Chun-Yun Zhang1, Susanne Flor1, Patricia Ruiz2, Gabriele Ludewig1, Hans-Joachim Lehmler1. 1. Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States. 2. Office of Innovation and Analytics, Simulation Science Section, Agency for Toxic Substances and Disease Registry, Atlanta, Georgia 30333, United States.
Abstract
The characterization of the metabolism of lower chlorinated PCB, such as 4-chlorobiphenyl (PCB3), is challenging because of the complex metabolite mixtures formed in vitro and in vivo. We performed parallel metabolism studies with PCB3 and its hydroxylated metabolites to characterize the metabolism of PCB3 in HepG2 cells using nontarget high-resolution mass spectrometry (Nt-HRMS). Briefly, HepG2 cells were exposed for 24 h to 10 μM PCB3 or its seven hydroxylated metabolites in DMSO or DMSO alone. Six classes of metabolites were identified with Nt-HRMS in the culture medium exposed to PCB3, including monosubstituted metabolites at the 3'-, 4'-, 3-, and 4- (1,2-shift product) positions and disubstituted metabolites at the 3',4'-position. 3',4'-Di-OH-3 (4'-chloro-3,4-dihydroxybiphenyl), which can be oxidized to a reactive and toxic PCB3 quinone, was a central metabolite that was rapidly methylated. The resulting hydroxylated-methoxylated metabolites underwent further sulfation and, to a lesser extent, glucuronidation. Metabolomic analyses revealed an altered tryptophan metabolism in HepG2 cells following PCB3 exposure. Some PCB3 metabolites were associated with alterations of endogenous metabolic pathways, including amino acid metabolism, vitamin A (retinol) metabolism, and bile acid biosynthesis. In-depth studies are needed to investigate the toxicities of PCB3 metabolites, especially the 3',4'-di-OH-3 derivatives identified in this study.
The characterization of the metabolism of lower chlorinated PCB, such as 4-chlorobiphenyl (PCB3), is challenging because of the complex metabolite mixtures formed in vitro and in vivo. We performed parallel metabolism studies with PCB3 and its hydroxylated metabolites to characterize the metabolism of PCB3 in HepG2 cells using nontarget high-resolution mass spectrometry (Nt-HRMS). Briefly, HepG2 cells were exposed for 24 h to 10 μM PCB3 or its seven hydroxylated metabolites in DMSO or DMSO alone. Six classes of metabolites were identified with Nt-HRMS in the culture medium exposed to PCB3, including monosubstituted metabolites at the 3'-, 4'-, 3-, and 4- (1,2-shift product) positions and disubstituted metabolites at the 3',4'-position. 3',4'-Di-OH-3 (4'-chloro-3,4-dihydroxybiphenyl), which can be oxidized to a reactive and toxic PCB3 quinone, was a central metabolite that was rapidly methylated. The resulting hydroxylated-methoxylated metabolites underwent further sulfation and, to a lesser extent, glucuronidation. Metabolomic analyses revealed an altered tryptophan metabolism in HepG2 cells following PCB3 exposure. Some PCB3 metabolites were associated with alterations of endogenous metabolic pathways, including amino acid metabolism, vitamin A (retinol) metabolism, and bile acid biosynthesis. In-depth studies are needed to investigate the toxicities of PCB3 metabolites, especially the 3',4'-di-OH-3 derivatives identified in this study.
Polychlorinated
biphenyls (PCBs) are a class of human-made chemicals
containing a biphenyl moiety substituted with 1 to 10 chlorine atoms.
PCBs were used in dielectric fluids, coolants, lubricants, paints,
plastics, adhesives, and sealants. Their production was banned in
the United States in the late 1970s,[1] but
PCBs can still be used in totally enclosed applications. Notably,
some PCBs are still inadvertently produced and can be found in paints
and other consumer products.[2−4] PCBs persist in the environment
and are transported over long distances because of their semivolatile
nature, and they bioaccumulate and biomagnify in terrestrial food
chains. As a result, PCBs are detected in most environmental media,
such as indoor and outdoor air,[5] soil,[6] water,[7] sediments,[8] human food,[9] and ultimately
the human body.[10] Exposure to PCBs is associated
with adverse health effects, for example, immunotoxicity,[11] cancer,[12−14] and neurodevelopmental disorders.[15,16]PCB3, a lower chlorinated PCB congener, is a component of
several
commercial PCB mixtures.[17] It is detected
in the environment[18,19] and human blood.[20] Unlike higher chlorinated PCB congeners, PCB3 is readily
metabolized to hydroxylated PCB3 (OH-PCB3) metabolites and PCB3 sulfates
in rats exposed to PCB3.[21−23]In vitro studies
with rat liver microsomes demonstrate that PCB3 undergoes biotransformation
at the meta and para positions of
the nonchlorinated phenyl ring.[24,25] Redox reactive dihydroxylated
PCB3 metabolites, such as PCB3 hydroquinones or catechols, were also
identified in metabolism studies with rat liver microsomes[25] and disposition studies in rats.[21−23] These OH-PCB3 metabolites are further metabolized to PCB3 sulfates
and glucuronides in vitro.[26,27]Like other PCB metabolites, the metabolic activation of PCB3
to
diverse oxidative metabolites and the corresponding conjugates is
implicated in PCB3-mediated toxicities.[28] For example, hydroxylated PCB3 metabolites and the corresponding
sulfate conjugates are high-affinity ligands of transthyretin,[27,29,30] indicating that these metabolites
are endocrine-disrupting chemicals interfering with thyroxine and
vitamin A transport. Metabolic activation of PCB3 can result in reactive
metabolites, such as arene oxides or redox-active quinone metabolites.
These metabolites form adducts with DNA and proteins in vitro(31−33) and in vivo.[34] PCB3
metabolites cause DNA strand breaks,[35] chromosome
loss,[36] polyploidization,[37] sister chromatid exchange (SCE) induction,[37] and gene mutations[36] in cells
in culture. Gene mutations and initiating activity of PCB3, likely
involving the metabolic activation of PCB3, have been observed in vivo.[38−40]The use of rat models represents a limitation
of studies of the
metabolism and toxicity of PCB3 due to species differences in the
oxidative metabolism, as has been shown for several higher chlorinatedPCBs.[41,42] Despite the use of human cell lines for
PCB3toxicity studies,[43,44] the metabolism of PCB3 has not
been characterized in human models. It is unknown to which degree
the PCB3 metabolites formed in humans differ from those formed in
rats. Basic characterization of the human-relevant metabolism of PCB3
and other congeners is a first step in characterizing their toxicokinetics
and understanding body burdens. This information, in turn, is needed
to manage the risks associated with current exposures to PCBs.[45]Here, we characterize the metabolite profiles
of PCB3 and its hydroxylated
metabolites formed by the HepG2 cells using Nt-HRMS. Untargeted metabolomic
analyses were employed to identify the changes in endogenous metabolites
and metabolic pathways following PCB3 exposure and revealed associations
between specific PCB3 metabolites and endogenous metabolic pathways.
Experimental
Section
In Silico Metabolite Predictions with ADMET
Predictor and MetaDrug
The in silico metabolite
predictions were performed with ADMET Predictor (Simulations Plus,
Lancaster, CA, USA) and MetaDrug (Clarivate Analytics, New York, NY,
USA) as described in the Supporting Information.[46]
Exposure of HepG2 Cells
to PCB3 or Its Metabolites
HepG2 cells (6 × 106/well) in 3 mL of complete minimum
essential medium (MEM) were seeded into 6-well plates. For additional
information regarding cell culture supplies, the HepG2 cells and their
maintenance, and the sources and authentication of test compounds,
see the Supporting Information. After 48
h of attachment, cells were exposed in parallel to PCB3, 2′-OH-3,
3′-OH-3, 4′-OH-3, 2-OH-3, 3-OH-3, 4-OH-2, or 3′,4′-di-OH-3
in an exposure medium. These OH-PCB3 derivatives include all six possible
monohydroxylated PCB3 metabolites. Exposure experiments were performed
without fetal bovine serum (FBS) to facilitate the partitioning of
PCB3 and its metabolites into the cells. Instead, cells were cultured
with 4.5 mM D-glucose (3 mL per well, 0.1% DMSO). All experiments
were performed in triplicate. Based on similar metabolism and toxicity
studies,[46,47] a concentration of 10 μM was used
for all test compounds to facilitate the detection of minor PCB3 metabolites.
HepG2 control cells were exposed to the exposure medium containing
0.1% DMSO. After incubation, the media were transferred into glass
vials, and the cells were washed once with PBS (1 mL). The cells were
harvested into PBS (1 mL) with a rubber policeman and collected into
a separate glass vial. The wells were washed once with PBS (1 mL).
The vials with medium and cells, combined with the respective PBS
wash, were stored at −20 °C until analysis. The results
from parallel cytotoxicity studies are presented in the Supporting
Information (Figure S1).
Extraction
of PCB3 and Its Metabolites from the Medium
The exposure
media (∼4 mL) were spiked with PCB14 (1000 ng),
3-F-4′-PCB3 sulfate (100 ng), and 3-F-4′-OH-PCB3 (100
ng) as surrogate recovery standards, as described,[23] and acidified with 10% formic acid (400 μL). Acetonitrile
(3 mL) was added to the samples, followed by magnesium sulfate (1.2
g) and sodium chloride (0.3 g). The vials were inverted for 5 min
and centrifuged at 1811g for 5 min. The acetonitrile
layers were transferred to spin filters. The aqueous phases were re-extracted
with acetonitrile (1 mL), and the organic layers were added to the
spin filters. The spin filters were inverted for 5 min and centrifuged
at 1811g for 5 min. For experiments with PCB3, aliquots
(100 μL) of the eluents were spiked with PCB15 (100 ng) as an
internal standard for PCB3 analysis (see the Supporting Information). The remaining extracts were evaporated to dryness
under a gentle stream of nitrogen and reconstituted in acetonitrile/water
(200 μL; 15:85, vol/vol) for PCB3 metabolite analysis using
liquid chromatography–mass spectrometry (LC–MS). The
whole extracts were utilized for PCB3 metabolite analyses for medium
samples from incubations with OH-PCB3 metabolites.Selected
cell pellet samples were extracted analogously. Similar to earlier
studies with HepG2 cells,[46,48] the levels of the metabolites
were lower in these extracts than extracts from the media, with several
metabolites being below the detection limit of our analytical method.
Therefore, cell pellets were not analyzed further.
LC–MS
Analysis
An initial screening for PCB3
metabolites was performed on an ultraperformance liquid chromatograph
(UPLC) (Waters Acquity UPLC, Milford, MA, USA) coupled with a quadrupole
time-of-flight mass spectrometer (LC-QT of MS; Waters Q-Tof Premier,
Milford, MA, USA) at the High-Resolution Mass Spectrometry Facility
of the University of Iowa (Iowa City, IA, USA). Medium samples were
subsequently analyzed with a UPLC (Ultimate 3000 UHPLC+ Focused, Thermo
Fisher, Waltham, MA, USA) coupled with a Q exactive hybrid quadrupole-Orbitrap
mass spectrometer (LC-Orbitrap MS; Thermo Fisher) at the Center of
Mass Spectrometry and Proteomics at the University of Minnesota (Minneapolis,
MN, USA) using full scan and MS/MS methods. For more details about
the LC–MS analysis, see the Supporting Information. Full scan raw data were converted to an mzXML
format with Proteowizard software. PCB3 metabolites were identified
with XCMS Online and further confirmed based on their accurate mass
and isotopic mass patterns with Thermo Xcalibur software and their
MS/MS data, as described.[46,49] For a summary of these
data, see Table S1. For quality assurance/quality
control information, see the Supporting Information.
Metabolomic Analysis
Metabolomic analysis was performed
following an earlier report and as described in the Supporting Information.[46] For a
metabolome-wide association analysis with PCB3 metabolite classes,
the sum of the peak areas of all isomers of each PCB3 metabolite class
was determined from the extracted ion chromatograms of all samples,
including controls, with a mass window of 10 ppm. The peak areas of
the PCB3 metabolites were normalized by the total intensities and
log2 transformed before they were used for association
analyses using a linear model. Pathway enrichment analyses were performed
in mummichog(50) with an
input feature list considering p < 0.05 as significant
features. If applicable, analyses were performed in R (version 3.6.3).
Results and Discussion
Formation of PCB3 Metabolites in the Cell
Culture Medium of
HepG2 Cells Exposed to PCB3
We used HepG2 cells, a humanhepatoma cell line, as an inexpensive model system to identify PCB3
metabolites potentially formed in humans. The HepG2 cell line readily
metabolizes lower chlorinated PCBs, such as PCB11, but not higher-chlorinatedPCBs,[49] to complex mixtures of oxidative
metabolites and their conjugates[46] because
of the lower expression of xenobiotic processing genes, including
the cytochrome P450 isoforms involved in PCB metabolism,[41,51−53] compared to human primary hepatocytes.[54] The slower PCB metabolism in HepG2 cells also
provides a better time window to investigate the complex PCB metabolite
mixtures formed in hepatocytes.The PCB metabolites in the culture
medium from HepG2 cells exposed to 10 μM PCB3 were characterized
with Nt-HRMS. A screening list developed with in silico predictions was used to guide the metabolite identification. For
more information about the in silico prediction results
of the metabolism of PCB3 and selected metabolites, see the Supporting
Information (Tables S2 and S3). We identified
three classes of PCB3 metabolites, including monohydroxylated PCB3
metabolites and their sulfate and glucuronide conjugates, sulfates
of dihydroxylated PCB3, and sulfates and glucuronides of methoxylated-hydroxylated
PCB3 in the culture medium (Tables S1 and S4). Consistent with its rapid metabolism, PCB3 levels in cell culture
media decreased with incubation time (Figure S2).
OH-PCB3 Metabolites and Their Conjugates
We observed
one OH-PCB3 metabolite (Figure a and Figure S3), three peaks of
PCB3 sulfate metabolites (Figure b and Figure S4), and one
peak of PCB3 glucuronide metabolite (Figure c and Figure S5) in the culture medium from HepG2 cells. The levels of these metabolites
typically increased over time (Figure a,c). The levels of OH-PCB3 and their sulfate conjugates,
but not glucuronide conjugates, plateaued beginning with the 8 h time
point, possibly due to their biotransformation to other metabolites,
for example, hydroxylated PCB3 sulfates, as observed in rats.[55]
Figure 1
Six classes of metabolites were formed in HepG2 cells
exposed to
PCB3, including (a) OH-PCB3 (m/z 203.02637), (b) PCB3 sulfate (m/z 282.98320), (c) PCB3 glucuronide (m/z 379.05849), (d) OH-PCB3 sulfate (m/z 298.97812), (e) MeO-PCB3 sulfate (m/z 312.99377), and (f) MeO-PCB3 glucuronide (m/z 409.06906) metabolites. LC-Orbitrap MS analyses were performed
in the negative mode. The extracted ion chromatograms are based on
the calculated accurate mass of each metabolite class, with a mass
window of 10 ppm. The levels of each metabolite class were semi-quantitatively
calculated as the metabolite peak area/internal standard peak area
× 100. The placement of the functional groups on different phenyl
rings is for illustration purposes only and does not indicate their
actual positions. For selected MS and MS/MS spectra, see the Supporting
Information (Figures S3–S8). Glc,
glucuronide.
Six classes of metabolites were formed in HepG2 cells
exposed to
PCB3, including (a) OH-PCB3 (m/z 203.02637), (b) PCB3 sulfate (m/z 282.98320), (c) PCB3 glucuronide (m/z 379.05849), (d) OH-PCB3 sulfate (m/z 298.97812), (e) MeO-PCB3 sulfate (m/z 312.99377), and (f) MeO-PCB3 glucuronide (m/z 409.06906) metabolites. LC-Orbitrap MS analyses were performed
in the negative mode. The extracted ion chromatograms are based on
the calculated accurate mass of each metabolite class, with a mass
window of 10 ppm. The levels of each metabolite class were semi-quantitatively
calculated as the metabolite peak area/internal standard peak area
× 100. The placement of the functional groups on different phenyl
rings is for illustration purposes only and does not indicate their
actual positions. For selected MS and MS/MS spectra, see the Supporting
Information (Figures S3–S8). Glc,
glucuronide.The presence of the three peaks
of PCB3 sulfates suggests that
at least three OH-PCB3 isomers were formed by HepG2 cells; however,
only one OH-PCB3 metabolite peak was observed. Likely, other OH-PCB3
isomers were not detected because of their rapid biotransformation
or co-elution issues, as reported previously.[21] The formation of OH-PCB3 by HepG2 cells confirms the formation of
several metabolites predicted by MetaDrug and, to a lesser extent,
ADMET Predictor (Tables S2 and S3). OH-PCB3
metabolites are also commonly detected metabolites of lower chlorinatedPCBs in in vitro(25,46) and in vivo experiments[22,23,55,56] and human biomonitoring studies.[57]
Dihydroxylated PCB3 Metabolites (di-OH-PCB3)
and Their Conjugates
We observed two peaks corresponding
to hydroxylated PCB3 sulfates
in the cell culture media from HepG2 cells exposed for 8 and 24 h
to PCB3 (Figure d
and Figure S6). These metabolites can be
formed by sulfation of a di-OH-PCB3 metabolite or oxidation of PCB3sulfate metabolites, as observed in rats.[55] The levels of the minor hydroxylated PCB3 sulfate metabolite increased
with the increasing incubation time (Figure d), whereas the levels of the major metabolite
initially increased and then decreased after 8 h. This metabolite
may undergo further oxidative metabolism, as observed for PCB11,[46] or be deconjugated by HepG2 cells. Similarly,
deconjugation products were observed in rats exposed to PCB11 sulfate.[55] Moreover, PCB sulfates can be deconjugated in
cells in culture.[48] We did not observe
the formation of glucuronide conjugates of di-OH-PCB3 in experiments
with PCB3.The detection of catechol-derived methoxylated metabolites
(see the text below) indicates that HepG2 cells formed PCB3catechol
metabolites, such as 3′,4′-di-OH-3. We did not detect
PCB3catechols in the cell culture medium, possibly because of their
rapid biotransformation to sulfated or methoxylated metabolites or
highly reactive PCBquinone metabolites.[31,35,40,58−61] In contrast, three dihydroxylated PCB3 isomers were formed by rat
liver microsomes, possibly due to the lack of phase 2 metabolism in
the rat microsomal metabolism studies.[31] 3′,4′-Di-OH-3, a catechol metabolite, was also detected
in the bile and urine of rats exposed to PCB3 through inhalation.[21]
Methoxylated-Hydroxylated PCB3 Metabolites
(MeO-OH-PCB3) and
Their Conjugates
We detected two methoxylatedPCB3 sulfates
(Figure e and Figure S7) and one methoxylatedPCB3 glucuronide
(Figure f and Figure S8) in the media from HepG2 cell exposed
to PCB3. The methoxylated metabolites formed with a delay compared
to other metabolites (Figure ). For example, the methoxylatedPCB3 glucuronide was only
detected at the 24 h time point. We observed both methoxylated sulfate
and glucuronide metabolites in our earlier metabolism study with PCB11
in HepG2 cells.[46] We did not detect the
corresponding MeO-OH-PCB3 metabolites (i.e., methylation products
of the catechol metabolite[62,63]), probably because
these compounds were rapidly biotransformed to sulfate and glucuronide
conjugates. MeO-OH-PCB3 metabolites have been observed in the excreta
from rats,[64] rabbits,[65] and guinea pigs[66] but have not
been detected in humans. Methoxylated and hydroxylated PCB metabolites
and their sulfate conjugates were also reported in mice exposed to
a PCB mixture.[67] Overall, HepG2 cells formed
several metabolite classes that were also observed in rodent models.
Further work is needed to confirm the presence of these metabolites
in human biomonitoring studies.We observed fewer PCB3 metabolites
compared to our study with PCB11.[46] We
detected three subclasses of disubstituted metabolites (metabolites
derived from di-OH-PCB3 or MeO-OH-PCB3) in the medium from PCB3-exposed
HepG2 cells. In contrast, we observed six subclasses of disubstituted
metabolites in experiments with PCB11 exposed HepG2 cells.[46] Moreover, we did not detect any metabolites
derived from trihydroxylated PCB3 isomers. In contrast, trihydroxylated
metabolites were formed under identical experimental conditions from
PCB11.[46] This observation suggests that
HepG2 cells metabolize lower chlorinated PCBs in a congener-specific
manner. Congener-specific differences in the metabolism of lower chlorinatedPCBs have been documented for studies with purified rat cytochrome
P450 enzymes, rat liver microsomes, or liver tissue slices from mice.[24,68−70] In-depth metabolism studies with lower chlorinatedPCBs have not been reported for human model systems; however, higher
chlorinated PCBs are metabolized in a congener-specific manner by
human cytochrome P450 enzymes.[41,42,71,72]It is noteworthy that,
based on the number of metabolite classes
observed, the monochlorinated PCB3 is less readily metabolized by
HepG2 cells than the dichlorinated PCB11. Typically, lower chlorinatedPCBs are more rapidly metabolized than higher chlorinated PCBs.[73] However, PCB congeners with para chlorine substituents are more resistant to metabolism. This para chlorine group possibly reduces the rate of (oxidative)
metabolism of both PCB3 and its metabolites compared to meta chlorinated PCBs, such as PCB11.[46] It
is currently unknown how para chlorine substituents
affect the further metabolism of PCB metabolites.
Probing the
PCB3 Metabolism Pathway with the Metabolite Profiles
of PCB3 Metabolites
The structure of PCB3 metabolite isomers
formed by HepG2 cells cannot be identified based on the Nt-HRMS analysis
(Table S1) alone because authentic standards
are not available. We performed parallel metabolism studies with a
set of well-authenticated hydroxylated PCB3 metabolites, including
2′-OH-3, 3′-OH-3, 4′-OH-3, 2-OH-3, 3-OH-3, 4-OH-2,
and 3′,4′-di-OH-3, to overcome this limitation by comparing
the metabolite profiles. We performed these analyses by LC-QTof MS
because of the better chromatographic separation of the PCB3 metabolite
isomers on this system.Comparison of the metabolite profiles
in the medium from incubations with the OH-PCB3 metabolites and PCB3
demonstrates that the OH-PCB3 metabolites and the corresponding conjugates
have the functional groups on the 3-, 3′-, or 4′-position
of PCB3 or the 4-position of PCB 2 (1,2-shift product) (Figure ). The ortho hydroxylated PCB isomers (i.e., 2- and 2′-OH-3) and the corresponding
conjugates were not observed in experiments with PCB3 (Figure a). Consistent with faster
oxidation of the nonchlorinated phenyl ring, 3′- and/or 4′-OH-3
were the major monohydroxylated PCB3 metabolites formed from PCB3.
The PCB3 glucuronide metabolite was identified as 4′-PCB3 glucuronide
(Figure d). 2′-OH-3
and 2-OH-3 were more readily metabolized to the corresponding sulfate
metabolites than the meta and para hydroxylated isomers. In contrast, 3′-OH-3, 3-OH-3, and 4-OH-2
were preferentially metabolized to glucuronide metabolites. 4′-OH-3
was not as readily conjugated as the other OH-PCB3 isomers (Figure a). These results
were consistent with enzyme kinetic studies, which report that 2′-OH-3
and 3′-OH-3 have higher specificity toward humanSULT1A1 than
4′-OH-3[27] and that 2′-OH-3
has the highest specificity toward rat hepatic microsomal UGTs, followed
by 3′-OH-3 and 4′-OH-3.[26] Our results suggest that ortho-hydroxylated PCB3
metabolites are preferentially metabolized to sulfate metabolites,
whereas meta-hydroxylated PCB3 metabolites more likely
form glucuronide metabolites.
Figure 2
(a) Comparison of the retention times (numbers)
and normalized
intensities (coded colors) of the metabolites formed from PCB3 and
seven hydroxylated PCB3 metabolites allowed the identification of
four classes of PCB3 metabolites formed by HepG2 cells. Boxes with
blue borders indicate that metabolites are also formed by HepG2 cells
exposed to PCB3. The normalized intensities are shown in panel (a)
as the intensity of the metabolite peak area/internal standard peak
area × 100. A white box indicates that a metabolite class was
not detected. Based on this comparison, the human-relevant PCB3 metabolites
were identified as follows: (b) OH-PCB3 as 3′-OH-3 or 4′-OH-3,
(c) sulfate as the sulfates of 3-OH-3, 4-OH-2, 3′-OH-3, and
4′-OH-3, (d) PCB3 glucuronide as 4′-OH-3, and (e) MeO-PCB3
sulfate as 4′-chloro-3-methoxy-4-sulfooxy-biphenyl and 4′-chloro-4-methoxy-3-sulfooxy-biphenyl.
The formations of 3′-OH-3, 4′-OH-3, 3′-PCB3 sulfate,
and 4′-PCB3 sulfate were confirmed with authentic standards.
HepG2 cells were incubated in triplicate for 2 or 24 h with PCB3,
2′-OH-3, 3′-OH-3, 4′-OH-3, 2-OH-3, 3-OH-3, 4-OH-2,
or 3′,4′-di-OH-3 individually (a indicates
incubations with 2 h time points). Metabolites were extracted from
the media and analyzed as described in the Experimental
Section. Analyses were performed in the negative mode on an
LC-QTof MS; for additional details, see the Experimental
Section. For the MS spectra of the four classes of PCB3 metabolites
identified on LC-QTof MS, see the Supporting Information (Figures S9–S12).
(a) Comparison of the retention times (numbers)
and normalized
intensities (coded colors) of the metabolites formed from PCB3 and
seven hydroxylated PCB3 metabolites allowed the identification of
four classes of PCB3 metabolites formed by HepG2 cells. Boxes with
blue borders indicate that metabolites are also formed by HepG2 cells
exposed to PCB3. The normalized intensities are shown in panel (a)
as the intensity of the metabolite peak area/internal standard peak
area × 100. A white box indicates that a metabolite class was
not detected. Based on this comparison, the human-relevant PCB3 metabolites
were identified as follows: (b) OH-PCB3 as 3′-OH-3 or 4′-OH-3,
(c) sulfate as the sulfates of 3-OH-3, 4-OH-2, 3′-OH-3, and
4′-OH-3, (d) PCB3 glucuronide as 4′-OH-3, and (e) MeO-PCB3sulfate as 4′-chloro-3-methoxy-4-sulfooxy-biphenyl and 4′-chloro-4-methoxy-3-sulfooxy-biphenyl.
The formations of 3′-OH-3, 4′-OH-3, 3′-PCB3 sulfate,
and 4′-PCB3 sulfate were confirmed with authentic standards.
HepG2 cells were incubated in triplicate for 2 or 24 h with PCB3,
2′-OH-3, 3′-OH-3, 4′-OH-3, 2-OH-3, 3-OH-3, 4-OH-2,
or 3′,4′-di-OH-3 individually (a indicates
incubations with 2 h time points). Metabolites were extracted from
the media and analyzed as described in the Experimental
Section. Analyses were performed in the negative mode on an
LC-QTof MS; for additional details, see the Experimental
Section. For the MS spectra of the four classes of PCB3 metabolites
identified on LC-QTof MS, see the Supporting Information (Figures S9–S12).Glucuronide conjugates were observed for all OH-PCB3 isomers. However,
no OH-PCB3 glucuronide metabolite was detected in experiments with
OH-PCB3 metabolites (Figure a). This observation is consistent with the predictions with
ADMET Predictor (Table S2) and MetaDrug
(Table S3). Thus, OH-PCB3 glucuronides
are likely formed by the glucuronidation of dihydroxylated PCB metabolites
and not by the oxidation of PCBglucuronides. Experiments with 3′,4′-di-OH-3
confirmed that OH-PCB3 glucuronides are formed by the glucuronidation
of dihydroxylated PCB metabolites in HepG2 cells (Figure a). No sulfated metabolites
were observed in incubations with 3′,4′-di-OH-3 (Figure a), consistent with
MetaDrug predictions (Table S3). Thus,
hydroxylated PCB3 sulfate metabolites were formed by oxidation of
the corresponding PCB sulfate. We cannot exclude the possibility that
the sulfation of PCB3 hydroquinones forms hydroxylated PCB3 sulfates.
These PCB3 hydroquinone metabolites have been reported in a metabolism
study with rat liver microsomes.[25]Experiments with 3′,4′-di-OH-3 revealed that this
metabolite was metabolized to two MeO-PCB3 sulfates and, to a lesser
extent, a methoxylatedPCB3 glucuronide (Figure a). The MeO-PCB3 sulfates derived from PCB3catechol metabolites observed in incubations with PCB3 were identified
as derivatives of 3′,4′-di-OH-3 (Figure e). This catechol metabolite and its conjugates
are also major metabolites formed in rats.[21,22] Analogously, the MeO-PCB3 glucuronide metabolites likely correspond
to 3′-MeO-4′-PCB3 or 4′-MeO-3′-PCB3 glucuronide.
Unlike the parent PCB3, 3′,4′-di-OH-3 was further oxidized,
resulting in a methoxylated-hydroxylated PCB3 sulfate (Figure a). We also observed trihydroxylated
PCB11 conjugates in analogous experiments in HepG2 cells.[46]The observation that PCB3 is oxidized
in the meta or para position is
consistent with studies demonstrating
that higher chlorinated PCBs are preferentially oxidized in meta and para positions in studies with
recombinant human cytochrome P450 enzymes or human liver microsomes.[41,42,71,72,74,75] Similarly,
the oxidation of PCB metabolites at the para or meta position is commonly observed in mammalian model systems,
both in vitro and in vivo.[21−24,41,46,56,76] Studies with
rats exposed to PCB3 through inhalation identified 3′-, 4′-,
and 3-PCB3 sulfate isomers and 3′,4′-di-OH-3 conjugates.[21,22] Interestingly, rats receiving an intraperitoneal injection of PCB3
excreted 2′-, 3′-, and 4′-PCB3 sulfate in the
urine, suggesting that ortho-hydroxylated PCB3 metabolites
are formed in rats in vivo.[23] 2′-OH-3, 3′-OH-3, and 4′-OH-3, together with
two unidentified monohydroxylated metabolites, were observed in a
metabolism study with rat liver microsomes.[25] At least some monohydroxylated PCB3 metabolites are formed via an
arene oxide intermediate, followed by a 1,2-shift, as indicated by
the formation of 4-PCB 2 sulfate. Similarly, 1,2-shift metabolites
are formed from other PCB congeners by human cytochrome P450 enzymes.[41,42,71,72,77] Overall, our results confirm that HepG2
cells metabolize lower chlorinated PCBs, such as PCB3, in a manner
that shows some similarities to rats.
Metabolic Pathway of PCB3
and Its Toxicological Implications
We propose the metabolism
pathway shown in Figure for the PCB3 metabolism in HepG2 cells based
on our experimental findings. Briefly, PCB3 is oxidized to meta- or para-OH-PCB3. Further oxidation
results in the formation of PCB3catechol metabolites, such as 3′,4′-di-OH-3.
Subsequently, OH-PCB3 metabolites are biotransformed by SULTs and
UGTs to sulfate and glucuronide conjugates. PCB3 sulfates but not
PCB3 glucuronides can be further oxidized to hydroxylated compounds
and the corresponding downstream metabolites.
Figure 3
Pathways proposed for
the metabolism of PCB3 in HepG2 cells. Structures
shown in blue were detected in this study. Structures shown in black
and red were not detected, but their formation is expected based on
the available evidence from this and other studies.[46] Catechol metabolites and their quinone derivatives are
shown in red. These metabolites are likely reactive and highly toxic.
Metadrug predicted metabolites with orange backgrounds. P450: cytochrome
P450 enzyme; Glc: glucuronide; SULT: sulfotransferase; UGT: uridine
5′-diphospho-glucuronosyltransferase; COMT: catechol-O-methyltransferase.
Pathways proposed for
the metabolism of PCB3 in HepG2 cells. Structures
shown in blue were detected in this study. Structures shown in black
and red were not detected, but their formation is expected based on
the available evidence from this and other studies.[46] Catechol metabolites and their quinone derivatives are
shown in red. These metabolites are likely reactive and highly toxic.
Metadrug predicted metabolites with orange backgrounds. P450: cytochrome
P450 enzyme; Glc: glucuronide; SULT: sulfotransferase; UGT: uridine
5′-diphospho-glucuronosyltransferase; COMT: catechol-O-methyltransferase.3′,4′-Di-OH-3 appears to be a pivotal PCB3 metabolite
that is only transiently formed in HepG2 cells. This metabolite is
methylated to methoxylated-hydroxylated PCB3 metabolites, followed
by conjugation to form MeO-PCB3 sulfate and MeO-PCB3 glucuronide conjugates.
3′,4′-Di-OH-3 can also be converted to OH-PCB3 glucuronides.
It is unclear to which extent these metabolic pathways prevent the
oxidation of 3′,4′-di-OH-3 to the corresponding PCB3quinone. Studies in the resistant hepatocyte model demonstrated that
this quinone acts as the ultimate carcinogenic metabolite resulting
from the bioactivation of PCB3 in rat liver.[40] It is also unknown to which extent PCB3 quinone adducts were formed
with cellular nitrogen and sulfur nucleophiles, including proteins
and DNAs,[31,32,34] in HepG2 cells.
Future studies are needed to confirm the proposed metabolic pathway
of PCB3 and characterize the potential toxicities associated with
the formation of 3′,4′-di-OH-3 in more human-like models,
such as primary hepatocytes.
Changes in Endogenous Metabolites Following
PCB3 Exposure in
HepG2 Cells
We performed metabolomic analyses with the LC-Orbitrap
MS data to investigate changes in endogenous metabolic pathways in
HepG2 cells following PCB3 exposure. In the univariate analyses, we
identified 555, 534, and 1929 metabolic features (p < 0.05) and 10, 20, and 966 features with a false discovery rate
(FDR) < 0.05 that significantly differed between control and PCB3-exposed
media at the 2, 8, and 24 h time points (Figure a). Metabolic pathways enriched in these
significant features were identified using mummichog with a human pathway library. Two, one, and three metabolic pathways
were significantly affected at the 2, 8, and 24 h time points (p < 0.05) (Figure b). Pathway enrichment analyses with a looser parameter setting
identified an overlap in pathways affected at the 2 and 8 h but not
the 24 h time point (i.e., linoleate metabolism and fatty acid metabolism, Figure S13). It is not surprising that the effects
of PCB3 on the metabolome in the experimental system change over time
due to adaptive responses of the cells and time-dependent changes
in the PCB3 and the PCB3 metabolite mixture present in the cells.
These changes reflect the effects of PCB3 on the transport or cellular
metabolism of endogenous metabolites in our model system.
Figure 4
Metabolomic
analysis of medium samples revealed distinct differences
between experiments with HepG2 cells exposed for 2, 8, or 24 h to
PCB3 and a vehicle (DMSO). (a) Volcano plots with data from 2, 8,
or 24 h incubations selected 555, 534, and 1929 features using a threshold
of p = 0.05 (yellow line) and 10, 20, and 966 features
using FDR threshold = 0.05 (red line). (b) Pathway enrichment analyses
with feature lists containing raw p values identified
2, 1, and 3 affected metabolic pathways for PCB exposures of 2, 8,
and 24 h, respectively (p < 0.05). Pathways with
less than four significant features were not presented. A metabolite
was included in the pathway analysis only if the primary molecular
ion ([M-H]−) was statistically significant between
groups. The number of features altered by PCB3 exposure is listed
as overlap/total features for each pathway. (c) Tryptophan metabolism
was identified as significantly affected by PCB3 exposure at the 24
h time point. Metabolites with yellow, red, and green backgrounds
decreased, increased, or did not change due to PCB3 exposure, respectively.
Metabolites in white boxes could not be identified with acceptable
confidence scores. (d) Changes in the tryptophan metabolism–kynurenine
pathway following exposure of HepG2 cells to PCB3 with levels of 5-hydroxyindoleacetaldehyde,
indolepyruvate, kynurenine, serotonin, 5-hydroxytryptophan, and 6-hydroxymelatonin
decreasing and levels of methylserotonin, formylkynurenine, and formyl-acetyl-5-methoxykynurenamine
increasing. Data are shown as normalized raw intensity, with p < 0.05 (*) or p < 0.01 (**). The
accurate m/z, retention times, adducts,
significances, and confidence scores of the metabolite annotations
in the tryptophan metabolism pathway are listed in Table S5. For information about the pathway enrichment analyses
with a looser parameter setting, see Figure S14.
Metabolomic
analysis of medium samples revealed distinct differences
between experiments with HepG2 cells exposed for 2, 8, or 24 h to
PCB3 and a vehicle (DMSO). (a) Volcano plots with data from 2, 8,
or 24 h incubations selected 555, 534, and 1929 features using a threshold
of p = 0.05 (yellow line) and 10, 20, and 966 features
using FDR threshold = 0.05 (red line). (b) Pathway enrichment analyses
with feature lists containing raw p values identified
2, 1, and 3 affected metabolic pathways for PCB exposures of 2, 8,
and 24 h, respectively (p < 0.05). Pathways with
less than four significant features were not presented. A metabolite
was included in the pathway analysis only if the primary molecular
ion ([M-H]−) was statistically significant between
groups. The number of features altered by PCB3 exposure is listed
as overlap/total features for each pathway. (c) Tryptophan metabolism
was identified as significantly affected by PCB3 exposure at the 24
h time point. Metabolites with yellow, red, and green backgrounds
decreased, increased, or did not change due to PCB3 exposure, respectively.
Metabolites in white boxes could not be identified with acceptable
confidence scores. (d) Changes in the tryptophan metabolism–kynurenine
pathway following exposure of HepG2 cells to PCB3 with levels of 5-hydroxyindoleacetaldehyde,
indolepyruvate, kynurenine, serotonin, 5-hydroxytryptophan, and 6-hydroxymelatonin
decreasing and levels of methylserotonin, formylkynurenine, and formyl-acetyl-5-methoxykynurenamine
increasing. Data are shown as normalized raw intensity, with p < 0.05 (*) or p < 0.01 (**). The
accurate m/z, retention times, adducts,
significances, and confidence scores of the metabolite annotations
in the tryptophan metabolism pathway are listed in Table S5. For information about the pathway enrichment analyses
with a looser parameter setting, see Figure S14.The kynurenine pathway of tryptophan
metabolism, which accounts
for most of the dietary tryptophan metabolism in the liver,[78] was enriched at the 24 h time point, with 20
significantly changed features (Figure c). Briefly, formyl kynurenine and kynurenate levels
increased, and 2-amino-3-carboxymuconatesemialdehyde, formyl anthranilate,
kynurenine, and 2-aminomuconatesemialdehyde levels decreased in HepG2
cells following PCB3 exposure (Figure d). A link between PCB exposure and tryptophan metabolism
has been observed in animal studies. For example, Aroclor 1254, a
PCB mixture, can alter tryptophan metabolism by inhibiting tryptophan
hydroxylase (TPH) and consequently reducing the levels of serotonin,
a neurotransmitter, in the rat brain.[79] An inhibition of TPH or a reduction of serotonin levels was also
observed in aquatic organisms, such as Atlantic croaker[80,81] and bluegill sunfish,[82] following PCB
exposure. It remains unclear how exposure to PCB3 or its metabolites
causes alterations in the kynurenine pathway. Key enzymes in this
pathway (e.g., kynurenine aminotransferase, kynurenine monooxygenase,
and kynureninase) are vitamin B6-dependent.[83−86] Because the levels of vitamin B6 are altered by PCB exposure
in the rat liver[87] and HepG2 cells,[46] altered levels of vitamin B6 or pyridoxal
phosphate (PLP), its biologically active form, may play a role in
alterations of the kynurenine pathway in HepG2 cells following PCB
exposure. Unfortunately, we were unable to identify PLP in this study.
Targeted metabolome screens are warranted to determine how lower chlorinatedPCBs and their metabolites affect hepatic tryptophan metabolism, especially
at concentrations and dosing paradigms that reflect current human
exposures to PCB3.
Metabolome-Wide Association Study with PCB3
Metabolite Classes
A metabolome-wide association study revealed
endogenous metabolic
features positively or negatively associated with the PCB3 metabolite
classes identified in our study (Figure S14). While this analysis does not identify causal relationships, it
allows the development of hypotheses for subsequent experiments. Many
metabolic features were associated with OH-PCB3 (1438 with p < 0.05; 180 with FDR < 0.05), PCB3 sulfate (1525
with p < 0.05; 176 with FDR < 0.05), and MeO-PCB3sulfate metabolites (1020 with p < 0.05; 151 with
FDR < 0.05). A smaller number of metabolic features were associated
with the other PCB3 metabolite classes (45–137 with p < 0.05; 3–24 with FDR < 0.05). This analysis
suggests that OH-PCB3, PCB3 sulfate, and MeO-PCB3 sulfate metabolites
have broader effects on the metabolome in the HepG2 model system.Pathway enrichment analyses identified several endogenous metabolic
pathways that are significantly associated (p <
0.05) with specific PCB3 metabolite classes (Figure ). Major pathways identified through this
analysis include amino acid metabolism pathways, vitamin A (retinol)
metabolism, and bile acid biosynthesis. OH-PCB3 and OH-PCB3 sulfate
metabolites were associated with tryptophan metabolism, with more
than 20 significant features (p = 0.0316 and 0.0187,
respectively). The PCB3 glucuronide and MeO-PCB3 glucuronide metabolites
were associated with branched-chain amino acid metabolism (p = 0.0013 and 0.0018, respectively). Potential co-effects
of PCB3 metabolite classes on endogenous metabolic pathways are summarized
in a network plot (Figure S15). Associations
between the levels of PCBs or their metabolites and metabolome data
have received little attention. One cohort study identified several
metabolic pathways associated with PCB exposure in maternal and cord
sera, including altered purine and pyrimidine metabolism and amino
acid metabolism.[88] Our results demonstrate
that, in addition to the parent compounds, PCB metabolites affect
the metabolome of HepG2 cells by altering the cellular uptake, metabolism,
or removal of endogenous metabolites from PCB3-exposed HepG2 cells.
Because the levels of PCB3 metabolites have not been characterized
in the human liver, it is unclear if the associations identified in
this analysis reflect actual human liver concentrations.
Figure 5
Metabolome-wide
association analysis suggests that PCB3 metabolite
classes formed in HepG2 cells are significantly associated with several
metabolic pathways. The size of circles is proportional to the overlap
size (number of significant features) of the pathway enrichment. Circles
with black borders are major pathways with >5 significantly associated
features. Metabolome-wide association analyses were performed on 18
samples incubated with and without PCB3. Peak areas of the PCB3 metabolites
were integrated across all samples and normalized for the total intensities
(extracted in the metabolomics analysis) to account for the total
mass and recovery effects. Intensities were summed when more than
one isomer of each PCB3 metabolite class was detected. For more details
about the data analyses, see the Experimental Section. For the number of significantly associated features with each metabolite
class, see Figure S13.
Metabolome-wide
association analysis suggests that PCB3 metabolite
classes formed in HepG2 cells are significantly associated with several
metabolic pathways. The size of circles is proportional to the overlap
size (number of significant features) of the pathway enrichment. Circles
with black borders are major pathways with >5 significantly associated
features. Metabolome-wide association analyses were performed on 18
samples incubated with and without PCB3. Peak areas of the PCB3 metabolites
were integrated across all samples and normalized for the total intensities
(extracted in the metabolomics analysis) to account for the total
mass and recovery effects. Intensities were summed when more than
one isomer of each PCB3 metabolite class was detected. For more details
about the data analyses, see the Experimental Section. For the number of significantly associated features with each metabolite
class, see Figure S13.
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