Objective: To investigate the relationship among physical activity, sleep duration and screen time and overweight and obesity among children and adolescents in Beijing Tianjin Hebei region, and to provide reference for children and adolescents in Beijing Tianjin Hebei region to maintain healthy physique. Methods: In November 2019, 4 262 primary and secondary school students in Beijing Tianjin Hebei region were surveyed on physical activity, sleep status and screen time according to the physical activity guidelines for children and adolescents, and the relationship between overweight and obesity was analyzed by Logistic regression. Results: The prevalence of overweight and obesity among children and adolescents in Beijing Tianjin Hebei region was 22.03%. The positive rate of overweight was 12.01% and obesity was 10.02%. The prevalence of overweight and obesity in male students (26.09%) was higher than that in female students (17.88%), the difference was statistically significant ( χ 2=41.77, P < 0.01 ). The prevalence of overweight and obesity in urban children (24.09%) and Han children (22.74%) was significantly higher than that in rural areas (21.05%) and ethnic minorities (17.70%) ( χ 2=5.00, 7.63, P <0.05). The proportion of children who met physical activity, screen time and sleep duration guideline was 24.85%, 38.69% and 57.09%, respectively. A total of 21.68% of children and adolescents did not meet the guideline of physical activity, screen time and sleep duration, among which 42.80% and 28.77% met the guideline for one or two out of three behaviors, respectively. Only 6.76% of children and adolescents met the guideline of all three behaviors. Logistic regression analysis showed that the risk of overweight and obesity was negatively correlated with sleep duration ( OR=0.72, 95%CI =0.52-0.98). The risk of overweight and obesity was lower in patients with 2 criteria than in those with less sleep duration and less screen time ( OR=0.57, 95%CI =0.36-0.87). Conclusion Percentage of sufficient physical activity among children and adolescents in Beijing Tianjin Hebei region is low, and ensuring sufficient sleep duration is helpful for overweight and obesity prevention. The impact of sleep duration and screen time on overweight and obesity in children and adolescents should be considered in childhood obesity prevention and control.

This article was aimed to study the chemical constituents in Tragopogon porrifolius L. and their activities by pharmacological experiment in order to provide evidences in the further development of the usage of this medical resource. Under the guidance of pharmacological activities screening results, compounds were isolated by repeated silica gel, macroporous resin column chromatography and HPLC. Their structures were identified by means of UV, IR, MS, NMR and other chemical evidences. The results showed that T. porrifolius L. (i.e., n-butanol extraction part) can increase survival time of mice in the oxygen-lacking state (P < 0.05). Two compounds of biological alkaloids, which were identified as 1,2,3,4-tetrahydro-β-carboline-3-carboxylic acid (Ⅰ) and adenine (II), were isolated. It was concluded that compound Ⅰ and II were obtained from T. porrifolius L. for the first time.

OBJECTIVE:To establish a reasonable return level for Chinese pharmaceutical industry and to study the return level of the domestic pharmaceutical industry from 2000 to 2005.METHODS:In view of the financial data of Chinese pharmaceutical industry in the statistical yearbook from 2001 to 2006,the return level for Chinese pharmaceutical industry was established based on its risk level using the principle of "risk-return equilibrium",and the rationality of the return level of Chinese pharmaceutical industry over the 6 years was validated as well.RESULTS:Over the 6 years,the average lowest anticipating rate of return for the Chinese medicine industry was 7.72% and the actually average assets income rate stood at 8.53%,i.e.the average abnormal return rate over the 6 years was 0.81%.CONCLUSION:The return rate of Chinese pharmaceutical industry corresponds to the risk level as well as the reasonable return level.

OBJECTIVE:To probe into the profits level and profits-gaining capability of Chinese pharmaceutical industry.METHODS:Based on the data recorded in yearbooks between 2001 and 2006,the profits levels were compared between Chinese pharmaceutical industry and China social average assets,other industries in China and overseas pharmaceutical industry.RESULTS:Between 2000～ 2005,the profits level of Chinese pharmaceutical industry was lower than that of Chinese social average assets,i.e.the profit-gaining capability of Chinese pharmaceutical industry was lower than that of China social average assets.Between 2002～ 2004,the profits level of Chinese pharmaceutical industry ranked at the first 10 places among the 39 industries,but dropped far behind in 2005,meanwhile the number of pharmaceutical enterprises who suffered loss increased greatly.CONCLUSION:The prospect for the development of Chinese pharmaceutical industry and the industry environment they confronted are far from optimistic.

Alpha-fetoprotein producing gastric cancer (AFPGC) is a special type of gastric cancer. AFPGC is considered to be the most highly invasive tumor with a high degree of malignancy and prone to metastasis. As a consequence, it usually causes unsatisfied treatment effect and the prognosis is poor. At present, treatment methods and monitoring indicators have limited effect on AFPGC. VEGF, HER2, AFP, GPC3 and SALL4 are cogently associated with tumor genesis and development. If we can reasonably guide the treatment and prognosis of AFPGC patients, it will greatly improve the situation of patients and improve the survival of patients. This article reviews the research progress of the genes related to the treatment and prognosis of AFPGC.

Objective To establish a method for simultaneous determination of HPLC fingerprint and multi-target ingredients in Atractylodis Macrocephalae Rhizoma(AMR),in order to provide reference for its quality control.Methods HPLC-DAD multi-wavelength switching method was used to establish fingerprint of AMR,similarity evaluation combined with hierarchical clustering analysis(HCA),principal components analysis(PCA)and discriminant analysis of partial least squares(PLS-DA)were used to carry out chemometric study.The contents of differential component such as atractylenolide Ⅰ,Ⅱ,Ⅲ and atractylon were determined simultaneously.Results The HPLC fingerprint of 37 batches of AMR was established.Nine common peaks were marked,and 4 of them were identified as atractylon,atractylenolide Ⅰ,Ⅱ,Ⅲ.The similarity degrees were between 0.539 and 0.996,the quality of AMR from different origin and different batches varies greatly.Atractylon,atractylenolide Ⅰ,Ⅱ,Ⅲ and one unknown component(peak 9)are the important factors affecting the quality of AMR.Conclusion The combination methods of HPLC fingerprint and simultaneous determinations of multiple components are simple,stable,accurate and reliable,which can provide reference for the quality evaluation of AMR and the improvement of quality standard,as well as lay a foundation for the basic research of its pharmacodynamic substances and related compound.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.

Background/Aims: The World Health Organization set the goal of eliminating hepatitis C virus (HCV) by 2030, with 80% and 65% reductions in HCV incidence and mortality rates, respectively. We aimed to evaluate the health benefits, cost-effectiveness and return on investment (ROI) of HCV elimination. Methods: Using an HCV transmission compartmental model, we evaluated the benefits and costs of different strategies combining screening and treatment for Chinese populations. We identified strategies to achieve HCV elimination and calculated the incremental cost-effectiveness ratios (ICERs) per disability-adjusted life year (DALY) averted for 2022–2030 to identify the optimal elimination strategy. Furthermore, we estimated the ROI by 2050 by comparing the required investment with the economic productivity gains from reduced HCV incidence and deaths. Results: The strategy that results in the most significant health benefits involves conducting annual primary screening at a rate of 14%, re-screening people who inject drugs annually and the general population every five years, and treating 95% of those diagnosed (P14-R4-T95), preventing approximately 5.75 and 0.44 million HCV infections and deaths, respectively, during 2022–2030. At a willingness-to-pay threshold of $12,615, the P14-R4-T95 strategy is the most cost-effective, with an ICER of $5,449/DALY. By 2050, this strategy would have a net benefit of $120,997 million (ROI=0.868). Conclusions Achieving HCV elimination in China by 2030 will require significant investment in large-scale universal screening and treatment, but it will yield substantial health and economic benefits and is cost-effective.

Objective:To evaluate the role of histogram analysis based on amide proton transfer weighted (APTw) and apparent diffusion coefficient (ADC) imaging in predicting alpha-thalassemia/mental retardation syndrome X-linked ( ATRX) mutation in isocitrate dehydrogenase ( IDH)-mutant WHO grading 2/3 gliomas. Methods:Seventy-eight patients with IDH-mutant WHO grading 2/3 gliomas, admitted to and confirmed by surgical pathology in Department of Functional Neurosurgery, Neurosurgery Center, Zhujiang Hospital, Southern Medical University from June 2017 to October 2023, including 52 with ATRX wild and 26 with ATRX mutant-type, were selected. Preoperative 3D-APTw and ADC imaging data were collected; after post-processing, the lesions were segmented using lesion outlining method based on inclusion of peri-tumor edema and lesion outlining method based on tumor entity, respectively; after that, the histogram features (the 10 th percentile, 90 th percentile, maximum, mean, median, minimum, skewness, kurtosis, entropy, range, uniformity, and variance) were extracted from 3D-APTw and ADC imaging, respectively. Univariate Logistic regression was used to compare the differences in histogram features between patients in the ATRX mutant group and ATRX wild-type group, and multivariate Logistic regression was used to screen the independent predictors for ATRX mutation (a Logistic regression prediction model was constructed). Predictive values of independent predictors and Logistic regression prediction models in ATRX mutation were evaluated by receiver operating characteristic (ROC) curve. Results:(1) With lesion outlining method based on inclusion of peri-tumor edema, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw minimum, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity, and ADC entropy ( P<0.05). With lesion outlining method based on tumor entity, univariate analysis indicated significant difference between ATRX mutant group and ATRX wild-type group in 9 histogram features: relative 3D-APTw 90 th percentile, 3D-APTw skewness, relative ADC 90 th percentile, relative ADC mean, relative ADC median, ADC kurtosis, ADC skewness, ADC uniformity and ADC entropy ( P<0.05). (2) With lesion outlining method based on inclusion of peri-tumor edema, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were the independent predictor for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.168, 95% CI: 0.034-0.800, P=0.025; OR=0.508, 95% CI: 0.319-0.807, P=0.004). The constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.827-1.785×3D-APTw skewness-0.678×ADC kurtosis). With lesion outlining method based on tumor entity, multivariate Logistic regression showed that 3D-APTw skewness and ADC kurtosis were independent predictors for ATRX mutation in IDH mutant WHO grading 2/3 glioma patients ( OR=0.164, 95% CI: 0.034-0.791, P=0.024; OR=0.496, 95% CI: 0.312-0.788, P=0.003); the constructed Logistic regression prediction model was P(Y=1|X)=1/1+e -(1.585-1.810×3D-APTw skewness-0.702×ADC kurtosis). (3) ROC curve analysis showed that, with lesion outlining method based on inclusion of peri-tumor edema, area under ROC curve (AUC) of 3D-APTw skewness and ADC kurtosis was 0.725 (95% CI: 0.608-0.842, P=0.001) and 0.794 (95% CI: 0.685-0.904), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.836 (95% CI: 0.729-0.942, P<0.001), and its sensitivity and specificity were 73.10% and 90.40% when the best threshold was 0.505. ROC curve showed that, with lesion outlining method based on tumor entity, AUC of 3D-APTw skewness and ADC kurtosis was 0.705 (95% CI: 0.587-0.823, P=0.003) and 0.808 (95% CI: 0.704-0.913), respectively ( P<0.001); AUC of Logistic regression prediction model was 0.844 (95% CI: 0.739-0.949, P<0.001), and its sensitivity and specificity were 84.60% and 80.80% when the best threshold was 0.399. Conclusion:Histogram analysis based on 3D-APTw and ADC imaging can predict ATRX mutation in IDH mutant WHO grading 2/3 gliomas to a certain extent.