ObjectiveTo observe the inhibitory effect of the Weiliuan mixture （WLAHJ） on the subcutaneous xenograft tumor of MKN-74 gastric cancer cells， and explore the potential anti-gastric cancer mechanism of WLAHJ by using transcriptomic sequencing technology to reveal related genes and pathways. Methods30 Balb/c nude mice were randomly divided into model， low-， medium-， and high-dose（15，30，45 g·kg^-1） WLAHJ and 5-FU （0.025 g·kg^-1） groups to build a subcutaneous xenograft tumor model with MKN-74 human gastric cancer cells. After modeling，each group was continuously treated with the corresponding drugs for 28 days. During the treatment period， the body weight and tumor size of the mice were observed and recorded every 2 days. At the end of the treatment， the mice were sacrificed， and required samples were collected to calculate the tumor inhibition rate of WLAHJ on the subcutaneous xenograft tumor. High-throughput transcriptomic sequencing （RNA-seq） technology was used to analyze the differentially expressed genes in the subcutaneous tumor tissues of the model group and the medium-dose WLAHJ group， thus exploring the potential mechanism of WLAHJ in gastric cancer intervention. Immunofluorescence experiments were conducted to detect the protein expression levels of glutathione peroxidase 4 （GPX4）， solute carrier family 7 member 11 （SLC7A11）， transferrin receptor protein-1 （TFR-1）， and acyl-CoA synthetase long-chain family member 4 （ACSL4） in subcutaneous xenograft tumors of each group. Cell counting kit-8（CCK-8） and colony formation assays were used to detect the viability and anti-proliferative ability of human gastric cancer AGS and MKN-74 cells at different concentrations of WLAHJ. Kits were used to detect the levels of Fe²⁺， reactive oxygen species （ROS）， malondialdehyde （MDA）， and superoxide dismutase （SOD） activity in cells. Western blot was used to detect the expression levels of GPX4， SLC7A11， TRF-1， ACSL4， spermidine/spermine N1-acetyltransferase 1 （SAT1）， arachidonic acid 15-lipoxygenase （ALOX15）， and key proteins in the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway. ResultsThe mechanism of WLAHJ in gastric cancer intervention may be related to ferroptosis and the PI3K/Akt /mTOR signaling pathway. The growth of subcutaneous xenograft tumors in nude mice of the WLAHJ and 5-FU groups（P<0.05，P<0.01）， GPX4， and SLC7A11 dropped significantly（P<0.01）， while TFR-1， ACSL4， SAT1， and ALOX15（P<0.05，P<0.01）increased significantly compared with those in the model group. The levels of ROS， Fe²⁺， and MDA increased in the WLAHJ and 5-FU groups and the proliferation of gastric cancer cells， SOD activity， the ratios of phosphorybation （p）-mTOR/mTOR， p-PI3K/PI3K， and p-Akt/Akt protein expressions（P<0.05，P<0.01）decreased compared with those in the blank group. ConclusionThe mechanism of WLAHJ in treating gastric cancer may be related to the regulation of the PI3K/ Akt /mTOR signaling pathway to intervene in ferroptosis.

ObjectiveTo observe the clinical efficacy and safety of Modified Guomin Decoction （加味过敏煎， MGD） in patients with mild to moderate atopic dermatitis （AD） of the traditional Chinese medicine （TCM） pattern of heart fire and spleen deficiency， and to explore its possible mechanisms. MethodsIn this randomized， double-blind， placebo-controlled study， 72 patients with mild to moderate AD and the TCM pattern of heart fire and spleen deficiency were randomly divided into a treatment group and a control group， with 36 cases in each group. The treatment group received oral MGD granules combined with topical vitamin E emulsion， while the control group received oral placebo granules combined with topical vitamin E treatment. Both groups were treated twice daily for 4 weeks. Clinical efficacy， TCM syndrome scores， Visual Analogue Scale （VAS） for pruritus， Dermatology Life Quality Index （DLQI） scores， Scoring Atopic Dermatitis （SCORAD） and serum biomarkers， including interleukin-33 （IL-33）， interleukin-1β （IL-1β）， immunoglobulin E （IgE）， and tumor necrosis factor-α （TNF-α） were compared before and after treatment. Safety indexes was also assessed. ResultsThe total clinical effective rates were 77.78% （28/36） in the treatment group and 38.89% （14/36） in the control group， with cure rates of 19.44% （7/36） and 2.78% （1/36）， respectively. The treatment group showed significantly better clinical outcomes compared to the control group （P＜0.05）. The treatment group exhibited significant reductions in total TCM syndrome scores， including erythema， edema， papules， scaling， lichenification， pruritus， irritability， insomnia， abdominal distension， and fatigue scores， as well as reductions in VAS， DLQI， SCORAD， and serum IgE and IL-33 levels （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had significantly better improvements in all indicators except for insomnia （P＜0.05）. No adverse events occurred in either group. ConclusionMGD is effective and safe in treating mild to moderate AD patients with heart fire and spleen deficiency pattern. It significantly alleviates pruritus， improves TCM syndromes and quality of life， and enhances clinical efficacy， possibly through modulation of immune responses.

Objective To analyze the reasons for the failure of subject screening in clinical trials of antineoplastic drugs and the impact of natriuretic criteria on the entry of subjects into clinical trials,to explore the strategies to improve the suc-cessful enrolment of screened subjects,and to provide reference bases for research institutes and sponsors in the formulation of na-triuretic criteria.Methods This study selected data from 40 drug clinical trials conducted at the Drug Clinical Trial Research Center of the Cancer Hospital of the Chinese Academy of Medical Sciences from January 1,2016,to June 30,2022.It statistically described the collected data on the frequency and percentage composition of screening failures among participants and the inclu-sion and exclusion criteria in the protocols.Results A total of 425 subjects were screened out of 40 clinical trial programmers covering 8 tumor types,with the majority being＜65 years of age(333,78.4％),of which the most important reasons included vol-untary withdrawal(71,16.7％),tumor metastasis(52,12.2％),failure to recover from treatment of pre-existing disease(38,8.9％),failure of bone marrow function(19,4.5％),and non-compliant liver function(15,3.5％).Among the nadir indicators,the age of the subjects(100％),ECOG score(97.5％),bone marrow function(ANC:95.0％,PLT:97.5％,HB:97.5％),liver function(T-BiL:95.0％,ALT:87.5％,AST:95.0％),renal function(CR:80.0％),and viral screening(HIV:80.0％,HBV:70.0％,HCV:62.5％)were relatively stringent.Conclusion The main reasons for subject screening failure in clinical trials in oncology in our hospital are voluntary withdrawal,brain metastasis,and failure of their biochemical test standards,which are close-ly related to the setting of clinical trial nadir criteria.Therefore,an in-depth understanding of subjects'characteristics,accurate set-ting of appropriate nadir criteria,continuous improvement of trial design,and strengthening of communication with subjects to pro-vide more relevant information will help to improve the screening success rate of clinical trials.

Objective To explore an epileptic seizure prediction method for patients with refractory epilepsy to improve the classification and prediction efficiency of epileptic electroencephalogram(EEG)signals.Methods The study used the long-term EEG database of patients with intractable epilepsy from Children's Hospital Boston(CHB-MIT).The EEG features of epileptic seizures and preictal periods were extracted from multiple dimensions such as EEG synchronization,complexity,and energy distribution,and then these features were input into the artificial neural network model for classification and identification,thereby achieving accurate prediction of epilepsy.The performance were optimized by adjusting the model parameters,and a comparative evaluation was conducted with existing deep learning models.Results The model proposed in this study showed an accuracy rate of 99.29％,a precision of 91.44％,a sensitivity of 96.46％,and a specificity of 99.46％.Compared with current epilepsy seizure prediction studies based on machine learning or deep learning frameworks,the model in this study improved its classification prediction capabilities and demonstrated higher prediction accuracy.Conclusion An effective prediction of epileptic seizures was achieved by manually extracting epileptic EEG features and constructing an artificial neural network model.The model demonstrated high accuracy and stability,providing reliable technique to support clinical treatment and prevention of epilepsy.

Objective To investigate the application of transvaginal ultrasound(TVS),multimo-dal magnetic resonance imaging(MRI)and 18F-fluorodeoxyglucose positron emission computed tomo-graphy/computed tomography(18F-FDG PET/CT)in diagnosis of endometrial carcinoma(EC).Methods A total of 157 patients with endometrial cancer in our hospital were selected.The results of EC staging by multimodal MRI and transvaginal ultrasound and positive 18F-FDG PET/CT were recor-ded,and their results were compared with pathological results.Results The results of TVS showed 87 cases in stage Ⅰ,6 cases were misdiagnosed and 12 cases were missed diagnosis.In 55 cases of stage Ⅱ,12 cases were misdiagnosed and 8 cases were missed.In 15 cases of stage Ⅲ,2 cases were misdiagnosed without missed diagnosis.The results of multimodal MRI showed that 86 cases were mis-diagnosed in stage Ⅰ,3 cases were misdiagnosed and 10 cases were missed.In 58 cases of stage Ⅱ,10 cases were misdiagnosed and 3 cases missed diagnosis.There were 13 cases of stage Ⅲ with no missed diagnosis or misdiagnosis.The results of 18F-FDG PET/CT were positive in 145 cases and missed in 12 cases.Based on the golden standard of postoperative pathological staging,the accuracy of TVS di-agnosis of EC patients in stage Ⅰ was 87.10％(81/93),stage Ⅱ was 84.31％(43/51),and stage Ⅲ was 100％(13/13).Based on the golden standard of postoperative pathological staging,the accuracy of mul-timodal MRI in the diagnosis of EC patients was 89.25％(83/93)in stage Ⅰ,94.12％(48/51)in stageⅡ,and 100％(13/13)in stage Ⅲ.According to the pathological staging,145 EC positive cases were de-tected by 18F-FDG PET/CT,the accuracy rate was 92.36％(145/157).Conclusion 18F-FDG PET/CT has a high diagnostic accuracy in EC patients,TVS and multimodal MRI have a high value in the preoperative staging diagnosis of EC,and are worthy of clinical promotion.

Objective To explore the effect and mechanism of quercetin on osteogenic differentiation of bone marrow mesenchymal stem cells(BMSCs).Methods BMSCs were divided into a blank control group(Control)and quercetin(Quercetin)low-dose group(4.8 mL/kg),medium-dose group(9.6 mL/kg),and high-dose group(19.2 mL/kg)intervened with drug-containing serum,while the positive control group was treated with osteogenic differentiation medium,respectively.The cell cycle was analysed by flow cytometry,cell proliferation was detected by MTT assay,cell activity was determined by Alkaline phosphatase(ALP)assay kit,and calcified nodule formation was observed by alizarin red staining.The expression of β-catenin and the key factors of osteogenic differentiation,runt-related transcription factor 2(RUNX2)and osteocalcin(OCN),were detected by qPCR and Western blot,respectively.Results Compared with the control group,quercetin-containing serum significantly promoted the proliferation of BMSCs(P=0.000205,P=0.000063)and enhanced the formation of calcium nodules,and increased osteogenic and ALP activity after osteogenic differentiation.The results of qPCR and Western blot showed that the quercetin group significantly up-regulated the mRNA and protein expression of β-catenin(P<0.0001),RUNX2(P<0.0001)and OCN(P<0.0001)during osteogenic differentiation.Conclusion Quercetin can effectively promote the osteogenic differentiation of BMSCs,and its mechanism is achieved by activating the Wnt/β-catenin signaling pathway and up-regulating the expression of the osteogenesis-related transcription factor RUNX2.

Objective To explore the correlation between central venous oxygen saturation(ScvO2)-re-lated indexes at different time points and the occurrence of low cardiac output syndrome(LCOS)after con-genital heart disease(CHD)correction surgery.Methods A total of 73 children who underwent CHD correc-tion surgery in this hospital from July 1st,2021 to July 1st,2024 were selected as the research subjects.The clinical data,preoperative conditions,and postoperative conditions of the children were collected.The ScvO2 and arterial lactate(Lac)levels of the children at different time points(the 1st,6th,12th,and 24th hours after surgery)were monitored,and the ScvO2/Lac at different time points and the change rate of ScvO2 in different time periods were calculated.The correlation between ScvO2-related indexes and LCOS after CHD correction surgery was analyzed.Results ScvO2 at the 6th hour after surgery,ScvO2 at the 12th hour after surgery,Sc-vO2/Lac at the 12th hour after surgery,the change rate of ScvO2 from the 1st to the 24th hour after surgery,the change rate of ScvO2 from the 6th to the 12th hour after surgery,and the change rate of ScvO2 from the 12th to the 24th hour after surgery were independent influencing factors of LCOS occurrence after CHD cor-rection surgery(P＜0.05).There was a negative correlation between ScvO2 at the 12th hour after surgery,ScvO2/Lac and LCOS occurrence after CHD correction surgery(r=-0.543,-0.523,P＜0.05).The area under the curve(AUC)of ScvO2 at the 12th hour after surgery for predicting LCOS occurrence after CHD correction surgery was 0.938(95％CI:0.865-1.000);the AUC of ScvO2/Lac at the 12th hour after surgery for predicting LCOS occurrence after CHD correction surgery was 0.922(95％CI:0.851-0.994).Conclusion ScvO2 and ScvO2/Lac at the 12th hour after surgery have good predictive potential for LCOS occurrence af-ter CHD correction surgery.

Objective To analyze the clinical parameters of esophageal cancer patients before and during neoadjuvant chemotherapy,as well as to explore the related factors and predictive value that affect the efficacy of neoadjuvant chemotherapy for esophageal cancer.Methods A total of 194 patients with esophageal cancer who underwent neoadjuvant chemotherapy at the First Affiliated Hospital of Guangxi Medical University from 2020 to 2023 were selected as the research subjects.The treatment process and outcomes of the patients were followed up,and they were divided into an effective group and an ineffective group according to the effi-cacy.Differences were compared in clinical parameters between two groups of patients before and during treat-ment,screen for factors that may affect efficacy,correlation analysis was conduct to explore the correlation be-tween relevant factors and the efficacy of neoadjuvant chemotherapy,and the predictive value of relevant fac-tors were analyzed using receiver operating characteristic(ROC)curve analysis.Results There was a statisti-cally significant difference(P＜0.05)in the average cycle cost,lowest WBC value,lowest PLT value,inci-dence of nausea,transaminase abnormalities,and hair loss between the two groups.Logistic regression analysis showed that average cycle cost,transaminase abnormalities,and hair loss were related factors affecting neoad-juvant chemotherapy for esophageal cancer.Spearman correlation analysis showed that the above indicators had a certain correlation with the efficacy of neoadjuvant chemotherapy for esophageal cancer.ROC curve a-nalysis showed that the area under the curve(AUC)for predicting the efficacy of neoadjuvant chemotherapy in esophageal cancer by combining transaminase abnormalities,average cycle cost,and hair loss was 0.758(95％CI:0.683-0.832)Conclusion There is a certain correlation between average cycle cost,transaminase abnormalities,and hair loss and the effectiveness of neoadjuvant chemotherapy for esophageal cancer,which has certain predictive value for the efficacy of neoadjuvant chemotherapy for esophageal cancer.

Objective To explore an epileptic seizure prediction method for patients with refractory epilepsy to improve the classification and prediction efficiency of epileptic electroencephalogram(EEG)signals.Methods The study used the long-term EEG database of patients with intractable epilepsy from Children's Hospital Boston(CHB-MIT).The EEG features of epileptic seizures and preictal periods were extracted from multiple dimensions such as EEG synchronization,complexity,and energy distribution,and then these features were input into the artificial neural network model for classification and identification,thereby achieving accurate prediction of epilepsy.The performance were optimized by adjusting the model parameters,and a comparative evaluation was conducted with existing deep learning models.Results The model proposed in this study showed an accuracy rate of 99.29％,a precision of 91.44％,a sensitivity of 96.46％,and a specificity of 99.46％.Compared with current epilepsy seizure prediction studies based on machine learning or deep learning frameworks,the model in this study improved its classification prediction capabilities and demonstrated higher prediction accuracy.Conclusion An effective prediction of epileptic seizures was achieved by manually extracting epileptic EEG features and constructing an artificial neural network model.The model demonstrated high accuracy and stability,providing reliable technique to support clinical treatment and prevention of epilepsy.

Objective To analyze the reasons for the failure of subject screening in clinical trials of antineoplastic drugs and the impact of natriuretic criteria on the entry of subjects into clinical trials,to explore the strategies to improve the suc-cessful enrolment of screened subjects,and to provide reference bases for research institutes and sponsors in the formulation of na-triuretic criteria.Methods This study selected data from 40 drug clinical trials conducted at the Drug Clinical Trial Research Center of the Cancer Hospital of the Chinese Academy of Medical Sciences from January 1,2016,to June 30,2022.It statistically described the collected data on the frequency and percentage composition of screening failures among participants and the inclu-sion and exclusion criteria in the protocols.Results A total of 425 subjects were screened out of 40 clinical trial programmers covering 8 tumor types,with the majority being＜65 years of age(333,78.4％),of which the most important reasons included vol-untary withdrawal(71,16.7％),tumor metastasis(52,12.2％),failure to recover from treatment of pre-existing disease(38,8.9％),failure of bone marrow function(19,4.5％),and non-compliant liver function(15,3.5％).Among the nadir indicators,the age of the subjects(100％),ECOG score(97.5％),bone marrow function(ANC:95.0％,PLT:97.5％,HB:97.5％),liver function(T-BiL:95.0％,ALT:87.5％,AST:95.0％),renal function(CR:80.0％),and viral screening(HIV:80.0％,HBV:70.0％,HCV:62.5％)were relatively stringent.Conclusion The main reasons for subject screening failure in clinical trials in oncology in our hospital are voluntary withdrawal,brain metastasis,and failure of their biochemical test standards,which are close-ly related to the setting of clinical trial nadir criteria.Therefore,an in-depth understanding of subjects'characteristics,accurate set-ting of appropriate nadir criteria,continuous improvement of trial design,and strengthening of communication with subjects to pro-vide more relevant information will help to improve the screening success rate of clinical trials.