Background
Multipotent neural stem cells (NSCs) have the capacity to self-renew and generate differentiated progeny of neural cell types, such as neurons, astrocytes, and oligodendrocytes [
1]. Increasing evidence suggests that adult NSCs progressively generate new neurons, even in adulthood, and that this adult neurogenesis contributes intrinsically to brain development, tissue homeostasis, and cognitive function [
2]. However, the capability for adult neurogenesis debilitates with aging or neurodegeneration, and the size of the adult NSC pool decreases. This decrease raises the possibility that deregulated programmed cell death (PCD), as well as alterations in the rate of proliferation and differentiation of NSCs, may contribute to deteriorated neurogenesis in the diseased brain [
3]. Indeed, PCD is important in regulating the size of the NSC population at various stages of neural development. However, the molecular mechanisms of PCD that underlie the debilitated capability of the adult NSCs during neurodegeneration remain poorly understood.
Different types of PCD are characterized by morphological and biochemical criteria and classified into three major types: apoptosis; autophagic cell death (ACD); and necrosis. Compared with the relatively well-studied physiological roles and biochemical mechanisms of apoptosis, the roles and relevant molecular mechanisms of ACD are largely unknown, especially in mammals. Our recent study revealed that hippocampal neural stem (HCN) cells derived from adult rats undergo ACD following insulin withdrawal [
4-
6]. HCN cells have intact apoptotic machinery; nevertheless, they undergo ACD with an increased autophagic flux upon insulin withdrawal. Of note, apoptotic hallmarks are absent in insulin-deprived HCN cells. Because the degree of cell death is proportional to the level of autophagy without apoptosis activation and knockdown of the key autophagy gene
Atg7 reduces cell death, insulin-deprived HCN cells meet the strict criteria suggested as definitive of ACD, and are considered as the most genuine model of ACD in mammalian systems [
7,
8].
Autophagy is an evolutionarily conserved catabolic process for degradation of cytosolic proteins and organelles by forming autophagosome for cargo loading and subsequent fusion with lysosomes [
9]. Autophagy can be induced by a variety of stress stimuli, such as nutrient and growth factor deprivation, protein aggregation, mitochondrial damage, or pathogen infection [
10]. A large body of literature has demonstrated the cytoprotective role of autophagy in sustaining cellular stress. Autophagy relieves cellular stresses by removing sources of stresses, such as toxic aggregated proteins, dysfunctional subcellular organelles, or infectious agents. Additionally, autophagy can contribute to fulfilling acute metabolic needs under starvation conditions by degrading and recycling the cargos. In opposition to these pro-survival roles, recent evidence including our own research, suggests that autophagy may also serve as an alternative, non-apoptotic mode of cell death referred to as ACD [
11].
GSK-3 is a serine/threonine kinase that regulates a variety of cellular functions including glycogen synthesis, metabolism, proliferation, differentiation, apoptosis, insulin signaling, and decision of cell fates during embryonic development [
12-
15]. GSK3 exists in two isoforms, GSK-3α (51 kDa) and GSK-3β (47 kDa), each encoded by separate genes with an overall homology of 85% [
16]. The two isoforms have highly conserved kinase domains, but differ at the N- and C-terminals. Additionally, the two isoforms of GSK-3 are not functionally identical, as demonstrated by embryonic lethality only in GSK-3β knockout mice [
17,
18]. Moreover, GSK-3β is found ubiquitously throughout the animal kingdom with particularly high levels in the central nervous system, whereas GSK-3α is expressed only in vertebrates [
19]. Recent studies have suggested that GSK-3β plays critical roles in neural development, cell death, and the maintenance of pluripotency during neurodevelopment [
20-
22]. An additional well-explored aspect of GSK-3β is its role in neuronal death and neurodegeneration. GSK-3β activation leads to neuronal apoptosis, and the formation of amyloid plaques, the phosphorylation of tau proteins, and the formation of neurofibrillary tangles in models of Alzheimer’s disease [
23,
24].
GSK-3β is a downstream negative regulator of the insulin response and is inhibited by insulin signaling [
25,
26]. Given the role of GSK-3β in neuronal apoptosis and neurodegeneration [
27-
29], GSK-3β may be a critical regulator of cellular responses to stress, such as insulin withdrawal. These findings prompted us to propose the involvement of GSK-3β in regulation of ACD in HCN cells following insulin withdrawal. In this report, we found that insulin withdrawal triggered the activation of GSK-3β, suggesting that GSK-3β may play an important role in HCN cell death. Inhibition of GSK-3β using pharmacological inhibitor and gene silencing significantly decreased ACD. On the other hand, over-activation of GSK-3β through expression of wildtype (WT) or constitutively active (CA) forms of GSK-3β led to augmentation of ACD without inducing apoptosis. These results support the assertion that insulin withdrawal-induced death of HCN cells represents the genuine model of ACD in mammalian cells, and identify GSK-3β as a critical regulator of ACD in HCN cells.
Discussion
Due to their potential for providing novel therapeutic avenues for the treatment of neurodegenerative diseases, multipotent NSCs have attracted considerable attention from both the scientific community and the public. However, the hostile environment in the aging or diseased brain greatly limits the proliferation and neurogenesis of NSCs and presents barriers to effective therapeutic design with engrafted or endogenous NSCs. Our present lack of knowledge regarding the molecular mechanisms governing the survival and death of NSCs during degeneration has hindered the utilization of NSCs for the treatment of brain diseases.
In this report, we demonstrated that GSK-3β was a critical upstream regulator of ACD in insulin-deprived HCN cells. We used two readouts to monitor GSK-3β activity; the inhibitory phosphorylation status of the serine 9 residue, and the β-catenin level. Activation of GSK-3β following insulin withdrawal augmented ACD, while pharmacological inhibition and gene silencing of GSK-3β attenuated ACD. The mode of cell death caused by GSK-3β activation was of special interest to us. Over-expression of GSK-3β is known to induce apoptosis in neurons and various other cell types. However, over-expression of the GSK-3β WT or CA mutant forms in insulin-deprived HCN cells gave rise to greater increases in autophagic flux and cell death as compared with insulin withdrawal alone, but without inducing apoptosis. The GSK-3β CA form accelerated the autophagic flux rate greatly, and caused more cell death than the WT form. These data demonstrated that the status of GSK-3β activation was well correlated with the level of ACD, but that there was no induction of apoptosis regardless of the activities of GSK-3β in HCN cells following insulin withdrawal. Given the apoptotic role of GS-3β in other cell types, it is an intriguing question to ask how two different modes of cell death can be distinguished and what signals are specific to ACD in relation to GSK-3β in HCN cells. One potential mechanism may be related with calpain activation. Recently, Jin et al. reported the cleavage of GSK-3β by calpain can potentiate the neurotoxic activity of GSK-3β [
39]. It is conceivable that further modification of GSK-3β may be required to turn its autophagic activity into apoptosis. Collectively, the results of our study established GSK-3β as a major modulator of ACD in insulin-deprived HCN cells.
The prime role of autophagy at the basal state is to protect cells from stress conditions by degrading damaged organelles and proteins, or by supplying metabolic provisions and biochemical intermediates. However, emerging evidence suggests that autophagy may play a causative role in cell death when it is induced excessively. The growing interest in the molecular mechanisms of ACD was highlighted by a recent debate focused on the definition and roles of ACD [
7,
40,
41]. Further studies into the molecular mechanisms of induction and execution of ACD and its interaction with apoptosis are urgently warranted in order to resolve the current controversies and advance our understanding of this intriguing mode of cell death.
Though GSK-3β activation has been widely implicated in cell death, GSK-3β is a bifunctional enzyme that plays conflicting roles by promoting cell survival under certain conditions [
12]. In HCN cells, activation of GSK-3β following insulin withdrawal seems to be detrimental rather than protective, as the inhibition and genetic suppression of endogenous GSK-3β abated the autophagy level and subsequent cell death. On the other hand, over-expression of the GSK-3β WT form substantially elevated ACD, and the CA form exhibited an even more potent effect.
NSC transplantation has been a popularly conceived therapeutic approach to treat various devastating neurodegenerative diseases. However, the use of exogenous stem cells has been associated with barriers based on ethical and technical issues. Therefore, utilization of endogenous NSCs can be an ideal alternative. In order to optimize the therapeutic potential of endogenous NSCs, it will be essential to understand how NSCs respond to adverse cellular stresses and identify the signaling molecules involved in the regulation of NSC function, especially the signaling cascades governing the death of NSCs [
3]. The molecular mechanisms of PCD that affect the NSC population remain obscure. In HCN cells, the apoptotic machinery is intact. Therefore, the drivers of the mode of cell death provoked by insulin withdrawal and GSK-3β activation that results in a preference of ACD over apoptosis is particularly intriguing. Much remains to be learned to address this stimulating question, but the efforts required to pursue such answers will surely provide novel insights into the role of autophagy and PCD in NSC biology.
Methods
Cell culture and chemicals
HCN cells were cultured as previously described [
6]. Stock solutions of Z-VAD.fmk (BD Pharmingen, Franklin Lake, NJ, USA), Bafilomycin A1 (Sigma-Aldrich, St. Louis, MO, USA) and BIO (Sigma-Aldrich) were prepared in dimethyl sulfoxide at appropriate concentrations.
Cell death assay
HCN cells were seeded in 96-well plates at a cell density of 1.0 × 10
5 cells/mL. Hoechst 33342 and propidium iodide (PI; Invitrogen, Waltham, MA, USA) stock solutions were diluted with phosphate-buffered saline (PBS). After adding the diluted Hoechst and PI solutions to the wells (1% volume of media in the well, final 1/1000 dilution) in the dark, plates were incubated for 20 min at 37°C. Blue and red signal-positive cells were counted under fluorescence microscopy. The percentage of cell death was calculated as follows:
$$ \mathrm{Cell}\ \mathrm{death}\ \left(\%\right) = \left(\mathrm{PI}\ \left[\mathrm{red}\right]\ \mathrm{positive}\ \mathrm{cell}\ \mathrm{number}/\mathrm{total}\ \mathrm{cell}\ \mathrm{number}\ \left[\mathrm{blue}\right]\right) \times 100 $$
Annexin V staining
Annexin V-FITC (BD Biosciences, San Jose, CA, USA) was used for the determination of apoptosis. HCN cells were harvested 24 h after insulin withdrawal by trypsin-EDTA and centrifugation at 500 g for 5 min at 4°C. After cells were labeled with the Annexin V–FITC (1: 500 dilution) for 15 min at room temperature, samples were analyzed by flow cytometry using a Gallios Flow Cytometer (Beckman Coulter, Brea, CA, USA). Data were analyzed using Kaluza software.
Transfection
pEGFP-LC3 and ON-TARGET PLUS siRNAs specific for rat GSK-3α and GSK-3β sequences were purchased from Addgene (Cambridge, MA, USA) and Dharmacon (Lafayette, CO, USA), respectively. HCN cells were transfected with GSK-3β constructs and siRNA using Lipofectamine 2000 (Invitrogen) according to the manufacturer’s instructions. Transfection was performed in culture medium without insulin and penicillin/streptomycin. After 2 h, the transfection media was replaced with culture medium.
GFP-LC3 puncta assay
The GFP-LC3-transfected HCN cells were plated on glass coverslips in 24-well plates at a cell density of 2.0 × 10
5 cells/mL. The HCN cells were fixed in 4% paraformaldehyde (PFA) solution for 10 min at room temperature. After removal of PFA and rinsing in PBS twice, the cells were mounted on slides with Mount solution (Dako, Glostrup, Denmark) and the images of the GFP-LC3-positive cells was obtained with a confocal microscope (Cal Zeiss LSM700). The automated algorithmic quantification of the number and size of GFP-LC3 puncta was performed using the custom ImageJ macro called GFP-LC3 macro [
42]. The cut-off size of the puncta was set at 0.25 μm with the roundness values between 0 and 1.5.
Western blot analysis
The HCN cells were harvested, and lysates were prepared using lysis buffer (250 mM sucrose, 50 mM NaCl 1%, TritonX-100, 1 mM dithiothreitol, 1 mM phenylmethylsulfonyl fluoride in 20 mM Tris–HCl, pH7.2) containing 1× protease cocktail inhibitors (Pierce, Rockford, IL, USA) and 1× phosphatase cocktail inhibitors (Pierce). Protein concentration was determined by a BCA protein assay kit (Pierce). Proteins were loaded into the gel and electrotransferred to a polyvinylidene fluoride membrane with a Trans-Blot SD Semi-Dry Electrophoretic Transfer Cell (Bio-Rad, Hercules, CA, USA). Then, membranes were blocked for 1 h at room temperature in a blocking solution of 5% nonfat dry milk in 1× Tris-buffered saline with 0.1% of Tween 20. Membranes were incubated overnight with primary antibodies. Primary antibodies were used as follows: total Akt, phosphorylated Akt (serine 473), β-actin, β-catenin, Bcl-2, total GSK-3β and α, phosphorylated GSK-3β (serine 9) from Cell Signaling Technology (Danvers, MA, USA); and LC3 (Sigma-Aldrich). After washing with blocking solution, the membranes were incubated for 1 h at room temperature in blocking solution containing peroxidase-conjugated secondary antibodies. After washing the membranes, protein expression was analyzed by using a supersignal chemiluminescence detection kit (Pierce).
Lentiviral production and concentration
Lentivirus vector pLKO.1 scramble shRNA (plasmid 1864), enveloper vector pMD2.G (plasmid 12259), and packaging vector psPAX2 (plasmid 12260) were obtained from Addgene. pLKO.1 Sh-Atg7 vector (Sigma-Aldrich TRCN0000092164, TRCN0000369085) was purchased for Sigma. Lentiviruses were produced according to the manufacturer’s instruction and concentrated with polyethylene glycol 6000 (Sigma-Aldrich) after centrifugation for 30 min at 2,500 g and re-suspended in insulin-deficient medium. The HCN cells were infected for 12 h and the medium was replaced with fresh, virus-free medium. After 48 h incubation, the medium was replaced with medium containing 5 μg/ml puromycin for selection. Next day, the surviving cells were pooled for the experiment.
Statistical analysis
All data values are presented as mean ± standard deviation (SD), and were obtained by averaging the data from at least 3 independent experiments. Statistical significance was determined by the unpaired Student’s t-test or one-way analysis of variance (ANOVA) followed by Tukey’s multiple comparison tests using GraphPad Prism (GraphPad Software, San Diego, CA, USA).
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Competing interest
The authors declare that they have no competing interests.
Authors’ contributions
SWY conceived, designed and planned the study, interpreted the results, and wrote the manuscript. EKK contributed the reagents and assisted in designing the study and writing the manuscript. SWH and HYR assisted in drafting the manuscript. SWH, HYR, SHB, and KMC performed experiments and generated results. All authors read and approved the final manuscript.