ObjectiveThis study aims to explore the mechanism by which Yishen Huoxue Tongqiao Formula improves metabolism-neuroplasticity and treats unilateral vestibular labyrinth destruction by regulating the metabolic balance of glutamate （Glu）/γ-aminobutyric acid （GABA）. Methods48 Sprague-Dawley （SD） adult rats were randomly divided into the sham operation group， model group， Yishen Huoxue Tongqiao Formula groups with low， medium， and high doses （9.20， 18.39， 36.78 g·kg^-1）， and betahistine group （1.62 mg·kg^-1）. A unilateral vestibular labyrinth destruction （vestibular dysfunction） model was established by intratympanic injection of chloroform into the right ear， while the control group received intratympanic injection of normal saline. Drugs were administered once daily for seven consecutive days. During the period， behavioral tests were performed to evaluate the behaviors of rats after unilateral vestibular labyrinth destruction. Hematoxylin-eosin （HE） staining and Nissl staining were used to observe the neuronal morphology in the medial vestibular nucleus. Golgi staining was employed to assess the number of dendritic spines of neurons in the medial vestibular nucleus. Ultra-performance liquid chromatography-tandem mass spectrometry （LC-ESI-MS/MS） was utilized to detect Glu/GABA. Immunofluorescence and immunohistochemistry were used to detect the expressions of neuronal nuclei （NeuN）， growth-associated protein 43 （GAP-43）， and glial fibrillary acidic protein （GFAP）. Western blot and real-time fluorescent quantitative polymerase chain reaction （Real-time PCR） were applied to determine the expressions of glutamate-immunoreactive （Glu-IR）， GABA， GFAP， postsynaptic density protein 95 （PSD-95）， and GAP-43. ResultsCompared with the sham operation group， the model group presented with head deviation， balance disorder， increased tail suspension score， nuclear consolidation of medial vestibular nerve neurons， and decreased Nissl bodies （P<0.01）. The number of dendritic spines in neurons and NeuN-positive cells decreased. The content of Glu decreased. The content of GABA increased （Glu/GABA decreased）. The expression of GAP-43 was down-regulated， and GFAP was up-regulated （P<0.05， P<0.01）. The expressions of Glu-IR， PSD-95， and GAP-43 proteins， as well as Glu-IR mRNA decreased， while the expressions of GABA and GFAP proteins and mRNA increased （P<0.05， P<0.01）. Compared with those in the model group， the head deviation， imbalanced behavior， and tail suspension scores in each treatment group decreased， with alleviated neuronal injury and recovered Nissl bodies （P<0.01）. The number of dendritic spines of neurons increased， and the number of NeuN-positive cells rebounded. The content of Glu increased， and the content of GABA decreased （Glu/GABA increased）. GFAP was down-regulated， and GAP-43 was up-regulated （P<0.05， P<0.01）. The expressions of Glu-IR， PMD-95， and GAP-43 proteins， as well as Glu-IR mRNA increased， while the expressions of GABA and GFAP proteins and mRNA decreased. The effect was more significant in the high-dose group （P<0.01）. ConclusionThe Yishen Huoxue Tongqiao Formula can alleviate vestibular dysfunction， and its mechanism may be associated with regulating the metabolic balance of Glu/GABA， mitigating neural damage， improving synaptic plasticity （promoting GAP-43 expression and inhibiting GFAP expression）， and facilitating vestibular compensation.

ObjectiveTo develop a full-process data platform of renal rehabilitation, diagnosis and quality control information. MethodsA hierarchical architectural design was proposed, adhering to clinical pathway models and standardized data protocols. The platform comprehensively covered assessment, intervention, follow-up and quality control for maintenance hemodialysis (MHD) patients. By integrating multidisciplinary resources and standardizing rehabilitation workflows, it delivered standardized and intelligent rehabilitation services. ResultsThe platform achieved standardized and intelligent management of rehabilitation services, effectively improved the physiological function, psychological state and quality of life convenience for MHD patients, while significantly reduced the economic and care burden on patients' families and society. ConclusionThe rehabilitation service model based on a full-process data platform may provide scientific and systematic support for MHD patients.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95％Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2％and a specificity of 87.6％,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1％to 92％,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.

ObjectiveTo explore the epidemiological characteristics of poisoning cases in Qingpu District, Shanghai, and to provide a scientific basis for the prevention and control of poisoning within the district. MethodsA retrospective study was conducted to collect the information of 3 415 poisoning cases admitted to sentinel hospitals from 2018 to 2024. Descriptive statistical analyses were performed regarding the causes of poisoning, types of toxicants, gender and age distribution, and temporal distribution. Chi-square tests were used to analyze differences among groups. ResultsMales accounted for 64.30% of the poisoning cases, and the 20‒39 years old group (51.27%) constituted the largest proportion. The top three causes of poisoning were alcohol abuse (61.00%), suicide (15.20%), and accidental ingestion (9.93%). The distribution of poisoning causes varied significantly by gender and age groups (P<0.001). Among cases aged 10 years old and below, the main causes of poisoning were accidents/disasters and accidental ingestion; among cases aged 20 to 69 years old, alcohol abuse was the primary cause; among cases aged 11 to 19 years old and 70 years old and above, suicide was the primary cause of poisoning. The categories of toxic subtances included alcohol (61.41%), drugs (21.93%), pesticides or rodenticides (6.21%), toxic gases or liquids (5.68%), and venomous animals (3.95%). The composition of toxic subtance categories differed by gender (χ²=714.8, P<0.001): males were primarily poisoned by alcohol (78.32%), while females were primarily poisoned by drugs (45.53%). Poisoning occurred most frequently in January, July, and August. Alcohol poisoning peaked in January; pesticide or rodenticide poisoning peaked in June‒July; toxic gas or liquid poisoning (CO accounted for 69.59%) peaked in December and January; venomous animal poisoning (bee stings accounted for 97.78%) peaked from June to August. There were 8 deaths for the poisoning cases, with a case fatality rate of 0.23%. ConclusionThe situation of poisoning in this district was relatively severe. Prevention and control measures targeting the characteristics of poisoning in different populations and the distinct peak periods should be implemented to reduce the incidence of poisoning in the district.

ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R²=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.

ObjectiveTo evaluate the clinical efficacy of Xu's Shenqiyizhu （SQYZ） decoction combined with chemotherapy in the treatment of cancer-related fatigue （CRF） of stagnated-toxin spleen deficiency type after gastric cancer surgery and explore its possible mechanism. MethodsFifty postoperative gastric cancer patients with CRF of stagnated-toxin spleen deficiency type were selected and randomly divided into an experimental group and a control group by using a random number table，with 25 cases in each group. The control group was treated with FLOT chemotherapy （50 mg·m^-2 docetaxel （iv drip on day 1） + 85 mg·m^-2 oxaliplatin （iv drip on day 1） + 200 mg·m^-2 calcium folinate （iv drip on day 1） + 2 600 mg·m^-2 fluorouracil （iv drip for 24 h on day 1），once every three weeks） and basic and symptomatic supportive treatment. The experimental group was treated with Xu's SQYZ decoction （decocted twice，200 mL taken orally twice a day） in addition to the treatment of the control group. One course of treatment lasted for three weeks，with a total of four courses conducted. Observation was performed on the piper fatigue scale （PFS） scores，karnofsky performance status （KPS） scores，European Organization for Research and Treatment of cancer quality of life questionnaire （EORTC QLQ-C30） scores，traditional Chinese medicine syndrome scores，and serum levels of tumor necrosis factor-α （TNF-α），interferon-γ （IFN-γ），and interleukin-6 （IL-6）detected via enzyme linked immunosorbent assay （ELISA） before and after treatment in the two groups. The safety test results before and after treatment for the two groups of patients，as well as the occurrence of adverse events during treatment， were recorded. Transcriptome sequencing data of peripheral blood samples from gastric adenocarcinoma patients and normal individuals were downloaded from the gene expression omnibus （GEO） database，and differentially expressed genes between the tumor and normal groups were identified. Differential gene enrichment analysis was made based on the Kyoto Encyclopedia of Genes and Genomes （KEGG） and Gene Ontology （GO）. The CRF relevance scores of genes were retrieved from the GeneCards database. Results① Compared with that before treatment，the total PFS score in the experimental group was significantly reduced （P<0.05）. Compared with the control group after treatment，the experimental group showed significantly reduced total PFS score （P<0.05）. ② Compared with that before treatment，the KPS score in the experimental group decreased significantly （P<0.05）. Compared with the control group after treatment，the experimental group exhibited a significantly decreased KPS score （P<0.05）. The experimental group demonstrated significantly increased functional scores （physical function，role function，emotional function，social function，and overall health） （P<0.05） and significantly reduced symptom scores （fatigue，shortness of breath，loss of appetite，constipation，and diarrhea） of the EORTC QLQ-C30 scale after treatment compared with before treatment. Compared with the control group after treatment，the experimental group presented significantly increased functional scores （physical function，emotional function，social function，and overall health） （P<0.05） and significantly reduced symptom scores （fatigue，nausea and vomiting，shortness of breath，loss of appetite，and diarrhea） of the EORTC QLQ-C30 scale （P<0.05）. Compared with those before treatment，the traditional Chinese medicine syndrome scores （eating too little and poor digestion，fatigue and weakness，postprandial bloating，abnormal bowel movements，lassitude and weakness，and total score） in the experimental group were significantly reduced （P<0.05）. Compared with the control group after treatment，the experimental group had significantly reduced traditional Chinese medicine syndrome scores （eating too little and poor digestion，fatigue and weakness，nausea and vomiting，and sallow complexion） （P<0.05）， which indicated better efficacy in the experimental group than in the control group （χ²=7.996，P<0.05）. The serum levels of TNF-α，IL-6，and IFN-γ were significantly correlated with each other （P<0.01）. Compared with those before treatment，the levels of serum cytokines TNF-α，IL-6，and IFN-γ in the experimental group were significantly reduced （P<0.05）. Compared with the control group after treatment，the experimental group showed significantly reduced serum levels of cytokines TNF-α，IL-6，and IFN-γ （P<0.05）. ③ There were no significant intra-group and inter-group differences in the safety test results of the two groups before and after treatment. During the treatment period，there was no significant difference in the incidence of adverse reactions between the two groups of patients. ④ Compared with the normal group，the tumor group exhibited a total of 328 significantly up-regulated genes in the peripheral blood （P<0.05），and KEGG and GO analyses showed that they were significantly enriched in signaling pathways such as TNF （P<0.05）. ⑤ TNF，IL6，IFNG， and other cytokine encoding genes may be key pathogenic genes for CRF. ConclusionXu's SQYZ decoction can alleviate symptoms such as fatigue in postoperative chemotherapy patients with gastric cancer and improve their functional status and quality of life. Its mechanism may be related to improving cytokine imbalance.

Objective: To explore the role of outdoor activity in the relationship between infancy responsive caregiving trajectories and early childhood development, so as to provide a theoretical basis for the promotion of early child development. Methods: The study participants were drawn from the Shanghai Maternal-Child Pairs Cohort and 4 723 mother-child pairs who completed responsive caregiving questionnaires at 2, 6 and 12 months old were included. Questionnaires were used to assess children s responsive caregiving and average daily hours of outdoor activity at 2 years of age. The Age-Stage Questionnaire, Third Edition (ASQ-3) was used to evaluate children s development problems at 2-5 years old. Group based trajectory model was applied to fit infancy responsive caregiving trajectory. Modified Poisson regression was used to analyze associations between different responsive caregiving trajectory groups and child development, and moderating effects were tested for hours of outdoor activity. Results: Infancy responsive caregiving trajectories were categorized into general group ( n =3 871), declining group( n =160), and fluctuating group( n =646). After adjusting for confounding factors, such as parents educational level, annual household income, maternal progestation body mass index,maternal tobacco exposure during pregnancy,maternal anxiety and depression during pregnancy, maternal age at delivery,maternal gestational age,maternal mode of delivery, children s gender,children s birth weight, and duration of breastfeeding, the results of modified Poission regression analysis showed that compared with the general group, children at the age of 2 in declining and fluctuating group had increased risks of suspected developmental delays in communication, gross motor, fine motor, problem solving, and personal-social scales ( OR =1.41,1.31,1.35,1.23,1.21；1.07,1.08,1.08,1.09,1.06);but children only had increased risk of suspected developmental delays in communication of declining group ( OR =1.08), personal-social scales of fluctuating group ( OR =1.06) at 3-5 years of age ( P <0.05). At lower levels of outdoor activity, children in fluctuating group had reduced scores in communication ( β =-1.41), fine motor ( β =-2.34), problem solving ( β =-1.11) and personal-social scales ( β =-1.99) as compared to general group; and children in declining group had reduced scores in gross motor ( β =-4.78)( P <0.05). While at higher levels of outdoor activity, no differences were found between children in fluctuating, declining groups and those in general group in scores of different scales ( P >0.05). Conclusion Prolonged outdoor activity attenuates the adverse effects of declining and fluctuating trajectories of infancy responsive caregiving on early childhood development.

Childhood is a critical period for growth and development, and the oral microbiota, as the second most diverse microbial community in the human body, plays a pivotal role in maintaining children's health. Recent studies have demonstrated that dysbiosis of the oral microbiota not only contributes to oral diseases such as dental caries and periodontitis but may also influence the development of children's skeletal, nervous, digestive, cardiovascular, and immune systems through mechanisms involving inflammatory responses, metabolic regulation, and cross-organ communication networks. This review systematically examines the role of the oral microbiota in childhood growth and development and, guided by the core principles of the "active health" model, proposes multiple intervention strategies—including probiotics, xylitol, and mouthwashes—to optimize children's health through early oral microbiota modulation.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.