Understory planting of medicinal plants is a new planting mode that connects Chinese herbal medicine(CHM) with forest resources.The complex and variable understory environmental factors will inevitably affect the yield and quality of understory CHM.This research summarized the research progress on understory planting of medicinal plants based on forest types and environmental factors within the forest from the perspectives of understory light, air temperature and humidity, soil characteristics, and the interaction between crops within the forest.The results showed that the complex and variable light, temperature and humidity, and soil factors(such as fertility, acidity and alkalinity, and microorganisms) under the forest could affect the yield and quality of medicinal plants to varying degrees through physiological activities such as photosynthesis and respiration, resulting in a significant increase or decrease in yield and quality compared to open field cultivation.In addition, the competition or mutual benefit between different crops within the forest could lead to differences in the yield and quality of understory medicinal plants compared to open field cultivation.A reasonable combination of planting could achieve resource sharing and complementary advantages.Therefore, conducting systematic research on the effects of understory environmental factors on the yield and content of medicinal plants with different growth and development characteristics can provide theoretical guidance and technical references for formulating comprehensive strategies for understory planting of medicinal plants, such as selecting suitable medicinal plant varieties, optimizing planting density, and conducting reasonable forest management, thus contributing to the sustainable development and ecological protection of CHM.
Plants, Medicinal/growth & development* ; Forests ; Soil/chemistry* ; Environment ; Ecosystem ; Temperature

Acute lung injury(ALI) is a critical clinical condition primarily characterized by refractory hypoxemia and infiltration of inflammatory cells in lung tissue, which can progress into a more severe form known as acute respiratory distress syndrome(ARDS). Immune cells and inflammatory cytokines play important roles in the progression of the disease. Due to its unclear pathogenesis and the lack of effective clinical treatments, ALI is associated with a high mortality rate and severely affects patients' quality of life, making the search for effective therapeutic agents particularly urgent. Ginseng Radix et Rhizoma, the dried root of the perennial herb Panax ginseng from the Araliaceae family, contains active ingredients such as saponins and polysaccharides, which possess various pharmacological effects including anti-tumor activity, immune regulation, and metabolic modulation. In recent years, studies have shown that ginsenosides exhibit notable effects in reducing inflammation, ameliorating epithelial and endothelial cell injury, and providing anticoagulant action, indicating their comprehensive role in alleviating lung injury. This review summarizes the pathogenesis of ALI and the molecular mechanisms through which ginsenosides act at different stages of ALI development. The aim is to provide a scientific reference for the development of ginsenoside-based drugs targeting ALI, as well as a theoretical basis for the clinical application of Ginseng Radix et Rhizoma in the treatment of ALI.
Ginsenosides/pharmacology* ; Humans ; Acute Lung Injury/immunology* ; Animals ; Panax/chemistry* ; Drugs, Chinese Herbal

Objective To explore the application of the Autoregressive Integrated Moving Average (ARIMA) model in predicting the number of reported hepatitis E cases in Yunnan Province，to use this model to predict the incidence trend of hepatitis E, and to provide reference for the scientific prevention and control of hepatitis E. Methods Monthly reported cases of hepatitis E in Yunnan Province from 2012 to 2021 were collected. The ARIMA model was established using SPSS 27.0, and the model was validated and parameters were optimized with data from January 2022 to December 2022. The optimal fitting model was used to predict the incidence of hepatitis E in 2023. Results Hepatitis E incidence in Yunnan Province showed a certain seasonal distribution, with most cases concentrated from March to August. All parameters of ARIMA(3,1,4)(1,1,1)₁₂ passed statistical tests. The Ljung-Box test showed statistic Q =10.050, P = 0.346, residual sequence was a white noise sequence, and goodness-of-fit index stationary R² was 0.591. The model extrapolation effect was verified with 2022 data, and MAPE was 14.747, indicating that the model extrapolation effect was effective. The number of hepatitis E cases in Yunnan Province in 2023 was expected to be 1,086. Conclusion The ARIMA (3,1,4)(1,1,1)₁₂ model shows good fitting performance for hepatitis E cases in Yunnan Province and can effectively predict short-term disease trends, providing a theoretical basis for formulating prevention and control measures for hepatitis E.

Objective:To study the association between subtypes of hypertension and risk for all-cause mortality and cardio-cerebrovascular mortalities in the elderly in communities of Beijing.Methods:The data were collected from the Beijing Healthy Aging Cohort Study. The elderly in 5 urban areas (former Xicheng, former Xuanwu, Fangshan, Haidian and Tongzhou) and 4 rural areas (Yanqing, Miyun, Huairou and Daxing) in Beijing were selected as the study subjects by multi-stage stratified cluster random sampling. The baseline survey was conducted from July 2009 to September 2015. The follow-up was conducted until March 31, 2021, and a total of 6 326 participants were enrolled. Cox proportional hazard regression model was used to analyze the association of SBP, DBP, normal blood pressure, high normal blood pressure, simple systolic hypertension, simple diastolic hypertension and systolic diastolic hypertension with all-cause mortality and cardio-cerebrovascular mortality.Results:By March 31, 2021, the median follow-up time was 6.30 years, the all-cause mortality density was 201.67/10 000 person-years, and the cardio-cerebrovascular mortality density was 90.20/10 000 person-years. Multivariate Cox proportional hazard regression model analysis showed that the risk for all-cause mortality increased by 5.6% ( HR=1.056, 95% CI: 1.020-1.092), and the risk for cardio-cerebrovasculvar mortality increased by 12.5% ( HR=1.125, 95% CI: 1.071-1.182) for every 10 mmHg increase in SBP. The risk for all-cause mortality increased by 8.6% ( HR=1.086, 95% CI: 1.023-1.152), and the risk for cardio-cerebrovascular mortality increased by 19.9% ( HR=1.199, 95% CI: 1.101-1.306) for every 10 mmHg increase in DBP. Compared with the normal blood pressure group, the risk for all-cause mortality increased by 64.8% ( HR=1.648, 95% CI: 1.049-2.591) and the risk for cardio- cerebrovascular mortality increased by 112.8% ( HR=2.128, 95% CI: 1.069-4.233) in the simple diastolic hypertension group. The risk for all-cause mortality increased by 34.4% ( HR=1.344, 95% CI: 1.023-1.467) and the risk for cardio-cerebrovascular mortality increased by 111.3% ( HR=2.113, 95% CI: 1.384-3.225) in the systolic-diastolic hypertension group. Conclusions:In the elderly in communities of Beijing, beside systolic-diastolic hypertension. It is necessary to pay close attention to the simple diastolic hypertension, which has lower prevalence, and give targeted prevention and treatment.

Objective:To investigate the association of urinary albumin-to-creatinine ratio (UACR) in normal range and cardiovascular health (CVH) score with cardio-cerebroascular and all-cause mortality in urban elderly residents in Beijing.Methods:Based on Beijing Healthy Aging Cohort Study, data from 1 817 elderly participants with normal UACR were analyzed, and UACR was used as both continuous and categorical variable. "Life's Essential 8" was used to develop a CVH score. Statistical analysis was performed by using software SPSS 26.0 and R 4.2.1, including two independent samples t-test, χ2 test and non-parametric test. Multivariable Cox proportional hazard regression models stratified by CVH score and the restricted cubic spline were used to analyse the association of UACR with the risk for cardio-cerebrovascular and all-cause mortality. Results:By March 31, 2021, the median follow-up time M ( Q1, Q3) was 11.28 (10.84, 11.36) years, a total of 308 deaths were recorded during follow-up, and the mortality density was 163.87/10 000 person-years. The age of the participants was (71.4±6.6) years, and 1 070 participants were women. The results showed that the risk for both cardio-cerebrovascular disease and all-cause mortality decreased with the decrease of UACR in the low CVH score group ( HR=0.500, 95% CI: 0.341-0.734; HR=0.793, 95% CI: 0.647-0.971), and in the high CVH score group, there was a decreasing trend in the risk for cardio-cerebrovascular mortality with the decrease of UACR ( HR=0.665, 95% CI: 0.447-0.990). Compared with the participants with low CVH score and higher UACR, the risk for cardio-cerebrovascular and all-cause mortality decreased by 68.9% and 45.6%, respectively, in the participants with high CVH score and lower UACR ( HR=0.311, 95% CI: 0.131-0.739; HR=0.544, 95% CI: 0.360-0.822), and the risk for all-cause mortality decreased by 26.7% in the participants with high CVH score and higher UACR ( HR=0.733, 95% CI: 0.542-0.993). Conclusions:In urban elderly residents in Beijing, higher UACR were associated with a significantly increased risk for cardio-cerebrovascular and all-cause mortality, and in the low-CVH score group, decreased UACR was protective factor against cardio-cerebrovascular and all-cause mortality. The combined effect of cardiovascular health status and normal UACR had a greater protection against the risk for cardio-cerebrovascular and all-cause mortality.

Objective:To describe and analyze the distribution characteristics of a body shape index (ABSI) and its association with all-cause mortality in the elderly in communities of Beijing.Methods:The baseline and follow-up data of 10 423 subjects in Beijing Healthy Aging Cohort Study were used. The endpoint outcome was all-cause mortality in follow-up. The associations of ABSI, BMI and waist circumference with all-cause mortality were analyzed with a Cox proportional hazard regression model.Results:The mean follow-up time in this cohort was 6.36 years and the all-cause mortality was 15.27%. The restricted cubic spline results showed that ABSI showed a "U" association with all-cause mortality in the total population. After adjustment for confounding factors, compared with the normal ABSI group, the risk for all-cause mortality was higher in the low ABSI group ( HR=1.69, 95% CI: 1.32-2.17) and high ABSI group ( HR=1.75, 95% CI: 1.40-2.18). Compared with the normal BMI group, low BMI was associated with an increased risk for all-cause mortality ( HR=1.70, 95% CI: 1.40-2.08). Compared with the normal waist circumference group, central obesity was associated with a decreased risk for all-cause mortality ( HR=0.89, 95% CI: 0.80-0.99). The results of gender specific analysis on ABSI association with all-cause mortality were similar to that in total population, but the strength of association varied among different age groups. Cross-grouping results showed that older people with normal BMI and waist circumference and abnormal ABSI had an increased risk of all-cause mortality ( HR=1.91, 95% CI: 1.22-2.99). Conclusions:In Beijing, ABSI is correlated with the risk for all-cause mortality in the elderly population, which is more sensitive and specific than the traditional indicators (BMI and waist circumference). They can be used as one of the physical measurement indicators for all-cause mortality risk prediction in the health risk assessment and management in the elderly.

Objective:To explore the association between physical activity (PA) level and all-cause mortality in the elderly with different obesity status in Beijing.Methods:The study subjects were from the Cardiovascular and Cognitive Healthy Study in Middle-Aged and Elderly Residents of Beijing, a total of 3 746 individuals aged ≥60 years in the baseline survey between 2013 and 2015 were included in the study. Questionnaire survey and physical examination were conducted to collect the basic information of the individuals. The metabolic equivalent of the elderly was used to calculate the PA level, and an international PA questionnaire was used to determine the PA intensity. BMI, waist-to-height ratio (WHtR) and a body shape index (ABSI) were used to evaluate individuals' obesity status. The distribution of different PA levels under different obesity states was described by using bar chart and cumulative percentage bar chart. Cox proportional hazard regression model was used to analyze the correlation between the level of PA and all-cause mortality risk in different types of obesity status.Results:By December 31, 2019, the median follow-up time was 5.46 years, and the mortality density was 244.55/10 000 person-years. Compared with the individuals in high-PA intensity group, the all-cause mortality risk increased by 41% ( HR=1.41, 95% CI: 1.14-1.76) and 122% ( HR=2.22, 95% CI: 1.76-2.81), respectively, in moderate and low PA intensity groups. Compared with the individuals in high-PA intensity-high-obesity group, based on the BMI, the all-cause mortality risk increased by 85% ( HR=1.85, 95% CI: 1.08-3.16) and 250% ( HR=3.50, 95% CI: 2.01-6.10) in those in moderate-PA intensity-high-obesity group and in low-intensity-high-obesity group. Based on the WHtR, the all-cause mortality risk increased by 53% ( HR=1.53, 95% CI: 1.02-2.29) and 218% ( HR=3.18, 95% CI: 2.09-4.86), respectively, in those with moderate-PA intensity-high-obesity and those with low-PA intensity-high-obesity. According to the ABSI, the all-cause mortality risk increased by 120% in those in low-PA intensity-high-obesity group ( HR=2.20, 95% CI: 1.53-3.18). Based on any one of the indicators BMI, WHtR, or ABSI, there was no significant difference in all-cause mortality risk between high-intensity-moderate-obesity group and high-intensity-low-obesity group (all P>0.05). Conclusions:PA level is closely associated with the all-cause mortality risk in the elderly in communities of Beijing. Increasing PA level can not only reduce the all-cause mortality risk but also reduce even eliminate the excess all-cause mortality risk associated with obesity.

Objective:To analyze the association between different lipid indicators and cardio-cerebrovascular mortality in the elderly, identify a better lipid indicator for the risk for cardio-cerebrovascular mortality in the elderly in communities of Beijing.Methods:The elderly aged 60 years and above were selected from the Beijing Healthy Aging Cohort Study from July 2009 to September 2015. Remnant cholesterol (RC) was derived by calculation. The Cox proportional hazard regression models determined the HR and 95% CI incidating the associations of baseline different lipid indicators with cardio-cerebrovascular and all-cause mortality. Results:By March 31, 2021, with a mean follow-up duration of 6.88 years in the study population, a total of 492 cardio-cerebrovascular deaths and 1 056 all-cause deaths wre recorded. The HR values indicating the association between LDL-C, HDL-C, and RC were 0.87 (95% CI: 0.78-0.97), 0.46 (95% CI: 0.35-0.62), and 1.29 (95% CI: 1.14-1.45) for cardio-cerebrovascular mortality, respectively, and 0.93 (95% CI: 0.86-1.00), 0.66 (95% CI: 0.55-0.80) and 1.22 (95% CI: 1.12-1.33) for all-cause mortality. The associations of RC and HDL-C with cardio-cerebrovascular mortality were consistent regardless of hyperlipidemia in the elderly. Subgroup analyses showed that elevated RC was associated with increased risk for cardio-cerebrovascular mortality, and elevated HDL-C was associated with decreased risk for cardio-cerebrovascular mortality in the elderly in different gender, age, smoking status, drinking status, and diabetes status groups in communities of Beijing. Conclusion:RC might be a better potential lipid indicator for the risk for cardio-cerebrovascular mortality in the elderly in communities compared with traditional cholesterol indicator.

OBJECTIVE: To identify the underlying mechanism by which quercetin (Que) alleviates sepsis-related acute respiratory distress syndrome (ARDS). METHODS: In vivo, C57BL/6 mice were assigned to sham, cecal ligation and puncture (CLP), and CLP+Que (50 mg/kg) groups (n=15 per group) by using a random number table. The sepsisrelated ARDS mouse model was established using the CLP method. In vitro, the murine alveolar macrophages (MH-S) cells were classified into control, lipopolysaccharide (LPS), LPS+Que (10 μmol/L), and LPS+Que+acetylcysteine (NAC, 5 mmol/L) groups. The effect of Que on oxidative stress, inflammation, and apoptosis in mice lungs and MH-S cells was determined, and the mechanism with reactive oxygen species (ROS)/p38 mitogen-activated protein kinase (MAPK) pathway was also explored both in vivo and in vitro. RESULTS: Que alleviated lung injury in mice, as reflected by a reversal of pulmonary histopathologic changes as well as a reduction in lung wet/dry weight ratio and neutrophil infiltration (P<0.05 or P<0.01). Additionally, Que improved the survival rate and relieved gas exchange impairment in mice (P<0.01). Que treatment also remarkedly reduced malondialdehyde formation, superoxide dismutase and catalase depletion, and cell apoptosis both in vivo and in vitro (P<0.05 or P<0.01). Moreover, Que treatment diminished the release of inflammatory factors interleukin (IL)-1β, tumor necrosis factor-α, and IL-6 both in vivo and in vitro (P<0.05 or P<0.01). Mechanistic investigation clarifified that Que administration led to a decline in the phosphorylation of p38 MAPK in addition to the suppression of ROS expression (P<0.01). Furthermore, in LPS-induced MH-S cells, ROS inhibitor NAC further inhibited ROS/p38 MAPK pathway, as well as oxidative stress, inflammation, and cell apoptosis on the basis of Que treatment (P<0.05 or P<0.01). CONCLUSION Que was found to exert anti-oxidative, anti-inflammatory, and anti-apoptotic effects by suppressing the ROS/p38 MAPK pathway, thereby conferring protection for mice against sepsis-related ARDS.
Animals ; Sepsis/drug therapy* ; Quercetin/therapeutic use* ; Respiratory Distress Syndrome/enzymology* ; p38 Mitogen-Activated Protein Kinases/metabolism* ; Mice, Inbred C57BL ; Reactive Oxygen Species/metabolism* ; Apoptosis/drug effects* ; Male ; Oxidative Stress/drug effects* ; MAP Kinase Signaling System/drug effects* ; Lung/drug effects* ; Mice ; Lipopolysaccharides ; Macrophages, Alveolar/pathology* ; Inflammation/pathology* ; Protective Agents/therapeutic use*