Journal Pre-proof Renal function and the exposure to melamine and phthalates in Shanghai adults JingSi Chen, XinLi Shi, XiaoFeng Zhou, RuiHua Dong, YaQun Yuan, Min Wu, WeiHua Chen, XiaoHong Liu, FuHuai Jia, ShuGuang Li, QiFan Yang, Bo Chen PII:
S0045-6535(20)30011-4
DOI:
https://doi.org/10.1016/j.chemosphere.2020.125820
Reference:
CHEM 125820
To appear in:
ECSN
Received Date: 20 August 2019 Revised Date:
19 December 2019
Accepted Date: 2 January 2020
Please cite this article as: Chen, J., Shi, X., Zhou, X., Dong, R., Yuan, Y., Wu, M., Chen, W., Liu, X., Jia, F., Li, S., Yang, Q., Chen, B., Renal function and the exposure to melamine and phthalates in Shanghai adults, Chemosphere (2020), doi: https://doi.org/10.1016/j.chemosphere.2020.125820. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.
Author’s Contribution Jingsi Chen
Data curation, Formal analysis, Investigation, Writing - original draft
Xinli Shi Data curation, Formal analysis, Investigation, Writing - original draft Xiaofeng Zhou
Data curation, Investigation
Ruihua Dong Data curation, Investigation Yaqun Yuan
Data curation, Investigation
Min Wu Data curation, Investigation WeiHua Chen Data curation, Investigation XiaoHong Liu Data curation, Investigation FuHuai Jia Writing - review & editing ShuGuang Li
Conceptualization, Writing - review & editing
QiFan Yang Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Writing - review & editing
Bo Chen
Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration,
Supervision, Writing - review & editing
1
Renal Function and the Exposure to Melamine and Phthalates in Shanghai Adults.
2
JingSi Chena,1, XinLi Shia,1, XiaoFeng Zhoua, RuiHua Donga, YaQun Yuana, Min Wua,
3
WeiHua Chenb, XiaoHong Liub, FuHuai Jiac, ShuGuang Lia, QiFan Yangd,*, Bo Chena,*
4
5
a
6
Center of Social Risks Governance in Health, School of Public Health, Fudan University,
7
Shanghai, 200032, China
8
b
9
c
10
d
11
China
Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation
Community health service center of Nanjing (E) road, Shanghai, 200003, China
Ningbo Yu Fang Tang Biological Science and Technology Co., Ltd., Ningbo, 315012, China. Shanghai Jingan District Center for Disease Control and Prevention, Shanghai, 200072,
12
13
1
14
*
15
86-21-54237146, or to QiFan Yang, E-mail:
[email protected], Tel/Fax: 86-21-56659090.
JingSi Chen and XinLi Shi had equal contribution. Correspondence should be addressed to Bo Chen, E-mail:
[email protected], Tel/Fax:
1
16
Abstract
17
[Background] Melamine and phthalates have been reported to damage renal function in
18
children. This association is scarce in general adults.
19
[Method] A cross-sectional subsample population of 611 adults participating in the 2012
20
Shanghai Food Consumption Survey (SHFCS) was analyzed for urinary biomarkers of
21
melamine, metabolites of phthalates, and renal function parameters. The correlations between
22
renal function parameters and chemical exposure (either independently or interactively) were
23
explored by linear regression models. To simplify the analysis, phthalate metabolites were
24
dimensionally reduced using principal component analysis (PCA) method.
25
[Result] Urinary melamine was positively associated with renal function parameters of both
26
albumin-to-creatinine ratio (ACR) and β2-microglobulin (B2M) in multivariate linear
27
regression models (P < 0.05). A PCA pattern characterized by high-molecular-weight
28
phthalates (HMWP) was positively associated with all three parameters of renal function
29
(ACR, B2M, and N-acetyl-β-d-glucosaminidase (NAG)). The co-exposure to melamine and
30
HMWP presented an additive effect on increasing these parameters (ACR, B2M, and NAG).
31
[Conclusion] Impaired renal function in Shanghai adults was associated with exposure to
32
both melamine and HMWP.
33
Key
34
N-acetyl-β-d-glucosaminidase; adults.
word:
Melamine;
metabolites
of
35
2
phthalates;
albumin;
β2-microglobulin;
36
1. Introduction
37
In the past few decades, kidney disease diagnosed with objective measurements of structural
38
damage and dysfunction has been recognized as a significant public health problem around
39
the world [1]. The worldwide prevalence of chronic kidney disease (CKD) has exceeded 10%
40
from 2006 to 2016 [2]. An increasing amount of evidence indicates that kidney injury could
41
induce many systemic complications and increase all-cause mortality [3].
42
Kidney disease has been reported to be affected by several factors including age, sex, ethnic,
43
comorbidity (diabetes and hypertension), genetic susceptibility, et al. [1, 4]. In addition, the
44
exposure to environmental chemicals, such as melamine and phthalates, has also been
45
suggested to play an important role [5–10].
46
Melamine, an organic base synthesized from urea, is widely used as an industrial chemical to
47
produce melamine resin, melamine foam, countertops, tableware, and other commercial
48
products [11]. Due to the wide use of melamine-containing products, melamine can be
49
detected ubiquitously in human urine, even after the 2008 melamine baby formula scandal
50
from China [12]. Melamine has been mainly reported to have renal toxicity [11]. In the events
51
of both 2007 pet food recall and 2008 baby formula scandal, high exposure to adulterated
52
melamine was found to result in urolithiasis [13]. Furthermore, environmental exposure to
53
melamine was also found to be possible reason behind impaired renal function, although such
54
reports were scarce and limited to children, melamine tableware manufacturing workers, and
55
adult patients of calcium urolithiasis [6, 8, 10, 14, 15]. Currently, it is unknown that whether
56
or not low exposure to melamine from the living environment may cause impaired renal
57
function in general adult population.
58
Another type of nephrotoxic chemicals, phthalates, is widely used as plasticizers to provide
59
flexibility and durability in plastic products [16]. Phthalates are well known as environmental
60
endocrine disruptors, but our recent study also suggested that the exposure to
61
high-molecular-weight phthalates (HMWP) could increase the risk of impaired renal function
62
in adults [9]. In addition, reports from Taiwan and USA also found an impaired
63
albumin-to-creatinine ratio (ACR) in urine in association with the exposure to dis 3
64
(2-ethylhexyl) phthalate (DEHP) in children [5, 7].
65
It is interesting that the renal toxicity of melamine and phthalates may share a common
66
mechanism, such as oxidative stress—a common pathway leading to renal function
67
deterioration. Oral exposure to dis (2-ethylhexyl) phthalate (DEHP) and di-iso-nonyl
68
phthalate (DiNP) are reported to cause renal histopathologic alterations in mice by upsetting
69
the balanced status between oxidants and antioxidants [17–20]. Similarly, melamine is also
70
demonstrated to increase the production of reactive oxygen species (ROS) and activate the
71
p38 mitogen-activated protein kinase (MAPK) pathway, which results in apoptosis in rat
72
kidney epithelial cells [21]. The shared mechanisms between melamine and phthalates make
73
the risk assessment of co-exposure to these chemicals being important, since people are
74
generally co-exposed to them. In this study, we investigated the renal function of Shanghai
75
adults in association with both melamine and phthalates. To the best of our knowledge, this is
76
the first epidemiological study reporting the nephrotoxic effect of exposure to melamine in
77
general adults.
78
2. Method
79
2.1 Study population
80
The participants in this study were enrolled in the Shanghai Food Consumption Survey
81
(SHFCS), which has been described extensively elsewhere [22–25]. Briefly, the SHFCS was
82
conducted four times within two years (from September 2012 to August 2014) to acquire
83
knowledge of the nutritional status of residents in Shanghai, and urine samples were collected
84
to measure the exposure to environmental chemicals related to diets. As urine samples were
85
collected only in the first survey (fall 2012), data collected in fall 2012 were ultimately
86
included in this study. Participants were eligible if they were aged ≥18 and had no history of
87
serious disease (cancer) at enrollment. Spot urine samples were obtained from 3082
88
participants, but 224 were aged ≤18 years, 89 were lacking weight or height information, 25
89
had unreasonable creatinine concentration (<20 µmol/L or >30,000 µmol/L), 326 had
90
insufficient samples for the detection of any biomarkers of this study, and only 2418 samples
91
of adults had been measured for the metabolites of phthalates. Among the 2418 samples, only
4
92
1663 samples were of sufficient volume for measuring renal function parameters, 908 had a
93
sufficient volume for measuring melamine and only 611 samples were measured for both
94
melamine and renal function parameters (Supplementary Figure 1). The Ethics Committee
95
of the School of Public Health at Fudan University approved this study. All participants gave
96
informed consent at enrollment.
97
2.2 Dietary assessment
98
The SHFCS collected the data of the food frequency questionnaire (FFQ) survey. Since renal
99
function may be affected by protein or other nutrients, we used the data from the FFQ to
100
calculate the dietary intake of nutrients including protein, fat, carbohydrate, fiber, calcium,
101
phosphorus, potassium, and magnesium. The FFQ in SHFCS was self-designed and
102
semi-quantitative and has been described elsewhere [9].
103
2.3 Measurement of urinary melamine
104
Spot urine samples were collected in glass tubes capped with polypropylene lids and frozen at
105
-80 ℃ immediately after collection. The melamine in urine was measured by the
106
ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS)
107
method coupled to off-line solid phrase extraction (SPE) according to Panuwet et al [26].
108
Briefly, 1 mL of each urine sample was thawed, transferred to a 50 mL plastic centrifuge tube,
109
and spiked with 125 µL isotopic (13C3) internal standard (400 µg/L), 150 µL hydrochloric
110
acid (1 mol/L), and 15 mL acetonitrile/water (70:30, v/v). Then, they were ultrasonically
111
extracted for 15 min, vortex-mixed and centrifuged at 12000 r/min for 15 min. The
112
supernatant was loaded into a PXC column (Dikma, China; 150mg/6mL) which was
113
previously activated with 6 mL methanol and 6 mL water. After sample loading, the column
114
was washed with 9 mL water and 6 mL methanol. Next, 8 mL ammonium methanol (5:95, v/v)
115
was added to elute melamine. The elute was concentrated under a stream of dry nitrogen at
116
50 °C. Finally, the residue was reconstituted with 1 mL acetonitrile/water (94:6, v/v), passed
117
through a 0.22 µm filter and analyzed (2µL) by a Waters ACQUITY UPLC coupled with a
118
Waters Xevo TQ-S micro triple quadrupole mass spectrometer (Waters, USA).
119
An internal standard method was used to quantify the target metabolite. The calibration range 5
120
was from 0.5 to 200 µg/L and the standard calibration curve had a regression coefficient (r) of
121
0.9999. For every 20 samples, two procedural blank and four pre-extraction matrix-spiked
122
samples by fortifying with known concentrations of standard (10 µg/L) were processed. The
123
average recoveries and relative standard deviations (RSD) of the target metabolite were
124
98.5% and 3.0% at 10 µg/L, and 98.2% and 1.0% at 50 µg/L, respectively. The limits of
125
detection (LOD) was calculated at a signal-to-noise (S/N) of 3, with a concentration of 0.1
126
µg/L (Supplementary Table 1).
127
The concentration of melamine was adjusted by creatinine to correct urine dilution.
128
Creatinine was measured using an automatic biochemical analyzer (ARCHITECT C8000,
129
Abbott Laboratories, Illinois, USA).
130
2.4 Measurement of urinary metabolites of phthalates
131
We used the method of liquid chromatography tandem mass spectrometry (LC-MS/MS) to
132
determine 10 urinary metabolites of 6 parent phthalates, including metabolites of dimethyl
133
phthalate (DMP), diethyl phthalate (DEP), di-n-butyl phthalate (DnBP), di-iso-butyl phthalate
134
(DiBP), and benzyle butyl phthalate (BBP), which were monomethyl phthalate (MMP),
135
monoethylphthalate (MEP), mono-n-butylphthalate (MnBP), monoisobutylphthalate (MiBP),
136
and
137
mono-2-ethylhexylphthalate
138
mono-2-ethyl-5-hydroxyhexylphthalate (MEHHP), mono-2-ethyl-5-carboxypentylphthalate
139
(MECPP), and mono-2-carboxymethyl-hexyl phthalate (MCMHP).
140
The method has been described in our previous study [24]: “Briefly, 1 mL of urine sample
141
was incubated with β-glucuronidase (Helix pomatia; Sigma, Louis, MO, USA; Type HP-2,
142
aqueous solution, ≥ 100,000 units/mL) at 37 °C for 120 min. The sample was subsequently
143
acidified with 1 mL of aqueous 2% (v/v) acetic acid, mixed with 100 µL of internal standard
144
(100 µg/L), and loaded into a PLS column (Dikma, China; 60 mg/3 mL) previously activated
145
with 2 mL methanol and 2 mL of aqueous 0.5% (v/v) acetic acid. After sample loading, the
146
column was washed with 2 mL of aqueous 0.5% (v/v) acetic acid and eluted with 1 mL of
147
methanol. The eluate was passed through a 0.2-µm filter and analyzed (10 µL) by LC-MS/MS
mono-benzylphthalate
(MBzP) ; and (MEHP),
metabolites
of
DEHP,
mono-2-ethyl-5-oxohexylphthalate
6
which
are
(MEOHP),
148
(Shimadzu, USA; API 4000 LC/MS/MS system) coupled to an AQUASIL C18 column (150
149
× 4.6 mm; Thermo Fisher Scientific, Inc., USA). For each batch of 30 samples analyzed, two
150
procedural blanks and four matrix-spiked samples at two different spiking concentrations (10
151
and 25 ng/mL) were processed. The average recoveries and relative standard deviations (RSD)
152
of target metabolites in spiked samples respectively ranged from 71.5% to 109.1% and from
153
1.2% to 7.4% at 10 ng/mL, and ranged from 58.5% to 139.2% and from 0.8% to 8.1% at 25
154
ng/mL. Trace concentrations of MEP, MnBP, MiBP, and MEHP were detected in procedural
155
blanks with average concentrations and RSDs ranging from 0.05 to 0.8 µg/L and from 3.7%
156
to 9.3%, respectively. Sample concentrations of these metabolites were determined after
157
subtraction of the blank values.” The results of quality assurance and quality control are
158
presented in Supplementary Table 1. The concentrations of 10 metabolites were adjusted by
159
creatinine and expressed as µg/g creatinine.
160
2.5 Measurement of biomarkers of renal function
161
Urinary
162
N-acetyl-β-d-glucosaminidase (NAG), reported as good and early indicators for impaired
163
renal function, were measured according to previous methods [27–32]. Briefly, ALB and
164
B2M were measured using enzyme-linked immunosorbent assay (ELISA), while NAG was
165
measured using the P-nitrophenol colorimetric method [27, 28]. The concentrations of ALB,
166
B2M, and NAG were adjusted by urinary creatinine. The albumin-to-creatinine ratio (ACR)
167
is one of the key markers for chronic kidney disease (CKD); thus, the creatinine-adjusted
168
albumin was shown as ACR rather than ALB in this study [33].
169
2.6 Statistical analyses
170
All analyses were performed using SPSS version 23.0 (IBM SPSS, USA). The value of 1/2
171
LOD was assigned to chemical concentrations below the LOD. Because of the skewed
172
distribution, urinary melamine, phthalate metabolites, and renal function parameters were
173
natural log–transformed. Two-sided p-values <0.05 were considered to be statistically
174
significant.
175
A 2-step procedure was used to explore the relationship between chemical exposure and
parameters
of
albumin
(ALB),
7
β2-microglobulin
(B2M),
and
176
impaired renal function:
177
(1) The first step was to assess the effects of melamine and phthalates independently using
178
linear regression models. We have previously reported phthalate exposure in association with
179
impaired renal function in a larger sample size of this population. In this study, we use
180
another strategy to explore the effects of phthalates on impaired renal function. Since
181
phthalate metabolites were strongly correlated with each other (Supplementary Table 2), we
182
used principal component analysis (PCA) to generate summary measures of co-exposure to
183
phthalates before conducting the regression analyses. Briefly, the Kaiser–Meyer–Olkin
184
Measure of Sample Adequacy and the Bartlett Test of Sphericity were firstly used to assess
185
the data adequacy of PCA; then, the PCA with varimax rotation was applied to the natural
186
log–transformed concentration of metabolites, and the component scores for each participant
187
were calculated representing how closely the phthalate metabolites in a subject’s urine sample
188
conform to identify exposure patterns. Three patterns (HMWP pattern, DBP pattern, and the
189
DMP & DEP pattern) were ultimately selected in this study. We used multiple linear
190
regression to test whether or not these patterns were associated with renal function
191
biomarkers. Since the HMWP pattern and melamine exposure were both positively associated
192
with impaired renal function, they were selected for the second step analyses.
193
(2) The second step assessed the co-exposure to melamine and phthalates (HMWP pattern).
194
Both multiplicative and additive effects of such co-exposure were investigated in our data set.
195
The additive effect was assessed by analyzing a combination score of co-exposure. Firstly,
196
both melamine and HWMP pattern were categorized as 0, 1, 2 and 3 according to their
197
step-by-step quartile concentrations, respectively; secondly, a combination score was created
198
by summarizing the category score of both melamine and HWMP pattern; finally, linear
199
regression analyses between the combination score and renal function parameters were used
200
to explore the additive effect of co-exposure.
201
All regression analyses in this study were adjusted for age, sex, education, occupation,
202
ethnicity, physical activity, marital status, smoking status, drinking status, body mass index
203
(BMI), diabetes, systolic blood pressure, diastolic blood pressure, and nutrients (protein, fat,
204
carbohydrate, fiber, calcium, phosphorus, potassium, and magnesium). Among these 8
205
covariates, the age, sex, disease status of diabetes and high blood pressure, and nutrition
206
intake have been well investigated to be associated with renal function [1, 4, 34-38].
207
As nutrients were correlated, we also used PCA to generate summary nutrient consumption
208
patterns. Sensitivity analysis was done using nutrient patterns adjusted in linear regression
209
models to investigate the association between renal function and environmental chemicals
210
(Supplementary Table 3)
211
3. Result
212
3.1 Basic characteristics
213
The general characteristics of the study participants are shown in Table 1. Of the 611
214
participants, 286 (46.8%) were male. The prevalence of diabetes was 7.2%. The median
215
urinary melamine was 3.2 µg/g Cr (interquartile range: 0.11–20.51 µg/g Cr).
216
Supplementary Table 4 compares the basic characteristics of included and excluded adult
217
participants. Excluded participants tended to be younger, were more often Han Chinese, and
218
had a lower education level. In addition, both groups were also significantly different in the
219
characteristics of occupation and physical activity.
9
220
Table 1. Demographic characteristics, clinical parameters, and nutrient intake of study
221
population (n=611). Characteristic Age, n (%) ≤ 45 45–60 > 60 Sex, n (%) Male Female Ethnicity, n (%) Han Other Education, n (%) ≤ Middle school ≥ High school Occupation, n (%) Student Official or intellectual Worker Retiree Other Physical activity, n (%) Light Moderate Vigorous Marital status, n (%) Married Others Smoking status, n (%) Never smoked Current/past smoker Drinking status, n (%) Never drank Current/past drinker Diabetes, n (%) No Yes Systolic blood pressure, median (IQR), mm Hg Diastolic blood pressure, median (IQR), mm Hg BMI, median (IQR), kg/m2 10
Total 158 (25.9) 234 (38.3) 219 (35.8) 286 (46.8) 325 (53.2) 599 (98.0) 12 (2.0) 253 (41.7) 358 (58.3) 18 (1.3) 116 (19.0) 23 (3.8) 295 (48.3) 159 (27.6) 272 (44.5) 138 (22.6) 201 (32.9) 531 (86.9) 80 (13.1) 458 (75.0) 153 (25.0) 395 (64.6) 216 (35.4) 567 (92.8) 44 (7.2) 120 (120, 130) 80 (78, 80) 23.2 (21.1, 25.4)
Protein, median (IQR), g Fat, median (IQR), g Carbohydrate, median (IQR), g Fiber, median (IQR), g Calcium, median (IQR), mg Phosphorus, median (IQR), mg Potassium, median (IQR), mg Magnesium, median (IQR), mg Melamine, median (IQR), µg/g Cr ACR, median (IQR), mg/mmol Cr B2M, median (IQR), µg/mmol Cr NAG, median (IQR), U/mmol Cr
71.42 (55.61, 88.70) 31.29 (21.82, 47.61) 234.09 (178.62, 288.34) 10.70 (7.56, 14.40) 475.13 (340.46, 649.41) 906.92 (701.85, 1142.65) 1693.18 (1259.37, 2107.98) 220.38 (159.90, 278.65) 3.25 (0.11, 20.51) 1.64 (0.77, 3.19) 9.31 (2.17, 28.81) 0.65 (0.32, 1.27)
222
BMI, body mass index; ACR, albumin–creatinine ratio; B2M, β2-microglobulin; NAG,
223
N-acetyl-β-d-glucosaminidase; IQR, interquartile range.
224
3.2 Relationship between urinary biomarkers of melamine exposure and renal function
225
Linear regression analyses revealed that melamine exposure was significantly associated with
226
ACR and B2M in the three different models adjusted for specific covariates and with NAG
227
only in model 1 (Figure 1).
11
228 229
Figure 1. Linear regression analyses of urinary melamine in association with renal function
230
parameters. Model 1: unadjusted; Model 2: adjusted for age, sex, ethnicity, education,
231
occupation, physical activity, marital status, smoking status, drinking, body mass index,
232
diabetes, systolic blood pressure, diastolic blood pressure; Model 3: adjusted for age, sex,
233
ethnicity, education, occupation, physical activity, marital status, smoking status, drinking,
234
body mass index, diabetes, systolic blood pressure, diastolic blood pressure, and nutrients
235
(protein, fat, carbohydrate, fiber, calcium, phosphorus, potassium, and magnesium).
12
236
3.3 Impaired renal function in association with co-exposure to multiple phthalates
237
For phthalate metabolites, PCA identified three patterns with eigenvalues over 1 (Figure 2),
238
named the “HWMP pattern”, “DBP pattern” and “DMP & DEP pattern”, which accounted for
239
40%, 17% and 12% of the total variance, respectively. These three patterns were mainly
240
loaded with the metabolites of HMWP, DBP, and two low-molecular-weight phthalates (DMP
241
and DEP), respectively.
242
The component scores of the HMWP pattern were positively associated with renal function
243
parameters (ACR, B2M, and NAG), while DBP pattern were negatively associated with these
244
parameters (Supplementary Table 3).
245 A.
B.
246 247
Figure 2. Principal and varimax-rotated component loading weights for metabolites of
248
phthalates in urine. (A) Principal component loading; (B) varimax-rotated component loading.
249
HMWP: high-molecular weight phthalates.
250 251
3.4 Impaired renal function in association with co-exposure to melamine and phthalates
252
Since impaired renal function was found to be independently associated with the exposure to
253
both melamine and phthalates of the HWMP pattern, we further assessed the interaction 13
254
effects of co-exposure. Table 2 presents the results of multiplicative analyses, showing no
255
significant effect on both ACR and NAG, but a negative effect on B2M (Table 2). Figure 3
256
presented the results of additive analyses, showing significant associations between
257
co-exposure and all three parameters of impaired renal function (ACR, B2M, and NAG).
258 259
Table 2. The interactive analyses of co-exposure to urinary metabolites of melamine and
260
high-molecular-weight phthalates (HMWP) on renal function parameters by linear regression
261
models. ACR
B2M
NAG
β
p-value
β
p-value
β
p-value
Melamine
0.018
0.033
0.029
0.019
0.012
0.100
HMWP Pattern
0.083
0.001
0.125
0.001
0.092
<0.001
Melamine*HMWP Pattern
-0.012
0.143
-0.025
0.038
0.008
0.255
262
Data were adjusted for age, sex, ethnicity, education, occupation, physical activity, marital
263
status, smoking status, drinking, body mass index, diabetes, systolic blood pressure, diastolic
264
blood pressure, and nutrients (protein, fat, carbohydrate, fiber, calcium, phosphorus,
265
potassium, and magnesium).
14
A.
266 B.
267 C.
268 269
Figure 3. Linear regression analyses of a combination score of co-exposure in association
270
with renal function parameters. (A) ACR; (B) B2M; (C) NAG. Results were presented as
271
median scores with 95% confidence interval. N: number of cases; S: a combination score for
272
ranking the co-exposure to melamine and phthalates of the HMWP pattern, where a higher
273
number represents a higher level of co-exposure. Data were adjusted for age, sex, ethnicity,
274
education, occupation, physical activity, marital status, smoking status, drinking, body mass
275
index, diabetes, systolic blood pressure, diastolic blood pressure, and nutrients (protein, fat,
276
carbohydrate, fiber, calcium, phosphorus, potassium, and magnesium). 15
277
4. Discussion
278
In this cross-sectional study, we found the risk of impaired renal function was associated with
279
independent exposure to melamine and HMW phthalates, respectively. Their co-exposure
280
increased this risk by mainly showing an additive effect.
281
4.1 Melamine exposure and impaired renal function
282
In this study, melamine had a median concentration of 0.38 µg/mmol Cr (unadjusted median
283
concentration: 2.60 µg/L, geometric mean: 1.14 µg/L). Previous studies reported a geometric
284
mean of 2.37 µg/L in 477 samples from the U.S. general population, and a median
285
concentration of 4.7 µg/L in 109 U.S. children, as well as a median concentration ranging
286
from 0.78 to 1.7 µg/mmol Cr in children from Taiwan and Hongkong [15, 26, 39, 40]. These
287
data indicated that the melamine exposure was at a similar level in our study to that in
288
previous reports.
289
People may be exposed to melamine through several pathways. During the milk scandal,
290
melamine was illegally added to milk products to mimic the high protein content [11]. If
291
people continue to use the Kjeldahl method of measuring nitrogen content to assess the
292
protein content, this adulteration might still persist. Melamine has been reported to be capable
293
of migrating from melamine–formaldehyde tableware when heating food inside it (especially
294
when microwaving sour food) [41]. Melamine was also reported to come from the use of
295
cyromazine pesticide, which was used for insectcontrol and able to be metabolized into
296
melamine via a dealkylation reaction in both plants and animals [42-44]. Melamine is not
297
easily degraded and is mainly excreted via the urine tract, and therefore may consistently
298
persist in the environment [11, 39, 45]. Former studies have reported melamine
299
contamination in different environmental media including air, indoor dust, soil, sewage
300
sludge, sediments, et al. [6, 46-49]. It is currently unknown which sources and pathways are
301
the main reasons for extensive exposure to melamine in humans.
302
Kidney disease is the most common health outcome related to melamine exposure. Most
303
previous studies have reported melamine-induced urinary tract calculi in infants for the
304
reason of consuming adulterated formula, while little is known about other nephrotoxic 16
305
effects of chronic exposure to a low level of melamine from the living environment,
306
especially in general adults [50]. Compared with urinary tract calculi, impaired renal function
307
may serve as an earlier indicator before the calculi are able to be found in the clinic (e.g., by
308
ultrasonography). Several epidemiology studies have reported that melamine exposure was
309
positively associated with impaired renal function. A study involving 44 workers (16
310
manufacturers, 8 grinders, 10 packers, and 10 administrators) at two melamine
311
tableware-manufacturing factories in Taiwan found that urinary B2M and NAG were
312
significantly raised in manufacturers when compared to non-exposed workers, but this
313
significant association was not found for urinary ACR [6]. Similar results were found in
314
another study which enrolled 309 patients in Taiwan, which reported that melamine exposure
315
was significantly associated with higher concentrations of urinary B2M and NAG, but not
316
ACR [8]. Unlike these two studies in Taiwan, our data showed positive results of not only
317
B2M and NAG, but also ACR. Both B2M and NAG have been recognized as useful
318
biomarkers for early renal tubular injury, while urinary ACR usually serves as an early
319
indicator of glomerular dysfunction [29-32]. These three biomarkers represent different target
320
tissues of nephrotoxicity. Thus, most previous studies suggested environmental melamine
321
mainly damaged the renal tubular area rather than the glomerular area. However, a recent
322
Taiwanese study reported a positive association between melamine exposure and urinary
323
ACR in children, which corresponded with our observation [10]. More studies are wanted for
324
exploring the effect of melamine exposure on glomerulus.
325
No mater tubular or glomerular injury, they may share common pathways. Two possible
326
mechanisms have been proposed for the impaired renal function: (1) melamine may serve as
327
a nidus to aggressive stone formation, while patients with calcium urolithiasis were suggested
328
to have significantly higher urinary NAG, which indirectly supported the mechanism that
329
melamine exposure affects renal function via the promotion of stone formation [51, 52]; (2)
330
chronic exposure to melamine could induce impaired renal function via oxidative stress.
331
Hsieh et al. stimulated human renal proximal tubular HK-2 cells with melamine and
332
demonstrated that melamine could active MAPK, nuclear factor kappa beta (NFκB), and
333
ROS, which results in the upregulation of inflammatory factors (interleukin-6 (IL-6),
17
334
monocyte chemoattractant protein-1, and vascular cell adhesion molecule-1) and tumor
335
growth factor beta-1 (TGF-β1) [53]. In macrophage-like cell line RAW 264.7 and human
336
embryonic kidney cell line HEK293, melamine was found to activate NADPH oxidase (NOX)
337
accompanied by an increase in ROS production [54]. In addition, Li et al. reported that
338
apocynin and catechin could prevent melamine-related urolithiasis by decreasing oxidative
339
stress in vitro (HK-2 cells) and in vivo (male Sprague–Dawley rats) [55, 56]. These studies
340
demonstrated the importance of oxidative stress in melamine-induced renal toxicity.
341
4.2 Phthalates exposure and impaired renal function
342
We previous reported that exposure to some HMW phthalates (DEHP and MBzP) is
343
positively associated with impaired renal function [9]. Here, we used the method of PCA to
344
assess patterns of exposure in association with impaired renal function. A positive association
345
between HMWP pattern score and renal function parameters (ACR, B2M, and NAG) was
346
found in this study, which was in accordance with the results of the single metabolite analyses
347
in our previous study. We have also discussed the finding of HMWP (DEHP and MBzP) in
348
association with both glomerular (ACR) and tubular (B2M and NAG) biomarkers of renal
349
function in the previous study [9]. In this study, a co-exposure index of multiple phthalates
350
(HMWP pattern) was generated using the PCA method for simplifying the analyses of the
351
impaired renal function of co-exposure to both melamine and phthalates.
352
4.3 Impaired renal function in association with the co-exposure to melamine and
353
phthalates
354
Our data showed that independent exposure to either melamine or HMW phthalates was
355
associated with impaired renal function. This association was also found when considering
356
the interactive effect of co-exposure to both types of chemicals. Such an interactive effect
357
was found to be additive but not multiplicative. The linear regression model of multiplicative
358
effects even found that co-exposure presented a negative association on B2M (Table 2). Such
359
an unexpected result was also found when the co-exposure group with the highest
360
combination score (category 6) had a lower concentration of urinary B2M than other groups
361
(category 4 and 5) (Figure 3). It might be possible that the small subsample of category 6 (N
18
362
= 47) had occasionally lower urinary B2M. It should be noted that an association across the
363
categories was statistically more reliable than the comparison between individual categories.
364
Therefore, the results of interactive effects in Table 2 and Figure 3 were more trustworthy to
365
be explained as additive but not multiplicative.
366
One study from Taiwan also reported the interactive effect between current melamine
367
concentrations and past DEHP exposure, but not current DEHP exposure on urinary ACR
368
[10]. Unlike Taiwanese reports, the correlations between renal function parameters and
369
chemical exposure (both melamine and phthalates) in our data existed in more parameters in
370
the analyses of either independent or additive models of chemical exposure. Since the
371
exposure levels in our data were similar in melamine but lower in phthalates than in
372
Taiwanese reports, the different findings in our data and Taiwanese reports may suggest that
373
the renal toxicity of these two types of chemicals was more sensitive in adults than in
374
children. However, this suggestion needs to be clarified in future studies.
375
4.4 Strengths and limitations
376
The main strength of this study is that this is the first study to our knowledge reporting
377
impaired renal function in healthy adult in association with low level of exposure to
378
melamine, while previous studies only investigated sensitive populations (children and
379
calcium urolithiasis patients) or workers at high-dose melamine exposure levels.
380
This study also has some limitations. Firstly, the study design is cross-sectional, thus a
381
reverse causality may exist. Secondly, biomarkers for melamine and phthalate exposure as
382
well as impaired renal function were assessed in single-spot urine samples. Since both
383
melamine and phthalates have short half-lives, a single-spot urine sample reflects the nature
384
of short-term exposure, unless the participants maintain their lifestyle (in this situation, a
385
single measurement may serve as the snapshot of long-term exposure) [11, 57, 58]. Thirdly,
386
blood samples were not collected in this survey, thus we were unable to assess other
387
important renal function parameters, e.g. glomerular filtration rate (GFR). Fourthly, 2436
388
participants were excluded from the analysis, while some demographic characteristics (age,
389
education, ethnicity, education, occupation, and physical activity) differed from those of
19
390
included participants. As no modified effect of these factors were found, results in the final
391
sample size of this study may still reflect the true effects.
392
5. Conclusion
393
In summary, this study presents associations of two environmental chemicals (melamine and
394
HWM phthalates) with impaired renal function. In addition, co-exposure to these toxins
395
increases the risk of impaired renal function.
396
6. Acknowledgments
397
We thank all participants for their participation and kind assistance. This work was supported
398
by the National Natural Science Foundation of China (grant number 31741105) and the
399
Major State Research Development Program of China (grant number 2016YFD0400602).
400 401
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Highlights
Melamine and phthalates nephrotoxicity in general adults was reported.
Urinary melamine was positively associated with not only β2-microglobulin (B2M) and N-acetyl-β-d-glucosaminidase (NAG), but also Albumin-to-creatinine ratio (ACR).
Co-exposure to melamine and high-molecular-weight (HMW) phthalates had additive effects on biomarkers of renal function.
Declaration of interests ☒ 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. ☐The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: