The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

ObjectiveTo investigate the efficacy of Xingpi capsules （XPC） in treating diarrhea-predominant irritable bowel syndrome （IBS-D） with spleen deficiency and elucidate its potential molecular mechanisms. MethodsA rat model of IBS-D with spleen deficiency was established by administering senna leaf in combination with restrained stress and swimming fatigue for 14 d. Ten specific pathogen free （SPF）-grade healthy rats were used as the normal control group. After successful modeling， SPF-grade rats were randomly divided into a model group， a pinaverium bromide group （1.5 mg·kg^-1）， and low- and high-dose XPC groups （0.135 and 0.54 g·kg^-1）， with 10 rats in each group. Rats in the normal control group and the model group were given distilled water by gavage， while the remaining groups were administered corresponding drug solutions by gavage once a day for 14 consecutive days. The rat body weights and fecal condition were observed every day， and the Bristol score was recorded. Enzyme-linked immunosorbent assay （ELISA） was used to determine the levels of 5-hydroxytryptamine （5-HT） in serum and colon tissue. Transmission electron microscopy was used to observe the microvilli and tight junctions in the colon. The integrity of the colonic barrier， intestinal motility， and expression of related pathway proteins were evaluated by hematoxylin-eosin （HE） staining， immunohistochemistry， and Western blot. ResultsCompared with those in the normal control group， rats in the model group showed a significantly decreased body weight and increased diarrhea rate， diarrhea grade， and Bristol score （P<0.01）. HE staining revealed incomplete colonic mucosa in the model group， with evident congestion and edema observed. Electron microscopy results indicated decreased density and integrity of the colonic barrier， shedding and disappearance of microvilli， and significant widening of tight junctions. The expression levels of colonic tight junction proteins Occludin and Claudin-5 were downregulated （P<0.01）， and the levels of 5-HT in serum and colon tissue were elevated （P<0.01）. The small intestine propulsion rate significantly increased （P<0.01）， and the expression of contractile proteins Ras homolog family member A （RhoA） and Rho-associated coiled-coil containing protein kinase 2 （ROCK2） in colon and phosphorylation of myosin light chain （MLC₂₀） were upregulated （P<0.01）. Compared with the model group， the treatment groups showed alleviated diarrhea， diarrhea-associated symptoms， and pathological manifestations of colon tissue to varying degrees. Specifically， high-dose XPC exhibited effectively relieved diarrhea， promoted recovery of colonic mucosal structure， significantly reduced congestion and edema， upregulated expression of Occludin and Claudin-5 （P<0.01）， decreased levels of 5-HT in serum and colon tissue （P<0.05，P<0.01）， significantly slowed small intestine propulsion rate （P<0.01）， and significantly downregulated expression of contractile proteins RhoA and ROCK2 in colon and phosphorylation of MLC₂₀ （P<0.05，P<0.01）. ConclusionXPC effectively alleviates symptoms of spleen deficiency and diarrhea and regulates the secretion of brain-gut peptide. The characteristics of XPC are mainly manifested in alleviating IBS-D with spleen deficiency from the aspects of protecting intestinal mucosa and inhibiting smooth muscle contraction， and the mechanism is closely related to the regulation of the 5-HT-RhoA/ROCK2 pathway expression.

Objective:To investigate the influencing factors of diarrhea during early enteral nutrition(EEN)therapy in severe patients with temporary ileostomy.Method:A total of 154 patients with temporary ileostomy who received EEN in the Department of General Surgery,Jinling Hospital from November 2019 to November 2023 were included in this study.All patients were divided into two groups:the diarrhea group(n=43)and the non-diarrhea group(n=111).The clinical data of the patients were retrospectively collected and analyzed,and univariate analysis was performed to compare the differences between groups.The indicators with significant differences were subjected to multivariate logistic regression analysis to determine the influencing factors of diarrhea during EEN therapy in severe patients with temporary ileostomy.Result:Among the 154 patients,43 developed diarrhea during EEN therapy,with an incidence of 27.9%.Multivariate logistic regression analysis showed that enteral nutrition(EN)infusion rate(OR=6.342,P=0.001,95%CI:2.055～19.572),antibiotics type(OR=8.342,P=0.013,95%CI:1.577～44.119),mechanical ventilation(OR=7.011,P=0.001,95%CI:2.272～21.629),EN formulation type(OR=6.497,P=0.001,95%CI:2.177～19.392),and diabetes(OR=3.321,P=0.036,95%CI:1.080～10.215)were closely associated with EN-related diarrhea in severe patients with temporary ileostomy.Conclusion:There was a high incidence of diarrhea in severe patients with temporary ileostomy who received EEN.EN infusion rate,antibiotics use,mechanical ventilation,EN formulation type and diabetes were the influencing factors for presence of EEN-related diarrhea in the patients.Our data could provide a reference for preventing EEN-related diarrhea in severe patients with temporary ileostomy after surgery.

The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

This case report summarizes the nursing experience in ensuring medication safety during intranasal esketamine spray treatment for a patient with treatment-resistant depression.Key nursing interventions included:pre-treatment assessment of concomitant medication risks,preparation of staff,environment,and medications;during treatment,strict adherence to administration protocols with simultaneous respiratory function monitoring and nasal tolerability assessment to minimize respiratory depression risk;post-treatment blood pressure surveillance combined with longitudinal symptom tracking and dynamic suicide risk evaluation for self-harm prevention;reinforcement of adverse reaction prevention and management.After completing the full 4-week treatment course(8 sessions),the patient exhibited the improved depressive symptoms and the reduced suicidal ideation,and the patient was successfully discharged.

Objective To observe the value of ultrashort echo time(UTE)-MRI for evaluating pulmonary nodules.Methods Totally 58 patients with pulmonary nodules detected with CT were prospectively enrolled,and UTE-MRI was performed.Taken CT as the referent standard,the value of UTE-MRI for evaluating the diameter,composition,lung imaging reporting and data system(Lung-RADS)type and radiographic signs of pulmonary nodules was analyzed.Results CT detected 66 pulmonary nodules with a diameter of(11.60±5.20)mm in 58 patients,including 29 solid nodules,24 partially solid nodules and 13 ground-glass nodules.There were 14 Lung-RADS type 2,12 type 3,12 type 4A,11 type 4B and 17 type 4X lung nodules,among which 12 were found with lobulated sign,and 14 were found with spiculated sign.UTE-MRI detected 63 nodules with a diameter of(11.34±4.82)mm,including 25 solid nodules,28 partially solid nodules and 10 ground-glass nodules.There were 12 Lung-RADS type 2,12 type 3,12 type 4A,11 type 4B and 16 type 4X lung nodules.Among which 10 nodules were found with lobulated sign and 11 were found with spiculated sign.No significant difference of the measured diameters of lung nodules was found between UTE-MRI and CT(P=0.803),and the results of UTE-MRI and CT had good correlation and consistency(rs=0.953,ICC=0.946),which also had good consistency for assessing nodule composition and Lung-RADS type(Kappa=0.871,0.960).Meanwhile,no significant difference of the display rates of lobulated nor spiculated signs was noticed between UTE-MRI and CT(both P＞0.05).Conclusion UTE-MRI was helpful for evaluating pulmonary nodules,with efficacy comparable to CT.

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 investigate the effect of resveratrol on airway remodeling induced by ovalbumin(OVA)in asthmatic young mice based on the sphingosine-1-phosphate(S1P)/transforming growth factor-β1(TGF-β1)pathway.Methods Young mice were randomly assigned into normal group,model group,S1P group,resveratrol group,and resveratrol+S1P group,with 12 mice in each group.A mouse model of asthma induced by OVA was established.The Wright Giemsa staining was applied to detect the number of inflammatory cells in bronchoalveolar lavage fluid(BALF).ELISA was applied to detect the levels of interleukin-4(IL),IL-5,and IL-13 in BALF.The colorimetric method was applied to detect the activities of SOD and CAT and the content of MDA in lung tissue.HE staining was applied to observe pathological changes in lung tissue,and the wall area of bronchial tube(Wat)and perimeter of basement membrane(Pbm)were analyzed.Masson staining was applied to observe the area of collagen fibers in lung tissue.Immunohistochemistry was applied to detect the expression of α-SMA in lung tissue.Western blot was applied to detect the expression of E-cadherin,N-cadherin,Snail,SP1,and TGF-β1 proteins in lung tissue.Results Compared with the normal group,the number of eosinophils,lymphocytes,neutrophils,levels of IL-4,IL-5,and IL-13 in BALF,lung tissue MDA content,Wat/Pm ratio,collagen fiber area,α-SMA positive expression,the protein levels of N-cadherin,Snail,SP1,TGF-β1 increased in the model group,while the activities of SOD,CAT,and the protein level of E-cadherin in lung tissue decreased(P＜0.05).Compared to the model group,the number of eosinophils,lymphocytes,neutrophils,levels of IL-4,IL-5,and IL-13 in BALF,lung tissue MDA content,Wat/Pm ratio,collagen fiber area,α-SMA positive expression,the protein levels of N-cadherin,Snail,SP1,TGF-β1 decreased in the resveratrol group,while the activities of SOD,CAT,and the protein level of E-cadherin in lung tissue increased(P＜0.05).The S1P recombinant protein could weaken the inhibitory effect of resveratrol on airway remodeling in asthmatic young mice.Conclusion Resveratrol can inhibit oxidative stress,airway inflammation,and epithelial mesenchymal transition,thereby suppressing airway remodeling in asthmatic young mice.Its effect is related to the inhibition of the S1P/TGF-β1 signaling pathway.

Objective To assess the effectiveness of the Gasdermin D C-terminal fragment(GSDMD-CT)as a novel plasma biomarker for the clinical diagnosis of sepsis.Methods Between July 2021 and November 2024,245 patients from Tangshan Gongren Hospital were enrolled in this study.In accordance with the diagnostic criteria for sepsis and the systemic inflammatory response syndrome(SIRS),patient samples were classified into the sepsis group and the SIRS group.Meanwhile,healthy individuals were selected as the healthy control(HC)group.Sepsis patients were further categorized into the Gram-positive bacterial group,the Gram-negative bacterial group,and the fungal group based on the type of pathogen infection.The levels of GSDMD-CT,C-reactive protein(CRP),and procalcitonin(PCT)were measured in all subjects.Nonparametric tests were employed to compare the differences in various indices among different groups.The diagnostic value of GSDMD-CT in sepsis was evalu-ated by constructing the receiver operating characteristic(ROC)curve.Spearman's correlation analysis was used to examine the relationships among GSDMD-CT,CRP,and PCT.Results The plasma GSDMD-CT levels in the sepsis group 23.02(16.71,33.01)pg/mL and in the SIRS group 16.52(11.26,22.22)pg/mL were significantly higher than those in the healthy control group 7.02(4.42,11.43)pg/mL(U=-10.175,-7.890,P<0.001).Moreover,the plasma GSDMD-CT levels in the sepsis group were significantly higher than those in the SIRS group(U=-2.941,P<0.05).In the Gram-positive bacterial group,the Gram-negative bacterial group,and the fungal group,the GSDMD-CT levels were 23.01(17.16,27.51)pg/mL,23.41(16.78,35.50)pg/mL,and 16.29(14.53,56.27)pg/mL,respectively.When compared with the healthy control group,the GSDMD-CT levels in these three groups were all significantly higher(P<0.05).However,there were no significant differences in GSDMD-CT levels among these three groups(P>0.05).The area under the curve(AUC)of plasma GSDMD-CT for diagnosing sepsis was 0.881(95%confidence interval:0.833～0.929),with a Youden index(YI)of 0.695,a sensitivity of 85.0%,and a specificity of 84.5%.Spearman correlation analysis indicated a weak correlation between GSDMD-CT and C-reactive protein(CRP)(r=0.32,P<0.001)and a positive correlation between GSDMD-CT and procalci-tonin(PCT)(r=0.65,P<0.001).Conclusion GSDMD-CT exhibits significant clinical value in the diagnosis of sepsis and holds great potential as a biomarker in the diagnostic process of sepsis.