Diarrhea-predominant irritable bowel syndrome （IBS-D） is a common digestive system disease with high prevalence and recurrence rates for years， high treatment costs， and serious impacts on patients' quality of life and economic burden. Therefore， it is important to explore new and safe treatment methods. The pathogenesis of IBS-D is complex， in which the gut-brain axis is a key factor. The gut-brain axis， a bidirectional signaling pathway connecting the gastrointestinal tract and the central nervous system， regulates gastrointestinal motility， secretion， and immune responses， playing a key role in the occurrence and development of IBS-D. Up to now， antidiarrheal agents， probiotics， and neurotransmitter modulators are the main methods for the clinical treatment of IBS-D. Although they can partially curb the progression of this disease， the therapeutic effects remain to be improved. Studies have confirmed that traditional Chinese medicine （TCM） has significant advantages in the treatment of IBS-D since it can regulate the gut-brain axis via multiple pathways and targets to improve the gastrointestinal motility and strengthen immune defenses. However， there is a lack of systematic reviews on the regulation of the gut-brain axis by TCM in the treatment of IBS-D. Based on the review of IBS-D-related articles published in recent years， this paper systematically summarized the relationship between the gut-brain axis and IBS-D and the role of TCM in the treatment， providing new ideas for the treatment of IBS-D.

ObjectiveTo compare the hepatic bile acid profile between a mouse model of metabolic-associated steatohepatitis （MASH） induced by a high-fat， high-sugar， and high-cholesterol diet combined with intraperitoneal injection of 10% carbon tetrachloride （CCl₄） and MASH cases in clinical practice， and to investigate the feasibility of this model in studying drug interventions on bile acid profile in MASH. MethodsA total of 30 male C57BL/6J mice were randomly divided into control group and model group， with 15 mice in each group. The mice in the control group were given normal diet and drinking water and weekly injections of olive oil， and those in the model group were given a high-fat， high-sugar， and high-cholesterol diet， high-sugar drinking water， and weekly injections of CCl₄+olive oil. At the end of weeks 8， 12， and 16， 5 mice were selected from each group to collect samples. Behavioral assessments were performed， and body weight and liver wet weight were measured； liver pathology and lipid deposition were evaluated by HE staining， SAF scoring， oil Red O staining， the semi-quantitative analysis of stained area， the serum levels of alanine aminotransferase （ALT） and aspartate aminotransferase （AST）， and liver triglyceride （TG） content； Sirius Red staining was performed for liver tissue to assess liver fibrosis； ultra-performance liquid chromatography-tandem mass spectrometry and targeted metabolomics were used to measure the hepatic bile acid profile， including cholic acid （CA）， glycocholic acid （GCA）， chenodeoxycholic acid （CDCA）， glycochenodeoxycholic acid （GCDCA）， ursodeoxycholic acid （UDCA）， tauroursodeoxycholic acid （TUDCA）， hyodeoxycholic acid （HDCA）， and glycodeoxycholic acid （GDCA）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups. ResultsCompared with the control group at the same time point， the model group had disheveled and dull fur， reduced activity， and relatively slow reactions at weeks 8， 12， and 16， as well as significant increases in liver wet weight （P<0.05）， the serum level of ALT （P<0.05）， the content of TG in the liver （P<0.05）， and SAF score （P<0.05）. As for the differentially expressed bile acids in liver tissue， compared with the control group at week 8， the model group had significantly higher levels of CA and CDCA and significantly lower levels of UDCA， TUDCA， HDCA， and GDCA （all P<0.05）； compared with the control group at week 12， the model group had significantly higher levels of CA， GCA， CDCA， and GCDCA and significantly lower levels of UDCA and HDCA （all P<0.05）； compared with the control group at week 16， the model group had significantly higher levels of CA， GCA， CDCA， GCDCA， and TUDCA and significantly lower levels of UDCA， HDCA， and GDCA （all P<0.05）. As for the differentially expressed bile acids in the bile acid pool of liver tissue， compared with the control group at week 8， the model group had significantly higher levels of CA and CDCA and significantly lower levels of UDCA， TUDCA， GDCA， and HDCA （all P<0.05）； compared with the control group at weeks 12 and 16， the model group had significantly higher levels of GCA and GCDCA and significantly lower levels of UDCA， GDCA， and HDCA （all P<0.05）. ConclusionThere are significant changes in the hepatic bile acid profile in a mouse model of MASH induced by a high-fat， high-sugar， and high-cholesterol diet combined with CCl₄， which are similar to the changes in bile acids in MASH cases in clinical practice， suggesting that this model can be used to explore the interventional effect of drugs on the bile acid profile in MASH.

Objective To investigate the feasibility and efficacy of mindfulness-based stress reduction (MBSR) in the management of chronic pain among military personnel stationed in plateau area of China. Methods Military personnel who had been stationed at an altitude ranging from 3 300 to 3 500 meters for over four months and suffered from chronic pain were selected as the study subjects by the judgment sampling method. A total of 51 individuals were assigned to the control group, and 53 individuals were assigned to the MBSR group using the random number table method. Individuals of the control group received conventional pain management, while the MBSR group received an additional eight-week MBSR training alongside conventional management. Pain, mindfulness levels, mood state, and psychological resilience of individuals were assessed before and 12 weeks after the intervention using the Brief Pain Inventory (BPI), the Five Facet Mindfulness Questionnaire-Short Form, the Profile of Mood States, and the Connor-Davidson Resilience Scale. Results After the intervention, the BPI scores, and the scores of the pain intensity and pain impact dimensions of individuals in the MBSR group were lower than those in the control group (all P<0.01). The reductions in these three scores were greater in the MBSR group than those in the control group (all P<0.01). Meanwhile, individuals in the MBSR group showed superior improvements in the mindfulness level score, the total mood disturbance, and the psychological resilience score compared with the control group (all P<0.05). The multiple linear regression analysis results showed that the pre-intervention BPI score, post-intervention changes in mindfulness levels, headache and lower back pain were influencing factors for the improvement of the BPI score in the MBSR group individuals (all P<0.05). Conclusion Conducting MBSR in military units in plateau areas is an effective approach for alleviating chronic pain. The pain relief effect is more pronounced in individuals with higher initial pain scores, a greater increase in mindfulness scores after training, and those with headache and low back pain.

AIM: To analyze the changes in binocular visual function before and after small incision lenticule extraction(SMILE)in patients with different degrees of myopia.METHODS:A prospective non-randomized controlled study was conducted. A total of 94 patients(188 eyes)who visited the refractive outpatient department of the ophthalmology department of the General Hospital of the PLA from June 2022 to June 2023 and voluntarily chose SMILE were consecutively included. They were grouped according to the degree of myopia, including 24 cases(48 eyes)in the low myopia group(-3.00 D

ObjectiveTo investigate the correlation with cognitive function based on a new Kayser-Fleischer ring （K-F ring） grading method in Wilson’s disease （WD）. MethodsA total of 136 WD patients who were hospitalized in Encephalopathy Center， The First Affiliated Hospital of Anhui University of Chinese Medicine， from April 2022 to October 2023 were enrolled. All subjects underwent slit lamp examination， and the grade of K-F ring was determined according to the shape and extent of copper deposition in the cornea， whether it formed a ring or not， and whether there was a sunflower-like cloudy change in the lens. The patients were instructed to complete UWDRS， MoCA， and MMSE scale assessments， and these indicators were compared between patients with different K-F ring grades. An analysis of variance was used for comparison of normally distributed continuous data between multiple groups， and the least significant difference t-test （homogeneity of variance） or the Dunnett’s T3 test （heterogeneity of variance） was used for further multiple comparisons； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups； the chi-square test was used for comparison of categorical data between groups. The Spearman correlation analysis was used to investigate the correlation of K-F ring grade with UWDRS， MoCA， and MMSE scores. ResultsAmong the 136 patients with WD， there were 40 patients with grade 4 K-F ring， accounting for the highest proportion of 29.4%， and 14 patients with grade 0 K-F ring， accounting for the lowest proportion of 10.3%， and there were 22 patients with grade 1 K-F ring （16.2%）， 19 with grade 2 K-F ring （14%）， 25 with grade 3 K-F ring （18.4%）， and 16 with grade 5 K-F ring （11.7%）. According to the different grades of K-F ring， there was a significant increase in UWDRS score （F=22.61， P<0.001） and significant reductions in MoCA and MMSE scores （F=16.40 and 13.80， both P<0.001）. The Spearman correlation analysis showed that K-F ring grade was positively correlated with UWDRS score （r=0.67， P<0.01） and was negatively correlated with MoCA and MMSE scores in WD patients （r=-0.59 and -0.57， both P<0.01）. ConclusionThe new K-F ring grading method can determine disease severity in WD patients to a certain degree and partially reflect cognitive function and activities of daily living in such patients.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

The syndrome differentiation of Yin and Yang has the function of controlling the other six principles in the eight principles syndrome differentiation，which is a higher level or general induction of the disease. In the clinical process of traditional Chinese medicine，syndrome differentiation of Yin and Yang runs through the whole process of disease diagnosis and treatment. For Parkinson's disease，syndrome differentiation of Yin and Yang is particularly important. Different symptoms，the transformation of pathogenesis during the development of the disease and the treatment of traditional Chinese and western medicine all reflect the characteristics of Yin and Yang opposition restriction，mutual root and mutual use，and the transformation of ebb and flow. This article discusses the background，application and value of Yin-Yang syndrome differentiation from three aspects：the origin and application of yin-yang syndrome differentiation，the basis of Parkinson's disease syndrome differentiation，and the status and role of Yin-Yang syndrome differentiation in Parkinson's disease. It is of great significance to guide the diagnosis and treatment of Parkinson's disease with "Yin-Yang as the key point".

Objective To explore the public attitude towards kidney xenotransplantation in China by constructing and validating the prediction model based on xenotransplantation questionnaire. Methods A convenient sampling survey was conducted among the public in China with the platform of Wenjuanxing to analyze public acceptance of kidney xenotransplantation and influencing factors. Using random distribution method, all included questionnaires (n=2 280) were divided into the training and validation sets according to a ratio of 7:3. A prediction model was constructed and validated. Results A total of 2 280 questionnaires were included. The public acceptance rate of xenotransplantation was 71.3%. Multivariate analysis showed that gender, marital status, resident area, medical insurance coverage, religious belief, vegetarianism, awareness of kidney xenotransplantation and whether on the waiting list for kidney transplantation were the independent influencing factors for public acceptance of kidney xenotransplantation (all P<0.05). The area under the curve (AUC) of receiver operating characteristic (ROC) of the prediction model in the training set was 0.773, and 0.785 in the validation set. The calibration curves in the training and validation sets indicated that the prediction models yielded good prediction value. Decision curve analysis (DCA) suggested that the prediction efficiency of the model was high. Conclusions In China, public acceptance of kidney xenotransplantation is relatively high, whereas it remains to be significantly enhanced. The prediction model based on questionnaire survey has favorable prediction efficiency, which provides reference for subsequent research.

Hydrogen peroxide (H₂O₂) and nitric oxide (NO) has a short half-life, low bioavailability, poor tumor targeting and systemic adverse reactions in the physiological environment. In this study, phacoemulsification and nano-precipitation were used to synthesize didecyl dimethyl ammonium bromide (DDAB)/polylactic acid nanoparticles (PLA), then L-arginine (L-Arg) and glucose oxidase (GOx)-loaded nanoparticles (GADP) were prepared, and the in vitro antitumor activity was investigated．The particle size, potential, embedding rate and the ability to produce H₂O₂/NO of the nanoparticles were investigated. Meanwhile, in vitro cell cytotoxicity against human hepatoma cells (HepG2) was evaluated．The results showed that the prepared L-Arg-DDAB/PLA (ADP) nanoparticles were spherical particles. And the particle size and zeta potential were (225.7 ± 6.33) nm and (+23.5 ± 0.12) mV, respectively. The adsorption rate of GOx was 87.23% ± 0.02%. The drug loading of L-Arg was 15.6% ± 0.22%. The pH value of glucose solution and the amount of H₂O₂ showed that GADP had good catalytic activity. In vitro cytotoxicity experiments showed that blank nanoparticles were nontoxic, while the drug-loaded nanoparticles presented enhanced antitumor effect on HepG2 cells. And can inhibit tumor cell migration. The low dose nano-scale NO delivery system GADP can effectively inhibit the migration of tumor cells and kill tumor cells, thus producing therapeutic benefits.

Quercetin can mediate the activation of mitogen-activated protein kinase(MAPK)signaling pathways to prevent osteoporosis(OP).This paper comprehensively discusses the interrelationship between MAPK and osteoporosis-related cells based on the latest domestic and international research.Additionally,it elucidates the research progress of quercetin in mediating the MAPK signaling pathway for OP prevention.The aim is to provide an effective foundation for the clinical prevention and treatment of OP and the in-depth development of quercetin.