Abstract
Glial-neuronal cross-talk has a critical role in the development of neurodegenerative conditions, including Alzheimer’s Disease, where it affects neuronal responses to β-amyloid peptide (Aβ)-induced toxicity. We set out to identify factors regulating synaptic responses to Aβ, dissecting the specific role of glial signaling. A low concentration of aggregated Aβ42 induced selective up-regulation of mature brain-derived neurotrophic factor (BDNF) expression and release in rat organotypic hippocampal cultures as well as in cortical pure microglia. Conditioned media from resting (CMC) or Aβ42-treated (CMA) microglia were tested for their effects on synaptophysin expression in SH-SY5Y neuronal-like cells during challenge with Aβ42. Both CMC and CMA prevented Aβ-induced synaptophysin loss. In the presence of Aβ + CMA, synaptophysin was over-expressed, although it appeared partly clumped in cell bodies. Synaptophysin over-expression was not directly dependent on BDNF signaling on neuronal-like cells, but relied on autocrine BDNF action on microglia. FM1-43 labeling experiments revealed compromised synaptic vesicle recycling in Aβ42-treated neuronal-like cells, rescued by microglial conditioned medium. In these conditions, significant and prolonged neuroprotection was observed. Our results point to microglia as a target for early intervention, given its positive role in supporting neuronal compensatory responses to Aβ synaptotoxicity, which potentially lead to their extended survival.
Introduction
Alzheimer’s Disease (AD) is a progressive neurodegenerative condition affecting millions worldwide, an incidence destined to increase along with population ageing1,2. To date, the multifaceted pathophysiology of AD is not yet fully understood and effective therapeutic options are lacking3. The central event in AD onset appears to be the abnormal accumulation of the 42 residue-long form of beta-amyloid peptide (Aβ42) ultimately making of AD a protein misfolding disease4. Aβ42 is characterized by a high rate of aggregation and self-assembles in progressively higher molecular weight structures1,3. Oligomeric Aβ has been identified as the most toxic species, responsible for early cell responses which trigger synaptic damage and consequent neuronal death5–7. In more advanced stages of the disease, accumulation of extracellular deposits of Aβ fibrils leads to plaque formation, chronic inflammation and massive neuronal death, clinically coinciding with a progressively severe cognitive decline1. Aβ42 accumulation is recognized to exert a primary role in the progression that eventually culminates in neuronal death, but in parallel, formation of neurofibrillary tangles occurs, characterized by intraneuronal aggregates of hyperphosphorylated microtubule-associated protein tau8.
In neurodegenerative diseases, neuronal degeneration is profoundly affected by the action of glial cells9. Microglia and astrocytes are swiftly activated by exposure to toxic stimuli and give rise to a complex signaling interplay which involves both autocrine and paracrine effects10–12. Among the many effectors released by glial cells is brain-derived neurotrophic factor (BDNF), a neurotrophin characterized in AD by a biphasic pattern of expression with a significant rise in patients showing mild cognitive impairment (MCI), followed by a substantial drop in patients at more advanced stages of the disease, when neuritic degeneration and reduced spine density occur13. Notably, BDNF from microglia has been shown to display both a pro-inflammatory autocrine action14 and a role in synaptic formation and function in vitro15.
In our recent work using organotypic hippocampal cultures (OHC), we showed that chronic exposure to low concentrations of Aβ, a condition of slow-developing neuronal damage, triggered an early response involving increased expression of pre-synaptic protein synaptophysin (SYP) and enhanced synaptic activity16. In this model, initial SYP increase was interpreted as an attempted compensatory response to synaptic failure, and was indeed followed by SYP reduction at later time points, when neuronal death also occurred16. The analogy between the biphasic pattern of expression we observed for SYP and that reported in literature for BDNF, led us to hypothesize the existence of a link between BDNF and SYP over-expression. We thus asked whether BDNF could be the mediator of an early survival response to Aβ toxicity, promoting synaptic activity through SYP increase. In addition, we explored the role of BDNF of glial origin, together with pro-inflammatory cytokine tumor necrosis factor-α (TNF-α), as possible mediators of glia-neuron crosstalk in this context. To this end, we used organotypic hippocampal slices and individually cultured neuronal-like cells, astrocytes and microglia.
Results
BDNF expression is increased early during exposure to Aβ42 in OHC and pure microglia
BDNF expression was evaluated in OHC exposed to sub-lethal concentrations of either Aβ25-35 (2 μM for 24 h) or Aβ42 enriched in oligomers by aggregation (0.5 μM for 7 d). These are conditions of slow developing neuronal damage that, as previously shown by our group, coincide with Aβ-driven SYP increase at a time when neuronal death is still negligible16. Western blot analysis showed a significant rise in mature BDNF expression (14 kDa) after treatment with both Aβ25-35 (Fig. 1A) and Aβ42 (Fig. 1B). Notably, when fluorescently labeled FAM-Aβ42 (0.25 μM) was applied to OHC for 24 h, it displayed a strong tropism towards integrin α-M-positive microglia (Fig. 1C) yielding a superimposable staining. Microglial cells appeared elongated and regularly aligned. No co-localization was evident between FAM-Aβ42 and GFAP-positive astrocytes (Fig. 1D), although they appeared similarly aligned. Neuronal morphology in the area was analyzed by staining with selective marker MAP2 (Supplementary Fig. 1).
Astrocytes, microglia and neuronal-like cells were separately cultured to test individual effects of Aβ42 on BDNF expression and downstream effects. Primary rat cortical astrocytes and microglia were either grown as a mixed culture (mxG) or separated and cultured as pure astrocytes (pAS) and pure microglia (pMG). Neuroblastoma SH-SY5Y cells were subjected to gradual serum reduction in order to arrest cell cycle and induce neuronal differentiation. Treatments were always carried out in serum-free conditions (SF). Reduction of neuronal-like cell proliferation in these conditions was confirmed by cytofluorometric analysis of cell cycle distribution following propidium iodide incorporation. Time-course analysis of Aβ42 toxicity at 0.5 μM was performed by the MTT assay on neuronal-like cells and showed significant cell death starting at 18 h, with maximal effect at 24 h of exposure (Fig. 2A). Based on this result, 5 h was chosen as an early time point preceding cell death in order to analyze synaptic protein content in SH-SY5Y cells, while effects of treatments of interest on neuronal viability were tested at 24 h or longer. MTT assay revealed no Aβ42-induced cell death for pMG or pAS in the same conditions (not shown).
Expression of the mature form of intracellular BDNF (14 kDa) was selectively analyzed, and in our Western blot and ELISA results we will always refer to this specific form. Western blot analysis of intracellular BDNF content was significantly increased in pMG after 5 h of exposure to 0.5 μM of Aβ42 (Fig. 2B). When pMG were pulsed for 5 h with Aβ42, followed by Aβ removal and an 18 h-recovery (5 + 18 h; Fig. 2B), there was still a trend towards BDNF increase, which however was less pronounced and did not reach statistical significance (Fig. 2B). At the contrary, treatment with Aβ42 did not significantly modify BDNF expression in pAS after 5 h or 5 + 18 h (Fig. 2C), nor in differentiated SH-SY5Y cells after 5 h (Fig. 2D). Consistent with cell content expression results, ELISA measurement of BDNF in Aβ-treated pMG-derived conditioned medium (CM) showed a significant increase after 5 h of exposure to 0.5 μM of Aβ42 but also after the pulse/removal treatment as described above (Fig. 2E). To further confirm selectivity of Aβ42 for stimulation of microglial BDNF expression, imaging flow cytometry experiments were carried out using mixed glial cultures (mxG). Cells were immunostained for BDNF (yellow, Fig. 2F) coupled to either microglial marker integrin α-M (green, Fig. 2F) or astrocyte marker GFAP (green, Fig. 2G) in double staining experiments. The percentage of microglial cells co-expressing BDNF/integrin α-M significantly increased following Aβ42 treatment (0.5 μM for 5 h) compared to control (Fig. 2F). At the contrary, the percentage of GFAP+ astrocytes expressing BDNF was unaffected by exposure to Aβ42 (0.5 μM for 5 h; Fig. 2G). Figure 2H shows integrin α-M-positive pMG (red) co-immunostained with BDNF (green) in control and Aβ42-treatment conditions (0.5 μM for 5 h), the latter showing more widespread and intense staining for BDNF. Overall, these data point to microglial cells as early responders to Aβ42 exposure, presenting with increased expression and release of mature BDNF.
Factors of microglial origin modify SYP expression in the presence of Aβ42
To evaluate how the presence of microglial medium, enriched in mature BDNF following treatment with Aβ, affected neuronal response to direct Aβ exposure, an appropriate experimental protocol was designed to avoid carry-over of Aβ from microglial treatment. As previously mentioned, in all experiments pMG were pulsed with 0.5 μM Aβ for 5 h, washed and let recover for 18 h to obtain final CM devoid of Aβ, to be transferred onto neuronal-like cells. CM was always serum-free. SH-SY5Y cells were challenged with Aβ42 in this pMG-derived CM from untreated (CMC) or Aβ-treated (CMA) conditions to examine its effects on synaptic protein levels and on neuronal viability.
Western blot analysis of SYP expression in SH-SY5Y cells was tested after exposure to 0.5 μM of Aβ42 for 5 h. In the presence of non-conditioned medium (NCM), Aβ42 produced a small, yet significant reduction of SYP content compared to control (Fig. 3A). Addition of BDNF (1 ng/ml) during Aβ42 exposure contrasted such reduction (Fig. 3A). Thus, exogenous BDNF, in the absence of additional factors, was able to prevent synaptic damage appearing early after exposure to Aβ42. When SH-SY5Y cells were treated with Aβ42 (0.5 μM for 5 h) in CMC, SYP protein levels were not anymore reduced compared to control condition (CMC alone; Fig. 3B). This effect was preserved when pan-Trk receptor inhibitor GNF5837 (100 nM; GNF) was present with Aβ42 (Fig. 3B). At the contrary, CMA not only prevented, but reversed the effect of Aβ42 treatment on neuronal-like cells, by significantly increasing SYP content (Fig. 3B). Such effect was again not modified by GNF (Fig. 3B), nor by the selective TrkB antagonist ANA-1217 (20 μM; Fig. 3C). As shown in Supplementary Fig. 4, ANA-12 was effective in blocking exogenous BDNF action. When the MAPK pathway, classically induced by BDNF18, was inhibited with U0126 (10 μM), Aβ42-induced SYP increase in CMA was not prevented (Fig. 3C). These results highlight the protective role of CM from both resting and Aβ42-stimulated microglia, while evidencing how specific factors released in the latter condition are responsible for distinct effects on synaptic proteins. Surprisingly, these did not depend on direct action of microglial mature BDNF on neurons. On the other hand, autocrine BDNF action on microglia proved to be essential in CMA action. In fact, CM yielded by direct treatment of pMG with BDNF (1 ng/ml for 24 h; CMB), was able to fully mimic the effects shown for CMA (Fig. 3D). This is consistent with CMB carrying, like CMA, BDNF and its paracrine-induced microglial factors. Moreover, the medium resulting from incubation of pMG with Aβ42 plus 100 nM GNF maintained during both Aβ pulse and subsequent recovery (CMAG), completely lost the ability to contrast Aβ42 effects on SYP expression (Fig. 3E). This is in line with a condition where Aβ42-induced rise in BDNF is not able to evoke further responses by microglial cells, due to receptor inhibition.
TNFα was tested as a potential candidate for microglial autocrine action of BDNF, based on recent literature14. We hypothesized that the presence of TNF-α in CMA could balance out the beneficial action of BDNF, accounting for the exceeding rise of synaptic proteins observed. Triple staining analysis of TNF-α co-expression with either GFAP-positive astrocytes, or Iba1-positive microglial cells, was carried out on mxG samples by imaging flow cytometry. Results showed that exposure to Aβ42 (0.5 μM for 5 + 18 h) significantly increased mean fluorescence intensity of TNF-α immunostaining (Fig. 4A), without affecting the percentage of positive cells (Fig. 4B), selectively in Iba1 co-labeled microglia. As shown in Fig. 4C, Western blot analysis of TNF-α expression in pMG confirmed a significant increase of TNF-α content following Aβ42 exposure (0.5 μM for 5 + 18 h), although such effect was not prevented by GNF (100 nM), nor mimicked by direct BDNF treatment (1 ng/ml). Interestingly, when directly added to SH-SY5Y cells, TNF-α (10 ng/ml) significantly enhanced Aβ-driven SYP reduction, and this effect was attenuated by direct addition of BDNF (1 ng/ml; Fig. 4D). These results confirm a detrimental role for TNF-α, but rule out its connection to BDNF actions.
Microglial CM rescues synaptic function compromised by Aβ42
Synaptic activity in different treatment conditions was determined by FM 1–43 dye labeling on SH-SY5Y cells. Aβ treatment (0.5 μM for 5 h) significantly reduced recycling of synaptic vesicles (Fig. 5A), measured as intensity of fluorescence at the end of the loading step (see Materials and Methods section). This effect was prevented in the presence of CMA, and reversed in CMC, where Aβ induced a significant increase in vesicle recycling compared to CMC alone (Fig. 5A). Release of synaptic vesicles, measured as percentage of fluorescence destaining induced by KCl stimulation, was likewise reduced by Aβ in basal conditions but completely restored in the presence of both CMC and CMA vs respective controls (Fig. 5B). Representative images of cellular FM 1–43 staining, in each condition, are shown next to loading (Fig. 5A) and unloading (Fig. 5B) graphs. SYP immunostaining of SH-SY5Y cells in the presence of CMA showed an even distribution of uniformly-sized synaptic puncta along an axon-like extension (Fig. 5C), as opposed to bright over-saturated clusters of SYP accumulating near the cell nucleus in the presence of CMA + Aβ (5 h; Fig. 5C). These results point to overexpression of SYP as the response to an aberrant accumulation of dysfunctional protein in the cell body. Data also suggest that this mechanism succeeds in compensating the partial lack of function, restoring vesicle release levels.
Microglial CM enhances neuronal resistance against Aβ42 toxicity
Finally, viability was determined by MTT assays performed on SH-SY5Y cells challenged with 0.5 μM of Aβ42 for 24 h either in non-conditioned medium or in the presence of CMC or CMA. In basal conditions, BDNF (1 ng/ml) prevented Aβ toxicity (Fig. 6A). Both CMC and CMA were able to contrast Aβ42 toxicity (Fig. 6B). This result suggests that prevention of SYP loss indeed correlates with enhanced survival in the presence of microglial CMs. Blockade of BDNF signaling in neuronal-like cells by addition of pan-Trk inhibitor GNF (100 nM) restored Aβ toxicity in CMA, but not in CMC (Fig. 4). Likewise, conditioned medium from pMG treated with BDNF (1 ng/ml; CMB) mimicked CMA effects by reducing Aβ toxicity on neuronal-like cells (Fig. 6B). Finally, CM derived from pMG exposed to Aβ42 under blockade of BDNF signaling with GNF (100 nM; CMAG) reinstated full Aβ toxicity on neuronal-like cells. Overall these data confirm the role of Aβ42-induced microglial BDNF in an attempt to increase cell survival.
Discussion
The main purpose of the present study was to pinpoint new mechanisms of neuroprotection that come into play early during slow-developing, Aβ-induced, neuronal damage, with special regard to glial involvement. Aβ is a key molecular factor in the etiology of AD, primarily targeting synaptic function19–21, in a process that is rather slow over the years before massive synaptic loss and neuronal degeneration occur22–24. The events preceding full synaptic dysfunction, roughly coinciding with pre-symptomatic stages of disease, remain yet largely undiscovered but cover a crucial time span for preventive intervention6,22.
We previously demonstrated that OHC exposed to sub lethal concentrations of aggregated Aβ42, undergo a significant up-regulation of pre-synaptic vesicle component synaptophysin, the meaning of which was attributed to a compensatory but ultimately inefficient response to synaptic toxicity16. Our current aim was then to identify new targets in order to favor such compensatory events and prevent their ultimate failure. We here focused our interest on BDNF as a likely candidate, given its involvement in synaptic function and in neuronal-glial crosstalk, as seen also in AD14,18,25,26.
We confirmed that mature BDNF was significantly increased at time points in which SYP expression was also induced in OHC exposed to sub-lethal Aβ concentration. In agreement with our result, a biphasic pattern of expression has been shown for BDNF in patients, which seems to exactly retrace the expression of SYP, with an early increase in conditions of MCI, followed by a drop towards advanced stages of AD13,27. Notably, with the aid of fluorescently labeled Aβ42 we were able to distinguish a close physical relation of the peptide specifically with microglial cells in the CA1 area of OHC, especially dense where neuronal cell bodies are also localized. This observation is consistent with evidence showing that, in response to a toxic environment, microglial cells are activated and migrate to the site of the lesion following cues released by injured neurons11,28. More specifically, microglia here observed are reminiscent of a rod-type microglia, with an elongated, sausage-like shape, aligning along neurons29, already described in brain tissue from AD patients30. The organotypic model recapitulates to a high degree the cytoarchitecture of the hippocampus where all main players, i.e. neurons, microglia and astrocytes coexist giving rise to a complex signaling interplay. By separately culturing the component cell types, we were able to identify microglia as the significant source of increased mature BDNF in response to Aβ. This result is consistent with the literature showing microglial release of BDNF following exposure to different toxic stimuli31–33. Although others have shown Aβ-induced up-regulation of BDNF also by astrocytes34, the diverging results could be accounted for by the dissimilar protocols used in that study compared to ours.
Exploring the effects of microglial mature BDNF induction on neuronal response under toxic conditions, we showed that CM from Aβ-challenged pMG was indeed required to reproduce over-expression of SYP as seen in OHC, as well as for restoration of compromised synaptic vesicle recycling and enhanced neuroprotection. Importantly, at longer times of exposure to Aβ (5 d), CM from microglia still yielded significant neuroprotection (not shown). Unexpectedly, increased mature BDNF release by microglia was not directly responsible for SYP increase in neurons, which relied instead on autocrine BDNF signaling on microglia itself. In contrast, direct application of BDNF to neuronal-like cells was able to both prevent SYP loss and exert neuroprotection. This apparent discrepancy is likely due to the fact that exogenous BDNF only counteracts Aβ-induced SYP reduction, whereas the effect of CMA is not limited to preserve, but rather to increase SYP expression. The effects of BDNF on SH-SY5Y cells are known to be mediated by TrkB activation35. p75 receptor is also expressed in SH-SY5Y neuron-like cells36, is sensitive to different neurotrophins and can play a role in BDNF action37. However, p75 is preferentially activated by pro-BDNF37 and a detailed characterization of the involvement of different forms of BDNF and their receptors deserves a deep analysis that goes beyond the aim of the present study.
The hypothesis of TNF-α being the BDNF-induced autocrine mediator in CMA was ruled out by our results, although it was confirmed that Aβ stimulation increased the cytokine’s content in pMG. It is feasible to reason that TNF-α activates inflammatory pathways in neurons that counterbalance the positive action of BDNF. This would provide an explanation for the reduced trend of neuroprotection of CMA compared to CMC from resting pMG. In fact, CMC from resting microglia prevented SYP loss without causing its over-expression and ameliorated synaptic function by increasing the rate of synaptic vesicle recycling. The over-expression of SYP detected in neuronal-like cells exposed to Aβ + CMA could be connected to the accumulation of the protein in clumps, possibly indicative of a loss of function, as described for other neurodegenerative diseases38. Altogether, our data point to a beneficial role of resting microglia on neuronal survival, that is still retained following exposure to Aβ, despite the induced release of inflammatory signals (e.g. TNF-α) along with pro-survival ones (e.g. BDNF). Perfectly in line with our interpretation, where CMs from pMG sustain an adequately neurotrophic milieu yielding protection against synaptic damage, progression of cognitive impairment has been linked to an insufficiently neurotrophic environment39. Although in a recent work by Hong et al.40, microglia was shown as responsible for early synaptic loss in AD mouse model brains, SYP was not reduced in this model whereas post-synaptic sites were mainly affected.
The protective action we have here shown for microglia is mainly effected through up-regulation of synaptic proteins and rescue of synaptic function. As mentioned, increasing attention has been paid in recent years to the earliest events in AD development, in which initial increase of SYP expression is central, as shown in patients41 and recapitulated in AD animal models42. While it seems conclusive that such events represent a compensatory response to synaptotoxic signaling39,43,44, the debate regarding their real consequences is still open. On one hand there is evidence that increased SYP and synaptic activity leads to excess glutamate release causing exacerbation of excitotoxicity45. On the other hand, an overall inverse correlation has been shown between synaptic protein levels and clinical severity in AD27, with cases of elderly individuals presenting extensive pathology but normal cognition linked to sustained increase of SYP levels43,46. In addition, in the 3xTg-AD mouse model, increase in SYP neuronal content is still able to rescue some cognitive behaviors even after a prior decline in its levels42. Thus in this debate, our work adds to the evidence of a positive outcome linked to early SYP increase.
Our in vitro experimental settings allowed us to directly assess the interaction between microglia and neurons and the results here reported well correlate with in vivo studies where microglia-neuron cross-talk has been largely demonstrated in animal models of AD47–49. Interestingly, in this respect, although the real role of microglia in AD is still debated, recent data point to a subset of microglial population associated with restriction of AD development50.
In conclusion, we here provide substantial data in support of a beneficial contribution of microglia to the early compensatory response of neurons to Aβ. Microglia appears to strengthen neuronal resistance to synaptotoxicity, leading to enhanced neuronal viability, thus representing a compelling target for early intervention in AD.
Materials and Methods
Drugs and reagents
Aβ(1-42) peptide from Innovagen (Lund, Sweden) was dissolved in dimethylsulfoxide (DMSO) as a 5 mM stock, subsequently diluted to 100 μM in culture medium and enriched in oligomers by aggregation at RT for 24 h followed by at least 2 freeze-thaw cycles prior to use. Aβ(1-42) 5-FAM (FAM-Aβ) was dissolved in DMSO at an initial concentration of 200 μM. Human recombinant brain-derived neurotrophic factor (BDNF) and human recombinant tumor necrosis factor-α (TNF-α) were from PeproTech (London, UK). Pan-Trk inhibitor GNF5837 (Santa Cruz Biotechnologies; Santa Cruz, CA, USA), selective TrkB antagonist ANA-12 (Sigma-Aldrich Co, Milan, Italy), MAPK pathway inhibitor U0126 (Tocris Cookson Ltd, North Point, UK) were always added 10 min before other drugs.
Organotypic hippocampal cultures (OHC)
OHC obtained from post-natal day 7 Sprague-Dawley rats (Harlan, Udine, Italy) were cultured with the interface method as previously described51, with slight modifications. Briefly, each hippocampus was isolated and cut into 350 μm-thick transversal sections with a McIlwain tissue chopper. Intact slices were selected and incubated for 20 minutes at 4 °C in Hank’s Balanced Salt Solution (Invitrogen Life Technologies, Milan, Italy) supplemented with 0.5% glucose (Sigma) and 1.5% Fungizone (Invitrogen). Slices were then transferred onto Millicell-CM culture inserts (MilliporeMerck KGaA, Darmstadt, Germany; 4 slices/insert) placed on top of 1 ml of Eagle’s minimal essential medium containing 25% HBSS, 25% horse serum (HS), 1 mM glutamine, 1.5% Fungizone (all from Invitrogen) and 0.5% glucose (Sigma). For experiments in serum-free conditions, HS was substituted with an equivalent volume of MEM. Cultures were incubated at 37 °C and 5% CO2 in a humidified atmosphere and subjected to medium change twice a week. Slices were used for experiments after 14 days of maturation in vitro.
Cell cultures
Mixed glial cultures were prepared from 1–3 days-old Sprague-Dawley rats (Harlan). In brief, after removal of meninges and isolation of cortexes, cells were dispersed by mechanical and enzymatic dissociation with 0.25% trypsin (Invitrogen) and filtered through 40 μm nylon cell strainers (BD Biosciences, Erembodegem, Belgium). Cells were plated onto 75 cm2 flasks and maintained in DMEM supplemented with 10% fetal bovine serum (FBS), penicillin (100 U/ml)/streptomycin (100 µg/ml) at 37 °C and CO2 atmosphere. Confluent cultures at 8–10 d in vitro were shaken at 250 rpm and 37 °C for 1.5 h to collect microglia. Shaking was then protracted for 6 h at 500 rpm to remove oligodendrocytes, while remaining astrocytes were collected by trypsin digestion. For experiments, microglia and astrocytes were plated in 35 mm-dishes at a density of 3 million and 1.5 million cells, respectively. Mixed glial cultures were plated in 35 mm-dishes at a density of 1 million cells. All glial cells were used for experiments 48 h after plating. Isolated astrocyte and microglia cultures were up to 98% pure, as evaluated by flow cytometry with selective cell type markers. SH-SY5Y human neuroblastoma cells were cultured in DMEM/F12 supplemented with 10% FBS, penicillin (100 U/ml) and streptomycin, (100 μg/ml) at 37 °C and CO2 atmosphere. Based on experimental needs, cells were plated with the following densities: 600 k cells/well in 12-well plates, 30 k/well in 96-well plates and 100 k/well in 8-well microslides. Serum reduction was started the following day. All medium constituents were obtained from Invitrogen. Microslides were from Ibidi, all other plastic was from Falcon.
All animal experimental procedures were carried out in accordance with the directives of the Italian and European Union regulations for the care and use of experimental animals (DL116/92) and were approved by the Italian Ministry of Health.
Western blot analysis
Cells were lysed in M-PER lysis buffer (Thermofisher Scientific, Waltham, MA, USA) supplemented with anti-protease cocktail mix (Sigma). Protein concentration was determined using micro Bradford reagent (Sigma) protocol according to the manufacturer’s instructions and measuring absorbance with a VarioskanTM Flash Multimode Reader. SDS-PAGE was performed loading 20–50 μg of protein extracts on pre-cast 4–20% gradient gels (Bio-Rad, Hercules, CA, USA) and followed by transfer to nitrocellulose membrane (Hybond ECL, Amersham Biosciences Europe GmbH, Milan, Italy) using a Transblot semidry transfer cell (Bio-Rad). Membranes were blocked with Odyssey Blocking buffer and incubated with primary antibodies overnight at 4 °C. Primary antibodies used were: rabbit anti-BDNF (1:500; S. Cruz sc-546), mouse anti-SYP (1:10000; S. Cruz sc-17750), goat anti-TNFα (1:200; S. Cruz sc-1351); rabbit anti-β-actin (1:5000; Sigma A2066), and mouse anti-α-tubulin (1:10000; Sigma T9026). Membranes were then washed and exposed to appropriate IRDye® 680RD or IRDye® 800CW secondary antibodies (1:15000; LI-COR Biosciences, Lincoln, NE, USA) for 45 min RT. Detection of specific bands was carried out using the LI-COR Odyssey® Infrared Imaging System. Band intensity was analyzed using the Image J software, developed by NIH and in public domain. All blots were cropped to display only specific bands of interest. Full length blots are available as Supplementary Information.
Immunofluorescent staining
Fixation was carried out with ice-cold 4% paraformaldehyde (2 h for OHC; 30 min for cells), followed by permeabilization when necessary with 0.1% Triton X-100 on ice (1 h for OHC; 10 min for cells) and blocking in 3% BSA (2 h for OHC; 30 min for cells). Incubation with primary antibodies was carried out in a 3% BSA solution (24 h for OHC; overnight for cells) at 4 °C. Primary antibodies used were: chicken anti-integrin α-M (integrin; 1:80, Aves Labs MAC, Tigard, OR, USA), mouse anti-GFAP (1:300, Cell Signaling #3670, Danvers, MA, USA), rabbit anti-BDNF (1:100; S. Cruz), mouse anti-MAP2 (1:100; #05-346, Merck-Millipore); mouse anti-SYP (1:150; S. Cruz). After washing, cells were incubated with secondary antibodies RT (2 h for OHC; 45 min for cells), washed and mounted with regular or DAPI-containing mounting solution (both from Sigma). Secondary antibodies used were: PE-anti-chicken (1:200; S. Cruz sc-3730), Alexa-Fluor 546-anti-mouse (1:300; Invitrogen A10036), Alexa-Fluor 488-anti-rabbit (1:300; Invitrogen A11088). Digital images were captured with a Zeiss Observer.Z1 microscope equipped with the Apotome.2 acquisition system (Zeiss, Oberkochen, Germany).
Flow cytometry
Cells were gently collected and fixed for 30 min with ice-cold 4% paraformaldehyde. When necessary, cells were permeabilized with 0.1% Triton X-100 for 10 min on ice. After blocking with 3% BSA for 30 min, cells were incubated with primary antibodies overnight at 4 °C, then washed prior to incubation with secondary antibodies for 45 min at RT. Primary antibodies used were: chicken anti-integrin α-M (1:500, Aves), mouse anti-GFAP (1:500, Cell Signaling), rabbit anti-BDNF (1:500; S. Cruz), goat anti-TNFα (1:250; S. Cruz), rabbit anti-Iba1 (1:300; Novus Biologicals, NBP2-19019). Antibodies were appropriately combined in multiple labeling experiments. Secondary antibodies used were: PE-anti-chicken (1:200; S. Cruz), FITC-anti-goat (1:200; S. Cruz sc-2024), Alexa-Fluor 647-anti-rabbit (1:500; Invitrogen A31573), PE-anti-mouse (1:300; S. Cruz sc-3738). Data was acquired on the Amnis FlowSight® Imaging Flow Cytometer and analyzed with IDEAS® Software (Millipore).
BDNF Enzyme-linked Immunosorbent Assay (ELISA)
Levels of mature BDNF in conditioned medium were determined with the biosensis® BDNF RapidTM ELISA kit (Biosensis Pty Ltd, Thebarton, SA, Australia), strictly following the manufacturer’s instructions. Absorbance at 450 nm was measured with a VarioskanTM Flash Multimode Reader.
FM 1–43 Dye Imaging
Experiments were carried out according to our previously published protocol16. Briefly, SH-SY5Y cells were washed in a modified Tyrode solution (TS; in mM: 150 NaCl, 4 KCl, 2 MgCl2, 10 glucose, 10 HEPES, and 2 CaCl2, pH 7.4), exposed to 10 μM FM 1–43 dye (Invitrogen) in the same buffer for 5 min to label membranes, then stimulated with high-potassium (90 mM KCl) TS (HKTS; containing equimolar substitution of KCl for NaCl) for 10 min to stimulate synaptic vesicle exocytosis. After HKTS removal, cells were subjected to a 5 min recovery in the presence of FM 1–43 (10 μM) to allow complete recycling of synaptic vesicles, then extensively washed with TS to remove excess dye. Finally, cells were stimulated with HKTS for 15 min to allow complete unloading of dye-labeled vesicles. All steps were carried out in the presence of (2,3-dihydroxy-6-nitro-7sulfamoyl-benzo[f]quinoxaline-2,3-dione (NBQX, 10 μM; Tocris) to prevent recurrent activity during stimulation. Images were captured at the end of wash (coinciding with complete loading) and at the end of unloading using a Zeiss Observer.Z1 microscope connected to a digital camera, using the same exposure settings for all images. Quantitative analysis of fluorescence intensity (as mean gray value) after loading and unloading were performed on 40X magnification images using the Image J software developed by NIH and freely available on the web.
3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazoliumbromide (MTT) viability assay
SH-SY5Y cells were incubated with 1 mg/ml MTT substrate (Sigma) for 2 h at 37 °C. Dimethylsulfoxide was added to obtain cell lysis and solubilization of formazan resulting from MTT reduction by viable cells’ mitochondrial activity. Absorbance at 545 nm was then measured with a VarioskanTM Flash Multimode Reader.
Statistical analysis
All data were from at least three independent experiments, run at least in triplicate. Statistical analyses were performed by Student’s t-test or one-way ANOVA, followed by Neuman-Keuls test for significance with GraphPad Prism Software (GraphPad Software, San Diego, California USA). p < 0.05 was taken as the criterion for statistical significance.
Electronic supplementary material
Acknowledgements
This work was supported by institutional funding from University of Catania to MAS (Chance cod 21040101-2017).
Author Contributions
S.M. and M.A.S. conceived the work and designed experiments. S.M., S.F.S. and M.B. performed experiments. S.M. and M.A.S. wrote the manuscript.
Competing Interests
The authors declare no competing interests.
Footnotes
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-018-25453-1.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Walsh DM, Teplow DB. Alzheimer’s disease and the amyloid beta-protein. Progress in molecular biology and translational science. 2012;107:101–124. doi: 10.1016/B978-0-12-385883-2.00012-6. [DOI] [PubMed] [Google Scholar]
- 2.Verheij MM, et al. Systemic Delivery of a Brain-Penetrant TrkB Antagonist Reduces Cocaine Self-Administration and Normalizes TrkB Signaling in the Nucleus Accumbens and Prefrontal Cortex. The Journal of neuroscience: the official journal of the Society for Neuroscience. 2016;36:8149–8159. doi: 10.1523/JNEUROSCI.2711-14.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mohamed T, Shakeri A, Rao PP. Amyloid cascade in Alzheimer’s disease: Recent advances in medicinal chemistry. European journal of medicinal chemistry. 2016;113:258–272. doi: 10.1016/j.ejmech.2016.02.049. [DOI] [PubMed] [Google Scholar]
- 4.Knowles TP, Vendruscolo M, Dobson CM. The amyloid state and its association with protein misfolding diseases. Nature reviews. Molecular cell biology. 2014;15:384–396. doi: 10.1038/nrm3810. [DOI] [PubMed] [Google Scholar]
- 5.Walsh DM, Selkoe DJ. A beta oligomers - a decade of discovery. Journal of neurochemistry. 2007;101:1172–1184. doi: 10.1111/j.1471-4159.2006.04426.x. [DOI] [PubMed] [Google Scholar]
- 6.Nimmrich V, Ebert U. Is Alzheimer’s disease a result of presynaptic failure? Synaptic dysfunctions induced by oligomeric beta-amyloid. Reviews in the neurosciences. 2009;20:1–12. doi: 10.1515/REVNEURO.2009.20.1.1. [DOI] [PubMed] [Google Scholar]
- 7.Selkoe DJ. Soluble oligomers of the amyloid beta-protein impair synaptic plasticity and behavior. Behav Brain Res. 2008;192:106–113. doi: 10.1016/j.bbr.2008.02.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Arendt T, Stieler JT, Holzer M. Tau and tauopathies. Brain research bulletin. 2016;126:238–292. doi: 10.1016/j.brainresbull.2016.08.018. [DOI] [PubMed] [Google Scholar]
- 9.Farfara D, Lifshitz V, Frenkel D. Neuroprotective and neurotoxic properties of glial cells in the pathogenesis of Alzheimer’s disease. Journal of cellular and molecular medicine. 2008;12:762–780. doi: 10.1111/j.1582-4934.2008.00314.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Liu W, Tang Y, Feng J. Cross talk between activation of microglia and astrocytes in pathological conditions in the central nervous system. Life sciences. 2011;89:141–146. doi: 10.1016/j.lfs.2011.05.011. [DOI] [PubMed] [Google Scholar]
- 11.Streit WJ. Microglia and neuroprotection: implications for Alzheimer’s disease. Brain research. Brain research reviews. 2005;48:234–239. doi: 10.1016/j.brainresrev.2004.12.013. [DOI] [PubMed] [Google Scholar]
- 12.Wes PD, Sayed FA, Bard F, Gan L. Targeting microglia for the treatment of Alzheimer’s Disease. Glia. 2016 doi: 10.1002/glia.22988. [DOI] [PubMed] [Google Scholar]
- 13.Laske C, et al. Stage-dependent BDNF serum concentrations in Alzheimer’s disease. Journal of neural transmission. 2006;113:1217–1224. doi: 10.1007/s00702-005-0397-y. [DOI] [PubMed] [Google Scholar]
- 14.Zhang X, et al. Positive feedback loop of autocrine BDNF from microglia causes prolonged microglia activation. Cellular physiology and biochemistry: international journal of experimental cellular physiology, biochemistry, and pharmacology. 2014;34:715–723. doi: 10.1159/000363036. [DOI] [PubMed] [Google Scholar]
- 15.Parkhurst CN, et al. Microglia promote learning-dependent synapse formation through brain-derived neurotrophic factor. Cell. 2013;155:1596–1609. doi: 10.1016/j.cell.2013.11.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Merlo S, Spampinato SF, Capani F, Sortino MA. Early beta-Amyloid-induced Synaptic Dysfunction Is Counteracted by Estrogen in Organotypic Hippocampal Cultures. Current Alzheimer research. 2016;13:631–640. doi: 10.2174/1567205013666160125113509. [DOI] [PubMed] [Google Scholar]
- 17.Cazorla M, et al. Identification of a low-molecular weight TrkB antagonist with anxiolytic and antidepressant activity in mice. The Journal of clinical investigation. 2011;121:1846–1857. doi: 10.1172/JCI43992. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kowianski, P. et al. BDNF: A Key Factor with Multipotent Impact on Brain Signaling and Synaptic Plasticity. Cell Mol Neurobiol, 10.1007/s10571-017-0510-4 (2017). [DOI] [PMC free article] [PubMed]
- 19.Selkoe DJ. Alzheimer’s disease is a synaptic failure. Science. 2002;298:789–791. doi: 10.1126/science.1074069. [DOI] [PubMed] [Google Scholar]
- 20.Palop JJ, Mucke L. Amyloid-beta-induced neuronal dysfunction in Alzheimer’s disease: from synapses toward neural networks. Nature neuroscience. 2010;13:812–818. doi: 10.1038/nn.2583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pozueta J, Lefort R, Shelanski ML. Synaptic changes in Alzheimer’s disease and its models. Neuroscience. 2013;251:51–65. doi: 10.1016/j.neuroscience.2012.05.050. [DOI] [PubMed] [Google Scholar]
- 22.Skaper SD, Facci L, Zusso M, Giusti P. Synaptic Plasticity, Dementia and Alzheimer Disease. CNS Neurol Disord Drug Targets. 2017;16:220–233. doi: 10.2174/1871527316666170113120853. [DOI] [PubMed] [Google Scholar]
- 23.Lacor PN, et al. Abeta oligomer-induced aberrations in synapse composition, shape, and density provide a molecular basis for loss of connectivity in Alzheimer’s disease. The Journal of neuroscience: the official journal of the Society for Neuroscience. 2007;27:796–807. doi: 10.1523/JNEUROSCI.3501-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Masliah E, et al. Altered expression of synaptic proteins occurs early during progression of Alzheimer’s disease. Neurology. 2001;56:127–129. doi: 10.1212/WNL.56.1.127. [DOI] [PubMed] [Google Scholar]
- 25.Leal, G., Comprido, D. & Duarte, C. B. BDNF-induced local protein synthesis and synaptic plasticity. Neuropharmacology76 Pt C, 639–656, 10.1016/j.neuropharm.2013.04.005 (2014). [DOI] [PubMed]
- 26.Sampaio TB, Savall AS, Gutierrez MEZ, Pinton S. Neurotrophic factors in Alzheimer’s and Parkinson’s diseases: implications for pathogenesis and therapy. Neural Regen Res. 2017;12:549–557. doi: 10.4103/1673-5374.205084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Mukaetova-Ladinska EB, et al. Staging of cytoskeletal and beta-amyloid changes in human isocortex reveals biphasic synaptic protein response during progression of Alzheimer’s disease. The American journal of pathology. 2000;157:623–636. doi: 10.1016/S0002-9440(10)64573-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Dou Y, et al. Microglial migration mediated by ATP-induced ATP release from lysosomes. Cell research. 2012;22:1022–1033. doi: 10.1038/cr.2012.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Taylor SE, Morganti-Kossmann C, Lifshitz J, Ziebell JM. Rod microglia: a morphological definition. PloS one. 2014;9:e97096. doi: 10.1371/journal.pone.0097096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bachstetter AD, et al. Disease-related microglia heterogeneity in the hippocampus of Alzheimer’s disease, dementia with Lewy bodies, and hippocampal sclerosis of aging. Acta Neuropathol Commun. 2015;3:32. doi: 10.1186/s40478-015-0209-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Trang T, Beggs S, Wan X, Salter MW. P2X4-receptor-mediated synthesis and release of brain-derived neurotrophic factor in microglia is dependent on calcium and p38-mitogen-activated protein kinase activation. The Journal of neuroscience: the official journal of the Society for Neuroscience. 2009;29:3518–3528. doi: 10.1523/JNEUROSCI.5714-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kim SY, Moon JH, Lee HG, Kim SU, Lee YB. ATP released from beta-amyloid-stimulated microglia induces reactive oxygen species production in an autocrine fashion. Experimental & molecular medicine. 2007;39:820–827. doi: 10.1038/emm.2007.89. [DOI] [PubMed] [Google Scholar]
- 33.Rampe D, Wang L, Ringheim GE. P2X7 receptor modulation of beta-amyloid- and LPS-induced cytokine secretion from human macrophages and microglia. Journal of neuroimmunology. 2004;147:56–61. doi: 10.1016/j.jneuroim.2003.10.014. [DOI] [PubMed] [Google Scholar]
- 34.Kimura N, Takahashi M, Tashiro T, Terao K. Amyloid beta up-regulates brain-derived neurotrophic factor production from astrocytes: rescue from amyloid beta-related neuritic degeneration. Journal of neuroscience research. 2006;84:782–789. doi: 10.1002/jnr.20984. [DOI] [PubMed] [Google Scholar]
- 35.Huang EJ, Reichardt LF. Trk receptors: roles in neuronal signal transduction. Annual review of biochemistry. 2003;72:609–642. doi: 10.1146/annurev.biochem.72.121801.161629. [DOI] [PubMed] [Google Scholar]
- 36.Chakravarthy B, et al. Amyloid-beta peptides stimulate the expression of the p75(NTR) neurotrophin receptor in SHSY5Y human neuroblastoma cells and AD transgenic mice. Journal of Alzheimer’s disease: JAD. 2010;19:915–925. doi: 10.3233/JAD-2010-1288. [DOI] [PubMed] [Google Scholar]
- 37.Lu B, Pang PT, Woo NH. The yin and yang of neurotrophin action. Nature reviews. Neuroscience. 2005;6:603–614. doi: 10.1038/nrn1726. [DOI] [PubMed] [Google Scholar]
- 38.Ferrer I, Puig B, Blanco R, Marti E. Prion protein deposition and abnormal synaptic protein expression in the cerebellum in Creutzfeldt-Jakob disease. Neuroscience. 2000;97:715–726. doi: 10.1016/S0306-4522(00)00045-2. [DOI] [PubMed] [Google Scholar]
- 39.Bell KF, Claudio Cuello A. Altered synaptic function in Alzheimer’s disease. Eur J Pharmacol. 2006;545:11–21. doi: 10.1016/j.ejphar.2006.06.045. [DOI] [PubMed] [Google Scholar]
- 40.Hong S, et al. Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science. 2016;352:712–716. doi: 10.1126/science.aad8373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Terry RD, et al. Physical basis of cognitive alterations in Alzheimer’s disease: synapse loss is the major correlate of cognitive impairment. Annals of neurology. 1991;30:572–580. doi: 10.1002/ana.410300410. [DOI] [PubMed] [Google Scholar]
- 42.Baazaoui N, Flory M, Iqbal K. Synaptic Compensation as a Probable Cause of Prolonged Mild Cognitive Impairment in Alzheimer’s Disease: Implications from a Transgenic Mouse Model of the Disease. Journal of Alzheimer’s disease: JAD. 2017;56:1385–1401. doi: 10.3233/JAD-160845. [DOI] [PubMed] [Google Scholar]
- 43.Head E, et al. Synaptic proteins, neuropathology and cognitive status in the oldest-old. Neurobiology of aging. 2009;30:1125–1134. doi: 10.1016/j.neurobiolaging.2007.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Scheff SW, Price DA. Alzheimer’s disease-related alterations in synaptic density: neocortex and hippocampus. Journal of Alzheimer’s disease: JAD. 2006;9:101–115. doi: 10.3233/JAD-2006-9S312. [DOI] [PubMed] [Google Scholar]
- 45.Koppensteiner P, et al. Time-dependent reversal of synaptic plasticity induced by physiological concentrations of oligomeric Abeta42: an early index of Alzheimer’s disease. Scientific reports. 2016;6:32553. doi: 10.1038/srep32553. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Mufson EJ, et al. Molecular and cellular pathophysiology of preclinical Alzheimer’s disease. Behav Brain Res. 2016;311:54–69. doi: 10.1016/j.bbr.2016.05.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kim KH, Son SM, Mook-Jung I. Contributions of microglia to structural synaptic plasticity. Journal of experimental neuroscience. 2013;7:85–91. doi: 10.4137/JEN.S11269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Salmina AB. Neuron-glia interactions as therapeutic targets in neurodegeneration. Journal of Alzheimer’s disease: JAD. 2009;16:485–502. doi: 10.3233/JAD-2009-0988. [DOI] [PubMed] [Google Scholar]
- 49.Sheridan GK, Murphy KJ. Neuron-glia crosstalk in health and disease: fractalkine and CX3CR1 take centre stage. Open biology. 2013;3:130181. doi: 10.1098/rsob.130181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Keren-Shaul H, et al. A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease. Cell. 2017;169:1276–1290 e1217. doi: 10.1016/j.cell.2017.05.018. [DOI] [PubMed] [Google Scholar]
- 51.Gerace E, Landucci E, Scartabelli T, Moroni F, Pellegrini-Giampietro DE. Rat hippocampal slice culture models for the evaluation of neuroprotective agents. Methods in molecular biology. 2012;846:343–354. doi: 10.1007/978-1-61779-536-7_29. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.