Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China.
Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Environmental Health Impairment and Prevention, Shanxi Medical University, Taiyuan, China; NHC Key Laboratory of Pneumoconiosis, Shanxi Medical University, Taiyuan, China; MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention,Shanxi Medical University, Taiyuan, China.
Environ Toxicol Pharmacol. 2024 Oct;111:104548. doi: 10.1016/j.etap.2024.104548. Epub 2024 Aug 31.
To assess the diagnostic utility of lncRNA 51 A in detecting cognitive decline among aluminum-exposed workers occupationally.
921 male workers from an aluminum manufacturing facility underwent cognitive assessments, measurement of plasma aluminum levels and quantification of lncRNA 51 A levels. Receiver Operating Characteristic (ROC) curves were constructed to assess the diagnostic potential of lncRNA 51 A. Bayesian network model was utilized to predict the likelihood of cognitive decline among the study population.
Significant differences in lncRNA 51 A levels, plasma aluminum concentration and MMSE scores were observed between cognitive normal and decline groups. The lncRNA 51 A expression was negatively correlated with MMSE scores. The area under the curve (AUC) was 0.894, with 89.3 % sensitivity and 73.9 % specificity. The Bayesian network model indicated varying probabilities of cognitive decline based on lncRNA 51 A expression levels.
Plasma lncRNA 51 A shows potential as an excellent biomarker for cognitive decline diagnosis in aluminum-exposed workers.
评估长链非编码 RNA 51A 在检测职业性铝暴露工人认知能力下降中的诊断效用。
921 名来自铝制造工厂的男性工人接受了认知评估、血浆铝水平测量和长链非编码 RNA 51A 水平定量检测。构建了受试者工作特征（ROC）曲线以评估长链非编码 RNA 51A 的诊断潜力。贝叶斯网络模型用于预测研究人群中认知下降的可能性。
认知正常和认知下降组之间观察到长链非编码 RNA 51A 水平、血浆铝浓度和 MMSE 评分的显著差异。长链非编码 RNA 51A 的表达与 MMSE 评分呈负相关。曲线下面积（AUC）为 0.894，灵敏度为 89.3%，特异性为 73.9%。贝叶斯网络模型根据长链非编码 RNA 51A 表达水平指示认知下降的不同可能性。
血浆长链非编码 RNA 51A 作为铝暴露工人认知能力下降诊断的优秀生物标志物具有潜力。
