1.Predictive value of anthropometric indicators for cardiovascular risk in metabolic syndrome
Qiyun LU ; Anxiang LI ; Benjian CHEN ; Qingshun LIANG ; Guanjie FAN ; Yiming TAO ; Ronghua ZHANG ; Fangfang DAI ; Xiaoling HU ; Yunwei LIU ; Yingxiao HE ; Ying ZHU ; Zhenjie LIU
Chinese Journal of Endocrinology and Metabolism 2023;39(1):26-33
Objective:To evaluate the predictive value of anthropometric indicators in predicting cardiovascular risk in the population with metabolic syndrome(MS).Methods:A cross-sectional study was used to analyze the correlation between anthropometric measures and cardiovascular risk in subjects with MS. Cardiometabolic risk was assessed with cardiometabolic risk index(CMRI). Receiver operating characteristic(ROC) curve analysis was used to assess the predictive power of anthropometric measures for cardiometabolic risk.Results:(1) The anthropometric measures [body mass index(BMI), waist-hip ratio(WHR), waist-to-height ratio(WtHR), body fat percentage(BFP), visceral fat index(VFI), conicity index(CI), a body shape index(ABSI), body roundness index(BRI), abdominal volume index(AVI)] in the MS group were significantly higher than those in the non-MS group( P<0.05). Moreover, there were significant differences in CMRI score and vascular risk between the two groups( P<0.05). (2) Logistic regression analysis showed that the cardiovascular risk was increased with the increases of BMI, VFI, WHR, WtHR, CI, BRI, and AVI after adjusting for confounding factors in the overall population, the non-MS population, and the MS population( P<0.05). (3) In the ROC analysis, the AUC values of BMI, VFI, and AVI were 0.767, 0.734, and 0.770 in the overall population; 0.844, 0.816, and 0.795 in the non-MS population; 0.701, 0.666, and 0.702 in the MS population, respectively. For the overall population and non-MS population, the optimal cut points of BMI to diagnose high cardiovascular risk were 26.04 kg/m 2 and 24.36 kg/m 2; the optimal cut points of VFI were 10.25 and 9.75; the optimal cut points of AVI were 17.3 cm 2 and 15.53 cm 2, respectively. In the MS population, the optimal cut point as a predictor of high cardiovascular risk in young and middle-aged men with MS was 27.63 kg/m 2, and the optimal cut point of AVI in women was 18.08 cm 2. Conclusion:BMI, VFI, and AVI can be used as predictors of cardiovascular risk in the general population. BMI can be used as a predicator of high cardiovascular risk in young and middle-age men with MS. AVI can be used as a predicator of high cardiovascular risk in women with MS.
2.Theory Analysis on Absorption of Exogenous Substances in Traditional Chinese Medicine
Xi-li ZHANG ; Yun-li ZHANG ; Hui-hui LIANG ; Wen WEN ; Yan MAO ; Ge YU ; Guo-zuo WANG ; Zhi-jun LIU ; Fu-yuan HE ; Wen-long LIU ; Rui-lian LIU
Chinese Journal of Experimental Traditional Medical Formulae 2020;26(10):192-196
The safety of traditional Chinese medicine is affected by many factors, and the influence of exogenous harmful substances has been concerned and become a hot spot in recent years, especially heavy metals, pesticide residues and some other harmful substances. In order to explore the effects of non-soil and non-pesticide treatment on residues of these two harmful substances, the heavy metals and agricultural residues of Lilii Bulbus were detected, and the correlation of the data was analyzed. In this experiment, heavy metals and pesticide residues of Scrophulariae Radix were detected, and correlation analysis was conducted for their data. The mechanism of transport phase was interpreted with statistical moment similarity tool of total fingerprint by supramolecular chemistry theory. A large number of experimental data in this paper showed that heavy metals and pesticide contents in Lilii Bulbus basaltifolia had a positive correlation, which was closely related to supramolecular phenomena. Moreover, the similarity of fingerprints between Lilii Bulbus and Scrophulariae Radix suggested that Lilii Bulbus and Scrophulariae Radixa had a high selectivity in absorption of agricultural residues, which proved that the absorption of pesticides in Lilii Bulbus and Scrophulariae Radix from different habitats had the function of supramolecular imprinting template. It was considered that medicinal plant was a giant complex supramolecule with various levels of " imprinted template" . Heavy metals and agricultural residues were also involved in plant growth, forming an " imprinted template" for the formation of supramolecules between agricultural residues and heavy metals. After heavy metals and agricultural residues formed supramolecules, their liposolubility and permeability changed in varying degrees, and their transport in medicinal plants was promoted. Finally, the heavy metal supramolecules of pesticides were absorbed, distributed, aggregated and accumulated in plants. The purpose of the study was to reveal the mechanism of heavy metal and pesticide supramolecule transport, provide a new direction for the treatment of heavy metals and pesticide residues, and ensure the safety of traditional Chinese medicine.