The research of damp-heat syndrome in modern TCM mainly focuses on inflammatory response, water metabolism, lipid metabolism, hemorheology, intestinal flora and so on. Modern omics techniques such as metabolomics and genomics provide a new perspective for the exploration of the micro-mechanism of damp-heat syndrome. The study found that the abnormal expression of aquaporin is closely related to the formation of "dampness" in damp-heat syndrome, and the release of inflammatory factors reflects the pathological characteristics of "heat". Damp-heat syndrome is often accompanied by dyslipidemia, hemorheological changes and intestinal flora imbalance, showing characteristic changes in urine, blood and saliva metabolomics, and there are differences in gene expression between damp-heat constitution and gentleness constitution. In the future, the pertinence and systematicness of research should be strengthened, the relationship between indicators should be deeply explored, build a biomarker system should be built, the immune-metabolic regulation mechanism should be explored, the multi-target mechanism of heat-clearing and dampness-removing Chinese materia medica should be clarified to further improve the damp-heat syndrome system, and provide theoretical support for clinical treatment.

Objective : To investigate the effects of cinnamaldehyde(CA) on the growth, metastasis and apoptosis of human endometriosis(EMs) cells and to explore whether the mechanism is related to ribosomal protein S7(RPS7) expression. Methods : Endometriosis cells were divided into control group, CA group, sh-NC group, CA+sh-RPS7 group. Effects of CA on cell growth in human endometriotic cells were determined using Cell Counting Kit-8(CCK-8) and colony formation assay. Effects of CA on cell metastasis were performed by motility assay and Transwell assay. Effects of CA on cell apoptosis were evaluated by Hoechst 33258 staining and flow cytometry. Meanwhile, the levels of PCNA, E-cadherin, Vimentin, Bax and Bcl-2 were evaluated using Western blot in human endometriotic cells with treatment CA. The expression of RPS7 was detected by qRT-PCR and Western blot assay. The RPS7 overexpression of human endometriotic cells was established by cell transfection. CA-mediated effects on cell proliferation and apoptosis were determined by CCK-8 assay and flow cytometry in human endometriotic cells with RPS7 overexpression. Results : CA repressed cell growth as well as down-regulated PCNA. The half inhibitory concentration(IC50) value was 53.60 μmol/L after 24 h treatment, and colony formation rate was 25.32%. Additionally, CA inhibited metastasis which was associated with downregulated Vimentin and upregulated E-cadherin. The relative migration rates were 35% and 29% as well as invasion rate was 40%. Further, CA induced apoptosis by cell cycle G2/M phase arrest and cell apoptosis rate was 25.1%, which related to the up-regulation of of Bax and the down-regulation of Bcl-2. CA inhibited the expression of RPS7 and overexpression of RPS7 promoted cell proliferation and suppressed apoptosis in CA-mediated cells. Conclusion CA inhibits cell growth, metastasis, and induces cell apoptosis by downregulating the expression of RPS7.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Hepatocellular carcinoma is the most common type of primary liver cancer and is currently the third leading cause of cancer-related deaths worldwide. Radiomics refers to the high-throughput extraction of quantitative features from medical images and their in-depth mining and analysis. As an emerging technology，it has been widely applied in tumor diagnosis，pathological grading，vascular invasion，treatment evaluation and prognosis prediction，providing a brand-new perspective for personalized medicine. Ultrasound radiomics，as its branch，has currently become an important tool to assist in improving the clinical management of hepatocellular carcinoma and plays an indispensable and significant role in its diagnosis and prediction.

Abstract CCAAT/enhancer binding protein β(C/EBPβ) is a transcription factor that plays a vital role in diverse biological processes,including cell proliferation,cell apoptosis,inflammation,and immune regulation.It is expressed in female reproductive organs such as the ovary and uterus,and it serves as a critical regulator of both physiological functions and pathological conditions.This review comprehensively summarizes the significant contributions of C/EBPβ to physiological processes such as follicular development and decidualization,as well as its involvements and mechanisms in reproductive disorders including polycystic ovary syndrome,endometriosis,and ovarian tumors,aiming to provide a potential research target in the field of reproduction.

Hepatocellular carcinoma is the most common type of primary liver cancer and is currently the third leading cause of cancer-related deaths worldwide. Radiomics refers to the high-throughput extraction of quantitative features from medical images and their in-depth mining and analysis. As an emerging technology，it has been widely applied in tumor diagnosis，pathological grading，vascular invasion，treatment evaluation and prognosis prediction，providing a brand-new perspective for personalized medicine. Ultrasound radiomics，as its branch，has currently become an important tool to assist in improving the clinical management of hepatocellular carcinoma and plays an indispensable and significant role in its diagnosis and prediction.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Hyperlipidaemic rats were randomly divided into a model group,a total flavonoids from echinops latifolius tausch(TFET)high,medium and low dose group,and a positive control group;meanwhile,healthy rats were selected as a blank control group.The rats in each group were dosed with the corresponding concentrations of TFET,simvastatin and distilled water for 45 consecutive days,and were tested for relevant lipid biochemical indexes,antioxidant indexes and PPARα path-way-related gene expression.The results showed that high-dose TFET could reduce the concentra-tions of TC,TG and LDL-C and increase the concentration of HDL-C very significantly;medium-dose TFET could reduce the concentrations of TC and TG very significantly and reduce the con-centration of LDL-C significantly;and low-dose TFET could reduce the concentrations of TC and LDL-C significantly.High,medium and low doses of TFET can extremely significantly reduce in-crease SOD activity;high and medium doses of TFET can extremely significantly reduce MDA content;high dose of TFET can extremely significantly increase T-AOC activity.The high dose of TFET could extremely significantly increase the expression of PPARα,CYP7A1 and CPT-1 genes in rat liver;the medium dose of TFET could extremely significantly increase the expression of CYP7A1 and CPT-1 genes,and could significantly increase the expression of PPARα gene;the low dose of TFET could extremely significantly increase the expression of CYP7A1 gene,and signifi-cantly increase the CPT-1 gene expression.The results suggest that TFET has antioxidant and lip-id-lowering effects on hyperlipidaemic rats,and its mechanism may be related to the activation of PPARα and its downstream related genes to promote fatty acid β-oxidation.

Objective:To prepare dual-targeted lipid ultrasound microbubbles loaded with ANM33 (HA-PANBs) and evaluate its feasibility in targeting foam cells by stages and achieving precise intracellular drug release in vitro. Methods:The dual-targeteded lipid ultrasound microbubbles were designed with nanobubbles (NBs) as the microbubble core, hyaluronic acid (HA) as the first-stage targeting ligand for damaged endothelial cells, aptamer PM1 as the second-stage targeting moiety for foam cells, and ANM33 as the therapeutic factor. Simultaneously with the characterization of the lipid bubbles, the stability and in vitro contrast-enhanced ultrasound imaging capability were detected. Then a co-culture model of damaged human umbilical vein endothelial cells (HUVEC) and macrophages (RAW264.7, MΦ) was established, combined with flow cytometry, oil red O staining and small animal in vivo imaging to evaluate the ability of HA-PANBs in targeting foam cells precisely and releasing ANM33. Results:The HA-PANBs exhibited regular morphology and good structural stability, with a particle size of (1 357.53±140.20)nm and a surface potential of (-5.61±0.73)mV. HA, PM1 and ANM33 were effectively connected. In the damaged HUVEC/MΦ co-culture system, the HA-PANBs group demonstrated the best targeting effect on foam cells, with an effective uptake of (80.65±2.12)%, which was 56.74% higher than that of the NBs group. Oil red O staining revealed that the cholesterol efflux capacity of foam cells in the HA-PANBs group was significantly better than that in the NBs group, the results were statistically different [(629.80±21.99) a.u.vs (1 071.00±55.49)a.u., P<0.05]. Conclusions:The dual-targeted lipid ultrasound microbubbles (HA-PANBs) can precisely target foam cells and significantly enhance their cholesterol efflux, providing a new strategy for the early non-invasive diagnosis and treatment of atherosclerosis.

ObjectiveTo study the medication rules of Professor. WANG Xingkuan and inherit his academic experience in the treatment of chest stuffiness and pain with the aid of the Traditional Chinese Medicine Inheritance Computing Platform V3.0 （TCMICS V3.0）. MethodThe original medical records of patients with angina pectoris in coronary heart disease （CHD） diagnosed and treated by Prof. WANG in the outpatient department of Hunan University of Chinese Medicine from 2017 to 2020 were collected and entered into the TCMICS V3.0. The rules of prescriptions and drugs were analyzed by the software. ResultA total of 1 044 prescriptions of Prof. WANG for the treatment of chest stuffiness and pain were collected. Most of the drugs were sweet and bitter in flavor and mainly acted on the lung meridian， followed by heart， spleen， liver， stomach， and kidney meridians. Among the prescriptions， Shengmaisan was the most commonly used classic prescription， and Xintongling No. Ⅲ was the top experienced prescription. High-frequency drugs mainly included Ophiopogonis Radix， Pinelliae Rhizoma， Salviae Miltiorrhizae Radix et Rhizoma， Trichosanthis Pericarpium， Coptidis Rhizoma， Schisandrae Chinensis Fructus， and Bupleuri Radix. The common doses of drugs were 3， 5， 10， and 15 g. The analysis of formulation rules revealed 129 combinations of common drugs， 58 combinations with confidence > 0.99， and the core drugs of common syndromes. Six core drug combinations were obtained by drug clustering. ConclusionProfessor WANG treats chest stuffiness and pain based on syndrome differentiation following the principles of benefiting Qi， nourishing Yin， eliminating phlegm， resolving stasis， soothing liver， and promoting bile secretion， reflecting his academic idea of "regulation of multiple organs and comprehensive treatment". The core prescriptions can be used for reference by clinical practitioners， but further clinical and experimental studies are still needed to verify their efficacy.