Traditional Chinese medicine(TCM) capable of clearing heat and removing toxin is most commonly used in clinical practice and has the effect of removing fire-heat and toxin. Studies have shown that most of the Ilex plants have the effect of clearing heat and removing toxin, among which the varieties of I. cornuta, I. pubescens, I. rotunda, I. latifolia, and I. chinensis are most widely used. These plants generally contain triterpenoids and their glycosides, alkaloids, flavonoids, phenylpropanoids, and other chemical components, especially pentacyclic triterpenoids. According to their skeletons, pentacyclic triterpenoids can be divided into the oleanane type, the ursane type, the lupinane type, etc. Among them, ursane-type components are the most abundant, and 136 species have been found so far. These components have been proved to have pharmacological effects such as anti-inflammatory, anti-tumor, hypolipidemic, anti-thrombosis, cardiomyocyte-protective, antibacterial, and hepatoprotective effects. Therefore, this paper systematically reviews the domestic and foreign literature on Ilex plants with a focus on the research progress on pentacyclic triterpenoids and their pharmacological activities, aiming to provide reference for the development of TCM resources with the effect of clearing heat and removing toxin.
Ilex/chemistry* ; Plants, Medicinal/chemistry* ; Pentacyclic Triterpenes/pharmacology* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Animals

Rice (Oryza sativa L.) is an important food crop. The appearance of lesion mimics in rice leads to phytohormone disorders, which affects rice adaptation to environmental stresses and ultimately reduces the yield and quality. To explore whether the changes in the adaptability of rice lesion-mimic mutants to stressful environments are caused by the disorder of phytohormone metabolism in plants. In this study, we screened an ethyl methane sulfonate-treated population of the japonica cultivar 'Taipei 309' for a mutant with rust-like spots on leaves at the early tillering stage and brown-red spots at maturity and named it rsl1 (rust spotted leaf 1). Compared with the wild type, rsl1 showed decreases in plant height, panicle length, primary branch number, secondary branch number, filled grains per panicle, seed-setting rate, and 1 000-grain weight, and an increase in number of effective panicles. Genetic analysis indicated that rsl1 was controlled by a single recessive nuclear gene. RSL1 was localized between two molecular markers, B7-7 and B7-9, on rice chromosome 7 by map-based cloning. PCR sequencing of the annotated genes in this interval revealed a mutation of C1683A on the eighth exon of SPL5 (LOC_Os07g10390) in rsl1, which resulted in premature termination of protein translation. Exogenous phytohormone treatments showed that rsl1 was less sensitive to salicylic acid (SA), abscisic acid (ABA), and indo-3-acetic acid (IAA) and more sensitive to methyl jasmonate (MeJA) and gibberellin acid (GA) than the wild type. In addition, the survival rate of rsl1 was lower than that of the wild type under salt, alkali, drought, and high temperature stresses, and it was higher than that of the wild type under cold stress. Quantitative real-time polymerase chain reaction (qRT-PCR) results showed that RSL1 was involved in the regulation of ABA, SA, MeJA, IAA, and GA-related genes under abiotic stresses. The present study showed that the RSL1 mutation led to the appearance of lesion mimics and affected the growth, development, and stress resistance of rsl1 under abiotic stresses. The study of the functional mechanism of this gene can provide theoretical guidance for the research on rice stress resistance.
Oryza/microbiology* ; Stress, Physiological/genetics* ; Plant Diseases/genetics* ; Cloning, Molecular ; Chromosome Mapping ; Plant Growth Regulators/metabolism* ; Plant Proteins/genetics* ; Mutation ; Cyclopentanes ; Genes, Plant ; Plant Leaves/genetics* ; Oxylipins

Objective To establish dynamic nomogram models for postoperative recurrence and survival risk of patients with AFP-negative hepatocellular carcinoma(ANHC)based on multimodal clinical data,to identify ANHC-specific prognostic biomarker combinations by integrating tumor biological characteristics and treatment response parameters through machine learning,and to provide an individualized risk assessment tool for overcoming the limitations of traditional serum biomarkers.Methods A retrospective analysis was performed for 421 ANHC patients who underwent hepatectomy in Eastern Hepatobiliary Surgery Hospital from April 2012 to December 2018,and they were randomly divided into training group with 210 patients and validation group with 211 patients.The univariate and multivariate Cox proportional-hazards regression models were used to identify independent prognostic factors and establish a nomogram model,and the receiver operating characteristic(ROC)curve,the calibration curve,and the decision curve analysis were used to assess the performance of the model.Related indicators were measured,including prealbumin(PA),white blood cell count(WBC),tumor size,and microvascular invasion.The chi-square test or the Fisher's exact test was used for comparison of categorical variables between two groups,and the independent-samples t test or the Mann-Whitney U test was used for comparison of continuous variables between two groups.Results The multivariate analysis showed that multiple tumors(hazard ratio[HR]=3.30,P<0.001),WBC(HR=1.05,P=0.005),blood glucose(HR=1.15,P=0.026),CA19-9(HR=1.17,P=0.005),and tumor size(HR=1.17,P<0.001)were independent risk factors for disease-free survival(DFS),while PA(HR=0.99,P=0.022)was a protective factor.Incomplete tumor capsule(HR=0.60,P=0.009),age(HR=1.02,P=0.035),prothrombin time(PT)(HR=1.27,P=0.023),CA19-9(HR=1.01,P<0.001),and tumor size(HR=1.15,P<0.001)were independent risk factors for overall survival(OS).The DFS nomogram achieved an AUC of 0.74(95%confidence interval[CI]:0.64-0.84)in the training group and 0.67(95%CI:0.57-0.77)in the validation group,while the OS nomogram had an AUC of 0.76(95%CI:0.64-0.88)and 0.73(95%CI:0.60-0.87),respectively.The calibration curve and the decision curve analysis showed that the models had good predictive accuracy and clinical practicability.Conclusion Preoperative indicators,including tumor number,PA,WBC,and tumor size,can effectively predict postoperative recurrence in ANHC patients,while tumor capsule integrity,age,and PT are significantly associated with OS.The nomogram models established have good performance and can provide a basis for individualized prognostic assessment.

Objective:To evaluate the prevalence of hepatitis C virus (HCV) infection among patients attending a comprehensive tertiary hospital in Beijing and to pinpoint the key demographics for anti-HCV screening.Methods:A comprehensive retrospective analysis was undertaken, examining data from 631 424 patients who underwent anti-HCV testing between 2017 and 2023. Testing for anti-HCV was conducted using the Abbott i2000 fully automated chemiluminescent immunoassay analyzer. HCV nucleic acid testing was performed with the Roche Cobas AmpliPrep/Cobas TaqMan 96 fluorescent quantitative PCR system, while HCV genotyping was achieved through sequencing.Results:The positive rate of HCV antibodies demonstrated a gradual decline over the years, decreasing from 1.62% in 2017 to 1.01% in 2023. The overall positive rate stood at 1.36% (8 574/631 424), with a nucleic acid testing rate of 59.24% (5 079/8 574) and a nucleic acid positive rate of 34.28% (1 741/5 079). The majority of anti-HCV positive patients came from the department of hepatology (12.17%), followed by hepatobiliary surgery (3.03%), emergency medicine (1.68%), cardiovascular medicine (1.24%) and ophthalmology clinic (1.23%). Notably, the anti-HCV positive rate was significantly elevated in the ≥40 years old group compared to the <40 years old group, with statistical significance ( χ2=1 892.577, P=0.000). The highest anti-HCV positive rates were observed within the 60-69- and 80-99-years old brackets (both at 1.85%), while the peak HCV RNA positive rate was recorded in the 50-59 years old group (27.08%). Females exhibited a significantly higher positive rate (18.53%) than males (15.75%) ( χ2=8.066, P<0.01). When anti-HCV levels surpassed 9 S/CO, the HCV RNA positive rate was notably high, exceeding 38.97%. Intriguingly, at antibody levels ranging from 15 to 16 S/CO, the HCV RNA positive rate climbed to a maximum of 56.17%. Conclusions:This study has successfully identified the key populations for anti-HCV screening: Patients aged over 40, particularly female patients within the 50-69 age bracket; Patients in hepatology, hepatobiliary surgery, emergency medicine, cardiovascular medicine and ophthalmology departments.

Objective:To systematically analyze the impact of various physician payment methods on medical service delivery behavior and outcomes.Methods:Based on the scoping review method,2 255 documents related to"physician","compensation","payment method",and"physician behavior"were retrieved from Web of Science,CNKI,VIP,and WanFang databases,and finally 70 studies were included based on scientific screening standards and process.Results:Fee-for-service encourages physicians to deliver an adequate volume of services but is susceptible to overtreatment;salary and capitation assist in controlling costs but can lead to insufficient service provision;the advantages of DRG/DIP in the quantity and quality of medical services weaken as the patient's condition worsens.Mixed payment methods can effectively balance the quantity and cost of medical services,while pay-for-performance is generally outstanding in improving quality.Conclusions:It is difficult for a single payment method to achieve the optimization of medical service delivery behavior and outcomes.A mixed payment system that integrates multiple payment methods with quality incentives must be established urgently.At the same time,it is recommended to deepen the reform of the mechanism for converting medical insurance balance into physician compensation,fully implement the allocation autonomy of public hospitals,and accelerate the establishment of a mixed physician payment method that is coordinated with medical insurance payment and performance appraisal.

Objective To analyze the sleep problems and temperament characteristics of children aged 12-35 months so as to understand the relationship between the sleep problems and temperament in early childhood.Methods 129 toddlers with sleep problems and 129 normal controls were selected.The brief infant sleep questionnaire(BISQ)was used to investigate children's sleep problems and the temperament questionnaire was used to investigate their temperament characteristics.The influence of temperament on sleep problems was analyzed by Logistic regression analysis.Results The temperament types of children aged 12 to 35 months with sleep problems were mainly easy to cultivate and moderately easy to cultivate.There was a statistically significant difference(P<0.05)in the comparison of easily cultivating temperament types between the children with the sleep problems and the control group;Compared with the control group,there were statistically significant differences(P<0.05)in the five dimensions of avoidance,adaptability,emotional essence,persistence,and attention dispersion among children with sleep problems.Compared with the temperament type of easy to cultivate,the proportion of sleep problems in children intermediately easy to cultivate and slow to start was higher(both P<0.05)Conclusion There is a certain relationship between the sleep problems and temperament types in children aged 12 to 35 months.Early understanding of sleep problems and temperament characteristics of toddlers can guide parents to adjust their education methods in time,give parents"individualized"sleep guidance and intervention,reduce the occurrence of long-term development problems and promote the healthy physical and mental development of toddlers.

Objective:To systematically analyze the impact of various physician payment methods on medical service delivery behavior and outcomes.Methods:Based on the scoping review method,2 255 documents related to"physician","compensation","payment method",and"physician behavior"were retrieved from Web of Science,CNKI,VIP,and WanFang databases,and finally 70 studies were included based on scientific screening standards and process.Results:Fee-for-service encourages physicians to deliver an adequate volume of services but is susceptible to overtreatment;salary and capitation assist in controlling costs but can lead to insufficient service provision;the advantages of DRG/DIP in the quantity and quality of medical services weaken as the patient's condition worsens.Mixed payment methods can effectively balance the quantity and cost of medical services,while pay-for-performance is generally outstanding in improving quality.Conclusions:It is difficult for a single payment method to achieve the optimization of medical service delivery behavior and outcomes.A mixed payment system that integrates multiple payment methods with quality incentives must be established urgently.At the same time,it is recommended to deepen the reform of the mechanism for converting medical insurance balance into physician compensation,fully implement the allocation autonomy of public hospitals,and accelerate the establishment of a mixed physician payment method that is coordinated with medical insurance payment and performance appraisal.

Objective:To evaluate the prevalence of hepatitis C virus (HCV) infection among patients attending a comprehensive tertiary hospital in Beijing and to pinpoint the key demographics for anti-HCV screening.Methods:A comprehensive retrospective analysis was undertaken, examining data from 631 424 patients who underwent anti-HCV testing between 2017 and 2023. Testing for anti-HCV was conducted using the Abbott i2000 fully automated chemiluminescent immunoassay analyzer. HCV nucleic acid testing was performed with the Roche Cobas AmpliPrep/Cobas TaqMan 96 fluorescent quantitative PCR system, while HCV genotyping was achieved through sequencing.Results:The positive rate of HCV antibodies demonstrated a gradual decline over the years, decreasing from 1.62% in 2017 to 1.01% in 2023. The overall positive rate stood at 1.36% (8 574/631 424), with a nucleic acid testing rate of 59.24% (5 079/8 574) and a nucleic acid positive rate of 34.28% (1 741/5 079). The majority of anti-HCV positive patients came from the department of hepatology (12.17%), followed by hepatobiliary surgery (3.03%), emergency medicine (1.68%), cardiovascular medicine (1.24%) and ophthalmology clinic (1.23%). Notably, the anti-HCV positive rate was significantly elevated in the ≥40 years old group compared to the <40 years old group, with statistical significance ( χ2=1 892.577, P=0.000). The highest anti-HCV positive rates were observed within the 60-69- and 80-99-years old brackets (both at 1.85%), while the peak HCV RNA positive rate was recorded in the 50-59 years old group (27.08%). Females exhibited a significantly higher positive rate (18.53%) than males (15.75%) ( χ2=8.066, P<0.01). When anti-HCV levels surpassed 9 S/CO, the HCV RNA positive rate was notably high, exceeding 38.97%. Intriguingly, at antibody levels ranging from 15 to 16 S/CO, the HCV RNA positive rate climbed to a maximum of 56.17%. Conclusions:This study has successfully identified the key populations for anti-HCV screening: Patients aged over 40, particularly female patients within the 50-69 age bracket; Patients in hepatology, hepatobiliary surgery, emergency medicine, cardiovascular medicine and ophthalmology departments.

Objective To establish dynamic nomogram models for postoperative recurrence and survival risk of patients with AFP-negative hepatocellular carcinoma(ANHC)based on multimodal clinical data,to identify ANHC-specific prognostic biomarker combinations by integrating tumor biological characteristics and treatment response parameters through machine learning,and to provide an individualized risk assessment tool for overcoming the limitations of traditional serum biomarkers.Methods A retrospective analysis was performed for 421 ANHC patients who underwent hepatectomy in Eastern Hepatobiliary Surgery Hospital from April 2012 to December 2018,and they were randomly divided into training group with 210 patients and validation group with 211 patients.The univariate and multivariate Cox proportional-hazards regression models were used to identify independent prognostic factors and establish a nomogram model,and the receiver operating characteristic(ROC)curve,the calibration curve,and the decision curve analysis were used to assess the performance of the model.Related indicators were measured,including prealbumin(PA),white blood cell count(WBC),tumor size,and microvascular invasion.The chi-square test or the Fisher's exact test was used for comparison of categorical variables between two groups,and the independent-samples t test or the Mann-Whitney U test was used for comparison of continuous variables between two groups.Results The multivariate analysis showed that multiple tumors(hazard ratio[HR]=3.30,P<0.001),WBC(HR=1.05,P=0.005),blood glucose(HR=1.15,P=0.026),CA19-9(HR=1.17,P=0.005),and tumor size(HR=1.17,P<0.001)were independent risk factors for disease-free survival(DFS),while PA(HR=0.99,P=0.022)was a protective factor.Incomplete tumor capsule(HR=0.60,P=0.009),age(HR=1.02,P=0.035),prothrombin time(PT)(HR=1.27,P=0.023),CA19-9(HR=1.01,P<0.001),and tumor size(HR=1.15,P<0.001)were independent risk factors for overall survival(OS).The DFS nomogram achieved an AUC of 0.74(95%confidence interval[CI]:0.64-0.84)in the training group and 0.67(95%CI:0.57-0.77)in the validation group,while the OS nomogram had an AUC of 0.76(95%CI:0.64-0.88)and 0.73(95%CI:0.60-0.87),respectively.The calibration curve and the decision curve analysis showed that the models had good predictive accuracy and clinical practicability.Conclusion Preoperative indicators,including tumor number,PA,WBC,and tumor size,can effectively predict postoperative recurrence in ANHC patients,while tumor capsule integrity,age,and PT are significantly associated with OS.The nomogram models established have good performance and can provide a basis for individualized prognostic assessment.