Objective: To explore the association between physical activity and sleep quality among middle school students, so as to provide reference for adolescent sleep improvement. Methods: From September to December 2023, 5 713 middle school students aged 13-18 years were selected from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi by stratified cluster random sampling method. Pittsburgh Sleep Quality Index (PSQI) and Evaluation of Physical Activity Levels of Children and Adolescents Aged 7-18 Years were used to investigate and evaluate sleep quality and physical activity. Comparisons between groups were made using the t-test, Mann-Whitney U-test, and associations between physical activity and sleep quality of middle school students were analyzed using Spearman correlation and linear regression methods. Results: The total PSQI scores were 4.0(2.0,6.0) and 5.0 (3.0,6.0) for boys and girls, respectively, with significant sex difference ( Z =-10.90, P <0.01); light physical activity(LPA) and moderate to vigorous physical activity(MVPA) of boys were 18.57 (2.86, 42.86) and 68.57 (35.71, 119.18)min, and girls were 14.29 (0.00, 30.00) and 55.71 (31.43, 92.86)min respectively, and the differences were statistically significant ( Z =3.65, -8.65 , P <0.01). The results of Spearman correlation regression showed that adolescents MVPA was negatively correlated with the total PSQI score ( r =-0.04, P <0.01). After controlling for variables such as mental health, nutritional status and maximum oxygen uptake, the results of linear regression analysis showed that PSQI total score negatively predicted MVPA among middle school students ( B =-4.76, 95% CI =-7.16 to -2.36, P <0.05). Conclusion The longer the duration of physical activity among middle school students, the better the quality of sleep.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective: To confirm the therapeutic efficacy of the ginkgo biloba extract EGb761 on ischemic stroke and elucidate its underlying mechanism. Methods: Male Sprague-Dawley rats were divided into three groups: sham, model, and EGb761 (ginkgo biloba extract). Ischemic stroke was then simulated in rats via embolic middle cerebral artery occlusion surgery, with the extract administered half an hour before surgery. Neurological deficit scores, infarct volume, cerebral edema rate, and inflammatory factors served as the primary metrics for drug efficacy. Serum metabolites were analyzed using 1H-nuclear magnetic resonance to elucidate the operative mechanism. Results: Treatment with the ginkgo biloba extract EGb761 significantly ameliorated the neurological deficit scores (P = .0343), diminished the cerebral infarct volume (P = .0001) and cerebral edema rate (P = .0030), and alleviated neuroinflammation (all P < .05) in middle cerebral artery occlusion rats. In addition, it significantly altered the contents of various metabolites, such as 2-hydroxybutyrate, isoleucine, isopropanol, isobutyric acid, N6-acetyllysine, glutamate, glutamine, methionine, and N,N-dimethylglycine (all P < .05). Enrichment analysis of the differential metabolites indicated that EGb761 may be involved in the regulation of amino acid metabolism, betaine metabolism, glucose-alanine cycle, Warburg effect, and urea cycle. Conclusion The ginkgo biloba extract EGb761 demonstrates anti-ischemic stroke effect on ischemic stroke model rats by regulating amino acids and amino acid derivatives, such as isoleucine, N6-acetyllysine, glutamate, methionine, and N,N-dimethylglycine.

OBJECTIVE: To observe the effects of electroacupuncture (EA) with different frequencies on spermatogenic function, testicular morphology and oxidative stress in oligoasthenospermia (OAT) rats, and to explore the mechanism and the optimal parameters of EA for OAT. METHODS: Sixty SPF-grade male SD rats were randomly divided into a solvent control group, a model group, a 2 Hz EA group, a 100 Hz EA group and a 2 Hz/100 Hz EA group, with 12 rats in each group. Except for the solvent control group, the other 4 groups were administered ornidazole suspension (800 mg·kg^-1·d^-1) by gavage for 28 d to establish the OAT model. Starting from the 1st of modeling, EA was applied at "Guanyuan" (CV4), "Qihai" (CV6) and bilateral "Sanyinjiao" (SP6) and "Zusanli" (ST36) in the 3 EA groups, continuous wave of 2 Hz, continuous wave of 100 Hz, and disperse-dense wave of 2 Hz/100 Hz were used in the 2 Hz EA group, the 100 Hz EA group, and the 2 Hz/100 Hz EA group, respectively, with current intensity of 1-3 mA, 30 min a time, once every other day, for 28 consecutive days. After intervention, the testicular index was calculated, epididymal sperm quality was assessed, and the fertility ability was observed; morphology of testicular tissue was observed by HE staining, and the Johnson score was calculated; the positive expression of reactive oxygen species (ROS) in testicular tissue was detected by immunofluorescence; the activity of superoxide dismutase (SOD) and catalase (CAT), as well as the level of malondialdehyde (MDA) in testicular tissue were measured by ELISA; the protein expression of nuclear factor erythroid 2-related factor 2 (Nrf2) and heme oxygenase-1 (HO-1) in testicular tissue was detected by Western blot. RESULTS: Compared with the solvent control group, in the model group, the testicular index, sperm concentration, sperm motility and the number of offspring were decreased (P<0.01), the seminiferous tubules atrophied and the Johnson score decreased (P<0.01); the activity of SOD and CAT, as well as the protein expression of Nrf2 and HO-1 in testicular tissue were decreased (P<0.01); the sperm deformity rate, the positive expression of ROS and the MDA level in testicular tissue were increased (P<0.01). Compared with the model group, in the 2 Hz EA group, the 100 Hz EA group and the 2 Hz/100 Hz EA group, the testicular index, sperm concentration, sperm motility and the number of offspring were increased (P<0.05, P<0.01), the pathological morphology of testicular tissue improved and the Johnson scores increased (P<0.01); the activity of SOD and CAT, as well as the protein expression of Nrf2 and HO-1 in testicular tissue were increased (P<0.05, P<0.01); the sperm deformity rate, the positive expression of ROS and the MDA level in testicular tissue were decreased (P<0.05, P<0.01). Compared with the 2 Hz EA group, in the 2 Hz/100 Hz EA group, the testicular index, sperm concentration, sperm motility, as well as the CAT activity and HO-1 protein expression in testicular tissue were increased (P<0.01, P<0.05); the positive expression of ROS was decreased (P<0.01). Compared with the 100 Hz EA group, in the 2 Hz/100 Hz EA group, the testicular index was increased (P<0.01), the positive expression of ROS in testicular tissue was decreased (P<0.01). CONCLUSION EA with 2 Hz continuous wave, 100 Hz continuous wave, and 2 Hz/100 Hz disperse-dense wave can all improve the spermatogenic arrest and reduce the level of oxidative stress in testicular tissue in OAT rats, the mechanism may be related to up-regulating the protein expression of Nrf2 and HO-1 and improving oxidative stress. EA with disperse-dense wave of 2 Hz/100 Hz shows the optimal effect.
Male ; Animals ; Electroacupuncture ; Oxidative Stress ; Rats ; Rats, Sprague-Dawley ; Spermatogenesis ; Oligospermia/genetics* ; Humans ; Testis/metabolism* ; Superoxide Dismutase/metabolism* ; Asthenozoospermia/genetics* ; Acupuncture Points ; Malondialdehyde/metabolism*

Objective To investigate the effect and potential mechanism of rat mesenchymal stem cells(MSC)on D-galactose-induced brain-tissue aging.Methods A rat brain-aging model was established by injecting D-galactose,and rats in the treatment group received MSC injections via the tail vein.Superoxide dismutase(SOD)activity and malondialdehyde(MDA)levels were assessed in rat brain tissue at the end of the experiment,and pathological changes in brain tissue were observed by hematoxylin-eosin(HE)staining.Expression levels of the inflammatory factors interleukin(IL)-1 and IL-6,the pathway proteins brain-derived neurotrophic factor(BDNF)-tropomyosin receptor kinase B(TrkB),the negative growth regulators p53 and p16,as well as vascular endothelial growth factor(VEGF)and basic fibroblast growth factor(bFGF)were observed by polymerase chain reaction(PCR)and Western Blot.Results Brain levels of SOD activity were significantly increased and MDA levels were significantly decreased in rats in the modle group compared with the treatment group(P＜0.05).The pathological state of the cerebral cortex and hippocampus were improved and the number of neurons and nucleus pulposus ratio in the brain were increased in the treatment group,as shown by HE staining.Expression levels of IL-1,IL-6,p53,and p16 were significantly decreased,while BDNF,TrkB,VEGF,and bFGF were significantly increased in the treatment group compared with the model group,as shown by PCR and Western Blot(P＜0.05).Conclusions These result suggest that MSCs potentially mitigate D-galactose-induced cerebral senescence by concurrently modulating the BDNF-TrkB axis to attenuate oxidative/inflammatory damage,while enhancing the secretion of vasculotrophic(VEGF)and neurotrophic(bFGF)factors for neuronal maintenance.

Objective To investigate the dynamic functional connectivity differences between insomnia patients and healthy controls in triple brain networks[the significant network(SN),the default mode network(DMN),and the executive control network(ECN)]using functional magnetic resonance imaging,and uncover their associations with cognitive ability.Methods Dynamic functional connectivity analysis was performed on functional magnetic resonance imaging data from 40 insomnia patients and 40 healthy controls.The changes in dynamic functional connectivity values were studied for SN,DMN,ECN[including the left executive control network(LECN)and the right executive control network(RECN)];the similarities and differences in time characteristic indicators such as time score,average dwell time,and conversion rate were explored;and their associations with clinical information were analyzed.Results The SN-LECN and DMN-RECN dynamic functional connectivity was significantly higher in insomnia patients than in healthy controls(P=0.013,0.047),while the RECN-LECN and RECN internal functional connectivity strength was lower in insomnia patients than in healthy controls(P<0.001).Additionally,the fractional time in state 2 in insomnia group was significantly higher than that in healthy controls(P<0.001),and it was positively correlated with the Pittsburgh sleep quality index(r=0.524,P=0.001).Conclusion Insomnia patients exhibit significant abnormalities in triple brain network dynamic functional connectivity,which may be related to abnormalities in cognitive control and sensory processing in insomnia patients.These findings provide a new perspective for further research on the neural mechanisms and potential intervention strategies for insomnia.

Bow hunter's syndrome,also referred to as rotational vertebral artery occlusion syndrome,is a rare etiological factor of posterior circulation infarction.This article reported a case of a young male patient who experienced recurrent posterior circulation infarctions caused by bilateral bow hunter's syndrome.Carotid ultrasonography confirmed a marked reduction in blood flow velocity in both vertebral arteries during neck rotation.High-resolution MR angiography and CT angiography of the head and neck revealed dissection involving the V3 segment of the left vertebral artery.The findings suggested that bow hunter's syndrome may be associated with thrombus formation secondary to repetitive mechanical compression of the vertebral artery intima,which could potentially lead to arterial embolism and subsequent cerebral infarction.This paper presents the patient's diagnostic and therapeutic course and includes a review of relevant literature aimed to enhance clinical awareness and understanding of this uncommon condition.

Malignant peritoneal mesothelioma (MPM), as a highly aggressive primary malignant tumor of the peritoneum, often leads to structural damage and functional impairment of female reproductive organs during its treatment course. This study presents a clinical case of an MPM patient who underwent cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC), subsequently achieving successful live birth through in vitro fertilization and embryo transfer. A comprehensive review of relevant literature was conducted to analyze both the potential benefits and associated risks. While the possibility of successful pregnancy exists for MPM patients following combined CRS and HIPEC treatment, significant clinical risks during the gestational process cannot be overlooked. Current evidence remains limited, necessitating more robust clinical data to substantiate these findings.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To explore the feasibility and efficacy of single-balloon enteroscope in the diagnosis and treatment of calculous small intestinal obstruction.Methods A retrospective analysis was performed on the clinical data of 16 patients who underwent endoscopic enterolith removal for small intestinal obstruction from July 2013 to December 2023.The outcomes of stone removal and therapeutic efficacy were evaluated.Results All the 16 patients successfully underwent single-balloon enteroscope.Among them,15 cases achieved successful stone extraction,while 1 case failed due to an oversized stone that could not pass through the pharyngoesophageal junction.The stone was subsequently pushed to the stomach and removed through surgical operation finally.Conclusion Single-balloon enteroscope has excellent efficacy in enterolith removal,with rapid postoperative recovery and less complications.It is worthy of widespread clinical application.