ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

Objective To investigate the prevalence of Clonorchis sinensis human infections in Congjiang County, Guizhou Province in 2023, so as to provide insights into formulation of the clonorchiasis control strategy. Methods Congjiang County was divided into eastern, western, southern, northern and central areas according to the geographical locations, and one township was randomly sampled from each area. Then, each administrative village was randomly sampled from each township, and 200 permanent residents over 3 years of age were randomly sampled from each village. Participants’ stool samples were collected for detection of C. sinensis eggs with the Kato-Katz technique (two slides for each stool sample), and the prevalence and intensity of C. sinensis infections were calculated. In addition, the risk factors of clonorchiasis were identified among participants using a questionnaire survey. Results A total of 1 001 residents were included, and the prevalence of C. sinensis infections was 16.28% (163/1 001), with mild infections as the predominant category of infection intensity [73.01% (119/163)]. The prevalence rates of C. sinensis human infections were 30.50% (61/200), 1.50% (3/200), 30.35% (61/201), 12.50% (25/200), and 6.50% (13/200) at five survey sites, respectively (χ² = 107.03, P < 0.05), and there was a significant difference in the prevalence of C. sinensis infections between men [22.44% (112/499)] and women [10.16% (51/502)] (χ² = 27.71, P < 0.05). The prevalence of C. sinensis infections was relatively high among participants at ages of 60 to 70 years [26.14% (23/88)], public servants [46.15% (6/13)], and Han ethnic participants [33.33% (5/15)]. The prevalence of C. sinensis infections was higher among participants with a habit of consuming raw or un-dercooked freshwater fish and shrimp [22.06% (90/408)] than among those without the habit [12.31% (73/593)] (χ² = 16.85, P < 0.05), and there was no significant difference in the prevalence of C. sinensis infections between participants with [13.99% (41/293)] and without separation of raw and cooked chopping boards [17.23% (122/708)] (χ² = 1.59, P > 0.05). In addition, the prevalence of C. sinensis infections was 8.70% (2/23) and 16.46% (161/978) among participants with and without fever complicated by discomfort in the right upper abdomen during the past half year (χ² = 0.99, P > 0.05). Conclusions The prevalence of C. sinensis human infections was high in Congjiang County, Guizhou Province in 2023, and infections predominantly occurred among young and middle-aged men. Intensified health education among high-risk residents and alteration of dietary habits of consuming raw or undercooked freshwater fish or shrimp are recommended to reduce the prevalence of C. sinensis human infections.

Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

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.

ObjectiveTo investigate the features of liver histopathological damage in patients with indeterminate phase of chronic HBV infection， as well as the timing for initiating antiviral therapy in such patients. MethodsA retrospective screening was performed for the patients with chronic HBV infection who were hospitalized in The Fifth Medical Center of Chinese PLA General Hospital and underwent liver biopsy from March 2018 to April 2022， among whom the patients who met the criteria for indeterminate phase defined in Chinese guidelines for chronic hepatitis B prevention and treatment （2022 edition） were enrolled， and their clinical data were collected. Liver histopathological stage was determined using the Scheuer scoring system， with stages 0 — 4 for inflammation grade （G） and stages 0 — 4 for fibrosis degree （S）， and the patients were divided into groups based on the presence of significant necroinflammation （≥G2） and significant liver fibrosis （≥S2）. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A Spearman’s rank correlation analysis was used to investigate the correlation between liver histopathology and clinical factors， and the Logistic regression model was used to identify the independent influencing factors for significant necroinflammation and liver fibrosis. ResultsA total of 271 patients with indeterminate phase of chronic HBV infection were enrolled， among whom 61 （22.5%） had significant necroinflammation （≥G2） and 124 （45.8%） had significant liver fibrosis （≥S2）. The Logistic regression analysis showed that alanine aminotransferase ≥30 U/L （for male patients） or ≥19 U/L （for female patients） （odds ratio ［OR］=2.69， 95% confidence interval ［CI］： 1.39 — 5.21， P=0.003）， HBV DNA ≥2 000 IU/mL （OR=2.75， 95%CI： 1.38 — 5.48， P=0.004）， and liver stiffness measurement （LSM） ≥6.0 kPa （OR=4.57， 95%CI： 2.17 — 9.62， P<0.001） were independent risk factors for significant inflammation. HBV DNA ≥2 000 IU/mL （OR=1.82， 95%CI： 1.01 — 3.32， P=0.049） and LSM ≥6.0 kPa （OR=2.06， 95%CI： 1.23 — 3.43， P=0.006） were independent influencing factors for significant liver fibrosis. ConclusionAmong the patients with indeterminate phase of chronic HBV infection， a substantial proportion of patients have significant liver histopathological damage. Antiviral therapy should be initiated in a timely manner for patients with high-risk factors.

Objective:To investigate the drug resistance of newly diagnosed HIV-1 infected patients in Shanghai and to provide reference value for clinical antiretroviral therapy (ART).Methods:The peripheral venous blood plasma of 196 newly diagnosed HIV-1 infected patients screened according to the inclusion and exclusion criteria at the Shanghai Public Health Clinical Center from April to June 2023 was collected, HIV-1 RNA was extracted, the pol region was amplified by reverse transcription-polymerase chain reaction (RT-PCR) for sequencing, the mutation sites and ART drug resistance were analyzed.Results:The plasma of 196 newly diagnosed HIV-1 infected patients was amplified successfully in 162 cases (amplification success rate was 82.65%). The subtypes consisted of CRF07_BC(51.23%), CRF01_AE (27.78%), and others (6.79%), CRF55_01B (5.56%), B (3.70%), CRF01_AE/B (3.70%) and CRF08_BC (1.23%). The overall transmitted drug resistance rate was 7.41%, the protease inhibitors (PIs), non-nucleoside/nucleotide reverse transcriptase inhibitors (NNRTIs), nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs), integrase inhibitors (INSTIs) resistance rates were 3.09%, 3.70%, 0.00% and 0.62%, respectively. The proportion of NNRTIs-related mutation sites in B (66.67%) and CRF55_01B (88.89%) was higher than that in CRF07_BC (13.25%); the proportion of NNRTIs-related mutation sites in CRF55_01B (88.89%) was higher than that in CRF01_AE (22.22%) and other subtypes (18.18%), the difference was statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the probability of PIs-related mutation sites in CRF01_AE/B was 21.71 times that of CRF07_BC[odds ratio ( OR)=21.71, 95% confidence interval ( CI): 3.36-140.27, P=0.001]. Conclusions:The transmitted drug resistance among newly diagnosed HIV-1 infected patients in Shanghai is at the moderate epidemic level, mainly NNRTIs and PIs-related drug resistance, and the INSTIs resistance rate is low, the use of INSTIs in ART regimens should be considered.

Objective:To establish a practical patient-based internal quality control method for valproic acid drug concentration monitoring.Methods:Observational Study. A PBRTQC model based on the exponentially weighted moving average (EWMA) method was established using Python. All results of a total of 28, 757 valproic acid concentration data from February 1, 2023 to January 31, 2024 were collected and split into training set and validation set at a ratio of 80% and 20% respectively. The truncation limit (TL) was optimized by using the winsorized mean method and the trimmed mean method. Different weighting coefficients λ were set. Different TL and different λ were combined with the EWMA algorithm into different patient-based real-time quality control (PBRTQC) models. The optimized models were verified by introducing simulated constant errors (CE) and proportional errors (PE) respectively. The false positive alarm rate (FAR) was used to evaluate specificity, and the average number of patients before error detection (ANPed) was used to evaluate sensitivity. According to the daily test volume and quality target requirements, we comprehensively judged whether the performance evaluation indicators of FAR and ANPed meet the laboratory requirements. Bias detection curve was used for determination of the best model.Results:The parameters of the best PBRTQC model for valproic acid drug concentration monitoring are: trimmed mean method with 1.5 standard deviations (i.e., truncating data outside 1.5 standard deviations of the data mean), λ=0.01. The performance verification result shows that ANPed of CE and PE of this model are both less than 100. The comparison between the EQA results and the EWMA results show that the EWMA method results are comparable to the EQA results.Conclusion:A PBRTQC model for the valproic acid drug concentration monitoring project based on the EWMA method has been successfully established. It is comparable with both IQC and EQA results, which means PBRTQC may be used as a supplement to the quality control of daily quality control products.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To investigate the value of albumin-bilirubin(ALBI),easy albumin-bilirubin(EZ-ALBI),and platelet-albumin-bilirubin(PALBI)scores in predicting 2-year survival in patients with HCV-associated hepatocellular carcinoma(HCV-HCC).Methods A retrospective analysis was performed for the clinical data of 174 patients with HCV-HCC who were admitted to The Third People's Hospital of Kunming from January 2020 to January 2022,and the patients were followed up till 2 years after admission.According to the follow-up results,the patients were divided into survival group with 95 patients and death group with 79 patients.The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups,and the chi-square test was used for comparison of categorical data between two groups.Univariate and multivariate Cox proportional-hazards regression model analyses were used to investigate the influencing factors for the survival of HCV-HCC patients.The Kaplan-Meier method was used to plot survival curves and analyze the 2-year survival rate of HCV-HCC patients with different EZ-ALBI grades,and the log-rank test was used for comparison between groups.Results There were significant differences between the survival group and the death group in platelet count,aspartate aminotransferase(AST),total bilirubin,albumin(Alb),alpha-fetoprotein(AFP),prealbumin,prothrombin time,international normalized ratio,PALBI score,ALBI score,EZ-ALBI score,Model for End-Stage Liver Disease(MELD)score,HCV genotype,peritoneal effusion,and vascular invasion(all P<0.05).The univariate Cox regression analysis showed that AST,Alb,AFP,ALBI score,EZ-ALBI score,PALBI score,MELD score,Barcelona Clinic Liver Cancer Staging,and peritoneal effusion were influencing factors for the survival of patients(all P<0.05),and the multivariate Cox regression analysis showed that EZ-ALBI score(hazard ratio[HR]=1.850,95%confidence interval[CI]:1.054-3.247,P=0.032)and peritoneal effusion(HR=1.993,95%CI:1.030-3.858,P=0.041)were independent risk factors for the survival of HCV-HCC patients.The survival curve analysis showed that the patients with EZ-ALBI grade 1/2/3 had a 2-year survival rate of 90.9%,60.2%,and 32.2%,respectively,and there was a significant difference in cumulative survival rate between the patients with different EZ-ALBI grades(χ2=26.294,P<0.001).Conclusion EZ-ALBI score and the presence or absence of peritoneal effusion can be used as predictors of the survival of HCV-HCC patients.