Table_1_Plasma Proteins as Occupational Hazard Risk Monitors for Populations Working in Harsh Environments: A Mendelian Randomization Study.pdf

Harsh work environments can include very cold, hot, dusty, and noisy workplaces, as well as exposure in the workplace with chemicals and other fumes, cigarette smoke, and diesel exhaust. Although working in these harsh environments can have a negative effect on health, there are no effective biomarkers for monitoring health conditions until workers develop disease symptoms. Plasma protein concentrations, which reflect metabolism and immune status, have great potential as biomarkers for various health conditions. Using a Mendelian-randomization (MR) design, this study analyzed the effects of these harsh environments on plasma proteins to identify proteins that can be used as biomarkers of health status. Preliminary analysis using inverse variance weighted (IVW) method with a p-value cutoff of 0.05 showed that workplace environments could affect the concentrations of hundreds of plasma proteins. After filtering for sensitivity via MR-Egger, and Weighted Median MR approaches, 28 plasma proteins altered by workplace environments were identified. Further MR analysis showed that 20 of these plasma proteins, including UNC5D, IGFBP1, SCG3, ST3GAL6, and ST3GAL2 are affected by noisy workplace environments; TFF1, RBM39, ACYP2, STAT3, GRB2, CXCL1, EIF1AD, CSNK1G2, and CRKL that are affected by chemical fumes; ADCYAP1, NRSN1, TMEM132A, and CA10 that are affected by passive smoking; LILRB2, and TENM4 that are affected by diesel exhaust, are associated with the risk of at least one disease. These proteins have the potential to serve as biomarkers to monitor the occupational hazards risk of workers working in corresponding environments. These findings also provide clues to study the biological mechanisms of occupational hazards.

恶劣的工作环境可能包括极端寒冷、炎热、多尘和嘈杂的工作场所，以及在工作场所接触化学物质和其他烟雾、香烟烟雾和柴油尾气。尽管在这些恶劣环境中工作可能对健康产生负面影响，但在工人出现疾病症状之前，尚无有效的生物标志物用于监测健康状况。血浆蛋白浓度，能够反映代谢和免疫状态，在作为各种健康状况的生物标志物方面具有巨大潜力。本研究采用孟德尔随机化（MR）设计，分析了这些恶劣环境对血浆蛋白的影响，以识别可作为健康状况生物标志物的蛋白质。初步分析采用逆方差加权（IVW）方法，以p值为0.05作为截止值，显示工作环境可能影响数百种血浆蛋白的浓度。通过MR-Egger和加权中位数MR方法进行敏感性筛选后，确定了28种受工作环境影响改变的血浆蛋白。进一步的MR分析表明，其中20种血浆蛋白，包括UNC5D、IGFBP1、SCG3、ST3GAL6和ST3GAL2受到嘈杂工作环境的影响；TFF1、RBM39、ACYP2、STAT3、GRB2、CXCL1、EIF1AD、CSNK1G2和CRKL受到化学烟雾的影响；ADCYAP1、NRSN1、TMEM132A和CA10受到被动吸烟的影响；LILRB2和TENM4受到柴油尾气的影响，与至少一种疾病的风险相关。这些蛋白质有潜力作为生物标志物，用于监测在相应环境中工作的工人的职业危害风险。这些发现也为研究职业危害的生物机制提供了线索。