Urinary phthalate metabolites mixture, serum cytokines and renal function in children: A panel study

https://doi.org/10.1016/j.jhazmat.2021.126963Get rights and content

Highlights

  • The panel study firstly explored link of phthalate metabolites mixture with children’s renal function.

  • Urinary phthalate metabolites were dose-responsive related to eGFR reduction.

  • MEP of phthalate metabolites mixture was the major contributor for decreased eGFR.

  • eGFR related phthalate metabolites were linked with increased multiple cytokines.

  • CCL27 and CXCL1 might partly mediate the association of MEP with eGFR.

Abstract

Epidemiological evidence regarded the relations of phthalates with children’s renal function and its underlying mechanism were largely unknown. We conducted a panel study using 287 paired urine-blood samples by repeated measurements of 103 children (4–13 years) across 3 seasons to explore effects of urinary phthalate metabolites on estimated glomerular filtration rate (eGFR) and the potential role of multiple cytokines. We found that mono-ethyl phthalate (MEP), monobutyl phthalate (MBP), mono-benzyl phthalate (MBzP) and mono-n-octyl phthalate (MOP) were significantly associated with eGFR reduction. Compared with the lowest quartile, MBP, MBzP and MEP in the third and fourth quartiles exhibited a graded decrease in eGFR. Meanwhile, weighted quantile sum regression analyses showed an inverse association of metabolites mixture with eGFR, to which MEP, MBzP, MOP were the major contributors. MEP also remained robust in multiple-phthalate model. Age and weight status might modify such relationships with significant interactions. Furthermore, eGFR related phthalate metabolites were associated with increased multiple cytokines, and CCL27, CXCL1 might be potential mediators between MEP and eGFR with mild mediated proportions. Accordingly, urinary phthalate metabolites were related to eGFR reduction in dose-response manner and multiple cytokines elevation, of which CCL27 and CXCL1 might partly mediate phthalate-associated decreased renal function among children.

Introduction

Phthalates, as widely used plasticizers, have been applied for consumer and industrial products, including personal care products, food packaging, furnishings, nutritional supplements, medical devices, and children’s toys (Andaluri et al., 2018, Wang et al., 2018, Xu et al., 2020). The consumption of phthalates has increased about 21% over last five years, and mainly concentrated in Asia-Pacific region (Benjamin et al., 2017). Due to its thermal instability, phthalates might be penetrated into human body via air inhalation, digestive intake, and dermal absorption. Although its half-lives in the body is quite short within several hours (Anderson et al., 2011), general population continuously exposed to phthalates almost everyday. Growing number of studies showed that phthalate metabolites could exert great toxicity on endocrine metabolism, reproductive system and so on (Hyland et al., 2019, Kahn et al., 2020, Mariana et al., 2016). Notable, experimental study observed the metabolic hydrolysates of phthalates preferred to be excreted by urine (Wang et al., 2019), which inevitably caused damage to the kidney.

Several cross-sectional studies found that urinary phthalate metabolites were related to increased urinary albumin-to-creatinine ratio, microalbumin, and reduced estimated glomerular filtration rate (eGFR) in adults (Chang et al., 2020, Chen et al., 2020, Chen et al., 2019b, Chen et al., 2019a, Lee et al., 2020). Compared to adults, children are more likely to expose to phthalate on account of their hand-to-mouth behavior and sensitive respiratory system (Benjamin et al., 2017). However, limited evidence available on the associations of phthalates and children’s renal function came out with inconsistent results. Cross-sectional studies observed the positive relation of di-(2-ethylhexyl) phthalate with albumin-to-creatinine ratio in general children (Trasande et al., 2014, Tsai et al., 2016), and eGFR was decreased in response to high-molecular-weight phthalates but increased by low-molecular-weight phthalates in children with chronic kidney disease (Malits et al., 2018). Whereas other cross-sectional studies (Chang et al., 2020, Chen et al., 2019a) and only one longitudinal study (Jacobson et al., 2020) showed no significant effect of phthalate metabolites on eGFR among children and adolescents. More importantly, phthalate metabolites usually were exposed as a mixture of several highly correlated chemicals, while these previous studies only considered nephrotoxicity of each single phthalate metabolite rather than phthalate mixture. And which specific phthalate metabolite contributing to the nephrotoxicity is still unclear.

Recently, a systematic review based on 29 observational epidemiologic studies reported the positive association of phthalates exposure with oxidative stress, while it’s uncertain for its relation with inflammation (Sweeney et al., 2019). Prior experimental studies in vivo observed exposed to phthalates could result in significant increase of oxidative stress and cytokines in supernatant of kidney (Chen et al., 2019a, Chen et al., 2019b, Gu et al., 2021) and systemic inflammation (Campioli et al., 2014). Nevertheless, population-based evidence of mechanisms underlying associations between phthalates and renal function remained largely unknown.

Further, it’s reported that eGFR estimated by serum creatinine was superior to urinary albumin-to-creatinine ratio and blood urea nitrogen (BUN) (Weintraub et al., 2015, Colombo et al., 2020) and regared as the most useful biomarkers (Levey and Inker, 2017) to reflect renal function. Therefore, we conducted a longitudinal panel study to explore the effect of urinary phthalate metabolites, either as individual or a mixture, on eGFR, and the possible role of serum cytokines in association of phthalate metabolites with eGFR among healthy children.

Section snippets

Study design and subjects

All study participants were from a panel study in Wuhan, China and the details have been described previously (Liu et al., 2020b, Liu et al., 2020a). Briefly, the panel study was originally designed to explore the effect of particulate matter on children’s cardiopulmonary function. Whereas, child & teenager period is an important stage for growth and development so as cardiopulmonary function is greatly affected by age. Thus, we chose children aged 4–6 and 11–13 years to assess whether there

Descriptions of the subjects’ characteristic, and urinary phthalate metabolites

All children had a mean age of 9.5 ± 3.3 years, 59.2% of boys, and half of extra-school activity < 1 h/day (54.4%). About a third were overweight (34.0%), small part of them were passive smokers (18.5%) and 5 children with albuminuria (4.9%) (Table S1). Compared with that in winter, the concentrations of eGFR was lower, and CCL3, CCL27, CXCL1 were relatively higher in autumn and summer (Table 1).

As showed in Table 1, 10 urinary phthalate metabolites were all detected in over 90% of 287 samples,

Discussion

The present study found that increased MEP, MBP, MBzP and MOP were dose-responsive associated with eGFR reduction among healthy children. The WQS index of phthalate metabolites mixture showed the adverse relation with eGFR, in which MEP, MBzP, MOP played the major roles. And, MEP was still inversely related to eGFR in multiple-phthalate model.

To the best of our knowledge, this is the first longitudinal panel study to explore both the individual and overall effects of 10 phthalate metabolites

Conclusion

Increased MEP, MBP, MBzP and MOP were related to decreased eGFR in dose-response manner among healthy children. And phthalate metabolites mixture dominated by MEP, MBzP and MOP was inversely associated with eGFR. Such relationships were stronger in children aged 11–13 years, or overweight with significant interactions. Moreover, eGFR related phthalate metabolites were relevant to the expression of multiple cytokines, of which increased CCL27 and CXCL1 might mildly mediate relation between MEP

CRediT authorship contribution statement

Miao Liu: Conceptualization, Methodology, Software, Investigation, Validation, Data curation, Writing – original draft, preparation; Lei Zhao: Methodology, Investigation, Validation, Data curation; Linlin Liu: Investigation; Wenting Guo: Investigation; Huihua Yang: Investigation; Shuang Chen: Investigation; Jie Yu: Investigation; Meng Li: Investigation; Qin Fang: Investigation; Xuefeng Lai: Investigation; Liangle Yang: Investigation; Rui Zhu: Supervision, Project administration, Funding

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work was supported by the National Key Research and Development Program of China (2016YFC0206505) and Fundamental Research Funds for the Central Universities, HUST (2020kfyXJJS058). We appreciated the contributions of all participants in this study and all study staff of the Tongji Medical College, Huazhong University of Science and Technology.

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