Hepatocellular carcinoma (HCC) poses a significant hazard to public health in China because of its high incidence, high mortality, and high rate of advanced stages. Early detection and treatment of HCC by screening for high-risk populations is instrumental for enhancing survival rates among patients with HCC in China. Liver resection, local ablation, interventional therapy, radiotherapy, and drug therapy are all effective treatments for patients with HCC, and appropriate treatments can be selected based on different tumor stages. However, the condition of patients with HCC in China is complicated, and no single specialty offers the complete spectrum of care. The disease-centered multidisciplinary team for HCC is a crucial method to prolong the survival of patients with HCC and optimize their quality of life. Recent advancements in different disciplines have brought new opportunities in HCC treatments and altered multidisciplinary management approaches. Meanwhile, new challenges have emerged, and many problems have yet to be addressed.

ObjectiveTo investigate whether co-activated mesenchymal stem cells（MSCs） exert therapeutic effects against schistosomiasis by modulating macrophage polarization. MethodsTwenty adult male Balb/c mice were randomly divided into four groups： uninfected， infected， MSC-treated， and MSC^TLR4+IFN-γ-treated groups. The Schistosoma japonicum infection model was established via abdominal patch method with cercariae. At week 5 post-infection， praziquantel was administered orally for antiparasitic treatment. At week 6， mice received either MSCs treatments （with or without pre-activation） or no treatment. Body weight changes were monitored weekly. Hepatic pathological alterations were evaluated via HE and Masson staining. RT-qPCR was used to assess α-SMA and collagen （Col-I， Col-Ⅲ） mRNA levels to quantify fibrosis. The mRNA levels of hepatic inflammatory cytokines and matrix metalloproteinases（MMP） were analyzed to explore fibrotic mechanisms. The expressions of i-Nos and Arg-1 in liver tissues were detected by RT-qPCR， and the ratio of M1 or M2 macrophages was detected by immunofluorescence staining， aiming to analyze the correlation between MSCs treatment and macrophage polarization. An in vitro co-culture system validated direct MSC-macrophage interactions. ResultsCompared with the infected group， the MSC^TLR4+IFN-γ group exhibited increased body weight gain （P< 0.01）， reduced hepatic granulomatous lesion area （P< 0.001）， and decreased α-SMA， Col-I， and Col-Ⅲ mRNA levels （P< 0.01）. Additionally， the MSC^TLR4+IFN-γ group showed reduced TNF-α and IL-1β expression （P< 0.05）， as well as elevated MMP2， Mmp9， and MMP13 levels （P< 0.01）. The MSC^TLR4+IFN-γ group showed higher expression of M2 marker Arg-1 mRNA compared with the infection group （P < 0.001） ， while the expression of M1 marker i-Nos decreased （P< 0.05）. Immunofluorescence confirmed a lower i-Nos+ cell ratio （P< 0.05） and higher F4/80⁺CD206⁺ cell ratio （P< 0.000 1） in the MSC^TLR4+IFN-γ group compared with the infection group. In vitro co-culture experiments further demonstrated that MSC^TLR4+IFN-γ promoted Arg-1 expression， suppressed pro-inflammatory cytokine i-Nos and TNF-α levels， consistent with ELISA results. ConclusionsThis study reveals that TLR4 and IFN-γ co-activated MSCs alleviate Schistosoma japonicum-induced hepatic fibrosis， potentially through modulating macrophage polarization toward the M2 phenotype. This mechanism may suppress inflammation and enhance extracellular matrix degradation， providing a therapeutic strategy for schistosomiasis-associated liver fibrosis.

ObjectiveTo explore whether fluoroethylnormemantine （FENM）， an NMDA receptor antagonist， could improve compulsive-like behaviors and to investigate its underlying mechanisms in the RU24969-induced obsessive-compulsive disorder （OCD） mouse model. MethodsThirty-two mice were randomly assigned to four groups： Saline （n=8）， RU24969 （n=8）， RU+FENM （n=8）， and FENM （n=8）. Mice received FENM or an equivalent volume of saline for pre-treatment， followed by RU24969 or saline for model induction 30 minutes later. Behavioral tests were performed 1 hour after modeling， and serum samples were collected to measure the level of brain-derived neurotrophic factor （BDNF）. Evans Blue dye was intravenously injected to assess dye content in brain tissue， thereby evaluating potential blood-brain barrier damage. ResultsFENM treatment significantly improved repetitive stereotyped circling behavior （F=39.850， P＜0.001） and alleviated persistent motor activity （F=50.200， P＜0.001） in RU24969 model mice. Additionally， FENM treatment significantly increased serum BDNF level in RU24969-induced OCD mice （F=18.930， P＜0.001）. ConclusionsFENM ， an NMDA receptor antagonist， may alleviate compulsive behaviors in OCD mice by modulating BDNF levels ， thereby exerting anti-compulsive effects. Neither the RU24969 model nor FENM treatment significantly affectes blood-brain barrier integrity.

ObjectiveTo investigate the impact of preoperative frailty on the prognosis of patients with pancreatic cancer who underwent pancreaticoduodenectomy. MethodsA retrospective analysis was conducted on the clinical data of 435 pancreatic cancer patients who underwent pancreaticoduodenectomy at Sun Yat-sen Memorial Hospital of Sun Yat-sen University. Preoperative frailty was assessed using the FRAIL questionnaire. Binary logistics regression analysis was employed to identify factors influencing frailty， and Cox regression analysis was used to evaluate the effect of frailty on survival. According to the demographic characteristics， subgroup analyses were performed on the effect of frailty on prognosis of patients with pancreatic cancer with pancreaticoduodenectomy. ResultsAmong the 435 patients enrolled， 119 （27.4%） exhibited frailty， while 316 （72.6%） did not. Significant differences were observed between the two groups in various clinical parameters， including age， body mass index， American Society of Anesthesiologists （ASA） score， postoperative red blood cell transfusion， postoperative abdominal abscess， serum levels of glycoantigens 199， glycoantigens 125， and alpha fetoprotein， leukocyte count， neutrophil， high density lipoprotein （HDL） level， and pain intensity （P＜0.05）. Advanced age and an ASA score of Ⅲ were identified as risk factors for frailty， whereas HDL level was a protective factor. Non-frail patients had better postoperative survival times than frail patients. HDL was determined to be an independent protective factor for prognosis， while LDL was an independent risk factor. ConclusionsThis study demonstrates that preoperative frailty is a significant predictor of poor prognosis in pancreatic cancer patients who underwent pancreaticoduodenectomy.These findings suggest that preoperative frailty assessment and targeted interventions to improve nutritional and metabolic status could potentially enhance postoperative survival and quality of life in pancreatic cancer patients.

ObjectiveTo investigate the perceived experience and acceptance of intrapartum ultrasound （IPUS） as a novel method for labor progress assessment among pregnant women. MethodsFrom February 2023 to December 2024， a total of 180 pregnant women admitted to the Labor Ward of Lingnan Hospital， the Third Affiliated Hospital of Sun Yat-sen University， who were planned for vaginal trial of labor ， were accessed for labor progress using IPUS and vaginal examination （VE） after the onset of labor and prior to the initiation n of labor analgesia. A self-designed questionnaire was used to investigate the women's perceived experiences with both examination methods and their acceptance of IPUS. The pain intensity associated with the examinations was evaluated using the visual analogue pain scale （VAS）. Differences in the women's experiences and pain intensity between the two labor progress assessment methods were compared. ResultsThe acceptance rate of IPUS was 96.67% （174/180）， with the remaining 6 cases undecided. Over 60% of the pregnant women reported IPUS assessment as comfortable and none of them felt discomfort， whereas 32.8% felt uncomfortable with VE （χ²=196.02， P＜0.001）. Nearly two-thirds of the pregnant women believed that VE would cause psychological distress， while none reported such effect with IPUS （χ²=261.52， P＜0.001）. Approximately 77.78% （140/180） of the pregnant women believed that IPUS could reduce their fear of vaginal delivery and enhance their confidence if it replaced VE. The VAS score for IPUS ［0 （0， 2）］ was significantly lower than that for VE ［4 （4， 6）］ （Z=-14.62， P＜0.001）. Further stratified analysis showed that over 90% （164/180） of the pregnant women found IPUS painless， with no moderate or severe pain reported， compared to 43.33% （78/180） experienced moderate or severe pain with VE （P＜0.001）. ConclusionAs a novel approach for labor progress assessment， IPUS not only alleviates the pain and discomfort associated with traditional VE and reduces the fear of childbirth but also enhances women's confidence in delivery， thereby achieving a high level of acceptance among parturient women in China.

ObjectiveTo investigate the expression of scaffold protein PDLIM5 in multiple sclerosis （MS） patients and the mouse microglial cell line BV2， and to explore its effects on the phagocytosis of microglial cells. MethodsPeripheral blood samples were collected from 24 MS patients and 6 healthy volunteers as controls. The expression levels of PDLIM5 were detected by real-time quantitative PCR. A neuroinflammation cell model was established by treating the mouse microglial cell line BV2 with lipopolysaccharide （LPS， 1 µg/mL）. The expression levels of PDLIM5 were measured by Western Blot. The effect of PDLIM5 expression on phagocytosis was analyzed by transfecting BV2 cells with PDLIM5 shRNA plasmids or PDLIM5 overexpression plasmids. ResultsReal-time quantitative PCR results showed that compared with the healthy control group， the expression level of PDLIM5 from the MS patients was significantly increased in monocytes ［2.78 （0.70-6.86） vs. 0.54 （0.39-1.51）， P=0.036］ and lymphocytes ［1.62 （0.90-2.26） vs. 0.11 （0.05-0.21）， P<0.001］. Western Blot results indicated that PDLIM5 expression was significantly upregulated in BV2 cells following LPS stimulation （P<0.05）. Plasmid transfection experiments demonstrated that knockdown of PDLIM5 inhibited the phagocytic capacity of BV2 cells as measured by trypan blue uptake （P<0.05）， while overexpression of PDLIM5 enhanced the phagocytic ability of BV2 cells （P<0.001）. ConclusionUnder neuroinflammatory conditions， PDLIM5 expression is elevated， and this upregulation promotes the phagocytosis of microglial cell.

ObjectiveTo explore the value of the Model for End-Stage Liver Disease （MELD） 3.0 in predicting survival outcomes for patients with alcoholic cirrhosis and to establish an effective mortality prediction model. MethodsClinical data of 788 hospitalized patients who were first diagnosed with alcoholic cirrhosis at the Third Affiliated Hospital of Sun Yat-sen University between January 1， 2011 and December 31， 2019 were analyzed. Patients were followed up until December 31， 2023 and divided into survival and mortality groups based on the survival outcomes at 30 days， 90 days， 1 year， and 3 years after admission. The prognostic values of the MELD 3.0， MELD， MELD-Sodium （MELD-Na） for survival in alcoholic cirrhosis patients were assessed and compared by using the receiver operating characteristic （ROC） curve and the area under the curve （AUC）. Additional risk factors associated with mortality in alcoholic cirrhosis patients were identified， and a novel mortality prediction model based on MELD 3.0 was developed. ResultsThe AUC of the MELD 3.0 score in predicting 30-day， 90-day， 1-year， and 3-year survival was 0.823， 0.730， 0.686， and 0.658， respectively， which were superior to those of the MELD-Na （0.802， 0.708， 0.666， and 0.645， respectively） and MELD scores （0.698， 0.668， 0.654， and 0.633， respectively） （all P < 0.05）. MELD 3.0 demonstrated better performance at 30 and 90 days （AVC=0.823，0.730； both P < 0.05） than at 1 year and 3 years （AVC=0.686，0.658； both P < 0.05）. Binary logistic regression combined with LASSO regression indicated that the independent risk factors associated with the 1-year outcome included MELD 3.0， baseline ascites and hepatocellular carcinoma. A survival prediction model was then established with AUC of 0.748， sensitivity of 0.695， and specificity of 0.775. ConclusionsMELD 3.0 has a superior predictive ability for 30-day， 90-day， 1-year， and 3-year survival in patients with alcoholic cirrhosis than MELD-Na and MELD. The prediction model incorporating MELD 3.0， ascites and hepatocellular carcinoma improves the prediction of 1-year survival outcomes for alcoholic cirrhosis patients.

OBJECTIVE To explore the effects of CD20 coding gene （MS4A1） polymorphism on the blood concentration and efficacy of rituximab in patients with non-Hodgkin’s lymphoma. METHODS A prospective observational study was conducted on 160 newly diagnosed non-Hodgkin’s lymphoma patients who received the R-CHOP regimen at the Sun Yat Sen University Cancer Center from January 2016 to December 2020， with a minimum follow-up period of approximately 5 years. The blood concentration of rituximab was detected by enzyme-linked immunosorbent assay. MS4A1 tagSNPs were selected by Haploview4.2 software， including rs1051461， rs17155034， rs4939364， and rs10501385. The genotype of MS4A1 was detected by Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Univariate linear regression analysis was employed to examine the correlation between various factors（demographic， clinical， and genotypic variables） in patients and the steady-state trough concentration of rituximab during the first course of treatment， followed by multivariate linear regression analysis. Kaplan-Meier curves were drawn to evaluate progression-free survival （PFS） and overall survival （OS）. Using MS4A1 genotype and tumor stage as independent variables， Cox regression model was employed to evaluate the factors influencing patient prognosis. RESULTS The blood concentration of rituximab in MS4A1 rs10501385 CC carriers was 15.20 μg/mL，which was significantly lower than 21.95 μg/mL in AA+AC carriers （P＜0.05）. The multivariate linear regression model incorporating tumor stage and MS4A1 rs10501385 polymorphism explained 7.3% of the interindividual variability in rituximab concentrations. Compared with MS4A1 rs1051461 CC carriers， CT+TT carriers had significantly prolonged PFS and OS （P＜0.05）. The Cox proportional hazards regression model showed that the MS4A1 rs1051461 CC genotype （HR＝4.406， 95%CI：1.743-11.137， P＜0.05） and tumor Ⅲ&Ⅳ （HR＝3.233， 95%CI： 1.413-7.399， P＜0.05） were independent risk factors for PFS. CONCLUSIONS The tumor staging and MS4A1 rs10501385 polymorphism are key influencing factors for blood concentration of rituximab， and MS4A1 rs1051461 polymorphism significantly affects PFS in non-Hodgkin’s lymphoma patients.

ObjectiveTo evaluate the clinical efficacy and safety of Huaban Jiedu Formulation （化斑解毒方， HJF） in treating psoriasis vulgaris with blood-heat syndrome. MethodsA randomized， double-blind， placebo-controlled study was conducted with 60 patients diagnosed with psoriasis vulgaris of blood-heat syndrome. Patients were randomly assigned to either a treatment group or a control group， with 30 cases in each. The treatment group received HJF granules orally， one dose a day， combined with topical Qingshi Zhiyang Ointment （青石止痒软膏）， while the control group received placebo granules， one dose a day， combined with the same topical ointment. Both groups were topically treated twice daily of 28 days treatment cours. Psoriasis area and severity index （PASI）， visual analogue scale for pruritus （VAS）， traditional Chinese medicine （TCM） syndrome scores， dermatology life quality index （DLQI）， and psoriasis life stress inventory （PLSI） were assessed before treatment and on day 14 and day 28. Response rates for PASI 50 （≥50% reduction） and PASI 75 （≥75% reduction）， as well as overall clinical efficacy， were compared between groups. Serum levels of interleukin-6 （IL-6） and interleukin-17 （IL-17） were measured before and after 28 days of treatment. Adverse reactions during treatment were recorded. ResultsAfter 28 days of treatment， both groups showed significant reductions in PASI total score， lesion area score， erythema， scaling， and infiltration scores， pruritus VAS score， TCM syndrome score， DLQI， PLSI， and serum IL-6 and IL-17 levels （P＜0.05）. Compared to the control group， the treatment group had significantly greater improvements in PASI total score and erythema score， TCM syndrome score， serum IL-6 and IL-17 levels， and PASI 50 response rate after 28 days （P＜0.05）. Between-group comparisons of score differences before and after 28-day treatment revealed that the treatment group showed significantly better improvements in PASI total， lesion area score， erythema score， TCM syndrome score， DLQI， PLSI， and inflammatory markers （P＜0.05 or P＜0.01）. The total effective rate on day 14 and day 28 was 40.00% （12/30） and 83.33% （25/30） in the treatment group， versus 6.90% （2/29） and 41.38% （12/29） in the control group， respectively. The clinical efficacy in the treatment group was significantly superior to that in the control group （P＜0.05）. Mild gastric discomfort occurred in 3 patients in the treatment group and 1 in the control group. ConclusionHJF can effectively improve skin lesions and TCM symptoms relieve pruritus， enhance quality of life， and reduce inflammatory markers IL-6 and IL-17， in patients with blood-heat syndrome of psoriasis vulgaris， with a good safety profile.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.