Original Article

Subject Category: Neuroscience

Citation: Cell Death and Disease (2013) 4, e902; doi:10.1038/cddis.2013.431
Published online 31 October 2013

Excitotoxic cell death induces delayed proliferation of endogenous neuroprogenitor cells in organotypic slice cultures of the rat spinal cord
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G L Mazzone1, M Mladinic1,2,3 and A Nistri1,2

  1. 1Department of Neuroscience, International School for Advanced Studies (SISSA), Trieste, Italy
  2. 2SPINAL (Spinal Person Injury Neurorehabilitation Applied Laboratory), Istituto di Medicina Fisica e Riabilitazione, Udine, Italy
  3. 3Department of Biotechnology, University of Rijeka, Rijeka, Croatia

Correspondence: A Nistri, Department of Neuroscience, International School for Advanced Studies (SISSA), Via Bonomea 265, Trieste 34136, Italy. Tel: +39 040 3787718; Fax: +39 040 3787702; E-mail: nistri@sissa.it

Received 3 September 2013; Revised 26 September 2013; Accepted 27 September 2013

Edited by A Verkhratsky

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Abstract

The aim of the present report was to investigate whether, in the mammalian spinal cord, cell death induced by transient excitotoxic stress could trigger activation and proliferation of endogenous neuroprogenitor cells as a potential source of a lesion repair process and the underlying time course. Because it is difficult to address these issues in vivo, we used a validated model of spinal injury based on rat organotypic slice cultures that retain the fundamental tissue cytoarchitecture and replicate the main characteristics of experimental damage to the whole spinal cord. Excitotoxicity evoked by 1h kainate application produced delayed neuronal death (40%) peaking after 1 day without further losses or destruction of white matter cells for up to 2 weeks. After 10 days, cultures released a significantly larger concentration of endogenous glutamate, suggesting functional network plasticity. Indeed, after 1 week the total number of cells had returned to untreated control level, indicating substantial cell proliferation. Activation of progenitor cells started early as they spread outside the central area, and persisted for 2 weeks. Although expression of the neuronal progenitor phenotype was observed at day 3, peaked at 1 week and tapered off at 2 weeks, very few cells matured to neurons. Astroglia precursors started proliferating later and matured at 2 weeks. These data show insult-related proliferation of endogenous spinal neuroprogenitors over a relatively brief time course, and delineate a narrow temporal window for future experimental attempts to drive neuronal maturation and for identifying the factors regulating this process.

Keywords:

glial precursor; neuronal precursor; stem cells; kainic acid; spinal cord injury

Abbreviations:

ANOVA, analysis of variance; AU, arbitrary unit; BrdU, bromodeoxyuridine; DAPI, 4′,6-diamidino-2-phenylindole; DCX, double courting; DIV, days in vitro; DME/HIGH, Dulbecco’s modified Eagle’s medium high glucose; EdU, 5-ethynyl-20-deoxyuridine; FCS, fetal calf serum; GS, glutamine synthetase; Iba1, ionized calcium-binding adapter molecule 1; PBS, phosphate-buffered saline; NeuN, neuronal-specific nuclear protein; NGF, nerve growth factor; Ki67, proliferation marker antigen identified by the monoclonal antibody Ki67; S100, astroglial calcium-binding protein S100B; SCI, spinal cord injury; SEM, standard error of the mean

The majority of new spinal cord injury (SCI) cases show a mismatch between moderate neuronal cell death and severity of chronic symptoms like paralysis with sensory and autonomic dysfunction.1, 2 As neuronal cell losses are limited, restorative strategies with stem and progenitor cells are under investigation for tissue repair and recovery in neonatal and adult SCI.3, 4, 5 Major goals to understand how to repair the spinal cord tissue are clarification of the duration of the secondary lesion process and whether certain intrinsic cells may proliferate to compensate for damage and to obtain functional improvement.3 One of the early principal contributors to the lesional process is excitotoxicity due to excessive release of the excitatory transmitter glutamate6, 7 that triggers a series of complex biochemical processes further amplifying the damage (secondary lesion).8, 9

The adult spinal cord is derived from the caudal neural tube, which is initially composed of heterogeneous neuroepithelial cells surrounding a central lumen with distinct proliferative and differentiation potential.10 Although in a few regions of the adult mammalian brain, neurogenesis from multipotent progenitor cells occurs throughout life,11 in the spinal cord this phenomenon is restricted to the area around the central canal and is rarely observed in the parenchyma.12 A recent study has shown that, in the adult mouse spinal cord, progenitors make up a small population comprising ependymal, astrocytic and oligodendrocytic lineages.13 The question then arises about the role that spinal progenitor cells may have in attempting damage repair after SCI. In the normal adult mouse, only ependymal cells show stem cell properties and multineage potential, although none of them is reported to finally evolve into a neuronal phenotype, as most display an oligodendrocytic profile.13 In the rat spinal cord, progenitors can proliferate to neurosphere-forming cells that, when grown in vitro, they can be transformed into neurons and glia.14 Although stem cells from embryonic and adult nervous systems appear similar in their differentiation process,15 it is unclear whether, after experimental SCI, progenitor cells intrinsic to the spinal tissue can mature to neurons and glia and replace lost cells. It is difficult to study these questions with in vivo animal models that allow only limited experimental access to the lesion evolution at serial time points after an acute SCI always produced, for ethical reasons, under general anesthesia that might partially constrain damage severity. To partially circumvent these problems, organotypic spinal cultures, that retain the basic spinal cytoarchitecture, have been used as an in vitro model of acute SCI induced by transient excitotoxicity with consequent moderate loss of neurons, minimal glial damage and strong impairment in endogenous glutamate release 24h later.16, 17 The short duration of excitotoxic stress is suggested to mimic the timeframe of clinical injuries usually treated with minimal delay in intensive care to restore metabolic dysfunction. The aims of the present study were to assess: (1) how long cell death continued beyond the first 24h; (2) whether any intrinsic progenitor cells could proliferate in response to excitotoxicity; (3) what their fate could be; and (4) whether they might restore the network ability to release the main excitatory transmitter glutamate essential for locomotor network function.18

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Results

Endogenous release of glutamate following excitotoxicity

Previous experiments have indicated that kainate not only induces delayed excitotoxic cell death but is also a potent tool to evoke the release of endogenous glutamate (assessed with a real-time electrochemical assay) that is a useful, simple index of spinal network activity in culture.19 In the present study, we compared the glutamate releasing ability by 100μM kainate on long-term cultures that had been previously treated with the same kainate concentration versus naïve cultures (see protocol in Supplementary Figure S1a). Figure 1a shows that, on average (n=8 cultures), the releasing effect of 100μM kainate on formerly (240h) treated cultures was very large with a time course characterized by an early peak and a slow decline to baseline. On the basis of the calibration tests, the peak current amplitude corresponded to 14.87±5.67μM extracellular glutamate (P=0.043 versus naïve cultures). In contrast, average release of glutamate from naive cultures (n=7) kept for equivalent time in vitro (240h) was very similar to the one observed at the normal start of the experiments (22 days in vitro, DIV) and amounted to an estimated 3.02±1.47μM concentration of glutamate. As these observations suggested spinal network plasticity (in analogy to the one developing in the human spinal cord),20 we further investigated the cell population at various times after the initial excitotoxic stimulus.

Figure 1.
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Glutamate release induced by kainate (KA) application on long-term cultures. (a) Average profile of endogenous glutamate release from slices exposed to 100μM kainate (applied within arrows) in control condition (treated only once at 32 DIV; black trace; n=7) and after a second KA application after the former KA treatment (KA+KA; gray trace; n=8). The ordinate shows the redox current continuously monitored throughout the experiment with the glutamate biosensor in basic solution. Note the strong current response from on long-term cultures that had been previously treated (KA+KA) versus control cultures. (b) Histograms showing the mean peak current obtained for different slices following KA application for 1h at 22 DIV (n=4) and at 32 DIV in KA+KA (n=8) or control condition (n=7). *P<0.05 versus controls

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Time-dependent distribution of the neuronal loss

In all three slice regions, kainate significantly increased the occurrence of pyknotic nuclei (observed with 4′,6-diamidino-2-phenylindole (DAPI) staining), a process already detectable at the end of 1h application of kainate and intensified 24h later despite intensive washout.17 Nevertheless, from the peak toxic effect observed 24h after washout, the percent of pyknotic cells was gradually reduced in all three regions over the next 48–72h (Figures 2a and b, gray and hatched bars). When pyknotic cells data from the three regions were pooled, the occurrence of pyknosis at 72h after excitotoxic stimulation was as low as in the untreated controls and did not change even at longer time (336h) in culture (Figure 2c). Together with the observation that cell death had stopped by 72h, there was, unexpectedly, a rebound in the total number of surviving cells (measured as non-pyknotic DAPI-positive elements) that was similar to the value of untreated controls (316±30 versus 344±27, respectively, n=5 slices for each protocol). Even at 192h after kainate, surviving cells were as many as in untreated-matched cultures (370±29 versus 365±22, respectively; n=6–7 slices for each protocol).

Figure 2.
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Cell losses evoked by kainate in long-term cultures. (a) Examples of DAPI nuclear staining for the central region in control condition, or after 24 or 72h washout of kainate (KA; 100μM for 1h). White dots indicate pyknotic nuclei. (b) Increased occurrence of cells with pyknotic nucleus after KA application in three slice regions, with maximum effect after 24h and a gradual reduction over the next 48–72h (n=8–14 slices, from seven different experiments). Data are referred to the total number of DAPI-stained cells. (c) Plots showing the mean percent value for pyknotic cells in cryostat-cut sections during washout after KA application (n=5–7 slices, from at least three different experiments). (d) Histograms showing the number of NeuN-positive cells counted before KA application (control) and 24, 48 and 72h after kainate washout in three slice regions (n=5–6 slices, from at least four different experiments). *P<0.05 versus controls

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The number of neurons, identified because of their NeuN (neuronal-specific nuclear protein) nuclear positivity, fell 24h after kainate application17 and remained stable thereafter (Figure 2d). Our data, thus, suggested that the incidence of neuronal loss in three spinal regions did not increase beyond 24h as the number of surviving neurons remained constantly low. Nevertheless, because of the global number of cells eventually became similar to the one in control conditions, it seemed likely that excitotoxicity had elicited delayed cell proliferation in response to the initial damage.

Cell proliferation induced by kainate

This phenomenon was estimated by counting the number of Ki67 (proliferation marker antigen Ki67) positive nuclei, a validated marker expressed during all phases of the cell cycle (G1, S, G2 and M, and absent in G0).21 Figures 3a and b demonstrates that, 72 h after kainate, a significant increase in the number of Ki67-positive nuclei appeared in the three spinal regions. To further evaluate the number of dividing cells, we used the assay based on 5-ethynyl-20-deoxyuridine (EdU) incorporation into the DNA (see Materials and Methods). EdU was applied simultaneously with kainate (or to sham cultures) and maintained in culture for the following 24h (see protocol scheme in Supplementary Figure S2a). In untreated controls at 72h, only a few EdU-positive cells were observed (Figure 3c) and were localized to the region of the ventral fissure. At the same time point (Figure 3d), kainate treatment significantly increased the number of EdU-positive cells (over the global DAPI-positive population) that had a scattered distribution (Figure 3c, right). One week later (192h), EdU-positive cells were even more numerous particularly after kainate treatment (Figure 3d).Validation of these results was obtained by observing also bromodeoxyuridine (BrdU) incorporation into the DNA of dividing cells (see protocol in Supplementary Figure S2b) at 72h in analogy with the data obtained with the EdU method (Figure 3e). Globally, these results suggest that transient kainate application enhanced delayed and sustained cell proliferation in the spinal cord organotypic culture and prompted us to characterize the new cell types.

Figure 3.
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Cell proliferation induced by kainate on long-term cultures. (a) Examples of Ki67 staining (red) and DAPI-positive cells (blue) in the central region 72h after kainate application. (b) Histograms showing the percent value of Ki67-positive cells over total number of cells. Ki67-positive cells were significantly increased in all three spinal cord regions (n=8–10 slices, from four different experiments, *P<0.05 versus control). (c) Representative EdU-stained cells (green) in control condition (left). Hoechst-positive cells are shown in blue. Note clustering of EdU-positive cells at the central fissure. Right, 72h after kainate application (KA; 100μM for 1h), EdU-positive cells show scattered distribution. (d) Histograms show the percent number of EdU-positive cells over total number of cells after 72h kainate wash or control (n=5 slices, from two different experiments, *P=0.0016 versus control at 72h; *P=0.008 versus control at 192h). (e) Histograms show the percent number of BrdU-positive cells over total number of cells after 72h of kainate washout (n=3–5 slices, from two different experiments, *P<0.05 versus control)

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Glial phenotypes observed after kainate treatment

Figure 4a (left) and b shows that, at 72h, in control conditions nearly half of the relatively small number of EdU-positive cells were also S100 (astroglial calcium-binding protein S100B) positive, a cytoplasmic Ca2+ binding protein strongly expressed by astrocytes.22 Seventy-two hours after kainate treatment (Figure 4a (right) and b), despite the larger number of EdU-positive cells, the number of astrocytes that were EdU-positive remained as low as control (see also Figure 4b). Although a significant increase in S100 cytoplasmic immunoreactivity signal was observed 72h after kainate (Figure 4d), no change was detected in immunoreactivity for vimentin (Supplementary Figures S3a and b) used as a marker for progenitor cells.23 When glutamine synthetase (GS), a standard cytoplasmic marker for astrocytes in the brain and spinal cord,24, 25 was analyzed, no statistically significant change in immunoreactivity was observed 72 h after kainate (Supplementary Figures S3c and d). Two weeks after kainate (336h), the number of EdU-positive cells that co-expressed S100 (Figures 4a and c) significantly grew with respect to sham controls, indicating delayed proliferation of S100-positive cells, whereas the S100 immunoreactivity signal was analogous to untreated controls (Figure 4e). This observations support the dissociation between the number of lately proliferating astrocytes and the S100 signal strength.

Figure 4.
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Glial cell proliferation after kainate treatment. (a) Examples of images showing EdU (green), S100 (red) and Hoechst-positive (blue) cells after 72 or 336h washout of kainate. (b and c) Histograms indicate the number of EdU-positive cells that also are stained for S100 at 72h (b, n=3 slices, from two different experiments, *P=0.031 versus control) or 336h (c, n=5 slices, from two different experiments, *P<0.05 versus control) after kainate or in control condition. Note delayed glial proliferation indicated by late increment in EdU-positive and S100-stained cells. (d and e) Histograms show increase in S100 mean fluorescence intensity (arbitrary unit, AU), expressed as percent of control, at 72h (d, n=3–6 slices, from two different experiments, *P=0.003 versus control) or 336h (e, n=5 slices, from two different experiments) after kainate. Note increased S100 signal in KA-treated slices at 72h but not 336h after kainate

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Using Iba1 (ionized calcium-binding adapter molecule 1) as biomarker for microglia,26 there was no significant change in the number of Iba1-positive cells after 72h from kainate washout, as they remained a rather small fraction of the slice population22 as shown in Figures 5a and b. However, we observed a morphological change in microglia 24h after kainate because a significant increase in the number of microglial branches and endpoints was observed (Figures 5c and d).27

Figure 5.
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Examples of immmunohistochemical staining showing Iba1 (a, red) and DAPI-positive (blue) cells 72h after washout of kainate or in control. (b) Histograms showing the average number of Iba1-positive cells counted before kainate application (control) or 72h after kainate wash. Note the relative low number of Iba1-positive cells (in accordance with our former study22). Morphological characterization of microglia was done with the skeleton method.27 (c) Quantification of Iba1 morphology shows increase in the number of branches and end points, without alteration of the maximum branch length (*P<0.05 versus control)

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Neuronal phenotype after kainate treatment

Developing neurons are typically identified by the biomarker double courting (DCX), a cytoplasmic protein that regulates microtubule dynamics and processes involved in neuronal migration and fiber outgrowth, and that first appears at 10.5 embryonic day.28 Once neuronal migration and maturation are complete, DCX expression is strongly reduced and neurons are conventionally identified by the nuclear marker NeuN.29 At 72, 192 and 336h after kainate (Figures 6a–d), a minority of EdU-positive cells also expressed DCX, reaching a maximum at 192h, and tapering off at 336h (Figures 6b–d). At the time (192h) of the largest expression of DCX-positive cells, the average number of neurons was 170±13 in control and 84±10 after kainate (n=8 slices), that is, values similar to those found at 24–72h (Figure 2), suggesting that there had been no concomitant change in the global neuronal population. Thus, after the excitotoxic stimulus, a few proliferating progenitor cells showed their potential to mature into neurons within a limited time window.

Figure 6.
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DCX-expressing cells indicate potential neurogenesis after kainate application. (a) Examples of EdU (green), DCX (red) and Hoechst-positive (blue) cells after kainate application and 336h wash. (bd) Histograms showing the number of DCX-positive cells over the total EdU-positive nuclei found at 72 (b, n=3 slices, from two different experiments, *P<0.05 versus control), 192h (c, n=3 slices, from two different experiments, *P<0.05 versus control) or 336h (d, n=4 slices, from two different experiments, *P<0.05 versus control). Note increased number of DCX-positive cells in KA-treated slices as compared with control at each time point

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To measure how many neuronal progenitors actually became neurons, we examined the number of NeuN-positive cells also stained for EdU. As shown in Figure 7, at 72h, although the number of new cells was significantly higher following kainate application than in control (Figures 7a and b), the number of new neurons was very small and similar to control. At 336h after kainate, although the number of new cells had increased (Figures 7a and c) when compared with the value observed at 72h, the average number of new neurons remained, however, very small. In fact, at 336 h the global number of neurons was 98±10 after kainate versus 139±10 in matched untreated controls (n=7). Hence, the simplest interpretation of these data was that most DCX-positive cells had failed to mature into neurons despite continuous cell proliferation even after 2 weeks from kainate treatment.

Figure 7.
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Lack of neuronal progenitor maturation after kainate. (a) Representative NeuN (red), EdU (green) and Hoechst-positive (blue) cells in control condition or after kainate application followed by 72 or 336h washout. (b and c) Histograms showing the number of EdU-positive cells with or without NeuN labeling at 72h (b, n=3 slices, from two different experiments, *P=0.001 versus control) and 336h (c, n=5–6 slices, from two different experiments, *P=0.017 versus control). Note that the number of new neurons was very small and similar to control after 72 or 336h washout

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Discussion

The present report shows that organotypic cultures of the rat spinal cord, that are a useful model to study cell death after excitotoxicity,17 manifested delayed proliferation of neuroprogenitors into astroglia, and their failure to generate new neurons. These results suggest that future experimental attempts to stimulate maturation of endogenous progenitors into neurons should be concentrated to a narrow time window after the acute lesion.

Delayed effects of spinal cord damage

Studying the time course of early effects originating after SCI is a complex task because in vivo animal experiments are usually unsuitable for repeated neuropathological sampling, and isolated spinal cord preparations survive in vitro for up to 24h only.30 Excitotoxicity of organotypic cultures of the rat spinal cord17 closely mimics the main pathophysiology of the rat spinal cord in vivo during the first few hours after SCI31 and triggers neuronal death via a process termed parthanatos.32 Of course, this is a simplified system that lacks blood supply (and, thus, blood-borne substances) and immunological reactions, which are important processes in vivo.33 The low number of microglial cells remained unchanged and was associated with their enhanced ramification34 that is a dynamic process observed early after brain injury,35 and attributed to targeted phagocytosis.27

Cell proliferation after kainate excitotoxicity

We investigated how the organotypic culture cell population changed after the first day following transient excitotoxicity, which is known to affect primarily neurons and to spare glia.16, 17 Notwithstanding the region-specific number of neurons,22 the neuronal damage evoked by kainate was proportionally uniform, completed within 24h, and remained stable during the subsequent days and weeks. Cell death was therefore minimal at longer intervals. The initial damage was, however, sensed by the in vitro network that, via cell proliferation, re-established, after 1 week, the global number of cells as observed in sham controls.

To seek further evidence for cell proliferation, we counted the number of Ki67-positive elements because this biomarker is a sensitive tool to evaluate progenitor cells that can evolve into neurons or glia.36 Ki67-labeled cells were always a clear minority (<10%) of the global cell population, but they were comparatively more numerous (two or three times more in all spinal areas) 72h after kainate. We next assessed Ki76 cells proliferation by analyzing the incorporation of selective DNA biomarkers (EdU or BrdU) (http://www.sendcockpit.com). In control conditions, EdU-positive cells were particularly found near the central fissure that corresponds anatomically to the region around the spinal central canal, from where they spread out after injury. Hence, the simplest interpretation is that an experimental lesion had triggered activation and proliferation of cell precursors intrinsic to the spinal tissue. The next question was their fate.

Astroglia proliferation

The in vivo rat SCI model results in astrogliosis, neuronal and oligodendroglial cell death, axonal degeneration and demyelination that collectively lead to significant spinal cord tissue loss and consequently the formation of a central cavity at the chronic stage of injury (i.e., around 4 weeks or more after SCI).8, 37 Our focus was to find out how intrinsic cells reacted over a critical, earlier stage of SCI with a view of devising future experimental approaches to hinder the pathological process progression. GS has also been implicated as a hallmark of reactive astrocytosis, by its critical role in the glutamate catabolism following SCI.25 However, no difference in GS immunostaining 72h after kainate was observed in the present study, even if GS is suggested to be involved in the endogenous mechanism of protection against neurotoxicity after SCI in vivo.25 The persistence of the GS immunoreactivity confirms our previous studies30, 32 that excitotoxicity primarily damages neurons rather than glia in the rat spinal cord. Our current results showing a transient, early increase in the S100 signal accord with recent clinical data that underlie the importance of high serum S100 levels as a biomarker of brain lesions affecting astroglia.38

To further investigate the contribution by astroglia to excitotoxicity following kainate administration, we found EdU-positive cells with S100 immunoreactivity suggestive of astroglia proliferation only after 2 weeks in culture. Interestingly, despite the lack of early association between S100 and EdU staining and no early increase in immunoreactivity for the precursor marker vimentin, the strength of the S100 fluorescence signal was enhanced 3 days after kainate. As recently reviewed,38 there is ample evidence for the role of S100 in brain injury, whereby this protein not simply leaks out from damaged cells, but it is actively secreted in response to damage so that its detection in biological fluids makes it a biomarker for active cell injury in the nervous system. In the current study, the simplest explanation is that glial cells reacted with stronger expression of S100 before their progenitor proliferation. A late increase in glial cells likely contributed to the recovery in cell numbers observed after 1 week from the initial kainate application.

Neuronal progenitors

DCX-immunoreactive neuronal precursors started proliferating already at 72h from the excitotoxic stress and reached a maximum at 192h, after which their number decreased. These observations differ from a recent study of sustained (24 h) excitotoxic injury to rat organotypic hippocampal slices, where cell death continued for up to 7 days, astroglial proliferation was lacking and DCX expression increased, although the actual number of surviving neurons was not reported.39

The present investigation shows that most DCX-positive precursors failed to mature into neurons, so that this process was inadequate to recreate the original neuronal number. This finding accords with studies of long-term survival of brain neurons as about 80% of the stroke-generated new striatal neurons die during the first 2 weeks after their formation.40 This result is probably due to the deleterious pathological environment surrounding the new neurons41 in vivo as much as in vitro. In brain networks, kainate evokes neuronal death followed by plasticity rearrangement with delayed onset of spontaneous seizures.42 Enhanced network excitability is reported after SCI even in areas remote from the primary lesion.43 This phenomenon is compatible with the large increase in glutamate release we detected long after kainate treatment. Although future studies are necessary to identify the precise mechanisms underlying the facilitated release of glutamate, this process probably originated from the reverse operation of glutamate carriers on glial and neuronal membranes as described after SCI in vivo44, 45 and it may be correlated to hyperexcitability of glutamatergic networks during the secondary phase of SCI.20, 46, 47

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Conclusions

As acute SCI results in rapid loss of neurons within the first day,9, 48 network reconstruction through cell replacement is an attractive target to produce functional recovery.49, 50 Although much work is focussed on transplanted stem cells especially as a major source of factors promoting recovery after SCI,51, 52 little is known about their role of endogenous stem cells after SCI.3 The present report suggests that, after excitotoxic damage, progenitor cells could proliferate for a limited time only and most failed to mature into neurons. This observation delineates a time window for exploring how to drive their full maturation and, thus, provides a convenient test system for experimenting genomic or proteomic approaches to improve the outcome of progenitor cell treatment.

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Materials and Methods

Preparation and maintenance of organotypic cultures

Spinal cord organotypic slices were prepared from embryos (at 13 days of gestation) of pregnant Wistar rats as previously reported.17, 53 Briefly, the fetuses were delivered by caesarian section from timed-pregnant rats killed by slowly raising levels of CO2. Approval for these experiments was obtained from the Scuola Internazionale Superiore di Studi Avanzati (Trieste, Italy) Ethical Committee. All efforts were made to reduce the number of animals used and to minimize animal suffering.

Culture slices were grown in a medium containing 82% Dulbecco’s Modified Eagle medium (DME/HIGH (Dulbecco’s modified Eagle’s medium high glucose); osmolarity 300mOsm, pH 7.35, ‘complete medium’), 8% sterile water for tissue culture, 10% fetal bovine serum (FBS; Invitrogen, Milano, Italy), 5ng/ml nerve growth factor (NGF; Alomone Laboratories; Jerusalem, Israel) and maintained in culture for 22 DIV in accordance with standard procedures.54, 55 DME/HIGH, penicillin and streptomycin were purchased from Euroclone (Paignton, UK). Fetal calf serum (FCS) was obtained from Invitrogen. Unless otherwise indicated, other reagents were purchased from Sigma-Aldrich, Milan, Italy.

Protocol for excitotoxic injury on organotypic cultures

Supplementary Figures S1 and S2 summarize the experimental protocols used for the current study. Acute excitotoxicity injury was produced, at 22 DIV, by applying kainate for 1h (100μM; Ascent Scientific, Bristol, UK) dissolved in complete culture medium and then carefully washed out with complete medium. Following kainate washout, cultures were used for electrochemical experiments (Supplementary Figure S1a) and/or immunohistochemistry studies (Supplementary Figure S1b). Control preparations (sham) were, in each experiment, untreated sister cultures maintained in vitro for the same time points and subjected to the same medium washout.

Electrochemical glutamate release

In accordance with our previous report,19 the release of glutamate was measured by using electrochemical biosensors (Sarissa Biomedical Ltd, Coventry, UK). On-line records were integrated with a potentiostat (Pinnacle Technology Inc., Lawrence, KS, USA) and analyzed off-line with PAL software (V1.5.0; Pinnacle Technology Inc.). We used glutamate and null biosensors (for specific and non-specific electroactive measurements) that were placed at each side of the ventral fissure. The specificity of the glutamate sensor was validated by using a glutamate calibration curve (0.5–50μM) and a single point calibration (with 50μM) was repeated at the end of each experimental day. Glutamate release was recorded using a basic solution (containing in mM: NaCl, 152; KCl, 5; CaCl2, 2; MgCl2, 1; HEPES, 10; glucose, 10, pH 7.4; 300–320mOsm; Sigma-Aldrich, Milan, Italy). The basal glutamate release value was obtained after stabilizing the sensor on the slice for a few minute. Supplementary Figure S1a summarizes the experimental protocol used for this study. The redox current related to glutamate release was induced by kainate (100μM for 1h) in control slices (at 32 DIV) or slices (at 32 DIV) that had received the first application of kainate at 22 DIV.

Organotypic slice immunostaining and cell counting

As previously described,22 cultures were fixed in 4% paraformaldehyde for 60min at room temperature and stored in phosphate-buffered saline (PBS) until use or in 30% sucrose PBS for cryoprotection (24h at 4°C). Cryoprotective slices were cryostat-sectioned to obtain, on average, 6–8 tissue sections (16μm thick) from each organotypic culture, which were collected sequentially on histology slides.

Immunohistochemistry experiments were performed in accordance with previous reports.17, 22 Slices were blocked with 3% FCS, 3% bovine serum albumin (BSA), 0.3% Triton in PBS (blocking solution) for 1h at room temperature, followed by overnight incubation at 4°C in a blocking solution containing the previously validated primary antibodies using the following dilutions: NeuN (1:250; Millipore, Billerica, MA, USA), Ki67 (1:100; Abcam, Cambridge, UK), Iba1 (1:750; Wako, Osaka, Japan), vimentin (1:200, Abcam), GS (1:300, Millipore); S100 (1:1000; Dako, Glostrup, Denmark), BrdU (1:100, Sigma) and DCX (1:100, Santa Cruz Biotechnology, Heidelberg, Germany; and 1:1000, Abcam). The primary antibody was visualized using a secondary fluorescent antibody (Alexa Fluor 488 or 594 at 1:500 dilution; Invitrogen, Carlsbad, CA, USA). To visualize cell nuclei, slices were incubated with 4′, 6-diamidino-2-phenylindole (DAPI, 1μg/ml; Sigma) or Hoechst 33342, (5μg/ml; Invitrogen, Milano, Italy) and mounted using a fluorescence mounting medium (DAKO, Milan, Italy).

For each slice culture, the number of NeuN-positive cells was obtained by counting stacks of 25–30 images with a confocal microscope as previously described,17 and also by analyzing the cryostat tissue sections using a Zeiss Axioskop2 microscope. In both cases, the total number of NeuN-positive cells was quantified with ‘eCELLence’ software (Glance Vision Tech, Trieste, Italy) giving similar results as previously described.22 The number of Iba1-positive cells was analyzed using confocal microscopy, whereby a stack of five images ( × 40 magnification) were counted with ‘eCELLence’ as previously described.22 The morphology of Iba1-positive cells was analyzed by the ‘skeleton’ method.27 Thus, the signal from Iba1-positive processes was enhanced to optimize their detection followed by noise de-speckling to eliminate background fluorescence. The resulting images were converted to binary data and then ‘skeletonized’ by using Image J software (version 1.44p c; Wayne Rasband, National Institutes of Health, Bethesda, MD, USA) as exemplified in Figure 5c. The AnalyzeSkeleton plugin (http://imagejdocu.tudor.lu/doku.php?id=plugin:analysis:analyzeskeleton:start) was then applied to such images to collect data on the number of branches, end points and process lengths.

The vimentin and S100 biomarker signals were collected as mean fluorescence intensity with densitometry analysis using a Zeiss Axioskop2 microscope and MetaVue software (Molecular Devices, Sunnyvale, CA, USA).

DAPI nuclear staining was used to identify the dead/dying cells quantified with ‘eCELLence’ software in three different regions of interest (r.o.i.), namely dorsal, central and ventral, as previously reported.17 The average percent values of nuclei with condensed chromatin were compared between different r.o.i. for control- or kainate-treated slices and normalized to the total number of nuclei.

Proliferation assay–BrdU, EdU and Ki67 staining

Various methods36 were used for assaying cell proliferation. In particular, the recently reported ClickiT EdU technique, especially advantageous because it does not require denaturing DNA or the use of antibodies, was used in accordance with the manufacturers’ instructions (Invitrogen, http://products.invitrogen.com/ivgn/product/E10187). Furthermore, we used an antibody against BrdU that binds to DNA or against the cell cycle antigen Ki67, a nuclear protein expressed by proliferating cells in G1, S, G2 and M (but not in G0) phases.21 Supplementary Figure S2a summarizes the experimental protocol. Slices were treated with a solution containing kainate (100μM) and EdU (10μM) or BrdU (50μM) for 1h; after this incubation time, slices were maintained in complete medium containing only EdU or BrdU for the following 24h, and then washed. Sham slices were processed in the same way except that kainate application was omitted. After fixation, cryopreservation and cryostat sectioning, incorporated EdU was detected with the fluorescentazide coupling reaction, whereby cells were incubated for 30min with azide-conjugated Alexa Fluorophor in a reaction cocktail supplemented with CuSO4 (100mM). Cells were then washed two times with 3% BSA in PBS and nuclear-stained with Hoechst 33342 (5μg/ml) for 30min at room temperature, and finally slide-mounted using a fluorescence medium (DAKO). The counting of EdU-positive cells was done using a Zeiss Axioskop2 microscope and MetaVue software and was quantified using ‘eCELLence’ software. The estimation of EdU-positive cells, and the percentage of cells that were positive also for S100, DCX and NeuN markers, was done by counting manually with Image J software.

For BrdU quantification,56 cryostat-sectioned slices were sequentially incubated with 0.01M citrate buffer (15min at 90°C), 2N HCl (10min at 37°C), neutralized by immersing them in 0.1M borate buffer (twice for 5min at room temperature) and washed twice in 0.1% PBS-Tween-20. After this procedure, slices were processed for immunostaining with the BrdU antibody. To verify the optimal concentration and the staining procedure, we used a neuroblastoma-spinal cord subclone 34 (NSC-34) cell line, which is a hybrid cell line produced by the fusion of motor neuron-enriched embryonic mouse spinal cord cells with mouse neuroblastoma cells,57 kindly donated by Dr. Silvia Di Angelantonio, University of Rome. A linear relation between the number of plated cells (counted with Counting Chamber Thoma, Vetrotecnica, Padova, Italy) and the BrdU (50μM) labeled cells after 72h was observed (Supplementary Figure S2b). Counting of BrdU-positive cells was performed automatically, using Volocity software (PerkinElmer Inc., Waltham, MA, USA), and manually counted using Image J software.

Statistics

Data were expressed as means±S.E.M; n refers to the number of organotypic cultures slices. Statistical calculations were done using SigmaStat 3.11 (Systat Software, Chicago, IL, USA). For multiple comparisons the analysis of variance (ANOVA) test for parametric data followed by the Tukey-Kramer post hoc test was used. Non-parametric values were analyzed with the Kruskal–Wallis test. When two groups were compared, the Student’s t-test for parametric data or the Mann–Whitney Rank Sum test for non-parametric data was applied. The accepted level of significance was always P≤0.05.

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Conflict of interest

The authors declare no conflict of interest.

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Acknowledgements

We thank Dr. Beatrice Pastore for her assistance with organotypic cultures. This study was supported by grants from the government of the Friuli Venezia Giulia Region (SPINAL project).

Supplementary Information accompanies this paper on Cell Death and Disease website

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/.