BACKGROUND:Deep muscle stimulation has the effects of releasing muscle adhesion,relieving muscle spasm,improving and restoring muscle compliance and elasticity.Electromyographic biofeedback therapy can promote nerve recovery and improve lower limb motor function and gait. OBJECTIVE:To observe the effect of the effect of deep muscle stimulation combined with electromyographic biofeedback therapy on the spasm of the triceps surae and gait changes after stroke by using a digital muscle detector and three-dimensional gait analysis system. METHODS:A total of 72 patients who met the inclusion criteria were selected from the Rehabilitation Department of the First Affiliated Hospital of Guangdong Pharmaceutical University from October 2020 to October 2023.And they were enrolled and randomly divided into two groups(n=36 per group):a control group and a combined group.The control group received routine rehabilitation therapies,electromyographic biofeedback and pseudo deep muscle stimulation,while the combined group received true deep muscle stimulation treatment on the basis of the control group,five times per week,for 4 consecutive weeks.The oscillation frequency and dynamic stiffness of the affected gastrocnemius muscle,active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,Fugl-Meyer assessment of the lower limbs,and three-dimensional gait analysis parameters were statistically analyzed before and after treatment in two groups. RESULTS AND CONCLUSION:After treatment,oscillation frequency and dynamic stiffness values of the inner and outer sides of the affected gastrocnemius muscle in both groups of patients were significantly reduced compared with before treatment(P<0.05),and the combined group showed a more significant decrease compared with the control group(P<0.05).The active range of motion of the ankle dorsiflexion muscle,electromyographic signal of the tibialis anterior muscle,and Fugl-Meyer scores after treatment were significantly increased or improved compared with before treatment(P<0.05),while the combined group showed a more significant increase or improvement compared with the control group(P<0.05).In terms of gait parameters,the walking speed,frequency,and stride in both groups of patients were significantly increased compared with before treatment(P<0.05),while the combined group showed a more significant increase compared with the control group(P<0.05).The percentage time of support phase on the healthy side was shortened compared with before treatment(P<0.05),while the combined group showed a more significant decrease compared with the control group(P<0.05).In addition,there was no significant difference between the two groups except for the percentage of healthy side support(P>0.05).To conclude,the combination of deep muscle stimulation and electromyographic biofeedback can effectively alleviate triceps spasm in the short term after stroke,improve ankle dorsiflexion function,enhance lower limb motor function,and improve gait.The treatment effect is significant and worthy of clinical promotion and application.

19 cinnamamide/ester-triazole compounds were designed, synthesized and evaluated for their anti-Alzheimer's disease (AD) activity. Among them, compound 4f displayed excellent anti-β-amyloid protein (Aβ)-mediated cytotoxicity (EC₅₀ = 2.03 ± 2.45 μmol·L^-1) in APPswe cells and acetylcholinesterase inhibiton (IC₅₀ = 4.88 ± 4.70 μmol·L^-1). Further study indicated that, at dosages of (1, 5 and 25 mg·kg^-1), compound 4f was effective in improving spatial learning and memory deficits in Aβ_1-42-impaired mice, which was achieved by promoting the nonamyloidogenic signaling and inhibiting the amyloidogenic pathway, along with the suppression of Aβ-induced Tau phosphorylation. All animal experiments in this study were approved by the Experimental Animal Care and Use Committee of the Institute of Medicinal Biotechnology (IMB-20220908D701). In conclusion, compound 4f holds promise as a lead candidate for AD treatment, and the present study lays the foundation for its subsequent development.

Purpose: Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations. Methods: Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals. Results: Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified. Conclusions DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.

Purpose: Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations. Methods: Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals. Results: Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified. Conclusions DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.

Purpose: Gold-standard urodynamic examination is widely used in the diagnosis and treatment of lower urinary tract dysfunction. The purpose of urodynamic quality control is to standardize urodynamic examination and ensure its clinical reference value. In our study, we attempted to use a deep learning (DL) algorithm model, mainly for the recognition of typical urodynamic signal, to help physicians complete high-quality urodynamic examinations. Methods: Urodynamic image data from 2 cohorts of adult patients with neurogenic bladder were used: (1) 300 patients with neurogenic bladder in our center from 2012 to 2018 (1,960 images used to train and validate the DL model); and (2) 100 patients with neurogenic bladder from 2020 to 2021 (695 images used to test the performance of the DL model). This resulted in a total of 2,655 images to train, validate and test the DL algorithm to predict the urdynamic signals. Results: Yolov5l had the best detection performance and the highest comprehensive index score (F1, 0.81; mean average precision, 0.83). Our study is a retrospective single-center study, and the generalization ability of the model has not been verified. Conclusions DL algorithms can help operators identify typical urodynamic signals in real time, improve the interpretation and quality of urodynamic examination, and benefit patients.

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder affecting a substantial proportion of women of reproductive age. It is frequently associated with ovulatory dysfunction, infertility, and an increased risk of chronic metabolic diseases. A hallmark pathological feature of PCOS is the arrest of follicular development, closely linked to impaired intercellular communication between the oocyte and surrounding granulosa cells. Transzonal projections (TZPs) are specialized cytoplasmic extensions derived from granulosa cells that penetrate the zona pellucida to establish direct contact with the oocyte. These structures serve as essential conduits for the transfer of metabolites, signaling molecules (e.g., cAMP, cGMP), and regulatory factors (e.g., microRNAs, growth differentiation factors), thereby maintaining meiotic arrest, facilitating metabolic cooperation, and supporting gene expression regulation in the oocyte. The proper formation and maintenance of TZPs depend on the cytoskeletal integrity of granulosa cells and the regulated expression of key connexins, particularly CX37 and CX43. Recent studies have revealed that in PCOS, TZPs exhibit significant structural and functional abnormalities. Contributing factors—such as hyperandrogenism, insulin resistance, oxidative stress, chronic inflammation, and dysregulation of critical signaling pathways (including PI3K/Akt, Wnt/β‑catenin, and MAPK/ERK)—collectively impair TZP integrity and reduce their formation. This disruption in granulosa-oocyte communication compromises oocyte quality and contributes to follicular arrest and anovulation. This review provides a comprehensive overview of TZP biology, including their formation mechanisms, molecular composition, and stage-specific dynamics during folliculogenesis. We highlight the pathological alterations in TZPs observed in PCOS and elucidate how endocrine and metabolic disturbances—particularly androgen excess and hyperinsulinemia—downregulate CX43 expression and impair gap junction function, thereby exacerbating ovarian microenvironmental dysfunction. Furthermore, we explore emerging therapeutic strategies aimed at preserving or restoring TZP integrity. Anti-androgen therapies (e.g., spironolactone, flutamide), insulin sensitizers (e.g., metformin), and GLP-1 receptor agonists (e.g., liraglutide) have shown potential in modulating connexin expression and enhancing granulosa-oocyte communication. In addition, agents such as melatonin, AMPK activators, and GDF9/BMP15 analogs may promote TZP formation and improve oocyte competence. Advanced technologies, including ovarian organoid models and CRISPR-based gene editing, offer promising platforms for studying TZP regulation and developing targeted interventions. In summary, TZPs are indispensable for maintaining follicular homeostasis, and their disruption plays a pivotal role in the pathogenesis of PCOS-related folliculogenesis failure. Targeting TZP integrity represents a promising therapeutic avenue in PCOS management and warrants further mechanistic and translational investigation.

Objective:To evaluate the diagnostic efficacy of the novel prostate specific membrane antigen (PSMA)-targeted PET imaging agent 18F-AlF-P16-093 in combination with multiparametric MRI (mpMRI) for prostate cancer (PCa), and to explore its application in guiding transperineal puncture biopsy. Methods:A retrospective analysis was conducted on the clinical and pathological data of 36 patients diagnosed as PCa (age: 68-76 years) who underwent 18F-AlF-P16-093 PET/CT and mpMRI examinations at the First Affiliated Hospital of Guangzhou Medical University from August 2023 to March 2024. The entire prostate was divided into 12 regions based on biopsy localization. Imaging evaluations were performed using PET/CT and mpMRI at the lesion level, with biopsy pathology as the gold standard. The correlations between mpMRI scores, PET/CT scores and pathological diagnosis results were evaluated by Phi coefficient analysis. Diagnostic efficacy was assessed by ROC curve analysis. Logistic regression was used to determine the impact of bleeding on image interpretation. Results:18F-AlF-P16-093 PET/CT showed a moderate positive correlation with pathological diagnosis result ( Phi=0.415, P<0.001), which was superior to mpMRI ( Phi=0.338, P<0.001). The diagnostic efficacy of PET single-modality model was superior to mpMRI in all indicators. The combination of 18F-AlF-P16-093 PET/CT with mpMRI significantly improved diagnostic specificity and positive predictive value, with the diagnostic specificity of the PET+ T 2 weighted imaging (WI)+ diffusion WI (DWI) and PET+ T 2WI+ DWI+ apparent diffusion coefficient (ADC) combinations exceeding 90%, and the positive predictive value exceeding 80%. Bleeding did not significantly affect the diagnosis of PCa by mpMRI and PET/CT (odds ratio ( OR): 0.463-0.785, all P>0.05). Conclusion:18F-AlF-P16-093 PET/CT is superior to mpMRI in the detection and diagnostic efficacy of PCa lesions, and the combination of 18F-AlF-P16-093 PET with mpMRI can further improve diagnostic specificity and positive predictive value, which is of guiding significance for targeted prostate biopsy.

AIM To investigate the clinical effects of Yiqi Shengjin Prescription on patients with primary Sj?gren's syndrome due to Dual Deficiency of Qi and Yin.METHODS Ninety-two patients were randomly assigned into control group(46 cases)for 8-week intervention of conventional treatment,and observation group(46 cases)for 8-week intervention of both Yiqi Shengjin Prescription and conventional treatment.The changes in clinical effects,TCM syndrome scores,ESSDAI score,ESSPRI score,salivary flow rate,immunoinflammatory indices(ESR,hs-CRP,IgG,C3,C4),SAS score,SDS score,T lymphocytes(CD4+,CD8+,Treg,Th17)and safety indices were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P＜0.05).After the treatment,the observation group exhibited decreased TCM syndrome scores(P＜0.05),which was lower than those in the control group(P＜0.05);the two groups displayed decreased ESSDAI score,ESSPRI score,ESR,hs-CRP,IgG,SAS score,SDS score,CD8+,Th17(P＜0.05),and increased salivary flow rate,C3,C4,Treg(P＜0.05),especially for the observation group(except for CD4+)(P＜0.05).No obvious adverse reactions were observable in the two groups.CONCLUSION For the patients with primary Sjogren's syndrome due to Deficiency of Qi and Yin,Yiqi Shengjin Prescription can safely and effectively improve dry mouth and eye symptoms,and reduce inflammatory indices,whose mechanism may contribute to the regulation of T lymphocyte balance in vivo.

Objective To analyze the distribution characteristics and antimicrobial resistance of pathogens causing periprosthetic joint infection(PJI)after hip and knee arthroplasty,and provide reference for clinical prevention and rational use of antimicrobial agents.Methods Clinical data of patients with PJI after hip and knee arthroplasty in a hospital from January 2020 to December 2022 were retrospectively collected and analyzed.Distribution of pathogens and resistance to commonly used antimicrobial agents were analyzed.Results A total of 105 patients with PJI after joint arthroplasty were included in the analysis.There were 67 and 38 cases underwent hip and knee arthroplasty,respectively.A total of 124 strains of pathogenic bacteria were detected,with Gram-positive strains accounting for 74.19％(n=92),followed by Gram-negative bacteria(16.13％,n=20).The most common pathogen was Staphy-lococcus aureus(37.90％,n=47)and coagulase-negative Staphylococcus(22.58％,n=28).Antimicrobial suscep-tibility testing result showed that among Gram-positive coccus,resistance rates of Staphylococcus aureus and coagu-lase-negative Staphylococcus to oxacillin were 26.67％and 73.08％,respectively,while both were sensitive to van-comycin.Resistance rates of Gram-negative bacteria to ciprofloxacin,piperacillin/tazobactam,and ceftriaxone were 33.33％,41.18％,and 55.56％,respectively,while sensitive to meropenem.Conclusion Staphylococcus aureus and coagulase-negative are the main pathogens causing PJI after joint arthroplasty,the latter has a higher resistance rate to oxacillin.Empirical treatment may be effective for Staphylococcus aureus PJI,but not sufficient for coagulase negative Staphylococcus PJI.

The gene GeDRP1E encoding dynamin-related protein 1E in Gastrodia elata was cloned by specific primers which were designed based on the transcriptome data of G. elata. Bioinformatics analysis on GeDRP1E gene was carried out by using ExPASy, ClustalW, MEGA, etc. Positive transgenic Arabidopsis plant and potato minituber were obtained with the genetic transformation system of Arabidopsis and potato. The plant height and seed setting rate of transgenic Arabidopsis, and agronomic characters, such as size, weight and starch content of potato minituber of transgenic potato were tested and analyzed. And GeDRP1E gene function was preliminarily investigated. The results showed that the open reading frame of GeDRP1E gene was 1 899 bp in length and 632 amino acids residues were encoded, with a relative molecular weight of 69.90 kDa and a molecular formula of C₃₀₇₉H₄₉₇₃N₈₈₃O₉₃₃S₁₉. It was predicted that the theoretical isoelectric point was 7.27, the instability coefficient was 43.34, and the average hydrophilicity index was -0.259, which was indicative of an unstable hydrophilic protein. GeDRP1E has no transmembrane structure and signal peptide, and was localized in the cytoplasm. The phylogenetic tree showed that GeDRP1E was highly homologous with DRP1E proteins of other plant species, among which GeDRP1E had the highest homology with DcDRP1E (XP_020689662.1) in Dendrobium candidum, reaching 90.05%. GeDRP1E plant expression vector pCambia1300-35Spro-GeDRP1E was constructed by double digests, and Arabidopsis complementary mutant and potato overexpression strain of GeDRP1E gene were obtained by Agrobacterium-mediated gene transformation. Compared with the Arabidopsis AtDRP1E mutant, the height and seed setting rate of the GeDRP1E complementation mutant were rescued. The minituber of GeDRP1E overexpression potato had larger size, heavier weight and higher starch content, comparing to wild-type potato. It was preliminarily induced that GeDRP1E was involved in mitochondrial morphology regulation, which related to the growth and development of Arabidopsis plants and potato miniature. The research results laid a foundation for further elucidating the molecular mechanisms underlying the growth and development of G. elata tuber development.