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Objective@#To investigate the prospective effects of intake of each food group on the development of lung function of pupils,so as to provide theoretical basis for promoting the healthy development of lung function and preventing chronic respiratory diseases in Chinese children.@*Methods@#A cluster stratified sampling method was used to select a total of 893 pupils in grades 2-5 from Chengdu in November 2021. Dietary data of respondents were collected using a food frequency questionnaire within the past year,then the food group intake was categorized into T1, T2 and T3 from low to high by the trichotomous method, and anthropometric measurements including lung capacity were obtained in 2022. Logistic regression models and test for trend were used to analyze the prospective effects of intake of each food group on lung function development of pupils.@*Results@#Among male students, consumption of vegetables [118.6(50.5, 188.2)g/d] and milk and dairy products [200.0(73.3, 250.0)g/d] were higher in the excellent lung capacity group than in the non excellent lung capacity group [90.0(37.1, 192.9), and 178.6(35.7, 250.0)g/d],with statistically significant differences ( Z =-1.98, -2.24); among girls, the group with excellent lung capacity consumed less staple food [391.1(273.6, 511.4)g/d] than the group with non excellent lung capacity [407.4(309.5, 594.3)g/d], and the group with excellent lung capacity consumed more aquatic products [31.2(14.6, 69.8)g/d] and milk and dairy products [215.0(107.1, 250.1) g/d ] than that of the non excellent lung capacity [19.4(10.7, 58.3), 114.3(35.7, 250.0)g/d] ( Z =-2.01, -3.33, -5.10)( P < 0.05 ). After adjusting for energy, body mass index Z score(BMI Z ), mother s education level, averge family income monthly, whether presence of smokers in the living environment, and whether participation in physical activities during the past week, among male students, T3 group of vegetable intake ( OR =0.48, 95% CI = 0.27-0.86), T2 group of bean and soy product intake ( OR = 0.52 , 95% CI =0.27-0.96)，T2 and T3 groups of milk and dairy products intake (T2： OR =0.54, 95% CI =0.31-0.93; T3： OR = 0.52 , 95% CI =0.30-0.90) were negatively associated with non excellent lung capacity ( P <0.05). Among girls, T3 group of aquatic product intake( OR =0.52, 95% CI =0.28-0.97), T2 and T3 groups of milk and dairy product (T2: OR =0.44, 95% CI =0.25- 0.76 ;T3: OR =0.33, 95% CI =0.19-0.59) were negatively associated with nonexcellent lung capacity, whereas the T2 group of red meat intake ( OR =2.51, 95% CI =1.37-4.67) was positively associated with non excellent lung capacity. Non excellent lung capacity was found to be negatively associated with vegetable and milk and dairy product intake in boys by test for trend; in girls, milk and dairy products intake was negatively associated with non excellent lung capacity, whereas red meat intake was positively associated with non excellent lung capacity ( t =-1.13，-0.44；-3.03，1.95, P trend <0.05).@*Conclusions@#Milk and dariy products intakes reduce the risk of non excellent lung capacity in pupils, vegetables intakes reduce the risk of non excellent lung capacity in boys, and the intake of red meat increases the risk of non excellent lung capacity in girls. Promoting rational food choices is necessary for children to improve healthy lung development.
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Objective:To establish the fingerprints of Plantaginis Herba.Methods:The fingerprints were determined by UPLC. The peak areas of fingerprints of different parts and origins were analyzed by variance analysis and independent sample t-test. PCA, HCA, PLS-DA and other chemical patterns were analyzed by Simca14.1. The index weight was calculated by CRITIC, and the quality of plantain evaluation was combined with grey correlation degree.Results:The fingerprints of grass, stem, leaf and spike of Plantago depressa Willd. calibrated for 24, 16, 23 and 22 common peaks. The fingerprints of grass, stem, leaf and spike of Plantaginis Herba calibrated for 22, 10, 16 and 22 common peaks, and the fingerprints of commercial mixed plantain calibrated for 23 common peaks. 10 peaks were identified. The analysis of variance showed that there were differences in chromatographic peak areas between different parts of Plantago asiatica L. and Plantago depressa Willd.. And combinedede with PLS-DA, it showed that there were 16 important characteristic indexes in the classification, and the importance ranking was peak 3, 8, 28, 12, 14, 7, 5, 17, 6, 19, 23, 11, 22, 27, 9, 16. The quality evaluation results of critical method combined with grey correlation degree showed that among Plantago depressa Willd., Plantago asiatica L. and commercial mixed plantain herbs, the quality of Plantago asiatica L. was the best. Conclusion:The mixture of plantain exists in the market. The fingerprints established in this study can be used for the identification and quality evaluation of Plantaginis Herba from different sources.
ABSTRACT
Physiologically based pharmacokinetic (PB-PK) model simulates the circulation of blood flow in systemic organs by using mathematical model to quantitatively describe the behavior characteristics of drugs in the body. The application of PB-PK model to special population to predict the pharmacokinetic behavior of drugs in special populations can provide support for clinical rational drug use. In recent years, chronic liver disease has gradually become an important health problem. Due to the impairment of patients' liver function, the disposal process of drug in vivo will change to some extent. Therefore, it is necessary to evaluate the impact of liver dysfunction on the drug absorption, distribution, metabolism, elimination (ADME) in order to ensure the safety and effectiveness of drug use. PB-PK model can accurately determine the ADME process of drugs in patients according to the level of liver function, and play an important role in guiding clinical rational drug use. This review will start from the impact of liver function on the process of drug ADME, summarize and discuss how PB-PK model can build a model according to the physiological and pathological changes of patients with liver dysfunction for more accurate extrapolation prediction.