Cheng Fangyu, Li Yueyuan, Deng Kai, Zhang Xinyu, Sun Wenxue, Yang Xin, Zhang Xiaofang, Wang Chunping
School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Ann Med. 2025 Dec;57(1):2496411. doi: 10.1080/07853890.2025.2496411. Epub 2025 Apr 24.
The potentially risky effects of metabolites of phthalates (mPAEs) on inflammation and immune function have attracted much attention in recent years. However, direct studies on the relationship between these metabolites and the systemic immune inflammatory index (SII) and systemic inflammatory response index (SIRI) are limited.
This cross-sectional study used generalized linear regression models (GLM), restricted cubic splines (RCS), weighted quantile sum (WQS), and Bayesian kernel-machine regression (BKMR) to analyze data from 2,763 U.S. adults aged between 20 and 80 years, obtained from the U.S. National Health and Nutrition Examination Survey (NHANES) conducted between 2013 and 2018. The study aimed to investigate the relationship between urine samples of nine mPAEs and levels of SII/SIRI in a single, nonlinear, and mixed relationship and explored the robustness of the findings under single and mixed effects using two sensitivity analyses for completeness. In addition, the effects of six variables (age, sex, BMI, the percentage of total daily energy intake from ultra-processed foods (UPFs), total vegetable intake, and dietary supplements) on the association results were explored through subgroup analyses to identify potentially important confounders.
In single exposure analyses, mono-n-butyl phthalate (MnBP), mono-ethyl phthalate (MEP), and monobenzyl phthalate (MBzP) were positively associated with SII/SIRI. The findings from the two mixed exposure models demonstrated a positive association between the collective concentrations of mPAEs and levels of SII/SIRI, with MBzP being identified as a significant contributor to the urinary levels of mPAEs. The subgroup analysis results of the effects of single and mixed exposures show that the association between mPAEs and SII/SIRI is more significant in females, overweight/obese populations, young/middle-aged populations, and populations with high levels of intake of UPFs.
Positive associations were identified between mPAEs and SII/SIRI. MBzP was determined to have the most significant impact. The association between mPAEs and SII/SIRI is significantly influenced by female groups, young and middle-aged populations, overweight and obese individuals, as well as those with a higher intake of UPFs.
近年来,邻苯二甲酸酯代谢物(mPAEs)对炎症和免疫功能的潜在风险效应备受关注。然而,关于这些代谢物与全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)之间关系的直接研究有限。
这项横断面研究使用广义线性回归模型(GLM)、受限立方样条(RCS)、加权分位数和(WQS)以及贝叶斯核机器回归(BKMR),对2013年至2018年美国国家健康与营养检查调查(NHANES)中获取的2763名年龄在20至80岁之间的美国成年人的数据进行分析。该研究旨在探讨9种mPAEs的尿液样本与SII/SIRI水平之间的单一、非线性和混合关系,并通过两种敏感性分析来探索在单一和混合效应下研究结果的稳健性,以确保完整性。此外,通过亚组分析探讨了6个变量(年龄、性别、体重指数、超加工食品(UPFs)占每日总能量摄入的百分比、蔬菜总摄入量和膳食补充剂)对关联结果的影响,以确定潜在的重要混杂因素。
在单一暴露分析中,邻苯二甲酸单丁酯(MnBP)、邻苯二甲酸单乙酯(MEP)和邻苯二甲酸单苄酯(MBzP)与SII/SIRI呈正相关。两个混合暴露模型的结果表明,mPAEs的总体浓度与SII/SIRI水平呈正相关,其中MBzP被确定为尿液中mPAEs水平的重要贡献者。单一和混合暴露效应的亚组分析结果表明,mPAEs与SII/SIRI之间的关联在女性、超重/肥胖人群、青年/中年人群以及UPFs摄入量高的人群中更为显著。
mPAEs与SII/SIRI之间存在正相关。确定MBzP的影响最为显著。mPAEs与SII/SIRI之间的关联受到女性群体、青年和中年人群、超重和肥胖个体以及UPFs摄入量较高者的显著影响。