ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.

Objective: To investigate the effects of curcumin on the biological behavior of oral squamous cell carcinoma (OSCC) cells and its potential molecular mechanisms, as well as to provide experimental evidence for the application of curcumin in the prevention and treatment of OSCC. Methods: All animal experiments in this study were approved by the Institutional Animal Welfare and Ethics Committee and strictly adhered to relevant animal ethics guidelines. Potential intersecting targets of curcumin and OSCC were screened using TCMSP, SwissTargetPrediction, DrugBank, and GeneCards databases, followed by construction of a protein-protein interaction network and gene ontology(GO) /Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Scratch and clone formation experiments were conducted using CAL-27 and SCC-9 cells to detect the effect of curcumin on cell migration and proliferation ability. Combining RNA sequencing analysis of differentially expressed genes, and verifying the changes in mRNA and protein expression of key cellular molecules by curcumin through real-time fluorescence quantitative PCR and Western blot, respectively. Simultaneously establish a CAL-27 xenograft BALB/c nude mouse transplant tumor model and use immunohistochemistry to detect the effect of curcumin treatment on the expression of related proteins in the transplant tumor tissue. Results: A total of 178 intersecting targets were identified, mainly enriched in the PI3K/AKT signaling pathway and lipid metabolism-related pathways. Curcumin significantly inhibited migration and colony formation of CAL-27 and SCC-9 cells in vitro. Transcriptomic analysis identified 828 differentially expressed genes enriched in lipid metabolism and PI3K/AKT pathways. Real-time fluorescence quantitative PCR showed downregulation of PIK3CA, CCND1, BCL2, and FASN, while western blot demonstrated decreased expression of p-AKT and FASN. In vivo, curcumin markedly suppressed tumor growth and reduced the expression of Ki-67, BCL2, and p-AKT in tumor tissues. Conclusion Curcumin may inhibit the migration and proliferation of OSCC cells by regulating the PI3K/AKT signaling pathway and the expression of lipid metabolism-related genes.

Objective:TTo evaluate the therapeutic effect of meridian acupuncture combined with electromyographic biofeedback therapy on spastic cerebral palsy.Methods:A randomized controlled trial study was conducted. Totally 128 children with spastic cerebral palsy in our hospital from September 2022 to September 2024 were divided into two groups using a random number table method, with 64 cases in each group. The control group received routine rehabilitation training and electromyographic biofeedback therapy, while the observation group received combined meridian acupoint therapy on the basis of the control group. Both groups received 3 weeks of treatment, making a total of 3 treatment courses. The Gross Motor Function Test (GMFM) was used to evaluate the motor function of children; the Developmental Behavior Assessment (DBA) was used to assess the psychological and behavioral development status of children aged 0-6, the Fine Motor Function Assessment (FMFM) was used to assess the fine motor skills of children; the Montreal Cognitive Assessment (MoCA) was used to assess the cognitive level of children; the Modified Ashworth Rating Scale (MAS) was used to assess the muscle strength level of children; the clinical efficacy was evaluated.Results:The total effective rate of the observation group was 92.19% (59/64), while that of the control group was 76.56% (49/64), with statistical significance ( χ2=5.93, P=0.015). The observation group had higher scores for lying down and turning over, sitting, crawling and kneeling, standing, walking, running, and jumping after treatment compared to the control group ( t-values of 2.82, 5.83, 4.97, 4.23, 4.41, respectively, P<0.01); the scores for gross motor skills, fine motor skills, adaptability, language, and social behavior were higher than thoes in the control group ( t values of 3.34, 3.73, 5.33, 3.75, 5.47, respectively, P<0.01); the FMFM and MoCA scores were higher than those in the control group ( t values of 5.23 and 4.41, respectively, P<0.01); the MAS grading level was lower than that of the control group ( t=8.46, P<0.01). Conclusion:The combination of meridian acupuncture and electromyographic biofeedback can improve the motor function, psychological and behavioral development, fine motor skills, cognitive development, and clinical efficacy of children with spastic cerebral palsy.

Objective To analyze the characteristics of intradepartmental consultation cases in the Department of Ultrasound,identify the technical weaknesses underlying consultation needs,thereby exploring their guiding signifi-cance for optimizing the medical education system.Methods A retrospective analysis was conducted on 325 in-tradepartmental consultation cases from the Department of Ultrasound at Peking University Third Hospital between January 1,2020,and December 31,2024.Data on patient sources,time distribution,disease categories,applicant physicians'seniority,and the positive rate of ultrasound reports were statistically analyzed.Results The majority of consultation cases involved outpatients(74.77%),with the highest proportion originating from General Surgery(98/325,30.15%),Pediatrics(31/325,9.54%),and Urology(21/325,6.46%).Consultations pre-dominantly occurred on weekdays between 10∶00 and 16∶00.Superficial organ diseases constituted the largest disease category(179/325,55.08%),mainly involving subcutaneous soft tissue,breast,and thyroid subcatego-ries,followed by musculoskeletal and neurological diseases(48/325,14.77%)and vascular diseases(44/325,13.54%).Case distribution varied by physician seniority:resident physicians in training primarily requested con-sultations for superficial organ,vascular,and abdominal cases;specialized training physicians showed an increased proportion of musculoskeletal and neurological cases;while attending physicians who completed specialized training and associate chief physicians demonstrated higher proportions of musculoskeletal and neurological,and pediatric cranial cases.The overall positive rate of ultrasound reports was 88.00%,with negative reports mostly prompting consultations due to discrepancies between subjective symptoms and imaging findings.Conclusions The character-istics of intradepartmental consultation cases reflect the technical weaknesses of ultrasound physicians at different seniority levels,providing helpful insights for refining postgraduate and continuing education systems to enhance the core competencies in ultrasound practice.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective To investigate the potential mechanism of action of polygonatum odoratum in treating Alzheimer's disease through the utilization of network pharmacology and molecular docking techniques.Methods The methods employed include target screening,Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,and molecular docking simulations to assess the binding interactions between the active compounds in polygonatum odoratum(POD)and the key target proteins associated with Alzheimer's disease.Subsequently,lipopolysaccharide(LPS)was used to induce an inflammatory cell model in BV2 microglial cells.After treating the cell model with POD extract for 24 hours,the cells were collected,and the expression of the target genes were detected by Real-time PCR.Results Eight active ingredients and 172 targets of POD were screened.The biological processes such as protein phosphorylation and signal transduction,protein binding and ATP binding were obtained by GO functional analysis.KEGG enrichment yielded PI3K/Akt,cAMP and other signaling pathways.The molecular docking result showed that the active ingredient of POD had well binding activity with epidermal growth factor receptor(EGFR),proto-oncogene tyrosine-protein kinase Src(SRC),tumor necrosis factor(TNF),STAT3.Through Real-time PCR experiments,the gene expressions of inducible nitric oxide synthase(iNOS),prostaglandin G/H synthase 2(PTGS2),interleukin(IL)-6,and IL-1β in the LPS-induced inflammatory cell model were significantly upregulated.After treating the inflammatory model with POD extract for 24 hours,the expression of TNF-α was significantly reduced,the expression of STAT3 was upregulated,there were no significant changes in the expressions of SRC and EGFR.Conclusion Network pharmacology suggests polygonatum odoratum's potential anti-Alzheimer's effects may be mediated through its interaction with targets such as EGFR,TNF,SRC,and STAT3.The experimental results suggest that polygonatum odoratum exerts an anti-inflammatory effect by acting on TNF-α,which may further alleviate the symptoms of Alzheimer's disease.

Objective:To investigate the factors influencing the delayed onset of intrapartum fever following epidural labor analgesia and their impact on maternal and neonatal outcomes.Methods:Select parturients who experienced intrapartum fever following labor analgesia(T≥38.0℃,age≥18 years,singleton pregnancy,ASA classification Ⅱ)between January 1,2021,and December 31,2023.Group them based on the median time of intra-partum fever onset after labor analgesia:those with onset times less than the median were classified as the ear-ly-onset fever group,and those with onset times greater than the median were classified as the late-onset fever group.Using univariate and multivariate Logistic regression analysis to explore factors influencing the delay in in-trapartum fever onset and the pregnancy outcomes of the mothers and newborns in both groups.Results:A total of 253 parturients were included,and the time range of onset of intrapartum fever following epidural labor analgesi-a was 1.83-28.42 hours,with a median fever onset time of 8.00 hours.There were 126 cases in the early-onset group and 127 in the late-onset group.Multivariate Logistic regression analysis indicated that primiparous women,artificial membrane rupture,and neonatal birth weight were independent risk factors for delayed fever onset(OR＞1,P＜0.05),whereas the administration of oxytocin prior to labor analgesia was found to be a protective factor(OR＜1,P＜0.05).The late-onset group exhibited higher levels of white blood cells(WBC),C-reactive pro-tein,longer hospital stays,higher hospitalization costs,greater diagnosis rates of chorioamnionitis,higher NICU ad-mission rates,as well as a higher incidence of neonatal pneumonia,for newborns compared to the early-onset group(P＜0.05).Conclusions:Primiparous women,artificial membrane rupture,and higher neonatal birth weight may be associated with delayed onset of intrapartum fever,while oxytocin administration prior to labor analgesia may offer some protective benefit.The later the onset of intrapartum fever,the worse the clinical outcomes for both mother and infants.

BACKGROUND:Kaempferol has anti-osteoporotic effects,but the mechanisms by which kaempferol regulates gut microbiota and metabolites to prevent and treat osteoporosis remain unclear.OBJECTIVE:To exploring the potential mechanisms by which kaempferol inhibit osteoporosis based on gut microbiota and comprehensive targeted metabolomics.METHODS:Eighteen female Sprague-Dawley rats were randomly divided into three groups:sham operation group,model group,and kaempferol group,with 6 rats in each group.Animal models of osteoporosis were made in the latter two groups through removal of bilateral ovaries.Eight weeks after modeling,the sham operation and model groups were gavaged with distilled water,and the kaempferol group was gavaged with 40 mg/kg kaempferol.Continuous administration in each group was carried out for 12 weeks.Rat fecal samples were collected for 16S rDNA amplicon sequencing to observe changes in the gut microbiota structure.Serum samples were subjected to comprehensive targeted metabolomics analysis using ultra-high performance liquid chromatography-tandem mass spectrometry technology,along with a proprietary database and multivariate statistical analysis.RESULTS AND CONCLUSION:After 12 weeks of continuous intervention,the results of 16S rDNA amplicon sequencing showed that compared with the sham operation group,the abundance of gut microbiota increased in the model group.Compared with the model group,kaempferol group exhibited a statistically significant increase in the abundance of the genus Latilactobacillus(P=0.021),while the abundances of Pantoea(P=0.034),Enterorhabdus(P=0.000),Monoglobus(P=0.024),Butyricimonas(P=0.034),Rothia(P=0.043),and Clostridia(P=0.004)were significantly downregulated.After 12 weeks of continuous intervention,the results of the serum samples analyzed by broad-targeted metabolomics revealed that 120 and 79 metabolites were identified between the sham operation and model groups and between the model and kaempferol groups,respectively.Among the three groups,there were 17 overlapping differentially expressed metabolites,including Cis-aconitic acid,barbituric acid,L-homocitrulline,3,4,5-trimethoxycinnamic acid,L-3-phenyllactic acid,cyclo(pro-pro),L-phenylalanine-L-serine,proline-isoleucine,L-donoraminoacetic acid-L-phenylalanineacetic acid,and phenylalanine-aspartic acid.Most of them belong to amino acids and their metabolites,glycerophospholipids and fatty acyls.The Kyoto Encyclopedia of Genes and Genomes pathways involved in the differential metabolites were mainly enriched in D-amino acid metabolism,histidine metabolism,propionate metabolism,lysine degradation,fatty acid metabolism and sphingolipid metabolism.After 12 weeks of continuous intervention,combined analysis revealed that genera such as Enterorhabdus,Latilactobacillus,Rothia,and Ruminococcus were closely associated with differential serum metabolites.To conclude,kaempferol may exert its anti-osteoporotic effects by modulating the abundance,diversity,and structure of gut microbiota,thereby regulating the metabolism of amino acids,their metabolites,and fatty acids.

Objective:To study the results of detection of pulmonary nodules among military flying personnel and analyze the contributors to pulmonary nodules so as to provide data for early prevention and interventions.Methods:The physical examination data of 1 465 military flying personnel was retrospectively analyzed who had received the annual health checkup and undergone chest CT examinations at Lintong Rehabilitation and Recuperation Center. They were grouped by age (<40 years and ≥40 years), flying hour (<1 000 h and ≥1 000 h) and type of personnel [pilots and air support (technical) personnel]. The detection rates of pulmonary nodules among flying personnel were compared across groups, and a multivariate Logistic regression analysis was conducted to analyze the contributing factors to pulmonary nodules.Results:Among the 1 465 military flying personnel, 212 cases (14.47%) with pulmonary nodules were detected. A total of 230 pulmonary nodules were detected, including 35 pulmonary nodules (15.22%) in the left upper lung, 42 pulmonary nodules (18.26%) in the left lower lung, 52 pulmonary nodules (22.61%) in the right upper lung, 47 pulmonary nodules (20.43%) in the right middle lung, and 54 pulmonary nodules (23.48%) in the right lower lung. The detection rate of pulmonary nodules among military flying personnel in the ≥1 000 h group was higher than in the <1 000 h group, and the difference was statistically significant ( χ2=4.14, P=0.042). More pulmonary nodules were detected among military flying personnel who smoked than among those who did not, and the difference was statistically significant ( χ2=9.34, P=0.002). Age, types of personnel, body mass index, and complications with other lung diseases made no significant difference in the detection rate of pulmonary nodules (all P>0.05). Multivariate Logistic regression analysis showed that smoking was a risk factor for pulmonary nodules ( OR=1.692, 95% CI: 1.217-2.351). Conclusions:Among military flying personnel, pulmonary nodules are more likely to occur in the right lung. Smoking is an independent risk factor for pulmonary nodules, suggesting that routine chest CT screening should be carried out during the annual physical examinations of military flying personnel in order to exercise early interventions.

Objective:To establish a digital quality evaluation system for Salvia miltiorrhiza-Monascus fermentation products,screen critical quality markers,and provide methodological support for their intelligent quality control.Methods:Ultra-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry(UPLC-Q-Orbitrap-MS)was employed to quantitatively analyze 34 bioactive components(e.g.,tanshinone Ⅱ A and alvianol-ic acid B)in 20 batches of fermentation products.The key markers were screened through hierarchical cluster anal-ysis and partial least squares discriminant analysis,and an intelligent discriminant model was constructed with sup-port vector machine machine learning algorithm to digitally analyze the characteristics of quality differences between batches.Results:Thirty-four common peaks were calibrated across all batches.Combined with partial least squares analysis,six key difference markers were further screened,including terpenoids such as isotanshinone Ⅱ A and tan-shinone Ⅱ A and phenolic acids such as salvianolic acid G.The support vector machine model can achieve 100％accuracy of origin discrimination by optimizing parameters jointly with genetic algorithm and grid search.Conclusion:This study developed a digital quality evaluation system for Salvia miltiorrhiza-Monascus fermentation products through a three-step analytical strategy("chemical feature exploration-marker screening-model valida-tion"),providing a transferable technical pathway for the intelligent transformation of traditional Chinese medicine quality control.