Abstract
Activated protein C (APC) is a protease with anticoagulant and cell-signaling activities. In the CNS, APC and its analogs with reduced anticoagulant activity but preserved cell signaling activities, such as 3K3A-APC, exert neuroprotective, vasculoprotective, and anti-inflammatory effects. Murine APC promotes subependymal neurogenesis in rodents in vivo after ischemic and traumatic brain injury. Whether human APC can influence neuronal production from resident progenitor cells in humans is unknown. Here we show that 3K3A-APC, but not S360A-APC (an enzymatically inactive analog of APC), stimulates neuronal mitogenesis and differentiation from fetal human neural stem and progenitor cells (NPCs). The effects of 3K3A-APC on proliferation and differentiation were comparable to those obtained with fibroblast growth factor and brain-derived growth factor, respectively. Its promoting effect on neuronal differentiation was accompanied by inhibition of astroglial differentiation. In addition, 3K3A-APC exerted modest anti-apoptotic effects during neuronal production. These effects appeared to be mediated through specific protease activated receptors (PARs) and sphingosine-1-phosphate receptors (S1PRs), in that siRNA-mediated inhibition of PARs 1–4 and S1PRs 1–5 revealed that PAR1, PAR3, and S1PR1 are required for the neurogenic effects of 3K3A-APC. 3K3A-APC activated Akt, a downstream target of S1PR1, which was inhibited by S1PR1, PAR1, and PAR3 silencing. Adenoviral transduction of NPCs with a kinase-defective Akt mutant abolished the effects of 3K3A-APC on NPCs, confirming a key role of Akt activation in 3K3A-APC-mediated neurogenesis. Therefore, APC and its pharmacological analogs, by influencing PAR and S1PR signals in resident neural progenitor cells, may be potent modulators of both development and repair in the human CNS.
Introduction
Activated protein C (APC) is a serine protease with anticoagulant and cell-signaling activities (Zlokovic and Griffin, 2011). It's cell-signaling activities have been demonstrated in the heart, lung, kidney, liver, and CNS (Griffin et al., 2012). In the CNS, APC regulates various signaling pathways in the endothelium, neurons, and microglia, resulting in vasculoprotective, neuroprotective, and anti-inflammatory effects after an acute or chronic CNS injury (Zlokovic and Griffin, 2011; Zlokovic, 2011).
The stereospecific interactions of APC with blood factors Va and VIIIa involve the APC enzymatic active site region and APC residues termed exosites. Exosites can be mutated to diminish APC's anticoagulant activity without altering its cell-signaling activity (Gale et al., 2002; Mosnier et al., 2004, 2007). APC-engineered mutants such as 3K3A-APC and 5A-APC provide APC variants in which the risk of serious bleeding caused by APC's anticoagulant activity is diminished while the cytoprotective activities are preserved. In animal models of stroke (Guo et al., 2009b; Wang et al., 2009, 2012), traumatic brain injury (Walker et al., 2010), amyotrophic lateral sclerosis (Zhong et al., 2009), and bacterial sepsis (Kerschen et al., 2007), these APC variants exerted beneficial effects that were equivalent to, and sometimes greater than, the wild-type recombinant APC (wt-APC).
wt-APC and its signal-competent analogs cross the blood–brain barrier via the endothelial protein C receptor (Deane et al., 2009; Zhong et al., 2009) and exert direct neuroprotection in vivo and in vitro (Guo et al., 2004, 2009a,b; Liu et al., 2004). All APCs, including wt-APC and 3K3A-APC, act via the protease activated receptors (PARs) PAR1 and PAR3 to protect neurons from divergent sources of injury (Guo et al., 2004, 2009a, 2009b; Liu et al., 2004; Cheng et al., 2006; Wang et al., 2009). In addition to neuroprotection, murine recombinant wt-APC potentiates subependymal proliferation of neural progenitor cells (NPCs) in vivo in PAR1+/+ mice, but not PAR1−/− mice, after ischemic (Thiyagarajan et al., 2008) or traumatic (Petraglia et al., 2010) brain injury. However, whether APC's potentiation of neuronal addition to the injured brain can be translated to humans and whether APC molecules can promote differentiation of human NPCs remain elusive. In addition, APC's membrane receptors and pathway(s) mediating signal transduction in NPCs are unknown. To address these questions, we investigated whether human recombinant 3K3A-APC, an APC analog with >90% reduced anticoagulant activity under clinical assessment as a brain protection agent after acute ischemic stroke (Williams et al., 2012), can influence neurogenesis by fetal human NPCs (Wang et al., 2010). Given significant species-related differences between murine and human APC systems in terms of coagulation and cell signaling (Guo et al., 2009a), the effects of human 3K3A-APC on human NPCs cannot be automatically extrapolated from earlier in vivo work with murine wt-APC in mice (Thiyagarajan et al., 2008). In parallel studies, we used a combination of siRNA knock-down and adenoviral transduction to assess both APC's membrane receptors and the signaling pathways by which they transduce 3K3A-APC's effects in human NPCs.
Materials and Methods
Reagents.
Human recombinant 3K3A-APC, a gift from ZZ Biotech, was manufactured as described previously (Williams et al., 2012). This APC mutant carries three Ala residues that replace Lys191-Lys192-Lys193. S360A-APC, an enzymatically inactive mutant of APC that lacks cytoprotective activities, served as a negative control for some studies (Zhong et al., 2009).
For the Western blot analysis or immunostaining, the following antibodies were used: mouse monoclonal anti-human nestin antibody (1:200; catalog #MAB5326; Millipore); mouse monoclonal anti-bovine microtubule-associated protein 2 MAP2 antibody, which cross-reacts with human MAP2 (1:500; Millipore; catalog #MAB3418); mouse monoclonal anti-human β3-Tubulin (1:500, TU-20; catalog #4466; Cell Signaling Technology); mouse monoclonal anti-swine GFAP antibody, which cross-reacts with human GFAP (GA5, 1:500, catalog #3670; Cell Signaling Technology); mouse monoclonal oligodendrocyte marker O4 antibody, which detects human oligodendrocyte marker O4 (clone O4, 1:200; catalog #MAB1326; R&D Systems); rabbit polyclonal anti-human Ki-67 (1:200; catalog #AB9260; Millipore); rabbit polyclonal anti-mouse phospho-Akt (pAkt, Ser473) antibody, which cross-reacts with human pAkt (1:1000; catalog #9271; Cell Signaling Technology); rabbit polyclonal anti-mouse Akt antibody, which cross-reacts with human Akt (1:1000; catalog #9272; Cell Signaling Technology). We used the following cleavage-site-blocking anti-PAR antibodies (all from Santa Cruz Biotechnology): polyclonal rabbit against human PAR1 (H-111; catalog #sc-5605); monoclonal mouse against human PAR2 (SAM-11; catalog #sc-13504); polyclonal rabbit against human PAR3 (H-103; catalog #sc-5598). As reported, these antibodies cross-react with their corresponding mouse and human PARs (Riewald et al., 2002; Guo et al., 2004; Guo et al., 2009b).
SYTOX Green Nucleic Acid (Invitrogen) and Hoechst 33342 (Invitrogen) were used for nucleic staining. Additional reagents included: VPC 23019 (S1PR1/S1PR3 receptor antagonist; catalog #857360; Avanti Polar Lipids), LY294002 (PI3 kinase inhibitor; catalog #9901; Cell Signaling Technology). The antisense Ad.EDG1 was constructed as described previously (Schaphorst et al., 2003) and was generously provided by Dr Joe G.N. Garcia (University of Chicago, Chicago, IL). Recombinant human fibroblast growth factor-basic (bFGF; catalog #F0291) and human brain-derived neurotrophic factor (BDNF, catalog #B3795) were purchased from Sigma.
Human NPCs.
Human NPCs were obtained from the telencephalic ventricular zone (VZ)/subventricular zone (SVZ) of fetal brain tissue of either sex at 16–23 weeks gestational age within 2 h of extraction under a protocol approved by the Research Subjects Review Board of the University of Rochester Medical Center as described previously (Wang et al., 2010). Briefly, brain samples were collected into Ca/Mg-free Hank's buffered saline solution (HBSS) and dissected to separate the telencephalic VZ/SVZ from nonventricular parenchyma. The telencephalic VZ/SVZ was dissociated as described previously (Wang et al., 2010). The cells were resuspended in DMEM/F12/N2 supplemented with 20 ng/ml (1.4 nm) bFGF (Sigma) and plated in suspension culture dishes (Corning).
Cell proliferation assays.
For bromodeoxyurinidine (BrdU) incorporation assay, NPCs (passage 2) were placed on poly-l-lysine-coated 12-well plates at the density of 2 × 105 cells/well in DMEM/F12/N2 medium with or without 3K3A-APC and incubated for 48 h. BrdU (10 μm) was added to the medium for 30 min to label proliferating cells. The cells were fixed and the incorporated BrdU was measured using an ELISA kit (Roche) according to the manufacturer's instructions, as described previously (Harada et al., 2004). Briefly, after removing the labeling medium, the cells were fixed and the DNA was denatured in one step by adding FixDenat solution. After removing FixDenat, the BrdU incorporated into the newly synthesized cellular DNA was detected by the anti-BrdU-POD antibody and subsequent substrate reaction. The reaction product was quantified by using a plate reader (PerkinElmer) with a standard ELISA protocol. In these studies, 3K3A-APC was used at different concentrations (i.e., 0.5, 1, 1.5, 2, and 5 nm).
To determine the fraction of proliferating NPCs and to perform the cell-cycle analysis, NPCs were labeled with a FITC BrdU Flow Kit (catalog #559619; BD Pharmingen) following the manufacturer's instructions and then analyzed using flow cytometry (Robey et al., 1996). The percentage of proliferating BrdU+ cells stained with FITC-conjugated anti-BrdU antibody was determined by fluorescence-activated cell sorting. The DNA content of individual cells was determined by 7-amino-actinomycin D staining and fluorescence-activated cell sorting and was analyzed using ModFit LT software (Verity Software House).
To determine the number of Nestin+/Ki-67+ cells, NPCs (passage 2) were plated on poly-l-lysine-coated 6-well plates at the density of 4 × 105 per well in DMEM/F12/N2 medium with or without 3K3A-APC and incubated for 2 d. The cells were double stained for nestin and Ki-67. Images were obtained using a confocal Zeiss LSM 510 Axioscope 2 microscope. Nestin+/Ki-67+ cells were counted from 15 randomly selected (210 × 210 μm) images using ImageJ software (n = 200).
Cell migration assay.
NPC migration was determined by a modified Boyden chamber assay, as described previously (Sun et al., 2004). A 96-well cell migration kit was used (Millipore) and each well was separated into two chambers by a membrane with 20 μm pores. Human NPCs were resuspended in DMEM/F12/N2 containing 20 ng/ml bFGF and replated in suspension culture dishes for 24 h, and then medium was replaced with DMEM/F12/N2 medium without bFGF. The cells (4 × 105 cells/ml in 100 μl) were placed into the upper chamber in DMEM/F12/N2 medium with or without 3K3A-APC. After 5 h of incubation at 37°C, the migratory cells on the bottom of the insert membrane were dissociated from the membrane by incubation with cell detachment buffer. These cells were subsequently lysed and stained with CyQuantGR dye (Millipore), which exhibits strong fluorescence enhancement when bound to cellular nucleic acids. Fluorescence was measured with a fluorescence plate reader with a 480/520 nm filter set (PerkinElmer). Fluorescence intensity was used as migration index.
For the neurosphere migration assay on poly-l-ornithine-coated surface, the neurospheres (200 ± 20 μm in diameter) established with bFGF as described previously (Keyoung and Goldman, 2001; Karumbayaram et al., 2009; Wang et al., 2010) were carefully selected from passage 2 human NPCs under a light microscope (TS-100; Nikon) and transferred with transfer pipets (VWR International) to 48-well plates (5 neurospheres/well) coated with poly-l-ornithine (10 mg/ml), as described previously (Kong et al., 2008). For the neurosphere migration experiment in 3D Matrigel, the neurospheres (5/well) were mixed with 20 μl of Matrigel (BD Biosciences) and plated in 48-well plates as 3D cultures, as described previously (Durbec et al., 2008). The cells were cultured in DMEM/F12/N2 with vehicle (control), bFGF, 3K3A-APC, or S360A-APC for 16 h, and then labeled with Cell Tracker Green CMFDA (Invitrogen) for 30 min at 37°C, followed by washing with PBS and fixation with 4% paraformaldehyde.
Images of the neurospheres and migrating cells were obtained with an inverted fluorescence microscope (DMI6000B, Leica Microsystems) and analyzed with ImageJ software. Migration index was quantified as the ratio between the leading edge of radially migrating cells and the original neurosphere radius (Durbec et al., 2008). The migration index of 1 indicates that no migration was observed. An increase in the migration index by 1 indicates that cells migrated an extra distance equal to the radius of the neurosphere. For each experimental condition, 50 neurospheres were analyzed. The effects of 3K3A-APC and bFGF were compared at a concentration of 1.4 nm.
Cell differentiation assay.
Human NPCs (passage 2) were plated on poly-l-ornithine- (10 μg/ml) and laminin (10 μg/ml)-coated 6-well plates at a density of 4 × 105 per well in DMEM/F12/N2 medium with or without 3K3A-APC, BDNF, or S360A-APC at 1.4 nm, and incubated for 5 or 10 d in vitro (DIV) to allow for differentiation. Growth medium was changed every 3 d with addition of fresh medium with and without 3K3A-APC, BDNF, or S360A-APC. At 5 and 10 DIV, the cells were immunostained for the neuronal markers β3-tubulin or MAP2, the astrocyte marker GFAP, the oligodendrocyte marker O4, and Hoechst nuclear stain for the assessment of total number or percentage of each cell lineage. β3-tubulin+ or MAP2+ neurons, GFAP+ astrocytes, and O4+ oligodendrocytes were counted from 15 randomly selected (210 × 210 μm) fields for each culture condition using ImageJ software and were expressed as a percentage of the total number of cells (n = 200).
For the measurement of neurite length, a total number of 50 MAP2+ cells from each culture condition were analyzed. Total neurite length per cell was quantified by measuring the length of all neuritic processes on each cell using ImageJ software.
In some experiments, the effects of 3K3A-APC on neuronal differentiation were studied in older passage 6 NPCs under the same experimental conditions as above, and the percentage of β3-tubulin+ neurons was determined.
Detection of apoptosis.
Apoptotic cells were visualized by in situ terminal deoxynucleotidyl transferase-mediated digoxigenin-dUTP nick-end labeling (TUNEL) assay according to the manufacturer's instructions (DeadEnd Fluorometric TUNEL system; catalog #G3250; Promega). Cells were counterstained with the DNA-binding fluorescent dye Hoechst 33342 (Invitrogen) at 10 μg/ml for 10 min at room temperature to reveal nuclear morphology. The rate of apoptosis was expressed as the percentage of TUNEL+ cells for each cell type studied. The cells were counted in 10–20 random fields (n = 400, 200× magnification) by two independent observers blinded to the experimental conditions.
Silencing through RNA interference.
Small interfering RNA (siRNA) targeting human PAR1, PAR2, PAR3, and PAR4; S1PR1, S1PR2, S1PR3, S1PR4, and S1PR5; sphingosine kinase 1 (Sphk-1) and Sphk-2; and negative control siRNAs were purchased from Dharmacon. siRNAs were delivered to the human NPC using the siPORTamine system (Ambion) according to the manufacturer's instructions. After 48 h of transfection, cells were verified for target gene knock-down by Western immunoblotting analysis or replaced with fresh medium for further experiments. For the cell differentiation assay, the knock-down efficiency was assessed by quantitative PCR (CFX-96; Bio-Rad) at 2 and 5 DIV. Primers were chosen from the Primer Bank at the Massachusetts General Hospital.
Construction of Ad.AktK179A.
The kinase-inactive dominant-negative AktK179A construct (Guo et al., 2011) was cloned into a GFP-containing adenoviral vector using AdEasy XL system (Stratagene). The adenoviral product containing AktK179A was proliferated in HEK-293A cells (ATCC) and purified using the ViraKit (Virapur). The cells were transduced with adenoviral constructs (200 MOI) 24 h before performing subsequent experiments. The transduction efficiency was determined by GFP signal and Western blot analysis.
Western blot analyses.
Whole cellular extracts and nuclear protein fractions were prepared and protein concentration was determined using Bradford protein assays (Bio-Rad). A total of 10–50 μg of protein was analyzed by 10% SDS-PAGE and transferred to nitrocellulose membranes that were then blocked with 5% nonfat milk in TBS (20 mm Tris, pH 8.0, 500 mm NaCl, 0.1% Tween 20) for 1 h. The membranes were incubated overnight with primary antibodies, washed with TBS, and incubated with a horseradish-peroxidase-conjugated secondary antibody for 1 h. Immunoreactivity was detected using the ECL detection system (GE Healthcare).
Immunocytochemistry.
The cells were fixed with 4% paraformaldehyde and stained for different cell markers using the antibodies listed above. The following fluorescence-conjugated secondary antibodies were used: Alexa Fluor 488-conjugated goat anti-mouse IgG (1:150; Invitrogen) to detect nestin and MAP2; Alexa Fluor 568-conjugated goat anti-rabbit IgG (1:150, Invitrogen) to detect Ki-67; and Alexa Fluor 568-conjugated goat anti-mouse IgG (1:150; Invitrogen) to detect β3-tubulin, GFAP, and the oligodendrocyte marker O4. Images were obtained using a confocal Zeiss LSM 510 Axioscope 2 microscope or an inverted microscope (DMI6000 B; Leica Microsystems).
Statistical analysis.
Data are presented as mean ± SEM. One-way ANOVA followed by Tukey's post hoc test were used to determine statistically significant differences. p < 0.05 was considered statistically significant.
Results
In all experiments described below, the effects of human 3K3A-APC were studied in human NPCs derived from the telencephalic VZ/SVZ of fetal human brains taken from aborted fetuses at 15–22 weeks of gestational age as described previously (Wang et al., 2010).
Human 3K3A-APC stimulates human NPC proliferation
First, we determined whether human 3K3A-APC stimulated BrdU incorporation in human NPCs. Over a range of 0.5–5 nm, 3K3A-APC exerted a dose-dependent effect on BrdU incorporation based on an ELISA assay, with a maximal increase at 2 nm and an EC50 value of ∼0.8 nm (Fig. 1A).
Next, we compared the mitogenic effects of 3K3A-APC with those of bFGF, a known mitogen for human subependymal progenitor cells (Pincus et al., 1998; Dayer et al., 2007). bFGF and 3K3A-APC were studied at a concentration of 1.4 nm, which is somewhat higher than the EC50 value for 3K3A-APC determined by ELISA (Fig. 1A). Both 3K3A-APC and bFGF exerted a comparable effect on BrDU incorporation and increased the percentage of cycling cells in the S phase by 89% and 79%, respectively, within 48 h (Fig. 1B–D). In contrast, S360A-APC, an enzymatically inactive analog of APC that lacks serine protease activity and the ability to activate PAR1 (Guo et al., 2009b; Zhong et al., 2009), did not stimulate NPC proliferation compared with vehicle (Fig. 1D). Cell cycle analysis based on the DNA content (7-amino-actinomycin D) confirmed that the percentage of NPCs in the S phase was essentially doubled by 3K3A-APC or bFGF (Fig. 1E).
Double immunostaining for nestin, a marker of undifferentiated NPCs, and Ki-67, a marker of cells undergoing mitosis (Breunig et al., 2007), confirmed that the number of nestin+/Ki-67+ NPCs increased significantly in response to 3K3A-APC (1.4 nm), but not to the enzymatically inactive S360A-APC (Fig. 1F,G). The number of TUNEL+ cells in a control group treated with the medium only (control) was very low (i.e., 3.6 ± 1.1%) and was not affected by bFGF or S360A-APC. 3K3A-APC exerted a modest anti-apoptotic effect, as determined by the reduction of TUNEL+/Hoechst+ cells from 3.6 ± 1.1% to 1.1 ± 0.8% (Fig. 1G). At earlier time points (12 h), the number of TUNEL+ cells was negligible (<3%) in all studied groups and was not significantly affected by either bFGF or 3K3A-APC. These experiments show that 3K3A-APC exerts a significant proliferative effect on human NPCs and that APC's enzymatic activity is needed for its effect on NPC proliferation.
Human 3K3A-APC induces human NPCs migration
A Boyden chamber assay was used to determine the migration of NPCs in the presence or absence of bFGF, 3K3A-APC, and S360A-APC at 1.4 nm. bFGF and 3K3A-APC, but not S360A-APC, approximately doubled the migration index of NPCs compared with vehicle (Fig. 2A). We next examined the effects of 3K3A-APC on NPCs migration using the neurosphere migration assays on poly-l-ornithine-coated surface and in 3D Matrigel. In these assays, individual NPCs migrate radially away from the plated sphere, forming a rim of migrant cells around the sphere. bFGF, 3K3A-APC, and S360A-APC at 1.4 nm had no significant effect on the size of the spheres, as quantified by the neurosphere diameters within 16 h of plating (Fig. 2C,E). However, both bFGF and 3K3A-APC, but not S360A-APC, at 1.4 nm significantly enhanced the migration of NPCs and increased the migration index compared with controls by 1.2 and 1.3 on a poly-l-ornithine-coated surface and 0.9 and 1.0 in 3D Matrigel, respectively, within 16 h after plating (Fig. 2D,F).
Human 3K3A-APC promotes differentiation of human NPCs
NPCs were allowed to differentiate for 5 and 10 DIV in the presence or absence of BDNF, a growth factor known to strongly potentiate the maturation and survival of new neurons (Kirschenbaum and Goldman, 1995; Silva et al., 2009). To assess the relative effects of BDNF and 3K3A-APC on neuronal differentiation and maturation, first we determined the number of β3-tubulin+/Hoechst+ neuron-like cells (Breunig et al., 2007) and showed that BDNF and 3K3A-APC increased similarly the number of β3-tubulin+ cells (by 2.1- and 2.3-fold at 5 DIV and by 2.3- and 2.7-fold at 10 DIV, respectively; Fig. 3A,B). Using MAP2 as a second marker of neuronal differentiation (Breunig et al., 2007), we confirmed that 3K3A-APC, but not S360A-APC, increased significantly (by 3.1-fold) the number of MAP2+/Hoechst+ cells (Fig. 3C,D), as well as their neuritic outgrowth (Fig. 3E,F). At 5 DIV, there was 10.3 ± 4.3% TUNEL+/β-tubulin+ cells in the presence of medium only (control), indicating a moderate rate of spontaneous apoptosis under control conditions (Fig. 3G,H). BDNF and S360A-APC did not reduce the number of apopototic TUNEL+/β-tubulin+ cells; in contrast, 3K3A-APC reduced the number of apoptotic cells from 10.3 ± 4.3% to 3.0 ± 2.1% (Fig. 3G,H), which is consistent with its well known anti-apoptotic effects (Zlokovic and Griffin, 2011; Griffin et al., 2012). At 10 DIV, the rate of apoptosis was low in all groups (<4%); no statistical differences were observed by altering the experimental conditions. These data suggest that under the present experimental conditions at 5 and 10 DIV, 3K3A-APC exerts a major effect on neuronal differentiation compared with its cell survival effect.
In contrast to significant effects of 3K3A-APC on neuronal differentiation of human NPCs at 5 and 10 DIV (Fig. 3), the percentage of β3-tubulin+/Hoechst+ cells at 2 DIV in the presence of vehicle, 3K3A-APC, S360A-APC, and bFGF did not differ significantly and was relatively low (i.e., 6.9 ± 0.7%, 7.8 ± 1.2%, 6.6 ± 1.0%, and 5.9 ± 0.6%, respectively, mean ± SEM, n = 3 independent cultures; measurements in each culture were done in triplicate). The data indicate that neither 3K3A-APC nor bFGF had a significant effect on neuronal differentiation at an early stage at 2 DIV.
At 5 DIV, 3K3A-APC, but not S360A-APC or BDNF, inhibited potently the development of the GFAP+ astrocyte lineage (Fig. 4A,B). At 10 DIV, both 3K3A-APC and BDNF exhibited strong inhibitory effect on astrocyte differentiation. 3K3A-APC reduced the number of apoptotic GFAP+ cells (Fig. 4C). The magnitude of 3K3A-APC's anti-apoptotic effect was substantially less pronounced than its inhibitory effect on astrocyte differentiation. 3K3A-APC, but not S360A-APC or BDNF, inhibited the development of the O4 oligodendrocyte lineage at 10 DIV (Fig. 4D,E). The O4+ cell population represented a minor fraction of differentiated cells in the present assay. None of the studied proteins affected apoptosis of O4+ cells (Fig. 4F). These experiments suggest that 3K3A-APC promotes differentiation and neuritogenesis by human NPCs and inhibits the development of astrocyte and oligodendrocyte lineages.
Human 3K3A-APC's proneurogenic effects in human NPCs require PAR1, PAR3, and S1PR1
In the present study, we have demonstrated (Figs. 1, 2, 3) that APC's enzymatic activity is required for 3K3A-APC proneurogenic activity, suggesting an involvement of the PARs in transducing the 3K3A-APC signal. To investigate whether PARs indeed mediate 3K3A-APC's effects on NPCs, we used siRNA to selectively and individually knock down the expression of each of the PARs (each achieving ∼80–90% inhibition within 48 h; Fig. 5A,B), and used the resultant knock-down cell populations to assess the effects of 3K3A-APC on BrdU incorporation and Boyden chamber migration at 2 DIV and neuronal differentiation by NPCs at 5 DIV. We found that PAR1 and PAR3 siRNAs, but not those targeting PAR2, PAR4, or control siRNA, abolished 3K3A-APC effects on each of these end points (Fig. 5C–E). We then corroborated these findings using cleavage-site-blocking PAR antibodies (Guo et al., 2009b), which inhibit the action of the respective PARs. As depicted in Figure 5F–H, 3K3A-APC-mediated neuronal mitogenesis and differentiation was inhibited by PAR1- and PAR3-specific antibodies, but not by anti-PAR2, confirming that 3K3A-APC promotes neurogenesis from NPCs via PAR1 and PAR3.
APC has been shown to strengthen endothelial barriers via PAR1-mediated activation of sphingosine kinase 1 (Sphk-1), which generates sphingosine-1-phosphate (S1P), a biologically active sphingolipid that signals via S1P receptors (Feistritzer and Riewald, 2005; Finigan et al., 2005). All five S1P receptor subtypes, S1PR1, S1PR2, S1PR3, S1PR4, and S1PR5, are expressed in NPCs (Harada et al., 2004). Activation of S1PR1 has been shown to stimulate the proliferation and migration of NPCs (Kimura et al., 2007). To address whether S1P receptors participate in 3K3A-APC-mediated neurogenesis by human NPCs, we inhibited each of the five S1P receptors by siRNA silencing (each achieving 75–90% inhibition within 48 h; Fig. 6A,B). We then studied the effects of 3K3A-APC on BrdU incorporation in the S1PR knock-down NPCs and on the differentiation of NPCs into β3-tubulin+ cells using the same experimental conditions that we had used in untransduced NPCs. We found that S1PR1 inhibition, but not S1PR2, S1PR3, S1PR4, and S1PR5 or control siRNA, abrogated 3K3A-APC's effects on NPC proliferation and differentiation (Fig. 6C–E). These data indicate that S1PR1 activation is required for 3K3A-APC's effects on NPCs. In support of these findings, we next showed that VPC 239019, a chemical antagonist of S1PR1 and S1PR3 (Davis et al., 2005), and Ad.asEDG1, an adenoviral vector expressing the antisense oligonucleotide directed against S1PR1, both abolished 3K3A-APC's effects on NPCs (Fig. 6F–H). These data thus confirmed that S1PR1 is required for 3K3A-APC-mediated support of neural progenitor mitogenesis and neuronal differentiation.
Human 3K3A-APC activates the PI3K/Akt pathway, which requires PAR1, PAR3, and S1PR1
Activation of S1PR1 leads to PI3K/Akt signaling (Morales-Ruiz et al., 2001), which has been shown to be involved in the proliferation, differentiation, and survival of NPCs (Wang et al., 2005; Otaegi et al., 2006; Peltier et al., 2007). To investigate whether 3K3A-APC exerts its effects on NPCs through S1PR1-initiated PI3K/Akt signaling, we first examined the direct effect of 3K3A-APC on Akt phosphorylation. Treatment of NPCs with 3K3A-APC, but not S360A-APC, increased phosphorylated-Akt levels by 2.4-fold relative to vehicle-treated controls when assessed at 3 h (Fig. 7A). LY294002, a PI3K inhibitor, blocked 3K3A-APC-mediated phosphorylation of Akt (Fig. 7A).
Inhibition of PAR1 and PAR3 by siRNA silencing, but not that of either PAR2 or PAR4 (data not shown) or of a control siRNA, blocked 3K3A-APC-induced Akt phosphorylation (Fig. 7B). Similarly, silencing of S1PR1, but not S1PR2, S1PR3, S1PR4, S1PR5, or control siRNA, blocked 3K3A-APC-induced Akt phosphorylation (Fig. 7C). In addition, siRNA inhibition of Sphk-1, but not Sphk-2 (Fig. 7D,E), also blocked 3K3A-APC-induced Akt phosphorylation (Fig. 7D). These experiments demonstrated that Akt activation by 3K3A-APC in NPCs requires PAR1, PAR3, and the activation of S1PR1.
To confirm that Akt activation plays a key role in 3K3A-APC-mediated neuronal production, NPC cultures were transduced with a recombinant adenovirus expressing a kinase-defective dominant-negative Akt mutant (Ad.Aktk179; Guo et al., 2011) or GFP. The transduction efficiency was ∼70% as determined by GFP fluorescence (data not shown). Ad.Aktk179A, but not control Ad.GFP, blocked the 3K3A-APC-associated increment of neuronal production (Fig. 7F–H), suggesting that 3K3A-APC-mediated neuronal production requires Akt-mediated signaling.
The neurogenic potential of NPCs in culture may vary with age or passage and “young,” lower passage NPCs are more neurogenic than the “old,” higher passage NPCs (Okada et al., 2008, Wang et al., 2010; Sakayori et al., 2011). To address whether 3K3A-APC exerts the neurogenic potential in older passage NPCs, we compared the effects of 3K3A-APC on neuronal differentiation in passage 2 and passage 6 NPCs. As shown in Figure 7H, passage 6 NPCs at 10 DIV generated fewer neurons than passage 2 NPCs (i.e., 7.3 ± 0.8% compared with 10.8 ± 2.3%, p < 0.05), which is consistent with previous reports. However, 3K3A-APC had a comparable effect on neuronal differentiation in passage 2 and 6 NPCs, as indicated by the similar 2.1-fold and 2.0-fold increases in the number of β3-tubulin+ neurons, respectively. The 3K3A-APC effect in passage 6 NPCs was inhibited by the kinase-deficient dominant-negative Akt mutant (Ad.Aktk179). These data suggest that 3K3A-APC can promote neuronal differentiation in higher-passage human NPCs by modulating the Akt pathway.
Discussion
This study demonstrates that 3K3A-APC enhances neuronal production preferentially by primary human NPCs derived from fetal human SVZ. We also show that 3K3A-APC inhibits the development of astrocyte and oligodendrocyte lineages from human NPCs. 3K3A-APC's proneurogenic effects are similar to these of BDNF, which has been shown to promote neuronal differentiation of cultured NPCs (Goldman et al., 1997) while suppressing astrocyte differentiation (Nakamura et al., 2011). Because inflammatory mediators after CNS injury or diseases and NPCs transplantation promote astrogliosis but inhibit neurogenesis (Sahni and Kessler, 2010; Robel et al., 2011), the promoting effect on neuronal differentiation but inhibiting effect on astroglial differentiation and inflammation by 3K3A-APC would favorably support a 3K3A-APC-related clinical trial for CNS repair.
Our siRNA studies revealed that human recombinant 3K3A-APC-mediated neuronal production by human NPCs requires the PAR1, PAR3, and S1PR1 transmembrane receptors. Multiple studies have demonstrated that the beneficial effects of APC require PAR1 in most cell types (Zlokovic and Griffin, 2011), whereas its effects in murine neurons require PAR1 and PAR3 cooperation (Guo et al., 2004; Liu et al., 2004; Guo et al., 2009b; Zhong et al., 2009). In primary human endothelial cells derived from umbilical vein or pulmonary artery, human wild-type APC has been shown to transactivate S1PR1 via ECPR and PAR1, which in turn activates Sphk-1, leading to cytoskeletal rearrangements and enhancement of endothelial barriers (Feistritzer and Riewald, 2005; Finigan et al., 2005). Conversely, activation of S1PR1 has been shown to induce proliferation, migration, and morphological changes in NPCs (Harada et al., 2004; Kimura et al., 2007). The present study shows that PAR1 and PAR3 inhibition, as well as Sphk-1 and S1PR1 inhibition by siRNA silencing, blocks 3K3A-APC-mediated neurogenesis, thus implying that PAR1 and PAR3 might cross-activate S1PR1, which is required for 3K3A-APC's neurogenic effects.
S1PR1 activation results in PI3K/Akt signaling, which has been found to regulate the proliferation, survival, and differentiation of NPCs (Wang et al., 2005; Otaegi et al., 2006; Peltier et al., 2007). In the present study, we show that inhibition of S1PR1 and Sphk-1 results in loss of 3K3A-APC-mediated activation of Akt, confirming the importance of S1PR1 activation for APC's actions. In addition, inhibition of PAR1 and PAR3 also resulted in loss of Akt activation by 3K3A-APC, further suggesting that cooperation of PAR1 and PAR3 after 3K3A-APC stimulation might be required for S1PR1 transactivation in NPCs, similar to results shown in endothelial cells for endothelial protein C receptor and PAR1 (Feistritzer and Riewald, 2005; Finigan et al., 2005). That Akt is a key signal intermediate for 3K3A-APC-induced neuronal mitogenesis and differentiation has been demonstrated by the loss of 3K3A-APC's effects in NPCs transfected with a kinase-inactive dominant-negative Akt mutant.
Our data suggest that APC supports different stages during neuronal production from human fetal NPCs, including proliferation of NPCs, migration of differentiating NPCs/neuroblasts, and differentiation of NPCs to neuronal cells. However, the exact intracellular signal transduction cascade(s) downstream to Akt that mediate 3K3A-APC effects during different stages of neurogenesis remain elusive and should be investigated by future studies. For example, Akt activation has been shown to inactivate glycogen synthase kinase 3β (Cross et al., 1995), allowing nuclear translocation of β-catenin, which in turn may promote the mitotic expansion of NPCs (Hirabayashi et al., 2004; Mao et al., 2009). In addition, phosphorylation of the mammalian target of rapamycin by Akt has been shown to regulate neuronal development and differentiation, dendritic growth and branching in particular (Jossin and Goffinet, 2007; Saxe et al., 2007; Kim et al., 2009). Whether APC treatment can activate these downstream Akt pathways and/or trigger the additional Akt downstream pathways that are required for different stages of neurogenesis is presently unknown.
Apoptosis of newborn neurons during both neurodevelopment and adult neurogenesis has been demonstrated repeatedly (Sierra et al., 2010; Kim and Sun, 2011). Consistent with its well demonstrated anti-apoptotic effects in different cell types, including neurons (Zlokovic and Griffin, 2011), 3K3A-APC exerted modest anti-apoptotic effects during neuronal mitogenesis and differentiation. The magnitude of 3K3A-APC's cell-protective effects in the present assays was substantially lower compared with its effects on neuronal production. It is possible, however, that in vivo 3K3A-APC anti-apoptotic effects might contribute importantly to enhancing the survival of transplanted NPCs, which will further amplify 3K3A-APC-mediated neuronal production. Determining the effects of 3K3A-APC on apoptosis versus proliferation, migration, and differentiation of human NPCs in an animal model of injury (e.g., ischemic stroke) should be pursued by future studies. However, these in vivo studies are beyond the scope of the present study, which provides the kinds of novel mechanistic insights relevant to 3K3A-APC therapy and human NPCs.
Our results support that APC therapy for neuroregeneration could have a translational potential in humans, encouraging further studies to establish the relevance of the APC cascade for embryonic and adult neurogenesis in vivo. For example, APC treatment might find potential applications in brain developmental disorders such as some forms of human developmental microcephaly associated with abnormalities in cellular production and brain failure to generate the proper number of neurons that determine brain size. Moreover, some neurodegenerative disorders of the aging brain, such as Alzheimer's disease and Parkinson's disease, might potentially benefit from pharmacologically enhanced neurogenesis by APC, particularly as the cell-signaling APC analogs can cross the blood–brain barrier (Deane et al., 2009) and exert potent beneficial effects within the neurovascular unit (e.g., direct neuronal and vascular protection and anti-inflammatory activity; Zlokovic and Griffin, 2011; Zlokovic, 2011) that will support neurogenesis and survival of newly born neurons. In addition, the present results suggest that APC-based monotherapy might enhance postischemic and posttraumatic subependymal neurogenesis in humans similarly to that reported in rodent models of stroke (Thiyagarajan et al., 2008) or traumatic (Petraglia et al., 2010) brain injury. Finally, the APC approach could also enhance cell therapy with exogenous human NPCs that may be of interest for several ongoing clinical trials with exogenous NPCs for stroke (clinical trial identifier NCT01287936, SanBio), spinal cord injury (clinical trial identifier NCT01321333, StemCells), and/or neurological disorders such as Parkinson's disease (clinical trial identifier NCT01329926, NeuroGeneration).
In summary, these experiments indicate that APC signaling, as triggered here by its recombinant analog 3K3A-APC, promotes neuronal production and differentiation specifically by human NPCs via PAR1-PAR3-S1PR1-Akt-mediated signaling. The proneurogenic effects of 3K3A-APC shown here in human NPCs suggest the potential for APC-based clinical therapeutics for both development and repair in the human CNS.
Footnotes
This work was supported by the National Institutes of Health (Grant #HL63290 to B.Z., Grant #HL52246 to J.H.G., and Grants #R01NS75345 to R01NS39559 to S.G.), as well as by the New York Stem Cell Research Board. We thank Dr. Robert Freeman (University of Rochester Medical Center, Rochester, NY) for providing the Ad.AktK179A construct, Dr. Joe G.N. Garcia (University of Chicago, Chicago, IL) for providing the Ad.EDG1 construct, and Dr. Abhay Sagare and Theresa Barrett for technical help and discussion. The flow cytometry study and cell cycle analysis were performed at the University of Southern California Broad California Institute of Restorative Medicine Center Flow Cytometry Core Facility, which is supported by the National Cancer Institute Cancer Center Shared Grant 5P30 CA014089 and the University of Southern California Provost Funds.
B.V.Z. is the scientific founder of ZZ Biotech, a biotechnology company with a focus on developing APC and its functional mutants for stroke and other neurological disorders. T.P.D. and J.H.G. are members of the Scientific Advisory Board of ZZ Biotech. The remaining authors declare no competing financial interests.
- Correspondence should be addressed to Berislav V. Zlokovic, MD, PhD, Zilkha Neurogenetic Institute, Room 101, Keck School of Medicine, University of Southern California, 1501 San Pablo Street, Los Angeles, CA 90089. zlokovic{at}usc.edu