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Ecotoxicology and Human Environmental Health
Hepatotoxic Effects of Hexafluoropropylene Oxide Trimer Acid (HFPOTA), A Novel Perfluorooctanoic Acid (PFOA) Alternative, on Mice Nan Sheng, Yitao Pan, Yong Guo, Yan Sun, and Jiayin Dai Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b01714 • Publication Date (Web): 21 Jun 2018 Downloaded from http://pubs.acs.org on June 22, 2018
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Environmental Science & Technology
Hepatotoxic Effects of Hexafluoropropylene Oxide Trimer Acid (HFPO-TA), A Novel Perfluorooctanoic Acid (PFOA) Alternative, on Mice Nan Sheng†, Yitao Pan†, Yong Guo₤ Yan Sun₤ and Jiayin Dai†a
†
Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology,
Chinese Academy of Sciences, Beijing 100101, China ₤
Key Laboratory of Organofluorine Chemistry, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, Shanghai 200032, China
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Abstract
2
As an alternative to perfluorooctanoic acid (PFOA), hexafluoropropylene oxide trimer
3
acid (HFPO-TA) has been increasingly used for fluoropolymer manufacture in recent
4
years. Its growing detection in environmental matrices and wildlife raises
5
considerable concern about its potential health risks. Here we investigated the effects
6
of HFPO-TA on mouse liver following 28 days of exposure to 0.02, 0.1, or 0.5
7
mg/kg/d of HFPO-TA via oral gavage. Results showed that HFPO-TA concentrations
8
increased to 1.14, 4.48, and 30.8 µg/mL in serum and 12.0, 32.2, and 100 µg/g in liver,
9
respectively. Liver injury, including hepatomegaly, necrosis, and increase in alanine
10
aminotransferase activity, was observed. Furthermore, total cholesterol and
11
triglycerides decreased in the liver in a dose-dependent manner. Liver transcriptome
12
analysis revealed that 281, 1 001, and 2 491 genes were differentially expressed (fold
13
change ≥ 2 and FDR < 0.05) in the three treated groups, respectively, compared with
14
the control group. KEGG enrichment analysis highlighted the PPAR and chemical
15
carcinogenesis pathways in all three treatment groups. Protein levels of genes
16
involved in carcinogenesis, such as AFP, p21, Sirt1 C-MYC, and PCNA, were
17
significantly increased. Compared with previously published toxicological data of
18
PFOA, HFPO-TA showed higher bioaccumulation potential and more serious
19
hepatotoxicity. Taken together, HFPO-TA does not appear to be a safer alternative to
20
PFOA.
21
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INTRODUCTION
23
Per- and polyfluoroalkyl substances (PFASs), represented by perfluorooctanoate
24
(PFOA) and perfluorooctane sulfonate (PFOS), have been used in industrial
25
applications for over six decades.1, 2 Based on in-depth studies, however, long-chain
26
PFASs (containing more than six perfluorinated carbons) have been found to be
27
environmentally persistent, potentially bio-accumulative, and biologically toxic,
28
resulting in their phasing out and greater regulation.3-5 In 2006, the 2010/2015 PFOA
29
Stewardship Program was signed by the U.S. Environmental Protection Agency and
30
eight related manufacturers to eliminate all usage of PFOA, a well-known C8 PFAS,
31
by 2015.6 Furthermore, in 2015, a proposal to restrict the production, usage, and
32
marketing of PFOA, its salts and related substances in the European Union was
33
accepted by the Risk Assessment Committee of the European Chemicals Agency.7
34
In light of the above regulations, the use of environmentally-friendly alternatives
35
to replace PFOA, such as shorter chain homologues and other fluorinated chemicals,
36
has become a global trend.8 PFOA alternatives used in fluoropolymer resin
37
manufacturing include perfluoroalkyl ether carboxylic acids (PFECAs), such as
38
ammonium
39
(3,5,7-trioxaoctanoic) acid (PFO3OA), perfluoro (3,5,7,9-tetraoxadecanoic) acid
40
(PFO4DA), and oligomeric hexafluoropropylene oxide (HFPO).9-12 Although many
41
alternatives have been produced and utilized, their safety to the environment, wildlife,
42
and humans remains unclear. Very little information about their environmental fate,
43
toxicokinetic behavior, or toxicity is publicly available,9 although scientific research
4,8-dioxa-3H-perfluorononanoate
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(ADONA),
perfluoro
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on these alternatives has seen some progress, especially regarding their environmental
45
occurrence. For example, seven different PFECAs have been detected in drinking
46
water treatment plants in the Cape Fear River watershed11 and ADONA has been
47
detected in the Alz River at a concentration range of 0.32–6.2 µg/L in 2008 and 2009,
48
much higher than that of PFOA in the same samples.13 A recent study also identified
49
ADONA in plasma samples collected from people living in South Germany.14 HFPO
50
dimer acid (HFPO-DA, commercial name GenX) has also been detected in recent
51
water samples from the North Sea, Rhine River, and Xiaoqing River.15 In our previous
52
study, we detected its homologue, HFPO trimer acid (HFPO-TA), at considerable
53
concentrations in water and common carp samples from Xiaoqing River and in sera
54
samples from local residents.16 It is worth noting that the concentration of HFPO-TA
55
in Xiaoqing River samples reached 68.5 µg/L, ranking second after PFOA for all
56
PFASs in both water and biological samples. HFPO-TA has also been found in frogs
57
living near fluoropolymer manufacturing plants.17
58
Due to the inserted ether oxygens in their perfluorinated carbon backbones,
59
PFECA alternatives are more hydrophilic during elimination via the kidney, and thus
60
more labile to be metabolized.10 These ether oxygens also generate structural torsion
61
and change the binding mode of PFECAs to human liver fatty binding acid
62
(hL-FABP), an essential protein in PFOA-induced hepatotoxicity.18 Whether the toxic
63
effects of PFECAs decrease compared with those of PFOA and whether the toxic
64
mechanism differs require further investigation. Due to the difficulties in purchasing
65
chemicals of sufficient quantity and quality, performing appropriate toxicity tests for
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these novel alternatives can be challenging. Thus, to date, only a few studies have
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reported on the toxicities of PFECA alternatives. As summarized by Gordon, ADONA
68
is somewhat orally toxic but not developmentally toxic in rats, and can induce mild
69
skin irritation in mice and rabbits, but is not genotoxic.19 Gannon et al. claimed that
70
HFPO-DA can be rapidly and completely absorbed in rodents without metabolism,
71
with elimination half-lives of 5 h and 20 h for rats and mice, respectively.20 Although
72
HFPO-DA appears to be of low risk to aquatic organisms, it has been reported to
73
induce liver injury in rodents after both sub-acute and chronic exposure and produce
74
benign tumors in the liver, pancreas, and testes of rats.21,22,23 Furthermore, like PFOA,
75
ADONA and HFPO-DA can induce hepatotoxicity in rodents via activation of the
76
peroxisome proliferator-activated receptor α (PPARα) pathway.19, 22, 23 Our previous
77
study showed that HFPO-TA induced more serious cytotoxicity and stronger
78
hL-FABP binding capacity than PFOA.18 Thus, research on the hepatotoxicity of
79
HFPO-TA in vivo is critical.
80
In the present study, we investigated the effects and hazards of low dose
81
HFPO-TA on the mouse liver and compared its effects with previous studies on PFOA.
82
High-throughput RNA sequencing (RNA-seq) was conducted to explore the effects of
83
HFPO-TA exposure on hepatic transcripts. The aims of this study were to (1)
84
investigate whether HFPO-TA exposure induces toxic effects on mouse liver under
85
low dose concentrations; (2) explore the possible mechanism of its hepatotoxicity;
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and (3) determine whether HFPO-TA is a safer alternative by comparing its
87
toxicological data with that of PFOA.
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MATERIALS AND METHODS Chemicals
and
experimental
animals.
HFPO-TA
(CAS
No.
90
CAS:13252-14-7 >98.0% purity) was synthesized as described in our previous
91
study.16 Pure HFPO-TA was then dissolved with Milli-Q water to 1 g/L as stock
92
solution for the mouse exposure experiments or with methanol for the analysis of
93
HFPO-TA in mice.
94
Previous studies have reported sex differences in the bioaccumulation and
95
elimination of PFASs, which might relate to the ovulation cycle in females.24,
96
Considering our aim to measure the bioaccumulation potential of HFPO-TA, only
97
male mice were used in the present study. Male BALB/c mice (aged 6–8 weeks) were
98
purchased from the Beijing Vital River Experimental Animals Centre (Beijing, China)
99
and housed under standard conditions (temperature, 23 ± 1 °C; humidity, 60 ± 5%;
100
light/dark cycle, 12-/12-h). After one week of adaptation, 60 mice were randomly
101
divided into four groups of equal size and treated with different concentrations of
102
HFPO-TA via oral gavage. Based on previous studies24, which showed that sub-acute
103
exposure to 1 mg/kg/d of PFOA (21 days to 30 days) induced significant liver injury,
104
we choose 0, 0.02, 0.1, and 0.5 mg/kg/d as the HFPO-TA exposure dosages and 28
105
days as the exposure time. The volume of HFPO-TA given to each mouse was
106
determined by its body weight (20 µL/g body weight). Food intake was weighed
107
when the body weight of the mice in each group showed significant differences (Day
108
22 to Day 28), with details shown in the Supporting Information (SI). After 28 days of
109
continuous exposure, all mice were sacrificed and sampled for analysis. All
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procedures were approved by and performed in accordance with the Ethics
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Committee of the Institute of Zoology, Chinese Academy of Sciences.
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HFPO-TA content in serum and liver samples. Mouse livers were first
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homogenized with ultrapure water (1:10 w/v) by a sonicator. The HFPO-TA in serum
114
and liver was then extracted and detected, as described in our previous study.16 Briefly,
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serum and liver homogenate samples (20 µL) were spiked with mass-labeled standard
116
(0.5 ng), tetra-n-butylammonium hydrogen sulfate solution (0.5 M, 1 mL),
117
NaHCO3/Na2CO3 buffer (pH = 10, 2 mL), and methyl tert-butyl ether (MTBE) (4 mL).
118
Vigorous shaking and centrifugation were performed to separate the organic and
119
aqueous phases, with the resulting supernatant organic phase collected by glass
120
pipette and the remaining residue extracted with the addition of 4 mL of MTBE twice.
121
After evaporation with nitrogen, 200 µL of methanol was added for reconstitution.
122
The HFPO-TA content was analyzed by an API 5500 triple-120 quadrupole mass
123
spectrometer
(AB
SCIEX,
Framingham,
MA,
124
reaction-monitoring (MRM) in negative electrospray ionization (ESI-) mode.
125
Chromatographic separation was accomplished using an Acquity BEH C18 column
126
(100 mm × 2.1 mm, 1.7 µm, Waters, MA, USA) with mobile phases of 2 mM
127
ammonium acetate in water (A) and methanol (B) at a flow rate of 0.3 mL/min. The
128
MRM transitions were 377→293 for 6:2 FTCA (cone voltage, 8 V; collision energy,
129
22 V) and 379→294 (cone voltage, 10 V; collision energy, 22 V). Calibration curves
130
ranging from 0.05 to 20 ng/mL exhibited excellent linearity (R2 128 > 0.999). Matrix
131
recovery was 81% for serum and 79% for liver (n = 6). The limit of quantitation
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under
multiple
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(LOQ) was defined as the lowest standard having a signal-to-noise ratio greater than
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10. In each batch, two method blanks and two matrix spiked samples were conducted
134
for quality assurance. No detectable contamination was found in any batch.
135
Serum biochemical assay and liver lipid levels. Serum enzyme levels and lipid
136
concentrations in the serum and liver samples were quantified according to our
137
previous study.26
138
RNA-seq assay and real-time PCR verification. Total liver RNA was isolated,
139
qualified, and quantified according to previous study26. Three RNA samples from
140
each group (100 µg, RIN > 8.0) were sent to Annoroad Gene Technology Co. Ltd
141
(Beijing, China) for RNA-sequencing, as described in previous studies.23, 26-27 Briefly,
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Bowtie2 v2.2.3. was used to construct a reference genome library, with the reference
143
gene and genome annotation files downloaded from the University of California Santa
144
Cruz (UCSC). Data quality and quantity were guaranteed by performing Perl script,
145
data quantity statistics, Q30 statistics, and base content statistics. Clean data with high
146
quality and quantity were mapped into the reference genome using TopHat v2.0.12
147
software, with the mapping result viewable using the Integrative Genomics Viewer.
148
Reads per kilobase of exon model per million mapped reads (RPKM) and HTSeq
149
v0.6.0 were run to qualify and quantify the expression of genes. Differentially
150
expressed genes (DEGs) (threshold of FDR < 0.05 and absolute value of log2 (RPKM
151
ratio) ≥ 2) were then analyzed with DESeq software and used for annotation,
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functional, and pathway enrichment analyses based on the Database for Annotation,
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Visualization, and Integrated Discovery (DAVID), Gene Ontology (GO), and Kyoto
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Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, respectively,
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using Blast2go and KAAS software.
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Based on the RNA-seq results, real-time PCR (RT-PCR) was conducted to verify
157
the RNA sequencing assay results. RT-PCR analysis was performed as described
158
previously.24 Primer information is listed in Supplementary Table S1.
159
Histological examination of the liver. Hematoxylin-eosin staining (H&E
160
staining) was performed to measure the morphological structure of the liver after
161
HFPO-TA exposure. Oil Red O staining was used to observe lipid accumulation in the
162
mouse liver. Details on H&E and Oil Red O staining are given in the SI.
163 164
Western blot analysis. Protein isolation and Western blotting were performed according to our previous study.26 Details on antibodies are shown in Table S2.
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Statistical analyses. All results were statistically analyzed using SPSS for
166
Windows 17.0 (SPSS Inc., Chicago, IL, USA). Differences between groups were
167
determined using one-way analysis of variance (ANOVA) followed by Duncan’s
168
multiple range test. All experimental data were represented as means with standard
169
errors (means ± SE). A p-value of < 0.05 between groups was considered statistically
170
significant and presented by different letters. All represented data from in vitro
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experiments were assessed from at least three independent experiments.
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RESULTS AND DISCUSSION
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HFPO-TA content in mouse serum and liver. The HFPO-TA concentrations in
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the serum and liver samples of mice after 28 days of exposure are shown in Figure 1.
175
In sera, the HFPO-TA concentrations in the four groups were 0.001, 1.14, 4.48, and
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30.8 µg/ml, respectively; in the livers, the HFPO-TA concentrations were 0.004, 12.0,
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32.2, and 100 µg/g, respectively (Figure 1A and 1B). Interestingly, for the 0.02
178
mg/kg/d- and 0.1 mg/kg/d-treated groups, the concentration of HFPO-TA in the serum
179
samples was equal to that from 186 blood samples collected from wild common carp
180
in Xiaoqing River (~1.50 µg/ml), whereas the concentration of HFPO-TA in the
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mouse liver was many times higher than that detected in the carp liver samples.16 Due
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to the similar structure between HFPO-TA and fatty acid, the increased total protein
183
and albumin (ALB) in the serum samples (Table 1), which participate in fatty acid
184
transportation,31, 32 were likely responsible for the accumulation of serum HFPO-TA.
185
For PFOA and PFOS, binding with ALB not only contributes to their transportation to
186
organs, but also to their accumulation in blood; thus, the increased ALB level in
187
serum after PFOA or PFOS exposure might be responsible for the increased
188
concentrations of PFOA and PFOS in serum.28-30 In our previous study on PFOA, the
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ALB level increased in the 1.25 mg/kg/d and higher dosage groups in a dose-response
190
manner, whereas no significant changes were observed in the 0.08 or 0.31 mg/kg/d
191
exposure groups.28 As shown in Table 1, even the 0.02 mg/kg/d HFPO-TA exposure
192
group showed significantly increased TP and ALB levels, and the increasing trend in
193
all three treated groups was dose-dependent, suggesting that HFPO-TA possibly
194
exhibits higher bioaccumulation potential than PFOA in serum.
195
When we compared the concentration of HFPO-TA in mouse serum and liver
196
with that of PFOA reported by Yan et al.,28 we considered the 0.08, 0.31, and 1.25
197
mg/kg/d PFOA groups to correspond with the 0.02, 0.1, and 0.5 mg/kg/d
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HFPO-TA-treated groups, respectively. The HFPO-TA content in the serum of the
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0.02 and 0.1 mg/kg/d groups was lower than that of PFOA in the serum of the 0.08
200
and 0.31 mg/kg/d groups, whereas the HFPO-TA content in the 0.5 mg/kg/d exposure
201
group was higher than that of PFOA in the 1.25 mg/kg/d-treated mice. The HFPO-TA
202
concentrations in the mouse livers of the three treated groups were higher than the
203
PFOA concentrations in the corresponding PFOA groups, indicating that HFPO-TA
204
might accumulate more easily than PFOA in the liver.
205
The ratios of total HFPO-TA content in the liver versus serum (liver/serum ratio)
206
were calculated and compared with those of PFOA (based on our previous PFOA
207
exposure study using the same species (mice), samples (serum and liver), and
208
exposure time (28 days)) (Figure 1C)28. The liver/serum ratios of HFPO-TA in the
209
three treatment groups (0.02, 0.1, and 0.5 mg/kg/d) were 4.56, 6.15, and 3.20,
210
respectively, whereas the ratios of PFOA in the 0.08, 0.32, and 1.25 mg/kg/d-treated
211
groups increased from 0.598 to 2.17 and then decreased to ~1.00 in the 5 and 20
212
mg/kg/d-treated groups.28, 33 Although comparing these two chemicals under different
213
dosages is somewhat imprecise, the higher liver/serum ratio of HFPO-TA implies that
214
it may be more easily accumulated than PFOA in the liver. Moreover, higher
215
HFPO-TA liver/serum ratios compared with PFOA were been found in our common
216
carp study.16 In that research, we hypothesized that protein binding capacity and
217
hydrophobic properties may lead to the distribution of PFASs in sera and organs.16
218
HFPO-TA reportedly has a stronger binding capacity to human liver fatty acid binding
219
protein (lower dissociation constant) and is more hydrophobic (higher estimated log
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KOW) than PFOA.16, 18 It is worth noting that the liver/serum ratio decreased in the
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higher dose groups for both HFPO-TA and PFOA. Considering that PFAS chemicals
222
can bind to proteins due to their similar structure to fatty acids, we proposed a binding
223
saturation hypothesis for PFAS: that is, with higher exposure dosage, the liver/serum
224
ratio will increase due to increased binding to proteins at the beginning, until a peak
225
value is reached, after which the ratio will decrease once the liver proteins are fully
226
bound, with a final balance occurring after the binding saturation of PFAS to serum
227
proteins. As shown in Figure 1C, the ratio increased from the 0.08 to 1.25
228
mg/kg/d-treated groups and then declined to ~1.00 (5 and 20 mg/kg/d-group ratios
229
were 1.25 and 1.16, respectively), supporting the above hypothesis. The peak value
230
for PFOA and HFPO-TA exposure occurred in the 1.25 mg/kg/d and 0.1
231
mg/kg/d-treated groups, respectively, suggesting that HFPO-TA more easily saturated
232
liver protein compared with PFOA. Along with the higher HFPO-TA absolute level in
233
the liver and the liver/serum ratio, it is reasonable to assume that HFPO-TA exhibits
234
higher accumulation potential than PFOA in mouse liver.
235
HFPO-TA exposure induced liver injury. As shown in Table 1, after exposure
236
to 0.02 mg/kg/d of HFPO-TA for 28 days, although no significant changes in body
237
weight and remaining body weight after liver removal were observed, liver weight
238
and relative liver weight were significantly increased by 50.9% and 48.8%,
239
respectively, compared with the control group. The significantly increased body
240
weight in the 0.1 mg/kg/d HFPO-TA group was responsible for the strikingly high
241
liver weight (~149.7%) (Table 1). For the 0.5 mg/kg/d HFPO-TA-treated group, body
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weight and remaining weight both decreased significantly. Compared with mice in the
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other groups, the decreased food intake of mice in the 0.5 mg/kg/d HFPO-TA group
244
(Figure S1) provides a possible explanation for their decreased body weight. In
245
addition to their enlarged livers (almost four times larger), the significantly decreased
246
body weights of mice in this group suggests a profound impact on mouse health
247
(Table 1). Hepatomegaly, a dominant effect of PFAS exposure, has been observed in
248
mice, rats, and monkeys.34, 35 In our previous study, after PFOA exposure for 28 days,
249
no significant toxic effects were observed in the 0.08 mg/kg/d group; however, PFOA
250
exposure at 0.31 and 1.25 mg/kg/d induced a 27.1% and 105% increase in liver
251
weight, though no significant changes in body weight.28 In comparison, more
252
extensive hepatomegaly was induced in the 0.1 and 0.5 mg/kg/d HFPO-TA-treated
253
groups following exposure than was induced by similar doses of PFOA.
254
In addition to hepatomegaly, pathological changes such as hepatocellular
255
hypertrophy, necrosis, and apoptosis can be induced by exposure to long-chain
256
PFASs.5, 36, 37 As shown in Figure 2A, karyolysis occurred in the three HFPO-TA
257
treatment groups, necrosis appeared in the 0.1 and 0.5 mg/kg/d exposure groups, and
258
obvious cytoplasmic vacuolation and focal necrosis were observed in the 0.5 mg/kg/d
259
exposure group. In addition, the decreased number of cell nuclei within defined liver
260
slice areas from the three treatment groups suggested the induction of enlarged
261
hepatocytes by HFPO-TA exposure (Figure 2B and 2C). Corresponding to the
262
pathological changes observed in the liver sections, serum alkaline phosphatase (ALP)
263
and alanine aminotransferase (ALT) increased significantly and dose-dependently in
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all three treatment groups and aspartate aminotransferase (AST) increased
265
significantly in the 0.5 mg/kg/d HFPO-TA exposure group compared with the control
266
(Table 1). ALT and AST are two transaminases that can be used as biochemical
267
markers for early liver injury. They are stored in the cytoplasm and are released into
268
the bloodstream after liver damage has occurred.38-40 PFOA can induce elevated levels
269
of ALT and AST and other serum parameters associated with liver function such as
270
ALP and total bile acid (TBA).28, 41, 42 Epidemiological studies have also reported
271
positive correlation between PFOA and levels of serum ALT and AST.43-45 Here, the
272
obvious pathological changes and elevated ALT and ALP levels in serum observed in
273
the 0.02 and 0.1 mg/kg/d-treated mice implied that HFPO-TA could induce early liver
274
injury, even under environmentally-relevant exposure doses. Compared with
275
toxicological study of low-dose PFOA, in which no changes of the above parameters
276
were observed following 1.25 mg/kg/d exposure,28 HFPO-TA induced considerably
277
more severe effects on the mouse liver.
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HFPO-TA exposure affected lipid metabolism in mouse liver. Lipid
279
concentrations in the mouse liver are shown in Table 1. With the increase in
280
HFPO-TA dose, both total cholesterol (TCHO) and triglycerides (TG) in the liver
281
decreased. In serum, except for the significantly decreased TG level in the 0.5
282
mg/kg/d exposure group, no obvious changes in TG and TCHO levels were observed
283
(Table 1). As shown in Table 1, low-density lipoprotein (LDL) in serum was
284
significantly increased in the 0.1 and 0.5 mg/kg/d exposure groups, whereas
285
high-density lipoprotein (HDL) changed irregularly. Studies focusing on the effects of
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PFOA on human health have confirmed the positive association between PFOA and
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high cholesterol and TG levels in serum,45-48 in line with the increased TG levels
288
observed in mouse serum after low-dose PFOA exposure (0.31 and 1.25 mg/kg/d for
289
28 days).28 In laboratory animals, exposure to high doses of PFOA has been shown to
290
decrease the levels of serum TCHO, TG, HDL, and LDL.49, 50 In the present study, the
291
changes in lipid levels in serum after HFPO-TA exposure were similar to those after
292
high-dose PFOA exposure28. PFOA treatment can also increase liver lipid levels,
293
which are stored as lipid drops (LDs) in liver cells and transported into the nucleus.49
294
Generally, TG and TCHO in hepatocytes can be secreted into blood circulation by
295
binding with very low-density lipoproteins (VLDLs).49,
296
converted to LDL and HDL and return cholesterol to the liver.51 Although the
297
decreased LDL and HDL levels in the serum after HFPO-TA exposure were in
298
keeping with levels after PFOA exposure, the significantly decreased liver lipid levels
299
detected by absolute concentration and Oil Red O staining (Table 1 and Figure S3)
300
suggest promotion of lipid metabolism rather than blocking secretion of liver lipids
301
that have been observed in PFOA-treated mice28. The contrasting effects on liver
302
lipids between HFPO-TA and PFOA suggest a possible different mechanism for
303
interrupted lipid metabolism. The decreased liver lipid content after both HFPO-TA
304
and PFOA treatment was in keeping with that observed in mice after WY14643
305
treatment,52,
306
PPARα pathway to enhance lipid metabolism in the liver.
307
53
51
VLDLs can then be
a PPARα activator, suggesting that HFPO-TA might activate the
HFPO-TA exposure influenced transcriptome in the liver. RNA transcripts for
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each exposure group were deeply sequenced. Compared with the control group, we
309
identified 281 (157 upregulated, 124 downregulated), 1 001 (620 upregulated, 381
310
downregulated), and 2 491 (1 479 upregulated, 1 012 downregulated) DEGs in the
311
0.02, 0.1, and 0.5 mg/kg/d HFPO-TA exposure groups, respectively (Figure 3A). In
312
total, 184 (123 upregulated, 61 downregulated) DEGs were identified in all three
313
treatment groups (Figure 3A). Enrichment analyses in DAVID and GO terms were
314
carried out for these DEGs, with the changed biological processes shown in Figure 3B,
315
Figure S1, and Table S3. For each exposure group, 64, 206, and 428 biological
316
processes were recognized. A high percentage of DEGs were assigned to: “metabolic
317
processes” such as single-organism metabolic processes, lipid metabolic processes,
318
and long-chain fatty acid metabolic processes; “cellular processes” such as cell cycle,
319
mitotic nuclear division, and cell division; and “regulation of immune system
320
processes”. Based on KEGG pathway analysis of the DEGs, 15, 26, and 52 pathways
321
were significantly enriched in the three HFPO-TA treatment groups, respectively
322
(Figure 3C and Table S4). Ten enriched pathways, mostly involved in metabolism
323
processes, were shared by all three exposure groups. The enriched pathways related to
324
fatty acid metabolism, including retinol metabolism, arachidonic acid metabolism,
325
linoleic acid metabolism, PPAR signaling pathways, and fatty acid degradation,
326
suggest that HFPO-TA exposure could alter lipid metabolism processes in the liver
327
(Table S3). These findings are consistent with the results obtained in laboratory
328
animals following PFOA treatment, which showed that exposure strongly influences
329
liver lipid metabolism.54, 55
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Previous studies have revealed that activation of the PPARα pathway in rodents is
331
an important way in which PFASs elicit toxic effects.45, 50, 54, 56 As an activator of
332
PPARα, PFASs can bind to the ligand binding domain and then activate target gene
333
expression in the PPARα pathway by binding to peroxisome proliferator response
334
elements.56 These target genes are involved in many processes, such as fatty acid
335
uptake, TG catabolism, mitochondrial β-oxidation, and lipoprotein assembly and
336
transport.57,
337
genes activated by PPARγ and other transcriptional regulation factors.59 In the present
338
study, we first measured the expression levels of Ppar genes and PPARα in the mouse
339
liver. Results showed that the mRNA levels of Pparα and Pparγ remained stable after
340
HFPO-TA exposure (Table 2), whereas the protein level of PPARα was increased
341
significantly in the 0.1 and 0.5 mg/kg/d exposure groups, suggesting activation of the
342
PPARα pathway (Figure S5). The expression levels of genes involved in the PPARα
343
pathway were investigated by RNA-seq, followed by RT-PCR verification. No
344
significant changes in Pparα or Pparγ gene expression were observed, whereas
345
downstream genes such as Cyp4a10, Acox1, Scd1, Pltp, Cd36, Slc27a1, and Fabp
346
were significantly increased (q-value or p-value < 0.05) (Table 2). As Cd36, Slc27a1,
347
FABP, and Pltp participate in lipid transportation,60-62 their strong upregulation might
348
be responsible for the uptake of HFPO-TA into hepatocytes and even into nuclei. A
349
similar increase in these genes has also been observed in PFOA-exposed mice.63 In
350
addition to lipid uptake, Slc27a1 also plays a central role in the metabolism of
351
long-chain fatty acids by increasing activity of lipolytic catalyzation.64 The significant
58
Further studies using PPARα knockout mice reported alteration in
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352
increase in expression levels of Slc27a1 after HFPO-TA exposure was responsible for
353
the significantly decreased liver lipid levels. In addition, Cyp4a10, Acox1, and Scd1
354
are involved in fatty acid oxidation and lipogenesis;65 thus, the induction of these
355
genes suggests enhanced oxidation of fatty acids after HFPO-TA exposure, which
356
might be a possible reason for the reduced lipid content in the mouse liver.
357
HFPO-TA disrupted the expression of genes and proteins involved in
358
hepatocellular carcinoma. Increased liver weights and hepatocellular hypertrophy
359
are associated with increased incidences of hepatocellular tumors in rodents.
360
Epidemiological studies have reported positive relationships between PFAS exposure
361
and cancers, especially in occupational workers, including kidney, testicular, and liver
362
cancers.45, 66, 67 In rodents, PFOA exposure is reported to induce tumors in the liver,
363
testicle, pancreas, and breast. In addition, chronic and shorter-term toxicity studies on
364
HFPO-DA have also observed benign tumors in the liver, testes, and pancreas of mice.
365
A possible mechanism for these effects is activation of the PPAR pathways.45, 50, 54 In
366
this study, using KEGG enrichment analysis, we identified chemical carcinogenesis
367
processes at a ratio equal to that of the PPAR signaling pathway, even in the 0.02
368
mg/kg/d HFPO-TA exposure group (Figure 3C and 3D, Table 2). Except for the
369
significantly decreased expression of Cyp2e1, other genes involved in chemical
370
carcinogenesis processes, including Gstt2, Gstt3, Nqo1, Cyp2b C-myc, and Acaa1,
371
were significantly increased, though Afp gene expression was not markedly changed.
372
Among the genes involved in chemical carcinogenesis processes, the GST family is
373
involved in the metabolism and detoxification of numerous endogenous toxins and
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xenobiotics, whereas C-myc affects cell proliferation by influencing p21 expression.68
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C-myc was one of the first oncogenes identified for its high expression levels in
376
hepatocellular carcinoma (HCC), and its interaction with p53 is extremely important
377
for HCC by driving DNA-damaged cells into the cell cycle.69 In the present study,
378
although mRNA levels of p53 were not significantly changed, the markedly increased
379
expression level of C-myc suggested high possibility for HCC. With their
380
upregulation, Cyp2e1 and Cyp2b are reported to play important roles in the
381
carcinogenesis process.70-72 As summarized in a review on chemical carcinogenesis
382
induced by different exposures (particulate matter, benzene, and polycyclic aromatic
383
hydrocarbons), the GST family, Cyp2e1, and Nqo1 are related to these effects.71 In the
384
present study, our data indicated the potential for HFPO-TA to induce hepatocellular
385
tumors by affecting the chemical carcinogenesis pathways.
386
Further detection of the expression levels of related proteins involved in chemical
387
carcinogenesis processes was performed to confirm the effects on mouse liver. As
388
shown in Figure 4, significantly increased AFP levels were observed in the livers of
389
the 0.1 and 0.5 mg/kg/d HFPO-TA exposure groups compared with the control group,
390
indicating the possibility of liver cancer as AFP is a hepatocellular carcinoma
391
bio-marker.73 As a marker of cell proliferation and DNA replication, PCNA was
392
upregulated following PFOA exposure in mice.52 Its upregulation in the present study
393
suggests enhanced effects on mitosis after 0.1 and 0.5 mg/kg/d HFPO-TA exposure.
394
Significantly increased Sirt1 and decreased p21 and MTA2 levels were also observed
395
in the three treatment groups in a dose-dependent manner. Furthermore, C-MYC and
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396
MDM4 levels were increased significantly in the livers of the 0.1 and 0.5 mg/kg/d
397
groups. As reported previously, deficient expression of tumor suppressors such as p53,
398
RB, p21, and p27 has been detected in human liver cancers.74, 75 The expression of
399
p21 is regulated by p53 and C-MYC, whereas p53 is negatively regulated by
400
MDM4.76-78 The increased MDM4 and C-MYC protein levels observed in this study
401
were co-responsible for the decrease of p21 in the liver, suggesting that HFPO-TA
402
exposure may induce abnormal cell proliferation, which may lead to the possible
403
generation of tumors in the liver. In addition, other studies have reported the opposite
404
effects of Sirt1 and MTA2: overexpression of Sirt1 and/or inhibition of MTA2 can
405
inhibit cell growth in cancer.68,
406
decreased MTA2 levels observed in the current study may protect the liver from the
407
generation of tumors.
76, 79
Thus, the significantly increased Sirt1 and
408
To the best of our knowledge, this is the first report on the toxic effects of
409
HFPO-TA on mice, especially at low exposure doses. Collectively, after 28 days of
410
exposure, HFPO-TA exhibited higher bioaccumulation potential than PFOA in mice
411
and was more easily accumulated in the liver. Liver injury, along with decreased lipid
412
content in both serum and liver, was observed even in the 0.02 mg/kg/d HFPO-TA
413
group, indicating that HFPO-TA exposure may result in more serious hepatotoxicity
414
in mice than that of PFOA. Further investigation on the liver transcriptome showed
415
that HFPO-TA exposure enhanced lipid metabolism via activation of the PPAR
416
pathways. In addition, although no tumors were detected in the mouse livers, the
417
changed expression of genes and proteins involved in chemical carcinogenesis
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pathways and/or tumor generation suggest that HFPO-TA has strong carcinogenic
419
potential. Thus, we concluded that HFPO-TA might not be a safe alternative to PFASs.
420
In view of the considerable concentrations of HFPO-TA detected in the environment
421
and its significant hepatotoxicity in mice, further investigations are urgently required,
422
including the toxic effects of HFPO-TA under long-term exposure, its metabolism and
423
half-life in animals, as well as sex and species differences.
ACKNOWLEDGMENTS
This work was supported by National Natural Science Foundation of China (grants 21737004 and 31320103915) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB14040202).
SUPPORTING INFORMATION AVAILABLE Table S1. Sequences of primers used for real-time PCR amplification. Table S2. Information on antibodies used for Western blotting. Table S3. Altered biological processes highlighted by DAVID. Table S4. Enriched KEGG pathways of differentially expressed hepatic sequences after HFPO-TA exposure. Fig. S1. Changes in body weight (A) and food intake (B) of mice during exposure. Fig. S2. Linear fitting for HFPO-TA exposure dosage and HFPO-TA concentration in serum (A) and liver (B), and HFPO-TA mass in the liver (C).
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Fig. S3. Analysis of liver sections stained with Oil Red O. Fig. S4. Highest ranked biological processes enriched by GO analysis for each exposure group. Fig. S5. Protein expression levels for PPARα, representative blots from three experiments, and mean levels of protein bands compared with the control. Values indicate means ± SE (n = 3); error bars indicate standard errors; different letters represent significance between groups at p < 0.05 by ANOVA and Duncan’s multiple range tests.
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Figure Legend Figure 1. HFPO-TA concentrations in the serum (A) and liver (B) of mice and liver/serum ratios of HFPO-TA and PFOA# (C). Error bars indicate standard errors. Different letters represent statistical significance between groups. # indicates that data were obtained from Yan et al. (2014). Figure 2. Histopathological analysis of liver sections stained with hematoxylin and eosin (H&E; 200×) (A). Red arrow indicates karyolysis; black arrow indicates necrosis; blue arrow indicates cytoplasmic vacuolation. Comparison of the average number of cell nuclei within a defined area (1392 × 1040) acquired by inForm v2.0 (B) and manual counting (C). Different letters represent statistical significance between groups.
Figure 3. Effects of HFPO-TA on liver gene expressions obtained by RNA-seq. Venn diagram for differentially expressed genes determined by RNA sequencing (q value < 0.05), red represents upregulated genes, blue represents downregulated genes (A); Number of changed biological processes highlighted by DAVID in the three HFPO-TA-treated groups (B); Heat map of KEGG enrichment pathways in the three treatment groups (C); Enrichment ratio of pathways by KEGG analysis in the 0.02 mg/kg/d group (D).
Figure 4. Protein expression levels in each treated group: representative blots from three experiments and mean levels of protein bands compared with the control. Values indicate means ± SE (n = 3); error bars indicate standard errors; different letters
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represent significance between groups at p < 0.05 by ANOVA and Duncan’s multiple range tests.
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and validation of a medium-term gpt delta rat model for predicting chemical carcinogenicity and underlying mode of action. Exp. Toxicol. Pathol. 2014, 66 (7), 313-321. (73) Liao, X. W.; Han, C. Y.; Qin, W.; Liu, X. G.; Yu, L.; Zhu, G. Z.; Yu, T. D.; Lu, S. C.; Su, H.; Liu, Z.; Chen, Z. W.; Yang, C. K.; Huang, K. T.; Liu, Z. T.; Liang, Y.; Huang, J. L.; Dong, J. H.; Li, L. Q.; Qin, X.; Ye, X. P.; Xiao, K. Y.; Peng, M. H.; Peng, T. PLCE1 polymorphisms and expression combined with serum AFP level predicts survival of HBV-related hepatocellular carcinoma patients after hepatectomy. Oncotarget 2017, 8 (17), 29202-29219. (74) Jung, D.; Khurana, A.; Roy, D.; Kalogera, E.; Bakkum-Gamez, J.; Chien, J.; Shridhar, V. Quinacrine upregulates p21/p27 independent of p53 through autophagy-mediated downregulation of p62-Skp2 axis in ovarian cancer. Sci. Rep. 2018, 8, 2487 (75) Inoue, K.; Fry, E. A.; Taneja, P. Recent progress in mouse models for tumor suppressor genes and its implications in human cancer. Clin. Med. Insights Oncol. 2013, 7, 103-122. (76) Covington, K. R.; Fuqua, S. A. W. Role of MTA2 in human cancer. Cancer Metast. Rev. 2014, 33 (4), 921-928. (77) Ding, W. J.; Hu, W.; Yang, H. H.; Ying, T.; Tian, Y. Prognostic correlation between MTA2 expression level and colorectal cancer. Int. J. Clin. Exp. Patho. 2015, 8 (6), 7173-7180. (78) Cui, R. N.; Zhang, H. X.; Guo, X. J.; Cui, Q. Q.; Wang, J. S.; Dai, J. Y. Proteomic analysis of cell proliferation in a human hepatic cell line (hL-7702) induced by perfluorooctane sulfonate using iTRAQ. J. Hazard. Mater. 2015, 299, 361-370. (79) Singh, S.; Kumar, P. U.; Thakur, S.; Kiran, S.; Sen, B.; Sharma, S.; Rao, V. V.; Poongothai, A. R.; Ramakrishna, G. Expression/localization patterns of sirtuins (SIRT1, SIRT2, and SIRT7) during progression of cervical cancer and effects of sirtuin inhibitors on growth of cervical cancer cells. Tumor Biol. 2015, 36(8), 6159-6171.
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Table 1. Body weights (BW), liver weights (LW), remaining body weight after removing liver (BW-LW), serum biochemical levels (n = 10), and liver lipid concentrations after HFPO-TA exposure. Data are means ± SE (n = 10), significantly different from control group, different letter represent significance between groups at p < 0.05 by ANOVA and Duncan's multiple range tests.
Ctrl
0.02 a
0.1 b
19.6 ± 0.432d
Body weight (g)
22.8 ± 0.319
23.1 ± 0.319
Liver weight (g)
0.917 ± 0.0133a
1.38 ± 0.0342b
2.29 ± 0.0297c
3.19 ± 0.0997d
BW - LW (g)
21.9 ± 0.306a
21. 7 ± 0.284a
21.9 ± 0.258a
16.4 ± 0.332b
Relative liver weight (%)
4.03 ± 0.0560a
6.00 ± 0.102b
9.47 ± 0.0730c
16.3 ± 0.405d
ALT (IU/L)
25.4 ± 1.42a
36.9 ± 2.71b
86.6 ± 23.3c
448 ± 79.5d
AST (IU/L)
113 ± 16.1a
101 ± 8.96a
114 ± 6.67a
181 ± 17.2b
ALP (IU/L)
147 ± 2.38a
179 ± 5.64b
430 ± 15.1c
3250 ± 118d
0.940 ± 0.0826a
1.23 ± 0.570a
2.27 ± 0.83a
16.5 ± 3.46b
TP (g/L)
52.7 ± 0.377a
54.7 ± 0.681b
54.8 ± 0.37b
57.8 ± 0.727c
ALB (g/L)
24.7 ± 0.194a
26.1 ± 0.390b
26.2 ± 0.180b
27.8 ± 0.323c
HDL (mmol/L)
3.78 ± 0.0502a
4.09 ± 0.110b
3.39 ± 0.09c
3.74 ± 0.135a
LDL (mmol/L)
0.250 ± 0.0134a
0.310 ± 0.0214a
0.650 ± 0.0350c
0.42 ± 0.0527b
TCHO (µmol/L)
3.480 ± 0.0522a
3.89 ± 0.131b
3.70 ± 0.125ab
3.81 ± 0.125ab
TG (mmol/L)
2.15 ± 0.220a
2.11 ± 0.0769a
2.10 ± 0.125a
0.700 ± 0.0735b
TCHO in liver (µmol/g)
9.39 ± 0.260a
5.76 ± 0.420b
3.29 ± 0.357c
1.21 ± 0.141d
TG in liver (mmol/g)
45.5 ± 1.327a
42.6 ± 3.08a
35.2 ± 1.88b
24.1 ± 2.09c
TBA (µmol/L)
24.2 ± 0.288
0.5 c
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Table 2. Verification results by real-time PCR 0.02 mg/kg/d RNA sequencing Fold
q value
change
PPAR
0.1 mg/kg/d RT-PCR
Fold
p value
change
RNA sequencing Fold
q value
change
0.5 mg/kg/d RT-PCR
Fold
p value
change
RNA sequencing Fold
q value
change
RT-PCR Fold
p value
change
Pparα
0.942
0.372
0.84
0.490
1.20
1.00
0.892
0.580
0.971
1.00
0.640
0.0174
Pparγ
1.15
0.552
1.32
0.320
0.990
1.00
0.784
0.210
0.860
0.561
1.12
0.557
Cyp4a10
1.67
0.195
2.82
5.90E-04
4.29
0.0390
7.21
3.40E-05
4.05
0.0430
8.30
5.90E-07
Acox1
2.78
6.10E-04
2.78
0.0375
2.85
6.70E-23
12.3
1.70E-04
4.29
4. 80E-30
21.6
3.80E-05
Scd1
2.67
1.70E-06
1.46
0.231
6.24
1.80E-32
7.34
0.00300
7.68
1.10E-08
13.9
8.90E-05
Pltp
2.64
5.90E-08
2.10
0.0264
10.3
4.30E-83
11.9
2.60E-06
9.73
9.70E-68
17.0
8.20E-07
Cd36
17.6
5.20E-217
20.74
1.50E-04
32.5
4.40E-295
46.7
3.20E-05
43.4
0.00
90.2
1.70E-04
Slc27a1
6.62
1.43E-61
7.50
0.00318
34.9
5.10E-202
104
2.80E-07
30.2
2.80E-164
119
2.58E-06
Fabp
1.21
0.721
1.09
0.873
2.24
4.40E-17
3.45
0.0280
9.02
2.30E-62
4.90
0.0164
Afp
0.380
0.0372
0.79
0.560
1.15
1.00
0.684
0.380
1.15
1.00
1.48
0.174
Gstt3
4.11
1.43E-17
1.06
0.811
6.49
2.90E-36
1.01
0.980
9.54
6.70E-28
2.59
0.00300
Gstt2
2.03
7.51E-17
2.44
0.002
2.89
1.10E-40
3.82
5.50E-04
2.81
1.10E-30
8.64
1.00E-04
Nqo1
2.12
0.013
2.20
4.40E-04
2.77
3.90E-07
3.39
3.70E-04
11.3
6.90E-32
31.0
1.60E-06
Acaa1
2.95
3.30E-28
2.51
1.40E-04
4.66
8.90E-64
4.55
2.40E-05
4.75
1.50E-46
12.0
1.00E-06
Cyp2e
0.794
0.0974
0.31
1.20E-04
0.57
0.0760
0.225
4.20E-05
0.393
1.20E-07
0.190
1.70E-05
Cyp2b
20.1
8.90E-19
5.79
1.00E-04
56.0
1.90E-23
19.1
3.20E-04
157
5.14E-35
47.7
4.60E-04
p53
0.971
1.00
1.18
0.652
1.16
0.574
1.21
0.720
1.09
0.690
1.34
0.411
C-myc
3.19
0.0162
83.27
1.70E-04
15.1
4.20E-05
347
1.50E-05
34.5
2.30E-09
648
1.10E-05
pathway
Chemical carcinogenesis
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Figure 1. HFPO-TA concentrations in the serum (A) and liver (B) of mice and liver/serum ratios of HFPO-TA and PFOA# (C). Error bars indicate standard errors. Different letters represent statistical significance between groups. # indicates that data were obtained from Yan et al. (2014). 83x27mm (300 x 300 DPI)
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Figure 2. Histopathological analysis of liver sections stained with hematoxylin and eosin (H&E; 200×) (A). Red arrow indicates karyolysis; black arrow indicates necrosis; blue arrow indicates cytoplasmic vacuolation. Comparison of the average number of cell nuclei within a defined area (1392 × 1040) acquired by inForm v2.0 (B) and manual counting (C). Different letters represent statistical significance between groups. 136x85mm (300 x 300 DPI)
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Figure 3. Effects of HFPO-TA on liver gene expressions obtained by RNA-seq. Venn diagram for differentially expressed genes determined by RNA sequencing (q value < 0.05), red represents upregulated genes, blue represents downregulated genes (A); Number of changed biological processes highlighted by DAVID in the three HFPO-TA-treated groups (B); Heat map of KEGG enrichment pathways in the three treatment groups (C); Enrichment ratio of pathways by KEGG analysis in the 0.02 mg/kg/d group (D). 177x157mm (300 x 300 DPI)
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Figure 4. Protein expression levels in each treated group: representative blots from three experiments and mean levels of protein bands compared with the control. Values indicate means ± SE (n = 3); error bars indicate standard errors; different letters represent significance between groups at p < 0.05 by ANOVA and Duncan’s multiple range tests. 92x42mm (300 x 300 DPI)
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TOC 47x26mm (300 x 300 DPI)
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