Li Xiao-Yu, Wei Jing-Lin, Xie Yong-Xin, Zhao Ji, Ma Li-Ya, Zhang Na, Yang Hui-Fang
School of Public Healthy and Management, Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China.
Appl Bionics Biomech. 2022 Apr 1;2022:8629583. doi: 10.1155/2022/8629583. eCollection 2022.
We aimed to explore the risk factors for coal workers' pneumoconiosis and to further explore the significance of mitochondrial fission and fusion factors in CWP and verify the feasibility of mitochondrial fission and fusion factors as diagnostic and therapeutic targets.
The data of 168 cases were collected, and they were divided into a healthy control group (40 cases), dust exposure control group (61 cases), and CWP group (67 cases) and entered into SPSS 24.0. The statistical data were analyzed by the chi-square test or Fisher's exact probability method. The variables with statistically significant differences of the univariate analysis results were included in the generalized linear model. Test level was = 0.05. Blood samples were collected to detect the ROS content, MDA content, and SOD activity. The mRNA expression levels of , , , , , , and were determined by q-PCR. The protein expression levels of OPA1, Drp1, MFN2, Fis1, Col I, Col III, and -SMA were detected by western blot.
Generalized linear regression analysis showed that lower school education, no respiratory protective measures, the working age beyond 15 years, and the type of work like coal mine drillers were the risk factors for CWP. With the aggravation of CWP, the degree of fibrosis and inflammation increased oxidative damage, increased mitochondrion division, and decreased fusion, which were more sensitive in the second and third stages of CWP.
The results in this found that mitochondria are injured by fission and fusion in the CWP patients. Detection of the mitochondria fission and fusion factors provides the application value to evaluate the injury degree and progress of CWP and the clues for finding the real and effective screening and diagnosis biomarkers.
探讨煤工尘肺的危险因素,进一步探究线粒体分裂与融合因子在煤工尘肺中的意义,并验证线粒体分裂与融合因子作为诊断和治疗靶点的可行性。
收集168例研究对象的数据,将其分为健康对照组(40例)、粉尘暴露对照组(61例)和煤工尘肺组(67例),录入SPSS 24.0。统计数据采用卡方检验或Fisher确切概率法进行分析。将单因素分析结果中具有统计学差异的变量纳入广义线性模型。检验水准α = 0.05。采集血样检测ROS含量、MDA含量和SOD活性。采用q-PCR法检测、、、、、、的mRNA表达水平。采用蛋白质印迹法检测OPA1、Drp1、MFN2、Fis1、Col I、Col III和α-SMA的蛋白表达水平。
广义线性回归分析显示,低学历、无呼吸防护措施、工龄超过15年以及煤矿钻工等工种是煤工尘肺的危险因素。随着煤工尘肺病情加重,纤维化和炎症程度增加,氧化损伤加重,线粒体分裂增加而融合减少,在煤工尘肺的第二、三期更为敏感。
本研究结果发现煤工尘肺患者线粒体存在分裂与融合损伤。检测线粒体分裂与融合因子为评估煤工尘肺的损伤程度和病情进展提供了应用价值,也为寻找真实有效的筛查和诊断生物标志物提供了线索。