Literature DB >> 29700330

Prion protein modulates glucose homeostasis by altering intracellular iron.

Ajay Ashok1, Neena Singh2.   

Abstract

The prion protein (PrPC), a mainly neuronal protein, is known to modulate glucose homeostasis in mouse models. We explored the underlying mechanism in mouse models and the human pancreatic β-cell line 1.1B4. We report expression of PrPC on mouse pancreatic β-cells, where it promoted uptake of iron through divalent-metal-transporters. Accordingly, pancreatic iron stores in PrP knockout mice (PrP-/-) were significantly lower than wild type (PrP+/+) controls. Silencing of PrPC in 1.1B4 cells resulted in significant depletion of intracellular (IC) iron, and remarkably, upregulation of glucose transporter GLUT2 and insulin. Iron overloading, on the other hand, resulted in downregulation of GLUT2 and insulin in a PrPC-dependent manner. Similar observations were noted in the brain, liver, and neuroretina of iron overloaded PrP+/+ but not PrP-/- mice, indicating PrPC-mediated modulation of insulin and glucose homeostasis through iron. Peripheral challenge with glucose and insulin revealed blunting of the response in iron-overloaded PrP+/+ relative to PrP-/- mice, suggesting that PrPC-mediated modulation of IC iron influences both secretion and sensitivity of peripheral organs to insulin. These observations have implications for Alzheimer's disease and diabetic retinopathy, known complications of type-2-diabetes associated with brain and ocular iron-dyshomeostasis.

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Year:  2018        PMID: 29700330      PMCID: PMC5919926          DOI: 10.1038/s41598-018-24786-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Type-2-diabetes is a metabolic disorder characterized by hyperglycemia resulting from decreased secretion of insulin due to pancreatic β-cell dysfunction and resistance of peripheral organs to available insulin. The underlying pathobiology is complex, and includes a combination of host genetics and environmental factors[1]. Among the latter, a positive correlation between systemic iron and type-2-diabetes has been recognized for some time, but the underlying mechanism is not clear[2-9]. This correlation takes on an increased significance since type-2-diabetes is a known risk for Alzheimer’s disease (AD)[10,11], a common dementia of the elderly associated with impaired neuronal glucose metabolism and brain iron dyshomeostasis[12]. Likewise, diabetic retinopathy (DR), another complication of type-2-diabetes, is fueled by iron dyshomeostasis[13]. The possibility that iron serves as the pathogenic link between type-2-diabetes, AD, and DR is intriguing, and offers untapped opportunities for a better understanding of disease pathogenesis and unconventional therapeutic options through iron chelation. Interestingly, prion protein (PrPC), a mainly neuronal protein[14-16], has been reported to influence glucose homeostasis in mouse models[17-19] and facilitate iron uptake by functioning as a ferrireductase (FR) partner for divalent metal transporters[20]. Though apparently disconnected, it is likely that PrPC modulates blood glucose by altering the expression of glucose transporter 2 (GLUT2) on pancreatic β-cells through iron, a bidirectional glucose transporter that regulates the release of insulin[21-23]. A similar function of PrPC on neuronal cells might induce neurotoxicity by the combined effect of iron-mediated oxidative stress and glucose deprivation in disorders associated with brain and ocular iron dyshomeostasis such as AD, sporadic Creutzfeldt-Jakob-disease (sCJD), and DR[24]. Experimental proof of this hypothesis, however, is lacking. Here, we explored the correlation between PrPC-mediated change in IC iron and expression of glucose transporters in pancreatic β-cells, hepatocytes, neuronal cells, and the retina in mouse and cell models expressing variable levels of PrPC in the absence or presence of excess iron. We report that PrPC influences glucose homeostasis by modulating the expression of glucose transports through iron. Implications for AD and DR, common complications of long-standing type-2-diabetes associated with brain and ocular iron dyshomeostasis are discussed.

Results

The following mouse lines were used in this study; F2 generation of wild-type C57BL/6 (labeled as C6 PrP+/+) crossed with PrP-knock out on 129/Ola background developed by Manson et al.[25] (labeled as C6 PrP−/−), and FVB/NJ PrP−/− developed by Fischer et al. (labeled as PrP−/−)[26] that were used to develop FVB/NJ Tg40 mice that express 2x human PrP (labeled as Tg40 PrP).

PrPC is expressed mainly on β-cells of mouse pancreas

To evaluate the expression and post-translational processing of PrPC in mouse pancreas, immunohistochemistry and Western blotting was performed with two PrP-specific antibodies; 3F4 that reacts with human PrP, not mouse PrP, and 8H4 that reacts with both human and mouse PrP. Both antibodies react with unglycosylated and post-translationally glycosylated full-length (FL) PrP forms. However, their reactivity with post-translationally processed α-cleaved (C1) and β-cleaved (C2) C-terminal fragments of PrP differs[27]. 3F4 reacts with C2, not C1 where its epitope is lost, whereas 8H4 reacts with both C1 and C2. Thus, differential antibody reactivity combined with migration on SDS gels based on molecular mass provides a convenient method for distinguishing between α- (C1) and β-cleaved (C2) forms of PrP (Fig. 1a).
Figure 1

PrP is expressed on insulin positive β-cells in mouse pancreas, primary cells from mouse pancreas, and human insulin producing β-cell line 1.1B4: (a) Schematic representation of full length (FL), α-cleaved (C1), and β-cleaved (C2) forms of PrP and antibody reactivity. (b) Probing of pancreatic lysates for PrP shows the expected glycoforms in C6 PrP+/+ samples and no reactivity in C6 PrP−/− samples (lanes 1 & 2). β-actin provides a loading control. (c) Probing of lysates from 1.1B4 cells for PrP shows the expected glycoforms that are down-regulated in cells transfected with PrP-specific siRNA. α-tubulin provides a loading control. The full-length blots are provided in Supplementary File (Raw data). (d) Immunoreaction of 1.1B4 cells for PrP shows plasma membrane and endosomal reaction (panels 1 & 2). Scale bar: 20 μm. (e) Immunoreaction of pancreatic sections from Tg40 PrP mice with 3F4 shows a positive reaction for PrP that co-localizes with insulin staining on β-cells (panels 1 & 2). No reaction for PrP is detected in PrP−/− samples that show a robust reaction for insulin (panels 3 & 4). (f) Primary cultures from Tg40 PrP pancreas show a positive reaction for PrP in insulin positive β-cells (panels 1 & 2). No reaction for PrP is detected in cells from PrP−/− pancreas though insulin positive β-cells are prominent (panels 3 & 4). Scale bar: 20 μm.

PrP is expressed on insulin positive β-cells in mouse pancreas, primary cells from mouse pancreas, and human insulin producing β-cell line 1.1B4: (a) Schematic representation of full length (FL), α-cleaved (C1), and β-cleaved (C2) forms of PrP and antibody reactivity. (b) Probing of pancreatic lysates for PrP shows the expected glycoforms in C6 PrP+/+ samples and no reactivity in C6 PrP−/− samples (lanes 1 & 2). β-actin provides a loading control. (c) Probing of lysates from 1.1B4 cells for PrP shows the expected glycoforms that are down-regulated in cells transfected with PrP-specific siRNA. α-tubulin provides a loading control. The full-length blots are provided in Supplementary File (Raw data). (d) Immunoreaction of 1.1B4 cells for PrP shows plasma membrane and endosomal reaction (panels 1 & 2). Scale bar: 20 μm. (e) Immunoreaction of pancreatic sections from Tg40 PrP mice with 3F4 shows a positive reaction for PrP that co-localizes with insulin staining on β-cells (panels 1 & 2). No reaction for PrP is detected in PrP−/− samples that show a robust reaction for insulin (panels 3 & 4). (f) Primary cultures from Tg40 PrP pancreas show a positive reaction for PrP in insulin positive β-cells (panels 1 & 2). No reaction for PrP is detected in cells from PrP−/− pancreas though insulin positive β-cells are prominent (panels 3 & 4). Scale bar: 20 μm. Probing of Western blots of pancreatic lysates from C6 PrP+/+ and C6 PrP−/− mice with 8H4 revealed unglycosylated and glycosylated FL, and C2 and C1 forms similar to neuronal PrPC [27] in C6 PrP+/+, and no reactivity in C6 PrP−/− samples (Fig. 1b, lanes 1 & 2). Probing of 1.1B4 cell lysates with 3F4 revealed the unglycosylated and glycosylated FL PrPC as above, and almost complete loss of reactivity by silencing PrP (Fig. 1c, lanes 1–3). Immunoreaction of permeabilized 1.1B4 cells with 3F4 followed by Alexa Fluor-conjugated secondary antibody revealed prominent reaction on the plasma membrane and endocytic vesicles as in neuronal cells (Fig. 1d, panels 1 & 2)[28]. Immunoreaction of fixed sections of pancreas from Tg40 PrP and matching PrP−/− mice with 3F4 and insulin-specific antibody showed a strong reaction for PrPC on insulin positive β-cells in Tg40 PrP samples, and a positive reaction for insulin, but not 3F4 in PrP−/− samples (Fig. 1e, panels 1–4). A similar evaluation of cultured primary cells from freshly harvested pancreas showed a positive reaction for PrPC in insulin positive cells from Tg40 PrP samples, a reaction for insulin in PrP−/− samples that did not react with 3F4 as expected (Fig. 1f, panels 1–4).

Most of the PrPC in pancreatic β-cells is cleaved at the β-site

Under physiological conditions, PrPC expressed on neuronal cells recycles from the plasma membrane and undergoes α-cleavage in an endocytic compartment, resulting in the generation of C1[27]. Cleavage at the β-site is typical of disease-associated PrP-scrapie (PrPSc)[14,29-31], and is triggered by exposure to reactive oxygen species[32]. To evaluate whether post-translational processing of PrPC on pancreatic β-cells differs from neurons[27,33], pancreatic lysates from C6 mice and human brain (as a representative tissue for neurons) were deglycosylated and probed with 8H4. Surprisingly, pancreatic lysates from C6 PrP+/+ samples revealed barely detectable FL PrPC, most of which was detected as C2 and C1 fragments. Human brain sample, on the other hand, showed equivalent amounts of FL and C1, and C6 PrP−/− samples did not show any reactivity as expected (Fig. 2a, lanes 1–3).
Figure 2

Iron uptake is coupled with β-cleavage of PrPC: (a) Probing of deglycosylated pancreatic lysates from C6 PrP+/+ mice with 8H4 shows β-cleavage of majority of PrP. No reactivity is detected in C6 PrP−/− samples as expected. Most of the PrP from human brain homogenate is cleaved at the α-site (lanes 3). (All samples were fractionated and processed on the same gel. Complete gel is included in supplementary file-raw data). *Represents a non-specific band. (b) Probing of deglycosylated pancreatic lysates from Tg40 PrP mice with 3F4 shows β-cleavage of majority of PrP (lanes 1–6). Systemic iron overload increases FL and the β-cleaved form of PrP (lanes 2, 4 & 6 vs. 1, 3 & 5). Most of the PrP in human brain homogenate is FL (lanes 8 & 9). Pancreatic lysates from PrP−/− mice show no reactivity for 3F4 as expected. (c) The ratio of C2 vs. full-length PrP is significantly higher in pancreatic lysates relative to the brain. Values are mean + SEM of the indicated n. ***p < 0.001. (d) Exposure of PrP-GFP expressing 1.1B4 cells to ferric ammonium citrate (FAC) results in the loss of GFP tag from the plasma membrane within 20 minutes (panels 1–4). (e) Exposure of 1.1B4 cells expressing GFP-tagged DMT-1, ZIP8, or ZIP14 to FAC, on the other hand, shows no change in localization or intensity of GFP fluorescence up to 20 minutes (panels 1–6). Scale bar 20 μm. (f) Probing of deglycosylated lysates from 1.1B4 cells expressing vector, DMT-1, ZIP8, and ZIP14 with 3F4 reveals significant increase in the ratio of C2/FL in cells expressing DMT-1 and ZIP14 (lane 5 vs. 6 & 8; g). (The expression of GFP-tagged transfected proteins was equivalent (at 15–17%) as determined by manual counting of 20 random fields of each at 5×)- (see Supplementary Fig. S3). (g) The ratio of C2 vs. FL after normalization with transfection efficiency and β-actin shows a significant increase in cells expressing DMT-1 and ZIP14. Values are mean + SEM of the indicated n. *p < 0.05. The full-length blots are provided in Supplementary File (Raw data).

Iron uptake is coupled with β-cleavage of PrPC: (a) Probing of deglycosylated pancreatic lysates from C6 PrP+/+ mice with 8H4 shows β-cleavage of majority of PrP. No reactivity is detected in C6 PrP−/− samples as expected. Most of the PrP from human brain homogenate is cleaved at the α-site (lanes 3). (All samples were fractionated and processed on the same gel. Complete gel is included in supplementary file-raw data). *Represents a non-specific band. (b) Probing of deglycosylated pancreatic lysates from Tg40 PrP mice with 3F4 shows β-cleavage of majority of PrP (lanes 1–6). Systemic iron overload increases FL and the β-cleaved form of PrP (lanes 2, 4 & 6 vs. 1, 3 & 5). Most of the PrP in human brain homogenate is FL (lanes 8 & 9). Pancreatic lysates from PrP−/− mice show no reactivity for 3F4 as expected. (c) The ratio of C2 vs. full-length PrP is significantly higher in pancreatic lysates relative to the brain. Values are mean + SEM of the indicated n. ***p < 0.001. (d) Exposure of PrP-GFP expressing 1.1B4 cells to ferric ammonium citrate (FAC) results in the loss of GFP tag from the plasma membrane within 20 minutes (panels 1–4). (e) Exposure of 1.1B4 cells expressing GFP-tagged DMT-1, ZIP8, or ZIP14 to FAC, on the other hand, shows no change in localization or intensity of GFP fluorescence up to 20 minutes (panels 1–6). Scale bar 20 μm. (f) Probing of deglycosylated lysates from 1.1B4 cells expressing vector, DMT-1, ZIP8, and ZIP14 with 3F4 reveals significant increase in the ratio of C2/FL in cells expressing DMT-1 and ZIP14 (lane 5 vs. 6 & 8; g). (The expression of GFP-tagged transfected proteins was equivalent (at 15–17%) as determined by manual counting of 20 random fields of each at 5×)- (see Supplementary Fig. S3). (g) The ratio of C2 vs. FL after normalization with transfection efficiency and β-actin shows a significant increase in cells expressing DMT-1 and ZIP14. Values are mean + SEM of the indicated n. *p < 0.05. The full-length blots are provided in Supplementary File (Raw data). Similar results were obtained from deglycosylated pancreatic lysates from Tg40 PrP mice probed with 3F4. Majority of PrPC in the pancreas exhibited the mobility of C2. Systemic iron overload induced by injecting 36 µg/22 g mouse weight ferric ammonium citrate (FAC) upregulated FL PrPC to some extent, but the major difference was in the intensity of C2. (Fig. 2b, lanes 1–6; Fig. 2c). Pancreatic lysates from PrP−/− mice showed no reactivity with 3F4, while brain lysates revealed mainly FL PrPC and minimal reactivity for C2 (Fig. 2b, lanes 7–9; Fig. 2c). The small increase in C2 in iron over-loaded pancreas (Fig. 2c) indicated iron-mediated cleavage of PrP in vivo, a phenomenon that was investigated further in the 1.1 B4 cells in vitro. Similar results were obtained from probing the membrane with 8H4 (see Supplementary Fig. S2). Accordingly, 1.1B4 cells expressing green-fluorescent protein (GFP) tagged PrPC (PrPC-GFP) were exposed to FAC, and live cells were imaged every 5 min for up to 20 min. Since the GFP tag is inserted between N-terminal residues 37 and 38 of PrP[20,34], the premise was that the tag would be lost following α- or β-cleavage of PrPC. Representative images from time zero (T-0) and 20 min (T-20) time point are shown (Fig. 2d, panels 1–4). In control cells exposed to vehicle, the signal from PrPC-GFP was prominent at the plasma membrane, peri-nuclear Golgi region, and endocytic vesicles at T-0 and T-20 (Fig. 2d, panels 1 & 2). In FAC exposed cells, the distribution of PrPC-GFP at T-0 was similar to controls (Fig. 2d, panels 1 & 3). However, at T-20 most of the GFP signal was lost from the plasma membrane, though peri-nuclear and endosomal signal remained (Fig. 2d, panel 4). (The intensity of green fluorescence in the inset was increased 5-fold in panels 3 and 4). Thus, the GFP carrying N-terminus of PrPC is lost within 20 min of exposure to FAC. Based on Western blot results in Fig. 2b and published reports[32,35], it is likely that FAC induces β-cleavage of PrPC. To evaluate whether β-cleavage of PrPC is coupled with iron transport through divalent metal transporter-1 (DMT-1) or members of the Zrt Irt-like protein (ZIP) family, in particular ZIP14[20,36,37], 1.1B4 cells transfected with GFP-tagged DMT-1, ZIP8, and ZIP14 were exposed to FAC and imaged at T-0 and T-20. Unlike PrPC-GFP (Fig. 2d), there was no difference in the intensity or localization of DMT-1-GFP, ZIP8-GFP, or ZIP14-GFP following exposure to exogenous FAC (Fig. 2e, panels 1–6). However, overexpression of these transporters in 1.1B4 cells resulted in increased β-cleavage of PrPC in cells transfected with DMT-1 and ZIP14 (Fig. 2f, lanes 6 & 8; Fig. 2g). Since ZIP14 is known to mediate uptake of non-transferrin bound iron (NTBI) by pancreatic β-cells[38] (see Supplementary Fig. S1), these results suggest that PrPC functions as a FR partner for ZIP14, and is cleaved at the β-site during this process.

PrPC mediates uptake of iron by pancreatic β-cells in vitro and in vivo

To confirm the facilitative role of PrPC in iron uptake by the pancreas[39-41], 1.1B4 cells were transfected with siRNA to silence PrPC, and exposed to FAC. Following an incubation of 16 h, control and experimental cell lysates were processed for Western blotting and probed for ferritin. Silencing of PrPC resulted in significant downregulation of ferritin relative to non-transfected and scrambled siRNA transfected controls (Fig. 3a, lanes 1–3; Fig. 3b). Exposure to FAC caused significant upregulation of ferritin in controls as expected, but had minimal effect in the absence of PrPC (Fig. 3a, lanes 4–6); Fig. 3b).
Figure 3

PrP mediates iron uptake by pancreatic β-cells: (a) Non-transfected and 1.1B4 cells transfected with scrambled or PrP-specific siRNA were cultured in the absence (−FAC) or presence of ferric ammonium citrate (+FAC) for 16 h, and lysates were processed for Western blotting. Probing with 3F4 shows PrP glycoforms, and down-regulation by PrP-specific siRNA. Probing for ferritin shows significant down-regulation in cells where PrP had been silenced. Exposure to exogenous iron upregulates ferritin in untreated controls and cells transfected with scrambled siRNA, but has minimal effect on cells where PrP is silenced. (b) Quantification of ferritin expression by densitometry after normalization with β-actin. Values are mean ± SEM of the indicated n. *Represents change in ferritin relative to untreated, non-transfected control. ##Represents change in ferritin relative to FAC exposed non-transfected control. *p < 0.05, ##p < 0.01. (c) Western blotting shows upregulation of PrP in iron-overloaded C6 PrP+/+, no signal in C6 PrP−/− samples, and the expected glycoforms in human brain sample (lane 9). Ferritin is significantly higher in iron-overloaded relative to untreated C6 PrP+/+ samples and matched C6 PrP−/− samples. There is no change in ferritin iron overloaded C6 PrP−/− samples relative to untreated controls. Probing for TfR shows significant reduction in iron-overloaded relative to untreated C6 PrP+/+ samples and matched C6 PrP−/− samples. There is minimal change in TfR expression in iron-overloaded C6 PrP−/− samples relative to untreated controls. (d) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *Represents change in expression relative to untreated C6 PrP+/+ samples. *p < 0.05. Full-length blots are provided in Supplementary File (Raw data). (e) Immunoreaction of fixed pancreatic sections from the above mice for ferritin shows a positive reaction in mainly β-cell rich endocrine islets (panels 1–4). Iron over-loading increases ferritin reactivity in C6 PrP+/+ sections, but shows minimal change in C6 PrP−/− samples (panels 3 & 4). Reactivity for TfR is also localized to the endocrine islets (panels 5–8). Iron-overloading down-regulates TfR expression in C6 PrP+/+ samples (panel 6 vs. 5), but has minimal effect on C6 PrP−/− samples (panels 7 & 8). Scale bar 20 μm.

PrP mediates iron uptake by pancreatic β-cells: (a) Non-transfected and 1.1B4 cells transfected with scrambled or PrP-specific siRNA were cultured in the absence (−FAC) or presence of ferric ammonium citrate (+FAC) for 16 h, and lysates were processed for Western blotting. Probing with 3F4 shows PrP glycoforms, and down-regulation by PrP-specific siRNA. Probing for ferritin shows significant down-regulation in cells where PrP had been silenced. Exposure to exogenous iron upregulates ferritin in untreated controls and cells transfected with scrambled siRNA, but has minimal effect on cells where PrP is silenced. (b) Quantification of ferritin expression by densitometry after normalization with β-actin. Values are mean ± SEM of the indicated n. *Represents change in ferritin relative to untreated, non-transfected control. ##Represents change in ferritin relative to FAC exposed non-transfected control. *p < 0.05, ##p < 0.01. (c) Western blotting shows upregulation of PrP in iron-overloaded C6 PrP+/+, no signal in C6 PrP−/− samples, and the expected glycoforms in human brain sample (lane 9). Ferritin is significantly higher in iron-overloaded relative to untreated C6 PrP+/+ samples and matched C6 PrP−/− samples. There is no change in ferritin iron overloaded C6 PrP−/− samples relative to untreated controls. Probing for TfR shows significant reduction in iron-overloaded relative to untreated C6 PrP+/+ samples and matched C6 PrP−/− samples. There is minimal change in TfR expression in iron-overloaded C6 PrP−/− samples relative to untreated controls. (d) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *Represents change in expression relative to untreated C6 PrP+/+ samples. *p < 0.05. Full-length blots are provided in Supplementary File (Raw data). (e) Immunoreaction of fixed pancreatic sections from the above mice for ferritin shows a positive reaction in mainly β-cell rich endocrine islets (panels 1–4). Iron over-loading increases ferritin reactivity in C6 PrP+/+ sections, but shows minimal change in C6 PrP−/− samples (panels 3 & 4). Reactivity for TfR is also localized to the endocrine islets (panels 5–8). Iron-overloading down-regulates TfR expression in C6 PrP+/+ samples (panel 6 vs. 5), but has minimal effect on C6 PrP−/− samples (panels 7 & 8). Scale bar 20 μm. The above observations were substantiated in C6 PrP+/+ and C6 PrP−/− mice injected with iron to create systemic iron overload (Fig. 3c–e). Evaluation of pancreatic lysates by Western blotting revealed upregulation of PrPC in iron-overloaded C6 PrP+/+ mice as in Fig. 2b above (Fig. 3c, lanes 1, 2, 5, 6; Fig. 3d). Probing for ferritin revealed significantly less ferritin in C6 PrP−/− relative to C6 PrP+/+ controls. Overloading with iron caused significant upregulation of ferritin in C6 PrP+/+, but not in C6 PrP−/− samples (Fig. 3c, lanes 1–8; Fig. 3d). Expression of transferrin receptor (TfR) was reduced in iron overloaded C6 PrP+/+ mice, but showed minimal change in similarly treated C6 PrP−/− mice (Fig. 3c, lanes 1–8; Fig. 3d). Similar results were observed in the Tg40 PrP and PrP−/− mice (see Supplementary Fig. S4). Immunohistochemistry of fixed sections of pancreas from the above mice revealed reactivity for ferritin in the islets of both C6 PrP+/+ and C6 PrP−/− samples (Fig. 3e, panels 1 & 3), and a significant increase in iron overloaded C6 PrP+/+ relative to C6 PrP−/− samples (Fig. 3e, panels 2 & 4). Reaction for (TfR) showed significant downregulation in iron overloaded C6 PrP+/+, but minimal change in C6 PrP−/− samples (Fig. 3e, panels 5–8). Together, the above results leave little doubt that PrPC mediates iron uptake in pancreatic β-cells. Since increased systemic iron is associated with the risk of type-2-diabetes, further studies were directed at whether PrP-mediated change in pancreatic β-cell iron influences insulin production and/or secretion and blood glucose levels.

PrPC-mediated increase in intracellular iron downregulates glucose transporters in the pancreas, liver, and retina

Pancreatic β-cells sense blood glucose levels through GLUT2, a bidirectional glucose transporter, and release insulin to maintain glucose concentrations within a defined range[22,23]. To evaluate whether PrPC-mediated increase in β-cell iron alters the expression of GLUT2 (Fig. 4) and insulin (Fig. 6), pancreas from iron over-loaded Tg40 PrP and corresponding PrP−/− mice were subjected to Western blotting and immunohistochemistry (Fig. 4a–c).
Figure 4

PrP-mediated increase in pancreatic β-cell iron downregulates GLUT2: (a) Pancreatic lysates from control and iron overloaded mice were subjected to Western blotting and probed for GLUT2. Samples from control PrP−/− samples show significant upregulation of GLUT2 relative to Tg40 PrP samples (lanes 3 & 7 vs. 1 & 5; B). Iron overloading downregulates GLUT2 in Tg40 PrP samples (*star), but has minimal effect on similarly treated PrP−/− samples (arrowhead) (lanes 2 & 6 vs. 4 & 8; B). (b) Densitometric analysis of GLUT2 expression after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, **p < 0.01, ***p < 0.001, ns, not significant. The full-length blots are provided in Supplementary File (Raw data). (c) Immunoreaction of pancreatic sections from the above mice mirrors the results in panel a. Immunoreaction for GLUT2 is higher in PrP−/− relative to Tg40 PrP samples (panels 1 & 3). Iron overloading reduces reactivity for GLUT2 in Tg40 PrP, but not in PrP−/− samples (panels 1 vs. 2 & 3 vs. 4). Reaction for PrP is limited to pancreatic islets as for GLUT2, and iron overloading upregulates PrP (panels 5 & 6). PrP−/− samples show no reactivity for PrP as expected (panels 7 & 8). H&E sections show no obvious toxicity due to iron overloading (panels 9–12). Scale bar 20 μm.

Figure 6

PrP-mediated increase in β-cell iron decreases insulin: (a) Probing of Western blots of pancreatic lysates from control and iron overloaded Tg40 PrP and PrP−/− mice with antibodies specific for insulin dimer and pentamer (upper and lower panels) shows decreased expression in Tg40 PrP relative to PrP−/− samples (lanes 1 & 5 vs. 3 & 7; b). Iron overloading decreases insulin levels in Tg40 PrP (lanes 1vs. 2 & 5 vs. 6; b), but has minimal effect on PrP−/− samples (lanes 3 vs. 4 & 7 vs. 8; b). (b) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, ***p < 0.001, ns, not significant. The full-length blots are provided in Supplementary File (Raw data). (c) Immunohistochemistry of pancreas shows relatively higher reactivity for insulin in PrP−/− relative to Tg40 PrP sections (panels 1 & 3). Iron overloading decreases insulin reactivity in Tg40 PrP but not in PrP−/− samples (panels 1 vs. 2 & 3 vs. 4). Reaction for glucagon is higher in iron overloaded Tg40 PrP relative to control samples (panels 5 & 6). The difference is minimal in PrP−/− samples (panels 7 & 8). (d) Immunostaining of 1.1B4 cells for insulin shows decreased reactivity after 2 and 4 hours of exposure to FAC (panels 1–3). (e) Silencing of PrP with siRNA abrogates iron-mediated decrease in insulin reactivity (panels 1–4). Scale bar 20 μm.

PrP-mediated increase in pancreatic β-cell iron downregulates GLUT2: (a) Pancreatic lysates from control and iron overloaded mice were subjected to Western blotting and probed for GLUT2. Samples from control PrP−/− samples show significant upregulation of GLUT2 relative to Tg40 PrP samples (lanes 3 & 7 vs. 1 & 5; B). Iron overloading downregulates GLUT2 in Tg40 PrP samples (*star), but has minimal effect on similarly treated PrP−/− samples (arrowhead) (lanes 2 & 6 vs. 4 & 8; B). (b) Densitometric analysis of GLUT2 expression after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, **p < 0.01, ***p < 0.001, ns, not significant. The full-length blots are provided in Supplementary File (Raw data). (c) Immunoreaction of pancreatic sections from the above mice mirrors the results in panel a. Immunoreaction for GLUT2 is higher in PrP−/− relative to Tg40 PrP samples (panels 1 & 3). Iron overloading reduces reactivity for GLUT2 in Tg40 PrP, but not in PrP−/− samples (panels 1 vs. 2 & 3 vs. 4). Reaction for PrP is limited to pancreatic islets as for GLUT2, and iron overloading upregulates PrP (panels 5 & 6). PrP−/− samples show no reactivity for PrP as expected (panels 7 & 8). H&E sections show no obvious toxicity due to iron overloading (panels 9–12). Scale bar 20 μm. Probing of pancreatic lysates for GLUT2 revealed significantly higher expression in PrP−/− relative to Tg40 PrP samples. Overloading with iron downregulated GLUT2 in Tg40 PrP, but had no influence on PrP−/− mice (Fig. 4a, lanes 1–8, Fig. 4b). Immunohistochemistry of pancreas mirrored the Western blot results. Iron overloading decreased GLUT2 reactivity in Tg40 PrP, but had minimal effect on PrP−/− samples (Fig. 4c, panel 1–4). Expression of PrPC was upregulated by excess iron as in Fig. 2 above, and PrP−/− samples showed no reactivity as expected (Fig. 4c, panels 5–8). Staining with H & E showed no damage or change in the architecture of pancreatic tissue due to iron overloading (Fig. 4c, panels 9–12). To evaluate whether PrPC-mediated increase in IC iron alters glucose transporters on neuronal cells, in particular glucose transporter 3 (GLUT3)[42], brain lysates from Tg40 PrP and PrP−/− mice were subjected to Western blotting and probed for GLUT3. As noted in pancreatic β-cells, expression of GLUT3 was upregulated in PrP−/− relative to Tg40 PrP samples (Fig. 5a, lanes 1–4; Fig. 5b).
Figure 5

PrP-mediated increase in IC iron downregulates glucose transporters in the brain, neuroretina, and the liver: (a) Probing of Western blots of brain lysates from Tg40 PrP and PrP−/− mice for GLUT3 shows a significant increase in PrP−/− relative to Tg40 PrP samples (lanes 2 & 4 vs. 1 & 3). (b) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05. (c) Immunoreaction of M17 cells for GLUT3 shows increased reactivity in vector-transfected relative to PrPC over-expressing cells (panels 1 & 3). Exposure to iron downregulates GLUT3 significantly more in PrPC relative to vector controls (panels 2 & 4). Scale bar 25 μm. (d) Western blotting of lysates from control and iron-exposed PrPC and vector expressing cells mirrors the results in panel c. (e) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, ***p < 0.001, ns, not significant. (f) A similar evaluation of retinal lysates shows upregulation of GLUT1 in PrP−/− relative to Tg40 PrP samples (lanes 1 & 3). Iron overloading downregulates GLUT1 in Tg40 PrP samples relative to untreated controls, but has minimal effect on similarly treated PrP−/− samples (lanes 2 & 4). (g) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, **p < 0.01, ns, not significant. (h) Probing of Western blots of liver lysates for GLUT2 mirrors the results in pancreatic, brain, and neuroretinal lysates (lanes 1–4). (i) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, **p < 0.01, ns, not significant. The full-length blots are provided in Supplementary File (Raw data).

PrP-mediated increase in IC iron downregulates glucose transporters in the brain, neuroretina, and the liver: (a) Probing of Western blots of brain lysates from Tg40 PrP and PrP−/− mice for GLUT3 shows a significant increase in PrP−/− relative to Tg40 PrP samples (lanes 2 & 4 vs. 1 & 3). (b) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05. (c) Immunoreaction of M17 cells for GLUT3 shows increased reactivity in vector-transfected relative to PrPC over-expressing cells (panels 1 & 3). Exposure to iron downregulates GLUT3 significantly more in PrPC relative to vector controls (panels 2 & 4). Scale bar 25 μm. (d) Western blotting of lysates from control and iron-exposed PrPC and vector expressing cells mirrors the results in panel c. (e) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, ***p < 0.001, ns, not significant. (f) A similar evaluation of retinal lysates shows upregulation of GLUT1 in PrP−/− relative to Tg40 PrP samples (lanes 1 & 3). Iron overloading downregulates GLUT1 in Tg40 PrP samples relative to untreated controls, but has minimal effect on similarly treated PrP−/− samples (lanes 2 & 4). (g) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, **p < 0.01, ns, not significant. (h) Probing of Western blots of liver lysates for GLUT2 mirrors the results in pancreatic, brain, and neuroretinal lysates (lanes 1–4). (i) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, **p < 0.01, ns, not significant. The full-length blots are provided in Supplementary File (Raw data). Further confirmation of this phenomenon was obtained in M17 cells, a neuroblastoma cell line transfected to over-expressing PrPC and the respective vector control. Immunoreaction of fixed, permeabilized cells for GLUT3 revealed significantly less reactivity in PrPC-expressing cells relative to vector controls (Fig. 5c, panels 1 & 2). Exposure to exogenous iron decreased GLUT3 reactivity in both cell lines, but significantly more in PrPC-expressing cells relative to vector controls (Fig. 5c, panels 3 & 4). These results were confirmed by Western blotting of similarly treated cell lysates. Probing for GLUT3 revealed significantly lower expression in PrPC-expressing cells relative to vector controls (Fig. 5d, lanes 2 & 3; Fig. 5e). Exposure to exogenous iron downregulated GLUT3 in both cell lines, but significantly more in PrPC- expressing cells relative to vector controls (Fig. 5d, lanes 1 & 4; Fig. 5e). Evaluation of samples from the liver and neuroretina of Tg40 PrP and PrP−/− mice mimicked the results obtained in the pancreas, the brain, and neuronal cells. Western blotting showed downregulation of glucose transporter 1 (GLUT1) in the neuroretina and GLUT2 in the liver of Tg40 PrP relative to PrP−/− samples (Fig. 5f and h, lanes 1 & 3). Iron overloading resulted in the downregulation of GLUT1 and GLUT2 in Tg40 PrP mice, but not in PrP−/− mice (Fig. 5f and h, lanes 2 & 4; Fig. 5g and i). All the above investigation was also carried out in the C6 mice in both the strains; C6 PrP+/+ and C6 PrP−/−, with similar results in all 4 tissues (see Supplementary Fig. S5).

PrP-mediated increase in β-cell iron downregulates insulin

To evaluate whether expression of GLUT2 influences insulin levels in β-cells, pancreatic lysates from control and iron overloaded Tg40 PrP mice were subjected to Western blotting and probed for insulin with two different antibodies[43,44]. Essentially the same observations were noted as for GLUT2 (Fig. 4). Reactivity for insulin was significantly higher in PrP−/− relative to Tg40 PrP samples. Iron overloading decreased insulin in Tg40 PrP, but had minimal effect on PrP−/− samples (Fig. 6a, lanes 1–8, upper and lower panels; Fig. 6b). This experiment was also conducted in C6 mice in both the strains; C6 PrP+/+ and C6 PrP−/−, with similar results (see Supplementary Fig. S6). PrP-mediated increase in β-cell iron decreases insulin: (a) Probing of Western blots of pancreatic lysates from control and iron overloaded Tg40 PrP and PrP−/− mice with antibodies specific for insulin dimer and pentamer (upper and lower panels) shows decreased expression in Tg40 PrP relative to PrP−/− samples (lanes 1 & 5 vs. 3 & 7; b). Iron overloading decreases insulin levels in Tg40 PrP (lanes 1vs. 2 & 5 vs. 6; b), but has minimal effect on PrP−/− samples (lanes 3 vs. 4 & 7 vs. 8; b). (b) Density of protein bands after normalization with β-actin. Values are mean ± SEM of the indicated n. *p < 0.05, ***p < 0.001, ns, not significant. The full-length blots are provided in Supplementary File (Raw data). (c) Immunohistochemistry of pancreas shows relatively higher reactivity for insulin in PrP−/− relative to Tg40 PrP sections (panels 1 & 3). Iron overloading decreases insulin reactivity in Tg40 PrP but not in PrP−/− samples (panels 1 vs. 2 & 3 vs. 4). Reaction for glucagon is higher in iron overloaded Tg40 PrP relative to control samples (panels 5 & 6). The difference is minimal in PrP−/− samples (panels 7 & 8). (d) Immunostaining of 1.1B4 cells for insulin shows decreased reactivity after 2 and 4 hours of exposure to FAC (panels 1–3). (e) Silencing of PrP with siRNA abrogates iron-mediated decrease in insulin reactivity (panels 1–4). Scale bar 20 μm. Immunoreaction of fixed pancreas for insulin showed reactivity on β-cells as expected. The intensity of insulin reactivity was higher in PrP−/− relative to Tg40 PrP samples, and excess iron reduced the reaction in Tg40 PrP but had minimal effect on PrP−/− samples, consistent with Western blot results in panel A (Fig. 6c, panels 1–4). A similar analysis for glucagon showed increased reactivity in iron overloaded Tg40 PrP samples, indicating proliferation of glucagon producing α-cells by this treatment[45]. PrP−/− samples, on the other hand, showed minimal reactivity in untreated and iron overloaded samples (Fig. 6c, panels 5–8). To confirm a causal relationship between β-cell iron levels and insulin, 1.1B4 cells were exposed to FAC for 2 and 4 hours, and immunostained for insulin. Reactivity for insulin decreased after 2 h, and was negligible after 4 h. Nuclear staining revealed normal nuclear morphology with no obvious signs of toxicity (Fig. 6d, panels 1–3). Downregulation of PrPC by siRNA, however, reversed the negative effect of iron on insulin reactivity (Fig. 6e, panels 1–4). Together, the above observations demonstrate that increase in β-cell iron results in downregulation of GLUT2 and insulin, and PrPC plays a significant role in this process by facilitating iron uptake.

PrPC-mediated dysregulation of blood glucose is exacerbated by iron

To evaluate whether decreased reactivity for insulin in PrPC-expressing β-cells and exaggeration of this phenotype by excess iron is due to decreased synthesis or rapid release from cells, control and iron overloaded C6 PrP+/+ and C6 PrP−/− mice were injected with glucose or insulin according to guidelines for conducting glucose tolerance test (GTT) and insulin tolerance test (ITT) in laboratory mice[46]. Blood glucose was measured and recorded at the indicated times (Fig. 7). As expected, both mouse lines showed a spike in blood glucose after 15 min (T-15), and a gradual decline to basal levels (T-0) after 180 min (Fig. 7a). It is notable that blood glucose was significantly higher in C6 PrP+/+ samples at T-60 relative to C6 PrP−/− samples (Fig. 7a). This difference was more widespread and exaggerated following over-loading, and the blood glucose of C6 PrP+/+ mice was significantly higher than C6 PrP−/− at all the time-points tested (Fig. 7b). The results from ITT were more dramatic. Following an injection of insulin, the blood in C6 PrP+/+ mice remained significantly higher than C6 PrP−/− samples at all the time points tested regardless of iron overloading (Fig. 7c & d).
Figure 7

PrP-mediated increase in IC iron blunts the systemic response to peripheral challenge with glucose and insulin: (a) GTT in C6 PrP+/+ and C6 PrP−/− mice shows an initial spike in blood glucose in both mouse lines after 15 min, followed by a gradual decline to control levels by 180 min. Blood glucose is significantly higher in C6 PrP+/+ relative to C6 PrP−/− mice at the 60 min time point. (b) Iron overloading decreases glucose tolerance in C6 PrP+/+ relative to C6 PrP−/− mice at all-time points tested. (c) ITT shows a hypoglycemic response in C6 PrP−/− mice relative to that C6 PrP+/+ controls. (d) Iron overloading increases insulin resistance in C6 PrP+/+ mice, but has minimal effect on C6 PrP−/− mice. The data represent mean ± SEM of values from two different strains of mice. *p < 0.05, **p < 0.01, ***p < 0.001.

PrP-mediated increase in IC iron blunts the systemic response to peripheral challenge with glucose and insulin: (a) GTT in C6 PrP+/+ and C6 PrP−/− mice shows an initial spike in blood glucose in both mouse lines after 15 min, followed by a gradual decline to control levels by 180 min. Blood glucose is significantly higher in C6 PrP+/+ relative to C6 PrP−/− mice at the 60 min time point. (b) Iron overloading decreases glucose tolerance in C6 PrP+/+ relative to C6 PrP−/− mice at all-time points tested. (c) ITT shows a hypoglycemic response in C6 PrP−/− mice relative to that C6 PrP+/+ controls. (d) Iron overloading increases insulin resistance in C6 PrP+/+ mice, but has minimal effect on C6 PrP−/− mice. The data represent mean ± SEM of values from two different strains of mice. *p < 0.05, **p < 0.01, ***p < 0.001. Relatively poor glucose tolerance in C6 PrP+/+ mice especially after iron overloading suggests reduced levels of circulating insulin in response to glucose, consistent with decreased levels of GLUT2 and insulin in pancreatic β-cells observed above. Impaired response of C6 PrP+/+ mice to injected insulin regardless of iron overload suggests peripheral resistance to insulin that increases after iron overload. Together, the above observations indicate that C6 PrP+/+ mice display a phenotype of type-2-diabetes, i.e. impaired synthesis of insulin and peripheral resistance to available insulin[47], exacerbated further by iron overload. C6 PrP−/− mice, on the other hand, are relatively resistant to iron-mediated fluctuations in blood glucose. These experiments were also conducted on Tg40 PrP and PrP−/− mice with similar trend in GTT and ITT results.

Discussion

Our data demonstrate a direct correlation between PrPC and IC iron, and a converse relationship between IC iron and glucose uptake in pancreatic β-cells, neuronal cells, hepatocytes, and the retina. In pancreatic β-cells, PrPC-mediated increase in IC iron and downregulation of GLUT2 reduced the synthesis and release of insulin. In peripheral organs, iron overloading increased peripheral resistance to insulin in a PrPC-dependent manner, suggesting a dual role of PrPC-mediated increase in systemic iron on glucose homeostasis. Experimental conditions show that stimulated iron uptake by the pancreas resulted in β-cleavage of PrPC, indicating regulation of iron uptake through this process. Together, these observations explain the mechanism underlying PrPC-mediated modulation of blood glucose[17], and confirm the positive correlation between iron and type-2-diabetes[2] (Fig. 8). Since GLUT3 is downregulated in AD and prion disease affected brains[48,49], conditions associated with brain iron dyshomeostasis[50], it is likely that PrPC induces toxicity by the combined effect of oxidative stress and glucose deprivation[51].
Figure 8

Graphical representation of PrPC-mediated modulation of glucose homeostasis through iron. (1 & 2) PrPC facilitates cellular uptake of Tf-Fe3+ and non-Tf-bound iron (Fe3+) by functioning as a ferrireductase partner for DMT-1 and ZIP14[20]. (3) The increase in intracellular (IC) iron down-regulates HIF1α[53], resulting in the downregulation of GLUT2 in pancreatic β-cells and hepatocytes (black), GLUT 3 in neuronal cells (red), and GLUT1 at the blood-retinal barrier (blue). (4) Reduced uptake of glucose downregulates insulin, resulting in hyperglycemia. (5) Down-regulation or deletion of PrPC decreases IC iron, resulting in the upregulation of HIF1α[53] and glucose transporters. (6) Increased uptake of glucose stimulates insulin secretion with resultant hypoglycemia.

Graphical representation of PrPC-mediated modulation of glucose homeostasis through iron. (1 & 2) PrPC facilitates cellular uptake of Tf-Fe3+ and non-Tf-bound iron (Fe3+) by functioning as a ferrireductase partner for DMT-1 and ZIP14[20]. (3) The increase in intracellular (IC) iron down-regulates HIF1α[53], resulting in the downregulation of GLUT2 in pancreatic β-cells and hepatocytes (black), GLUT 3 in neuronal cells (red), and GLUT1 at the blood-retinal barrier (blue). (4) Reduced uptake of glucose downregulates insulin, resulting in hyperglycemia. (5) Down-regulation or deletion of PrPC decreases IC iron, resulting in the upregulation of HIF1α[53] and glucose transporters. (6) Increased uptake of glucose stimulates insulin secretion with resultant hypoglycemia. It was surprising that PrPC had a significant effect on IC iron in pancreatic β-cells despite relatively low expression[17]. PrPC was localized to insulin-producing β-cells in mouse pancreas, and showed the expected glycoforms as in neuronal cells. However, unlike neuronal cells, most of the PrPC on pancreatic β-cells and 1.1B4 cells was cleaved at the β-site, a processing event that was triggered by exogenous iron and over-expression of divalent metal transporters DMT-1 and ZIP14. The concomitant increase in cellular ferritin suggested that β-cleavage of PrPC is coupled with iron uptake[32], and proteolytic cleavage of PrPC could serve to regulate iron uptake[35]. Further exploration is necessary to understand this phenomenon. The expression and functional activity of ZIP14 and DMT-1 on human and mouse pancreatic β-cells has been described recently[38,52], and supports the above assumption. A positive correlation between systemic iron and type-2-diabetes is well-established, and several studies have addressed the underlying mechanism[2,4]. The increase in intracellular (IC) iron down-regulates hypoxia inducible factors 1 (HIF1α)[53], resulting in the downregulation of GLUTs. The inverse scenario where hyperglycemia results in iron dysregulation has also been studied[54]. Our data strengthen these observations, and provide a novel mechanism of glucose modulation through PrPC, a mainly neuronal protein, thereby linking both peripheral and neuronal glucose homeostasis to IC iron. Given the relatively low expression of PrPC on pancreatic β-cells in comparison to neurons, reduced expression of GLUT2 and insulin in the pancreas of Tg40 PrP relative to PrP−/− mice was intriguing, and suggested that even minor changes in β-cell IC iron are sufficient to alter glucose homeostasis. Systemic iron overload amplified this effect and increased peripheral resistance to insulin[47], simulating the phenotype of type-2-diabetes. PrP−/− mice, on the other hand, remained unaffected, demonstrating a direct correlation between iron, GLUT2, and insulin. The dose of iron used in our study was within the recommended range for the treatment of anemia, making it unlikely that the observed effects are due to iron-induced β-cell toxicity[4]. Knock-out of ZIP14 in mouse pancreas has been reported to induce hyperinsulinemia and hypoglycemia due to iron deficiency as in PrP−/− mice, lending support to our observations[55]. Similar observations were noted in the liver of Tg40 PrP and PrP−/− mice, indicating that the inverse correlation between IC iron and glucose transport is not limited to the pancreas, and relatively low expression of PrPC is sufficient to induce this change. Our results differ from a previous report indicating impaired or delayed response of PrP−/− mice to hyperglycemia[17], a discrepancy that is difficult to explain from our data. However, diverse observations regarding PrPC and glucose homeostasis have been reported in the literature[56-62] requiring further exploration on this subject. Reduced expression of GLUT3 in brain homogenates and GLUT1 in the neuroretina of Tg40 PrP relative to PrP−/− suggests similar regulation of IC iron and glucose transporters by PrPC as in pancreatic β-cells. These observations have significant implications for neuronal cells that express high levels of PrPC and require glucose for their high metabolic demands. Since several neurodegenerative diseases including AD and Creutzfeldt–Jakob disease (sCJD) are associated with neuronal iron dyshomeostasis[12], it is likely that in pathological conditions such as these, PrPC accentuates neuronal injury by the combined effect of iron-mediated oxidative stress and glucose deprivation. It is notable that GLUT3 is downregulated in scrapie infected animal brains[49] and human cases of CJD[63]. A similar downregulation of GLUT3 has been observed in AD brains[48], a known long-term complication of type-2-diabetes[10]. Whether PrPC is the principal regulator of GLUT3 expression in neurons is not clear from our data, and remains an open question. However, considering our observations on pancreatic β-cells and the similarities between GLUT2 and GLUT3[21], it is tempting to speculate that PrPC plays a similar role in neurons, and is likely to influence neuronal health under normal and pathological conditions by modulating iron and glucose uptake[24]. Likewise, PrPC is expressed widely in the neuroretina, including retinal pigment epithelial cells in the outer blood retinal barrier where it mediates uptake of iron by the neuroretina. PrPC is therefore likely to modulate both iron and glucose homeostasis in the retina, that, like the brain, has a high metabolic rate and depends on glucose for normal function. In conclusion, our observations reveal a novel function of PrPC in regulating blood glucose through iron, and reaffirm the correlation between systemic iron and type-2-diabetes. The relatively high expression of PrPC in the brain and the neuroretina underscores its significance as a key protein that regulates iron and glucose homeostasis, vital processes critical for the functioning of these metabolically active tissues. The correlation between PrPC, iron, and glucose homeostasis is likely to provide new, untapped therapeutic opportunities for type-2-diabetes, AD, and other neurodegenerative conditions associated with iron dyshomeostasis.

Materials and Methods

Ethics statement

All animals were housed in the Association for Assessment and Accreditation of Laboratory Animal Care International (AAALAC)-approved Animal Resource Center (ARC) at Case Western Reserve University (CWRU) School of Medicine (SOM) under a 12h day-night cycle, and provided ad libitum access to food and water. All experimental procedures were reviewed and approved by the CWRU IACUC committee in accordance with provisions of the Animal Welfare Act and Guide for the Care and Use and of Laboratory Animals as well as the U.S. Government Principles for the Utilization and Care of Vertebrate Animals Used in Testing, Research, and Training (animal protocol # 2015–0027). The ARC at CWRU is directed by Dr. Durfee, DVM, Diplomate ACLAM, and daily animal care is provided by two full-time veterinarians. The CWRU PHS Assurance number A-3145–01 is valid until 04/30/19.

Mouse strains

Four mouse strains were used to improve the validity of this study; PrP-knock out (PrP−/−) mice deposited by[25] to Jackson Laboratories (cat # 129-Prnptm2Edin/J Stock No: 012938) and crossed with C57BL/6 wild-type mice for 10 generations. F2 generation of wild type (C6 PrP+/+) and corresponding PrP−/− (C6 PrP−/−) were used for these studies. FVB/NJ Tg40 (Tg40 PrP) that express 2 × human PrP were generated from FVB/Prnp00 mice[26] kindly provided by the Prusiner laboratory and used as corresponding controls for Tg40 PrP mice[64]. All mouse lines were fed regular chow (Prolab Isopro RMH 3000 from www.labdiet.com) and maintained under similar conditions. All experiments were conducted on 6–8 week old male mice since females show less pronounced phenotype of glucose intolerance[17], and carried out at the same time of the day.

Chemicals

Alexa Fluor 546-tagged secondary antibodies (A11071, A11018) were from Southern Biotech, USA and Molecular Probes, USA respectively. PNGase F (P0704S) was from New England Biolabs (NEB), USA, Lipofectamine 3000 was from Invitrogen, USA. Ferric ammonium citrate (FAC) (F5879) and desferrioxamine (D9533) were from Sigma Aldrich, USA, D-glucose (dextrose-15023021) was from ThermoFisher Scientific, USA, and Humulin-R was from Eli Lilly, USA. siRNA against PrP (sc36318) and scrambled siRNA (sc37007) were from Santa Cruz Biotechnology Inc, USA. Scrambled siRNA sequence: Sense: UUCUCCGAACGUGUCACGUtt Antisense: ACGUGACACGUUCGGAGAAtt PrP siRNA (h) is a pool of 3 different siRNA duplexes: sc-36318A: Sense: GUGACUAUGAGGACCGUUAtt Antisense: UAACGGUCCUCAUAGUCACtt sc-36318B: Sense: GAGACCGACGUUAAGAUGAtt Antisense: UCAUCUUAACGUCGGUCUCtt sc-36318C: Sense: GUUGAGCAGAUGUGUAUCAtt Antisense: UGAUACACAUCUGCUCAACtt Note: all sequences are in 5′ → 3′ orientation. Plasmid encoding DMT-1-GFP (-IRE) was from Jerry Kaplan (University of Utah). PrPC and PrPC-GFP constructs were prepared by ligating cDNA from previously reported constructs in modified PiggyBac vectors (System Biosciences, Mountain view, CA)[34]. Plasmids encoding ZIP14 and ZIP8 tagged with GFP were obtained from Mitchell D. Knutson, PhD (University of Florida)[65]. Transfection was carried out using Lipofectamine3000 transfection kit (Invitrogen, USA).

Cell lines, transfection, and RNAi knockdown

Insulin producing human pancreatic β-cell line 1.1B4 was obtained from Sigma Aldrich (Cat. No: 10012801), USA and cultured as described[66]. This is a PANC-1 hybrid human pancreatic beta cell line that secretes insulin. Cells were cultured in RPMI-1640 supplemented with 2 mM Glutamine and 10% heat inactivated FBS. Cells were passaged every fourth day. For silencing PrPC, 1.1B4 cells were transfected with siRNA against PrPC or scrambled control using Lipofectamine RNAimax (Invitrogen). After 72 h, cells were exposed to 16.7 mM of glucose for 1 h and processed for Western blotting. Human neuroblastoma cells (M17) were purchased from ATCC. Cells expressing vector or PrPC were generated described in previous reports[67,68], and cultured in DMEM supplemented with 10% FBS. All cell lines were maintained at 37 °C in a humidified atmosphere containing 5% CO2.

Antibodies

PrPC-specific antibodies 3F4 and 8H4 were from Signet laboratories (Dedham, MA) and Sigma Aldrich respectively. Other antibodies were obtained from the following sources: ferritin specific for heavy and light chain (F5012) from Sigma Aldrich, USA, GLUT-1 (NB110-39113) from Novus Biologicals, GLUT-2 (ab54460), and GLUT-3 (ab41525) from Abcam, USA, TfR (13-6800) from Invitrogen, USA, insulin from Santa Cruz Biotechnology Inc. (sc-9168) and Novus Biologicals (NBP2-34260), USA (recognize insulin and a 51-amino acid polypeptide composed of A and B chains connected through the C-peptide), glucagon (sc-13091) from Santa Cruz Biotechnology Inc, USA, and β-actin (MAB1501) from Millipore, USA. HRP-conjugated secondary antibodies (anti-mouse, NA931V, anti-rabbit, NA934V) were from GE Healthcare, UK.

Iron treatment

1.1B4 and M17 cells cultured in complete medium were exposed to vehicle or 30 μM of ferric ammonium citrate (FAC) for 16 h at 37 °C before processing for immunostaining and Western blot as described[69]. To create systemic iron overload, age and sex-matched C6 PrP+/+, C6 PrP−/−, Tg40 PrP and PrP−/− mice were injected intraperitoneally with 36 µg/22 g mouse weight of FAC and euthanized after 24 h for further analysis[37]. The dose of iron used (1.6 mg/kg body weight) is well below the recommended ~10 mg/kg/day used for the treatment of anemia in an average adult weighing 75 kg[70].

Western blotting and Immunostaining

Western blotting and immunostaining were carried out as described[69]. In short, cells and tissues were lysed in RIPA lysis buffer (50 mM Tris-HCl pH 7.4, 100 mM NaCl, 1% NP-40, 0.5% deoxycholate), boiled in reducing gel-loading buffer for 5 min at 100 °C, and fractionated by SDS-PAGE. Fractionated proteins were transferred to PVDF membranes and probed for specific proteins. Quantification of protein bands was performed by densitometry using UN-SCAN-IT gels (version6.1) software (Silk Scientific) and analyzed graphically using GraphPad Prism (Version 5.0) software (GraphPad Software Inc.).

Glucose Tolerance Test (GTT) and Insulin Tolerance Test (ITT)

GTT and ITT were performed in age and sex-matched mice at the same time of day as described[46]. For GTT, the mice were fasted overnight with ad libidum access to water, and 1 g glucose/kg body weight was injected intraperitoneally. Blood glucose was monitored at 0, 15, 30, 60, 120, and 180 min post-injection with a glucometer (EasyMax-Diabetic Promotions, USA). For ITT, the mice had ad libidum access to food and water because PrP−/− mice went into hypoglycemic shock after insulin injection. Accordingly, non-fasted animals were injected with 0.75 U insulin/kg body weight intraperitoneally, and blood glucose was monitored as above at 0, 15, 30, 45, 60 and 120 min post-injection.

Statistical analysis

Data were analyzed using GraphPad Prism5 (GraphPad Software, Inc., La Jolla, CA) and presented as Mean ± SEM. Level of significance was calculated by Two-way ANOVA between the control and experimental groups. Supplementary information
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8.  The role of iron in prion disease and other neurodegenerative diseases.

Authors:  Neena Singh
Journal:  PLoS Pathog       Date:  2014-09-18       Impact factor: 6.823

9.  Unaltered Prion Pathogenesis in a Mouse Model of High-Fat Diet-Induced Insulin Resistance.

Authors:  Caihong Zhu; Petra Schwarz; Irina Abakumova; Adriano Aguzzi
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

10.  Zinc transporter ZIP14 functions in hepatic zinc, iron and glucose homeostasis during the innate immune response (endotoxemia).

Authors:  Tolunay Beker Aydemir; Shou-Mei Chang; Gregory J Guthrie; Alyssa B Maki; Moon-Suhn Ryu; Afife Karabiyik; Robert J Cousins
Journal:  PLoS One       Date:  2012-10-24       Impact factor: 3.240

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  13 in total

1.  Local synthesis of hepcidin in the anterior segment of the eye: A novel observation with physiological and pathological implications.

Authors:  Ajay Ashok; Suman Chaudhary; Dallas McDonald; Alexander Kritikos; Disha Bhargava; Neena Singh
Journal:  Exp Eye Res       Date:  2019-12-04       Impact factor: 3.467

2.  β-Cleavage of the prion protein in the human eye: Implications for the spread of infectious prions and human ocular disorders.

Authors:  Suman Chaudhary; Ajay Ashok; Aaron S Wise; Neil A Rana; Alexander E Kritikos; Ewald Lindner; Neena Singh
Journal:  Exp Eye Res       Date:  2021-10-07       Impact factor: 3.467

3.  Cellular prion protein dysfunction in a prototypical inherited metabolic myopathy.

Authors:  Sophie Mouillet-Richard; Fatima Djouadi; Fatima-Zohra Boufroura; Céline Tomkiewicz-Raulet; Virginie Poindessous; Johan Castille; Jean-Luc Vilotte; Jean Bastin
Journal:  Cell Mol Life Sci       Date:  2020-09-01       Impact factor: 9.261

Review 4.  Prions and prion diseases: Insights from the eye.

Authors:  Neena Singh; Suman Chaudhary; Ajay Ashok; Ewald Lindner
Journal:  Exp Eye Res       Date:  2020-08-25       Impact factor: 3.467

5.  Prion protein modulates endothelial to mesenchyme-like transition in trabecular meshwork cells: Implications for primary open angle glaucoma.

Authors:  Ajay Ashok; Min H Kang; Aaron S Wise; P Pattabiraman; William M Johnson; Michael Lonigro; Ranjana Ravikumar; Douglas J Rhee; Neena Singh
Journal:  Sci Rep       Date:  2019-09-11       Impact factor: 4.379

6.  Prion-derived tetrapeptide stabilizes thermolabile insulin via conformational trapping.

Authors:  Meghomukta Mukherjee; Debajyoti Das; Jit Sarkar; Nilanjan Banerjee; Jagannath Jana; Jyotsna Bhat; Jithender Reddy G; Jagadeesh Bharatam; Samit Chattopadhyay; Subhrangsu Chatterjee; Partha Chakrabarti
Journal:  iScience       Date:  2021-05-21

7.  Upregulation of brain hepcidin in prion diseases.

Authors:  Suman Chaudhary; Ajay Ashok; Aaron S Wise; Neil A Rana; Dallas McDonald; Alexander E Kritikos; Qingzhong Kong; Neena Singh
Journal:  Prion       Date:  2021-12       Impact factor: 2.547

Review 8.  Neurodegeneration in type 2 diabetes: Alzheimer's as a case study.

Authors:  Jalaja Madhusudhanan; Gowthaman Suresh; Vasudharani Devanathan
Journal:  Brain Behav       Date:  2020-03-14       Impact factor: 2.708

9.  TGFβ2-Hepcidin Feed-Forward Loop in the Trabecular Meshwork Implicates Iron in Glaucomatous Pathology.

Authors:  Ajay Ashok; Suman Chaudhary; Alexander E Kritikos; Min H Kang; Dallas McDonald; Douglas J Rhee; Neena Singh
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-03-09       Impact factor: 4.799

10.  Altered cellular localisation and expression, together with unconventional protein trafficking, of prion protein, PrPC, in type 1 diabetes.

Authors:  Helmut Hiller; Changjun Yang; Dawn E Beachy; Irina Kusmartseva; Eduardo Candelario-Jalil; Amanda L Posgai; Harry S Nick; Desmond Schatz; Mark A Atkinson; Clive H Wasserfall
Journal:  Diabetologia       Date:  2021-07-17       Impact factor: 10.122

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