ObjectiveTaking the cuproptosis/oxidative stress pathway as the entry point， this study investigated the effect and mechanism of Liangyi Paste on hepatic lipid deposition in naturally aged mice fed with a high-fat diet. MethodsAfter adaptive feeding， 80 ten-week-old male C57BL/6 mice were used. Thirty of them were randomly divided into three groups （10 mice per group）： The 12-month-old control group （12MCON）， the 15-month-old control group （15MCON）， and the 15-month-old group with a high-fat diet （15MHFD）. The 12MCON and 15MCON groups were continuously fed a standard diet， while the 15MHFD group started receiving a high-fat diet at 12 months of age. Tissue samples were collected at the corresponding time points for each group. The remaining 50 mice were randomly divided into five groups （10 mice per group）： the 20-month-old control group （20MCON）， the model group， and the low-， medium-， and high-dose Liangyi Paste groups （2.91 ， 5.82 ， 11.64 g·kg^-1·d^-1， respectively）. The 20MCON group was continuously fed a standard diet， while the other groups started receiving a high-fat diet at 15 months of age. At 18 months of age， the Liangyi Paste groups were administered the corresponding doses of Liangyi Paste by gavage， while the 20MCON and model groups were given an equal volume of saline by gavage. After 8 weeks of continuous gavage （when the mice reached 20 months of age）， tissue samples were collected. Hepatic TG levels were measured using assay kits； liver histology and lipid deposition were observed via hematoxylin-eosin （HE） and oil red O staining； reactive oxygen species （ROS） were detected by enzyme-linked immunosorbent assay （ELISA）； Cu²⁺， superoxide dismutase （SOD）， and malondialdehyde （MDA） levels were measured by colorimetry； mRNA and protein expression of genes related to cuproptosis and oxidative stress pathways were analyzed by Real-time polymerase chain reaction（Real-time PCR） and Wes automated protein expression system. ResultsCompared with 12MCON， the 15MCON group showed significantly increased hepatic TG， Cu²⁺， ROS， and MDA levels （P<0.01）， decreased SOD （P<0.01）， hepatocyte swelling， and disordered arrangement. The mRNA and protein levels of ferredoxin 1 （FDX1）， dihydrolipoamide S-acetyltransferase （DLAT）， heat shock protein 70 （HSP70）， dihydrolipoamide dehydrogenase （DLD）， pyruvate dehydrogenase E1 subunit-β （PDHB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and peroxisome proliferator-activated receptor γ （PPARγ） were significantly elevated （P<0.05， P<0.01）. Compared with 15MCON group， the 15MHFD and 20MCON groups exhibited further increases in TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， and aggravated hepatocyte swelling and disorder. There were increased lipid droplets with mild vacuolization in the 15MHFD group， and no significant lipid deposition was observed in the 20MCON group. FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and protein levels were significantly increased （P<0.05， P<0.01）. Compared with 20MCON group， the model group demonstrated markedly elevated TG， Cu²⁺， ROS， and MDA （P<0.01）， reduced SOD （P<0.01）， severe hepatic steatosis， and upregulated expression of FDX1， DLAT， HSP70， DLD， PDHB， Nrf2， and PPARγ mRNA and proteins （P<0.05， P<0.01）. All abnormalities were significantly reversed after Liangyi Paste treatment. ConclusionLiangyi paste can ameliorate hepatic lipid deposition in naturally aged mice with a high-fat diet by modulating the cuproptosis/oxidative stress pathway.

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.

Objective: This prospective study evaluated the feasibility of chemical exchange saturation transfer (CEST) MRI for assessing disease activity in thyroid-associated ophthalmopathy (TAO). Materials and Methods: A total of 88 patients with active TAO, 76 with inactive TAO, and 30 healthy controls were enrolled. CEST MRI-derived magnetization transfer ratio (MTR) and MTR asymmetry (MTRasym) at 1 ppm, 2 ppm, and 3.5 ppm were calculated. Clinical data, MTR, and MTRasym values for the extraocular muscles (one representative muscle per eye, yielding two measurements per participant) were compared among the groups. Spearman’s correlation was used to examine associations between imaging parameters and the clinical activity score (CAS) in patients with TAO. Logistic regression analysis was used to identify independent associations between imaging parameters and disease activity in patients with TAO (active vs. inactive). Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance for discriminating active from inactive TAO. Results: Patients with active TAO showed lower MTR values (P < 0.001) and higher MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) (all P < 0.001) compared with those with inactive TAO. MTR was negatively correlated with CAS (r = -0.402; P < 0.001), while MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) were positively correlated with CAS (r = 0.369, 0.350, and 0.349, respectively;all P < 0.001). MTR and MTRasym (1 ppm) were independently associated with TAO activity. The areas under the ROC curve (AUCs) for MTR and MTRasym (1 ppm) in discriminating active from inactive TAO were 0.772 and 0.730, respectively. Combining MTR with MTRasym (1 ppm) significantly improved diagnostic performance compared with either parameter alone, achieving an AUC of 0.805 (P = 0.029 and 0.001). Conclusion MTR and MTRasym (1 ppm) were independently associated with TAO activity. Their combination further enhanced diagnostic performance in distinguishing active from inactive TAO, suggesting their potential as quantitative imaging biomarkers to guide treatment in patients with TAO.

ObjectiveTo investigate the effects of Ditantang on metabolic dysfunction-associated fatty liver disease （MAFLD） in rats by focusing on the regulation of glycogen synthesis mediated by the uridine diphosphate glucose （UDPG）-site-1-protease （S1P）-sterol regulatory element-binding protein （SREBP） axis. MethodsMAFLD was modeled in SD rats by feeding a high-fat diet for 12 weeks. Rats were randomized into a control group， a model group， low-， medium-， and high-dose （2.68， 5.36， and 10.72 g·kg^-1·d^-1， respectively） Ditantang groups， and a positive control （Yishanfu， 0.18 g·kg^-1·d^-1） group. Starting from week 9 of modeling， each treatment group received corresponding drug interventions via gavage. After the experiment， the serum levels of total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） were measured. The levels of TG， non-esterified fatty acids （NEFA）， glycogen， glucose-6-phosphate （G6P）， glucose-1-phosphate （G1P）， and UDPG in the liver tissue samples were measured by biochemical assay kits. Liver pathological morphology and lipid/glycogen deposition were observed via hematoxylin-eosin （HE） staining， oil red O staining， and Periodic acid-Schiff （PAS） staining. Immunofluorescence assay was conducted to detect the expression and localization of phosphoglucomutase-1 （Pgm1） and UDP-glucose pyrophosphorylase 2 （Ugp2） in the rat liver. Real-time PCR and Western blot were employed to quantify mRNA and protein levels， respectively， of key glycogen synthesis enzymes （Pgm1 and Ugp2）， key lipogenesis-related transcription factor SREBP and its target genes ［acetyl-CoA carboxylase （ACC）， fatty acid synthetase （FASN）， and stearoyl-CoA desaturase （SCD1）］， as well as S1P. ResultsCompared with the control group， the model group exhibited elevated levels of TC， TG， LDL-C in the serum and TG and NEFA in the liver， decreased serum HDL-C level （P<0.01）， reduced hepatic levels of G1P， G6P， UDPG， and glycogen （P<0.01）， appearance of fat vacuoles of varying sizes and abundant red lipid droplets， with prominent lipid deposition and reduced areas of deep glycogen staining in the liver tissue， upregulated mRNA and protein levels of SREBP1， S1P， ACC， FASN， and SCD1 （P<0.01）， and downregulated mRNA and protein levels of Pgm1 and Ugp2 （P<0.01）. Compared with the model group， all doses of Ditantang reduced the levels of TC and TG in the serum and TG and NEFA in the liver， while elevating the serum HDL-C level. Additionally， medium- and high-dose Ditantang reducted the LDL-C level （P<0.05）. Ditantang at all doses increased the hepatic levels of G1P， G6P， UDPG， and glycogen， alleviated hepatic steatosis and lipid deposition， enhanced glycogen storage， downregulated the mRNA and protein levels of SREBP1， S1P， ACC， FASN， and SCD1 （P<0.05）， while upregulating the expression of Pgm1 and Ugp2 （P<0.01）. Immunofluorescence analysis revealed decreased fluorescence intensity of S1P and enhanced fluorescence intensity of Ugp2 （P<0.01）. ConclusionDitantang can regulate glycogen synthesis through the UDPG-S1P-SREBP axis to prevent and treat MAFLD.

Sepsis remains a challenge in critical care worldwide，with intestinal microbiome dysbiosis implicated in its onset，progression，and organ dysfunction. Germ-free （GF） and human microbiota-colonized animals，by eliminating confounding from resident microbiota and combining induction methods such as CLP/LPS/live-bacterial challenge with fecal microbiota transplantation （FMT） and mono- or combined colonization，enable causal tests and dissection of microbiota-host interactions and drug mechanisms. This review summarizes the application of GF and related models in sepsis research. At the immune level，TLR-related signaling and pathogen community-induced suppression of IRF3-dependent defense affect innate immunity and pathogen clearance. At the barrier level，reprogramming of tight junction proteins and increased permeability drive gut-derived amplification. At the metabolic level，short-chain fatty acids and bile acids function as metabolic valves influencing GPR/HDAC signaling. At the epigenetic level，EZH2 and histone deacetylation emerge as druggable targets. We further synthesize anti-sepsis evidence for traditional Chinese medicine （TCM），mainly from conventional animals and clinical studies，discussing how formulae （e.g.，Xuebijing，Shenfu，and Huanglian Jiedu Tang） and active constituents （e.g.，berberine，luteolin，ginsenosides，and resveratrol） may act through microbiota-related and direct host pathways，with FMT/metabolite replenishment enabling further causal testing. Finally，we propose a closed-loop GF-humanized-clinical stratification paradigm for integrated evaluation of microecology，epigenetics，immunity，and organ outcomes，providing a translational path for precision prevention and treatment based on TCM and the microbiome.

Objective To conduct a unique and pioneering molecular epidemiological investigation of a case of Eurasian avian-like H1N1 swine influenza identified in Yunnan Province in 2022(the fourth such case in the province)and to understand its genetic characteristics so as to reveal its potential impact on human health.Methods Real-time fluorescent quantitative PCR detection technology was used for the nucleic acid testing of the case's pharyngeal swab samples,close contacts,and environmental samples from the living area.Positive samples were subjected to virus isolation using MDCK cells.Cell cultures were authenticated using erythrocyte agglutination assay with guinea pig blood and real-time fluorescence quantitative RT-PCR.Whole genome sequencing was performed using the Illumina MiseqNext-generation sequencing platform,and a phylogenetic tree was constructed using MEGA 7.0 software to analyze the genetic molecular characteristics.Results The first G5 genotype Eurasian avian-like H1N1 swine influenza virus in Yunnan Province was successfully isolated,and the whole genome sequence of the virus was obtained.This virus possessed the molecular characteristics associated with increased adaptability,virulence,or transmissibility in mammals and had a nucleotide consistency of 99.2％～99.7％with a porcine strain isolated in Jiangsu province.These findings underscored the potential threat this virus poses to human health.Conclusion The study underscores the importance of further monitoring swine influenza in preventing new influenza virus subtypes that can infect humans.

Abstract： ObjectiveThe study aims to explore the effects and regulatory roles of glucose transporter 1 （GLUT1） on the proliferation， migration， adhesion， and angiogenesis of human umbilical vein endothelial cells （HUVECs） under ischemia-hypoxic conditions. MethodsIn vitro experiments were conducted to subject HUVECs to an ischemia-hypoxic-mimicking environment （1% O₂， 5% CO₂， 94% N₂）. The biological characteristics of HUVECs under normoxic and ischemia-hypoxic conditions were compared by assessing cell viability， proliferation capacity， and examining the expression changes of GLUT1， HIF-1α， and VEGFA proteins under ischemia-hypoxia using Western blot technology. Further， GLUT1 was overexpressed using plasmid transfection and the proliferation， migration， adhesion， and angiogenic capabilities of HUVECs were evaluated through scratch assays， cell adhesion assays， and tube formation assays. Mitochondrial morphological changes were observed by transmission electron microscopy，and oxygen consumption rate （OCR） was detected by Seahorse metabolic analyzer to evaluate mitochondrial function. ResultsCompared with normoxic conditions， the ischemia-hypoxic environment significantly inhibited the proliferation， cell viability， migration， and adhesion capabilities of HUVECs and impaired their angiogenic potential. The expression levels of GLUT1， HIF-1α and VEGFA proteins were also markedly reduced. However， when GLUT1 expression was upregulated， the migration， adhesion， and angiogenic capabilities of HUVECs were significantly improved， and the protein expression levels of HIF-1α， VEGFA and VEGFR were increased. Transmission electron microscopy revealed that ischemic-hypoxia leads to mitochondrial swelling and matrix damage， while GLUT1 overexpression significantly alleviates mitochondrial morphology abnormalities. OCR results suggest that GLUT1 overexpression may enhance oxidative phosphorylation of endothelial cells in ischemic-hypoxic environments to improve energy metabolism. These results suggest that GLUT1 may influence the function and angiogenic potential of HUVECs by regulating glucose metabolism and energy supply. ConclusionsThis study reveals the significant regulatory role of GLUT1 in the function of HUVECs under ischemia-hypoxic conditions， potentially through modulating cellular energy metabolism and signal transduction pathways， thereby affecting cell proliferation， migration， adhesion， and angiogenesis. These findings provide a new perspective on the role of GLUT1 in cardiovascular diseases and may offer potential targets for the development of new therapeutic strategies.

Objective To establish an expert consensus on the management of low anterior resection syndrome(LARS)in patients with rectal cancer post-surgery(hereinafter referred to as"consensus"),aiming to standardize the related work of medical institutions in the context of post-operative LARS.Methods A comprehensive search of domestic and international databases was conducted to collect guidelines,expert consensuses,systematic reviews,evidence summaries,and original research related to post-operative LARS in rectal cancer published from the establishment of the databases until August 2024.Based on clinical practice experience,a preliminary draft of the"consensus"was formed.From September to November 2024,22 experts were invited to participate in 2 rounds of expert consultations,during which the draft content was revised and improved,and the final version of the"consensus"was determined through expert validation.Results A total of 22 experts responded,achieving a response rate of 100％.The effective recovery rate of the consultation questionnaires in both rounds was 100％,with an expert authority coefficient of 0.89,a judgment coefficient of 0.97,and a familiarity degree of 0.84.The Kendall harmony coefficients for the 2 rounds of expert consultations were 0.122 and 0.136,respectively(P＜0.001).This consensus covers 5 main aspects:definition,assessment,prevention,treatment,and follow-up management of LARS.Conclusion This consensus demonstrates a high level of scientific rigor and can provide a strong reference for clinical nursing personnel in the specialized care of rectal cancer patients with post-operative LARS.

Objective:To explore the value of serum soluble E-cadherin (sEC) and cyclooxygenase-2 (COX-2) levels in predicting postoperative recurrence and metastasis of breast cancer.Methods:198 female breast cancer patients who underwent surgical treatment in Huai’an Hospital Affiliated to Xuzhou Medical University (Huai’an Second People’s Hospital) From Mar. 2023 to Mar. 2025 were selected and followed up for 3 years. The recurrence and metastasis were counted. Patients with recurrence and metastasis were included in the poor prognosis group, and patients without recurrence and metastasis were included in the good prognosis group. The general data, preoperative serum sEC and COX-2 levels were compared between the two groups. The influencing factors of recurrence and metastasis of breast cancer after operation were analyzed. The dose-response relationship and predictive value of serum sEC and COX-2 levels with recurrence and metastasis were analyzed. Logistic regression equation (LR) model 1 was constructed according to conventional influencing factors, and LR model 2 was constructed according to conventional influencing factors combined with serum sEC and COX-2. The predictive efficacy and accuracy of the two models were analyzed by receiver operating characteristic curve (ROC) and calibration curve. According to the ratio of 7∶3, another 85 female breast cancer patients who underwent surgical treatment in Huai’an Hospital Affiliated to Xuzhou Medical University (Huai’an Second People’s Hospital) from May. 2023 to May. 2025 were selected for external validation (validation set) .Results:Among 198 breast cancer patients who underwent postoperative follow-up for 3 years, 3 cases were lost to follow-up, and the recurrence and metastasis rate among the 195 patients who completed the 3-year postoperative follow-up was 26.15% (51/195). In the good prognosis group, the proportion of TNM stage III was 20.14%, the proportion of lymph node metastasis was 11.81%, the preoperative serum carbohydrate antigen 153 (CA153) level was (54.19±10.84) U/mL, the carbohydrate antigen 125 (CA125) level was (46.03±10.27) U/mL, the sEC level was (1987.65±191.37) ng/mL, and the COX-2 level was (17.85±5.21) ng/mL. In the poor prognosis group, the proportion of TNM stage III was 45.10%, the proportion of lymph node metastasis was 35.29%, the preoperative serum CA153 level was (65.87±12.23) U/mL, the CA125 level was (57.76±11.51) U/mL, the sEC level was (2 295.37±261.48) ng/mL, and the COX-2 level was (10.42±3.16) ng/mL. Compared with the good prognosis group, they were increased ( t/χ 2=12.00, 14.11, 6.39, 6.79, 8.92, 12.00, P<0.05). Multivariate Logistic regression analysis showed that TNM stage III ( OR=2.078, 95%CI =1.569-2.751, P<0.05), lymph node metastasis ( OR=2.435, 95 %CI=1.843-3.216, P<0.05), serum CA153 ( OR= 1.180,95 %CI=1.026-1.357, P<0.05), CA125 ( OR=1.206,95 %CI=1.033-1.408, P<0.05), sEC ( OR=1.011,95 %CI= 1.007-1.015, P<0.05), COX-2 ( OR=1.378,95 %CI=1.128-1.683, P<0.05) were independent risk factors for postoperative recurrence and metastasis of breast cancer. Restricted cubic spline (RCS) analysis showed that serum sEC and COX-2 levels were positively correlated with the risk of recurrence and metastasis of breast cancer ( P<0.05). ROC analysis showed that serum sEC (AUC=0.762,95 %CI=0.696-0.820, P<0.05) and COX-2 (AUC=0.757,95 %CI=0.691-0.815, P<0.05) could be used as biological indicators to predict postoperative recurrence and metastasis of breast cancer. The AUC of LR model 1 in predicting postoperative recurrence and metastasis of breast cancer was 0.862 (95 %CI=0.805-0.907, P<0.05). The AUC of LR model 2 in predicting postoperative recurrence and metastasis of breast cancer was 0.965 (95 %CI= 0.891-0.983, P<0.05), which was significantly larger than that of LR model 1 ( Z=2.015, P<0.05). The calibration curve analysis showed that the calibration degree of LR model 1 in predicting postoperative recurrence and metastasis of breast cancer was good, and the prediction results were in good agreement with the actual observation results. The calibration degree of LR model 2 was high, and the prediction results were in good agreement with the actual observation results. The results of external validation showed that the sensitivity of LR model 2 in predicting postoperative recurrence and metastasis of breast cancer was 82.61%, the specificity was 93.55%, the accuracy was 90.59%, and the Kappa value was 0.762 (95 %CI: 0.549-0.974) . Conclusions:Preoperative serum sEC and COX-2 levels are independent risk factors for postoperative recurrence and metastasis of breast cancer. They can be used as biological indicators to predict postoperative recurrence and metastasis of breast cancer. Combined with conventional indicators, they can significantly improve the predictive efficacy.