2.Predicting the Risk of Arterial Stiffness in Coal Miners Based on Different Machine Learning Models.
Qian Wei CHEN ; Xue Zan HUANG ; Yu DING ; Feng Ren ZHU ; Jia WANG ; Yuan Jie ZOU ; Yuan Zhen DU ; Ya Jun ZHANG ; Zi Wen HUI ; Feng Lin ZHU ; Min MU
Biomedical and Environmental Sciences 2024;37(1):108-111
7.Correlation between Combined Urinary Metal Exposure and Grip Strength under Three Statistical Models: A Cross-sectional Study in Rural Guangxi
Jian Yu LIANG ; Hui Jia RONG ; Xiu Xue WANG ; Sheng Jian CAI ; Dong Li QIN ; Mei Qiu LIU ; Xu TANG ; Ting Xiao MO ; Fei Yan WEI ; Xia Yin LIN ; Xiang Shen HUANG ; Yu Ting LUO ; Yu Ruo GOU ; Jing Jie CAO ; Wu Chu HUANG ; Fu Yu LU ; Jian QIN ; Yong Zhi ZHANG
Biomedical and Environmental Sciences 2024;37(1):3-18
Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95% confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.
8.Effects of Bisphenol A and Its Substitute, Bisphenol F, on the Gut Microbiota in Mice
Ying Li MENG ; Fu Wen TAO ; Jing LI ; Min ZHU ; Bin De ZHONG ; Jing ZHOU ; Xue QIN ; Guo Rong WEI
Biomedical and Environmental Sciences 2024;37(1):19-30
Objective The aim of this study was to assess the impact of bisphenol A (BPA) and its substitute, bisphenol F (BPF), on the colonic fecal community structure and function of mice.Methods We exposed 6-8-week-old male C57BL/6 mice to 5 mg/(kg·day) and 50 μg/(kg·day) of BPA or BPF for 14 days. Fecal samples from the colon were analyzed using 16S rRNA sequencing. Results Gut microbiome community richness and diversity, species composition, and function were significantly altered in mice exposed to BPA or BPF. This change was characterized by elevated levels of Ruminococcaceae UCG-010 and Oscillibacter and decreased levels of Prevotella 9 and Streptococcus. Additionally, pathways related to carbohydrate and amino acid metabolism showed substantial enrichment. Conclusion Mice exposed to different BP analogs exhibited distinct gut bacterial community richness, composition, and related metabolic pathways. Considering the essential role of gut bacteria in maintaining intestinal homeostasis, our study highlights the intestinal toxicity of BPs in vertebrates.
9.The Uptake and Distribution Evidence of Nano-and Microplastics in vivo after a Single High Dose of Oral Exposure
Tao HONG ; Wei SUN ; Yuan DENG ; Da Jian LYU ; Hong Cui JIN ; Long Ying BAI ; Jun NA ; Rui ZHANG ; Yuan GAO ; Wei Guo PAN ; Sen Zuo YANG ; Jun Ling YAN
Biomedical and Environmental Sciences 2024;37(1):31-41
Objective Tissue uptake and distribution of nano-/microplastics was studied at a single high dose by gavage in vivo.Methods Fluorescent microspheres (100 nm, 3 μm, and 10 μm) were given once at a dose of 200 mg/(kg·body weight). The fluorescence intensity (FI) in observed organs was measured using the IVIS Spectrum at 0.5, 1, 2, and 4 h after administration. Histopathology was performed to corroborate these findings.Results In the 100 nm group, the FI of the stomach and small intestine were highest at 0.5 h, and the FI of the large intestine, excrement, lung, kidney, liver, and skeletal muscles were highest at 4 h compared with the control group (P < 0.05). In the 3 μm group, the FI only increased in the lung at 2 h (P < 0.05). In the 10 μm group, the FI increased in the large intestine and excrement at 2 h, and in the kidney at 4 h (P < 0.05). The presence of nano-/microplastics in tissues was further verified by histopathology. The peak time of nanoplastic absorption in blood was confirmed.Conclusion Nanoplastics translocated rapidly to observed organs/tissues through blood circulation;however, only small amounts of MPs could penetrate the organs.
10.The Effect and Mechanism of Fructus lycii on Improvement of Exercise Fatigue Using a Network Pharmacological Approach with in vitro Experimental Verification
Ning Xiao JI ; Ping Zhao LIU ; Zheng Chao ZHANG ; Min CHEN ; Jiang LIANG ; Jiang LU ; Lei ZHANG
Biomedical and Environmental Sciences 2024;37(1):42-53
Objective This study aimed to investigate the effect and underlying mechanism of Fructus lycii in improving exercise fatigue.Methods A network pharmacological approach was used to explore potential mechanisms of action of Fructus lycii. Skeletal muscle C2C12 cells and immunofluorescence were employed to verify the effect and mechanism of the representative components in Fructus lycii predicted by network pharmacological analysis.Results Six potential active components, namely quercetin, β-sitosterol, stigmasterol, 7-O-methylluteolin-6-C-beta-glucoside_qt, atropine, and glycitein, were identified to have potency in improving exercise fatigue via multiple pathways, such as the PI3K-Akt, neuroactive ligand-receptor interaction, IL-17, TNF, and MAPK signaling pathways. The immunofluorescence results indicated that quercetin, a significant active component in Fructus lycii, increased the mean staining area of 2-NBDG, TMRM, and MitoTracker, and decreased the area of CellRox compared to the control. Furthermore, the protein expression levels of p-38 MAPK, p-MAPK, p-JNK, p-PI3K, and p-AKT markedly increased after quercetin treatment.Conclusion Fructus lycii might alleviate exercise fatigue through multiple components and pathways. Among these, quercetin appears to improve exercise fatigue by enhancing energy metabolism and reducing oxidative stress. The PI3K-AKT and MAPK signaling pathways also appear to play a role in this process.

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