This paper systematically reviews the current status of integrated traditional Chinese and western medicine in the treatment of Helicobacter pylori （Hp） infection， as well as recent progress in clinical and basic research both in China and internationally. It summarizes the advantages of traditional Chinese medicine （TCM） in Hp infection management， including improving Hp eradication rates， enhancing antibiotic sensitivity， reducing antimicrobial resistance， decreasing drug-related adverse effects， and ameliorating gastric mucosal lesions. These advantages are particularly evident in patients who are intolerant to bismuth-containing regimens， those with refractory Hp infection， and individuals with precancerous gastric lesions. An integrated， whole-process management approach and individualized， staged comprehensive treatment strategies combining TCM and western medicine are proposed for Hp infection. Future prevention and control of Hp infection should adopt an integrative Chinese-western medical strategy， emphasizing prevention， strengthening primary care， implementing proactive long-term monitoring， optimizing screening strategies， and advancing the development of novel technologies and mechanistic studies of Chinese herbal interventions. These efforts aim to provide a theoretical basis and practical pathways for the establishment and improvement of Hp infection prevention and control systems.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

Objective:To analyze clinical indicators and imaging data of hospitalized pneumonia patients and develop prediction models for length of hospital stay based on CT radiomics features and clinical indicators.Methods:Patients admitted to the First Clinical School of Hainan Medical University for pneumonia treatment between November 2020 and May 2024 were enrolled. Clinical data and CT imaging were collected, and radiomics features were extracted. Patients were divided into three groups based on the length of stay (<8 d, 8-28 d,>28 d, and poor prognosis). Three prediction models were constructed using logistic regression (LR): clinical features model, imaging features model and a combined clinical and imaging features model. The predictive performance of three models was evaluated using the area under the receiver operating characteristic (ROC) curve and DeLong test, followed by feature analysis. The Kappa test was used to compare the consistency of the overall classification.Results:A total of 343 subjects were included, with an average age of 61.46±20.98 years. The area under the curve (AUC) values of the combined model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.73, 0.65 and 0.78 in the training set, and 0.71, 0.65 and 0.76 in the validation set, respectively. The AUC values of the clinical feature model in different hospitalization duration classifications were 0.63, 0.64 and 0.73 in the training set, and 0.60, 0.52 and 0.63 in the validation set, respectively. The AUC values of the imaging feature model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.67, 0.66 and 0.73 in the training set, and 0.68, 0.54 and 0.66 in the validation set, respectively. The DeLong test results showed that the combined model outperformed other models in hospitalization duration classification (validation set AUC, all P<0.05, Bonferroni correction). Kappa test results showed that the combined model achieved the highest consistency between predicted classifications and actual hospitalization classifications ( K=0.615). Shape features, texture features and clinical features all contributed proportionally to the combined model. Conclusion:The combined model integrating radiomics features with clinical indicators can significantly enhance the predictive efficacy for the length of hospitalization in pneumonia patients.

Objective:To evaluate the clinical predictive value of SPECT myocardial perfusion imaging (MPI) in the occurrence of cardiac death in patients with chronic kidney disease (CKD).Methods:A retrospective follow-up was performed for 160 patients (109 males, 51 females; age: 68.5(61.0, 74.0) years) who underwent MPI in Beijing Anzhen Hospital, Capital Medical University between June 2017 and March 2024. The 17-segment 5-point method was used for image analysis to obtain the left ventricular myocardial perfusion and functional parameters. The patients were followed up for cardiac death, and divided into death group and survival group. Clinical data of those 2 groups were compare by χ2 test, the independent-sample t test or Mann-Whitney U test. Cox proportional hazards regression analysis was used to analyze the predictors related to cardiac death. The ROC curve was used to analyze the performance of predictors. Survival curves were obtained by the Kaplan-Meier method, and log-rank test was performed to compare the difference between 2 groups. Results:The follow-up time of 160 patients with CKD was 26.0(10.0, 46.5) months. Of 160 patients, 17 died and 143 survived. There were statistically significant differences in body mass index (BMI), previous myocardial infarction, previous revascularization, hypersensitive C-reactive protein (hs-CRP), positive MPI, left ventricular end-diastolic volume (EDV), end-systolic volume (ESV), ejection fraction (EF), summed stress score (SSS), summed rest score (SRS) and summed difference score (SDS) between the death group and the survival group ( χ2 values: 4.58-16.13, t values: -2.34, -3.97, Z values: from -2.81 to 5.02, all P<0.05). Multivariate Cox regression analysis showed that SSS (hazard ratio ( HR)=1.153, 95% CI: 1.062-1.252, P=0.001) and hs-CRP ( HR=1.031, 95% CI: 1.004-1.058, P=0.023) were independent risk factors for cardiac death in patients with CKD. The optimal cut-off value of SSS for predicting cardiac death in those patients was determined to be 8 with the AUC of 0.815, and the incidence of cardiac death in the SSS ≥8 group was significantly higher than that in the SSS<8 group (33.3%(12/36) vs 4.0%(5/124); χ2 = 25.44, P<0.001). Conclusion:MPI is an important imaging method for the evaluation of cardiac death in patients with CKD, SSS and hs-CRP are important risk factors in predicting cardiac death in those patients.

Objective:To analyze clinical indicators and imaging data of hospitalized pneumonia patients and develop prediction models for length of hospital stay based on CT radiomics features and clinical indicators.Methods:Patients admitted to the First Clinical School of Hainan Medical University for pneumonia treatment between November 2020 and May 2024 were enrolled. Clinical data and CT imaging were collected, and radiomics features were extracted. Patients were divided into three groups based on the length of stay (<8 d, 8-28 d,>28 d, and poor prognosis). Three prediction models were constructed using logistic regression (LR): clinical features model, imaging features model and a combined clinical and imaging features model. The predictive performance of three models was evaluated using the area under the receiver operating characteristic (ROC) curve and DeLong test, followed by feature analysis. The Kappa test was used to compare the consistency of the overall classification.Results:A total of 343 subjects were included, with an average age of 61.46±20.98 years. The area under the curve (AUC) values of the combined model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.73, 0.65 and 0.78 in the training set, and 0.71, 0.65 and 0.76 in the validation set, respectively. The AUC values of the clinical feature model in different hospitalization duration classifications were 0.63, 0.64 and 0.73 in the training set, and 0.60, 0.52 and 0.63 in the validation set, respectively. The AUC values of the imaging feature model in different hospitalization duration classifications (<8 d, 8-28 d,>28 d, and poor prognosis) were 0.67, 0.66 and 0.73 in the training set, and 0.68, 0.54 and 0.66 in the validation set, respectively. The DeLong test results showed that the combined model outperformed other models in hospitalization duration classification (validation set AUC, all P<0.05, Bonferroni correction). Kappa test results showed that the combined model achieved the highest consistency between predicted classifications and actual hospitalization classifications ( K=0.615). Shape features, texture features and clinical features all contributed proportionally to the combined model. Conclusion:The combined model integrating radiomics features with clinical indicators can significantly enhance the predictive efficacy for the length of hospitalization in pneumonia patients.

Objective To collect oral exhaled odor spectrum of patients of chronic atrophic gastritis(CAG)with yin deficiency syndrome and detect their gut microbiota;To elucidate the mechanism of odor changes from the perspective of gut microbiota changes;To provide a basic research for the objectification of TCM olfactory diagnosis in CAG.Methods Totally 110 patients with CAG,including 55 patients with CAG yin deficiency syndrome,55 patients with CAG non-yin deficiency syndrome,and 30 healthy individuals were collected.The electronic nose technology was used to collect the oral exhaled odor spectrum of all subjects,and an improved Transformer model was used to identify the breath odor spectrum of CAG yin deficiency syndrome patients and healthy individuals,CAG non-yin deficiency syndrome patients and healthy individuals,CAG yin deficiency syndrome patients and CAG non-yin deficiency syndrome patients.At the same time,16S rRNA high-throughput sequencing method was used to detect the gut microbiota of the subjects'fecal samples,and the correlation analysis between the odor spectrum characteristics of CAG yin deficiency syndrome and gut microbiota was conducted.Results ① Analysis and recognition of odor spectrum characteristic.Amplitude characteristics:The response curves A,C,D,G,H,I and J of the odor spectrum in the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group were all lower in amplitude than those in the healthy group(P<0.01,P<0.05).Slope characteristics:The slopes of response curves A,B,C,D,E,G,H,I and J in the odor spectrum of the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group were lower than those of the healthy group(P<0.01,P<0.05).Pattern recognition:The accuracy of pattern recognition between the CAG yin deficiency syndrome group and the healthy group reached 0.904,with an area under ROC curve(AUC)of 0.91;the accuracy of pattern recognition between the CAG non-yin deficiency syndrome group and the healthy group reached 0.885,AUC=0.89;the accuracy of pattern recognition between the CAG yin deficiency syndrome group and the CAG non-yin deficiency syndrome group reached 0.747,AUC=0.75.② Species composition:At the genus level,compared with the healthy group,the abundance of Actinomyces,Escherichia-Shigella and Tyzzerella in the CAG yin deficiency syndrome group increased(P<0.05),while the abundance of Prevotella,Sutterella and Subdoligranulum decreased(P<0.05);the abundance of[Ruminococcus]_gnavus_group and Escherichia-Shigella in the CAG non-yin deficiency syndrome group increased significantly(P<0.01),while the abundance of Prevotella and Subdoligranulum decreased(P<0.05).Compared with the CAG yin deficiency syndrome group,the non-yin deficiency syndrome group showed significant enrichment of the Dialister(P<0.05).③ Correlation analysis between odor spectrum characteristics and gut microbiota in CAG yin deficiency syndrome:This study identified 17 bacterial genera that showed positive and negative correlations with the amplitude and slope characteristics of the odor spectrum in CAG yin deficiency syndrome,namely Lachnospiraceae_NK4A136_group,Lachnospiraceae_ND3007_group,Faecalibacterium,UCG-002,UCG-005,Coprococcus,CAG-352,Parabacteroides,Actinomyces,Streptococcus,Anaerostipes,Blautia,Dorea,[Eubacterium]_hallii_group,Phascolarctobacterium,Clostridium_sensu_stricto_1,Enterobacter.The above-mentioned bacterial genera could be classified into the following bacterial families:Trichomonas,Clostridia,Porphyromonas,Actinobacteria,Ruminococcus,Streptococcus,Bacteroidetes,Clostridium,Veillonellaceae and Enterobacteriaceae.Conclusion The use of electronic nose technology can accurately identify the oral exhaled odor of patients with CAG yin deficiency syndrome,CAG non-yin deficiency syndrome,and healthy individuals;the odor spectrum characteristics of patients with CAG yin deficiency syndrome are correlated with multiple bacterial genera,and the changes in related metabolites and gases produced by the disruption of their gut microbiota may be one of the biological bases for the changes in oral exhaled odor in CAG yin deficiency syndrome.

Objective:To investigate the screening, clinical and genetic characteristics and prognosis of hereditary tyrosinemia type Ⅰ (HT-Ⅰ) in some areas of Shanghai, and to summarize the relevant characteristics of Chinese cases reported at home and abroad.Methods:From December 2010 to May 2023, the clinical data of children diagnosed with HT-Ⅰ by tandem mass spectrometry combined with genetic detection in Neonatal Screening Center of Shanghai Children′s Hospital were retrospectively analyzed, and the relevant literature was reviewed.Results:A total of 282 149 neonates were screened for genetic metabolic disease by tandem mass spectrometry, and 1 case of HT-Ⅰ was diagnosed, with an incidence of 1∶282 149. Complex heterozygous mutations of FAH genes c. 974C>T and c. 22G>T were found by genetic testing. c. 22G>T was not reported as a new mutation. Diet and drug therapy were given immediately after diagnosis. At present, the follow-up was up to 8 months, and the physical and intellectual development were normal. A total of 32 literatures meeting the inclusion criteria were obtained through database search, and 46 cases of HT-Ⅰ Chinese children were reported. Most of the clinical manifestations were abdominal distension, poor appetite, jaundice, etc., accompanied by different degrees of abnormal coagulation function, hepatosplenomegalysis, cirrhosis and even liver failure. A total of 25 alleles were reported, and the variation of c. 455G>A was the most common. Conclusions:HT-Ⅰ is rare in the population of Shanghai, China, and new mutations enrich the variation spectrum of HT-Ⅰ, which provides basis for family genetic counseling and prenatal diagnosis of children.

Objective:To prepare ((2-(2-chlorophenyl)-3-(4-((2- 18F-fluoroethyl)oxy)phenyl)-5, 6, 7, 8-tetrahydrooxepino[3, 2-c]pyrazol-8-yl)amino)methanoic acid methyl ester ( 18F-JR-1001) and evaluate its binding affinity to the cannabinoid type 1 receptor (CB1R). Methods:18F-JR-1001 was synthesized using an integrated automated synthesis module, and its radiochemical yield (RCY) and molar activity were determined. Cell-specific uptake, lipid-water partition coefficient (log P), competitive binding assays, and in vitro stability tests were performed. Rimonabant-fed rat models (blocking group) with pre-occupied CB1R were established. Radioautography and microPET/CT imaging were conducted on both the blocking group and normal Sprague-Dawley (SD) rats to evaluate the brain uptake of 18F-JR-1001 and its blood-brain barrier (BBB) penetration capability. Results:The RCY of the synthetic 18F-JR-1001 after decay correction was (32.5±9.2)% ( n=10), with the molar activity of (194.6±67.3)GBq/μmol. Cell experiments demonstrated that 18F-JR-1001 exhibited specificity for CB1R, with log P of 3.40±0.11 ( n=3) and half-maximal inhibitory concentration of 0.975nmol/L. Within 3h at 37℃, the radiochemical purity of 18F-JR-1001 in physiological saline and blood remained above 92%, with no significant radioactive by-product peaks observed. Radioautography showed that the whole brain uptake of 18F-JR-1001 in the blocking group was 65.6% of that in normal SD rats. MicroPET/CT imaging showed that the mean whole brain uptake of 18F-JR-1001 in the blocking group was 0.4706, which was lower than that in normal SD rats (1.0561). Additionally, continuous scanning for 60min demonstrated that 18F-JR-1001 exhibited good BBB penetration capability. Conclusion:The synthesized 18F-JR-1001 meets the requirements of production and application, and is proved the potential as a CB1R-targeted tracer in the in vitro experiments, microPET/CT imaging and radioautography.

Objective:To analyze the differences in screening neonatal glucose-6-phosphate dehydrogenase (G6PD) deficiency in different birth seasons, establish screening thresholds for G6PD concentration in each season using indirect methods, and verify the reliability of the results.Methods:This was a cross-sectional study.A total of 140 823 newborns were collected from the Neonatal Screening Center of Shanghai Children′s Hospital from January 2020 to December 2023, including 41 029 cases, 35 796 cases, 33 969 cases and 30 029 cases in spring, summer, autumn and winter groups, respectively.The concentration of G6PD on the dried blood filter paper was determined using an automatic fluorescence analyzer.The distribution and statistical index of concentration values in four seasons were analyzed.The Kolmogorov-Smirnov test was used for normal distribution.The skewed distribution data was converted into approximately normal distribution using Box-Cox.Outliers were eliminated using the interquartile range (Turkey) method.The cumulative frequency distribution map was drawn through R language programming.The linear regression equation Y=B X+ A was fitted.The 0.5th percentile ( P0.5) was used as the screening threshold, which was compared with the reference value given by the manufacturer or laboratory and with the reference change value (RCV). Results:In the spring group, the positive rate was 4.02‰, 91 cases were confirmed, and the incidence was 1∶451.In the summer group, the positive rate was 7.18‰, 90 cases were confirmed, and the incidence was 1∶398.In the autumn group, the positive rate was 3.21‰, 86 cases were confirmed, and the incidence was 1∶395.In the winter group, the positive rate was 2.26‰, 61 cases were confirmed, and the incidence was 1∶492.The incidence rate did not change significantly in the four seasons ( P>0.05).The G6PD concentrations in the four seasons were compared in pairs, and the result was winter>autumn>spring>summer.The thresholds for G6PD screening were established indirectly: 25.08 U/dL, 22.83 U/dL, 26.63 U/dL and 38.01 U/dL in spring, summer, autumn and winter groups, respectively.The relative deviation in the threshold between the summer group and the laboratory was lower than RCV, while that between the other groups was higher than RCV.According to the screening threshold, the negative and positive conformity rates of 12 batches of 120 samples in the inter-laboratory evaluation program of Chinese Taiwan Preventive Medicine Foundation of China reached 100%. Conclusions:There is no difference in the incidence of G6PD deficiency between birth seasons.It is feasible to establish the screening threshold in each season using indirect methods, which is conducive to improving the efficiency of screening.

Objective:To explore the correlations between the monocytes/high-density lipoprotein ratio (MHR), alkaline phosphatase (ALP), and all-cause mortality in patients undergoing maintenance peritoneal dialysis (PD), and to provide references for clinical prevention and treatment strategies.Methods:A retrospective analysis was conducted on the clinical data of 336 PD patients who were treated in the Affiliated Hospital of Jining Medical University from June 2014 to August 2023. According to the survival status of the patients during the follow-up period, they were divided into the death group ( n=55) and the survival group ( n=281). The differences in clinical data, blood routine, laboratory biochemical indicators, monocyte count, high-density lipoprotein cholesterol, and ALP indicators between the two groups were collected and compared. Multivariate Cox regression analysis was used to screen the risk factors for all-cause mortality in PD patients, and Pearson correlation analysis was used to evaluate the correlation between the survival time of patients and related indicators. Results:In this study, there were 55 patients who died of all causes. The causes of death were cardiovascular events in 26 cases (47.27%), gastrointestinal bleeding in 3 cases (5.45%), infection in 7 cases (12.73%), multiple organ failure in 8 cases (14.55%), and unexplained death in 11 cases (20.00%). There was no statistically significant difference in gender, age, weight, serum parathyroid hormone (PTH), and total cholesterol (TC) between the death group and the survival group (all P>0.05). The treatment time, neutrophil count, red blood cell volume distribution width (RDW), ALP, blood uric acid (UA), blood calcium, MHR and creatinine in the death group were all higher than those in the survival group (all P<0.05), while the lymphocyte count was lower than that in the survival group ( P<0.05). The Cox risk model showed that MHR, ALP, treatment duration, neutrophil count, lymphocyte count, RDW, UA, and creatinine were independent risk factors for all-cause mortality in PD patients ( OR=1.578, 2.881, 1.021, 1.122, 1.476, 2.231, 1.018, 1.008, all P<0.05); Pearson correlation analysis revealed that the survival time of PD patients was negatively correlated with MHR and ALP ( r=-0.305, -0.246, all P<0.05). Conclusions:The levels of MHR and ALP are closely related to the risk of all-cause mortality in PD patients and are independent risk factors for all-cause mortality in patients.