Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Dec 22.
Published in final edited form as: Biometals. 2019 Sep 20;32(6):829–843. doi: 10.1007/s10534-019-00216-1

ZIP14 is degraded in response to manganese exposure

Khristy J Thompson 1,*, Marianne Wessling-Resnick 1
PMCID: PMC7755095  NIHMSID: NIHMS1653837  PMID: 31541377

Abstract

Manganese (Mn) is an essential element necessary for proper development and brain function. Circulating Mn levels are regulated by hepatobiliary clearance to limit toxic levels and prevent tissue deposition. To characterize mechanisms involved in hepatocyte Mn uptake, polarized human HepaRG cells were used for this study. Western blot analysis and immunofluorescence microscopy showed the Mn transporter ZIP14 was expressed and localized to the basolateral surface of polarized HepaRG cells. HepaRG cells took up 54Mn in a time- and temperature manner but uptake was reduced after exposure to Mn. This loss in transport activity was associated with decreased protein ZIP14 levels in response to Mn exposure. Mn-induced degradation of ZIP14 was blocked by bafilomycin A1, which increased localization of the transporter in Lamp1-positive vesicles. Mn exposure also down-regulated the Golgi proteins TMEM165 and GPP130 while the ER stress marker BiP was induced. These results indicate that Mn exposure decreases ZIP14 protein levels to limit subsequent uptake of Mn as a cytoprotective response. Thus, high levels of Mn may compromise first-pass-hepatic clearance mechanisms.

Keywords: SLC39A14, Hepatocytes, HepaRG cells, Mn homeostasis

Introduction

Manganese is required for a number of essential physiological processes such as bone development, immunity, brain function, and overall homeostasis (Aschner and Aschner 2005; Aschner and Erikson 2017; Roth 2006). As is the case with many essential nutrients, there is a fine balance between adequate levels of Mn and harmful concentrations. It has long been established that excess Mn results in functionally diminished motor pathways, impaired cognition, and attention disorders (Aschner and Erikson 2017; Crinella 2012; Hong et al. 1984; Lucchini et al. 1997; Pihl and Parkes 1977; Tran et al. 2002; Yamada et al. 1986). To protect the body against excessive harmful levels, ingested Mn is trafficked to the bile through the first-pass hepatic clearance. This protective mechanism is thought to limit excess circulating Mn to protect the body from its neurotoxic effects. An increasing number of animal studies and human genetic studies provide strong evidence that ZIP14 (SLC39A14) is a primary regulator of balanced blood Mn levels. Individuals carrying mutations ZIP14 display hypermanganesemia (Clayton 2017). Defects in ZIP14 cause high blood Mn with Mn loading in the brain but not in liver, indicating that its function in liver uptake must be impaired (Tuschl et al. 2016). Several human mutations in ZIP14 have been identified in young children suffering from parkinsonism-dystonia with high blood Mn levels (Juneja et al. 2018; Rodan et al. 2018) as well increased cerebral spinal fluid Mn (Marti-Sanchez et al. 2018).

While the combined data from human and animal studies have identified ZIP14 as an essential component of Mn regulation and homeostasis, it is clear that tissue specific mechanisms of transport regulation are just beginning to be elucidated. In previous studies of polarized WIF-B cells, we determined that hepatobiliary trafficking of Mn involved multiple transporters. The transporters were localized to precise cellular locations to mediate vectorial delivery of Mn from the sinusoidal basolateral surface to the bile canalicular apical membrane of hepatocytes (Thompson et al. 2018). ZIP14 localization at the basolateral surface of these hepatic cells is consistent with a role in Mn import (Aydemir et al. 2017; Hutchens et al. 2017; Jenkitkasemwong et al. 2018). In contrast, the Mn transporter ZIP8 (SLC39A8) was found to distribute to cytoplasmic vesicular structures while ZNT10 (SLC30A10) was present in vesicles adjacent to the WIF-B cell apical membrane. A limitation to these studies was the fact that both rat and human ZIP14 transporters were expressed in this rat-human hybrid line. Therefore, to further our understanding of the role of ZIP14 in hepatocyte Mn uptake and clearance, we have now studied its function in polarized HepaRG cells which are a human-derived hepatocytoma line. HepaRG cells have been used extensively in drug clearance and toxicity studies. These cells express a large array of the liver specific genes at greater quantities than other hepatocyte cells lines, as well as both sinusoidal and canalicular drug transporters (Aninat et al. 2006; Le Vee et al. 2006; Pernelle et al. 2011). The present study is the first analysis of Mn transport and metabolism in these human hepatic cells. Our goals were to evaluate Mn accumulation by HepaRG cells and to explore mechanisms regulating Mn import under conditions of hypermanganesemia.

Methods

Cell culture.

For uptake and ICP-MS experiments, HepaRG cells (MTOX1010; Millipore Sigma) were seeded into 24-well plates in Williams’ medium (Gibco) supplemented with HepaRG Thaw General Purpose Supplement (Life Technologies) and 1X GlutaMAX Supplement (Life Technologies) according to supplier guidelines. For immunofluorescence microscopy experiments, HepaRG cells were seeded on transwell inserts (0.4 micron PET; Corning Falcon Cell Culture Inserts) which require fewer cells (cell growth area approximately half the area of the 24-well). Similar morphology and Zip14 distribution were observed in cells plated on coverslips. To ensure polarization, cells were maintained in culture for 10-12 days with 5% CO2 at 37°C. All treatment conditions and uptake studies were performed at a volume of 300μL per well. Washes between conditions and terminal washes were performed at a volume of 1000μL as detailed in the following procedures.

Temperature and time-dependent Mn uptake.

Uptake dynamics were established through 54Mn tracer uptake studies. 54Mn was purchased from PerkinElmer (NEZ040) and specific activity was adjusted to 145 cpm/pmol with cold MnCl2. HepaRG cells were incubated in uptake buffer containing standard 1X Hanks Balance Salt Solution (HBSS; Gibco) with 1μM 54MnCl2 at 37°C or on ice (4°C) for 5, 10, 30, or 60 minutes. Cells were rinsed in ice-cold Ca2+/Mg2+ free HBSS + 100μM EGTA 3 times at the end of incubation to remove any extracellular non-specifically bound metal and release Mn targeted to the bile compartment which is sensitive to calcium chelation (Suda et al. 2011). Uptake was limited to shorter uptake incubation times since by 4 hours, cells were not viable in serum-free HBSS uptake medium. At the end of the uptake incubation period and after EGTA washes, cells were immediately lysed in Laemmli buffer, removed from the plate, and the radioactivity of each sample was measured in a WIZARD Gamma Counter (PerkinElmer, Inc., Waltham, MA, USA). Cell uptake was calculated as pmol/well. Cell-associated radioactivity measured at 4°C was taken as non-specific background.

Competition studies.

To test if excess metal could compete for 54Mn uptake, HepaRG cells were incubated in uptake buffer containing 1μM 54MnCl2 with an additional 5 or 50 μM MnCl2 for 30 minutes at 37°C. Cells were rinsed three times in cold HBSS containing 100μM EGTA. Cells were lysed in Laemmli buffer, removed from the plate, and the radioactivity of each sample was measured in a WIZARD Gamma Counter (PerkinElmer, Inc., Waltham, MA, USA).

Effects of Mn exposure on Mn uptake.

HepaRG cells were exposed to indicated concentrations of MnCl2 in standard culture media for 4 or 16 hours prior to uptake studies. The standard culture media contained 1.8mM CaCl2 and provided a source for competition of non-specific divalent metal binding sites. Media containing added metal was removed and cells were rinsed with standard HBSS followed by incubation for 30 minutes at 37°C in uptake buffer containing 1μM MnCl2. After uptake, the cells were placed on ice and washed 3 times with 1mL cold Ca2+/Mg2+ free HBSS containing 100μM EGTA. Cells were then lysed in 1X Laemmli buffer and radioactivity was measured. Samples were subsequently analyzed for transporter levels by Western blot analysis. In a separate set of experiments Mn content was measured using ICP-MS (inductively coupled mass spectrometry) carried out by Dartmouth Trace Element Shared Resource. HepaRG cells exposed to Mn were washed with cold PBS, trypsinized to remove nonspecifically bound extracellular Mn, and cell pellets collected and weights recorded. ICP-MS analysis was performed by the Trace Metals Analysis Laboratory (Dartmouth College, Hanover, NH) and Mn content was normalized to the cell pellet wet weights.

Bafilomycin A1 treatment.

To test if the decrease in ZIP14 protein levels following Mn treatment was due to lysosomal degradation, HepaRG cells were treated with 50nM bafilomycin A1 for 30 minutes prior to the addition of Mn. 50 nM bafilomycin A1 was subsequently maintained in the medium upon the addition of 50μM Mn for 4 hours in standard culture conditions. Control wells were incubated with or without 50μM Mn in the absence of bafilomycin A1. At the end of the experiment, cells were rinsed with warm HBSS, lysed in Laemmli buffer and processed for Western blot analysis.

Western blot analysis.

HepaRG cells were exposed to indicated concentrations of MnCl2 for 4 or 16 hours in standard culture conditions. Following treatment, the cells were rinsed in 1mL standard culture media followed by two washes in PBS. Cells were lysed in 1X Laemmli buffer and processed for Western blot analysis. HepaRG cells in 1X Laemmli sample buffer containing beta-mercaptoethanol were heated for 5 minutes at 95°C to blot for ZIP14, GPP130, and BiP, or 10 minutes at 72°C to blot for TMEM165, GM130, ZNT10, and ferroportin (FPN). Samples for ZIP8 were unheated. Equivalent sample volumes were loaded onto 4–20% denaturing gels, proteins were separated by SDS-PAGE, and transferred to nitrocellulose (Bio-Rad Transblot Turbo blotting system). Immunoblots were blocked with 5% non-fat milk in Tris-buffered saline (TBS) containing 1% Tween-20 (TW20). Blots were then incubated with primary antibodies (rabbit anti-ZIP14, Sigma 1:1000; rabbit anti-ZIP8, Sigma 1:1000; rabbit anti-ZNT10, Sigma 1:1000; rabbit anti-FPN, Novus, 1:1000; rabbit anti-GPP130, BioLegend 1:500; rabbit anti-BiP, Cell Signal Technologies 1:1000; rabbit anti-TMEM165, Sigma 1:1000; rabbit anti-GM130, Cell Signaling Technology 1:1000) in TBS-TW20 overnight at 4°C. After two washes in TBS-TW20, blots were placed in secondary IRDye 800CW donkey anti-rabbit or anti-mouse IgG (Li-Cor, 1:5000 dilution) or IRDye 680RD donkey anti-rabbit or anti-mouse IgG (Li-Cor,1:5000 dilution) and then rinsed in TBS-TW20. Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was as a loading control and detected using mouse anti-GAPDH (Sigma, 1:2000) or rabbit anti-GAPDH (ABclonal, 1:1000). Images were acquired on Li-COR Odyssey Clx Near-Infrared Western Blot System and band intensity analyzed using iS Image Studio.

Indirect immunofluorescence of HepaRG cells.

HepaRG cells were rinsed in phosphate-buffered saline (PBS), fixed in 4% paraformaldehyde in PBS for 20 minutes, and quenched with 10 mM glycine in PBS. Cells were permeabilized for 5 minutes in 0.2% Triton-X100/PBS, followed by a 30-minute blocking step with 1% bovine serum albumin (BSA) in PBS. Cells were then incubated for overnight at 4°C with the following primary antibodies: rabbit anti-ZIP14 (Sigma 1:200), mouse anti-MRP2 (Abcam, 1:200), mouse anti-Lamp1 (Abcam, 1:100), mouse anti-beta1 NaK-ATPase (Abcam, 1:200, followed by a 45 minutes incubation with secondary antibodies AlexaFluor568-labeled goat anti-rabbit (Molecular Probes, 1:500), AlexaFluor568-labeled goat anti-mouse (Molecular Probes, 1:500), AlexaFluor488-labeled goat anti-rabbit (Invitrogen, 1:500), or AlexaFluor488-labeled goat anti-mouse (Invitrogen, 1:500). Inserts were mounted using ProLong Diamond Antifade Mountant (Invitrogen). Prior to fixation, nuclei were stained with NucBlue Live Cell Stain ReadyProbes according to manufacturer’s instructions (Invitrogen). HepaRG cells were imaged with a Yokogawa CSU-X1 spinning disk confocal system with a Nikon Ti-E inverted microscope using a 60x or 100x Plan Apo objective lens with Zyla cMOS camera using 405, 561 and 488 lasers. NIS elements software was utilized for acquisition parameters, shutters, filter positions and focus control.

Cell viability.

Cell viability was determined using the TOX-1 assay (Sigma). Cells were first exposed to MnCl2 (0, 5, 25, 50, 500, and 1000μM) for 4 or 16 hours, followed by a 4 hour incubation with (3-[4,5-dimethylthiazol-2yl]-2,5diphenyl tetrazolium bromide (MTT; 0.5 mg/mL). The formazan crystals produced in the reactions were then dissolved in isopropyl alcohol containing 0.1 N HCl. Absorbance of the samples was measured at 570 nm using a BioTek Synergy 2 plate reader. Cell viability was normalized to control (untreated) cells as recommended by the manufacturer.

Statistical analysis.

Statistical comparisons were performed using one-way ANOVA and Student’s t-test with GraphPad Prism software. Results are expressed as means ± SEM. Differences between compared groups were considered significant at P < 0.05. Regression analysis were used to determine dose-response relationship between transporter levels and manganese exposure. ImageJ software and the JACoP plugin were used to determine Pearson’s coefficient where results are expressed as means ± SD.

Results

HepaRG cells express ZIP14 and the transporter localizes to the basolateral surface.

HepaRG cells polarize to mature hepatocytes and form confluent monolayers with bile canalicular formations. They have been utilized to study various transport mechanisms and have successfully been imaged using indirect immunofluorescence (Antherieu et al. 2013; Bachour-El Azzi et al. 2015; Kanebratt and Andersson 2008; Sharanek et al. 2014; Susukida et al. 2016). To determine the expression and membrane distribution of ZIP14, we performed indirect immunofluorescence experiments co-labeling apical or basolateral markers. ZIP14 did not co-localize with the apical membrane marker MRP2 (Fig. 1a, left panel) but was exclusively localized to the basolateral surface with extensive overlap with the basolateral membrane marker NaK-ATPase (Fig. 1a, right panel). Placement of ZIP14 at the basolateral membrane is consistent with its function as a hepatocyte metal importer (Bowers and Srai 2018; Guthrie et al. 2015; Pinilla-Tenas et al. 2011; Zhao et al. 2014).

Fig. 1.

Fig. 1

ZIP14 localization and Mn uptake by HepaRG cells. a. ZIP14 colocalizes with the basolateral membrane marker NaK-ATPase but not the apical marker MRP2. HepaRG cells were grown on 0.4um transparent inserts for 12 days in standard culture conditions. Shown are staining for ZIP14 (green) and the apical marker MRP2 (left panel; red) or the basolateral marker NaK-ATPase (right panel; red) using indirect immunofluorescence. Cell were imaged using a Yokagawa CSU-X1 spinning disk confocal system with a Nikon Ti-E inverted microscope using a 60x (MRP2 images) or a 100x (NaK-ATPase images) Plan Apo objective lens with Zyla cMOS camera using 561 and 488 lasers. Bar = 5μm. b. Mn uptake is time and temperature dependent. HepaRG cells were incubated with 1μM 54Mn for 5, 10, 30 and 60 minutes at 37°C (filled circles). Uptake at 4°C is indicated at 5 minutes (open circle) and extrapolated out to 60 minutes as indicated by the dashed line. After incubation for the times indicated, cells were washed, removed from the plate, and cell-associated 54Mn was measured by gamma counting. Values are means ± SEM, n=4 biological samples. c. 54Mn uptake is competed by excess unlabeled Mn. Cells were incubated with 1μM 54Mn in uptake buffer containing either 5 or 50μM cold Mn. After incubation for the times indicated, cells were washed, removed from the plate, and cell-associated 54Mn was measured by gamma counting. Values are means ± SEM, n=4 biological samples; a, significant from 4°C; b, significant from control; c, significant from 5μM Mn. P < 0.05.

Temperature and time dependent uptake of Mn by HepaRG cells.

To determine the time course of Mn uptake by HepaRG cells, cellular acquisition of the radioactive tracer 54Mn was measured. HepaRG cell Mn uptake occurred in a time- and temperature-dependent manner (Fig. 1b and 1c). The cellular uptake of 54Mn was competed by excess unlabeled Mn (Fig. 1c). These observations support the specificity of the metal uptake pathway.

HepaRG cells are resistant to Mn-induced cytotoxicity.

Mn has been shown to be toxic to a variety of cell types at μM concentrations (Choi et al. 2019; Fernandes et al. 2019; Porte Alcon et al. 2018; Roth et al. 2002). For example, in our previous studies WIF-B cells were observed to have significantly reduced viability after 4 and 16 hours of exposure to > 500 μM Mn (Thompson et al. 2018). Therefore, we examined the viability of HepaRG cells after exposure of up to 1000 μM Mn for 4 or 16 hours in standard culture conditions. Cell viability was determined using the MTT assay (Fig. 2a). HepaRG cells maintained close to 100% viability over all Mn concentrations at both exposure times. ICP-MS experiments confirmed that Mn did accumulate in HepaRG cells in a dose-dependent manner over this concentration range and after these incubation periods (Fig 2b). Mn accumulation by HepaRG cells was comparable to that measured in WIF-B cells exposed in a similar manner (Thompson et al. 2018).

Fig. 2.

Fig. 2

HepaRG cell response to 4 and 16 hour Mn exposure. HepaRG cells were exposed to Mn for 4 and 16 hours in standard culture conditions followed by assessment of cell viability or 54Mn uptake. a. HepaRG cells remain viable following exposure to Mn (5, 25, 50, 100, 1000μM) for 4 hours (open circles) and 16 hours (open squares). Cell viability was determined using MTT and normalized to control (untreated) cells. Shown are means ± SEM, n = 3. b. HepaRG cells accumulate Mn with increasing Mn concentration. Cells were exposed to 50, 100, and 500μM Mn for 4 or 16 hours. Cells were washed with cold PBS, removed from the wells by trypsinization, and digested for ICP-MS analysis. Mn levels increased in the cells with increasing dose at both the 4 and 16 hour incubation periods. Values are means ± SEM, n=3 biological samples. a, significant from 50μM; b, significant from 100μM. c. Shown is a diagram depicting the protocol used for the experimental results shown in panel C. HepaRG cells were pre-incubated with MnCl2 for 4 or 16 hours prior to the 54Mn uptake assay. HepaRG cells were then rinsed and incubated with 1μM 54MnCl2 for 30 minutes at 37°C. Cells were rinsed, removed from the plate, and cell 54Mn content determined using a gamma counter. d. Values for the 54Mn uptake experiment are shown as mean ± SEM, n=4 biological; a, significant from control; b, significant from 5μM, c, significant from 50μM. P < 0.05.

Mn exposure decreases 54Mn uptake by HepaRG cells.

While ICP-MS can assess the mass accrual of metal, it does not report information about how uptake may be changing over time. Therefore, we also examined uptake dynamics in HepaRG cells following metal exposure for 4 or 16 hours under standard culture conditions (see protocol design, Fig. 2c). Cells were subsequently incubated with a trace amount of 54Mn to measure uptake. Up to 40% reduction in 54Mn uptake was observed after incubation of HepaRG cells with Mn concentrations of 50 M after the 4 hour incubation period; import of the radiotracer was similarly reduced after the longer 16 hour exposure time (Fig. 2d). Although Mn uptake was not completely suppressed, these results suggest that HepaRG cells respond to Mn exposure by down-regulating transport of the metal.

Mn exposure decreases ZIP14 protein levels.

We postulated that one-way HepaRG cells could decrease Mn uptake following metal exposure was by down-regulating ZIP14. We therefore examined protein levels of ZIP14 by Western analysis of HepaRG cell lysates collected after exposure to Mn. Treatment of HepaRG cells with MnCl2 (5, 50, or 100μM) for 4 and 16 hours in standard culture conditions resulted in a dose-dependent decrease in ZIP14 protein levels (Fig. 3a). Similar results were found for cells treated with Mn for 16 hours. Levels of HepaRG cell ZIP14 did not decrease when exposed to ZnSO4 at equivalent concentrations over the same period of time, indicating this effect was specific to MnCl2 exposure (data not shown). In contrast, levels of other transporters, including FPN, ZNT10 and ZIP8, did not decrease in a dose dependent manner (Fig. 3b).

Fig. 3.

Fig. 3

ZIP14 protein levels decrease in response to 4 and 16 hour Mn exposure. HepaRG cells were treated with metal for 4 or 16 hours in standard culture conditions. a. Shown are representative Western blots for ZIP14 after 4 (top panel) and 16 hour (bottom panel) treatment with MnCl2. Equal volumes of lysed samples were loaded per lane. ZIP14 band intensities were measured and normalized to GAPDH levels. Graphed are the normalized data at 5, 50, and 100μM Mn where the control is set to 1 (dashed line). Values are mean ± SEM, n=4 biological samples. ZIP14 protein levels in response to Mn exposure show a dose-depended regression at P < 0.05. b. Shown are representative Western blots for FPN, ZNT10, and ZIP8 after 16 hour treatment with MnCl2. Cell lysates were prepared for immunoblotting and equal volumes of lysed samples were loaded per lane. FPN, ZNT10, and ZIP8 band values were each normalized to GAPDH levels. Graphed are the normalized data at 5, 50, and 100μM Mn. The control is set to 1 (dashed line). Values are mean ± SEM, n=4 biological samples. ZIP8, ZnT10, and FPN do not show a dose-dependent regression.

Bafilomycin A1 blocks Mn-induced degradation of ZIP14.

To examine the pathway of ZIP14 down-regulation in response to Mn, HepaRG cells were treated with bafilomycin A1, an inhibitor of vacuolar ATPases. Bafilomycin A1 inhibits degradation in the endolysosomal pathway by raising vesicular pH to interfere with lysosomal protease activity. Western blot analysis of cell lysates from untreated control and Mn-treated samples indicated that the presence of bafilomycin A1 prevented the loss of ZIP14 (Fig. 4, top panel). Indirect immunofluorescence microscopy confirmed that ZIP14 degradation was blocked and further showed that bafilomycin A1 increased overlap between Lamp1-positive and ZIP14-positive structures in HepaRG cells (Fig. 4, bottom panel, BafA1 + Mn). Pearson values were 0.275 ± 0.020 for control, Mn = 0.234 ± 0.018 for Mn-treated, and 0.364 ± 0.039 for bafilomycin A1-treated cells. Values are means ± SD. These results support the idea that Mn induces ZIP14 down-regulation by redirecting the protein to the lysosomal pathway and that bafilomycin A1 arrests down-regulation by blocking transporter degradation.

Fig. 4.

Fig. 4

Bafilomycin A1 prevents Mn directed ZIP14 degradation. HepaRG cells were pretreated with 50 nM bafilomycin A1 (Baf A1) for 30 minutes prior to and during incubation with 50 μM Mn for 4 additional hours. Top panel: Western analysis indicates ZIP14 levels are similar to control with Baf A1 treatment. Shown is a representative blot. Equal volumes of lysed samples were loaded per lane. ZIP14 band intensity was measured and normalized to GAPDH levels. Values are means ± SEM, n=4; a, significant from control. P < 0.05. Bottom panel: Shown are representative staining examples for ZIP14 (green) and Lamp1 (red) in the same treatment groups using indirect immunofluorescence. Below each image is an insert from the region indicated (white inset). IF experiments were performed in triplicate on two separate occasions. Image analysis was performed using ImageJ software and the JaCoP plugin to determine the Pearson’s coefficients expressed as means ± SD: Control = 0.275 ± 0.020, Mn = 0.234 ± 0.018, and BafA1+Mn = 0.364 ± 0.039. Pearson values for Bafilomycin A1-treated cells were significantly different from HepaRG cells in control conditions (P = 0.0004) and Mn-treated cells (P < 0.0001). Mn-treated cells were significantly different from control (P = 0.0045).

Effects of Mn on cellular stress.

Mn exposure has been shown to alter the Golgi and Golgi-associated proteins including TMEM165, a trans-membrane Golgi protein thought to be involved in glycosylation (Dulary et al. 2017; Foulquier et al. 2012; Potelle et al. 2017; Rosnoblet et al. 2013a; Rosnoblet et al. 2013b), and the Mn sensor GPP130, a receptor for Shiga toxin (Mukhopadhyay et al. 2010; Mukhopadhyay and Linstedt 2011; Mukhopadhyay et al. 2013). To compare the response of HepaRG cell Golgi proteins and other stress markers, Western blot analysis was carried out after exposure to 5, 50 or 100 μM MnCl2. TMEM165 was reduced by ~60% after 4 hours of exposure at the lowest concentration studied (Fig. 5, left panel); no further reduction was observed at 16 hours (data not shown). In contrast, protein levels of GPP130 and the cis-Golgi marker GM130 were unaffected after 4 hours of incubation (Fig. 5, left panel). However, longer periods of Mn exposure (16 hour) did induce the ER stress marker BiP and decreased GPP130 levels (Fig. 5, right panel) as previously reported (Mukhopadhyay et al. 2010; Potelle et al. 2017). The control cis-Golgi marker GM130 remained unchanged under both conditions (Fig 5). These combined results indicate that exposure of HepaRG cells to Mn induces organellar stress affecting the secretory pathway with selective loss of Mn regulated membrane proteins.

Fig. 5.

Fig. 5

Golgi markers are altered by 4 hour Mn exposure (left panel). HepaRG cells were treated with Mn for 4 hours at the indicated concentrations in standard culture conditions. Shown are the results of Western analysis. Cell lysates were prepared for immunoblotting and equal volumes of lysed samples were loaded per lane. TMEM165, GPP130, and GM130 band intensities each were measured and normalized to GAPDH levels. The transmembrane Golgi protein TMEM165 decreased during acute 4 hour Mn exposure without any change in the Mn sensor GPP130 or cis-Golgi marker GM130. Values are mean ± SEM, n=4 biological samples; a, significant from control. P < 0.05. Prolonged 16 hour Mn exposure exacerbates Golgi and ER stress (right panel). HepaRG cells were treated with Mn for 16 hours at the indicated concentrations in standard culture conditions. Shown are representative blots and the results of Western analysis (graphs). Cell lysates were prepared for immunoblotting and equal volumes of lysed samples were loaded per lane. BiP, GPP130, and GM130 band intensities each were measured and normalized to GAPDH levels. The ER stress response protein BiP increased with prolonged Mn exposure. The Mn sensor GPP130 decreased as an indication of increased Golgi stress. The cis-Golgi marker GM130 remained unchanged. TMEM165 was decreased similarly to 4 hour exposure (data not shown). Values are mean ± SEM, n=4 biological samples; a, significant from control. P < 0.05.

Discussion

Mn homeostasis is necessary to handle this essential yet toxic mineral. Elimination of excess circulating Mn is critical to protect the brain and central nervous system. Environmental and occupational exposure to Mn can lead to the metal’s deposition in the basal ganglia and subthalamic regions causing disruption of motor and cognitive pathways known as manganism (Kwakye et al. 2015). Interestingly Mn deposition also accumulates in these areas during cholestasis and hepatobiliary dysfunction (Ikeda et al. 2000a; Ikeda et al. 2000b; Rose et al. 1999). A prevalent view is that the liver is the organ responsible for the clearance of ingested Mn through the first-pass-hepatic clearance system, although increasing evidence supports a crucial role for the intestine in the regulation of circulating levels (Scheiber et al. 2019; Taylor et al. 2019). A number of recent genetic studies have determined that disruptions in Mn acquisition, accumulation and deposition result from defects in human genes thought to be involved Mn transport and homeostasis, including SLC39A14 (ZIP14), SLC39A8 (ZIP8), and SLC30A10 (ZNT10) (Aydemir et al. 2017; Boycott et al. 2015; Choi et al. 2019; Hutchens et al. 2017; Jenkitkasemwong et al. 2018; Lin et al. 2017; Liu et al. 2017; Marti-Sanchez et al. 2018; Park et al. 2015; Quadri et al. 2012; Quadri et al. 2015; Riley et al. 2017; Xin et al. 2017). In particular, human mutations in ZIP14 leads to hypermanganesemia and neurological disorders.

ZIP14 is a transmembrane protein consisting of 8 transmembrane domains with an intramembrane metal-binding site that forms a pore for metal transport (Aydemir and Cousins 2018; Eide 2006; Kambe et al. 2015; Taylor et al. 2005). The protein is thought to function as a dimer or multimer in the formation of ion channels for metal transport (Heitzer and Hallmann 2002; Lichten and Cousins 2009). ZIP14 is a member of the SLC39A family of transporters primarily identified as zinc transporters. Studies in murine hepatocytes found that an increase in ZIP14 expression was coupled with an increase in cellular zinc accumulation (Lichten and Cousins 2009). It is known to play a role in iron uptake and clearance by the liver (Gao et al. 2008; Jenkitkasemwong et al. 2018; Liuzzi et al. 2006; Zhao et al. 2010). While zinc and iron are substrates for transport, ZIP14 is also thought to be the primary transporter involved in Mn uptake (Aydemir and Cousins 2018; Girijashanker et al. 2008; Pinilla-Tenas et al. 2011). ZIP14 knockout mice display reduced liver Mn levels with elevated concentrations in blood and other systemic organs giving further evidence of its role in Mn import (Aydemir et al. 2017; Jenkitkasemwong et al. 2018; Xin et al. 2017).

To study Mn uptake and ZIP14 function in hepatocytes, we employed HepaRG cells which are able to polarize and express markers for both basolateral and apical membranes, providing a useful alternative to human primary hepatocytes (Antherieu et al. 2013; Bachour-El Azzi et al. 2015; Kanebratt and Andersson 2008; Sharanek et al. 2014). Our results confirm the expression of ZIP14 and its localization at the HepaRG cell basolateral surface, a distribution that would facilitate the movement of Mn into these hepatocytes. This result is consistent with previous reports localizing ZIP14 to the basolateral membrane of enterocytes (Guthrie et al. 2015) and WIF-B hepatocytes (Thompson et al. 2018). 54Mn uptake studies revealed HepaRG cells accumulate Mn in a time- and temperature-dependent manner and that uptake was competed by excess Mn.

Despite robust Mn uptake, we observed that HepaRG cells remained viable even after 16 hours of exposure of up to 1000μM Mn. In contrast, WIF-B hepatocytes have decreased viability after 16 hours of exposure to 500μM Mn (Leitch et al. 2011; Thompson et al. 2018). ICP-MS experiments confirmed the dose-dependent accumulation of the metal by HepaRG cells under these conditions. However, we also observed that uptake of 54Mn was diminished upon pre-exposure to the metal, suggesting that one way these cells preserve their integrity is to reduce uptake of the metal. This idea is supported by the fact that ZIP14 protein levels are decreased by exposure to Mn in a dose-dependent manner. This effect appears to be a specific response to Mn since exposure to Zn did not alter ZIP14 levels (data not shown). Moreover, protein levels of other known Mn transporters detected in HepaRG cells (ZIP8, ZNT10, or FPN) did not change in a dose-dependent manner. Previous studies have shown that the iron regulator HFE decreases ZIP14 stability in HepG2 hepatocytes (Gao et al. 2008) and that iron exposure induces degradation by the proteosomal pathway (Zhao et al. 2014). Thus, the regulation of ZIP14 appears to respond to selective metal substrates that direct the protein to specific degradatory pathways (lysosomal versus proteosomal).

In contrast to human HepaRG cells, levels of ZIP14 in WIF-B cells did not change upon incubation with up to 500μM MnCl2 (Thompson et al. 2018). We do not know if uptake is affected by pre-exposure to Mn. However, WIF-B cells are a rat/human hybrid line and we determined that both rat and human ZIP14 were expressed by these hepatocytes. As noted above, the WIF-B cells do not display the same resistance to Mn cytotoxicity observed in the HepaRG cell experiments we report here, possibly due to the hybrid nature of hepatic components. The lack of ZIP14 down-regulation in WIF-B cells is most likely one factor contributing to their Mn sensitivity. The failure of WIF-B cells to down-regulate ZIP14 is possibly an effect of co-expression of both transporters without the companion trafficking machinery to enable a reduction of its function.

Can down-regulation of ZIP14 maintain hepatocyte viability while preventing Mn accumulation in extrahepatic tissues? Studies by Xin et al. (2018) using Slc39a14fl/fl;Alb-Cre+ liver specific ZIP14 knockout mice showed that these mice do not accumulate Mn in the brain or other extrahepatic tissues and do not develop motor deficits. This result indicates that the selective loss of Slc39a14 expression in hepatocytes is not sufficient to cause Mn accumulation. A more recent study by Scheiber et al. (2019) found ZIP14 present on the basolateral membrane of enterocytes. Their studies in CaCo-2 ZIP14 knockout cells and intestine-specific ZIP14 knockout mice revealed ZIP14 restricts dietary Mn absorption. This additional Mn regulatory feedback mechanism might respond to liver-specific changes in ZIP14. To confirm our observations in HepaRG cells, it would be interesting to investigate levels of ZIP14 in Slc30a10 knockout mice which have high hepatic Mn (Hutchens et al. 2017).

One caveat to our study are the supraphysiologic levels of Mn observed to alter uptake and ZIP14 levels. It should be noted that serum proteins that can bind divalent cations (albumin, alpha2-macroglobulin) are present in the culture medium thus reducing the concentration of actual free metal available for cell uptake. Studies of Mn toxicity and cytotoxicity typically use μM concentrations for extended exposure periods (Girijashanker et al. 2008; Pinilla-Tenas et al. 2011). Bowman and Aschner (2014) have estimated neurotoxicity occurs at intracellular levels of 60-160 uM Mn in the brain (Bowman and Aschner 2014).

The Golgi apparatus appears to play an important role in cellular Mn homeostasis and effects on its function often occur over the Mn concentration range use for our studies (Carmona et al. 2019; Houdou et al. 2019). In fact, previous studies examining Mn-regulated proteins included treatments of cells with 1-500 μM Mn over time courses ranging from 1-24 hours (Masuda et al. 2013; Mukhopadhyay et al. 2010; Potelle et al. 2017; Tewari et al. 2015; Towler et al. 2000). For example, treatment of cells with 500uM MnCl2 induces rapid redistribution and lysosomal degradation of the Mn sensor protein GPP130 (Mukhopadhyay et al. 2010). In addition, the Golgi protein TMEM165 is down-regulated in response to Mn exposure and chloroquine has been shown to block Mn-induced lysosomal degradation of this protein (Potelle et al. 2017). We observed that Mn-induced degradation of ZIP14 by HepaRG cells is blocked by bafilomycin A1, indicating the transporter is similarly trafficked towards the lysosome for its down-regulation in the presence of the metal. The observation that ZIP14 localizes to Lamp1-positive vesicles in bafilomycin A1-treated HepaRG cells in the presence of Mn confirms the HepaRG cell trafficking response. The fast degradation response of TMEM165 and delayed GPP130 response observed for HepaRG cells upon Mn exposure is consistent with previous studies (Potelle et al. 2017). These differences may reflect that Mn is “sensed” by the cytoplasmic domain of TMEM165 (Potelle et al. 2017) but the luminal domain of GPP130 (Mukhopadhyay et al. 2010) such that time necessary for Mn uptake by the Golgi is reflected by the latter time course for degradation. We do not yet know the structural elements involved in Zip14 degradation.

Mn is required for several cellular processes, including membrane protein glycosylation. TMEM165, a transmembrane Golgi protein, is thought to be involved in glycosylation reactions and has been found to decrease in response to μM levels of Mn. Similarly, the Mn sensing protein GPP130 was found to decrease with high levels of Mn. Our study also found TMEM165 and GPP130 were affected by high Mn levels in hepatocytes and correlated with decreased ZIP14. Loss of ZIP14 may possibly help to decrease Mn entry into the cell and its accumulation in the Golgi. Many studies suggest that intracellular toxic levels of Mn can be sensed by the Golgi and can initiate cellular stress responses to prevent cell death. We do not yet know how ZIP14 may be regulated by cellular Mn levels but its regulation may reflect a hepatocyte-specific global response to Mn detoxification. It should be noted that the longer 16 hour Mn exposure also induced BiP, an indicator of ER stress. This observation is also consistent with studies in other cells types demonstrating that exposure to Mn can induce ER stress and cell death (Chun et al. 2001; Mahadevan et al. 2012; Wang et al. 2015; Wu et al. 2019; Yoon et al. 2011). Ultimately, the down-regulation of ZIP14 could provide a cytoprotective response to maintain cell viability.

Acknowledgement

This work was supported by a grant from the U.S. National Institutes of Health, National Institute of Environmental Health Sciences (R56 ES0146380). ICP-MS work was supported by the Trace Element Shared Resource, NCI Cancer Center Support Grant 5P30CA023108-37, NIEHS Superfund grant P42 ES007373.

References

  1. Aninat C, Piton A, Glaise D, et al. (2006) Expression of cytochromes P450, conjugating enzymes and nuclear receptors in human hepatoma HepaRG cells. Drug Metab Dispos 34(1):75–83 doi: 10.1124/dmd.105.006759 [DOI] [PubMed] [Google Scholar]
  2. Antherieu S, Bachour-El Azzi P, Dumont J, et al. (2013) Oxidative stress plays a major role in chlorpromazine-induced cholestasis in human HepaRG cells. Hepatology 57(4):1518–29 doi: 10.1002/hep.26160 [DOI] [PubMed] [Google Scholar]
  3. Aschner JL, Aschner M (2005) Nutritional aspects of manganese homeostasis. Mol Aspects Med 26(4-5):353–62 doi: 10.1016/j.mam.2005.07.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Aschner M, Erikson K (2017) Manganese. Adv Nutr 8(3):520–521 doi: 10.3945/an.117.015305 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Aydemir TB, Cousins RJ (2018) The Multiple Faces of the Metal Transporter ZIP14 (SLC39A14). J Nutr 148(2):174–184 doi: 10.1093/jn/nxx041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Aydemir TB, Kim MH, Kim J, et al. (2017) Metal Transporter Zip14 (Slc39a14) Deletion in Mice Increases Manganese Deposition and Produces Neurotoxic Signatures and Diminished Motor Activity. J Neurosci 37(25):5996–6006 doi: 10.1523/JNEUROSCI.0285-17.2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bachour-El Azzi P, Sharanek A, Burban A, et al. (2015) Comparative Localization and Functional Activity of the Main Hepatobiliary Transporters in HepaRG Cells and Primary Human Hepatocytes. Toxicol Sci 145(1):157–68 doi: 10.1093/toxsci/kfv041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bowers K, Srai SKS (2018) The trafficking of metal ion transporters of the Zrt- and Irt-like protein family. Traffic 19(11):813–822 doi: 10.1111/tra.12602 [DOI] [PubMed] [Google Scholar]
  9. Bowman AB, Aschner M (2014) Considerations on manganese (Mn) treatments for in vitro studies. Neurotoxicology 41:141–2 doi: 10.1016/j.neuro.2014.01.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Boycott KM, Beaulieu CL, Kernohan KD, et al. (2015) Autosomal-Recessive Intellectual Disability with Cerebellar Atrophy Syndrome Caused by Mutation of the Manganese and Zinc Transporter Gene SLC39A8. Am J Hum Genet 97(6):886–93 doi: 10.1016/j.ajhg.2015.11.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Carmona A, Zogzas CE, Roudeau S, et al. (2019) SLC30A10 Mutation Involved in Parkinsonism Results in Manganese Accumulation within Nanovesicles of the Golgi Apparatus. ACS Chem Neurosci 10(1):599–609 doi: 10.1021/acschemneuro.8b00451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Choi EK, Nguyen TT, Iwase S, Seo YA (2019) Ferroportin disease mutations influence manganese accumulation and cytotoxicity. FASEB J 33(2):2228–2240 doi: 10.1096/fj.201800831R [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chun HS, Lee H, Son JH (2001) Manganese induces endoplasmic reticulum (ER) stress and activates multiple caspases in nigral dopaminergic neuronal cells, SN4741. Neurosci Lett 316(1):5–8 [DOI] [PubMed] [Google Scholar]
  14. Clayton PT (2017) Inherited disorders of transition metal metabolism: an update. J Inherit Metab Dis 40(4):519–529 doi: 10.1007/s10545-017-0030-x [DOI] [PubMed] [Google Scholar]
  15. Crinella FM (2012) Does soy-based infant formula cause ADHD? Update and public policy considerations. Expert Rev Neurother 12(4):395–407 doi: 10.1586/ern.12.2 [DOI] [PubMed] [Google Scholar]
  16. Dulary E, Potelle S, Legrand D, Foulquier F (2017) TMEM165 deficiencies in Congenital Disorders of Glycosylation type II (CDG-II): Clues and evidences for roles of the protein in Golgi functions and ion homeostasis. Tissue Cell 49(2 Pt A):150–156 doi: 10.1016/j.tice.2016.06.006 [DOI] [PubMed] [Google Scholar]
  17. Eide DJ (2006) Zinc transporters and the cellular trafficking of zinc. Biochim Biophys Acta 1763(7):711–22 doi: 10.1016/j.bbamcr.2006.03.005 [DOI] [PubMed] [Google Scholar]
  18. Fernandes J, Chandler JD, Liu KH, et al. (2019) Metabolomic Responses to Manganese Dose in SH-SY5Y Human Neuroblastoma Cells. Toxicol Sci 169(1):84–94 doi: 10.1093/toxsci/kfz028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Foulquier F, Amyere M, Jaeken J, et al. (2012) TMEM165 deficiency causes a congenital disorder of glycosylation. Am J Hum Genet 91(1):15–26 doi: 10.1016/j.ajhg.2012.05.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Gao J, Zhao N, Knutson MD, Enns CA (2008) The hereditary hemochromatosis protein, HFE, inhibits iron uptake via down-regulation of Zip14 in HepG2 cells. J Biol Chem 283(31):21462–8 doi: 10.1074/jbc.M803150200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Girijashanker K, He L, Soleimani M, et al. (2008) Slc39a14 gene encodes ZIP14, a metal/bicarbonate symporter: similarities to the ZIP8 transporter. Mol Pharmacol 73(5):1413–23 doi: 10.1124/mol.107.043588 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Guthrie GJ, Aydemir TB, Troche C, Martin AB, Chang SM, Cousins RJ (2015) Influence of ZIP14 (slc39A14) on intestinal zinc processing and barrier function. Am J Physiol Gastrointest Liver Physiol 308(3):G171–8 doi: 10.1152/ajpgi.00021.2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Heitzer M, Hallmann A (2002) An extracellular matrix-localized metalloproteinase with an exceptional QEXXH metal binding site prefers copper for catalytic activity. J Biol Chem 277(31):28280–6 doi: 10.1074/jbc.M203925200 [DOI] [PubMed] [Google Scholar]
  24. Hong JS, Hung CR, Seth PK, Mason G, Bondy SC (1984) Effect of manganese treatment on the levels of neurotransmitters, hormones, and neuropeptides: modulation by stress. Environ Res 34(2):242–9 [DOI] [PubMed] [Google Scholar]
  25. Houdou M, Lebredonchel E, Garat A, et al. (2019) Involvement of thapsigargin- and cyclopiazonic acid-sensitive pumps in the rescue of TMEM165-associated glycosylation defects by Mn(2). FASEB J 33(2):2669–2679 doi: 10.1096/fj.201800387R [DOI] [PubMed] [Google Scholar]
  26. Hutchens S, Liu C, Jursa T, et al. (2017) Deficiency in the manganese efflux transporter SLC30A10 induces severe hypothyroidism in mice. J Biol Chem 292(23):9760–9773 doi: 10.1074/jbc.M117.783605 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Ikeda S, Sera Y, Yoshida M, et al. (2000a) Manganese deposits in patients with biliary atresia after hepatic porto-enterostomy. J Pediatr Surg 35(3):450–3 [DOI] [PubMed] [Google Scholar]
  28. Ikeda S, Yamaguchi Y, Sera Y, et al. (2000b) Manganese deposition in the globus pallidus in patients with biliary atresia. Transplantation 69(11):2339–43 [DOI] [PubMed] [Google Scholar]
  29. Jenkitkasemwong S, Akinyode A, Paulus E, et al. (2018) SLC39A14 deficiency alters manganese homeostasis and excretion resulting in brain manganese accumulation and motor deficits in mice. Proc Natl Acad Sci U S A 115(8):E1769–E1778 doi: 10.1073/pnas.1720739115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Juneja M, Shamim U, Joshi A, et al. (2018) A novel mutation in SLC39A14 causing hypermanganesemia associated with infantile onset dystonia. J Gene Med 20(4):e3012 doi: 10.1002/jgm.3012 [DOI] [PubMed] [Google Scholar]
  31. Kambe T, Tsuji T, Hashimoto A, Itsumura N (2015) The Physiological, Biochemical, and Molecular Roles of Zinc Transporters in Zinc Homeostasis and Metabolism. Physiol Rev 95(3):749–84 doi: 10.1152/physrev.00035.2014 [DOI] [PubMed] [Google Scholar]
  32. Kanebratt KP, Andersson TB (2008) Evaluation of HepaRG cells as an in vitro model for human drug metabolism studies. Drug Metab Dispos 36(7):1444–52 doi: 10.1124/dmd.107.020016 [DOI] [PubMed] [Google Scholar]
  33. Kwakye GF, Paoliello MM, Mukhopadhyay S, Bowman AB, Aschner M (2015) Manganese-Induced Parkinsonism and Parkinson's Disease: Shared and Distinguishable Features. Int J Environ Res Public Health 12(7):7519–40 doi: 10.3390/ijerph120707519 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Le Vee M, Jigorel E, Glaise D, Gripon P, Guguen-Guillouzo C, Fardel O (2006) Functional expression of sinusoidal and canalicular hepatic drug transporters in the differentiated human hepatoma HepaRG cell line. Eur J Pharm Sci 28(1-2):109–17 doi: 10.1016/j.ejps.2006.01.004 [DOI] [PubMed] [Google Scholar]
  35. Leitch S, Feng M, Muend S, Braiterman LT, Hubbard AL, Rao R (2011) Vesicular distribution of Secretory Pathway Ca(2)+-ATPase isoform 1 and a role in manganese detoxification in liver-derived polarized cells. Biometals 24(1):159–70 doi: 10.1007/s10534-010-9384-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Lichten LA, Cousins RJ (2009) Mammalian zinc transporters: nutritional and physiologic regulation. Annu Rev Nutr 29:153–76 doi: 10.1146/annurev-nutr-033009-083312 [DOI] [PubMed] [Google Scholar]
  37. Lin W, Vann DR, Doulias PT, et al. (2017) Hepatic metal ion transporter ZIP8 regulates manganese homeostasis and manganese-dependent enzyme activity. J Clin Invest 127(6):2407–2417 doi: 10.1172/JCI90896 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Liu C, Hutchens S, Jursa T, et al. (2017) Hypothyroidism induced by loss of the manganese efflux transporter SLC30A10 may be explained by reduced thyroxine production. J Biol Chem 292(40):16605–16615 doi: 10.1074/jbc.M117.804989 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Liuzzi JP, Aydemir F, Nam H, Knutson MD, Cousins RJ (2006) Zip14 (Slc39a14) mediates non-transferrin-bound iron uptake into cells. Proc Natl Acad Sci U S A 103(37):13612–7 doi: 10.1073/pnas.0606424103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Lucchini R, Bergamaschi E, Smargiassi A, Festa D, Apostoli P (1997) Motor function, olfactory threshold, and hematological indices in manganese-exposed ferroalloy workers. Environ Res 73(1-2):175–80 doi: 10.1006/enrs.1997.3702 [DOI] [PubMed] [Google Scholar]
  41. Mahadevan NR, Anufreichik V, Rodvold JJ, Chiu KT, Sepulveda H, Zanetti M (2012) Cell-extrinsic effects of tumor ER stress imprint myeloid dendritic cells and impair CD8(+) T cell priming. PLoS One 7(12):e51845 doi: 10.1371/journal.pone.0051845 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Marti-Sanchez L, Ortigoza-Escobar JD, Darling A, et al. (2018) Hypermanganesemia due to mutations in SLC39A14: further insights into Mn deposition in the central nervous system. Orphanet J Rare Dis 13(1):28 doi: 10.1186/s13023-018-0758-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Masuda M, Braun-Sommargren M, Crooks D, Smith DR (2013) Golgi phosphoprotein 4 (GPP130) is a sensitive and selective cellular target of manganese exposure. Synapse 67(5):205–15 doi: 10.1002/syn.21632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Mukhopadhyay S, Bachert C, Smith DR, Linstedt AD (2010) Manganese-induced trafficking and turnover of the cis-Golgi glycoprotein GPP130. Mol Biol Cell 21(7):1282–92 doi: 10.1091/mbc.E09-11-0985 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Mukhopadhyay S, Linstedt AD (2011) Identification of a gain-of-function mutation in a Golgi P-type ATPase that enhances Mn2+ efflux and protects against toxicity. Proc Natl Acad Sci U S A 108(2):858–63 doi: 10.1073/pnas.1013642108 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Mukhopadhyay S, Redler B, Linstedt AD (2013) Shiga toxin-binding site for host cell receptor GPP130 reveals unexpected divergence in toxin-trafficking mechanisms. Mol Biol Cell 24(15):2311–8 doi: 10.1091/mbc.E13-01-0057 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Park JH, Hogrebe M, Gruneberg M, et al. (2015) SLC39A8 Deficiency: A Disorder of Manganese Transport and Glycosylation. Am J Hum Genet 97(6):894–903 doi: 10.1016/j.ajhg.2015.11.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Pernelle K, Le Guevel R, Glaise D, et al. (2011) Automated detection of hepatotoxic compounds in human hepatocytes using HepaRG cells and image-based analysis of mitochondrial dysfunction with JC-1 dye. Toxicol Appl Pharmacol 254(3):256–66 doi: 10.1016/j.taap.2011.04.018 [DOI] [PubMed] [Google Scholar]
  49. Pihl RO, Parkes M (1977) Hair element content in learning disabled children. Science 198(4313):204–6 [DOI] [PubMed] [Google Scholar]
  50. Pinilla-Tenas JJ, Sparkman BK, Shawki A, et al. (2011) Zip14 is a complex broad-scope metal-ion transporter whose functional properties support roles in the cellular uptake of zinc and nontransferrin-bound iron. Am J Physiol Cell Physiol 301(4):C862–71 doi: 10.1152/ajpcell.00479.2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Porte Alcon S, Gorojod RM, Kotler ML (2018) Regulated Necrosis Orchestrates Microglial Cell Death in Manganese-Induced Toxicity. Neuroscience 393:206–225 doi: 10.1016/j.neuroscience.2018.10.006 [DOI] [PubMed] [Google Scholar]
  52. Potelle S, Dulary E, Climer L, et al. (2017) Manganese-induced turnover of TMEM165. Biochem J 474(9):1481–1493 doi: 10.1042/BCJ20160910 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Quadri M, Federico A, Zhao T, et al. (2012) Mutations in SLC30A10 cause parkinsonism and dystonia with hypermanganesemia, polycythemia, and chronic liver disease. Am J Hum Genet 90(3):467–77 doi: 10.1016/j.ajhg.2012.01.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Quadri M, Kamate M, Sharma S, et al. (2015) Manganese transport disorder: novel SLC30A10 mutations and early phenotypes. Mov Disord 30(7):996–1001 doi: 10.1002/mds.26202 [DOI] [PubMed] [Google Scholar]
  55. Riley LG, Cowley MJ, Gayevskiy V, et al. (2017) A SLC39A8 variant causes manganese deficiency, and glycosylation and mitochondrial disorders. J Inherit Metab Dis 40(2):261–269 doi: 10.1007/s10545-016-0010-6 [DOI] [PubMed] [Google Scholar]
  56. Rodan LH, Hauptman M, D'Gama AM, et al. (2018) Novel founder intronic variant in SLC39A14 in two families causing Manganism and potential treatment strategies. Mol Genet Metab 124(2):161–167 doi: 10.1016/j.ymgme.2018.04.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Rose C, Butterworth RF, Zayed J, et al. (1999) Manganese deposition in basal ganglia structures results from both portal-systemic shunting and liver dysfunction. Gastroenterology 117(3):640–4 [DOI] [PubMed] [Google Scholar]
  58. Rosnoblet C, Legrand D, Demaegd D, et al. (2013a) Impact of disease-causing mutations on TMEM165 subcellular localization, a recently identified protein involved in CDG-II. Hum Mol Genet 22(14):2914–28 doi: 10.1093/hmg/ddt146 [DOI] [PubMed] [Google Scholar]
  59. Rosnoblet C, Peanne R, Legrand D, Foulquier F (2013b) Glycosylation disorders of membrane trafficking. Glycoconj J 30(1):23–31 doi: 10.1007/s10719-012-9389-y [DOI] [PubMed] [Google Scholar]
  60. Roth JA (2006) Homeostatic and toxic mechanisms regulating manganese uptake, retention, and elimination. Biol Res 39(1):45–57 [DOI] [PubMed] [Google Scholar]
  61. Roth JA, Horbinski C, Higgins D, Lein P, Garrick MD (2002) Mechanisms of manganese-induced rat pheochromocytoma (PC12) cell death and cell differentiation. Neurotoxicology 23(2):147–57 [DOI] [PubMed] [Google Scholar]
  62. Scheiber IF, Wu Y, Morgan SE, Zhao N (2019) The intestinal metal transporter ZIP14 maintains systemic manganese homeostasis. J Biol Chem doi: 10.1074/jbc.RA119.008762 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Sharanek A, Azzi PB, Al-Attrache H, et al. (2014) Different dose-dependent mechanisms are involved in early cyclosporine a-induced cholestatic effects in hepaRG cells. Toxicol Sci 141(1):244–53 doi: 10.1093/toxsci/kfu122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Suda J, Zhu L, Karvar S (2011) Phosphorylation of radixin regulates cell polarity and Mrp-2 distribution in hepatocytes. Am J Physiol Cell Physiol 300(3):C416–24 doi: 10.1152/ajpcell.00467.2010 [DOI] [PubMed] [Google Scholar]
  65. Susukida T, Sekine S, Nozaki M, et al. (2016) Establishment of a Drug-Induced, Bile Acid-Dependent Hepatotoxicity Model Using HepaRG Cells. J Pharm Sci 105(4):1550–60 doi: 10.1016/j.xphs.2016.01.013 [DOI] [PubMed] [Google Scholar]
  66. Taylor CA, Hutchens S, Liu C, et al. (2019) SLC30A10 transporter in the digestive system regulates brain manganese under basal conditions while brain SLC30A10 protects against neurotoxicity. J Biol Chem 294(6):1860–1876 doi: 10.1074/jbc.RA118.005628 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Taylor KM, Morgan HE, Johnson A, Nicholson RI (2005) Structure-function analysis of a novel member of the LIV-1 subfamily of zinc transporters, ZIP14. FEBS Lett 579(2):427–32 doi: 10.1016/j.febslet.2004.12.006 [DOI] [PubMed] [Google Scholar]
  68. Tewari R, Bachert C, Linstedt AD (2015) Induced oligomerization targets Golgi proteins for degradation in lysosomes. Mol Biol Cell 26(24):4427–37 doi: 10.1091/mbc.E15-04-0207 [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Thompson KJ, Hein J, Baez A, Sosa JC, Wessling-Resnick M (2018) Manganese transport and toxicity in polarized WIF-B hepatocytes. Am J Physiol Gastrointest Liver Physiol 315(3):G351–G363 doi: 10.1152/ajpgi.00103.2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Towler MC, Prescott AR, James J, Lucocq JM, Ponnambalam S (2000) The manganese cation disrupts membrane dynamics along the secretory pathway. Exp Cell Res 259(1):167–79 doi: 10.1006/excr.2000.4958 [DOI] [PubMed] [Google Scholar]
  71. Tran TT, Chowanadisai W, Lonnerdal B, et al. (2002) Effects of neonatal dietary manganese exposure on brain dopamine levels and neurocognitive functions. Neurotoxicology 23(4–5):645–51 [DOI] [PubMed] [Google Scholar]
  72. Tuschl K, Meyer E, Valdivia LE, et al. (2016) Mutations in SLC39A14 disrupt manganese homeostasis and cause childhood-onset parkinsonism-dystonia. Nat Commun 7:11601 doi: 10.1038/ncomms11601 [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Wang T, Li X, Yang D, et al. (2015) ER stress and ER stress-mediated apoptosis are involved in manganese-induced neurotoxicity in the rat striatum in vivo. Neurotoxicology 48:109–19 doi: 10.1016/j.neuro.2015.02.007 [DOI] [PubMed] [Google Scholar]
  74. Wu C, Yuan G, Mo R, Huang Y, Luo T, Wang J (2019) Effect of endoplasmic reticulum stress involved in manganeseinduced neurotoxicity in rats. Mol Med Rep 19(6):5169–5176 doi: 10.3892/mmr.2019.10175 [DOI] [PubMed] [Google Scholar]
  75. Xin Y, Gao H, Wang J, et al. (2017) Manganese transporter Slc39a14 deficiency revealed its key role in maintaining manganese homeostasis in mice. Cell Discov 3:17025 doi: 10.1038/celldisc.2017.25 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Yamada M, Ohno S, Okayasu I, et al. (1986) Chronic manganese poisoning: a neuropathological study with determination of manganese distribution in the brain. Acta Neuropathol 70(3–4):273–8 [DOI] [PubMed] [Google Scholar]
  77. Yoon H, Kim DS, Lee GH, Kim KW, Kim HR, Chae HJ (2011) Apoptosis Induced by Manganese on Neuronal SK-N-MC Cell Line: Endoplasmic Reticulum (ER) Stress and Mitochondria Dysfunction. Environ Health Toxicol 26:e2011017 doi: 10.5620/eht.2011.26.e2011017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Zhao N, Gao J, Enns CA, Knutson MD (2010) ZRT/IRT-like protein 14 (ZIP14) promotes the cellular assimilation of iron from transferrin. J Biol Chem 285(42):32141–50 doi: 10.1074/jbc.M110.143248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Zhao N, Zhang AS, Worthen C, Knutson MD, Enns CA (2014) An iron-regulated and glycosylation-dependent proteasomal degradation pathway for the plasma membrane metal transporter ZIP14. Proc Natl Acad Sci U S A 111(25):9175–80 doi: 10.1073/pnas.1405355111 [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES