Over-expression of Slc30a8/ZnT8 selectively in the mouse α cell impairs glucagon release and responses to hypoglycemia
© The Author(s). 2016
Received: 4 January 2016
Accepted: 28 June 2016
Published: 7 July 2016
The human SLC30A8 gene encodes the secretory granule-localised zinc transporter ZnT8 whose expression is chiefly restricted to the endocrine pancreas. Single nucleotide polymorphisms (SNPs) in the human SLC30A8 gene have been associated, through genome-wide studies, with altered type 2 diabetes risk. In addition to a role in the control of insulin release, recent studies involving targeted gene ablation from the pancreatic α cell (Solomou et al., J Biol Chem 290(35):21432-42) have also implicated ZnT8 in the control of glucagon release. Up to now, however, the possibility that increased levels of the transporter in these cells may impact glucagon secretion has not been explored.
Here, we use a recently-developed reverse tetracyline transactivator promoter-regulated ZnT8 transgene to drive the over-expression of human ZnT8 selectively in the α cell in adult mice. Glucose homeostasis and glucagon secretion were subsequently assessed both in vivo during hypoglycemic clamps and from isolated islets in vitro.
Doxyclin-dependent human ZnT8 mRNA expression was apparent in both isolated islets and in fluorescence-activated cell sorting- (FACS) purified α cells. Examined at 12 weeks of age, intraperitoneal glucose (1 g/kg) tolerance was unchanged in transgenic mice versus wild-type littermates (n = 8-10 mice/genotype, p > 0.05) and sensitivity to intraperitoneal insulin (0.75U/kg) was similarly unaltered in transgenic animals. In contrast, under hyperinsulinemic-hypoglycemic clamp, a ~45 % (p < 0.001) reduction in glucose infusion rate was apparent, and glucagon release was significantly (~40 %, p < 0.01) impaired, in transgenic mice. Correspondingly, examined in vitro, glucagon secretion was significantly reduced (~30 %, p < 0.05) from transgenic versus control islets at low, stimulatory glucose concentrations (1 mM, p < 0.05) but not at high glucose (17 mM) glucose (p > 0.05). Over-expression of ZnT8 in glucagonoma-derived αTC1-9 cells increased granule free Zn2+ concentrations consistent with a role for Zn2+ in this compartment in the action of ZnT8 on glucagon secretion.
Increased ZnT8 expression, and a likely increase in intragranular free Zn2+ concentration, is deleterious in pancreatic α cells for stimulated glucagon release. These data provide further evidence that type 2 diabetes-associated polymorphisms in the SLC30A8/ZnT8 gene may act in part via alterations in glucagon release and suggest that ZnT8 activation may restrict glucagon release in some settings.
Type 2 diabetes mellitus (T2D) is a complex polygenic disease which affects ~ 1 in 12 of the adult population and consumes ~10 % of the health care budgets of most westernized societies . Although genome-wide association (GWA) and other studies have in recent years identified multiple loci as affecting the risk T2D [2, 3], functional work in model systems remains important if we are fully to understand the physiological role(s), and potential as pharmacotherapeutic targets, of the implicated genes. Most such studies up to now have used gene deletion in mice, inactivating candidates either globally or in disease-relevant tissues [4, 5]. In the case of the endocrine pancreas-restricted secretory granule zinc transporter SLC30A8/ZnT8, identified in GWA studies for T2D , this approach has been pivotal in highlighting the role of the transporter in the control of secretory granule formation and Zn2+ storage [7, 8] insulin secretion  and hepatic clearance of the hormone .
Nevertheless, the impact of SLC30A8 risk variants  on ZnT8 activity and T2D risk are still debated. The common risk variant rs13266634 in the SLC30A8 gene encodes an amino acid exchange (R325W) which is believed to lower transporter activity [7, 11]. On the other hand, rare truncating variants of ZnT8 are protective . The reasons for this complex relationship between ZnT8 levels and disease risk are not fully understood [13, 14]. Whilst the role of the transporter in the control of insulin secretion has been the chief focus of interest in recent years, the observation that ZnT8 is also expressed in the α cell in both rodents  and humans  leads to the possibility that an action via glucagon release may also affect diabetes risk. Indeed, Zn2+ ions have been shown by autometallography  to be present in the secretory granule of α as well as β cells. Correspondingly, we have recently shown, by α cell-selective deletion of ZnT8 in mice , an important role for this transporter in the control of glucagon secretion.
Importantly, and as well as providing insights into the aetiopathology of T2D, changes in the normal release of glucagon may also have consequences for glycemic control in Type 1 diabetes (T1D). In the latter disease, inadequate responses to hypoglycaemia constitute a substantial risk and limit the use of insulin treatment to achieve good glycemic control and minimize disease complications .
Although investigating the impact of the absence of a gene is usually highly informative, its overexpression may also provide important insights, particularly with respect to the possible impact of pharmacological approaches which activate the gene or its product. Inducible expression systems are consequently often used in mice to achieve both temporal and spatial (i.e. tissue-specific) control of the expression of a given gene. Components of the Tet Switches  originate from the tetracycline (Tet) resistance operon in E.coli and belong to one of the most evolved gene regulation systems. “Tet-Off” and “Tet-On” systems are used in the majority of the studies involving inducible expression. The Tet-Off system was initially developed in 1992 and in the presence of the antibiotic tetracycline the expression from a Tet-inducible promoter is decreased .
In order to utilize tetracycline as a regulator of transcription, a tetracycline-controlled transactivator (tTA) is controlled by fusion of the tetracycline repressor with a transcriptional activation domain from Herpes Simplex Virus (HSV). Thus, in the absence of tetracycline, the fusion protein can bind tet operator sequences and promote transcription while in the presence of the antibiotic, its binding to the protein makes it unable to bind DNA leading to a decrease in gene expression. The “Tet-On” system was later developed by mutation of the repressor portion of the tTA to create a reverse tetracycline controlled transactivator (rtTA) that relies on tetracycline for induction of gene expression rather than repression . The system was first used in the pancreatic β-cell by Efrat and colleagues  and about ten years later in the α-cell .
Recently, our laboratory used this approach to determine the effects of ZnT8 over-expression in the pancreatic β-cell in mice, driving rtTA expression with the rat insulin 2 promoter . In the present study, the rtTA sequence was placed under the control of the preproglucagon promoter in Glu-rtTA mice  allowing us to drive the expression of ZnT8 selectively in the α-cell in the adult mouse.
Using this approach we have investigated the effect of ZnT8 overexpression on glucagon secretion. Glu-rtTA mice were therefore crossed to mice bearing a human ZnT8 transgene whose expression was driven by the tet operator sequence. In contrast to the recently described effect of α cell-selective deletion of ZnT8 to enhance glucagon secretion at low glucose , we demonstrate that ZnT8 over-expression results in the suppression of glucagon release during hypoglycaemia, consequently enhancing glucose clearance.
Chemicals and biochemical were purchased from Sigma-Aldrich (Poole, Dorset, U.K.) unless otherwise indicated.
Generation and genotyping of αZnT8Tg mice
Glu-rtTA mice, which possess a 1.1 kb region of the preproglucagon promoter upstream of rtTA , were crossed to animals bearing a human ZnT8-overexpressing transgene (ZnT8Tg) as described in . Heterozygous Glu-rtTA mice were crossed to homozygous ZnT8Tg animals. Two ZnT8Tg founders were used, corresponding to lines #31 and #23 in . The litters comprised Glu-rtTA offspring, which expressed the human ZnT8 transgene after induction with docycycline (as described below), while littermates bearing the ZnT8Tg allele alone, and born at Mendelian frequency (50 %), were used as controls. Doxycyclin, a tetracycline derivative, was given to all experimental mice in the drinking water (2 g/L) from the age of six weeks in order to induce ZnT8 expression in Glu-rtTA+:ZnT8Tg+ animals . Animals were kept in a pathogen-free facility under a 12 h light-dark cycle with access to water and a standard mouse diet (Lillico Biotechnology). After weaning at 3–4 weeks of age mice were housed two to five per cage. All strains were maintained on a C57/BL6/J background.
Islet isolation and culture
Mice were sacrificed by cervical dislocation and islets isolated essentially as described . In brief, pancreata were inflated with collagenase solution at 1ug/ml (Serva) and placed in a water bath at 37 °C for 10 min. After centrifugation and washing islets were purified on a Histopaque 119 (Sigma) gradient, by centrifugation at 2500 rpm for 20 min. The islet layer was recovered and islets cultured in complete RPMI 1640 medium (Gibco; 11 mM glucose) for 2–4 h at 37 °C islets before hand-picking into fresh media.
Islet dissociation, fluorescence-activated cell sorting (FACS) and FACS analysis
Anti-mouse Alexa 568
Anti-rabbit Alexa 488
Anti-guinea pig Alexa 488
Anti-mouse Alexa 488
RNA extraction and cDNA synthesis
Islets were washed once in phosphate-buffered saline (PBS) followed by addition of TRIzol (ThermoFisher). Chloroform (200 μl per ml of TRIzol) was added and after centrifugation the upper aqueous phase was removed and RNA was precipitated by adding 400 μl isopropanol per ml of TRIzol. After re-centrifugation and washing the dried pellet was finally resuspended in nuclease-free water. The same quantity of RNA was used from each sample to perform a reverse transcription polymerase chain reaction (RT-PCR) and cDNA synthesis using random primers. cDNA was generated from RNA (up to 1 μg) using a High Capacity Reverse Transcription kit (Applied Biosystems) according the manufacturer’s instructions using the following thermocycler protocol: 10 min 25 °C, 2 h 37 °C, 5 min. 85 °C, hold 4 °C.
Quantitative PCR (qPCR)
For gene expression measurements cDNA (2 μl) from the RT-PCR reaction above were used as template for quantitative Real Time PCR (qPCR) using a Fast SYBR Green Master Mix (Invitrogen) according to the manufacturer’s instructions. The reaction was initiated at 50 °C for 2 min. followed by the activation and pre-denaturation step at 95 °C for 10 min. The run was made up of 40 cycles of 15 s at 95 °C and 1 min. at 60 °C.
αTC1.9 cell transfection
αTC1.9 cells were transfected with a human ZnT8 (W325 variant) expression vector or with the corresponding empty vector (EV), using Lipofectamine2000 (LifeTechnologies) as previously described [25, 26] and according to the manufacturer’s instruction. For cytosolic Zn2+ measurement, cells were co-transfected with an eCALWY-4  expression vector. Imaging experiments were performed the day after transfection.
Cytosolic Zn2+ measurement with eCALWY-4
Cells on coverslips were washed twice in Krebs-HEPES-bicarbonate (KHB) buffer (140 mM NaCl, 3.6 mM KCl, 0.5 mM NaH2PO4, 0.2 mM MgSO4, 1.5 mM CaCl2, 10 mM HEPES, 25 mM NaHCO3), which was warmed, bubbled with 95:5 O2/CO2, set to pH 7.4, and contained 11 mM glucose. Imaging of [Zn2+] using eCALWY sensors  was carried out as optimized before [25, 26]. Briefly, cells were maintained at 37 °C throughout with a heating stage (MC60, LINKAM, Scientific Instruments), and KHB was perifused (1.5 to 2 mL/min) with additions as stated in the figures. Images were captured at 433 nm monochromatic excitation wavelength (Polychrome IV, Till photonics) using an Olympus IX-70 wide-field microscope with a 40×/1.35NA oil immersion objective and a zyla sCMOS camera (Andor Technology) controlled by Micromanager software. Acquisition rate was 20 images/min. Emitted light was splitted and filtered by a Dual-View beam splitter (Photometrics) equipped with a 505dcxn dichroic mirror and two emission filters (Chroma Technology, D470/24 for cerulean and D535/30 for citrine). Image analysis was performed with ImageJ software using a homemade macro and the fluorescence emission ratios were derived after subtracting background. Steady-state fluorescence intensity ratio citrine/cerulean (R) was measured, then maximum and minimum ratios were determined to calculate free Zn2+ concentration using the following formula: [Zn2+] = K d(Rmax – R)/(R – Rmin). The maximum ratio (Rmax) was obtained upon intracellular zinc chelation with 50 μM TPEN and the minimum ratio (Rmin) was obtain upon zinc saturation with 100 μM ZnCl2 in the presence of the Zn2+ ionophore, pyrithione (5 μM).
Granular Zn2+ Imaging with Zinpyr-4
αTC1.9 cells were incubated for 20 min. before imaging in 1 μM Zinpyr-4 (Santa Cruz Biotechnology), and washed twice in imaging buffer. Acquisitions were performed as described above with additions as stated on the figures. Zinpyr-4 was excited at 488 nm wavelength and signal was collected through a 535/50 nm emission filter. Differences in Zinpyr4 mean intensity between EV and ZnT8-expressing cells were measured using ImageJ.
Glucagon secretion was measured from islets essentially as described in detail in . In brief, 18 size-matched islets per condition were incubated with constant agitation for 1 h in 0.5 mL Krebs-HEPES bicarbonate buffer at 37 °C with either 1 mM or 17 mM glucose, and total and secreted glucagon measured at the end of the incubations by radioimmunoassay (Millipore). Details of intraperitoneal glucose (1 g/kg; IPGTT) and insulin (0.5 U/kg; IPITT) tolerance tests, and hypoglycemic clamps are provided in .
Student’s t test was used to identify differences between two independent variables and assessments between multiple variables assessed by two-way ANOVA (with suitable correction from multiple tests), followed by Bonferroni’s post hoc test. All analyses were performed using GraphPad Prism 6.0, and p < 0.05 was considered significant. Values are presented as means ± S.E.
Expression of human ZnT8 in transgenic islets
Initially to check that the administration of doxycyclin was effective in inducing the overexpression of ZnT8, total RNA was extracted from isolated islets incubated overnight with doxycyclin (5 μg/ml). qPCR analysis revealed expression of the human form of ZnT8 in the mice containing both the overexpressing transgene and the Glu-rtTA but not in the control mice carrying only the ZnT8 transgene (Fig. 1b). We tested both founders that carried the transgene and observed that only founder 2 (#31 from ) expressed detectable levels of human ZnT8. Consequently, offspring from this founder was used in all in experiments.
In order to obtain a more accurate assessment of the degree of overexpression in a pure α-cell population and as opposed to islets, which are largely composed of β-cells , isolated islets were dissociated and stained with glucagon for fluorescence-activated cell sorting (FACS). RNA was then extracted from the sorted cells to check for expression of the human ZnT8 in the α-cells obtained from transgenic and control animals (Fig. 1c). Whilst essentially absent from non-transgenic islets, hZnT8 mRNA was readily detected in islets from transgenic animals.
Intraperitoneal glucose and insulin tolerance are unaltered in αZnT8Tg mice
Insulin sensitivity was similarly determine by intraperitoneal insulin tolerance tests (ITTs) were performed on transgenic and control male (Fig. 2c) and female (Fig. 2d) mice at the age of 14 weeks. Again, no differences were observed between the responses of αZnT8Tg and control mice.
Trangenic mice require an elevated glucose infusion rate (GIR) and display impaired glucagon secretion during hypoglycemic clamps
Glucagon secretion is impaired in islets isolated from αZnT8Tg mice
Impact of ZnT8 over-expression on granular and cytosolic free Zn2+ concentrations in clonal α-cells
In this report our aim was to overexpress ZnT8 in the pancreatic α-cell in order to investigate the effect on glucagon secretion. The results, which demonstrate interesting parallels with respect to our findings in αZnT8 null animals , reveal that overexpression of ZnT8 in the α-cell has no effect on glucose homeostasis or insulin sensitivity, as assessed by intraperitoneal tolerance tests. By contrast, increased α-cell ZnT8 levels strongly affect responses to hypoglycaemia, as studied in hyperinsulinaemic clamps, as well as glucagon secretion in response to low glucose both in vivo and in vitro. The findings from the transgenic mouse with respect to glucagon release are thus reciprocal to those obtained in αZnT8 null mice and further reinforce the view that ZnT8 has an important role in the α-cell in regulating glucagon secretion.
Measured by qPCR in FACS-purified α-cells from αZnT8Tg mice, human ZnT8 mRNA levels were approximately 0.6 times those of β-actin (Actb) mRNA (Fig. 1c). This value is similar to that measured for the murine ZnT8 homologue . Assuming similar amplification efficiencies of the primers used for human and rodent ZnT8, and homogeneous expression across the entire α-cell population, the above measurement implies roughly equivalent levels of mouse and human ZnT8 mRNA in transgenic α-cells, i.e. a doubling of the endogenous level in wild type mice. We note, however, that though the more active (W325) human ZnT8 variant was used in the present studies , the relative transporter activities of this versus the rodent (Q325) variant are not known, precluding a more accurate estimate of the extent of the increase in ZnT8 activity in αZnT8Tg versus control α-cells.
Likewise, efforts to quantify the degree of human ZnT8 expression in the α-cell at the protein level were unsuccessful. These included immunostaining followed by islet dissociation, FACS analysis, and confocal imaging. Both approaches revealed limited affinity or selectively of the available antibodies towards human ZnT8 (Table 2). Thus, staining of islets did not reveal human ZnT8-positive populations in the face of high background staining (results not shown). Likewise, under FACS analysis, the entire population of islet cells from either control or αZnT8Tg mice was found to be positive for human ZnT8 (results not shown). Similar findings were made over a range of primary and secondary antibody concentrations, and suggest at least partial reactivity of the anti-human antibody towards murine ZnT8. An anti-c-Myc antibody, aimed to detect the epitope tag present at the C-terminus of the ZnT8 transgene was also tested. Again, the staining was too weak across a range of primary antibody concentrations for meaningful quantitation (results not shown).
The results here complement those of a similar recent study from our laboratory . In this earlier study, human ZnT8 was over-expressed in the adult β-cell using an insulin promoter-dependent Tet-On system. In the latter model, glucose-induced insulin secretion from βZnT8Tg mice was impaired whereas Zn2+ release during stimulated exocytosis was elevated. A similar increase in granular Zn2+ content and secretion of these ions might reasonably be expected from αZnT8Tg α-cells especially since targeted deletion of ZnT8 led to a reduction of granular Zn2+ levels in both the α  and β  cell. Likewise, changes in cytosolic free Zn2+ cells levels may occur after ZnT8 overexpression (as observed in β cells after the deletion of the transporter) . Measurements using targeted Zn2+ probes  revealed the expected changes in compartmentalised Zn2+ upon ZnT8 over-expression in the α cell line αTC1-9 (Figs. 5 and 6). Thus, it seems likely that ZnT8 over-expression also increased granular Zn2+ in the primary α cell in the transgenic mice. Future studies, in which the latter mouse line is crossed to a reporter strain allowing the expression and identification of a fluorescent marker in the α cell , will be required to confirm these observations.
In addition to changes in cell function, we do not exclude the possibility that subtle changes (lowering) in α cell mass may also contribute to decreased glucagon release in αZnT8Tg mice, potentiating the impact on the acute release of the hormone observed after islet isolation (Fig. 4). Importantly, such changes may lead to alterations in the activity of signalling pathways the control cell survival . Similarly, changes in the expression of genes involved in glucose sensing by α-cells (e.g. glucokinase, Gck, or subunits of ATP-sensitive K+ channels, i.e. Kcnj11or Abcc8, etc.) [34, 35] may also contribute to altered glucagon release from αZnT8Tg mouse islets. We note, however, that alterations in the latter were not observed after ZnT8 ablation  or overexpression  from β cells. Changes in the expression of genes controlling glucagon synthesis or processing of the prohormone (e.g. Pcsk1 or Pcsk2) would appear unlikely given unaltered total glucagon levels in αZnT8Tg islets (not shown).
Interestingly, over-expression of ZnT8 in the β cell also substantially inhibited glucose-induced insulin release both in vivo and from isolated islets . In both β and α cells this might reflect slower dissolution of crystalline or other higher-order forms of the cargo hormones within secretory granules, impairing the formation and subsequent release of dimers or monomers through a diffusion-limiting pore . βZnT8Tg mice nonetheless displayed enhanced glucose clearance compared to wild-type animals . This change may be the consequence of increased Zn2+ release and an insulinomimetic action of these ions on target tissues , as well as impaired clearance of insulin by the liver . By contrast, the impaired hypoglycemic response observed in αZnT8Tg mice was largely in line with the observed decrease in plasma glucagon levels, arguing that any increase in Zn2+ co-release from the α cell is insufficient to compensate for the lowered levels of the latter hormone. In any case, we note that glucagon and Zn2+ are reported to exert opposing effects on glycolysis in the isolated liver cells, whilst exerting a similar, activating effect on glycogen breakdown .
In direct contrast to the activating effect of ZnT8 deletion in α cells , overexpression of the transporter in these cells inhibits glucagon release under hypoglycaemic conditions. The present results thus reinforce the view that ZnT8 inhibition may be useful as a means to enhance glucagon release and hypoglycemic responses in the context of T1D. Conversely, activation of ZnT8 in the α-cell, and inhibition of glucagon secretion, may be beneficial in T2D, complementing the effect of ZnT8 overexpression in β cells to enhance insulin action . Our findings also suggest that differences in the impact on T2D risk between rare  and more common  variants in the human SLC30A8/ZnT8 gene  might be explained in part by varying actions on glucagon release.
FACS, fluorescence-activated cell sorting; GIR, glucose infusion rate; rtTA, reverse tetracyclin transactivator; IPGTT, IPITT, intraperitoneal glucose and insulin tolerance tests, respectively; T1D, T2D, type 1 and type 2 diabetes mellitus, respectively; TMEM, N,N,N’,N’-tetrakis (2 pyridylmethyl) ethylenediamine
We are grateful to Dr Ahmed Mansouri (Max-Planck Institute, Goettingen, Germany) for providing Glu-rtTA transgenic mice and to Dr Lori Sussel (Barbara Davis Diabetes Center, University of Colorado, Denver) for αTC1-9 cells.
Supported by grants from Diabetes UK (Ph.D. studentship BDA 11/0004409 and Project BDA 11/0004210), the Wellcome Trust (Senior Investigator Award WT098424AIA), and the Medical Research Council (MRC) (Programme MR/J0003042/1) to G. A. R. This work was also supported by the Innovative Medicines Initiative Joint Undertaking under Grant Agreement 155005 (IMIDIA), resources of which are composed of financial contribution from the European Union’s Seventh Framework Programme (FP7/2007-2013) and European Federation of Pharmaceutical Industries and Associations (EFPIA) companies.
GAR designed and coordinated the study, wrote the manuscript. AS performed mouse crosses, glucose tolerance and glucagon secretion studies. EP performed hypoglycemic clamps. PC performed zinc imaging, analysed data. SML performed hypoglycemic clamps. JG undertook glucagon measurements. JL supervised glucagon measurements and edited the manuscript. CM supervised clamps, analyzed data, edited the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Ethics approval and consent to participate
All in vivo procedures were approved by a local ethical committee (Animal Welfare and Ethics Review Board, AWERB) and conducted according to U.K. Home Office regulations (Animal Scientific Procedures Act of 1986, Home Office Project License number PPL 70/06608, holder Dr Isabelle Leclerc), in the Central Biological Services (CBS) unit at the Hammersmith Campus of Imperial College London.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Scully T. Diabetes in numbers. Nature. 2012;485:S2–3.View ArticlePubMedGoogle Scholar
- Sladek R, Rocheleau G, Rung J, Dina C, Shen L, Serre D, Boutin P, Vincent D, Belisle A, Hadjadj S, et al. A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature. 2007;445:881–5.View ArticlePubMedGoogle Scholar
- Marullo L, El-Sayed Moustafa JS, Prokopenko I. Insights into the genetic susceptibility to type 2 diabetes from genome-wide association studies of glycaemic traits. Curr Diab Rep. 2014;14:551. doi:10.1007/s11892-014-0551-8.View ArticlePubMedGoogle Scholar
- Rutter GA. Dorothy Hodgkin Lecture 2014. Understanding genes identified by genome-wide association studies for type 2 diabetes. Diabet Med. 2014;31:1480–7. doi:10.1111/dme.12579.View ArticlePubMedGoogle Scholar
- da Silva Xavier G, Bellomo EA, McGinty JA, French PM, Rutter GA. Animal models of GWAS-identified type 2 diabetes genes. J Diabetes Res. 2013;2013:906590. doi:10.1155/2013/906590. Epub 902013 Apr 906511.View ArticlePubMedPubMed CentralGoogle Scholar
- Chimienti F, Devergnas S, Favier A, Seve M. Identification and cloning of a beta-cell-specific zinc transporter, ZnT-8, localized into insulin secretory granules. Diabetes. 2004;53:2330–7.View ArticlePubMedGoogle Scholar
- Nicolson TJ, Bellomo EA, Wijesekara N, Loder MK, Baldwin JM, Gyulkhandanyan AV, Koshkin V, Tarasov AI, Carzaniga R, Kronenberger K, et al. Insulin storage and glucose homeostasis in mice null for the granule zinc transporter ZnT8 and studies of the type 2 diabetes-associated variants. Diabetes. 2009;58:2070–83.View ArticlePubMedPubMed CentralGoogle Scholar
- Lemaire K, Ravier MA, Schraenen A, Creemers JW, Van de Plas R, Granvik M, Van Lommel L, Waelkens E, Chimienti F, Rutter GA, et al. Insulin crystallization depends on zinc transporter ZnT8 expression, but is not required for normal glucose homeostasis in mice. Proc Natl Acad Sci U S A. 2009;106:14872–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Pound LD, Sarkar SA, Benninger RK, Wang Y, Suwanichkul A, Shadoan MK, Printz RL, Oeser JK, Lee CE, Piston DW, et al. Deletion of the mouse Slc30a8 gene encoding zinc transporter-8 results in impaired insulin secretion. Biochem J. 2009;421:371–6.View ArticlePubMedPubMed CentralGoogle Scholar
- Tamaki M, Fujitani Y, Hara A, Uchida T, Tamura Y, Takeno K, Kawaguchi M, Watanabe T, Ogihara T, Fukunaka A, et al. The diabetes-susceptible gene SLC30A8/ZnT8 regulates hepatic insulin clearance. J Clin Invest. 2013;123:4513–24.View ArticlePubMedPubMed CentralGoogle Scholar
- Kim I, Kang ES, Yim YS, Ko SJ, Jeong SH, Rim JH, Kim YS, Ahn CW, Cha BS, Lee HC, Kim CH. A low-risk ZnT-8 allele (W325) for post-transplantation diabetes mellitus is protective against cyclosporin A-induced impairment of insulin secretion. Pharmacogenomics J. 2011;11:191–8. doi:10.1038/tpj.2010.22. Epub 2010 Mar 1030.View ArticlePubMedGoogle Scholar
- Flannick J, Thorleifsson G, Beer NL, Jacobs SB. Loss-of-function mutations in SLC30A8 protect against type 2 diabetes. Nat Genet. 2014;46:357–63.View ArticlePubMedPubMed CentralGoogle Scholar
- Rutter GA, Chimienti F. SLC30A8 mutations in type 2 diabetes. Diabetologia. 2015;58:31–6.View ArticlePubMedGoogle Scholar
- Davidson HW, Wenzlau JM, O’Brien RM. Zinc transporter 8 (ZnT8) and beta cell function. Trends Endocrinol Metab. 2014;25:415–24.View ArticlePubMedPubMed CentralGoogle Scholar
- Bramswig NC, Everett LJ, Schug J, Dorrell C, Liu C, Luo Y, Streeter PR, Naji A, Grompe M, Kaestner KH. Epigenomic plasticity enables human pancreatic alpha to beta cell reprogramming. J Clin Invest. 2013;123:1275–84. doi:10.1172/JCI66514. Epub 62013 Feb 66522.View ArticlePubMedPubMed CentralGoogle Scholar
- Kristiansen LH, Rungby J, Sondergaard LG, Stoltenberg M, Danscher G. Autometallography allows ultrastructural monitoring of zinc in the endocrine pancreas. Histochem Cell Biol. 2001;115:125–9.View ArticlePubMedGoogle Scholar
- Solomou A, Meur G, Bellomo E, Hodson DJ, Tomas A, Li SM, Philippe E, Herrera PL, Magnan C, Rutter GA. The zinc transporter Slc30a8/ZnT8 is required in a subpopulation of pancreatic alpha-cells for hypoglycemia-induced glucagon secretion. J Biol Chem. 2015;290:21432–42. doi:10.1074/jbc.M115.645291. Epub 642015 Jul 645215.View ArticlePubMedPubMed CentralGoogle Scholar
- Tamborlane WV, Amiel SA. Hypoglycemia in the treated diabetic patient. A risk of intensive insulin therapy. Endocrinol Metab Clin North Am. 1992;21:313–27.PubMedGoogle Scholar
- Gossen M, Bujard H. Tight control of gene expression in mammalian cells by tetracycline-responsive promoters. Proc Natl Acad Sci U S A. 1992;89:5547–51.View ArticlePubMedPubMed CentralGoogle Scholar
- Gossen M, Freundlieb S, Bender G, Muller G, Hillen W, Bujard H. Transcriptional activation by tetracyclines in mammalian cells. Science. 1995;268:1766–9.View ArticlePubMedGoogle Scholar
- Milo-Landesman D, Surana M, Berkovich I, Compagni A, Christofori G, Fleischer N, Efrat S. Correction of hyperglycemia in diabetic mice transplanted with reversibly immortalized pancreatic beta cells controlled by the tet-on regulatory system. Cell Transplant. 2001;10:645–50.PubMedGoogle Scholar
- Al-Hasani K, Pfeifer A, Courtney M, Ben-Othman N, Gjernes E, Vieira A, Druelle N, Avolio F, Ravassard P, Leuckx G, et al. Adult duct-lining cells can reprogram into beta-like cells able to counter repeated cycles of toxin-induced diabetes. Dev Cell. 2013;26:86–100.View ArticlePubMedGoogle Scholar
- Mitchell RK, Hu M, Chabosseau PL, Cane MC, Meur G, Bellomo EA, Carzaniga R, Collinson LM, Li WH, Hodson DJ, Rutter GA. Molecular genetic regulation of Slc30a8/ZnT8 reveals a positive association with glucose tolerance. Mol Endocrinol. 2015. doi:10.1210/me.2015-1227
- Ravier MA, Rutter GA. Isolation and culture of mouse pancreatic islets for ex vivo imaging studies with trappable or recombinant fluorescent probes. Methods Mol Biol. 2010;633:171–84. doi:10.1007/1978-1001-59745-59019-59745_59712.View ArticlePubMedGoogle Scholar
- Bellomo EA, Meur G, Rutter GA. Glucose regulates free cytosolic Zn(2)(+) concentration, Slc39 (ZiP), and metallothionein gene expression in primary pancreatic islet beta-cells. J Biol Chem. 2011;286:25778–89. doi:10.1074/jbc.M111.246082. Epub 242011 May 246025.View ArticlePubMedPubMed CentralGoogle Scholar
- Chabosseau P, Tuncay E, Meur G, Bellomo EA, Hessels A, Hughes S, Johnson PR, Bugliani M, Marchetti P, Turan B, et al. Mitochondrial and ER-targeted eCALWY probes reveal high levels of free Zn2+. ACS Chem Biol. 2014;9:2111–20. doi:10.1021/cb5004064. Epub 5002014 Jul 5004017.View ArticlePubMedGoogle Scholar
- Vinkenborg JL, Nicolson TJ, Bellomo EA, Koay MS, Rutter GA, Merkx M. Genetically encoded FRET sensors to monitor intracellular Zn2+ homeostasis. Nat Methods. 2009;6:737–40. doi:10.1038/nmeth.1368. Epub 2009 Aug 1030.View ArticlePubMedGoogle Scholar
- Elayat AA, el-Naggar MM, Tahir M. An immunocytochemical and morphometric study of the rat pancreatic islets. J Anat. 1995;186:629–37.PubMedPubMed CentralGoogle Scholar
- Ravier MA, Rutter GA. Glucose or insulin, but not zinc ions, inhibit glucagon secretion from mouse pancreatic alpha-cells. Diabetes. 2005;54:1789–97.View ArticlePubMedGoogle Scholar
- Evans ML, Sherwin RS. Brain glucose metabolism and hypoglycaemia. Diabetes Nutr Metab. 2002;15:294–6. discussion 296.PubMedGoogle Scholar
- Taborsky Jr GJ, Ahren B, Mundinger TO, Mei Q, Havel PJ. Autonomic mechanism and defects in the glucagon response to insulin-induced hypoglycaemia. Diabetes Nutr Metab. 2002;15:318–22. discussion 322–313.PubMedGoogle Scholar
- Gerber PA, Bellomo EA, Hodson DJ, Meur G, Solomou A, Mitchell RK, Hollinshead M, Chimienti F, Bosco D, Hughes SJ, et al. Hypoxia lowers SLC30A8/ZnT8 expression and free cytosolic Zn2+ in pancreatic beta cells. Diabetologia. 2014;57:1635–44. doi:10.1007/s00125-014-3266-0. Epub 02014 May 00128.View ArticlePubMedPubMed CentralGoogle Scholar
- Rutter GA, Chabosseau P, Bellomo EA, Maret W, Mitchell RK, Hodson DJ, Solomou A, Hu M. Intracellular zinc in insulin secretion and action: a determinant of diabetes risk? Proc Nutr Soc. 2015;14:1–12.Google Scholar
- Schuit FC, Huypens P, Heimberg H, Pipeleers DG. Glucose sensing in pancreatic beta-cells: a model for the study of other glucose-regulated cells in gut, pancreas, and hypothalamus. Diabetes. 2001;50:1–11.View ArticlePubMedGoogle Scholar
- Walker JN, Ramracheya R, Zhang Q, Johnson PR, Braun M, Rorsman P. Regulation of glucagon secretion by glucose: paracrine, intrinsic or both? Diabetes Obes Metab. 2011;13:95–105. doi:10.1111/j.1463-1326.2011.01450.x.View ArticlePubMedGoogle Scholar
- Tsuboi T, Rutter GA. Multiple forms of “kiss-and-run” exocytosis revealed by evanescent wave microscopy. Curr Biol. 2003;13:563–7.View ArticlePubMedGoogle Scholar
- Brand IA, Kleineke J. Intracellular zinc movement and its effect on the carbohydrate metabolism of isolated rat hepatocytes. J Biol Chem. 1996;271:1941–9.View ArticlePubMedGoogle Scholar