Ran Bi, Qin Jiangyue, Wu Yanqiu, Wen Fuqiang
Department of Respiratory and Critical Care Medicine, West China Hospital and Division of Pulmonary Diseases, State Key Laboratory of Biotherapy of China, Sichuan University. Guoxuexiang 37, Chengdu, Sichuan, 610041, China.
General Practice Ward/International Medical Center Ward, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
Heliyon. 2024 Mar 15;10(6):e27958. doi: 10.1016/j.heliyon.2024.e27958. eCollection 2024 Mar 30.
People are constantly exposed to phthalates, but few reliable studies have focused on the connection between phthalate exposure and latent tuberculosis infection (LTBI).
Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database (2011-2012). The LTBI was assessed by QuantiFERON®-TB Gold-In-Tube (QFT) or tuberculin skin testing (TST). The odds ratios (ORs) and 95% confidence intervals (CIs) per log10 unit change in the concentration of phthalate metabolites were calculated using crude and adjusted logistic regression models. The relationships between mixed phthalate concentrations and LTBI were assessed using Bayesian kernel machine regression (BKMR) models.
According to the results of the multivariable logistic regression, in a fully adjusted model, only monobenzyl phthalate (MBZP) was negatively associated with LTBI in Q3 (OR (95% CI): 0.485 (0.286,0.823), = 0.007). According to the restricted cubic spline (RCS) model, there was a linear dose‒response association between all 11 phthalate metabolites and LTBI ( for nonlinearity >0.05). We found a significant positive correlation between mixed phthalate metabolites and LTBI by using fully adjusted BKMR model.
Our analysis demonstrated that LTBI in the general U.S. population is linearly linked with exposure to single or combined phthalates.
人们持续接触邻苯二甲酸盐,但很少有可靠研究关注邻苯二甲酸盐暴露与潜伏性结核感染(LTBI)之间的联系。
数据来自国家健康与营养检查调查(NHANES)数据库(2011 - 2012年)。通过全血γ干扰素释放试验(QFT)或结核菌素皮肤试验(TST)评估LTBI。使用原始和调整后的逻辑回归模型计算邻苯二甲酸酯代谢物浓度每增加1个对数单位变化的优势比(OR)和95%置信区间(CI)。使用贝叶斯核机器回归(BKMR)模型评估混合邻苯二甲酸酯浓度与LTBI之间的关系。
根据多变量逻辑回归结果,在完全调整模型中,仅在Q3中,单苄基邻苯二甲酸酯(MBZP)与LTBI呈负相关(OR(95%CI):0.485(0.286,0.823),P = 0.007)。根据受限立方样条(RCS)模型,所有11种邻苯二甲酸酯代谢物与LTBI之间存在线性剂量 - 反应关联(非线性检验P>0.05)。通过使用完全调整的BKMR模型,我们发现混合邻苯二甲酸酯代谢物与LTBI之间存在显著正相关。
我们的分析表明,美国普通人群中的LTBI与单一或联合邻苯二甲酸盐暴露呈线性相关。