Distinct Levels of Reactive Oxygen Species Coordinate Metabolic Activity with Beta-cell Mass Plasticity

Ahmed Alfar, Ezzaldin; Kirova, Dilyana; Konantz, Judith; Birke, Sarah; Mansfeld, Jörg; Ninov, Nikolay

doi:10.1038/s41598-017-03873-9

Download PDF

Article
Open access
Published: 26 June 2017

Distinct Levels of Reactive Oxygen Species Coordinate Metabolic Activity with Beta-cell Mass Plasticity

Ezzaldin Ahmed Alfar^1,2,3,4^na1,
Dilyana Kirova⁵^na1,
Judith Konantz¹,
Sarah Birke¹,
Jörg Mansfeld⁵ &
…
Nikolay Ninov^1,2,3

Scientific Reports volume 7, Article number: 3994 (2017) Cite this article

3888 Accesses
34 Citations
13 Altmetric
Metrics details

Subjects

Abstract

The pancreatic beta-cells control glucose homeostasis by secreting insulin in response to nutrient intake. The number of beta-cells is under tight metabolic control, as this number increases with higher nutrient intake. However, the signaling pathways matching nutrition with beta-cell mass plasticity remain poorly defined. By applying pharmacological and genetic manipulations, we show that reactive oxygen species (ROS) regulate dose-dependently beta-cell proliferation in vivo and in vitro. In particular, reducing ROS levels in beta-cells blocks their proliferation in response to nutrients. Using a non-invasive genetic sensor of intracellular hydrogen peroxide (H₂O₂), we reveal that glucose can directly increase the levels of H₂O₂. Furthermore, a moderate increase in H₂O₂ levels can stimulate beta-cell proliferation. Interestingly, while high H₂O₂ levels are inhibitory to beta-cell proliferation, they expand beta-cell mass in vivo by inducing rapid beta-cell neogenesis. Our study thus reveals a ROS-level-dependent mechanism linking nutrients with beta-cell mass plasticity. Hence, given the requirement of ROS for beta-cell mass expansion, antioxidant therapies should be applied with caution in diabetes.

Pancreatic β-cells respond to fuel pressure with an early metabolic switch

Article Open access 22 September 2020

A role and mechanism for redox sensing by SENP1 in β-cell responses to high fat feeding

Article Open access 06 January 2024

The NERP-4–SNAT2 axis regulates pancreatic β-cell maintenance and function

Article Open access 09 December 2023

Introduction

Diabetes is a metabolic disorder marked by chronic hyperglycemia. There are two major types of diabetes. Type one diabetes (T1D) is associated with an increase in blood glucose levels due to chronic autoimmune destruction of the beta-cells of the pancreas¹. Type two diabetes (T2D) is characterized by an increase in the peripheral demand for insulin due to insulin resistance. In the initial phases of T2D, beta-cells can compensate for the increased insulin demand by expansion and/or by producing more insulin. However, as the disease progresses, the capacity of beta-cells to compensate for the increased insulin demand is reduced due to an increase in cellular stress and beta-cell loss².

Among the factors that contribute to beta-cell dysfunction in diabetes, oxidative stress is thought to play an important role³. Notably, beta-cells express very low levels of antioxidant enzymes, such as catalase and superoxide-dismutase, which make them susceptible to oxidative damage^{4, 5}. Indeed, oxidative stress is frequently observed in islets of both human diabetes patients and mouse models of insulin resistance^6,7,8. Additionally, treatment of beta-cells in vitro with hydrogen peroxide (H₂O₂) leads to cytoplasmic translocation of essential transcription factors for beta-cell maturation and function, including MafA. A similar pattern of loss of transcription factors involved in maturation occurs in islets from T2D donors⁴. In line with these findings, antioxidant treatments and the overexpression of antioxidant enzymes in diabetic mouse models can delay diabetes development and/or enhances beta-cell function^9,10,11.

In contrast to the damaging effect of oxidative stress in the context of insulin resistance, H₂O₂ plays a role in beta-cell function under normal physiological conditions. For instance, glucose-stimulated insulin secretion is impaired by the removal of H₂O₂ ^{12, 13}. Additionally, treatment of pregnant mice with the antioxidant N-Acetyl cysteine (NAC) results in defects in normal beta-cell development in the offspring^{14, 15}. Thus, one can hypothesize that the effect of ROS on beta-cells is context dependent. Whereas in diabetes, chronic oxidative stress could contribute to beta-cell loss and dysfunction, under physiological conditions, moderate levels of ROS maintain beta-cell function. However, whether ROS are important for additional aspects of beta-cell biology, for instance their ability to undergo expansion remains to be addressed.

In the present study we used zebrafish as an in vivo model to investigate the role of H₂O₂ in the control of beta-cell proliferation. By applying genetic and pharmacological manipulations of H₂O₂ levels, we show that H₂O₂ is required for beta-cell proliferation in response to nutrients. To support our in vivo findings, we also used cultured rat beta-cells as an in vitro model. Using a genetically-encoded reporter of H₂O₂, we show that glucose stimulates a rapid H₂O₂-increase in vitro, with the levels of H₂O₂ being important for cell expansion. Thus, our results show that H₂O₂ may act as a second messenger to drive beta-cell proliferation in response to changes in glucose levels.

Results

Endogenous H₂O₂ accumulation is necessary for beta-cell proliferation

In order to study the role of H₂O₂ in beta-cell proliferation, we generated transgenic zebrafish lines allowing for beta-cell specific overexpressing of the antioxidant enzyme catalase, which converts H₂O₂ to molecular oxygen and water. To validate that Tg(ins:catalase;ins:H2BmCherry) animals express catalase in beta-cells, we performed whole mount in situ hybridization for catalase and insulin at 5 dpf. While catalase transcripts are not detected in the beta-cells of WT larvae, Tg(ins:catalase;ins:H2BmCherry) larvae exhibit robust catalase-expression in the beta-cells (Fig. 1A and B). The absence of catalase-expression in WT indicates that zebrafish beta-cells express very low levels of this antioxidant enzyme.

To determine whether endogenous H₂O₂ production in beta-cells controls the rate of their proliferation, we examined beta-cell mass in our Tg(ins:Catalase)-expressing larvae. Interestingly, during the early larval stages (4 dpf), Tg(ins:Catalase)-expressing larvae exhibited a reduction in beta-cell number compared to WT siblings (Fig. 1C and D), suggesting that catalase overexpression inhibits beta-cell expansion. To test whether the reduction in beta-cell numbers is a result of H₂O₂-removal resulting from catalase overexpression in beta-cells, we incubated Tg(ins:catalase;ins:H2BmCherry) larvae in 200 µM H₂O₂ from 2 to 4 dpf. This treatment restored beta-cell numbers in the transgenic larvae, as compared to controls (Figure S1).

During the late larval and juvenile stage of zebrafish development (21 to 45 dpf), high nutrient intake induces a high replication rate of beta-cells¹⁶. To examine whether catalase expression affects beta-cell proliferation in response to nutrients, we performed proliferation analysis using 5-ethynyl-2 deoxyuridine (EdU) uptake. WT and Tg(ins:catalase;ins:H2BmCherry) animals were incubated in EdU after feeding. Notably, catalase expression strongly reduced the proportion of EdU-positive beta-cells, as compared to controls (Fig. 2A and B). Consistent with this reduced proliferation rate, the islets from the Tg(ins:catalase;ins:H2BmCherry) animals showed reduced beta-cell mass composed of fewer and markedly scattered beta-cells compared to WT (Fig. 2C) (Figure S2). In contrast, glucagon⁺ cells appeared unaffected by the beta-cell-specific expression of catalase (Fig. 2C). We conclude that ROS accumulation in beta-cells, in particular H₂O₂, is necessary for their nutrient-stimulated proliferation.

Glucose increases H₂O₂ levels in INS-1 cells

We hypothesized that nutrients and in particular glucose, a known mitogen for beta-cells, induce H₂O₂ production in the beta-cell, which then acts as a second messenger to maintain beta-cell proliferation. To test if glucose can directly increase H₂O₂ levels in beta-cells, we took advantage of rat INS-1 cells, which are known to respond to glucose within the physiological range¹⁷. To monitor glucose-stimulated changes in H₂O₂ levels, INS-1 cells were transfected with HyPer-3, and stimulated with 18 mM D-glucose (Fig. 3A and B). HyPer-3 allows for ratiometric measurements of H₂O₂ levels, as it exhibits two excitation peaks at 420 nm and 488 nm, and one emission peak at 516 nm that depend on the intracellular levels of H₂O₂. Upon an increase in H₂O₂ levels, the 420 nm excitation peak decreases proportionally to an increase in the 488 nm excitation peak¹⁸. In 33 out of 74 cells, the HyPer-3 ratio rose almost immediately up to a maximum of ~1.65 about 8–10 minutes after glucose stimulation (Fig. 3C). Despite all cells experiencing the same glucose stimulus, we noticed that the dynamics of the H₂O₂ increase differed among individual cells. Some cells showed shorter bursts of H₂O₂ whereas in others the levels of H₂O₂ remained elevated during the course of the experiment (Figure S3). The remaining cells did not, or only weakly responded to D-glucose (maximum HyPer-3 ratio < 1.16, see material and methods) similar to control cells that were stimulated with L-glucose (Fig. 3C). This heterogeneity in responses could be due to the pre-existing differences in the metabolic or proliferative states of INS-1 cells at the time of glucose-treatment. Together these data indicate that direct glucose stimulation increases H₂O₂ levels.

Different levels of H₂O₂ control beta-cell proliferation and quiescence in vivo and in vitro

To investigate if an increase in H₂O₂ levels is sufficient to promote beta-cell proliferation, we modulated the levels of H₂O₂ by incubating 3 dpf zebrafish larvae in increasing concentrations of H₂O₂ (from 50 μM to 1 mM) (Fig. 4A) and over different durations (Fig. 4B) while scoring beta-cell proliferation using our beta-cell specific fluorescence ubiquitination cell cycle indicator (FUCCI)-S/G2/M-reporter line¹⁹. In this system, beta-cells that enter S-phase and progress through the cell cycle exhibit green-fluorescence, allowing to quantify beta-cell replication non-invasively. Strikingly, we found that treatment with lower concentrations of H₂O₂ (50 μM) for 24 h, increased cell-cycle entry compared to controls, whereas treatment with high concentrations of H₂O₂ (1 mM) decreased it (Fig. 4A). Furthermore, a short 1.5 h-treatment with intermediate concentrations of H₂O₂ (200 and 500 μM) followed by a wash-out also led to an increase in cell-cycle entry 24 h later (Fig. 4B). These data indicate that a prolonged but moderate increase in H₂O₂ levels (50 μM H₂O₂ for 24 h) as well as a transient burst of H₂O₂ (200–500 μM H₂O₂ for 1.5 h) are sufficient to trigger cell-cycle entry in beta-cells. In contrast, the prolonged treatment with high concentrations of H₂O₂ is inhibitory to beta-cell proliferation. In line with our findings using the ins:FUCCI-S/G2/M-reporter, treatment with 50 μM H₂O₂ caused an increase in total beta-cell numbers compared to controls (Fig. 4C and D), indicating that low levels of H₂O₂ cause a productive entry in the cell cycle. Finally, we determined if H₂O₂-treatment causes beta-cell toxicity and cell death. We performed terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) in the pancreas of larvae treated with 50 µM and 1 mM H₂O₂ from 3 to 4 dpf. We did not observe TUNEL-positivity in the beta-cells or in the surrounding pancreatic tissue from the control or the H₂O₂-treatment groups (Figure S4A–C). TUNEL⁺ beta-cells were only observed in the positive controls, in which we experimentally induced targeted beta-cell ablation (Figure S4D).

It must be noted that the concentration range (50 µM to 1 mM H₂O₂) that we used in vivo might seem un-physiological if directly applied to cells, however, the actual concentration that reaches the internal organs of the zebrafish larvae in vivo is likely much lower^{20, 21}. To directly test if lower levels of H₂O₂ levels can promote proliferation when applied directly to mammalian beta-cells, we treated INS-1 cells for five days with low, nontoxic levels of exogenously added H₂O₂ or with the reducing agent N-acetyl-cysteine (NAC) as a negative control. Because H₂O₂ is metabolized within an hour in cell culture medium²², we supplied H₂O₂ every 24 hours, while NAC was only added in the beginning of the experiment. Treatment of INS-1 cells with 0.25 μM H₂O₂ produced a significant increase in cell numbers compared to controls (Fig. 4E). Only addition of low levels of H₂O₂, ranging from 0.01 to 1 μM, promoted cell proliferation in a dose-dependent manner, whereas higher levels of H₂O₂ (10 μM) did not show a stimulatory effect. In line with the positive effect of H₂O₂ on proliferation, reducing ROS levels with 2 mM NAC decreased proliferation (Fig. 4E). These results show a conserved role of H₂O₂ in stimulating beta-cell proliferation with much lower concentrations eliciting a proliferative response in vitro as compared to in vivo.

High levels of H₂O₂ promote beta-cell neogenesis

Although treatment with 1 mM H₂O₂ for 24 h inhibited beta-cell proliferation in zebrafish, we were intrigued to find that the total number of beta-cells in H₂O₂-treated larvae exhibited a slight and significant increase compared to controls (Fig. 5A). This data suggests that while high concentrations of H₂O₂ block beta-cell proliferation, they might increase beta-cell numbers via other means, such as the formation of new beta-cells by neogenesis. To test this option, we utilized a double transgenic system that allows distinguishing newly differentiated from older beta-cells. In this system, the insulin promoter drives simultaneous expression of H2B GFP and dsRED. Due to the significantly faster maturation of GFP compared to dsRED, those beta-cells that exhibit GFP but no dsRED expression are newly-formed while older beta-cells co-express both GFP and dsRED¹⁶. Thereby, we incubated larvae with a high dose of H₂O₂ (3 to 4 dpf) and then we counted the number of H2B GFP-single⁺ cells in the principal islet. As anticipated, H₂O₂-treated larvae exhibited an increase in the number of newly-formed beta-cells, as compared to controls (Fig. 5B and C). Furthermore, using Tg(mnx1:GFP), which labels immature beta-cells on their way to differentiation^{23, 24}, we found a significant increase in the number of Tg(mnx1:GFP)⁺ and insulin-negative cells in the periphery of the principal islet after treating larvae with H₂O₂ (Figure S5). In conclusion, although 1 mM H₂O₂ inhibits proliferation of the beta-cells, it leads to an increase in the beta-cell mass through stimulating beta-cell neogenesis.

To identify the progenitors that could account for an increase in beta-cell differentiation in response to increasing levels of H₂O₂, we studied the role of the pancreatic Notch responsive cells (NRCs), which give rise to new beta-cells during development^{25, 26}. To follow NRC differentiation into beta-cells, we examined Tg(Tp1:H2BmCherry), a transgenic line that drives the expression of a fusion protein between Histone2B (H2B) and mCherry in NRCs. Given that H2BmCherry has a long half-life, beta-cells that differentiate from the NRCs retain H2BmCherry-flurescence due to perdurance¹⁶. To test if increasing the levels of H₂O₂ would increase the number of beta-cells that differentiate from NRCs, we treated larvae with 1 mM H₂O₂ from 3 to 4 dpf and quantified the number of Tp1:H2BmCherry⁺ and insulin⁺ cells in the primary islet. While Tp1:H2BmCherry⁺ and insulin⁺ cells were observed in both controls and H₂O₂-treated larvae, their numbers were higher following the treatment with H₂O₂ (Fig. 5D and E) (Figure S6). In addition, we analyzed the expression of neurod1, which marks the commitment to the endocrine-lineage²⁷. Tg(neurod1:GFP); Tg(Tp1:H2BmCherry) larvae were treated with 1 mM H₂O₂ from 3 to 4 dpf. Consistent with the results from the beta-cell-tracing experiment, the H₂O₂-treated larvae exhibited an increase in the numbers of Tp1:H2BmCherry⁺ and GFP⁺ cells in the primary islet (Fig. 5F and G) (Figure S7), suggesting that higher levels of H₂O₂ increase the differentiation of NRCs towards the endocrine lineages.

We tested if the H₂O₂-mediated induction of beta-cell neogenesis can enhance beta-cell regeneration after near-complete ablation of the beta-cells. For temporal ablation of beta-cells, we used a Tg(ins:NTR) line, which expresses the Nitroreductase (NTR) enzyme from Escherichia coli under the insulin promoter. The NTR enzyme converts the pro-drug metronidazole (MTZ) to its cytotoxic form, leading to the specific ablation of beta-cells²⁸. We ablated the beta-cells at 3 dpf, followed by incubation with H₂O₂ during regeneration. Using the Tg(ins:H2B-GFP; ins:dsRED) line, we observed that a majority of the regenerating beta-cells in both controls and H₂O₂-treated larvae were H2B-GFP⁺ but dsRED⁻ (Fig. 5H), indicating that these regenerating beta-cells arise by neogenesis rather than replication of pre-existing beta-cells that escape ablation. Notably, the H₂O₂-treatement increased the numbers of beta-cells post-ablation, indicating that higher levels of H₂O₂ can enhance regeneration (Fig. 5H and I).

Discussion

Our study provides evidence that a regular supply of low levels of exogenous H₂O₂ is necessary for beta-cell proliferation. Moderate levels of H₂O₂ promote beta-cell proliferation, whereas high levels of H₂O₂ levels induce beta-cell quiescence. Interestingly, while high levels of H₂O₂ inhibit proliferation, they can stimulate differentiation of new beta-cells from progenitors (Fig. 6). Our model also suggests that in a physiological context such as nutrient intake, H₂O₂ is produced by the beta-cell in response to glucose, and plays a role as a second-messenger in promoting beta-cell proliferation, thereby coordinate metabolic activity with beta-cell mass plasticity. These findings highlight that a fine balance of H₂O₂ levels should be maintained within the beta-cells to ensure proper function and ability for undergo metabolic compensation. Notably, during the final revision of our paper, the group of Maike Sander published a new study using a genetic mouse model allowing to overexpress catalase specifically in beta-cell mitochondria. The overexpression of catalase caused significant reduction in the percentage of proliferating beta-cells and a reduction in total beta-cell mass compared to controls29. Altogether, these results point to an evolutionary conserved role of H₂O₂ -production in maintaining beta-cell proliferation.

In addition to our work, recent studies have implicated the levels of ROS as important regulators of cell cycle progression and renewal in stem cells, including spermatogonial³⁰, basal airway³¹, and neural stem cells³², pointing towards a broad mechanism of oxidative-control of cell cycle progression. Interestingly, in neuronal stem cells, ROS regulate the activation of the PI3K-Akt pathway³². Furthermore, Wnt signaling pathway is regulated by H₂O₂ ³³. Interestingly, both Wnt and PI3-Akt pathways are involved in positively regulating beta-cell proliferation^34,35,36. Whether PI3-Akt and/or Wnt signaling pathways are modulated by H₂O₂ in our model to drive beta-cell proliferation remains to be elucidated.

Previous work in rodents and pancreatic explants illustrated a role for H₂O₂ in beta-cell differentiation during development and regeneration^{14, 15}. Similarly, we show that treatment with high concentrations of H₂O₂ stimulates beta-cell neogenesis and promotes regeneration in zebrafish. The similarity between all these findings highlights a conserved and important role of H₂O₂ in the control of beta-cell neogenesis. However, if H₂O₂ regulates differentiation directly by acting on the progenitors, or if it acts by inducing modifications in the progenitor niche that favor differentiation, still remains to be investigated. For example, previous work in zebrafish suggested that prolonged activation of insulin secretion from beta-cells can induce compensatory beta-cell differentiation³⁷. Interestingly, we observed a decrease in glucose levels in larvae treated with high concentrations of H₂O₂ (data not shown), which may indicate activation of the beta-cells that in turn promote new beta-cell differentiation via insulin secretion. It will be important to develop new tools allowing for cell type-specific manipulations of H₂O₂ levels in order to address better the role of ROS in progenitor differentiation.

Finally, previous studies have shown the beneficial role of antioxidant-treatment or overexpression of antioxidant enzymes in protection against diabetes^9,10,11. Moreover, the transcription factor Nrf2, which is responsible for the regulation of the expression of antioxidant enzymes can protect beta-cells against reactive nitrogen species (RNS), and prevent diabetes development in db/db mice^{38, 39}. In contrast, we provide data showing the under physiological conditions, the beta-cell-specific reduction of ROS levels via catalase expression leads to negative effects, as it impairs beta-cell mass expansion. Hence, the proposed beneficial role of antioxidant therapy in diabetes should be revisited, as in the longer term, it might compromise the beta-cells, since ROS clearly play a physiological role in these cells.

Materials and Methods

Zebrafish lines

Wild-type or transgenic zebrafish of the outbred AB, WIK or a hybrid WIK/AB strain were used in all experiments. Zebrafish were raised under standard conditions at 28 °C. Published transgenic strains used in this study were:

Tg(ins:mAGFP-gmnn,cryaa:mCherry)⁹⁴⁷ ¹⁹; Tg(ins:FLAG-NTR,cryaa:mCherry)^s950 ⁴⁰; Tg(EPV. Tp1-Mmu. Hbb:hist2h2l-mCherry)^s939 ²⁶; TgBAC(neurod1:EGFP)⁴¹; Tg(ins:CFP-NTR)^s892 ²⁸; Tg(ins;Hsa.HIST1H2BJ-GFP;ins:DsRed)^s960 ¹⁶ and Tg(mnx1:GFP)⁴². Experiments were conducted in accordance with the Animal Welfare Act and with permissions approved by Landesdirektion Sachsen (AZ 24–9168.11-1/2013-14, TV38/2015, T12/2016, T13/2016, Germany).

Generation of Tg(ins:catalase;ins:H2BmCherry)

The cDNA encoding the zebrafish catalase gene was PCR-amplified and cloned downstream of the insulin promoter. The vector also contains a second insulin promoter driving expression of H2BmCherry as well as YFP, which is expressed under the cryaa promoter for identification of transgenic animals by retinal-expression of YFP. Transgenics were generated using the tol2-system.

Generation of probes for in situ hybridization

Catalase cDNA was PCR amplified using the forward primer 5′-tttt-GAATTC-atggcagacgacagagaaaag-3′ and the reverse primer 5′-ttttTCTAGAtcacatcttagaagctgcagC-3′. The PCR product was sub cloned in PCS2 vector. For antisense probe synthesis, the vector was linearized by digestion with BamHI. DIG RNA labelling mix (Roche) was used to generate DIG-labelled catalase probes by in vitro transcription with the T7 RNA polymerase (Fermentas). RNA probes were purified using the Micro Bio-Spin 30 Columns, Tris, RNase-free (Bio-Rad). cDNA from 24 hpf embryos was PCR amplified using the appropriate primers for the insulin gene insa- fw: 5′atg gca gtg tgg ctt cag gc3′insa-rv: 5′gaa ttc tca gtt aca gta gt 3′. PCR products of the correct size were purified from agarose gels using the QIAquick® Gel Extraction Kit (QIAGEN), and subcloned using the Dual Promoter TA Cloning® kit (Invitrogen). DNA was sequenced to confirm that inserts correspond to the correct gene and to determine orientation of the insert. Approximately 15 μg of plasmid was digested with 5 U of SpeI enzyme over night at 37 °C followed by heat inactivation of the enzyme for 10 min at 65 °C. The digested plasmid was then gel-purified. For the in vitro transcription reaction, approximately 3 μg of linearized DNA, 2 μl of fluorescein labeled DNTP’s (Roche), 4 μl 5× transcription buffer (Fermentas), 1 μl RibolockTM RNase Inhibitor (Fermentas) and 2 μl of T7 RNA polymerase (Fermentas) were mixed and filled up to 20 μl with DEPCddH2O. The reaction mixture was incubated at 37 °C for 3 hours followed by adding 2 μl DNaseI (Fermentas) and incubation for another 20 min at 37 °C to digest the template DNA. The transcription reaction was terminated by adding 50 mM EDTA(Fermentas). RNA probes were then cleaned up using the Micro Bio-Spin 30 Columns, Tris, RNase-free (Bio-Rad) and filled up with 100 μl Hyb + for storage at −20 °C.

Whole mount in situ hybridization

5 dpf WT and Tg(ins:catalase;ins:H2BmCherry) siblings were fixed in fresh 4% PFA then dehydrated using a methanol gradient. Samples were rehydrated using the reverse order of the methanol gradient and washed three times in 1X DEPC-PBST. Samples were then incubated in proteinase K, which was washed out by 1X DEPC-PBST. Samples were re-fixed in 4% PFA for 20 minutes at RT. PFA was washed out by 1xDEPC-PBST. Samples were incubated in hybridization (Hybe) buffer for 2 hours at 65 °C. Shortly before applying the probes (1 ng/µl), each probe was denatured in Hybe for 10 minutes at 75 °C. Samples were incubated with the DIG-labeled catalase probe and the fluorescein-labeled insulin probe in Hybe solution O.N. at 65 °C. Samples were then washed at 65 °C in: [3xSSC/50% formamide/0.1% Tween-20]; [2xSSC/50% formamide/0.1% Tween-20]; [2xSSC/0.1% Tween-20; 0.2xSSC/0.1% Tween-20], followed by washes with 1xPBST and subsequent washes with maleic buffer at RT. Afterwards, samples were incubated in 2% blocking buffer (Roche) for 2 hours at RT. To detect the DIG-labeled RNA probes, samples were incubated in anti-DIG-AP-fab fragments (Roche) diluted 1:5000 in blocking buffer over night at 4 °C. Samples were rinsed with maleic buffer, 1xPBST and NTMT. For staining the substrates, NBT and BCIP were added to the NTMT buffer. Signal development was monitored every 15 minutes under a stereomicroscope and stopped with 1xPBST washes. To detect the insulin signal, samples were incubated in anti-Fluorescein AP 1:2000 in blocking buffer O/N at 4 degrees. For fluorescein signal detection, samples were incubated in NTMT staining buffer with the substrates INT and BCIP. Signal development was monitored under a stereomicroscope and stopped with washes in 1xPBST.

Immunostaining and imaging

Protocol for whole mount immunostaining was adapted from²⁶. Primary antibodies used were anti-Insulin (Guinea Pig from DAKO 1:200), anti-GFP (Chicken from Abcam 1:1000) and anti-Glucagon (Mouse from Sigma 1:400). Secondary antibodies used were Alexa Fluor antibodies (1:300). Z-Stacks were obtained using a LSM-780 confocal microscope unless otherwise indicated in the text. For imaging of Tg(ins:Hsa.HIST1H2BJ-GFP;ins.dsRED)^s960, images were acquired by setting the gain just below the threshold of signal saturation in both GFP and dsRed channels. For image analysis, the number of green only beta-cells was counted using ZEN blue software. Beta-cells which did not have an overlapping GFP and dsRED signals were counted as GFP-positive but dsRED-negative beta-cells.

TUNEL assay

To detect beta-cell death we used the Click-iT® TUNEL Alexa Fluor 647 kit (Invitrogen: C10247). Larvae were fixed in 4% PFA in PBS for 48 hours at 4 degrees under constant mixing. The larvae were washed in 1XPBS and dissected to remove the skin covering the islet. Dissected larvae were permeabilized by incubation in 1% Triton X-100 in 1X PBS (1%PBST) for 20 minutes (3 times). Next, we prepared the TdT reaction according to kit protocol. 200 µl of TdT reaction mixture were used per 6 larvae. Larvae were incubated in the TdT reaction at 37 °C for one hour. The larvae were washed 2 times each for 2 minutes in 4% BSA in 1%PBST. The Click it reaction was prepared according to Kit protocol and 200 µl of reaction mixture were used per 6 larvae. Larvae were incubated at room temperature and protected from light for 30 minutes. The larvae were washed with 4% BSA in 1%PBST for 5 minutes. Finally, to detect the ins:CFP signal, which is lost following the Click-iT®reaction, we performed antibody staining using anti-GFP antibody as described in the immunostaining and imaging section.

Drug and H₂O₂ treatment

Hydrogen peroxide (H1009, SIGMA) was diluted in E2 or E3 medium to the final concentrations indicated in the text. Treatments were performed as indicated in the text. For beta-cell ablation, larvae were incubated with 10 mM MTZ (Sigma, M1547) dissolved in aquarium water, as described previously²⁸. Following ablation, MTZ was washed away by rinsing the larvae and transferring them to fresh medium.

Analysis of proliferation using EdU

Equal numbers of 21 dpf WT and Tg(ins:catalase;ins:H2BmCherry) siblings were fed with brine shrimp (Artemia). 5 h after feeding, the animals were placed in fish water with 2.5 mM EdU for 16 hours. The animals were euthanized and dissected, EdU detection was performed according to the kit protocol Click-iT® EdU Alexa Fluor® 647 Imaging Kit (C10340 Thermo).

Culture, stimulation and imaging of INS-1 cells

Rat insulinoma INS-1 cells (a gift from Prof. M. Solimena, PLID, Dresden, Germany) were cultured in RPMI 1640 medium (Gibco) supplemented with 20 mM HEPES, 10% heat‐inactivated fetal calf serum, 2 mM L‐glutamine, 100 U/ml penicillin, 100 μg/ml streptomycin, 1 mM sodium pyruvate and 50 μM 2‐mercaptoethanol as described previously¹⁷. For transient transfection, INS-1 cells were electroporated using a Neon Transfection system (Thermofisher) according to the manufactures instructions. 3 days post transfection 15 × 10³ cells were seeded in a 96 well plate. The following day cells were washed, pre-incubated for 1 h in resting buffer (5 mM KCl, 120 mM NaCl, 24 mM NaHCO₃, 1 mM MgCl₂, 2 mM CaCl₂, 1 mg/ml bovine serum albumin, 15 mM HEPES pH 7.4) and imaged on an ImageXpress Micro XLS (Molecular Devices) using a 40x air objective. After 4 minutes cell were stimulated by either 18 mM D-glucose/40 mM KCl or 18 mM L-glucose/40 mM KCl and imaged for 25 min more. Single cells were imaged on a MetaXpress Micro XLS (Molecular Devices) and excited using 500/24 and 438/24 filters using a Spectra X light engine (Lumencor). Ratiometric image analysis was performed according to⁴³ using Fiji. Values were normalized to the ratio at the beginning of the experiment and plotted over time after smoothing (4 neighbors, 6^th order polynomial). The response threshold (responders) was 1.16 reflecting the mean + 2 SD of L-glucose treated cells at t = 12 min.

INS-1 treatment with H₂O₂ and N-acetyl-cysteine

22 × 10³ cells were seeded in 96 well plates the day before the experiment. Cells were either treated once with 1-2 mM N-acetyl cysteine (Sigma) at the beginning of the experiment or every 24 hours with the indicated concentrations of H₂O₂. After five days 10 μg/ml Hoechst 33342 was added to the cells and the total wells were imaged using a 10x air objective on an ImageXpress Micro XLS (Molecular Devices). The nuclei of all cells were segmented and counted using the MetaXpress (Molecular Devices) and data were normalized to the mean of control-treated cells.

Statistical analysis

All results are presented as mean ± standard error of the mean (SEM) unless otherwise indicated. Data were analyzed using Student’s t-test or ANOVA. A P-value of less than 0.05 was considered statistically significant.

References

Eisenbarth, G. S. Type I diabetes mellitus. A chronic autoimmune disease. N Engl J Med 314, 1360–1368, doi:10.1056/NEJM198605223142106 (1986).
Article CAS PubMed Google Scholar
Prentki, M. & Nolan, C. J. Islet beta cell failure in type 2 diabetes. J Clin Invest 116, 1802–1812, doi:10.1172/JCI29103 (2006).
Article CAS PubMed PubMed Central Google Scholar
Robertson, R. P. Chronic oxidative stress as a central mechanism for glucose toxicity in pancreatic islet beta cells in diabetes. J Biol Chem 279, 42351–42354, doi:10.1074/jbc.R400019200 (2004).
Article CAS PubMed Google Scholar
Guo, S. et al. Inactivation of specific beta cell transcription factors in type 2 diabetes. J Clin Invest 123, 3305–3316, doi:10.1172/JCI65390 (2013).
Article CAS PubMed PubMed Central Google Scholar
Pi, J. et al. ROS signaling, oxidative stress and Nrf2 in pancreatic beta-cell function. Toxicol Appl Pharmacol 244, 77–83, doi:10.1016/j.taap.2009.05.025 (2010).
Article CAS PubMed Google Scholar
Lee, Y. E. et al. Chronic resveratrol treatment protects pancreatic islets against oxidative stress in db/db mice. PLoS One 7, e50412, doi:10.1371/journal.pone.0050412 (2012).
Article ADS CAS PubMed PubMed Central Google Scholar
Mizukami, H. et al. Involvement of oxidative stress-induced DNA damage, endoplasmic reticulum stress, and autophagy deficits in the decline of beta-cell mass in Japanese type 2 diabetic patients. Diabetes Care 37, 1966–1974, doi:10.2337/dc13-2018 (2014).
Article CAS PubMed Google Scholar
Sakuraba, H. et al. Reduced beta-cell mass and expression of oxidative stress-related DNA damage in the islet of Japanese Type II diabetic patients. Diabetologia 45, 85–96, doi:10.1007/s001250200009 (2002).
Article CAS PubMed Google Scholar
Harmon, J. S. et al. beta-Cell-specific overexpression of glutathione peroxidase preserves intranuclear MafA and reverses diabetes in db/db mice. Endocrinology 150, 4855–4862, doi:10.1210/en.2009-0708 (2009).
Article CAS PubMed PubMed Central Google Scholar
Kaneto, H. et al. Beneficial effects of antioxidants in diabetes: possible protection of pancreatic beta-cells against glucose toxicity. Diabetes 48, 2398–2406 (1999).
Article CAS PubMed Google Scholar
Xu, B., Moritz, J. T. & Epstein, P. N. Overexpression of catalase provides partial protection to transgenic mouse beta cells. Free Radic Biol Med 27, 830–837 (1999).
Article CAS PubMed Google Scholar
Leloup, C. et al. Mitochondrial reactive oxygen species are obligatory signals for glucose-induced insulin secretion. Diabetes 58, 673–681, doi:10.2337/db07-1056 (2009).
Article CAS PubMed PubMed Central Google Scholar
Pi, J. et al. Reactive oxygen species as a signal in glucose-stimulated insulin secretion. Diabetes 56, 1783–1791, doi:10.2337/db06-1601 (2007).
Article CAS PubMed Google Scholar
Hoarau, E., Chandra, V., Rustin, P., Scharfmann, R. & Duvillie, B. Pro-oxidant/antioxidant balance controls pancreatic beta-cell differentiation through the ERK1/2 pathway. Cell Death Dis 5, e1487, doi:10.1038/cddis.2014.441 (2014).
Article CAS PubMed PubMed Central Google Scholar
Liang, J. et al. NADPH Oxidase-Dependent Reactive Oxygen Species Stimulate beta-Cell Regeneration Through Differentiation of Endocrine Progenitors in Murine Pancreas. Antioxid Redox Signal 24, 419–433, doi:10.1089/ars.2014.6135 (2016).
Article CAS PubMed Google Scholar
Ninov, N. et al. Metabolic regulation of cellular plasticity in the pancreas. Curr Biol 23, 1242–1250, doi:10.1016/j.cub.2013.05.037 (2013).
Article CAS PubMed PubMed Central Google Scholar
Asfari, M. et al. Establishment of 2-mercaptoethanol-dependent differentiated insulin-secreting cell lines. Endocrinology 130, 167–178, doi:10.1210/endo.130.1.1370150 (1992).
Article CAS PubMed Google Scholar
Bilan, D. S. et al. HyPer-3: a genetically encoded H(2)O(2) probe with improved performance for ratiometric and fluorescence lifetime imaging. ACS Chem Biol 8, 535–542, doi:10.1021/cb300625g (2013).
Article CAS PubMed Google Scholar
Tsuji, N. et al. Whole organism high content screening identifies stimulators of pancreatic beta-cell proliferation. PLoS One 9, e104112, doi:10.1371/journal.pone.0104112 (2014).
Article ADS PubMed PubMed Central Google Scholar
Lisse, T. S., King, B. L. & Rieger, S. Comparative transcriptomic profiling of hydrogen peroxide signaling networks in zebrafish and human keratinocytes: Implications toward conservation, migration and wound healing. Sci Rep 6, 20328, doi:10.1038/srep20328 (2016).
Article ADS CAS PubMed PubMed Central Google Scholar
Gauron, C. et al. Hydrogen peroxide (H2O2) controls axon pathfinding during zebrafish development. Dev Biol 414, 133–141, doi:10.1016/j.ydbio.2016.05.004 (2016).
Article CAS PubMed Google Scholar
Sobotta, M. C. et al. Exposing cells to H2O2: a quantitative comparison between continuous low-dose and one-time high-dose treatments. Free Radic Biol Med 60, 325–335, doi:10.1016/j.freeradbiomed.2013.02.017 (2013).
Article CAS PubMed Google Scholar
Arkhipova, V. et al. Characterization and regulation of the hb9/mnx1 beta-cell progenitor specific enhancer in zebrafish. Dev Biol 365, 290–302, doi:10.1016/j.ydbio.2012.03.001 (2012).
Article CAS PubMed PubMed Central Google Scholar
Dalgin, G. et al. Zebrafish mnx1 controls cell fate choice in the developing endocrine pancreas. Development 138, 4597–4608, doi:10.1242/dev.067736 (2011).
Article CAS PubMed PubMed Central Google Scholar
Wang, Y., Rovira, M., Yusuff, S. & Parsons, M. J. Genetic inducible fate mapping in larval zebrafish reveals origins of adult insulin-producing beta-cells. Development 138, 609–617, doi:10.1242/dev.059097 (2011).
Article CAS PubMed PubMed Central Google Scholar
Ninov, N., Borius, M. & Stainier, D. Y. Different levels of Notch signaling regulate quiescence, renewal and differentiation in pancreatic endocrine progenitors. Development 139, 1557–1567, doi:10.1242/dev.076000 (2012).
Article CAS PubMed PubMed Central Google Scholar
Dalgin, G. & Prince, V. E. Differential levels of Neurod establish zebrafish endocrine pancreas cell fates. Dev Biol 402, 81–97, doi:10.1016/j.ydbio.2015.03.007 (2015).
Article CAS PubMed PubMed Central Google Scholar
Curado, S. et al. Conditional targeted cell ablation in zebrafish: a new tool for regeneration studies. Dev Dyn 236, 1025–1035, doi:10.1002/dvdy.21100 (2007).
Article CAS PubMed Google Scholar
Chun, Z. et al. Pseudotemporal Ordering of Single Cells Reveals Metabolic Control of Postnatal Î² Cell Proliferation. Cell Metabolism 25(5), 1160-1175.e11 (2015).
Morimoto, H. et al. ROS are required for mouse spermatogonial stem cell self-renewal. Cell Stem Cell 12, 774–786, doi:10.1016/j.stem.2013.04.001 (2013).
Article CAS PubMed Google Scholar
Paul, M. K. et al. Dynamic changes in intracellular ROS levels regulate airway basal stem cell homeostasis through Nrf2-dependent Notch signaling. Cell Stem Cell 15, 199–214, doi:10.1016/j.stem.2014.05.009 (2014).
Article CAS PubMed PubMed Central Google Scholar
Le Belle, J. E. et al. Proliferative neural stem cells have high endogenous ROS levels that regulate self-renewal and neurogenesis in a PI3K/Akt-dependant manner. Cell Stem Cell 8, 59–71, doi:10.1016/j.stem.2010.11.028 (2011).
Article PubMed PubMed Central Google Scholar
Funato, Y., Michiue, T., Asashima, M. & Miki, H. The thioredoxin-related redox-regulating protein nucleoredoxin inhibits Wnt-beta-catenin signalling through dishevelled. Nat Cell Biol 8, 501–508, doi:10.1038/ncb1405 (2006).
Article CAS PubMed Google Scholar
Bernal-Mizrachi, E. et al. Human beta-cell proliferation and intracellular signaling part 2: still driving in the dark without a road map. Diabetes 63, 819–831, doi:10.2337/db13-1146 (2014).
Article CAS PubMed PubMed Central Google Scholar
Rulifson, I. C. et al. Wnt signaling regulates pancreatic beta cell proliferation. Proc Natl Acad Sci USA 104, 6247–6252, doi:10.1073/pnas.0701509104 (2007).
Article ADS CAS PubMed PubMed Central Google Scholar
Yao, D. D. et al. Geniposide promotes beta-cell regeneration and survival through regulating beta-catenin/TCF7L2 pathway. Cell Death Dis 6, e1746, doi:10.1038/cddis.2015.107 (2015).
Article CAS PubMed PubMed Central Google Scholar
Li, M., Maddison, L. A., Page-McCaw, P. & Chen, W. Overnutrition induces beta-cell differentiation through prolonged activation of beta-cells in zebrafish larvae. Am J Physiol Endocrinol Metab 306, E799–807, doi:10.1152/ajpendo.00686.2013 (2014).
Article CAS PubMed PubMed Central Google Scholar
Uruno, A. et al. The Keap1-Nrf2 system prevents onset of diabetes mellitus. Mol Cell Biol 33, 2996–3010, doi:10.1128/MCB.00225-13 (2013).
Article CAS PubMed PubMed Central Google Scholar
Yagishita, Y. et al. Nrf2 protects pancreatic beta-cells from oxidative and nitrosative stress in diabetic model mice. Diabetes 63, 605–618, doi:10.2337/db13-0909 (2014).
Article CAS PubMed Google Scholar
Andersson, O. et al. Adenosine signaling promotes regeneration of pancreatic beta cells in vivo. Cell Metab 15, 885–894, doi:10.1016/j.cmet.2012.04.018 (2012).
Article CAS PubMed PubMed Central Google Scholar
Obholzer, N. et al. Vesicular glutamate transporter 3 is required for synaptic transmission in zebrafish hair cells. J Neurosci 28, 2110–2118, doi:10.1523/JNEUROSCI.5230-07.2008 (2008).
Article CAS PubMed Google Scholar
Flanagan-Steet, H., Fox, M. A., Meyer, D. & Sanes, J. R. Neuromuscular synapses can form in vivo by incorporation of initially aneural postsynaptic specializations. Development 132, 4471–4481, doi:10.1242/dev.02044 (2005).
Article CAS PubMed Google Scholar
Kardash, E., Bandemer, J. & Raz, E. Imaging protein activity in live embryos using fluorescence resonance energy transfer biosensors. Nat Protoc 6, 1835–1846, doi:10.1038/nprot.2011.395 (2011).
Article CAS PubMed Google Scholar

Download references

Acknowledgements

We thank the light microscopy facility of the BIOTEC/CRTD and the BIOTEC/CRTD fish facility for support. Michell Reimer for Tg(mnx1:GFP). Claes Wollheim for permission to use INS-1 cells. Michele Solimena and the Solimena group for help with INS-1 cells. Luis Delgadillo for cartoons. J.M. is supported by the German Research Foundation (DFG) (Emmy Noether, MA 5831/1-1) and received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant agreement No 680042). D.K is a member of the DIGS-BB PhD program. N.N. is supported by funding from the DFG–Center for Regenerative Therapies Dresden, Cluster of Excellence and the DZD, as well as research grants from the German Research Foundation (DFG), the European Foundation for the Study of Diabetes (EFSD) and the German Center for Diabetes Research (DZD).

Author information

Ezzaldin Ahmed Alfar and Dilyana Kirova contributed equally to this work.

Authors and Affiliations

DFG Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
Ezzaldin Ahmed Alfar, Judith Konantz, Sarah Birke & Nikolay Ninov
Paul Langerhans Institute Dresden of the Helmholtz Zentrum München at the University Hospital and Faculty of Medicine Carl Gustav Carus of Technische Universität Dresden, Dresden, Germany
Ezzaldin Ahmed Alfar & Nikolay Ninov
German Center for Diabetes Research (DZD e.V.), Neuherberg, Neuherberg, Germany
Ezzaldin Ahmed Alfar & Nikolay Ninov
Department of Pharmacology and Toxicology, Technische Universität Dresden, Dresden, Germany
Ezzaldin Ahmed Alfar
Cell Cycle, Biotechnology Center, Technische Universität Dresden, 01307, Dresden, Germany
Dilyana Kirova & Jörg Mansfeld

Authors

Ezzaldin Ahmed Alfar
View author publications
You can also search for this author in PubMed Google Scholar
Dilyana Kirova
View author publications
You can also search for this author in PubMed Google Scholar
Judith Konantz
View author publications
You can also search for this author in PubMed Google Scholar
Sarah Birke
View author publications
You can also search for this author in PubMed Google Scholar
Jörg Mansfeld
View author publications
You can also search for this author in PubMed Google Scholar
Nikolay Ninov
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization, N.N. and J.M.; Methodology, E.A.A., D.K., J.K. and SB; Investigation, E.A.A. and D.K.; Writing—Original Draft, N.N., J.M., E.A.A. and D.K.; Funding Acquisition, N.N. and J.M.; Supervision, N.N. and J.M.

Corresponding authors

Correspondence to Jörg Mansfeld or Nikolay Ninov.

Ethics declarations

Competing Interests

The authors declare that they have no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Ahmed Alfar, E., Kirova, D., Konantz, J. et al. Distinct Levels of Reactive Oxygen Species Coordinate Metabolic Activity with Beta-cell Mass Plasticity. Sci Rep 7, 3994 (2017). https://doi.org/10.1038/s41598-017-03873-9

Download citation

Received: 09 December 2016
Accepted: 08 May 2017
Published: 26 June 2017
DOI: https://doi.org/10.1038/s41598-017-03873-9

This article is cited by

NRF2 is required for neonatal mouse beta cell growth by maintaining redox balance and promoting mitochondrial biogenesis and function
- Sharon Baumel-Alterzon
- Liora S. Katz
- Donald K. Scott
Diabetologia (2024)
Mitochondrial hydrogen peroxide positively regulates neuropeptide secretion during diet-induced activation of the oxidative stress response
- Qi Jia
- Derek Sieburth
Nature Communications (2021)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.