervention compared with pre-intervention, which correlated with motor recovery. Further dynamic lateralization analysis revealed a prolonged segregation state in patients, characterized by weakened interhemispheric and strengthened intrahemispheric interactions. In this state, patients showed decreased FC in the ipsilesional PMd and increased FC in the contralesional PMd with bilateral subcortical networks. These recoveryrelated alterations were absent in the traditional static analysis. Conclusions Dynamic analyses targeting interhemispheric interactions are valuable for understanding neural reorganization after stroke. The diminished interactions between the homotopic PMd indicate a compensatory mechanism. Importantly, a state-dependent compensatory pathway was identified, wherein the contralesional PMd assumes the functions of the ipsilesional PMd through enhanced interactions with subcortical structures, potentially guiding more effective interventions.

To explore the clinical value of a multimodal predictive model based on multiparametric magnetic resonance imaging(MRI) radiomics combined with deep learning(DL) features for the preoperative noninvasive assessment of mismatch repair-deficient(MMRd) status in endometrial cancer(EC).

Objective To characterize Schistosoma japonicum Class F G protein-coupled receptors (GPCRs), and to decipher the biological function of S. japonicum Smoothened receptor (SjSMO), so as to provide insights into screening of novel anti-schistosomal drug targets. Methods Six Class F GPCRs were identified from the S. japonicum GPCR library using a hidden Markov model (HMM) and genome annotation filese, including five frizzled (FZD) receptors (SjFZD4, SjFZD5, SjFZD7, SjFZD8, SjFZD10) and one Smoothened receptor (SjSMO). Protein domain analysis was performed at the SMART website, and a phylogenetic tree was built with the software MEGA 11.0 and refined with the Interactive Tree Of Life (iTOL) tool. The expression profile and tissue localization of S. japonicum class F GPCRs were analyzed using the real-time fluorescence-based quantitative PCR (RT-qPCR) assay and in situ hybridization, and the effects of SjSMO on parasite growth, development, reproduction, and oviposition were examined using in vivo and in vitro RNA interference (RNAi). S. japonicum adult worms were selected for double-stranded RNAi (dsRNA) in in vitro experiments, and a green fluorescent protein (GFP) negative control group and SjFZD4, SjFZD5, SjFZD7, SjFZD8, SjFZD10, and SjSMO dsRNAi groups were assigned to observe the parasite vitality and state and calculate the female and male rating rate. For in-vivo animal experiments, 6-week-old SPF female mice of the Kunming strain were randomly divided into a GFP dsRNA negative control group and SjFZD4, SjFZD5, SjFZD7, SjFZD8, SjFZD10, and SjSMO dsRNAi groups. Worms and liver tissues were collected for measurement of the worm length and estimation of the worm burdens, and changes in the parasite reproductive organs were observed using alum carmine staining. In addition, the number of S. japonicum eggs in mouse livers was counted and the pathological damages of mouse livers were recorded. Results The five FZD receptors and one Smoothened receptor all contained a conserved Frizzled domain. Phylogenetic analysis revealed that SjSMO formed an independent evolutionary clade, which exhibited a far genetic distance from the FZD family. RT-qPCR assay quantified stable SjSMO expression in male worms but gradually decreased in female worms with worm development, and in situ hybridization revealed high systemic expression of SjSMO. In vitro RNAi results revealed a significant difference in pairing rates among all groups (χ² = 130.530, P < 0.000 1). Only the SjSMO interference group exhibited a markedly reduced worm pairing rate of 20.00%, which was significantly lower than that of the control group (94.74%) (P < 0.000 1), accompanied by decreased worm vitality. In contrast, no statistically significant differences in pairing rates were observed between each FZD family gene interference group and the control group (all P > 0.05). In vivo RNAi assay revealed that SjSMO dsRNAi 1 to 26 days post-infection resulted in a significant reduction in worm length, with reductions in the male worm length by 32.27% and female worm length by 36.77% as compared to controls [male worms: (6.51 ± 1.77) mm vs. (9.62 ± 1.44) mm, t = 7.196, P < 0.000 1; female worms: (5.49 ± 1.36) mm vs. (8.68 ± 2.60) mm, t = 5.953, P < 0.000 1], as well as arrest of testicular development in male worms and ovarian development in females. In addition, SjSMO dsRNAi 26 to 42 days post-infection was found to significantly reduce hepatic egg burdens in mice, with a 49.10% reduction in the count of liver eggs in the SjSMO dsRNAi group relative to the GFP dsRNA negative control group [(2 824 ± 844) eggs per gram vs. (5 548 ± 797) eggs per gram; t = 4.064, P < 0.05], and to alleviate granuloma formation and severity of hepatic fibrosis. Conclusion SjSMO is a key receptor that regulates the growth, development, reproduction, and oviposition of S. japonicum, which provides a new potential target for development of anti-schistosomal drugs.

ObjectiveTo observe the prevention and control effect of processed Polygonatum cyrtonema on depression induced by chronic unpredictable mild stress （CUMS） in female rats. MethodsForty rats were assigned into control， model， and low-， medium-， and high-dose processed P. cyrtonema groups according to the random number table method， with 8 rats in each group. The rat model of depression was established with the CUMS method. The body mass， open field test， forced swimming test， Morris water maze test， levels of neurotransmitters ［dopamine （DA）， 5-hydroxytryptamine （5-TH）， and acetylcholine （ACh）］， serum levels of sex hormones ［gonadotropin-releasing hormone（GnRH）， testosterone （T）， and estradiol （E₂）］ and inflammatory factors ［tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， and IL-10］， and mRNA and protein levels of factors in the brain-derived neurotrophic factor （BDNF）/tyrosine kinase receptor B （TRKB）/cAMP-response element binding protein （CREB） pathway were employed to evaluate the effect of processed P. cyrtonema on the CUMS-induced depression in female rats. ResultsThe body mass， open field test results， and forced swimming test results showed that the rat model of depression was successfully established. The comparison of behaviors， neurotransmitters， sex hormones， inflammatory factors， and neural pathways among groups showed that processed P. cyrtonema had different effects of preventing the development of depression in female rats. SPSS 25 was used for statistical analysis of error and significance. T test was conducted between groups. Each treatment group showed significant therapeutic effect compared with the model group （P<0.05）. Processed P. cyrtonema elevated the level of 5-TH （P<0.01） and lowered the levels of DA and ACh （P<0.01） in the brain tissue of female rats. In addition， it reduced the serum levels of GnRH， T， E₂， TNF-α， and IL-6 （P<0.05） and up-regulated the mRNA levels of BDNF and TRKB in the rat brain. ConclusionProcessed P. cyrtonema has a non-hyperactive preventive effect on CUMS-induced depression in rats， which provides a theoretical basis for the development of processed P. cyrtonema as a functional food product.

ObjectiveTo observe the prevention and control effect of processed Polygonatum cyrtonema on depression induced by chronic unpredictable mild stress （CUMS） in female rats. MethodsForty rats were assigned into control， model， and low-， medium-， and high-dose processed P. cyrtonema groups according to the random number table method， with 8 rats in each group. The rat model of depression was established with the CUMS method. The body mass， open field test， forced swimming test， Morris water maze test， levels of neurotransmitters ［dopamine （DA）， 5-hydroxytryptamine （5-TH）， and acetylcholine （ACh）］， serum levels of sex hormones ［gonadotropin-releasing hormone（GnRH）， testosterone （T）， and estradiol （E₂）］ and inflammatory factors ［tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， and IL-10］， and mRNA and protein levels of factors in the brain-derived neurotrophic factor （BDNF）/tyrosine kinase receptor B （TRKB）/cAMP-response element binding protein （CREB） pathway were employed to evaluate the effect of processed P. cyrtonema on the CUMS-induced depression in female rats. ResultsThe body mass， open field test results， and forced swimming test results showed that the rat model of depression was successfully established. The comparison of behaviors， neurotransmitters， sex hormones， inflammatory factors， and neural pathways among groups showed that processed P. cyrtonema had different effects of preventing the development of depression in female rats. SPSS 25 was used for statistical analysis of error and significance. T test was conducted between groups. Each treatment group showed significant therapeutic effect compared with the model group （P<0.05）. Processed P. cyrtonema elevated the level of 5-TH （P<0.01） and lowered the levels of DA and ACh （P<0.01） in the brain tissue of female rats. In addition， it reduced the serum levels of GnRH， T， E₂， TNF-α， and IL-6 （P<0.05） and up-regulated the mRNA levels of BDNF and TRKB in the rat brain. ConclusionProcessed P. cyrtonema has a non-hyperactive preventive effect on CUMS-induced depression in rats， which provides a theoretical basis for the development of processed P. cyrtonema as a functional food product.

Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

OBJECTIVES: To explore the role of C1q, the promoter of the classical pathway of the complement system, in regulating postpartum depressive-like behaviors in mice and the therapeutic mechanism of C1q-neutralizing antibodies. METHODS: Female C57BL/6 mouse models of postpartum depression established by hormone-simulated pregnancy (HSP) were evaluated for depression-like behaviors, and peripheral blood levels and hippocampal expressions of C1q were detected using ELISA and Western blotting. Immunofluorescence staining was used for detecting co-labeling of C1q and microglia, and the differentially expressed mRNAs in the hippocampus of HSP mice were analyzed using RNA sequencing. The Edinburgh Postnatal Depression Scale was used to screen patients with postpartum depression, from whom peripheral blood mononuclear cells were extracted for detecting C1q expression levels with Western blotting. The HSP mice were subjected to stereotactic injection of C1q-neutralizing antibody or a control IgG in the hippocampus, and the changes in depressive-like behaviors and hippocampal expression of C3 were examined. RESULTS: The HSP mice exhibited obvious depressive behaviors, demonstrated by significantly decreased preference for sugar water and increased forced swimming and tail suspension time. The mouse models showed significantly increased peripheral blood C1q level and hippocampal expression level of C1q, accompanied by an increase in Iba1 and C1q co-labeling in the hippocampus. The expression level of C1q in peripheral monocytes was also significantly increased in patients with postpartum depression. In HSP mice, stereotactic injection of C1q-neutralizing antibody, but not the control IgG, obviously alleviated depressive-like behaviors, shown by significantly increased preference for sugar water and decreased forced swimming and tail suspension time, resulting also in decreased expression of C3 in the hippocampus and lowered serum levels of IL-6 and TNF-α. CONCLUSIONS C1q-neutralizing antibodies improve postpartum depressive-like behaviors in mice possibly by regulating the C1q/C3 signaling pathway.
Animals ; Female ; Depression, Postpartum ; Complement C1q/metabolism* ; Antibodies, Neutralizing/pharmacology* ; Mice, Inbred C57BL ; Mice ; Hippocampus/metabolism* ; Pregnancy ; Disease Models, Animal

Objective: To construct prediction models of female stress urinary incontinence (SUI), and evaluate the efficacy of each model, so as to provide reference for the early diagnosis of SUI. Methods: Female SUI patients treated in our hospital during Oct. 2019 and Oct. 2023 and healthy women undergoing physical examination during the same period were involved. Women 42 days after delivery were included in the postpartum group (n=611), and perimenopausal and postmenopausal women were included in the non-postpartum group (n=409). The number of random seeds was set and the participants were divided into the training and verification sets in a ratio of 7∶3. Relevant clinical data were collected, and meaningful variables were screened using single factor and Lasso regression, which were then incorporated into the K-nearest neighbor method (KNN), support vector machine (SVM)，decision tree (DT) and random forest (RF) algorithms. The sensitivity, specificity, accuracy and area under the receiver operating characteristic curve (AUC) of the models were calculated to screen out the optimal model. Results: There were 352 SUI patients (57.6%) in the postpartum group. According to single factor and Lasso regression, significant variables included age, body mass index (BMI), maximum rapid muscle stage, parity, bladder neck mobility (BND), urethral rotation angle (URA), lateral perineal incision, past incontinence, and constipation. In the verification set, the AUC of KNN，SVM，DT and RF models were 0.881，0.878，0.750 and 0.905,respectively; the AUC, accuracy, F1 index and Kappa value of RF model were the largest. In the non-postpartum group, there were 260 SUI patients, accounting for 63.6%. The significant variables were age，BMI, maximum value and recovery time of fast muscle stage, mean value of slow muscle stage, post-resting stage variability, vaginal delivery, past incontinence, and constipation. In the verification set, the AUC of KNN,SVM，DT and RF models were 0.819,0.805，0.603 and 0.830, respectively; the AUC, accuracy, Kappa value of the RF model were the largest. Conclusion: This study successfully established 4 prediction models for the incidence of SUI in women at 42 days postpartum, perimenopausal and postmenopausal women based on machine learning. Among them, the model adopting the RF algorithm had the best prediction efficiency.