Skip to main content
Molecular Metabolism logoLink to Molecular Metabolism
. 2019 Feb 8;22:71–83. doi: 10.1016/j.molmet.2019.02.001

Functional peroxisomes are required for β-cell integrity in mice

Ritesh Kumar Baboota 1,5, Abhijit Babaji Shinde 1,5, Katleen Lemaire 2, Marc Fransen 3, Stefan Vinckier 4, Paul P Van Veldhoven 3, Frans Schuit 2, Myriam Baes 1,
PMCID: PMC6437690  PMID: 30795913

Abstract

Objectives

Peroxisomes play a crucial role in lipid and reactive oxygen species metabolism, but their importance for pancreatic β-cell functioning is presently unknown. To examine the contribution of peroxisomal metabolism to β-cell homeostasis in mice, we inactivated PEX5, the import receptor for peroxisomal matrix proteins, in an inducible and β-cell restricted manner (Rip-Pex5−/− mice).

Methods

After tamoxifen-induced recombination of the Pex5 gene at the age of 6 weeks, mice were fed either normal chow or a high-fat diet for 12 weeks and were subsequently phenotyped.

Results

Increased levels of very long chain fatty acids and reduced levels of plasmalogens in islets confirmed impairment of peroxisomal fatty acid oxidation and ether lipid synthesis, respectively. The Rip-Pex5−/− mice fed on either diet exhibited glucose intolerance associated with impaired insulin secretion. Ultrastructural and biochemical analysis revealed a decrease in the density of mature insulin granules and total pancreatic insulin content, which was further accompanied by mitochondrial disruptions, reduced complex I activity and massive vacuole overload in β-cells. RNAseq analysis suggested that cell death pathways were affected in islets from HFD-fed Rip-Pex5−/− mice. Consistent with this change we observed increased β-cell apoptosis in islets and a decrease in β-cell mass.

Conclusions

Our data indicate that normal peroxisome metabolism in β-cells is crucial to preserve their structure and function.

Keywords: Apoptosis, β-cell, Diabetes, High-fat diet, Islet, Peroxisome

Abbreviations: Ctrl, control; DEGs, differentially expressed genes; GSEA, gene set enrichment analysis; GSIS, glucose-stimulated insulin secretion; HFD, high-fat diet; IPGTT, intraperitoneal glucose tolerance test; IPITT, intraperitoneal insulin tolerance test; KEGG, Kyoto encyclopedia of genes and genomes; LPC, lysophoshatidylcholine; PCA, principal component analysis; ROS, reactive oxygen species; TEM, transmission electron microscopy

Graphical abstract

Image 1

Highlights

  • Pex5 deletion in β-cells impairs glucose tolerance and reduces β-cell mass.

  • Pex5-deficient β-cells display increased apoptosis.

  • Peroxisomal loss causes mitochondrial deterioration and cytoplasmic vacuolization.

1. Introduction

Peroxisomes are still enigmatic organelles six decades after their discovery [1]. The foremost metabolic functions of peroxisomes include α- and β-oxidation of fatty acids, synthesis of ether phospholipids, bile acids, and polyunsaturated fatty acids, and detoxification of oxygen radicals and glyoxylate [2]. More recently, it was discovered that peroxisomes also serve as a platform in antiviral signaling [3], and it is becoming clear that they have multiple interactions with other cellular organelles [4], [5], [6].

Whereas the role of peroxisomes has been intensively studied in tissues like liver and brain, their importance for pancreatic β-cell function remains largely unexplored. Intriguingly, pancreatic β-cells are almost devoid of catalase, a key peroxisomal antioxidant marker enzyme [7], due to islet-selective repression of the catalase gene [8]. Catalase belongs to a small group of ‘forbidden’ genes, that are thought to be suppressed in order to allow specific β-cell function [9], [10]. However, individual overexpression of the ‘disallowed’ anti-oxidant enzymes, including catalase, in the cytosol or mitochondria did not impair responsiveness of insulin-secreting cells to glucose, leaving the functional importance of the suppression unresolved [11]. It was further reported that the frequency of diabetes is higher in catalase-deficient patients [12].

It is widely accepted that, in addition to oxidative stress, β-cells are susceptible to glucolipotoxicity [13]. Besides other mechanisms that were proposed, Lenzen and coworkers showed that H2O2 produced during peroxisomal β-oxidation is the mediator of fatty acid-induced toxicity in β-cells [14]. Treatment of RINm5F rat insulinoma cells and primary rat islets with various saturated fatty acids induced peroxisomal H2O2 production, as detected by peroxisome-targeted HyPer, a genetically encoded H2O2 sensor. Furthermore, the palmitate-induced cytotoxicity in RINm5F cells was rescued by overexpression of catalase in peroxisomes or in the cytosol, but not in mitochondria [14].

A different perspective on the potential role of peroxisomal β-oxidation in β-cells was provided by a study from Hellemans et al. [15]. These authors showed that palmitate-induced β-cell toxicity was attenuated by the induction of both peroxisomal and mitochondrial β-oxidation using PPARα and retinoid X receptor agonists [15]. This points to a protective role of peroxisomal β-oxidation in insulin-producing cells.

Together, these studies indicate that there are still uncertainties and different opinions about the potential role of peroxisomal metabolism in β-cell functioning. In the present study, we first assessed the abundance of peroxisomes in the endocrine pancreas. Subsequently, we used an in vivo loss-of-function approach to investigate the role of peroxisomes in pancreatic β-cells. Hereto, the import receptor PEX5, necessary for import of nearly all peroxisomal enzymes into the organelle, was targeted in a β-cell-restricted and inducible manner in adult mice resulting in functional peroxisome deficiency in β-cells.

2. Methods

2.1. Generation of Rip-Pex5−/− mice

β-cell selective Rip-Pex5−/− mice were generated by mating Pex5FL/FL mice with tamoxifen-inducible Tg (Ins2-cre/ERT)1Dam mice commonly known as Rip(rat insulin promotor)-Cre/ER mice [16] in a C57Bl6 background to obtain Rip-Cre+Pex5FL/WT, which were then crossed with Pex5FL/FL mice to obtain Rip-Cre+Pex5FL/FL knockout mice (denoted as Rip-Pex5−/−). Littermates carrying Pex5FL/FL without CRE expression were used as controls. Since Rip-Cre transgenic mice have been suggested to show glucose intolerance [17], Rip-Cre+Pex5WT/WT and Rip-Cre+Pex5FL/WT mice were also used as control for glucose intolerance experiments. Recombination was induced by intraperitoneal administration of 5 doses of 4 mg tamoxifen dissolved in corn oil on alternate days starting at the age of 6 weeks. Only male Rip-Pex5−/− mice were used for phenotypic analysis. Tamoxifen was also administered to littermate Pex5FL/FL mice which were used as controls. Subsequently, Rip-Pex5−/− mice and littermate controls were housed in groups of 3–5 and were fed either a normal chow or a HFD containing 45% kcal fat (D12451, Research Diets, NJ, USA) ad libitum; starting at the age of 8 weeks. All mice were bred in the conventional animal housing facility of the KU Leuven, had ad libitum access to water and were kept on a 12 h light and dark cycle. All animal experiments were performed in accordance with the "Guidelines for Care and Use of Experimental Animals" and fully approved by the Research Ethical Committee of the KU Leuven. No randomization was carried out and experimenters were not blinded to group assignment and outcome assessment.

2.2. Intraperitoneal glucose and insulin tolerance tests

Intraperitoneal glucose tolerance tests (IPGTT) and intraperitoneal insulin tolerance tests (IPITT) were performed in 20-week-old control and Rip-Pex5−/− mice either fed normal chow or a HFD diet for a period of 12 weeks. Mice were fasted either overnight for IPGTT or for 4–6 h for IPITT. Blood glucose levels and body weight were monitored after fasting and then mice were given an intraperitoneal injection of either 2 g D-glucose (IPGTT) or 0.75 U insulin (IPITT) per kg body weight. Blood glucose levels were measured at 6, 12, 30, 60, 120, 150, and 180 min for IPGTT and at 5, 10, 20, 30, 60, 90, and 120 min for IPITT following administration of glucose and insulin, respectively, with an Accu-Check® Aviva glucometer (Roche, Vilvoorde, Belgium). To quantify insulin, approximately 50 μl of blood was collected from each mouse before and after 6 and 12 min of glucose injection from the lateral tail vein, followed by separation of plasma and measured using the Crystal Chem ultra-sensitive mouse ELISA kit (Downers Grove, IL, U.S.A.) according to the manufacturer's protocol (but 10 μl instead of 5 μl plasma was used).

2.3. Ex vivo insulin release

Islets were isolated using the collagenase perfusion method and glucose-stimulated insulin secretion (GSIS) was performed as described [18], [19] with minor modifications. Briefly, isolated islets were allowed to recover for 3 h in RPMI1640 medium (Gibco, Invitrogen, UK) containing 10% fetal bovine serum and 100-U/mL penicillin-streptomycin at 37 °C under a humidified atmosphere of 5% CO2 and 98% air. For insulin secretion studies, a batch of 50 size-matched islets was pre-incubated in HEPES Krebs buffer (KRBB) solution containing 5 mM glucose and 0.5% BSA for 30 min. Subsequently, islets were incubated consecutively in KRBB with 5 mM glucose for 1 h and in KRBB with 20 mM glucose for 1 h. All steps were performed at 37 °C in a tissue culture incubator. The supernatants were collected to measure insulin release and islets were then sonicated for 3 min in acidic ethanol (final concentrations: 75% EtOH, 0.1 N HCl, 1% Triton) for determining total insulin content. Samples were stored at −20 °C until further use. Insulin concentrations of these samples were determined using an ultrasensitive mouse insulin ELISA kit (Mercodia, Uppsala, Sweden) according to the manufacturer's protocol. The stimulation index is represented as the ratio of insulin secreted in response to high glucose versus insulin secreted under low glucose conditions [20].

2.4. Total pancreatic insulin content

Pancreata were dissected, and their weights were recorded. They were put into 5 ml cold (−20 °C) acidic ethanol (75% ethanol, 0.1 N HCl). After sonication (Soniprep 150, MSE, London, UK) for 2 min on ice, the homogenates were stored at −20 °C overnight. The next day the homogenates were spun at 3000 rpm for 10 min and the supernatants were collected for analysis of insulin content using the Crystal Chem ultra-sensitive mouse ELISA kit (Downers Grove, IL, U.S.A.) according to the manufacturer's protocol.

2.5. Immunohistochemical staining and morphometric analysis

Mice were anesthetized with a mix of Dormitor (1 mg/kg) and Nimatek (75 mg/kg) and subsequently perfused transcardially with PBS (pH 7.4) followed by 4% paraformaldehyde (PFA). Pancreata were isolated, post-fixed with 4% PFA overnight, and kept in 70% ethanol prior to paraffin embedding and sectioning (7 μm). The paraffin sections were deparaffinized and rehydrated using routine protocols. Sections were then treated with citrate buffer in a microwave oven to expose the antigenic sites. Blocking was done using 2% (v/v) normal goat serum in blocking buffer (0.1 M Tris-HCl pH 7.5, 0.15M NaCl, 0.5% (w/v) blocking reagent (Perkin Elmer, Waltham, USA) for 1h at room temperature to block non-specific binding sites followed by overnight incubation at 4 °C with primary antibodies (Table 1). For insulin single staining, sections were incubated overnight at 4 °C with the primary antibody followed by 1 h incubation with anti-mouse IgG HRP (Agilent, Burlingame, CA, USA). The TSA Cyanine 3 system (Perkin Elmer) was used for detection and nuclei were visualized with DAPI included in the mounting medium (Agilent). For double immunolabeling, the staining, which was detected with anti-rabbit IgG HRP (Agilent) and the TSA-Plus Fluorescein System (Perkin Elmer), was done first. To examine apoptotic cells, terminal deoxynucleotidyltransferase-mediated dUTP nick end labeling (Roche Applied Science, Indianapolis, IN, USA) was performed according to the manufacturer's protocol. These stainings were followed by insulin staining as described above.

Table 1.

Primary antibodies used for immunohistochemistry.

Antibody Dilution Manufacturer Reference/catalog no. Characteristics
Rabbit PEX14 1:200 [21] Polyclonal
Rabbit ACAA1 1:100 [22] Polyclonal
Rabbit Ki67 1:500 Thermo Scientific PA5-19462 Polyclonal
Rabbit 4-HNE 1:200 Calbiochem 393207 Polyclonal
Rabbit LAMP2 1:200 GeneTex GTX63319 Monoclonal
Mouse Insulin 1:2500 Abcam Ab6995 Monoclonal
Anti-mouse IgG HRP 1:200 Agilent P0447 Secondary antibody
Anti-rabbit IgG HRP 1:200 Agilent P0448 Secondary antibody

For morphometric analysis, six sections separated by 200 μm were taken throughout the length of the pancreas and stained for insulin. Quantification of β-cell mass and islet size was done as described [23]. To quantify β-cell proliferation and apoptotic cell death, images of insulin-positive cells (20–25 islets per mouse; n = 5 per genotype) that stained with either Ki67 or TUNEL were captured and the percentage of proliferating or apoptotic cells was determined by counting the Ki67/TUNEL-positive nuclei among 150–300 β-cells per islet. Images for PEX14/ACAA1-stained sections were acquired using a Zeiss LSM 780 confocal microscope (Carl Zeiss, Munich, Germany), whereas other stainings were quantitatively assessed using a motorized inverted IX-81 microscope connected to a CCD-FV2T digital camera (Olympus, Aartselaar, Belgium).

2.6. Electron microscopy

The ultrastructure of pancreatic β-cells was examined using JEM1400 (JEOL) transmission electron microscopy (TEM). Briefly, mice were perfused with and subsequently, pancreas fragments were immersed in 2.5% glutaraldehyde buffered with 0.05 M Na-cacodylate buffer (pH 7.3) for 24 h. Prior to embedding in Agar 100 resin, samples were post-fixed in 2% osmium tetroxide (buffered with 0.05 M sodium cacodylate, pH 7.3) and dehydrated using acetone. After dehydration, ultrathin sections were prepared using a Reichert Jung Ultracut E microtome and stained with 0.1% thionin – 0.1% methylene blue. Ultrathin (±70 nm) sections were mounted on copper grids and stained with uranyl acetate and lead citrate before imaging. To quantify the number of altered mitochondria according to criteria described previously [24], the data obtained from a minimum of 35 independent β-cells from 3 to 4 mice per genotype was averaged. Similarly, 38 independent β-cells from 4 Rip-Pex5−/− mice were visualized to quantify the β-cells having vacuoles and subsequently, the number of vacuoles in those β-cells were counted and averaged.

2.7. Complex 1 enzyme activity measurement

Isolated islets were homogenized in extraction buffer and lysates (corresponding to 20 μg of proteins) were used to determine the complex I activity using the complex I enzyme activity dipstick assay kit (Abcam, Cambridge, UK) according to the manufacturer's protocol. Measurement of the protein concentration in cell lysates was performed using the Pierce BCA protein kit (Thermo Scientific, Rockford, IL, USA). Signals on the dipsticks were visualized using the ChemiDoc MP system (Bio-Rad; California, USA) and signal intensities were quantified with Image Lab software (Bio-Rad; California, USA).

2.8. Biochemical analyses

For C26:0-lysophosphatidylcholine (LPC) analysis, 150–300 islets were suspended in 400 μl PBS and homogenized by sonication. Fifty μl of each sample was set aside for protein determination, the rest was processed as described [25].

For plasmalogen analysis, 120–300 islets were extracted as described [26], and lipid extracts were analyzed for phospholipids [26] and plasmalogens. For the latter, acid-released aldehydes were derivatized into fluorescent decahydroacridine derivatives (adapted from [27]), which were separated by RP-HPLC (Waters Symmetry C18, 5 μm, 100 Å, 4.6 × 150 mm column) and monitored by fluorescence (Waters 2475 Multi-wavelength Fluodetector; ex 390 nm/em 460 nm) (Van Veldhoven P.P., unpublished data). Values were normalized to the phospholipid content of the extracts.

For western blotting, 150–200 islets were washed with ice-cold PBS and then lysed with buffer containing 50 mM Tris (pH 8), 150 mM NaCl, 1% NP40, and 1 mM EDTA. PEX5 [28] and ACAA1 [22] were detected using polyclonal rabbit antibodies in combination with HRP-labeled secondary antibodies and the ECL plus detection kit (GE Healthcare, Buckinghamshire, UK).

2.9. RNA sequencing and bioinformatics analysis

RNA was extracted from freshly isolated islets of HFD-fed control and Rip-Pex5−/− mice using the PureLink® RNA Mini Kit (ThermoFisher Scientific, Waltham, MA) following the manufacturer's protocol. RNA integrity was verified on the Agilent Bioanalyser (Agilent, Santa Clara, CA, USA) with the RNA nanochip. The RNA-seq libraries were prepared using the Illumina TruSeq RNA sample preparation kit following the manufacturer's instructions. After library construction, all libraries were quantified, pooled and sequenced on an Illumina NextSeq 500 platform using a 50 bp single-end protocol. After alignment of the sequencing reads to the mouse genome, quantification of transcript abundances was performed using the Kallisto software [29]. We performed a trimmed mean of M-values (TMM)-normalization using the R-package EdgeR [30] and normalization using Limma before down-stream differential analysis. Gene set enrichment analysis (GSEA) against the KEGG database was used to analyze pathway enrichment.

2.10. Statistical analyses

Statistical analyses were done using GraphPad Prism 5.01 software. Depending on the experimental design, statistical significance was determined by performing either unpaired t-test or one-way ANOVA followed by the Bonferroni test. Data are expressed as mean ± SEM. P < 0.05 was considered statistically significant.

3. Results

3.1. Peroxisomes are abundant in the endocrine pancreas

Because of the low expression of catalase, the traditional peroxisomal marker enzyme, in pancreatic β-cells [7], we visualized peroxisomes in mouse whole pancreas sections by immunohistochemical staining using antibodies to PEX14, an essential peroxisomal membrane protein. Co-staining with insulin revealed that PEX14 immunoreactivity was markedly higher in the endocrine than in the exocrine pancreas (Figure 1A), pointing to an important function of peroxisomes in islets. Likewise, the peroxisomal β-oxidation enzyme ACAA1 was more abundantly expressed in islets, including β-cells, as compared to the surrounding cells (Figure 1A), which is indicative of an active peroxisomal β-oxidation pathway in insulin-producing cells. This observation raised our interest to understand how peroxisomes contribute to the functioning of β-cells.

Figure 1.

Figure 1

Peroxisome abundance in endocrine pancreas and validation of Pex5 inactivation in islets of Rip-Pex5−/−mice. (A) PEX14 and ACAA1 staining (green) reveals the typical punctate appearance of peroxisomes that is more abundant in endocrine (colocalization with insulin, red) than in exocrine pancreas. Scale bars, 20 μm. (B) Western blot analysis of PEX5 and ACAA1 protein in islets of control and Rip-Pex5−/− mice. ACAA1 occurs in the processed 41 kDa form in control mice, but primarily as the unprocessed 44 kDa form in Rip-Pex5−/− mice. (C) C26:0 LPC levels (n = 5 per genotype) and (D) plasmalogen levels (n = 4 per genotype) in islets of control and Rip-Pex5−/− mice. Data are expressed as mean ± SEM. p < 0.05: *; Rip-Pex5−/− versus respective control mice.

3.2. Generation and validation of Rip-Pex5−/− mice

We generated a tamoxifen-inducible β-cell-specific Pex5 knockout mouse model using Rat insulin promotor (Rip)-Cre/ER mice [16]. The efficiency of Pex5 deletion in pancreatic islets isolated from control and Rip-Pex5−/− mice was studied two weeks after tamoxifen induction by immunoblotting. PEX5 immunoreactivity was strongly reduced in islets of Rip-Pex5−/− as compared to control mice (Figure 1B). This resulted in impaired PEX5 function as evidenced by the presence of the 44 kDa precursor of ACAA1, whereas control islets contained the mature 41 kDa protein, which is known to be generated after import into peroxisomes (Figure 1B). The residual PEX5 immunoreactivity and peroxisomal import activity in Rip-Pex5−/− islets can be attributed to unaffected PEX5 in non-β-cells of the islets, although incomplete inactivation of PEX5 in β-cells cannot be excluded. We subsequently examined whether the loss of functional peroxisomes had an impact on peroxisomal metabolites in isolated islets. Levels of C26:0-LPC, a sensitive marker for impaired peroxisomal β-oxidation [31], [32], were 5-fold increased (Figure 1C), and plasmalogen levels were reduced by ∼35%, pointing to decreased ether lipid synthesis activity (Figure 1D). Together, these data indicate that inactivation of the Pex5 gene in β-cells of Rip-Pex5−/− mice was successful.

3.3. Glucose tolerance and insulin secretion is impaired in Rip-Pex5−/− mice

We then assessed the consequences of peroxisome inactivation on β-cell functioning in mice either fed normal chow or a HFD diet for a period of 12 weeks, starting one week after the last tamoxifen injection. Body weights of Rip-Pex5−/− mice were not significantly different from control mice on either diet (Figure 2A and D). However, the blood glucose levels were significantly elevated in Rip-Pex5−/− mice on either diet, in the fed (Figure 2B and E) as well as in the fasted state (Figure 2C and F), indicative of impaired glucose homeostasis. To further assess glucose tolerance, an IPGTT was performed. As expected, HFD feeding induced metabolic stress in both genotypes as evident from an increased AUC (Figure 2H) as compared to the respective genotype on chow diet (Figure 2G). Glucose tolerance was significantly impaired in Rip-Pex5−/− mice on both diets, with a significant increase in AUC as compared to their respective controls (Figure 2G, H).

Figure 2.

Figure 2

Pex5 ablation in β-cells causes impaired glucose homeostasis in mice. (A, D) Body weights, (B, E) fed state blood glucose levels, and (C, F) fasting blood glucose levels of tamoxifen-treated control and Rip-Pex5−/− mice supplemented with either normal chow or HFD for 12 weeks (n = 13–16 per group). (G, H) Blood glucose and AUC measurements of IPGTT performed in control and Rip-Pex5−/− mice supplemented with either normal chow or HFD for 12 weeks (n = 13–16 per group). Data are expressed as mean ± SEM. p < 0.01: **; p < 0.001: *** Rip-Pex5−/− versus respective control mice. p < 0.001: HFD-fed control and Rip-Pex5−/− mice versus chow-fed control and Rip-Pex5−/− mice, respectively.

It was previously shown that several pancreas-specific Cre driver lines exhibit islet dysfunction and impaired insulin secretion, even in the absence of genes targeted by loxP sites [17], [23]. To exclude that the tamoxifen-inducible CRE/ER fusion protein is the source of the glucose intolerance in Rip-Pex5−/− mice, we tested Tg (Ins2-cre/ERT)1Dam mice in the same study protocol of tamoxifen injection, followed by 12 weeks on HFD. No abnormalities in fasted or fed blood glucose levels, nor in IPGTT, were observed in Rip-Cre+Pex5WT/WT and Rip-Cre+PexWT/FL versus Pex5WT/WT, Pex5FL/FL, and Pex5WT/FL mice (Supplementary Figure 1; data not shown). This excluded the role of the CRE/ER fusion protein in the observed phenotype, and therefore, Rip-Pex5−/− mice were compared with Pex5FL/FL mice in all subsequent studies.

Next, we assessed whether the impaired glucose homeostasis in Rip-Pex5−/− mice was related to abnormal plasma insulin levels in the samples collected just before starting the IPGTT as well as after 6 and 12 min of glucose injection. Control mice on either diet responded physiologically with higher circulating insulin, whereas Rip-Pex5−/− mice were unable to do so although a significant difference with controls was observed only upon high-fat feeding (Figure 3A, B). Although it is most likely that impaired glucose homeostasis in Rip-Pex5−/− mice solely originates from changes in the pancreatic β-cells, we investigated peripheral insulin signaling by performing an IPITT. No significant differences were observed in the AUC of blood glucose levels in Rip-Pex5−/− mice as compared to control mice fed either chow or HFD (Supplementary Figure 2).

Figure 3.

Figure 3

Glucose-stimulated insulin secretion is impaired in Rip-Pex5−/−mice. (A, B) Plasma insulin levels in response to a glucose bolus in control and Rip-Pex5−/− mice supplemented with either chow (n = 4) or HFD (n = 5). (C, D) Insulin secretion in response to glucose was measured ex vivo using islets from control and Rip-Pex5−/− mice supplemented with either normal chow or HFD for 12 weeks (n = 4–5 per group; 50 islets per mouse). Data are presented both as % insulin released from total content and as stimulation index. (E) Pancreatic insulin content measurements in both chow and HFD-fed control and Rip-Pex5−/− mice (n = 5). (F) β-cell mass of chow and HFD-fed control and Rip-Pex5−/− mice (n = 4 per group). (G) Pancreatic islet size measurements of HFD-fed control and Rip-Pex5−/− mice (n = 9 per group; 15–25 islets per mouse). All values are expressed as mean ± SEM. p < 0.05: ; p < 0.001: ††† HFD-fed control versus chow-fed controls. p < 0.05: *; p < 0.01: **; p < 0.001: *** Rip-Pex5−/− versus respective control mice.

3.4. Glucose-stimulated insulin secretion and β-cell expansion is impaired in HFD-fed Rip-Pex5−/− mice

The defect in insulin secretion upon glucose stimulation in Rip-Pex5−/− mice could be due to reduced insulin content in the pancreas, reduced GSIS or a combination of both. In order to investigate the insulin secretion capacity in response to high glucose levels, ex vivo GSIS was performed in islets isolated from control and Rip-Pex5−/− mice fed either normal chow or HFD. A high-glucose challenge induced insulin secretion in both control and Rip-Pex5−/− mice. However, the insulin secretion (or stimulation index) upon glucose challenge was significantly reduced in Rip-Pex5−/− mice in both dietary conditions (Figure 3C, D). Furthermore, the total pancreatic insulin content was measured using ELISA. Rip-Pex5−/− mice contained significantly lower levels of total pancreatic insulin compared to controls on both diets (Figure 3E). To further assess whether the reduced pancreatic insulin content is accompanied by a reduction in total β-cell mass, morphometry analysis was performed on sections throughout the pancreas of control and Rip-Pex5−/− mice stained with insulin antibodies. The analyses revealed no difference in β-cell mass between chow-fed Rip-Pex5−/− and control mice. In line with previous findings [33], the β-cell mass of control mice significantly increased following the metabolic stress induced by the HFD. However, Rip-Pex5−/− mice fed HFD failed to show such compensatory increase in β-cell mass (Figure 3F). Moreover, the islets from HFD-fed Rip-Pex5−/− mice exhibited smaller size as compared to HFD-fed control mice, as determined by mean area quantification on insulin-stained sections (Figure 3G). Taken together, these observations suggest that β-cells of Rip-Pex5−/− mice failed to respond to elevated glucose levels and were unable to respond to HFD-induced metabolic stress by increasing β-cell mass.

3.5. Pex5−/− β-cells show impaired survival

Subsequently, we investigated whether changes at the transcriptome level could unveil cellular deregulations underlying the observed anomalies of in vivo insulin content and secretion by performing RNAseq analysis on isolated islets from HFD-fed mice. The 3-dimensional distribution profile obtained by principal component analysis (PCA) of the variance for each gene revealed that Rip-Pex5−/− islets grouped separately from control islets, indicating differences in the molecular profile of these knockout β-cells (Figure 4A). A volcano plot of the combined expression data of all transcripts grouped by fold change difference and P values (Figure 4B) confirmed the results of the PCA analysis. Using a fold change cutoff of 2 and an adjusted p-value cutoff of 0.05, 497 genes (325 up-regulated and 172 down-regulated) were differentially expressed in Rip-Pex5−/− mice. In the entire set of differentially expressed genes (DEGs), many B-cell specific genes were represented such as immunoglobulin heavy and kappa variable fragments, and these were considered irrelevant. However, we identified a limited number of genes that are of interest (Figure 4C). The dramatic upregulation of the Esr1 gene was likely due to the presence of the estrogen receptor in the transgenic Cre/ER construct. Interestingly, Pex5 deletion from pancreatic β-cells caused the up-regulation of genes such as Cdkn1a [34], Pmaip11 [35], Pidd1 [36], Txnip [37], Pitgs [38], and Thbs2 [39], which play a critical role in promoting apoptosis or β-cell dysfunction. However, the expression levels of Sfrp1 [40] and Alox5 [41], which have been reported to exert an anti-apoptotic effect and promoting insulin secretion in β-cells, respectively, were also enhanced in islets of Rip-Pex5−/− mice. This may be considered as a compensatory mechanism activated in response to enhanced apoptosis and reduced insulin secretion. In comparison to controls, the mRNA expression levels of Tnfsf10 and Foxm1, two proteins that respectively increase β-cell survival [42] and maintain normal β-cell mass [43], were significantly down-regulated in Rip-Pex5−/− mice. Vnn1, an enzyme important in maintaining islet cell homeostasis [44], was also significantly down-regulated in Rip-Pex5−/− mice as compared to controls (Figure 4C). Together these results suggest that loss of functional peroxisomes impacts on β-cell survival. In addition, a significant increase in mRNA levels of voltage-dependent potassium channels and chemokines was observed (Supplementary Figure 3). Because pathway analysis can reveal more marginal expression changes of the constituent genes, we applied GSEA using the KEGG database. Enrichment analysis of DEGs in the functional class of cellular processes revealed that genes were primarily enriched in “phagosome”, “p53 signaling” and ‘lysosome’ pathways (Figure 4D). To validate the gene expression data, we first performed immunofluorescence staining of pancreatic sections to evaluate the extent of proliferation and apoptosis of β-cells in Rip-Pex5−/− mice. Double stainings of insulin were performed with either the proliferation marker Ki-67 or with the TUNEL assay to assess β-cell apoptosis. As shown in Figure 5A, the percentage of TUNEL-positive β-cells was significantly increased in Rip-Pex5−/− mice as compared to control mice. In contrast, no significant differences were observed in the number of proliferating β-cells between the groups (Figure 5B). To exclude the possibility that the observed increase in apoptosis is merely caused by hyperglycemia, the TUNEL assay was performed at an earlier age, 2 weeks after the last tamoxifen injection. These Rip-Pex5−/− mice also exhibited increased β-cell apoptosis in comparison to control mice (Supplementary Figure 5). Thus, the changes in β-cells antedate the onset of hyperglycemia and are likely a cause, rather than a consequence of it.

Figure 4.

Figure 4

PEX5 ablation in β-cells affects the expression of genes associated with apoptosis. RNA-seq was performed on islets of HFD-fed Rip-Pex5−/− (n = 3) and control mice (n = 4). (A) Principal component analysis and (B) Volcano plot representing the RNA-seq expression data from all biological replicates of Rip-Pex5−/− and control mice. In the Volcano plot, blue and red indicate, respectively, the up- and down-regulated genes in Rip-Pex5−/− mice compared with control mice. (C) Heat map of differentially expressed genes (fold change > 2; p-value> 0.05) in β-cells of Rip-Pex5−/− mice as compared to control β-cells. Lower and higher levels of expression are presented in shades of blue and orange, respectively. (D) GSEA against the KEGG database showing enriched signaling pathways in β-cells of Rip-Pex5−/− mice.

Figure 5.

Figure 5

Assessment of β-cell apoptosis and proliferation in β-cells of Rip-Pex5−/−mice. Representative images for (A) TUNEL/insulin (white arrow) and (C) Ki67/insulin (yellow arrow) double staining of pancreatic sections from Rip-Pex5−/− and control mice. Scale bars, 50 μm. (B, D) Quantification of β-cell apoptosis frequency (% of β-cells analyzed) and β-cell proliferation frequency (% of β-cells analyzed) (n = 5 per genotype; 20–25 islets per mouse). Data are expressed as mean ± SEM. p < 0.05: *; Rip-Pex5−/− versus control mice.

To evaluate the upregulated ‘lysosome’ pathway, we stained with LAMP2 antibodies. Rip-Pex5−/− islets stained clearly stronger for LAMP2, indicative of increased lysosomal activity (Figure 6C). Interestingly, the cells exhibiting higher LAMP2 fluorescence displayed low but detectable insulin levels (Figure 6B). Finally, in view of the role of peroxisomes in ROS metabolism [45], it is interesting to note that the RNAseq data did not indicate a deregulation of ROS signaling pathways. This was further confirmed by unaltered staining of 4-HNE (Supplementary Figure 4), a marker for increased oxidative stress [46].

Figure 6.

Figure 6

Expression of LAMP2 in β-cells of Rip-Pex5−/−mice. Representative islet sections of (A) control and (B)Rip-Pex5−/− mice stained for LAMP2 (green) and insulin (red). Scale bars, 100 μm. In the enlargement and in the fluorescence intensity plots, it is shown that strong LAMP2 staining in Pex5−/− islets occurs in cells containing low levels of insulin. (C) Quantification of mean intensity of LAMP2 in control and Rip-Pex5−/− mice (n = 3 per genotype; 12–16 islets per mouse). Data are expressed as mean ± SEM. p < 0.001: ***; Rip-Pex5−/− versus control mice. a.u., arbitrary units.

3.6. Pex5−/− β-cells contain disintegrating mitochondria and translucent vacuoles

To further define the phenotype of Pex5-deficient β-cells, we analyzed the ultrastructure of islets from HFD fed mice by TEM. Whereas β-cells from control mice had a typical ultrastructure being highly populated with mature dense-core insulin granules (black arrow) (Figure 7A), the β-cells of Rip-Pex5−/− mice contained fewer mature insulin granules and showed an increased number of immature granules (Figure 7B). Strikingly, we observed in many (∼58%), but not in all β-cells of Rip-Pex5−/− mice an accumulation of single-membrane delimited vacuole-like structures (red arrow) that were either translucent or contained very light electrondense material (Figure 7B,C). In addition, these cells contained mitochondria (blue arrow) in which cristae had vanished to diverse extents (Figure 7B). The abundance of these abnormal mitochondria was significantly higher in β-cells of Rip-Pex5−/− mice as compared to controls fed a HFD (Figure 7D). In order to test whether this impacted the functionality of mitochondria, complex I activity was measured. The reduction of complex I activity in islets of Rip-Pex5−/− mice compared to control mice was indicative of defective mitochondrial function (Figure 7E & Supplementary Figure 6). In view of the marked ultrastructural aberrations in HFD-fed Rip-Pex5−/− mice, we checked whether abnormalities also occur in mice fed normal chow (Figure 7F,G). Chow-fed Rip-Pex5−/− mice displayed similar albeit less prominent anomalies. The vacuole-like structures were smaller and less numerous as compared to those in HFD-fed Rip-Pex5−/− mice. Fewer mitochondria exhibited signs of degradation, but a noticeable decrease in mature insulin granules was observed (Figure 7G). Thus, loss of functional peroxisomes in β-cells is accompanied by prominent alterations in other cellular compartments, which may contribute to the impaired insulin homeostasis.

Figure 7.

Figure 7

Loss of PEX5 in β-cells causes mitochondrial deterioration and massive vacuole overload. Representative electron micrographs of (A) HFD-fed control β-cells showing normal (white arrow) and slightly damaged mitochondria (yellow arrow) and numerous electron dense insulin granules (black arrow), whereas (B) HFD-fed Rip-Pex5−/− mice showed marked changes in β-cells represented by damaged mitochondria (blue arrow), reduced numbers of mature secretory granules, and cytoplasmic vacuolization (red arrow). n = 3–4 per group; Scale bars, 1 μm. (C) Stacked box plot showing the proportion of β-cells having vacuole-like structures (along with the number of vacuoles per β-cell) in HFD-fed Rip-Pex5−/− and control mice. (D) Graph showing the percentage of altered mitochondria in β-cells from HFD-fed control and Rip-Pex5−/− mice. (E) Relative complex I activity in islets isolated from HFD-fed control and Rip-Pex5−/− mice (n = 6 per genotype). (F, G) Representative electron micrographs of chow-fed control and Rip-Pex5−/− β-cells showing reduced numbers of mature secretory granules and cytoplasmic vacuolization (red arrow, more pronounced in HFD-fed Rip-Pex5−/− mice (B)). n = 3 per group; Scale bars, 1 μm. Data are expressed as mean ± SEM. p < 0.05: *; p < 0.01: **; Rip-Pex5−/− versus control mice.

4. Discussion

Peroxisomes are dynamic organelles with considerable structural and biochemical plasticity that adapt their content to cellular and environmental demands [1]. Despite decades of research, however, their specific role for the functioning of diverse cell types is still largely obscure. Here, we show that deletion of functional peroxisomes from β-cells through impeding the import of matrix proteins disrupts β-cell structure and function.

In comparison to the exocrine pancreas, we found that the abundance of peroxisomes in islets was very high, pointing to particular roles of these organelles in the endocrine cells. This is likely not related to an anti-oxidant function as it is well established that catalase expression in β- and α-cells is notoriously low [47]. Catalase is indeed one of the ‘forbidden’ genes [9], [48] in mouse pancreatic islet tissue but the significance of this profound repression of mRNA abundance for β-cell functioning is not clear. Lentiviral-mediated overexpression of catalase, either in the cytosol or in mitochondria, did not affect glucose-stimulated insulin secretion in rat islets [11]. However, elevating the levels of catalase in its normal cellular context i.e. in peroxisomes was not attempted. The precise role of ROS signaling for β-cell function has still not been elucidated. According to data from Elsner et al. [14], the production of peroxisomal H2O2, a side product formed during the first step of peroxisomal β-oxidation, is toxic for rat β-cells. Differences between saturated and unsaturated fatty acids [49] and between rat and human [50] were subsequently reported, which cannot be explained by our current understanding of peroxisomal β-oxidation. Peroxisomes play a pivotal role in cellular ROS homeostasis, but the consequences of the ectopic localization of both the ROS generating and degrading enzymes are unpredictable and could depend on the cell type. In Rip-Pex5−/− mice, we did not find evidence for increased ROS and it is therefore unlikely that aberrant redox signaling is responsible for the observed phenotype. Instead, the high peroxisomal abundance in β-cells and the cellular aberrations caused by their absence are probably related to the role of peroxisomes in lipid metabolism. Deletion of peroxisomal matrix import protein resulted both in increased levels of very long chain fatty acids due to a defect in β-oxidation and in a reduction of plasmalogens due to impaired ether lipid synthesis. Which of these or possibly other metabolic derangements contribute to the observed phenotype remains to be investigated. In this respect, it is interesting to note that a mild reduction in phoshatidylcholine plasmalogen species, but not in the more abundant phosphatidylethanolamine plasmalogens, was found following stimulation of murine pancreatic islets with glucose [52].

The most prominent alterations in β-cells were degenerative features of mitochondria and an accumulation of vacuole-like structures. Mitochondrial alterations as a consequence of defective peroxisomal function were previously reported but were strongly dependent on the cell type and nature of the peroxisomal dysfunction. Mitochondrial destruction was most prominent in Pex5-deficient hepatocytes, with sparse and unusually shaped cristae and a severe reduction of complex I activity [51]. Other complexes were less (complex III and V) or not affected (complex II and IV) [51]. In contrast no obvious functional nor structural mitochondrial impairments were seen in Pex5-deleted striated muscle and brain [53]. In Pex5-deficient β-cells, several mitochondria were found in which the cristae structure seemed to be gradually lost, ultimately impacting complex I activity. In addition, in the majority but not in all β-cells, an accumulation of vesicles with a low electron density and surrounded by a single membrane was observed. Such structures were not seen in other Pex5-deficient cell types (hepatocytes, neural cells, striated muscle) [51], [53]. We could not define the origin and nature of these vacuole-like structures but in view of their size, they are not compatible with peroxisomal ghosts [54]. Cytoplasmic vacuolization, a well-known morphological phenomenon observed in mammalian cells in response to viral or toxic inducers, has been implicated in various forms of cell death [55]. Vacuoles can originate from several components of the endo-lysosomal system. Interestingly, such structures of undefined origin were also seen in β-cells from type 2 diabetes patients and in murine β-cells in which the autophagic process was hyperactivated [56], [57] and in a model in which Cdk4/6 inhibition caused pancreatic β-cell loss and glucose deregulation [58].

Interestingly, pathway enrichment analysis of the transcriptome of Rip-Pex5−/− islets revealed a positive correlation with the ‘lysosome’ pathway, which was supported by increased LAMP2 immunoreactivity. A recent study by Kleinecke et al. also suggested that peroxisome dysfunction has severe consequences on the function of lysosomes [59]. However, additional research is needed to better understand the link between peroxisomes and lysosomes in β-cells. Also, other transcriptome changes in Rip-Pex5−/− islets that are of potential interest require further analysis to understand their contribution to the phenotype. For example, increased expression of voltage-dependent potassium channels might affect β-cell electrical activity and insulin secretion [60]. On the other hand, an increased expression of chemokines may cause immune cell recruitment and β-cell dysfunction [61].

It is interesting to note that all the ultrastructural changes were more prominent in HFD-fed Rip-Pex5−/− mice, but they also occurred in mice fed normal chow. This indicates that peroxisomes are needed to maintain β-cells under basal conditions, but might play a more crucial role in situations of metabolic stress. The structural anomalies of β-cells in Rip-Pex5−/− mice were accompanied by a deregulation of glucose homeostasis. Glucose levels were significantly elevated in fed and fasting conditions, although they did not reach diabetic levels. This was likely due to impaired insulin secretion as observed in response to a bolus of glucose both in vivo and ex vivo. Rip-Pex5−/− mice also exhibited a significant reduction in total pancreatic insulin content on both diets, whereas the β-cell mass was only reduced in the HFD condition. Hence, peroxisome deficient β-cells fail to show a compensatory increase when exposed to a continuous overload of lipids. This observation supports the proposition that peroxisomes are particularly needed to adapt β-cell mass during conditions of metabolic stress. Transcriptome analysis revealed that several genes involved in apoptosis were upregulated in β-cells of Rip-Pex5−/− mice. This was further confirmed by an increase in TUNEL staining whereas proliferation markers were unaltered. Thus, the decrease in β-cell mass is rather caused by increased apoptosis of β-cells and not by impaired proliferation.

The β-cell deregulation could be a direct consequence of altered levels of peroxisomal metabolites, but the secondary cellular alterations, and in particular the degeneration of an important fraction of mitochondria, could be involved as well. In order to decipher how the loss of peroxisomal activity in β-cells interferes with other cellular compartments, including mitochondria and the endolysosomal system, and results in increased apoptotic cell death, it would be instructive to eliminate PEX5 in an insulinoma cell line. Provided that the cellular anomalies are recapitulated in vitro, this would allow to define the sequence of cellular events and to stimulate or block processes, such as the endolysosomal pathway.

It also remains to be investigated whether the findings in mice can be translated to men. In patients with peroxisome biogenesis disorders, glucose homeostasis has not been well documented. Severely affected patients have feeding difficulties due to hypotonia and usually do not live up to one year of age, hence they are not exposed to lipid overload. On the other hand, the longer-surviving patients have mild mutations which may not lead to β-cell dysfunction. Ageing has been related to reduced peroxisomal function, and it remains to be investigated whether this could impact on β-cell function, in particular in conditions of metabolic overload.

5. Conclusions

In conclusion, this study was performed in response to long-standing open questions on how peroxisomes contribute to β-cell function. Our data provide evidence that peroxisomal metabolism plays an essential role in the preservation of β-cell integrity. Although we cannot exclude the involvement of other cell types, this likely occurs in a cell autonomous way. This suggests that enhancing peroxisome activity is a potential avenue to support β-cell function in metabolic stress conditions.

Contribution statement

RKB, ABS, MB, and PVV contributed to the conception and design of the study. RKB, ABS, KL, and PVV were involved with data acquisition. RKB, ABS, FS, PVV, MF, and MB performed data analysis and interpretation. RKB, ABS, and MB drafted the manuscript. All authors contributed to critically revising the article for important intellectual content and gave their final approval of the version to be published.

Funding

These studies were supported by KU Leuven, Belgium (Research grant C12/16/021 and a fellowship to Abhijit Babaji Shinde (DBOF/10/059)).

Acknowledgements

We thank Dr. Frédérique Vaz for analysis of C26-LPC, Dr. Anica Schraenen and Benny Das for technical help, Dr. Tobias Karakach and Shawez Khan for help with bioinformatics analysis, and Dr. Gabrielle Dodt (Germany) for providing polyclonal anti–PEX5 antibodies.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.molmet.2019.02.001.

Conflict of interest

The authors declare no conflict of interest associated with this manuscript.

Appendix A. Supplementary data

The following are the Supplementary data to this article:

figs1.

figs1

Supplementary Figure 1: Tamoxifen induction and CRE/ER expression have no effect on glucose homeostasis. (a) Fasting blood glucose levels and (b) glucose tolerance measurements between tamoxifen-treated Rip-Cre+Pex5WT/FL and vehicle-treated Pex5WT/FL mice supplemented with HFD for 12 weeks (n = 14 per group).

figs2.

figs2

Supplementary Figure 2: PEX5 ablation in β-cells does not affect peripheral insulin sensitivity. (a, b) Blood glucose and AUC measurements of IPITT in control and Rip-Pex5−/− mice supplemented with either a chow (n = 4) or HFD (n = 5). Data are expressed as mean ± SEM. p < 0.05: *; p < 0.001: *** Rip-Pex5−/− versus respective control mice.

figs3.

figs3

Supplementary Figure 3: Visualization of significant DEGs between control and Rip-Pex5−/−mice identified by RNAseq analysis. Relative expression (fold change) of “chemokine” and “voltage-dependent potassium channel” genes. DEGs, differentially expressed genes.3

figs4.

figs4

Supplementary Figure 4: Oxidative stress in PEX5-deficient β-cells as assessed by 4-HNE staining. Representative images for 4-HNE/insulin double staining of pancreatic sections from Rip-Pex5−/− (n = 4; 27–37 islets per mouse) and control (n = 5; 25–47 islets per mouse) mice. Scale bars, 100 μm.4

figs5.

figs5

Supplementary Figure 5: Enhanced apoptosis in PEX5-deficient β-cells is independent of hyperglycemia. Representative images for TUNEL/insulin (white arrow) double staining of pancreatic sections from Rip-Pex5−/− (n = 5; 12–29 islets per mouse) and control (n = 4; 19–28 islets per mouse) mice. Scale bars, 100 μm.5

figs6.

figs6

Supplementary Figure 6: Complex I enzyme activity dipstick assay results. The signal intensity of the band (i.e. Complex I antibody line on the dipstick) corresponds to the level of Complex I enzyme activity in islets from control and Rip-Pex5−/− mice (n = 6 per genotype). a.u., arbitrary units.6

References

  • 1.Islinger M., Voelkl A., Fahimi H.D., Schrader M. The peroxisome: an update on mysteries 2.0. Histochemistry and Cell Biology. 2018;150(5):443–471. doi: 10.1007/s00418-018-1722-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wanders R.J.A. Metabolic functions of peroxisomes in health and disease. Biochimie. 2014;98:36–44. doi: 10.1016/j.biochi.2013.08.022. [DOI] [PubMed] [Google Scholar]
  • 3.Dixit E., Boulant S., Zhang Y., Lee A.S.Y., Odendall C., Shum B. Peroxisomes are signaling platforms for antiviral innate immunity. Cell. 2010;141(4):668–681. doi: 10.1016/j.cell.2010.04.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Fransen M., Lismont C., Walton P. The peroxisome-mitochondria connection: how and why? International Journal of Molecular Sciences. 2017;18(6):1126. doi: 10.3390/ijms18061126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Castro I.G., Schuldiner M., Zalckvar E. Mind the organelle gap – peroxisome contact sites in disease. Trends in Biochemical Sciences. 2018;43(3):199–210. doi: 10.1016/j.tibs.2018.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Costello J.L., Castro I.G., Hacker C., Schrader T.A., Metz J., Zeuschner D. ACBD5 and VAPB mediate membrane associations between peroxisomes and the ER. The Journal of Cell Biology. 2017;216(2):331–342. doi: 10.1083/jcb.201607055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lenzen S., Drinkgern J. Low antioxidant enzyme gene expression in pancreatic islets compared with various other mouse tissues. Free Radical Biology and Medicine. 1996;20(3):463–466. doi: 10.1016/0891-5849(96)02051-5. [DOI] [PubMed] [Google Scholar]
  • 8.Thorrez L., Laudadio I., Van Deun K., Quintens R., Hendrickx N., Granvik M. Tissue-specific disallowance of housekeeping genes: the other face of cell differentiation. Genome Research. 2011;21(1):95–105. doi: 10.1101/gr.109173.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pullen T.J., Rutter G.A. When less is more: the forbidden fruits of gene repression in the adult beta-cell. Diabetes, Obesity and Metabolism. 2013;15(6):503–512. doi: 10.1111/dom.12029. [DOI] [PubMed] [Google Scholar]
  • 10.Lemaire K., Thorrez L., Schuit F. Disallowed and allowed gene expression: two faces of mature islet beta cells. Annual Review of Nutrition. 2016;36:45–71. doi: 10.1146/annurev-nutr-071715-050808. [DOI] [PubMed] [Google Scholar]
  • 11.Lortz S., Gurgul-Convey E., Naujok O., Lenzen S. Overexpression of the antioxidant enzyme catalase does not interfere with the glucose responsiveness of insulin-secreting INS-1E cells and rat islets. Diabetologia. 2013;56(4):774–782. doi: 10.1007/s00125-012-2823-7. [DOI] [PubMed] [Google Scholar]
  • 12.Góth L., Eaton J.W. Hereditary catalase deficiencies and increased risk of diabetes. Lancet. 2000;356(9244):1820–1821. doi: 10.1016/S0140-6736(00)03238-4. [DOI] [PubMed] [Google Scholar]
  • 13.Fontés G., Zarrouki B., Hagman D.K., Latour M.G., Semache M., Roskens V. Glucolipotoxicity age-dependently impairs beta cell function in rats despite a marked increase in beta cell mass. Diabetologia. 2010;53(11):2369–2379. doi: 10.1007/s00125-010-1850-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Elsner M., Gehrmann W., Lenzen S. Peroxisome-generated hydrogen peroxide as important mediator of lipotoxicity in insulin-producing cells. Diabetes. 2011;60(1):200–208. doi: 10.2337/db09-1401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hellemans K., Kerckhofs K., Hannaert J.-C., Martens G., Van Veldhoven P., Pipeleers D. Peroxisome proliferator-activated receptor alpha-retinoid X receptor agonists induce beta-cell protection against palmitate toxicity. The FEBS Journal. 2007;274(23):6094–6105. doi: 10.1111/j.1742-4658.2007.06131.x. [DOI] [PubMed] [Google Scholar]
  • 16.Dor Y., Brown J., Martinez O.I., Melton D.A. Adult pancreatic β-cells are formed by self-duplication rather than stem-cell differentiation. Nature. 2004;429:41. doi: 10.1038/nature02520. [DOI] [PubMed] [Google Scholar]
  • 17.Lee J.Y., Ristow M., Lin X., White M.F., Magnuson M.A., Hennighausen L. RIP-Cre revisited, evidence for impairments of pancreatic β-cell function. Journal of Biological Chemistry. 2006;281(5):2649–2653. doi: 10.1074/jbc.M512373200. [DOI] [PubMed] [Google Scholar]
  • 18.Lemaire K., Ravier M.A., Schraenen A., Creemers J.W.M., Van de Plas R., Granvik M. Insulin crystallization depends on zinc transporter ZnT8 expression, but is not required for normal glucose homeostasis in mice. Proceedings of the National Academy of Sciences of the United States of America. 2009;106(35):14872–14877. doi: 10.1073/pnas.0906587106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cheng Q., Boucher B.J., Leung P.S. Modulation of hypovitaminosis D-induced islet dysfunction and insulin resistance through direct suppression of the pancreatic islet renin–angiotensin system in mice. Diabetologia. 2013;56(3):553–562. doi: 10.1007/s00125-012-2801-0. [DOI] [PubMed] [Google Scholar]
  • 20.Lalloyer F., Vandewalle B., Percevault F., Torpier G., Kerr-Conte J., Oosterveer M. Peroxisome proliferator–activated receptor α improves pancreatic adaptation to insulin resistance in obese mice and reduces lipotoxicity in human islets. Diabetes. 2006;55(6) doi: 10.2337/db06-0016. 1605 LP-1613. [DOI] [PubMed] [Google Scholar]
  • 21.Amery L., Fransen M., De Nys K., Mannaerts G.P., Van Veldhoven P.P. Mitochondrial and peroxisomal targeting of 2-methylacyl-CoA racemase in humans. Journal of Lipid Research. 2000 [PubMed] [Google Scholar]
  • 22.Antonenkov V.D., Van Veldhoven P.P., Waelkens E., Mannaerts G.P. Substrate Specificities of 3-oxoacyl-CoA thiolase A and sterol carrier protein 2/3-oxoacyl-CoA thiolase purified from normal rat liver peroxisomes: sterol carrier protein 2/3-oxoacyl-CoA thiolase is involved in the metabolism of 2-methyl-branched fatty acids and bile acid intermediates. Journal of Biological Chemistry. 1997;272(41):26023–26031. doi: 10.1074/jbc.272.41.26023. [DOI] [PubMed] [Google Scholar]
  • 23.Brouwers B., De Faudeur G., Osipovich A.B., Goyvaerts L., Lemaire K., Boesmans L. Impaired islet function in commonly used transgenic mouse lines due to human growth hormone minigene expression. Cell Metabolism. 2014;20(6):979–990. doi: 10.1016/j.cmet.2014.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Natale G., Lenzi P., Lazzeri G., Falleni A., Biagioni F., Ryskalin L. Compartment-dependent mitochondrial alterations in experimental ALS, the effects of mitophagy and mitochondriogenesis. Frontiers in Cellular Neuroscience. 2015;9 doi: 10.3389/fncel.2015.00434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Van De Beek M.C., Dijkstra I.M.E., Van Lenthe H., Ofman R., Goldhaber-Pasillas D., Schauer N. C26:0-Carnitine is a new biomarker for X-linked adrenoleukodystrophy in mice and man. PLoS One. 2016;11(4):e0154597. doi: 10.1371/journal.pone.0154597. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Van Veldhoven P.P., Mannaerts G.P. Inorganic and organic phosphate measurements in the nanomolar range. Analytical Biochemistry. 1987;161(1):45–48. doi: 10.1016/0003-2697(87)90649-x. [DOI] [PubMed] [Google Scholar]
  • 27.Mezzar S., de Schryver E., Van Veldhoven P.P. RP-HPLC-fluorescence analysis of aliphatic aldehydes: application to aldehyde-generating enzymes HACL1 and SGPL1. Journal of Lipid Research. 2014;55(3):573–582. doi: 10.1194/jlr.D044230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Dodt G., Braverman N., Wong C., Moser A., Moser H.W., Watkins P. Mutations in the PTS1 receptor gene, PXR1, define complementation group 2 of the peroxisome biogenesis disorders. Nature Genetics. 1995;9(2):115–125. doi: 10.1038/ng0295-115. [DOI] [PubMed] [Google Scholar]
  • 29.Bray N.L., Pimentel H., Melsted P., Pachter L. Near-optimal probabilistic RNA-seq quantification. Nature Biotechnology. 2016;34(5):524–527. doi: 10.1038/nbt.3519. [DOI] [PubMed] [Google Scholar]
  • 30.Robinson M.D., McCarthy D.J., Smyth G.K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–140. doi: 10.1093/bioinformatics/btp616. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Turgeon C.T., Moser A.B., Mørkrid L., Magera M.J., Gavrilov D.K., Oglesbee D. Streamlined determination of lysophosphatidylcholines in dried blood spots for newborn screening of X-linked adrenoleukodystrophy. Molecular Genetics and Metabolism. 2015;114(1):46–50. doi: 10.1016/j.ymgme.2014.11.013. [DOI] [PubMed] [Google Scholar]
  • 32.Klouwer F.C.C., Ferdinandusse S., van Lenthe H., Kulik W., Wanders R.J.A., Poll-The B.T. Evaluation of C26:0-lysophosphatidylcholine and C26:0-carnitine as diagnostic markers for Zellweger spectrum disorders. Journal of Inherited Metabolic Disease. 2017;40(6):875–881. doi: 10.1007/s10545-017-0064-0. [DOI] [PubMed] [Google Scholar]
  • 33.Golson M.L., Misfeldt A.A., Kopsombut U.G., Petersen C.P., Gannon M. High fat diet regulation of β-cell proliferation and β-cell mass. The Open Endocrinology Journal. 2010;4 doi: 10.2174/1874216501004010066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Gartel A.L., Radhakrishnan S.K. Lost in transcription: p21 repression, mechanisms, and consequences. Cancer Research. 2005:3980–3985. doi: 10.1158/0008-5472.CAN-04-3995. [DOI] [PubMed] [Google Scholar]
  • 35.Villunger A., Michalak E.M., Coultas L., Müllauer F., Böck G., Ausserlechner M.J. p53- and drug-induced apoptotic responses mediated by BH3-only proteins puma and noxa. Science. 2003;302(5647):1036–1038. doi: 10.1126/science.1090072. [DOI] [PubMed] [Google Scholar]
  • 36.Lin Y., Ma W., Benchimol S. Pidd, a new death-domain-containing protein, is induced by p53 and promotes apoptosis. Nature Genetics. 2000;26(1):122–125. doi: 10.1038/79102. [DOI] [PubMed] [Google Scholar]
  • 37.Xu G., Chen J., Jing G., Shalev A. Thioredoxin-interacting protein regulates insulin transcription through microRNA-204. Nature Medicine. 2013;19(9):1141–1146. doi: 10.1038/nm.3287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Luo P., Wang M.-H. Eicosanoids, β-cell function, and diabetes. Prostaglandins & Other Lipid Mediators. 2011;95(1–4):1–10. doi: 10.1016/j.prostaglandins.2011.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Lopes N., Gregg D., Vasudevan S., Hassanain H., Goldschmidt-Clermont P., Kovacic H. Thrombospondin 2 regulates cell proliferation induced by Rac1 redox-dependent signaling. Molecular and Cellular Biology. 2003;23(15):5401–5408. doi: 10.1128/MCB.23.15.5401-5408.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Han X., Amar S. Secreted frizzled-related protein 1 (SFRP1) protects fibroblasts from ceramide-induced apoptosis. Journal of Biological Chemistry. 2004;279(4):2832–2840. doi: 10.1074/jbc.M308102200. [DOI] [PubMed] [Google Scholar]
  • 41.Mehrabian M., Schulthess F.T., Nebohacova M., Quiros M.A., Castellani L.W., Zhou Z. Identification of 5-lipoxygenase as a gene regulating adiposity and pancreatic function. Diabetologia. 2008;51(6):978–988. doi: 10.1007/s00125-008-1002-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Kahraman S., Dirice E., Altunbas H.A., Şanlioğlu A.D. Proliferative effect of sTRAIL on mouse pancreatic beta cells. Journal of the Pancreas. 2014;540 [Google Scholar]
  • 43.Zhang H., Ackermann A.M., Gusarova G. a., Lowe D., Feng X., Kopsombut U.G. The FoxM1 transcription factor is required to maintain pancreatic beta-cell mass. Molecular Endocrinology (Baltimore, Md.) 2006;20(8):1853–1866. doi: 10.1210/me.2006-0056. [DOI] [PubMed] [Google Scholar]
  • 44.Roisin-Bouffay C., Castellano R., Valéro R., Chasson L., Galland F., Naquet P. Mouse vanin-1 is cytoprotective for islet beta cells and regulates the development of type 1 diabetes. Diabetologia. 2008;51(7):1192–1201. doi: 10.1007/s00125-008-1017-9. [DOI] [PubMed] [Google Scholar]
  • 45.Fransen M., Nordgren M., Wang B., Apanasets O. Role of peroxisomes in ROS/RNS-metabolism: implications for human disease. Biochimica et Biophysica Acta (BBA) Molecular Basis of Disease. 2012;1822(9):1363–1373. doi: 10.1016/j.bbadis.2011.12.001. [DOI] [PubMed] [Google Scholar]
  • 46.Breitzig M., Bhimineni C., Lockey R., Kolliputi N. 4-Hydroxy-2-nonenal: a critical target in oxidative stress? American Journal of Physiology Cell Physiology. 2016;311(4):C537–C543. doi: 10.1152/ajpcell.00101.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Lemaire K., Granvik M., Schraenen A., Goyvaerts L., Van Lommel L., Gómez-Ruiz A. How stable is repression of disallowed genes in pancreatic islets in response to metabolic stress? PLoS One. 2017;12(8):e0181651. doi: 10.1371/journal.pone.0181651. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Schuit F., Van Lommel L., Granvik M., Goyvaerts L., De Faudeur G., Schraenen A. Beta-cell-specific gene repression: a mechanism to protect against inappropriate or maladjusted insulin secretion? Diabetes. 2012;61(5):969–975. doi: 10.2337/db11-1564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Gehrmann W., Würdemann W., Plötz T., Jörns A., Lenzen S., Elsner M. Antagonism between saturated and unsaturated fatty Acids in ROS mediated lipotoxicity in rat insulin-producing cells. Cellular Physiology and Biochemistry. 2015;36(3):852–865. doi: 10.1159/000430261. [DOI] [PubMed] [Google Scholar]
  • 50.Plötz T., Krümmel B., Laporte A., Pingitore A., Persaud S.J., Jörns A. The monounsaturated fatty acid oleate is the major physiological toxic free fatty acid for human beta cells. Nutrition & Diabetes. 2017;7(12):305. doi: 10.1038/s41387-017-0005-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Peeters A., Shinde A.B., Dirkx R., Smet J., De Bock K., Espeel M. Mitochondria in peroxisome-deficient hepatocytes exhibit impaired respiration, depleted DNA, and PGC-1α independent proliferation. Biochimica et Biophysica Acta Molecular Cell Research. 2015;1853(2):285–298. doi: 10.1016/j.bbamcr.2014.11.017. [DOI] [PubMed] [Google Scholar]
  • 52.Pearson G.L., Mellett N., Chu K.Y., Boslem E., Meikle P.J., Biden T.J. A comprehensive lipidomic screen of pancreatic β-cells using mass spectroscopy defines novel features of glucose-stimulated turnover of neutral lipids, sphingolipids and plasmalogens. Molecular Metabolism. 2016;5(6):404–414. doi: 10.1016/j.molmet.2016.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Shinde A.B., Baboota R.K., Denis S., Loizides-Mangold U., Peeters A., Espeel M. Mitochondrial disruption in peroxisome deficient cells is hepatocyte selective but is not mediated by common hepatic peroxisomal metabolites. Mitochondrion. 2018;39:51–59. doi: 10.1016/j.mito.2017.08.013. [DOI] [PubMed] [Google Scholar]
  • 54.Soliman K., Göttfert F., Rosewich H., Thoms S., Gärtner J. Super-resolution imaging reveals the sub-diffraction phenotype of Zellweger Syndrome ghosts and wild-type peroxisomes. Scientific Reports. 2018;8(1):7809. doi: 10.1038/s41598-018-24119-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Shubin A.V., Demidyuk I.V., Komissarov A.A., Rafieva L.M., Kostrov S.V. Cytoplasmic vacuolization in cell death and survival. Oncotarget. 2016;7(34):55863–55889. doi: 10.18632/oncotarget.10150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Masini M., Bugliani M., Lupi R., del Guerra S., Boggi U., Filipponi F. Autophagy in human type 2 diabetes pancreatic beta cells. Diabetologia. 2009;52(6):1083–1086. doi: 10.1007/s00125-009-1347-2. [DOI] [PubMed] [Google Scholar]
  • 57.Yamamoto S., Kuramoto K., Wang N., Situ X., Priyadarshini M., Zhang W. Autophagy differentially regulates insulin production and insulin sensitivity. Cell Reports. 2018;23(11):3286–3299. doi: 10.1016/j.celrep.2018.05.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Sacaan A.I., Thibault S., Hong M., Kondegowda N.G., Nichols T., Li R. CDK4/6 Inhibition on glucose and pancreatic beta cell homeostasis in young and aged Rats. Molecular Cancer Research. 2017;15(11) doi: 10.1158/1541-7786.MCR-17-0172. 1531 LP-1541. [DOI] [PubMed] [Google Scholar]
  • 59.Kleinecke S., Richert S., de Hoz L., Brügger B., Kungl T., Asadollahi E. Peroxisomal dysfunctions cause lysosomal storage and axonal Kv1 channel redistribution in peripheral neuropathy. ELife. 2017;6:e23332. doi: 10.7554/eLife.23332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.MacDonald P.E., Wheeler M.B. Voltage-dependent K+ channels in pancreatic beta cells: role, regulation and potential as therapeutic targets. Diabetologia. 2003;46(8):1046–1062. doi: 10.1007/s00125-003-1159-8. [DOI] [PubMed] [Google Scholar]
  • 61.Burke S.J., Collier J.J. Transcriptional regulation of chemokine genes: a link to pancreatic islet inflammation? Biomolecules. 2015;5(2):1020–1034. doi: 10.3390/biom5021020. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Molecular Metabolism are provided here courtesy of Elsevier

RESOURCES