Objective: To explore the association between meat consumption and anxiety symptoms in first year junior high school students in Yunnan Province, and to provide theoretical support for preventing and relieving anxiety symptoms in junior high school students. Methods: From October to December 2022, a random cluster sampling method was used to select 8 500 first year junior high school students from 11 counties in Yunnan Province as the survey subjects for a questionnaire survey. The study used Food Frequency Questionnaire and the Chinese version of the Depression Anxiety Stress Scale-21 (DASS-21) to assess the meat consumption and anxiety symptoms of junior high school students.The distribution differences in anxiety symptoms among first year junior high school students with different demographic characteristics were analyzed statistically by using the Chi-square test,and the association between meat consumption and anxiety symptoms in students was analyzed by using a generalized linear model. Results: The detection rate of anxiety symptoms was 48.47%. After controlling for demographic variables and confounding factors, the consumption of livestock meat, poultry meat, processed meat, cured meat, barbecued meat and raw skin meat was statistically significant with anxiety symptoms ( β =-0.05, 0.04, 0.04, 0.08, 0.14, 0.17, all P <0.05). Stratified by ethnicity, The consumption of livestock meat, cured meat and barbecue was statistically correlated with anxiety symptoms in Han adolescents ( β =-0.07, 0.14, 0.22 ); the consumption of processed meat and raw skin meat was statistically correlated with anxiety symptoms in ethnic minority adolescents ( β =0.08, 0.18) (all P <0.05). Conclusions There is a statistical association between meat comsumption and the risk of anxiety symptoms in first year junior high school students in Yunnan Province. Guidance on meat consumption should be strengthened to prevent the occurrence of anxiety symptoms.

Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

ObjectiveTo investigate the clinical effects and safety of Shuhe Granules （舒和颗粒） in patients with rheumatoid arthritis （RA） comorbid with insomnia. MethodsA single-arm prospective exploratory design was adopted. Thirty RA patients comorbid with insomnia and diagnosed with the traditional Chinese medicine （TCM） syndrome of kidney-heart deficiency and qi-blood disharmony were enrolled. On the basis of maintaining their original RA treatment regimens， all patients received oral Shuhe Granules， one dose per day， for 12 consecutive weeks. The outcomes were assessed before treatment and at weeks 4， 8， and 12 after treatment. Sleep and related psychosomatic function were evaluated using the insomnia severity index （ISI）， Pittsburgh sleep quality index （PSQI）， fatigue severity scale （FSS）， patient health questionnaire-9 （PHQ-9）， generalized anxiety disorder-7 （GAD-7）， and Montreal cognitive assessment （MoCA） scores. RA-related assessments included the 28-joint disease activity score based on C-reactive protein （DAS28-CRP）， pain visual analog scale （VAS）， tender joint count （TJC28）， swollen joint count （SJC28）， morning stiffness duration， and health assessment questionnaire （HAQ） score. Laboratory parameters included erythrocyte sedimentation rate （ESR）， serum C-reactive protein （CRP）， anti-cyclic citrullinated peptide antibody （anti-CCP）， and rheumatoid factor （RF） levels. A literature-based historical control group was established through literature retrieval and meta-analysis. The ISI， PSQI， DAS28-CRP， and pain VAS scores were compared between the treatment group in the present study and the historical control group. Safety assessments were also performed. ResultsCompared with baseline before treatment， ISI and PSQI scores decreased at weeks 4， 8， and 12， while MoCA scores increased at weeks 4， 8， and 12. FSS scores decreased at weeks 4 and 12. At weeks 8 and 12， GAD-7 scores， DAS28-CRP scores， duration of morning stiffness， TJC28， and SJC28 were reduced. At week 12， PHQ-9， pain VAS， and HAQ scores significantly decreased （P＜0.05）. FSS and DAS28-CRP scores at week 12 were lower than those at week 4， and CRP levels at week 8 were lower than those at week 4 （P＜0.05）. Compared with the historical control group， the treatment group showed superior improvement in ISI and PSQI scores （P＜0.001）； however， no statistically significant differences were observed between the two groups in DAS28-CRP or pain VAS scores （P＞0.05）. No serious adverse events occurred during the study， and the 4 reported mild adverse events were all considered unrelated to the study medication. ConclusionShuhe Granules significantly improve sleep quality， fatigue， emotional status， cognitive function， RA-related symptoms， and joint function in patients with RA comorbid insomnia， with good safety and tolerability.

Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

Objective: To analyze the structural changes in whole blood and apheresis platelet donations in Chinese Society of Blood Transfusion (CSBT) sentinel units from 2021 to 2025, and to provide evidence for donor recruitment and blood service management. Methods: Aggregated data reported by sentinel sites were collected and stratified according to six indicators: age, sex, donation history, donation volume, donation site, and organization mode. Pearson χ test, Cramer′V coefficient, Cochran-Armitage trend test and simple linear regression were adopted for analysis. Results: A total of 16 256 973 whole blood donations and 1 576 546 apheresis platelet donations were included. Among whole-blood donations, the proportion of donors aged 18-22 years decreased from 27.30% to 10.60%. The proportion of male donors increased from 58.81% to 63.13%; the proportion of people aged 30 and above increased from 58.40% to 75.30%; the proportion of fixed locations rose from 28.37% to 36.57%; the proportion of social groups increased from 21.69% to 39.69%. The 400-mL donations decreased from 62.12% to 53.46%, while individually initiated voluntary donations remained above 50%. Apheresis platelet donations were predominantly from males, individuals aged 30-39 years, and repeat donors; 2-treatment-unit apheresis platelet donations increased from 67.19% to 74.93%, and individually initiated donations accounted for 92.97%-96.02%. Statistically significant overall annual compositional differences were observed for all six indicators (all P<0.001), whereas linear trends for some sub-categories were not statistically significant. Conclusion: In the participating CSBT sentinel units, among whole blood donations, the proportions of donors aged 18-22 years, university-organized group donations, and donations at blood mobiles decreased, whereas the proportions of organizational group donations and donations at fixed venues increased. The apheresis platelet donation cohort is relatively mature and is evolving toward a high-efficiency donation model. Individual voluntary donation remains the primary organization mode for both donation types. Strategies such as youth donor recruitment, optimized layout of fixed donation sites, and retention of repeat donors should be strengthened to improve the resilience of blood supply.

AIM: To examine differences in etiology, risk factors, gender, and acute-phase manifestations of retinal artery occlusion(RAO)patients in different age groups, highlighting age-related heterogeneity.

METHODS:This retrospective comparative cohort study enrolled patients with RAO. Patients were divided into <50 y group and ≥50 y group. Etiological classification was based on modified TOAST criteria. Comparisons assessed the prevalence of risk factors, etiological distribution, sex ratio, and, in cases of acute central retinal artery occlusion(CRAO), fundus characteristics and visual outcomes.

RESULTS:This study included a total of 145 RAO patients,which were divided into two groups based on age: <50 y group(15 females and 13 males)with the mean age of 36.64±9.72 y, and ≥50 y group(38 females and 79 males)with the mean age of 63.50±9.54 y. Hypertension(46.4% vs 85.5%)and diabetes(3.6% vs 27.4%)were less prevalent in <50 y group(both P<0.001). The <50 y group was characterized predominantly by stroke of other determined etiology(SOE, 35.7% vs 2.6%, P<0.001), whereas the ≥50 y group was dominated by small artery occlusion(SAO, 35.9%)and large artery atherosclerosis(LAA, 31.6%), the incidence rates were significantly higher in the ≥50 y group than in the <50 y group(both P<0.001). Females were more frequently represented in <50 y group(53.6% vs 32.5%, P=0.039). Multivariable analysis demonstrated that LAA was independently linked to older age and SOE to younger age. Boxcarring occurred exclusively in ≥50 y patients\〖39.5%(17/43)vs 0, P=0.011\〗.

CONCLUSION:The RAO patients<50 y predominantly present with non-atherosclerotic causes and a higher proportion of females, whereas patients≥50 y are mainly affected by atherosclerosis driven etiologies and show signs of reduced vascular compensatory capacity. These findings indicate that age-related differences in RAO should be taken into account when determining etiologic evaluation and management strategies.

Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.

Background and Aims:Surgical treatment is a cornerstone of breast cancer management;however,the physical trauma and psychological burden associated with surgery may adversely affect patients'quality of life(QoL).Based on data from a prospective cohort,this study was conducted to evaluate changes in postoperative QoL among breast cancer patients and to identify mediating factors influencing QoL,thereby providing evidence for perioperative rehabilitation strategies.Methods:Female breast cancer patients who underwent local surgical treatment at Suining Central Hospital between June 2024 and January 2025 were enrolled.The Constant-Murley Shoulder Score,EORTC QLQ-C30,and QLQ-BR23 questionnaires were used pre-and postoperatively to assess shoulder joint function,and QoL.Paired t-tests were used to analyze changes in scores before and after surgery.A mediation model was applied to explore the indirect pathways through which surgery impacts QoL.Additionally,subgroup analyses were conducted to compare QoL changes across different surgical modalities.Results:A total of 148 patients were included,with median age of 54(46-60)years old Postoperative psychological health significantly improved,while shoulder function and overall QoL scores markedly declined(all P<0.001).According to QLQ-C30,functional domains such as physical and role functioning worsened,while symptom burden increased.The QLQ-BR23 revealed significantly higher scores for breast and upper limb symptoms postoperatively(both P<0.001).Subgroup analyses showed that patients undergoing axillary lymph node dissection experienced greater declines in shoulder function and QoL compared to those receiving sentinel lymph node biopsy(both P<0.05).QoL deterioration was comparable between mastectomy and breast-conserving surgery,although the former was associated with more prominent pain and breast symptoms.Mediation analysis indicated that shoulder function,breast symptoms,and physical functioning served as mediators in the impact of surgery on QoL,while better psychological health exerted a protective effect.Conclusion:Surgical treatment significantly affects postoperative QoL in breast cancer patients,with local functional impairment and symptom exacerbation serving as key mediators.Different surgical approaches have varying impacts on QoL.Enhancing postoperative shoulder rehabilitation,symptom management,and psychological support may improve patients'QoL.

AIM:This study aimed to confirm the glycolytic inhibitory activity of 3-bromopyruvic acid(3BP)and to assess whether this inhibition could ameliorate hypoxia-induced pulmonary hypertension in rats.METHODS:PAH model rats were generated from normal SD rats via exposure to normal pressure and hypoxia.Intervention groups I and II(6 rats per group)were then intraperitoneally injected with 3BP(15 mg/kg),and the normal and hypoxia groups(6 rats per group)were given the same amount of normal saline for a total of 21 d.The average pulmonary artery pressure of the rats in each group was measured via right heart catheterisation,and hilar tissue measurements.The right ventricle(RV),left ventricle,and interventricular septum(LV+S)were weighed,and the ratio of RV/(LV+S)was calculated as an index of right ventricular hypertrophy.Right lower lung tissues were fixed in 4%paraformaldehyde-PBS buffer,sec-tioned in conventional paraffin(5 μm thick),stained with HE and Masson,photographed under a microscope.Then the thickness ratio of the tunica media and the area ratio of collagen fibres were calculated.The expression of pyruvate kinase isozyme type M2(PKM2),nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3),and pyruvate de-hydrogenase(PDH)proteins in the hilar tissues of each group were detected by western blot,whereas interleukin-1β(IL-1β)and IL-18 contents were detected using ELISA,and lactic acid content was detected using a lactic acid kit.RE-SULTS:The results showed that 3-brpa effectively inhibited glycolysis and significantly improved hypoxia-induced pulmo-nary hypertension in rats.Compared with the hypoxia group,in intervention group II,PKM2 expression was decreased(P<0.05),PDH expression increased significantly(P<0.01),and NLRP3 expression was decreased(P<0.05).The IL-18 and IL-1β contents decreased(P<0.05 or P<0.01,respectively).Pulmonary hemodynamic indexes showed that the pro-portion of the right ventricle and the mean pressure of the pulmonary artery decreased(P<0.05 or P<0.01,respectively).The HE and Masson staining results showed that the thickness ratio of the tunica media and the area ratio of collagen fibres decreased significantly(P<0.01).Lactic acid content was significantly decreased(P<0.01).CONCLUSION:This study showed that 3BP can inhibit glycolysis and alleviate hypoxia-induced pulmonary hypertension in rats.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*