Neural Plasticity

Neural Plasticity / 2016 / Article
Special Issue

DNA Damage, Neurodegeneration, and Synaptic Plasticity

View this Special Issue

Research Article | Open Access

Volume 2016 |Article ID 3707406 |

Emmanuelle Gruz-Gibelli, Natacha Chessel, Clélia Allioux, Pascale Marin, Françoise Piotton, Geneviève Leuba, François R. Herrmann, Armand Savioz, "The Vitamin A Derivative All-Trans Retinoic Acid Repairs Amyloid-β-Induced Double-Strand Breaks in Neural Cells and in the Murine Neocortex", Neural Plasticity, vol. 2016, Article ID 3707406, 11 pages, 2016.

The Vitamin A Derivative All-Trans Retinoic Acid Repairs Amyloid-β-Induced Double-Strand Breaks in Neural Cells and in the Murine Neocortex

Academic Editor: Daniela Merlo
Received21 Aug 2015
Accepted13 Oct 2015
Published03 Jan 2016


The amyloid-β peptide or Aβ is the key player in the amyloid-cascade hypothesis of Alzheimer’s disease. Aβ appears to trigger cell death but also production of double-strand breaks (DSBs) in aging and Alzheimer’s disease. All-trans retinoic acid (RA), a derivative of vitamin A, was already known for its neuroprotective effects against the amyloid cascade. It diminishes, for instance, the production of Aβ peptides and their oligomerisation. In the present work we investigated the possible implication of RA receptor (RAR) in repair of Aβ-induced DSBs. We demonstrated that RA, as well as RAR agonist Am80, but not AGN 193109 antagonist, repair Aβ-induced DSBs in SH-SY5Y cells and an astrocytic cell line as well as in the murine cortical tissue of young and aged mice. The nonhomologous end joining pathway and the Ataxia Telangiectasia Mutated kinase were shown to be involved in RA-mediated DSBs repair in the SH-SY5Y cells. Our data suggest that RA, besides increasing cell viability in the cortex of young and even of aged mice, might also result in targeted DNA repair of genes important for cell or synaptic maintenance. This phenomenon would remain functional up to a point when Aβ increase and RA decrease probably lead to a pathological state.

1. Introduction

DNA damage, such as DNA single- or double-strand breaks (DSBs), is known to occur in aging [1, 2] as well as in Alzheimer’s disease (AD) [26]. Recently DSBs were shown to be produced by Aβ  or amyloid-β peptides [7, 8] through oxidative stress [9]. Furthermore, Aβ peptides not only increase neuronal vulnerability (e.g., apoptosis) in DNA-dependent Protein Kinase (DNA-PK) deficient mice, a key enzyme of the Nonhomologous End Joining (NHEJ) pathway involved in DSBs repair [10], but also reduce the activity of this enzyme [11, 12]. Thus, extracellular Aβ peptides trigger DSBs production and impair DSBs repair.

However, if numerous factors are contributing to the formation or increased levels of Aβ peptide, such as mainly age, the apoE4 allele, cholesterol rich food, or glucocorticoid stress hormone dexamethasone, others factors, such as the apoE2 allele and the growth factor BDNF, are neuroprotective [13, 14] or participate in “adaptive cellular responses” [15]. Among them, some even diminishes DNA damage. This is the case of glutamine that reduces etoposide-induced damage [16] and of NAD that attenuates Aβ-induced DNA damage [8].

In this study we were particularly interested in all-trans retinoic acid (RA) [1720], a derivative of vitamin A [21]. RA is known to be involved in development, neuronal differentiation [22], spine formation through the RARα receptor [23], cell growth arrest in anticancer therapy [24], and memory decline in aging [2527]. The neuroprotective role of vitamin A and RA in relation to AD and to the β-amyloid cascade—not to DNA DSBs—has intensively been studied, for example, [28]. Firstly, RA was shown to increase, via its RARα receptor, the expression of the major α-secretase, ADAM10 (A Disintegrin and Metalloproteinase domain-containing protein 10), diminishing the production of Aβ peptides [29]. This effect is mediated by RA-responsive elements upstream of the ADAM10 coding region [30, 31]. RA can also inhibit the γ-secretase activity through activation of the Extracellular Signal Regulated Kinase, ERK1/2 [32]. Secondly, vitamin A and its derivatives appear to inhibit Aβ oligomerisation in vitro, Aβ deposition, and tau phosphorylation in AD mouse models [33]. Thirdly, RARα signaling removes Aβ plaques and induces Aβ oligomers clearance via Neprilysin and Insulin Degrading Enzyme [34]. On the contrary, Aβ is increased in the cerebral vasculature while RARα is decreased in the neocortex of rats maintained on a 1-year retinoid-deficient diet [35]. Finally, following a RA treatment in APP/PS1 double-transgenic mice, Aβ deposits, AICDs (the Amyloid precursor protein Internal C-terminal Domains), tau phosphorylation, and glial response were decreased, whereas spatial learning was improved [36].

RAR are major players in the neuroprotective effects of RA. RA by binding to them allows the formation of RAR/RXR heterodimers and the replacement of corepressors, such as HDAC (histone deacetylase), by coactivators, such as CBP (CREB-binding protein). The histone acetyltransferase activity of CBP [37] and the down-regulation of DNA methyltransferases [24] result in RA-dependent transcription. Indeed, RA hypomethylates promoters, such as the one of RARβ2 or of methyltransferases, altering gene transcription [24].

According to these data, we wondered if, as a consequence of local chromosome relaxation, DNA repair proteins [2], such as the catalytic subunit of DNA-PK and Ataxia Telangiectasia Mutated kinase (ATM), could be recruited at chromosome sites of RA-dependent gene expression and if DSBs could be repaired at these sites. We have investigated whether RA and its receptor (RAR) might be involved, not in prevention of Aβ synthesis, Aβ oligomerisation, and plaques removal, as already shown, but in repair of Aβ-induced DSBs. We showed—to our knowledge for the first time—that this is indeed the case by studying neuronal and astrocytic cell lines as well as neocortical tissue from young and old mice. Furthermore, we examined the repair mechanisms involved and the consequences on cell viability, in the search for effective early AD therapies.

2. Materials and Methods

2.1. Mice, Tissue Samples, and Dissections

C57BL/6J male mice (Janvier, Le Genest-St-Isle, France) were sacrificed at 4 months (young adults) and at 16 months (aged adults). Brains were quickly removed and cortices dissected under a binocular microscope, weighted, and homogenized (about 5 sec with a Polytron apparatus, VWR International) in neurobasal medium (Gibco Life Technologies). The homogenized tissue was immediately treated as described below. Animals were handled in accordance with Federal Swiss Veterinary regulations and approval.

2.2. Culture of Neuronal SH-SY5Y Cells and of Astrocytic DI TNC1 Cells

Human SH-SY5Y cells (European Collection of Animal Cell Culture, UK) were routinely grown in a 37°C incubator containing 5% CO2/95% humidified air in RPMI-1640 (Gibco Life Technologies) with 10% FCS (Bioconcept, Switzerland), 2 mM L-glutamine (Gibco Life Technologies), 100 IU/mL penicillin G, and 100 μg/mL streptomycin (Invitrogen). Cells were halved every 5 to 6 days. For this purpose, the confluent cells were released in DPBS (150 mM NaCl, 3 mM KCl, 1.5 mM KH2PO4, 7.9 mM Na2HPO4·2H2O, and 0.1 mM EDTA; pH 7.4), centrifuged at 1000 rpm during 5 min, and resuspended in RPMI-1640 and 10% FCS at the desired dilution.

The DI TNC1 cell line [38, 39] was grown in DMEM medium (Sigma) supplemented with 10% FCS in a 37°C incubator containing 5% CO2/95% humidified air. Confluent cells were released in trypsin solution (0.25%), centrifuged at 1100 rpm during 5 min, and resuspended in DMEM with 10% FCS at the desired dilution.

Cells were photographed with an inverted phase contrast microscope (ZEISS Telaval 31) using a photo camera (Leica DFC 490) with the FireCam analyst software (Leica).

2.3. Tissue and Cell Treatments

For the cell treatments, two days before experiment, the medium with 10% FCS was replaced by the medium with 1% FCS. The cultured cells and the homogenized cortical tissue (see before) were treated or not with 20 μM monomeric Aβ1–42 peptides (Enzo Life Sciences), during the first 30 min, then with or without 5 μM RA (Sigma-Aldrich) for 30 more min, resulting in four combinations of 2 × 30 min treatments (Ø-Ø; Aβ1–42-Ø; Ø-RA; Aβ1–42-RA). Other treatments were carried out with 20 μM Aβ42–1, 20 μM Aβ1–40 (Enzo Life Sciences), 10 μM RARα/β agonist Am80 (Santa Cruz Biotechnology), 1–50 μM RARα/β/γ antagonist AGN 193109 (Labforce), 50 μM caspase-3 inhibitor z-VAD-FMK (Santa Cruz Biotechnology) [40], 3 μM HDAC inhibitor trichostatin A (TSA; Sigma) [41], 10 μM inhibitor of Ataxia Telangiectasia Mutated kinase or ATM KU 55933 (KU; Labforce), and 150 μM inhibitor II of the catalytic subunit of DNA-PK NU 7026 (NU; Calbiochem), in combination with RA and/or Aβ1–42 for 30 min or 24 h. All treatments were carried out in triplicate in a 37°C incubator containing 5% CO2 and 95% humidified air.

2.4. Neutral Single-Cell Gel Electrophoresis (Comet Assay)

DSBs were measured in SH-SY5Y cells, in DI TNC1 cells, and in the homogenized cortical tissue using Trevigen Comet AssayTM kit (AMS Biotechnology, UK) with the following modifications. After treatment, cells were resuspended in ice-cold Ca2+ and Mg2+ free PBS to a concentration of 1.0 to 1.5 × 105 cells/mL. The same number of cells from the dissociated cortical tissue was resuspended in the same solution with the addition of 20 mM EDTA and processed as for the cell cultures. An aliquot of 50 μL cells was added to 500 μL of 1% molten low-melting agarose (Seaplaque, FMC BioProduct, USA) kept at 42°C. Fifty microliters was immediately spread on a comet slide (AMS Biotechnology), which was incubated at 4°C in the dark for 10 min to accelerate agarose gelling and then transferred to prechilled lysis solution (AMS Biotechnology) for 60 min at 4°C. Subsequently, the slide was incubated in Neutral Electrophoresis Buffer (500 mM Tris base, 1.5 M sodium acetate, pH 9.0) for 30 min at 4°C. DSBs were separated by electrophoresis at 26 V for 45 min. Then, the slides were immersed in 70% ethanol at room temperature for 30 min and air-dried. DNA was stained 10 min at room temperature with 100 μL SYBR Green I dye (Gibco Life Technologies) diluted 1 : 1000 in water and then rinsed with distilled water. Comets of at least 30 cells per treatments were immediately photographed using an Olympus digital camera attached to an Olympus BX51 epifluorescence microscope (Axio vision rel. 4.6).

2.5. Analysis of DSBs on Agarose Gel Electrophoresis

To visualize the average tail length of a treated cell population, 10 μL of SH-SY5Y cells (1 × 105 cells/mL) was mixed with 5 μL lysis buffer (AMS Biotechnology) for 5 min at 4°C and then 1.5 μL Tris EDTA 10x was added. The whole sample was loaded into a slot of 1% agarose MP gel (Roche Life Science). A 1 kb ladder (Invitrogen) was used as a size marker. Electrophoresis was run for 40 min at 66 mV. The agarose gel was stained by ethidium bromide (10 mg/mL) and analyzed with a GS-700 imaging densitometer (Bio-Rad). Signal intensities were measured with the molecular analyst software program (Bio-Rad).

2.6. Immunocytochemistry

Cortices of 4- () and 16-month-old C57BL/6J male mice () were mechanically dissociated and fixed for 30 min at room temperature in 4% paraformaldehyde in PBS on coverslips pretreated with 100% alcohol. After rinsing for 3 × 5 min with PBS, cells were incubated for 1 h30 with the primary antibody diluted in PBS. The mouse monoclonal anti-bIII-tubulin antibody (Sigma), diluted 1 : 1000 in PBS, and the mouse monoclonal anti-glial fibrillary acidic protein antibody (GFAP, Sigma), diluted 1 : 500, were used. After rinsing for 5 min with PBS, coverslips were incubated for 1 h at room temperature with the secondary anti-mouse IgG antibody coupled to AlexaFluor 488 (Molecular probes/Invitrogen), diluted 1 : 1000, in presence of Dapi (1.0 μg/mL, Sigma) and rinsed for 3 × 5 min with PBS, and then mounted on glass slides fixed with Fluorsave (Calbiochem).

Nine to twelve pictures of immunostained cells, corresponding to 34 to 69 cells, were taken for each mouse using a Zeiss Axioskop 2 plus microscope (Carl Zeiss, Feldbach, Switzerland) equipped with epifluorescence and were digitalized with an Axiocam camera.

2.7. Cell Viability Assay

For assessing cell viability of SH-SY5Y cells and DI TNC1 cells, 20000 cells/well were grown in 1 mL RPMI-1640 with 10% FCS for 6–8 days and, two days before the experiment, the medium was replaced by RPMI-1640 with 1% FCS. For the cortical tissue, 1 mg freshly homogenized tissue was resuspended in 1 mL of the same medium. The cells were treated or not during 30 min with 5 μM RA and/or 20 μM Aβ1–42 monomers or 3.3 μL digitonin (CellTiter-Glo Luminescent Cell Viability Assay, Promega) used as a positive control to decrease cell viability. 100 μL of cell suspension was shaken for 2 min with 100 μL of CellTiter-Glo Reagent prepared according to the manufacturer (CellTiter-Glo Luminescent Cell Viability Assay, Promega) to induce cell lysis and to release the cell ATP content, as indicator of metabolic activity. After 10 min incubation at room temperature, luminescence (in relative light units) was recorded with a luminometer (GloMax 20/20, Promega). Medium without cells or tissue samples resulted in background luminescence.

2.8. Caspase-Glo

For assessing caspase-3 and caspase-7 activation, SH-SY5Y cells were grown in 1 mL RPMI-1640 with 10% FCS. Two days before the experiment, the medium was replaced by RPMI-1640 with 1% FCS. Cells were treated or not during 30 min or 24 h with 20 μM Aβ1–42, 50 μM z-VAD (in DMSO, Merk), or 100 nM staurosporine (Sigma-Aldrich). 100 μL of cell suspension was mixed for 2 min with 100 μL of Caspase-Glo 3/7 Reagent prepared according to the manufacturer (Caspase-Glo 3/7 Assay, Promega) to induce cell lysis and cleavage of a luminogenic substrate of caspase-3/caspase-7. After 1 h30 incubation at room temperature, luminescence was recorded with a luminometer (GloMax 20/20, Promega). A control without cells was also used.

2.9. Statistical Analysis

For the comet assay, values of mean comet tail length were compared for each condition by a one-way analysis of variance (ANOVA) to establish the effects of various treatments. When overall statistically significant differences in treatments effect were obtained by ANOVA, comparisons of means among subgroups were made after Bonferroni corrections. In parallel, the nonparametric Kruskal-Wallis test was used to compare the shape of comet tail distribution also with Bonferroni corrections to compare subgroups. The Kruskal-Wallis analysis is particularly suitable when the number of measures is small (less than 15 per group) or when the distribution is not Gaussian (asymmetric box plot). Level of significance is . Analyses were carried out with the Stata 13.1 software (Stat Corp., TX, USA, 2013).

3. Results

3.1. Retinoic Acid Repairs Aβ-Induced DSBs in SH-SY5Y and DI TNC1 Cells

To demonstrate that RA can repair Aβ-induced DSBs, SH-SY5H cells and astrocytic DI TNC1 cells were treated with Aβ1–42 for half an hour before the addition or not of RA for also 30 min. The presence of RA resulted in shorter tail lengths comparable to untreated lysed cells (Figures 1(a) and 1(b)). The mean comet tail length was significantly higher in Aβ treated SH-SY5Y cells as well as DI TNC1 cells compared to all other treatments (Figures 1(c) and 1(d)). These results were corroborated by an independent experiment showing on an agarose gel comet tails starting from their cell nuclei loaded into the gel’s slots. Short DNA fragments—between about 0.85 kb and 3.0 kb—were generated more frequently when Aβ was present and were reduced in number in presence of RA (Figure 1(e)). Apoptotic fragments of × 180 bp could not be detected, suggesting that apoptosis was not activated under these 30 min treatments. Quantification of signals intensities up to the gel’s slots revealed that DSBs were almost halved when RA was added after Aβ (Figure 1(f)).

3.2. Retinoic Acid Repairs Aβ1–42-Induced DSBs in a Concentration-Dependent Manner via RARα/β in SH-SY5Y Cells

We demonstrated that DSBs are induced specifically by the Aβ1–42 peptide and not by the nonpathological Aβ1–40 form or a control peptide with the reverse sequence Aβ42–1, all treatments being carried out for 30 min with 20 μM Aβ peptides (Figure 2(a)). A similar result was obtained with DI TNC1 cells. Furthermore, a dose-response curve (Figure 2(b)) showed that RA repairs DSBs most efficiently at concentrations between 1 μM and 50 μM, with a peak of maximal efficiency at 5 μM, whereas it had no effect at 0.5 μM or 500 μM. Using a cell viability assay, we observed that a treatment with 0.5 μM RA (101.3 ± 15.3%) and 1 μM RA (103.8 ± 8.6) resulted in a similar viability compared to that of the untreated cells (100 ± 10%). However, the viability increased at 5 μM RA (135.8 ± 30.8%), 10 μM RA (152 ± 12.7%), and 50 μM RA (126 ± 30.2) but dropped at 500 μM RA (27.1 ± 2.1) ().

Furthermore, we demonstrated in SH-SY5Y cells that the RARα/β agonist Am80 used at a concentration of 10 μM had the same effect compared to RA (Figure 2(c)). Both significantly reduced Aβ-induced DSBs. Moreover, no significant difference was observed between Am80 and RA suggesting that in SH-SY5Y cells the RARα/β receptor was sufficient to mediate all DSBs repair activity, thus excluding the involvement of other potential receptors, such as PPARβ/δ [42]. Finally, the addition of 1 μM RARα/β/γ antagonist AGN 193109 to 5 μM RA significantly impaired the diminution of DSBs due to the RA treatment. This effect was even increased with a higher concentration of AGN (50 μM compared to 1 μM), clearly demonstrating that the binding of RA to its RAR is needed to repair DSBs (Figure 2(d)).

3.3. Retinoic Acid Repairs Aβ-Induced DSBs in the Neocortex of Young and Aged C57BL/6J Mice

RA added half an hour after the Aβ1–42 treatment can also repair DSBs in cells originating from the murine cortex of young () and aged C57BL/6J mice (). The presence of RA resulted in shorter tail lengths comparable to untreated lysed cells and cells treated with RA alone (Figures 3(a) and 3(b)). The mean comet tail length was significantly higher in Aβ treated cortical cells compared to all other conditions in the young as well as in the aged mice (Figures 3(c) and 3(d)). However, the difference in mean comet tail lengths between the Aβ treatment and the other conditions was less important in the aged compared to the young mice possibly due to a decreased metabolism. Indeed, the difference between the Aβ and the Aβ + RA treatment was statistically different in all 3 young mice, but only in 2 aged mice out of 3. We further showed by immunocytochemistry (Figure 3(e)) that the cells analyzed in the comet assay consist in neurons (68% for pooled age groups) as well as astrocytes (26%) and that the ratio of astrocytes/neurons (0.38) was similar to that reported in the literature [43] (Figure 3(f)).

3.4. Histone Deacetylase Inhibitor Trichostatin A and/or Retinoic Acid Induce DSBs Repair through DNA-PK and ATM in SH-SY5Y Cells

To ascertain the mode of action of RA via its receptor RAR, SH-SY5Y cells were treated with histone deacetylase (HDAC) inhibitor trichostatin A (TSA). We observed that TSA decreased mean tail length produced by Aβ as efficiently as RA (Figure 4(a)). Moreover, DSBs were significantly decreased in cells treated with TSA + RA compared to RA treated cell, suggesting a possible synergetic effect of both chemicals as they act at different sites of the same receptor complex [37].

Moreover, the inhibition of the RA repair activity was shown to be mediated both by ATM using ATM inhibitor KU 55933 and by DNA-PK using DNA-PK inhibitor NU 7026 (Figure 4(b)). The ATM inhibitor induced as many DSBs as the DNA-PK inhibitor or the Aβ treatment. In presence of RA, inhibition of both pathways, but not of only one, produced a similar amount of DSBs as the Aβ treatment. Thus, both ATM and DNA-PK protein kinases need to be present, so that RA is able to repair DSBs in SH-SY5Y cells.

3.5. Effects of Aβ on Apoptosis and of RA on Cell Viability

SH-SY5Y cells were treated with Aβ and/or caspase-3 inhibitor z-VAD. Staurosporine was used as positive control for apoptotic cell death. Only this last compound resulted in cell death after 24 h, but not after 30 min treatment (Figure 5(a)). However, in these cells, caspase-3 was already active after 30 min as demonstrated by z-VAD treatment (Figure 5(b)). Staurosporine was activating caspase-3 and caspase-7 after 30 min and even more after 24 h compared to the untreated cells. However, statistical significance was not reached comparing control treatment to staurosporine treatment, even if a tendency towards significance increased at 24 h () compared to 30 min (). After 30 min, caspases were already activated but cell death was not observed, whereas after 24 h cells were dead and caspases could not be activated further. A comet assay carried out under the same conditions (Figure 5(c)) revealed that the mean comet tail length was not diminished by z-VAD in presence of Aβ after 30 min compared to the Aβ treatment. In this case, DSBs were not due to activated caspase-3. After 24 h, the mean comet tail length was significantly reduced by z-VAD in presence of Aβ suggesting the production of DSBs due to activated caspase-3. Overall, Aβ-induced DSBs appear not to be related to proapoptotic events after 30 min treatment.

Furthermore, cell viability was measured by quantification of intracellular ATP in comparison to cells lysed by digitonin. After 30 min Aβ treatment in presence or not of RA, DI TNC1 cell viability was neither decreased nor increased, whereas it was the case subsequent to the digitonin treatment (Figure 5(d)). An identical observation was made for SH-SY5H cells (not shown). Cells from 4-month-young neocortical tissue showed after 1 h a much higher viability than cells from 16-month-old tissue (Figure 5(e)), suggesting a higher fragility of the latter tissue in the in vitro conditions. Overall viability dropped after 30 min Aβ treatment due to decreased intracellular ATP in the young tissue (). However, this decrease was less significant when RA was added to Aβ for both young and old cortical tissues (). We observed an increase in viability of about 53% for the young tissue and of about 59% for the old tissue, indicating that under the experimental conditions RA enhances viability at a time when DSBs are being repaired.

4. Discussion

Our main observation is that RA is involved in Aβ-induced DSBs repair in neuronal and astrocytic cell lines as well as in the cortical tissue, likely in cortical neurons as well as astrocytes, and in young and even in aged mice. Truly the addition of RA after DSBs production by Aβ1–42 treatment can repair DSBs. This was shown by two independent methods: comet assay and gel electrophoresis with SH-SY5Y neuroblastoma cells. Thus, according to these data, RA and its receptor (RAR) are involved not only in the prevention of Aβ synthesis, Aβ oligomerisation, and plaques removal, as already shown [29, 3234, 36], but also in the Aβ-induced DSBs repair.

4.1. Aβ1–42 Induces DSBs with a Pathological Potential

We choose to grow SH-SY5Y and DI TNC1 cells in presence of FCS 1% instead of FCS 10%. In both cases, Aβ induced significantly more DSBs, but in the former condition cells were more differentiated as in the cortical tissue. L-Glutamine was also added as it is already known to protect against DSBs formation [16] and only the effect of RA had to be tested. L-Glutamine was equally added to the homogenized cortical tissue but B27 supplement was avoided as it contains RA. Interesting was the observation that only the most pathological form of Aβ, Aβ1–42, was inducing DSBs in both of the SH-SY5Y and DI TNC1 cells, suggesting that Aβ1–42-induced DSBs might play a role in Alzheimer’s pathology. Noteworthy is also the fact that Aβ1–42 treatment appeared to be less efficient in inducing DSBs in the aged than in the young murine cortical tissue. This cannot be due to the state of the Aβ that corresponds to a mixture of monomer and oligomers in both cases [44] but rather to the state of the tissue, such as a lower metabolism of the aged cortical tissue.

4.2. RA Has a Counteracting Effect on DSBs Production

RA has been shown to reduce DSBs in a concentration-dependent manner in SH-SY5Y cells. 5 μM RA appears to be optimal for decreasing DSBs and increasing cell viability, that is, ATP concentration, compared to the untreated cells. Higher or lower RA concentrations resulted in unchanged DSBs levels compared to the control cells, whereas increased RA concentrations only decreased cell viability. This variation of RA effect according to its concentration is compatible with the observation that when neuronal activity is low, endogenous RA synthesis is locally activated in order to maintain the structures of neurons (homeostatic synaptic plasticity) and that conversely RA synthesis decreases when neuronal activity increases [20]. It has to be observed that the DSBs levels following the RA treatments were not consistently lower than the background DSBs levels of the untreated samples. This phenomenon might be due to variations of endogenous RA levels in relation to cell differentiation or division. Furthermore, RA was shown to decrease Aβ-induced DSBs through the RARα/β receptors by using the Am80 agonist and the AGN 193109 antagonist. The agonist being as effective as RA in reducing DSBs, an effect of RA through another receptor, for example, RXR-PPARβ/δ [42], appears excluded in SH-SY5Y cells. The observation that the HDAC inhibitor TSA, which enables derepression of Retinoic Acid Response Element-dependent gene expression, results in a similar decrease of Aβ-induced mean comet tail length as RA strengthens the role of RAR in repair of Aβ-induced DSBs. Reparation might occur either through expression of genes involved in DSBs repair or more directly through chromatin decondensation at sites of RA-dependent gene expression allowing access to proteins involved in DSBs repair. One of these proteins is DNA-PK of the NHEJ repair pathway. However, its inhibitor NU 7026, used at a concentration of 150 μM, resulted only in a partial repair of Aβ-induced DSBs compared to the RA treatment. A concentration effect of NU was excluded as a dose-response curve demonstrated that mean comet tails lengths reached a maximum size at 150 to 250 μM NU and decreased significantly at 50 to 100 μM NU (data not shown). The ATM inhibitor, KU 55933, resulted equally in a partial repair of Aβ-induced DSBs. We showed in SH-SY5Y cells that both of DNA-PK and ATM, known to be complementary [45, 46], enable the complete counteracting effect of RA on DSBs production.

4.3. Adaptive Cellular Response due to RA-Mediated DSBs Repair: The DSB-PRAE Hypothesis

We observed that short-term (not long-term) treatment with Aβ is not decreasing cell viability or causing cell death and that caspase-3 was activated at the same level in presence of Aβ or not in SH-SY5Y grown with 1% FCS. Indeed, even staurosporine is known to induce neurite outgrowth in the short term before inducing cell death and apoptotic DNA fragments in the long term [47]. We also did not observe apoptotic fragments of × 180 bp after 30 min Aβ treatment, suggesting that apoptosis is not yet activated under these conditions. However, at that time, DSBs are induced by Aβ, and if not repaired in the longer term, they might be deleterious [48]. Furthermore, in the short time, RA can repair DSBs and appears even to increase viability in the cortex of young and to a lesser extent of aged mice. The fact that RA is repairing DSBs as Am80 and trichostatin A and that both of them alter memorization [49, 50] suggests a similar role for RA. We make the hypothesis that whereas Aβ produces DSBs, RA results in targeted error-prone repair of the subset of DNA regions with RA-dependent gene expression, involved in particular in neuronal or synaptic maintenance [23]. This process of selective DNA repair might result in a neuronal state adapted to the metabolic changes occurring with aging. This phenomenon of “DSBs production and repair-dependent adaptive gene expression” (DSB-PRAE hypothesis) would remain functional up to a pathological threshold reached by Aβ increase and RA decreased response with aging and might be an explanation for the role of DSBs in memorization [7].

In conclusion, we have found that RA repairs Aβ-induced DSBs in neural cells of the cerebral cortex. Our data are in favor of a role of RA in increasing neural viability and also possibly in providing a neuronal adaptive response. However, this should be demonstrated notably in an AD mouse model. Furthermore, our data suggest that a better knowledge of the mechanisms involved in Aβ-induced DSBs might provide additional means to target pathological Aβ-induced changes, not just by impairing the Aβ-amyloid cascade but by repairing some of its consequences.

Conflict of Interests

The authors declare no actual or potential conflict of interests.

Authors’ Contribution

Emmanuelle Gruz-Gibelli, Natacha Chessel, Clélia Allioux, Pascale Marin, and Françoise Piotton have carried out the experiments; Geneviève Leuba has contributed to the project’s design and to the writing of the paper; statistics were made by François R. Herrmann; Armand Savioz has lead the work.


Financial and material support was institutional.


  1. U. Swain and K. Subba Rao, “Study of DNA damage via the comet assay and base excision repair activities in rat brain neurons and astrocytes during aging,” Mechanisms of Ageing and Development, vol. 132, no. 8-9, pp. 374–381, 2011. View at: Publisher Site | Google Scholar
  2. R. Madabhushi, L. Pan, and L.-H. Tsai, “DNA damage and its links to neurodegeneration,” Neuron, vol. 83, no. 2, pp. 266–282, 2014. View at: Publisher Site | Google Scholar
  3. F. Coppedè and L. Migliore, “Evidence linking genetics, environment, and epigenetics to impaired DNA repair in Alzheimer's disease,” Journal of Alzheimer's Disease, vol. 20, no. 4, pp. 953–966, 2010. View at: Publisher Site | Google Scholar
  4. E. Adamec, J. P. Vonsattel, and R. A. Nixon, “DNA strand breaks in Alzheimer's disease,” Brain Research, vol. 849, no. 1-2, pp. 67–77, 1999. View at: Publisher Site | Google Scholar
  5. N.-H. Myung, X. Zhu, I. I. Kruman et al., “Evidence of DNA damage in Alzheimer disease: phosphorylation of histone H2AX in astrocytes,” Age, vol. 30, no. 4, pp. 209–215, 2008. View at: Publisher Site | Google Scholar
  6. E. Mullaart, M. E. T. I. Boerrigter, R. Ravid, D. F. Swaab, and J. Vijg, “Increased levels of DNA breaks in cerebral cortex of alzheimer's disease patients,” Neurobiology of Aging, vol. 11, no. 3, pp. 169–173, 1990. View at: Publisher Site | Google Scholar
  7. E. Suberbielle, P. E. Sanchez, A. V. Kravitz et al., “Physiologic brain activity causes DNA double-strand breaks in neurons, with exacerbation by amyloid-β,” Nature Neuroscience, vol. 16, no. 5, pp. 613–621, 2013. View at: Publisher Site | Google Scholar
  8. M.-F. Wu, J.-H. Yin, C.-S. Hwang, C.-M. Tang, and D.-I. Yang, “NAD attenuates oxidative DNA damages induced by amyloid beta-peptide in primary rat cortical neurons,” Free Radical Research, vol. 48, no. 7, pp. 794–805, 2014. View at: Publisher Site | Google Scholar
  9. M. A. Lovell and W. R. Markesbery, “Oxidative damage in mild cognitive impairment and early Alzheimer's disease,” Journal of Neuroscience Research, vol. 85, no. 14, pp. 3036–3040, 2007. View at: Publisher Site | Google Scholar
  10. C. Culmsee, S. Bondada, and M. P. Mattson, “Hippocampal neurons of mice deficient in DNA-dependent protein kinase exhibit increased vulnerability to DNA damage, oxidative stress and excitotoxicity,” Molecular Brain Research, vol. 87, no. 2, pp. 257–262, 2001. View at: Publisher Site | Google Scholar
  11. A. Cardinale, M. Racaniello, S. Saladini et al., “Sublethal doses of β-amyloid peptide abrogate DNA-dependent protein kinase activity,” The Journal of Biological Chemistry, vol. 287, no. 4, pp. 2618–2631, 2012. View at: Publisher Site | Google Scholar
  12. D. A. Shackelford, “DNA end joining activity is reduced in Alzheimer's disease,” Neurobiology of Aging, vol. 27, no. 4, pp. 596–605, 2006. View at: Publisher Site | Google Scholar
  13. A. Savioz, G. Leuba, P. G. Vallet, and C. Walzer, “Contribution of neural networks to Alzheimer disease's progression,” Brain Research Bulletin, vol. 80, no. 4-5, pp. 309–314, 2009. View at: Publisher Site | Google Scholar
  14. A. Savioz, G. Leuba, and P. G. Vallet, “A framework to understand the variations of PSD-95 expression in brain aging and in Alzheimer's disease,” Ageing Research Reviews, vol. 18, pp. 86–94, 2015. View at: Publisher Site | Google Scholar
  15. S. J. Texel and M. P. Mattson, “Impaired adaptive cellular responses to oxidative stress and the pathogenesis of Alzheimer's disease,” Antioxidants and Redox Signaling, vol. 14, no. 8, pp. 1519–1534, 2011. View at: Publisher Site | Google Scholar
  16. J. Chen and K. Herrup, “Glutamine acts as a neuroprotectant against DNA damage, beta-amyloid and H2O2-induced stress,” PLoS ONE, vol. 7, no. 3, Article ID e33177, 2012. View at: Publisher Site | Google Scholar
  17. M. A. Kane, A. E. Folias, C. Wang, and J. L. Napoli, “Quantitative profiling of endogenous retinoic acid in vivo and in vitro by tandem mass spectrometry,” Analytical Chemistry, vol. 80, no. 5, pp. 1702–1708, 2008. View at: Publisher Site | Google Scholar
  18. E. A. Werner and H. F. Deluca, “Retinoic acid is detected at relatively high levels in the CNS of adult rats,” American Journal of Physiology—Endocrinology and Metabolism, vol. 282, no. 3, pp. E672–E678, 2002. View at: Publisher Site | Google Scholar
  19. M. A. Lane and S. J. Bailey, “Role of retinoid signalling in the adult brain,” Progress in Neurobiology, vol. 75, no. 4, pp. 275–293, 2005. View at: Publisher Site | Google Scholar
  20. K. D. Shearer, P. N. Stoney, P. J. Morgan, and P. J. McCaffery, “A vitamin for the brain,” Trends in Neurosciences, vol. 35, no. 12, pp. 733–741, 2012. View at: Publisher Site | Google Scholar
  21. M. E. Gottesman, L. Quadro, and W. S. Blaner, “Studies of vitamin A metabolism in mouse model systems,” BioEssays, vol. 23, no. 5, pp. 409–419, 2001. View at: Publisher Site | Google Scholar
  22. Q. Chen, Z. Zhou, L. Zhang, S. Xu, C. Chen, and Z. Yu, “The cellular distribution and Ser262 phosphorylation of tau protein are regulated by BDNF in vitro,” PLoS ONE, vol. 9, no. 3, Article ID e91793, 2014. View at: Publisher Site | Google Scholar
  23. N. Chen and J. L. Napoli, “All-trans-retinoic acid stimulates translation and induces spine formation in hippocampal neurons through a membrane-associated RARalpha,” The FASEB Journal, vol. 22, no. 1, pp. 236–245, 2008. View at: Publisher Site | Google Scholar
  24. J. S. Lim, S.-H. Park, and K. L. Jang, “All-trans retinoic acid induces cellular senescence by up-regulating levels of p16 and p21 via promoter hypomethylation,” Biochemical and Biophysical Research Communications, vol. 412, no. 3, pp. 500–505, 2011. View at: Publisher Site | Google Scholar
  25. D. Bonhomme, V. Pallet, G. Dominguez et al., “Retinoic acid modulates intrahippocampal levels of corticosterone in middle-aged mice: consequences on hippocampal plasticity and contextual memory,” Frontiers in Aging Neuroscience, vol. 6, article 6, 13 pages, 2014. View at: Publisher Site | Google Scholar
  26. N. Etchamendy, V. Enderlin, A. Marighetto et al., “Alleviation of a selective age-related relational memory deficit in mice by pharmacologically induced normalization of brain retinoid signaling,” The Journal of Neuroscience, vol. 21, no. 16, pp. 6423–6429, 2001. View at: Google Scholar
  27. F. Mingaud, C. Mormede, N. Etchamendy et al., “Retinoid hyposignaling contributes to aging-related decline in hippocampal function in short-term/working memory organization and long-term declarative memory encoding in mice,” The Journal of Neuroscience, vol. 28, no. 1, pp. 279–291, 2008. View at: Publisher Site | Google Scholar
  28. M. Obulesu, M. R. Dowlathabad, and P. V. Bramhachari, “Carotenoids and Alzheimer's disease: an insight into therapeutic role of retinoids in animal models,” Neurochemistry International, vol. 59, no. 5, pp. 535–541, 2011. View at: Publisher Site | Google Scholar
  29. C. I. Jarvis, M. B. Goncalves, E. Clarke et al., “Retinoic acid receptor-α signalling antagonizes both intracellular and extracellular amyloid-β production and prevents neuronal cell death caused by amyloid-β,” The European Journal of Neuroscience, vol. 32, no. 8, pp. 1246–1255, 2010. View at: Publisher Site | Google Scholar
  30. C. Prinzen, U. Müller, K. Endres, F. Fahrenholz, and R. Postina, “Genomic structure and functional characterization of the human ADAM10 promoter,” The FASEB Journal, vol. 19, no. 11, pp. 1522–1524, 2005. View at: Publisher Site | Google Scholar
  31. F. Tippmann, J. Hundt, A. Schneider, K. Endres, and F. Fahrenholz, “Up-regulation of the α-secretase ADAM10 by retinoic acid receptors and acitretin,” The FASEB Journal, vol. 23, no. 6, pp. 1643–1654, 2009. View at: Publisher Site | Google Scholar
  32. A. Kapoor, B.-J. Wang, W.-M. Hsu, M.-Y. Chang, S.-M. Liang, and Y.-F. Liao, “Retinoic acid-elicited RARalpha/RXRalpha signaling attenuates Abeta production by directly inhibiting gamma-secretase-mediated cleavage of amyloid precursor protein,” ACS Chemical Neuroscience, vol. 4, no. 7, pp. 1093–1100, 2013. View at: Publisher Site | Google Scholar
  33. K. Ono and M. Yamada, “Vitamin A and Alzheimer's disease,” Geriatrics & Gerontology International, vol. 12, no. 2, pp. 180–188, 2012. View at: Publisher Site | Google Scholar
  34. M. B. Goncalves, E. Clarke, C. Hobbs et al., “Amyloid beta inhibits retinoic acid synthesis exacerbating Alzheimer disease pathology which can be attenuated by an retinoic acid receptor alpha agonist,” The European Journal of Neuroscience, vol. 37, no. 7, pp. 1182–1192, 2013. View at: Publisher Site | Google Scholar
  35. J. P. T. Corcoran, L. S. Po, and M. Maden, “Disruption of the retinoid signalling pathway causes a deposition of amyloid β in the adult rat brain,” The European Journal of Neuroscience, vol. 20, no. 4, pp. 896–902, 2004. View at: Publisher Site | Google Scholar
  36. Y. Ding, A. Qiao, Z. Wang et al., “Retinoic acid attenuates beta-amyloid deposition and rescues memory deficits in an Alzheimer's disease transgenic mouse model,” The Journal of Neuroscience, vol. 28, no. 45, pp. 11622–11634, 2008. View at: Publisher Site | Google Scholar
  37. R. K. Sodhi and N. Singh, “Retinoids as potential targets for Alzheimer's disease,” Pharmacology, Biochemistry, and Behavior, vol. 120, pp. 117–123, 2014. View at: Publisher Site | Google Scholar
  38. E. H. Radany, M. Brenner, F. Besnard, V. Bigornia, J. M. Bishop, and C. F. Deschepper, “Directed establishment of rat brain cell lines with the phenotypic characteristics of type 1 astrocytes,” Proceedings of the National Academy of Sciences of the United States of America, vol. 89, no. 14, pp. 6467–6471, 1992. View at: Publisher Site | Google Scholar
  39. L. Pellerin, M. Stolz, O. Sorg, J.-L. Martin, C. F. Deschepper, and P. J. Magistretti, “Regulation of energy metabolism by neurotransmitters in astrocytes in primary culture and in an immortalized cell line,” Glia, vol. 21, no. 1, pp. 74–83, 1997. View at: Publisher Site | Google Scholar
  40. E. A. Slee, H. Zhu, S. C. Chow, M. MacFarlane, D. W. Nicholson, and G. M. Cohen, “Benzyloxycarbonyl-Val-Ala-Asp (OMe) fluoromethylketone (Z-VAD.FMK) inhibits apoptosis by blocking the processing of CPP32,” Biochemical Journal, vol. 315, no. 1, pp. 21–24, 1996. View at: Publisher Site | Google Scholar
  41. S. Biade, C. C. Stobbe, J. T. Boyd, and J. D. Chapman, “Chemical agents that promote chromatin compaction radiosensitize tumour cells,” International Journal of Radiation Biology, vol. 77, no. 10, pp. 1033–1042, 2001. View at: Publisher Site | Google Scholar
  42. N. Noy, “Between death and survival: retinoic acid in regulation of apoptosis,” Annual Review of Nutrition, vol. 30, pp. 201–217, 2010. View at: Publisher Site | Google Scholar
  43. M. Nedergaard, B. Ransom, and S. A. Goldman, “New roles for astrocytes: redefining the functional architecture of the brain,” Trends in Neurosciences, vol. 26, no. 10, pp. 523–530, 2003. View at: Publisher Site | Google Scholar
  44. P. Fugistier, P. G. Vallet, G. Leuba et al., “A comparison of frailty of primary neurons, embryonic, and aging mouse cortical layers,” Neurobiology of Aging, vol. 35, no. 2, pp. 322–330, 2014. View at: Publisher Site | Google Scholar
  45. B.-S. Lee, E. J. Gapud, S. Zhang et al., “Functional intersection of ATM and DNA-dependent protein kinase catalytic subunit in coding end joining during V(D)J recombination,” Molecular and Cellular Biology, vol. 33, no. 18, pp. 3568–3579, 2013. View at: Publisher Site | Google Scholar
  46. M. Martín, M. Terradas, L. Tusell, and A. Genescà, “ATM and DNA-PKcs make a complementary couple in DNA double strand break repair,” Mutation Research: Reviews in Mutation Research, vol. 751, no. 1, pp. 29–35, 2012. View at: Publisher Site | Google Scholar
  47. J. Boix, N. Llecha, V.-J. Yuste, and J. X. Comella, “Characterization of the cell death process induced by staurosporine in human neuroblastoma cell lines,” Neuropharmacology, vol. 36, no. 6, pp. 811–821, 1997. View at: Publisher Site | Google Scholar
  48. B. Kaina, “DNA damage-triggered apoptosis: critical role of DNA repair, double-strand breaks, cell proliferation and signaling,” Biochemical Pharmacology, vol. 66, no. 8, pp. 1547–1554, 2003. View at: Publisher Site | Google Scholar
  49. K. Kawahara, M. Suenobu, H. Ohtsuka et al., “Cooperative therapeutic action of retinoic acid receptor and retinoid x receptor agonists in a mouse model of Alzheimer's disease,” Journal of Alzheimer's Disease, vol. 42, no. 2, pp. 587–605, 2014. View at: Publisher Site | Google Scholar
  50. Y. I. Francis, M. Fà, H. Ashraf et al., “Dysregulation of histone acetylation in the APP/PS1 mouse model of Alzheimer's disease,” Journal of Alzheimer's Disease, vol. 18, no. 1, pp. 131–139, 2009. View at: Publisher Site | Google Scholar

Copyright © 2016 Emmanuelle Gruz-Gibelli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Related articles

No related content is available yet for this article.
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

No related content is available yet for this article.

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.