Functional dyspepsia （FD） is a prioritized disease category where traditional Chinese medicine （TCM） demonstrates distinct therapeutic advantages. The current western medicine treatment for FD is mainly based on proton pump inhibitors and prokinetic agents， with digestive enzymes， probiotics and antidepressants serving as adjuvant medication， yet such therapies still have certain limitations. TCM treatment for FD includes oral administration of Chinese herbal formulas and Chinese patent medicines， as well as external TCM therapies such as acupuncture and moxibustion， acupoint application， hot medicinal compress therapy， rubbing with ointment， medicinal iontophoresis， auricular acupoint therapy and tui na （Chinese medical massage）. The combined treatment of FD with integrated TCM and western medicine can significantly improve clinical effectiveness and reduce adverse reactions. The common mechanisms underlying the therapeutic effects of both TCM and western medicine revolve around the core pathological processes of FD， mainly focusing on restoring gastrointestinal motility， regulating the levels of brain-gut peptides， modulating intestinal microecology， and ameliorating inflammatory status. The differential mechanisms lie in the precise targeting feature of western medicine versus the holistic-regulating and multi-target characteristics of TCM， and the two approaches exert a synergistic effect to enhance efficacy. This paper proposes to leverage the advantages of TCM in holistic regulation and the strengths of western medicine in targeted treatment， so as to provide personalized and comprehensive treatment regimens for FD patients.

The chapter Zhouyu in Guoyu says "Qi of the heaven and the earth moves without losing its order." With lucidity ascending and turbidity descending， Qi moves in a normal state， and Yin and Yang consolidate the foundation of the body. The mutual interference between lucidity and turbidity leads to the disorder of Qi movement， thus causing diseases. It is a pathological state of disorder between ascending and descending， as well as between entering and exiting， gradually evolving into a state of turbidity affecting lucidity and transforming into pathogen， which can be used to interpret and analyze the core of disease pathogenesis. The theory of lucidity and turbidity is connected with the harmony of nutrient and defensive aspects， Qi circulation， and sweat pore associating with Qi movement， and it has common implications with immune responses and nutrient metabolism system， intestinal mucosal barrier function， and mitochondrial energy synthesis. Modern studies have shown that intestinal flora imbalance， bile acid receptor inactivation， macrophage polarization imbalance， epithelial-mesenchymal transition， ferroptosis and other related microscopic pathological mechanisms are involved in the development and progression of ulcerative colitis. By delving into the common meaning of the classic theory of mutual interference between lucidity and turbidity in traditional Chinese medicine and modern medical pathological mechanisms， this paper summarizes the correspondence between the micropathological mechanism and the theory of mutual interference between lucidity and turbidity in the regulation and mamagement of ulcerative colitis. The combined use of sweet and warm medicinal materials consolidates the middle Qi and activates Qi circulation， thus ascending lucidity and descending turbidity. The combined use of pungent medicinal materials for dispersing and bitter medicinal materials for descending simultaneously raises warm and clear Qi. Wind-extinguishing medicinal materials facilitate the ascending of Qi and the opening of sweat pores. Accordingly， turbidity descends and lucidity ascends. The prescriptions incorporating these medication principles are in agreement with the therapeutic approach of following the normal flow of lucidity and turbidity. This paper clarifies the scientific connotation and micropathologic mechanism of ulcerative colitis from the perspective of mutual interference between lucidity and turbidity， providing new theories and prescriptions for the clinical diagnosis， treatment， and prevention of ulcerative colitis.

OBJECTIVE To investigate the efficacy and safety of Wuling capsules combined with fluoxetine in the treatment of adolescents with first-episode moderate-to-severe depressive disorder accompanied by insomnia. METHODS The clinical data of 476 adolescents with first-episode moderate-to-severe depression accompanied by insomnia admitted to our hospital from June 2022 to May 2025， were retrospectively collected. According to the initial treatment regimen， patients were divided into a control group （241 cases， treated with fluoxetine alone） and an observation group （235 cases， treated with Wuling capsules combined with fluoxetine）. The depression severity （Hamilton Depression Rating Scale-17 Item and the Self-Rating Depression Scale scores）， sleep quality （Pittsburgh Sleep Quality Index score， sleep latency， wake after sleep onset， total sleep time， sleep efficiency）， serum neuroendocrine indicator （cortisol） and inflammatory markers （C-reactive protein， interleukin-6） were compared between the two groups before treatment and at 4th and 8th weeks of treatment. The effective rate at 8th weeks and the occurrence of adverse drug reactions （ADRs） were also compared between the two groups. RESULTS Before treatment， there were no significant differences in depression severity， sleep quality， serum neuroendocrine indicator， and inflammatory markers between the two groups （ P ＞0.05）. At 4th and 8th weeks， both groups showed significant improvement in these indicators compared to those before treatment， with the observation group demonstrating significantly greater improvement than the control group at the corresponding time points （ P ＜0.05）. At 8th week， the eff ective rate of the observation group was 90.21%， significantly higher than 80.50% in the control group （ P ＜0.05）. The incidence of nausea， headache， fatigue， dry mouth， and palpitations， as well as the total incidence of ADRs， did not differ significantly between the two groups （ P ＞0.05）. CONCLUSIONS Wuling capsules combined with fluoxetine can significantly improve the effective rate in adolescents with first-episode moderate-to-severe depression accompanied by insomnia， accelerate the relief of depressive symptoms， improve sleep quality， and reduce serum neuroendocrine indicator and inflammatory markers， with a favorable safety profile.

OBJECTIVE To develope a predictive model for medication deviation risks during the hospital-to-home transition period in coronary heart disease （CHD） patients with initial treatment， aiming to assist medical staff in rapidly identifying high-risk groups for medication deviation. METHODS A total of 462 CHD patients with initial treatment from the Affiliated Hospital of North China University of Science and Technology （hereinafter referred to as “our hospital”） between January and July 2024 were enrolled. The patients were randomly divided into a modeling group and an internal validation group. The modeling group was further categorized into a medication deviation group and a non-medication deviation group based on whether medication deviations occurred. Similarly， 57 CHD patients with initial treatment from the cardiology department of our hospital between June and September 2025 were collected as an external validation group. Univariate analysis was used to screen predictive factors， followed by multivariate Logistic regression to construct the predictive model. Internal validation methods were employed to evaluate model performance， while external validation methods were used to test the model’s generalizability. RESULTS The 462 patients were divided into a modeling group （319 cases） and an internal validation group （143 cases）. In the modeling group， the medication deviation group （192 cases， 60.19%） and the non-medication deviation group （127 cases， 39.81%） were identified. Multivariate Logistic regression analysis revealed that age， medication type， medication adherence， and self-efficacy in rational medication use were predictive factors for medication deviations in CHD patients with initial treatment （ P ＜0.05）. The predictive model equation was logit P ＝ln[ P /（1－ P ） ] ＝1.321+1.732×age+4.091×medication type －4.360×medication adherence －3.081×self-efficacy in rational medication use. The model demonstrated good discrimination， with a Hosmer-Lemeshow goodness-of-fit test P -value of 0.439， an area under the receiver operating characteristic curve （AUC） of 0.870， sensitivity of 0.970， and specificity of 0.607. A risk nomogram with a total score of 350 points and a cutoff value of 110 points was plotted. The internal validation group showed an AUC o f 0.787 and a prediction accuracy of 77.6%， while the external validation group exhibited an AUC of 0.802 and a prediction accuracy of 73.7%. CONCLUSIONS This study successfully developed a predictive model for medication deviation risks during the hospital-to-home transition period in CHD patients with initial treatment. The model demonstrates excellent discrimination and predictive accuracy， effectively identifying high-risk populations for medication deviations. Age （＞70 years）， number of drug types≥5， poor medication adherence， and poor self-efficacy in rational medication use are independent risk factors for medication deviations.

Brain-computer interface （BCI）， as a disruptive force in medical technological innovation， have become a key technical support for treating various diseases. However， the innovation and practice of BCI technology have also been accompanied by the rise of scientific and technological ethics， urgently necessitating targeted countermeasures. Taking the ethical challenges in BCI and their responses as the research object， this paper started from the connotation of brain-computer interfaces， sorting out their concept， classification， and principles. It argued that BCI technology faced the following ethical challenges， including the risk of infringement upon neural privacy rights， the violation on the right to self-determination regarding alterations to human mental characteristics， and the issues of responsibility attribution related to BCI technology. Based on this， ethical countermeasures were proposed， encompassing actively improving and implementing ethical policies for neurotechnology， adhering to a “human-centered” philosophy in neurotechnology research and development， and prioritizing the research and development breakthroughs of countermeasures against BCI.

: To analyze the prevalence of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023, and to explore the related factors, so as to provide evidence for Rural Nutrition Improvement Program optimization. Methods: In September 2023, a stratified random cluster sampling strategy was used to select 40 rural compulsory education schools with rural nutrition improvement program in five counties of Guizhou Province. School level questionnaire was employed to collect information of basic characteristics and school meal implementation. A total of 7 826 primary and secondary school students aged 6-16 underwent anthropometry and hemoglobin (Hb) determination; serum ferritin (SF) was additionally measured in a random subsample of 1 795 pupils. Students in Grade 3 and above also completed a questionnaire covering demographic characteristics, dietary behaviours and nutrition knowledge. Group comparisons were conducted by Chi square test or Fisher s exact test, and multivariable Logistic regression models were constructed to identify factors associated with anemia and iron deficiency. Results: The overall Hb level was (133.21±12.95)g/L, with an anemia prevalence of 7.17%. The overall SF level was (69.58±59.01)μg/L, with an iron deficiency prevalence of 2.73%. Multivariable analysis showed that stunting ( OR =1.88), school menus without nutrient calculation ( OR =1.61) and absence of menu planning software in the current semester ( OR =2.34) independently increased anemia risk, whereas obesity reduced it ( OR =0.54) (all P <0.05). Girls ( OR =4.16) and Grades 7-9 ( OR =5.93) increased iron deficiency risk (both P <0.05). Compared with rarely eating fresh vegetables, students with consuming <3 kinds per day ( OR =0.08) or exactly 3 kinds per day ( OR =0.06) had lower iron deficiency risks (both P <0.05). Conclusions Anemia and iron deficiency are prevalent among primary and secondary school students in Guizhou. Targeted intervention measures should be implemented for key populations to enhance the effectiveness of nutrition improvement program.

Objective To explore whether there is a causal relationship between intestinal flora and esophageal cancer. Methods Summary statistics of intestinal flora and esophageal cancer were obtained from the Genome-wide Association Studies (GWAS) database. Five methods, including inverse variance weighted (IVW), weighted median estimation, Mendelian randomization (MR)-Egger regression, single mode, and weighted mode, were used for analysis, with IVW as the main analysis method. Sensitivity analysis was used to evaluate the reliability of MR results. Results In the IVW method, Oxalobacteraceae [OR=1.001, 95%CI (1.000, 1.002), P=0.023], Faecalibacterium [OR=1.001, 95%CI (1.000, 1.002), P=0.028], Senegalimassilia [OR=1.002, 95%CI (1.000, 1.003), P=0.006] and Veillonella [OR=1.001, 95%CI (1.000, 1.002), P=0.018] were positively correlated with esophageal cancer, while Burkholderiales [OR=0.999, 95%CI (0.998, 1.000), P=0.002], Eubacterium oxidoreducens [OR=0.998, 95%CI (0.997, 0.999), P=0.038], Romboutsia [OR=0.999, 95%CI (0.998, 1.000), P=0.048] and Turicibacter [OR=0.998, 95%CI (0.997, 0.999), P=0.013] were negatively correlated with esophageal cancer. Sensitivity analysis showed no evidence of heterogeneity, horizontal pleiotropy and reverse causality. Conclusion Oxalobacteraceae, Faecalibacterium, Senegalimassilia and Veillonella increase the risk of esophageal cancer, while Burkholderiales, Eubacterium oxidoreducens, Romboutsia and Turicibacter decrease the risk of esophageal cancer. Further studies are needed to explore how these bacteria affect the progression of esophageal cancer.

Objective: To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases, addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods. Methods: The fundus multi-label classification dataset with 12 disease categories (FMLC-12) dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition (ODIR) and Retinal Fundus Multi-Disease Image Dataset (RFMiD), yielding 6 936 fundus images across 12 retinal pathology categories, and the framework was validated on both FMLC-12 and ODIR. Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine (TCM) ophthalmology, the dual-branch multi-label network (DBMNet) was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling. The architecture employed a TransNeXt backbone within a dual-branch design: one branch processed red-green-blue (RGB) images to capture color-dependent features, such as vascular patterns and lesion morphology, while the other processed grayscale-converted images to enhance subtle textural details and contrast variations. A feature interaction module (FIM) effectively integrated the multi-scale features from both branches. Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM. The performance of DBMNet was compared against four state-of-the-art methods, including EfficientNet Ensemble, transfer learning-based convolutional neural network (CNN), BFENet, and EyeDeep-Net, using mean average precision (mAP), F1-score, and Cohen's kappa coefficient. Results: The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline, increasing from 34.41% to 44.24%, and the addition of FIM further boosted mAP to 49.85%. On FMLC-12, DBMNet achieved an mAP of 49.85%, a Cohen’s kappa coefficient of 62.14%, and an F1-score of 70.21%. Compared with BFENet (mAP: 45.42%, kappa: 46.64%, F1-score: 71.34%), DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa, while BFENet achieved a marginally higher F1-score. On ODIR, DBMNet achieved an F1-score of 85.50%, comparable to state-of-the-art methods. Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture, significantly improving multi-label fundus disease classification. The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases, providing a promising and clinically applicable pathway for standardized, intelligent fundus disease classification.

OBJECTIVE To explore the characteristics of the transient bilateral blindness caused by Iodixanol injection， analyze its occurrence mechanism， risk factors and treatment strategies， and provide references for the safe clinical use of Iodixanol injection. METHODS A retrospective analysis was conducted on the clinical data of a patient with bilateral vertebral artery stenosis who experienced transient bilateral blindness after receiving Iodixanol injection for interventional treatment. Based on this， combined with relevant literature from both domestic and international sources， a systematic analysis was carried out from aspects such as the correlation of adverse reactions， the mechanism of occurrence， risk factors， clinical characteristics， and treatment measures. RESULTS The patient received approximately 150 mL of Iodixanol injection during the operation. Blurred vision occurred 2 hours after the procedure， which gradually progressed to no light perception in both eyes， accompanied by headache， fever and transient renal dysfunction. According to the criteria for causality assessment of adverse drug reactions， the association between Iodixanol injection and transient bilateral blindness was assessed as “probable”. Combined with analysis of the present case and relevant literature， the underlying mechanisms were speculated to be related to blood-brain barrier disruption， immune reactions and microembolism. Risk factors included underlying cerebrovascular disease， renal insufficiency， high dose of contrast medium and atopic constitution. This adverse reaction was characterized by an acute onset， complex symptoms and obvious reversibility. After symptomatic treatments such as dehydration， anti-allergy therapy， fluid infusion and diuresis， as well as neurotrophic therapy， the patient’s vision recovered completely on the 5th day after surgery， and renal function also returned to the preoperative levels. CONCLUSIONS Transient bilateral blindness induced by Iodixanol injection is rare but clinically severe. At present， its exact pathogenesis has not been fully elucidated， and it involves a variety of risk factors. Before clinical administration， it is necessary to comprehensively evaluate the patient’s underlying diseases， renal function and allergy history； control the dosage of contrast medium during the operation； and closely monitor the patient’s condition after surgery. Once adverse reactions occur， timely intervention should be taken to improve the prognosis.

ObjectiveTo explore the effect and mechanism of Taishan Panshi powder （TSPSP） on inhibiting oxidative stress injury in human chorionic trophoblast cells （HTR-8/SVneo）， and to uelucidate the underlying mechanism of TSPSP in the treatment of spontaneous abortion （SA）. MethodsGene differential analysis of SA was performed using the Gene Expression Omnibus （GEO） database and correlated with oxidative stress. Network pharmacology was employed to screen the active components of TSPSP， and a "Chinese medicine-component-target-disease" network was constructed to predict the mechanism of action of TSPSP. For in vitro validation experiments， HTR-8/SVneo cells were divided into blank group， model group， TSPSP-containing serum 2.5%， 5%， 10% groups， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group （ML385， 30 μmol·L^-1）. Except for the blank group， other groups were stimulated with 150 μmol·L^-1 H₂O₂ for 3 h to establish a cell oxidative stress injury model. After successful modeling， the blank group and model group were given 10% blank serum， each TSPSP-containing serum group was treated with the corresponding concentration of drug-containing serum， and the Nrf2 inhibitor group was additionally given 30 μmol·L^-1 ML385 on the basis of 10% TSPSP-containing serum. All groups of cells were continuously cultured under the above conditions for 24 h， and then samples were collected for subsequent detection. Cell viability in each group was detected by CCK-8 assay. Cell migration rate was detected by scratch test. The contents of malondialdehyde （MDA）， Fe²⁺， and Glutathione （GSH） were detected by enzyme-linked immunosorbent assay （ELISA）. Intracellular reactive oxygen species （ROS） level was detected by a fluorescent probe （DCF-DA）. The protein and mRNA expression levels of Kelch-like ECH-associated protein 1 （KEAP1）， Nrf2， and forkhead box protein O3 （FoxO3） in cells were detected by immunofluorescence （IF） and real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of KEAP1， Nrf2， FoxO3， Glutathione peroxidase 4 （GPX4）， and superoxide dismutase （SOD） in cells were detected by Western blot. ResultsThe GSE76862 and GSE22490 datasets were obtained from the GEO database. Differential gene analyses showed that the KEAP1， Nrf2， and FoxO3 genes were all associated with the disease. After matching with the oxidative stress pathway， nine significantly differential pathways were identified （P<0.05）， among which three contained the target genes Nrf2 and FoxO3. A total of 246 active ingredient targets of TSPSP and 2 804 SA-related targets were obtained through network pharmacology， and 154 potential action targets were obtained after taking the intersection. Topological analysis showed that targets such as KEAP1 and Nrf2 exhibited high degree values. GO and KEGG enrichment analyses indicated that the intersection targets were mainly involved in oxidative stress response， FOXO and MAPK signaling pathways， etc. In in vitro experiments， compared with the blank group， the cell viability in the model group was significantly decreased （P<0.01）. Compared with the model group， the cell viability in each TSPSP-containing serum group was significantly increased （P<0.01）. Compared with the 10% TSPSP-containing serum group， the cell viability in the ML385 group decreased to approximately 70% （P<0.01）. Compared with the blank group， the model group showed significantly increased contents of MDA， Fe²⁺， and ROS， decreased GSH expression （P<0.01）， significantly reduced cell migration rate （P<0.01）， and increased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.01）， while decreased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.01）. Compared with the model group， each TSPSP-containing serum group showed significantly decreased contents of MDA， Fe²⁺， and ROS， increased GSH expression （P<0.01）， significantly increased migration rate （P<0.01）， significantly decreased protein and mRNA expression levels of KEAP1 and FoxO3 （P<0.05， P<0.01）， and significantly increased protein and mRNA expression levels of Nrf2， GPX4， and SOD （P<0.05， P<0.01）. Compared with the 10% TSPSP-containing serum group， the ML385 group showed reversed trends in all indicators （P<0.05， P<0.01）. ConclusionTSPSP can inhibit H₂O₂-induced oxidative stress injury of trophoblast cells， and its mechanism of action may be related to the drug activating the KEAP1/Nrf2/FoxO3 signaling pathway.