Objective:This study aims to investigate the effects of Zhibao Sanbian Pills on learning and memory ability and explore its mechanism.Methods:Cognitive decline and memory impairment in mice was induced by scopolamine. Morris water maze test, platform jumping test and dark avoidance test were used to evaluate the learning and memory ability of mice. TCMSP, TCMID database and literature search were used to search the chemical components of Zhibao Sanbian Pills. The potential active components were screened through ADMETlab 2.0. The targets were predicted by Swiss Target Prediction. GO function and KEGG pathway enrichment analysis were conducted through the Metascape database, and a PPI network was constructed for MCODE module analysis.Results:Compared with the model group, the latency of water maze test in the high-dose group of Zhibao Sanbian Pills was shortened ( P<0.05), and the time of platform quadrant and the number of crossing increased ( P<0.05). 863 active components and 401 potential targets of Zhibao Sanbian Pills were collected. The enrichment analysis of MCODE, GO and KEGG pathways found that the action pathways of Zhibao Sanbian Pills to improve cognitive impairment involve neuroactive ligand receptor pathway, calcium signal pathway, Rap1 signal pathway, PI3K-Akt signal pathway, MAPK signal transduction pathway, 5-hydroxytryptamine receptor pathway, etc. Conclusion:Zhibao Sanbian Pills have the potential to improve the learning and memory ability of mice, which may be realized through MAPK signaling pathway and other neural related signaling pathways.

Objective:To investigate the independent and combined effects of maternal smoking during pregnancy and offspring genetic susceptibility on overall cancer mortality.Methods:Based on the United Kingdom Biobank ( n=419 228) data, the Cox proportional hazard regression model was used to estimate the effect of maternal smoking during pregnancy on offspring overall cancer (including 16 cancers in men and 18 in women) mortality and its combined effect and interaction with offspring genetic factors. Results:Maternal smoking during pregnancy was significantly associated with a 13% increased risk of overall cancer mortality in men [hazard ratio( HR)=1.13, 95% CI: 1.06-1.20] and 19% increased risk in women ( HR=1.19, 95% CI: 1.11-1.27). Participants with high genetic risk had the highest overall cancer mortality than those with low genetic risk (men: HR=1.42, 95% CI: 1.30-1.55; women: HR=1.38, 95% CI: 1.25-1.52). Compared with participants without maternal smoking during pregnancy and low genetic risk, those with maternal smoking during pregnancy and high genetic risk were associated with a 56% increased risk of overall cancer mortality in men ( HR=1.56, 95% CI: 1.37-1.77) and 59% in women ( HR=1.59, 95% CI: 1.39-1.83). Conclusion:Maternal smoking during pregnancy may increase offspring overall cancer mortality and more severe harm in individuals with high genetic risk.

Objective:To investigate the impact of air pollution on dynamic changes in lung function and further explore the association between genetic factors and lung function and its changes.Methods:Research data were from 14 506 participants in the United Kingdom Biobank with two complete baseline and follow-up lung function tests. Particulate matter [including particulate matter with aerodynamic diameter ≤2.5 μm and ≤10 μm (PM 2.5 and PM 10)], nitrogen dioxide (NO 2), and nitrogen oxides (NO x) concentrations were estimated using land-use regression models. Annual changes in lung function were calculated based on baseline and follow-up lung function tests. Polygenic risk scores (PRS) of lung function [forced expiratory volume in the first second (FEV 1), forced vital capacity (FVC), and the ratio of FEV 1 to FVC (FEV 1/FVC)] were constructed by genetic variations. The association between air pollution concentrations and lung function changes was analyzed by multiple linear regression models, and the impact of genetic factors on lung function and its changes was also assessed. Results:PM 2.5, PM 10, NO 2, and NO x showed a negative correlation with FVC changes [PM 2.5: -6.66 (95% CI: -9.92- -3.40) ml/year; PM 10: -0.40 (95% CI: -0.77- -0.03) ml/year; NO 2: -1.84 (95% CI: -2.60- -1.07) ml/year; NO x: -1.37 (95% CI: -2.27- -0.46) ml/year]. Additionally, PM 2.5, PM 10and NO 2 were also negatively correlated with changes in FEV 1 [PM 2.5: -3.19 (95% CI: -5.79- -0.59) ml/year; PM 10: -3.00 (95% CI: -5.92- -0.08) ml/year; NO 2: -0.95 (95% CI: -1.56- -0.34) ml/year]. PRS of lung function were positively correlated with baseline lung function (FVC, FEV 1, and FEV 1/FVC) and lung function changes (all β>0, all P<0.001). In different PRS stratification analyses, the effect of air pollution on lung function changes remained significant, and there was no apparent heterogeneity. Conclusions:PRS of lung function are significantly associated with baseline and lung function changes. Long-term exposure to air pollution accelerates the decline of lung function indicators such as FVC and FEV 1. The effects of air pollution are consistent in individuals with different genetic risk scores.