四川大学华西公共卫生学院/四川大学华西第四医院流行病与卫生统计学系,成都
GUO Bing, E-mail: guobing0111@scu.edu.cn
Received:03 June 2025,
Revised:22 July 2025,
Published:30 August 2025
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张艳孜,朱秀玲,李凯,等.邻苯二甲酸酯暴露与高密度脂蛋白相关炎症指标异常的关联性研究[J].陆军军医大学学报,2025,47(16):1940-1949.DOI:10.16016/j.2097-0927.202506001.
ZHANG Y, ZHU X L, LI K, et al.Association between phthalates and high-density lipoprotein-related inflammatory indicators[J].J Army Med Univ,2025,47(16):1940-1949.DOI:10.16016/j.2097-0927.202506001.
张艳孜,朱秀玲,李凯,等.邻苯二甲酸酯暴露与高密度脂蛋白相关炎症指标异常的关联性研究[J].陆军军医大学学报,2025,47(16):1940-1949.DOI:10.16016/j.2097-0927.202506001. DOI:
ZHANG Y, ZHU X L, LI K, et al.Association between phthalates and high-density lipoprotein-related inflammatory indicators[J].J Army Med Univ,2025,47(16):1940-1949.DOI:10.16016/j.2097-0927.202506001. DOI:
目的
2
探讨尿邻苯二甲酸酯代谢物与高密度脂蛋白胆固醇(high-density lipoprotein-cholesterol, HDL-C)相关的4个炎症指标(LHR、MHR、NHR、PHR)的关联,并解释其可能的生物学机制。
方法
2
采用美国全国健康和营养调查(national health and nutrition examination survey,NHANES)的4 573名成年参与者,对邻苯二甲酸酯和炎症指标进行广义线性模型(generalized linear model, GLM)、限制性立方样条(restricted cubic spline,RCS)和加权分位数和(weighted quantile sum,WQS)回归分析,分别探讨邻苯二甲酸酯单暴露和混合暴露与HDL-C炎症指标的潜在关联。
结果
2
9种尿邻苯二甲酸酯代谢物均与至少一个炎症指标存在显著正向关联(
P
<
0.05),1种代谢物(MEP)和炎症指标(LHR)存在负向关联,部分暴露代谢物和结局炎症指标存在非线性关联。对每个结局炎症指标,WQS回归显示不同邻苯二甲酸酯代谢物具有不同的权重贡献。亚组分析结果表明在不同性别、年龄、BMI人群中,邻苯二甲酸酯与HDL-C相关炎症指标的关联结果存在差异。
结论
2
邻苯二甲酸酯暴露和HDL-C相关炎症指标存在关联,但需进一步研究揭示其潜在机制。
Objective To investigate the association of urinary phthalate metabolites with 4 high-density lipoprotein-cholesterol(HDL-C)-related inflammatory indicators [lymphocyte/HDL-C ratio (LHR)
monocyte/HDL-C ratio (MHR)
neutrophil/HDL-C ratio (NHR)
and platelet/HDL-C ratio (PHR)]
and to explain their possible biological mechanisms. Methods The 4 573 adult participants from the National Health and Nutrition Examination Survey (NHANES) were subjected
and then generalized linear regression (GLM)
restricted cubic spline (RCS)
and weighted quantile sum (WQS) regressions were performed to explore the potential associations of phthalates mono-exposures and mixed exposures
respectively
with the HDL-C-related inflammation metrics. Results Nine urinary phthalate metabolites were significantly positively associated with at least 1 inflammatory marker
while 1 metabolite (MEP) showed a negative association with an inflammatory indicator (LHR). Some exposure metabolites showed a nonlinear association with outcome inflammatory indicators. WQS regression revealed varying weight contributions of individual metabolite to each inflammatory outcome. Subgroup analyses indicated differential association effects of phthalates with HDL-C-related inflammatory metrics across gender
age
and BMI populations. Conclusion There are associations between phthalate exposure and HDL-C-related inflammation indicators
but further studies are needed to reveal the underlying mechanisms.
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