We developed a new technique to observe macroautophagy in the brain in vivo and examined whether fasting induced macroautophagy in neurons and how the induction was different between Alzheimer’s disease (AD) model and control mice. Lentivirus for EGFP-LC3 injected into the brain successfully visualized autophagosome in living neurons by two-photon microscopy. The time-lapse imaging revealed that fasting increased the number, size and signal intensity of autophagosome in neurons. In AD model mice, these parameters of autophagosome were higher at the basal levels before starvation and increased more rapidly by fasting than in control mice. However, metabolism of exogenous labeled Aβ evaluated by the new technique suggested that the activated macroautophagy was insufficient to degrade the intracellular Aβ increased by enhanced uptake from extracellular space after fasting. Ordinary immunohistochemistry also revealed that fasting increased intracellular accumulation of endogenous Aβ, triggered cell dysfunction but did not mostly decrease extracellular Aβ accumulation. Moreover, we unexpectedly discovered a circadian rhythm of basal level of macroautophagy. These results revealed new aspects of neuronal autophagy in normal/AD states and indicated usefulness of our method for evaluating autophagy functions in vivo.
Autophagy, especially macroautophagy mediated by autophagosome, has been implicated in various neurodegenerative diseases including AD. Ultrastructural analysis of postmortem human AD brains revealed increased autophagosomes in dystrophic neurites1. Macroautophagy was also suggested to be a pathway of generating amyloid beta (Aβ) in the cytoplasm2. Meanwhile autophagy-related genes were induced in autopsy brains of AD patients3 and autophagosomes were co-localized not only with Aβ in AD but also with a-synuclein and tau aggregation in autopsy brains of Parkinson’s disease and frontotemporal lobar degeneration4, suggesting that misfolded disease proteins might generally induce autophagy.
Some neurodegenerative diseases have more direct relationships to autophagy5. Familial Parkinson’s disease causative proteins, PARK2/Parkin and PARK6/PINK1 act as indicators of functionally abnormal mitochondria to induce mitophagy6,7,8,9. Hereditary spastic paraparesis type 15 are linked to mutations of SPG15 gene that promotes autophagosome maturation10. Mutations of an adaptor protein for selective autophagy, p62 are associated with amyotrophic lateral sclerosis (ALS) 11.
In vivo analysis of autophagy after nutritional starvation was performed in a pioneering work by Mizushima, Ohsumi and their colleagues with LC3-GFP transgenic mice12, but induction of macroautophagy was not detected in the brain tissues after fixation. Meanwhile, it was reported thereafter that inhibition of mTOR induced autophagy and ameliorated polyglutamine disease pathology13. Moreover, autophagic response of neurons might be conditional14. In contrast to inducible autophagy, constitutive autophagy is established to protect neurons in vivo from neurodegeneration through clearance of ubiquitinated proteins15,16. The discrepancy awaits further analysis with a new technique to observe living neurons to settle down the issue of in vivo.
A new in vivo imaging of macroautophagy in the brain of living animals based on two-photon microscopy
To visualize autophagic vacuoles in living neurons in the brain, we generated lentiviral vector expressing EGFP-LC3. We injected 5 μl of lentiviral vector (titer 5.0 × 106 vector genomes/ml) into retrosplenial dysgranular cortex (RSD) or cerebellar cortex. Twenty days after injection the mice were investigated by two-photon microscopy (FV1000MPE2, Olympus, Japan) with the thin skull method as described in Methods. In both areas, clustered EGFP-positive vesicles and dispersed fine EGFP-positive dots were observed (Fig. 1a). Especially in the cerebellar cortex, the vesicles with high intensities were clustered in a narrow area of 10–20 μm-diameter, suggesting that they correspond to the cell body of Purkinje cells aligned in a single layer (Fig. 1a, Supplementary Figure 1). In reconstructed images of the cerebellum, EGFP-LC3 vesicles were also aligned in the main dendrite of Purkinje cells (Supplementary Figure 1).
To verify that such clusters of EGFP-LC3 vesicles actually corresponded to the cell body of Purkinje cells, we used double transgenic mice (loxP-flanked STOP cassette Td Tomato x Ptf1a-promoter-Cre) that express red fluorescent protein (The Jackson Laboratory, B6.Cg-Gt (ROSA) 26Sortm14 (CAG-tdTomato) Hze/J, 007914) in GABAergic Purkinje cells in the cerebellum17. Infected lentiviral vector actually expressed EGFP-LC3 protein in Purkinje cells, a part of granule cells, but not in TdTomato-positive GABAergic neurons in molecular cell layer (Supplementary Figure 2). To verify the expression of EGFP-LC3 in cortical neurons, we performed immunohistochemistry with anti-NeuN or GFAP antibody and examined co-localization of non-stained native EGFP-LC3 with a cell-specific marker (Fig. 1b). The result revealed EGFP-LC3 vesicles/dots were distributed in NeuN-positive neurons (Fig. 1b). GFAP-positive astrocytes might also possess EGFP-LC3-positive dots, while the signals were weak in comparison to neuronal EGFP-LC3 vesicles (Fig. 1b).
On the other hand, infection of AAV-EGFP generated diffuse intracellular signals of EGFP (Fig. 1c) supporting that the EGFP-LC3 vesicles were not the artificial self-aggregates of EGFP as reported18. Moreover, we found by confocal microscopy that a part of the EGFP-LC3 vesicles was co-stained with a lysosome marker, LAMP2A in brain tissues, indicating that these EGFP-LC3 vesicles were actually fused with lysosomes (Fig. 1d).
Starvation-dependent induction and circadian rhythm of macroautophagy in neurons
Since these results supported usefulness of two-photon microscopic observation of EGFP-LC3 for evaluation of macroautophagy, we applied the technique to answer the questions whether fasting treatment induces macroautophagy in neurons and how the autophagic response is different between 5xFAD mice, one of the severest mouse AD models that firstly shows Aβ deposition at 3 months of age and the background mice, C57BL/6 x SJL (Fig. 2). We firstly examined the effect of fasting treatment on body weight and blood glucose and confirmed that 5xFAD and background mice showed similar responses to fasting in these parameters (Supplementary Figure 3). In this experiment, 20 days after injection of EGFP-LC3 lentivirus, the mice were fasted and supplied only with water for 48 hours (Fig. 2a). Two-photon microscopic observation was performed at 0, 6, 12, 24 and 48 hours time points during fasting (Fig. 2a). Using the vessels as markers, the position of observation was strictly controlled (Supplementary Figure 4).
Before analyzing the effect of fasting, we needed to test whether autophagosome formation possesses a circadian rhythm (Supplementary Figure 5) because it had not been investigated previously. Unexpectedly, our live imaging of the brain revealed that the number, volume and signal intensity per cell of the EGFP-LC3 vesicles changed in a circadian rhythm pattern (Supplementary Figure 5). All the parameters increased during daytime (light) and decreased in nighttime (dark). Interestingly, however, the parameters started to decrease around 4 PM when mice do not eat much (Supplementary Figure 5), suggesting that the circadian rhythm genes might affect autophagosome formation independently of feeding behavior. However, the question whether circadian rhythm genes affect autophagosome formation through or not through feeding behavior is an open question requiring further investigation.
Therefore we started the observation strictly at the same time points to evaluate the response of autophagosome to the fasting treatment (Fig. 2a, b). Two photon microscopy images (100 μm x 100 μm x 100 μm volume) were obtained from four groups of mice. The number, signal intensity and volume of EGFP-LC3 vesicles were quantified and their mean and SD were calculated (Fig. 2c). More than five mice were analyzed in each group of 5xFAD fasting, 5xFAD non-fasting, Wt fasting and Wt non-fasting mice, respectively (Fig. 2c). Detailed methods for acquiring these parameters were described in Methods. The time-lapse live imaging revealed that basal levels of EGFP-LC3 vesicles were higher in 5xFAD mice at the number, intensity and total volume of vesicles per cell but not the average size of puncta (Fig. 2c). In addition, when these values were corrected by the basal values in each mouse group, the increasing ratio was also higher in 5xFAD mice (Fig. 2c).
We also employed an ordinary immunohistochemsitry method with postmortem brains of 5xFAD mice after fasting treatment to detect endogenous LC3 vesicles. In this analysis, sensitivity of the endogenous LC3 detection was far lower than that of AAV-EGFP-LC3 by our new method and it was hard to evaluate the number of macroautophagosome strictly. However, the result of LC3 signals still suggested induction of macroautophagosome after fasting, which was generally observed across multiple brain regions (Fig. 2d).
Effect of starvation-induced macroautophagy on extracellular and intracellular Aβ accumulation
Finally, we tested whether induced autophagosome was really effective for degradation of Aβ, because it was reported previously that AD-asscociated mutation of presenilin-1 impairs autolysosome acidification and cathepsin activation to inhibit proceeding of autophagy processes19. Such a dysfunction in macroautophagy might occur in 5xFAD mice and might prevent degradation of the substrates within autophagosomes after fusion with lysosomes. For this purpose, we injected Aβ labelled with TAMRA into the retrosplenial dysgranular cortex (RSD), the brain area that corresponds to human precuneus and observed dynamics of Aβ by time-lapse imaging for 2 days from 24 hours after injection (Fig. 3a). The experiment might mimic over-secretion of Aβ from hyperactivated neurons in brain regions composing the default mode neural network.
First we found that injected Aβ was taken up into neurons within 24 hours after injection (Fig. 3b). Importantly, the amount of Aβ (red vesicle) in neurons was obviously higher in 5xFAD mice (Fig. 3b,c). The increase of intracellular Aβ could be explained by increased uptake of extracellular Aβ by endocytosis. Analysis of the yellow vesicle volume per cell that reflects secondary lysosome, the fused vesicle of endosome and autophagosome20, revealed that the amount of secondary lysosome increased in neurons during the time of fasting whereas in which Aβ remained undegraded (Fig. 3c). The increase of such “residual body”20 containing Aβ was observed both in wild type and 5xFAD mice, while the extent of increase was more remarkable in 5xFAD mice (Fig. 3c).
For the comparison of the effect of fasting treatment on Aβ accumulation across different regions of the brain, we employed a method using the post-fixed brain samples of 5xFAD mice at 3 months taking the advantage of the pathological stage. In this case we observed the effect of fasting on accumulation of endogenous Aβ of 5xFAD mice instead of exogenous Aβ-TAMRA. The DAB and fluorescence immunostainings with anti-Aβ antibody revealed no significant difference of extracellular Aβ accumulation between non-fasting and fasting groups of 5xFAD mice in most brain regions (Fig. 4a,b). However, we detected a tendency that extracellular Aβ accumulation was decreased in visual cortex in fasting groups of 5xFAD mice (Fig. 4c).
Intracellular Aβ accumulation was also confirmed across different brain regions as we reported previously21. Also unexpectedly, we observed that intracellular Aβ accumulation accompanies blurring or fading-out of DAPI or NeuN stains of the nuclei of neurons (Fig. 5a,b) suggesting that a certain type of cell death was induced by intracellular Aβ accumulation and that extracellular plaque formation might be triggered by the seed of Aβ foci of ghost neurons (the residual intracellular Aβ accumulation of dead neurons). Indeed, we often observed various images supporting the progression from intracellular to extracellular Aβ aggregates (Fig. 5c) and queer balloonings of the cytoplasm and apoptoic changes of the nuclei in intracellular Aβ positive cells (Fig. 5d).
Hence, we categorized such types of cells with intracellular Aβ accumulation into three groups, vital cells with clear nuclear margin with DAPI stains (Group A); dying cells with blurred or faint DAPI nuclear stains (Group B); and dead cells with the defect of DAPI nuclear shape (Group C) (Fig. 5a). Quantitative analysis revealed that the total cell number of neurons with intracellular Aβ accumulation was increased by fasting treatment generally in all brain regions (Fig. 5e). Quantification of each group revealed that fasting treatment induced a shift from A to C generally in all regions of the brain (Fig. 5e).
These results were consistent with the hypothesis that intracellular Aβ accumulation triggers the cell death and that plaque formation is seeded by the ghost of intracellular Aβ accumulation, whereas this hypothesis should be examined more extensively by employing additional methods in the future.
Our study firstly proved that macroautophagy was actually induced by starvation in mouse neurons in vivo. This finding was consistent with a previous result with post-mortem analysis of GFP-LC3 transgenic mice after fasting22. The GFP-LC3 transgenic mice were starved for 24 or 48 hours, perfused and fixed. After killing the mice, the authors of the previous study sampled the brain tissues and observed the GFP-LC3 fluorescence. Compared with their method, our technique has an advantage to directly observe the change of macroautophagy in the brain of living animals but not of dead animals. On the other hand, the protocol used in this study was limited to observation at one or several restricted regions of the brain. However, since our AAV vector is also applicable for systemic delivery by intravenous injection, it might be possible to overcome the limitation of our method in the future.
The finding in this study that fasting induces macroautophagy basically supports previous results showing that activation of macroautophagy by chemicals or vectors ameliorated the pathology of neurodegenerative diseases in various animal models. In addition we unexpectedly discovered circadian rhythm of neuronal macroautophagy in vivo. The circadian rhythm might be interesting if we consider it with the previous finding that Aβ secretion is reduced during the sleep23. These results would collectively contribute to understanding of the significance of autophagy in the brain.
Our results also suggested even though autophagy was activated in 5xFAD mice under starvation, the intracellular degradation of Aβ was still insufficient to compensate the increased uptake of Aβ from extracellular space (Fig. 3). The idea was further supported by immunohistochemistry of 5xFAD mice showing that fasting treatment enhanced intracellular accumulation of endogenous Aβ (Fig. 5). Moreover, fasting did not largely affect extracellular accumulation of endogenous Aβ in 5xFAD mice (Fig. 4a,b). If this is the case in human AD pathology, such enhanced uptake of Aβ by calorie restriction could be harmful for neuronal function if the intracellular Aβ triggers abnormal signaling cascade. Supporting this hypothesis, we observed increased number of neurons with intracellular Aβ that lost viability after fasting treatment (Fig. 5).
However, it is also of note that we had injected a high amount/concentration of Aβ to visualize the metabolism in vivo and that expression level of Aβ in 5xFAD mice was extremely higher than in human AD patients. Therefore, starvation–activated macroautophagy might still ameliorate the Aβ pathology if Aβ concentration in extracellular space is not so high. In that case, induction of Aβ uptake by starvation might reduce the extracellular Aβ and the up-taken intracellular Aβ at a relatively low level could be degraded by activated macroautophagy. Then, the resultant decrease of extracellular Aβ might also rescue the synaptic transmission. The critical point of concentration of the two hypotheses needs further investigation.
Collectively, the balance among secretion, endocytosis and degradation of Aβ should play a pivotal role in initiation and progression of human AD pathology. Therefore nutritional condition and circadian rhythm, which may be influenced by our life style, are considered to be intriguing factors for AD.
In conclusion, this study revealed that nutritional starvation induces macroautophagy in neurons but the induction is insufficient to degrade a high amount of Aβ in AD-associated pathological condition.
AD model mice
5xFAD mice and control mice (male, 3 month old) were used for the experiments in this study. 5xFAD transgenic mice express mutant human APP770 with triple mutations: Swedish (KM670/671NL), Florida (I716V) and London (V717I) and mutant human PS1 with double mutations: M146L and L285V under the control of mouse Thy1 promoter24. The background was C57BL/6 x SJL. Mice were kept under standard laboratory conditions: 12 h light and 12 h dark; light on at 8:00 am, off at 8:00 pm at 22 ± 1 oC and water and food were supplied ad libitum.
Generation of lentiviral vectors
For construction of pEGFP-LC3/pLVSIN-CAG, Nhel-BamHI fragment digested from pEGFP-LC325 was subcloned into pLVSIN-CMV and CMV promoter was replaced by CAG promoter with Clal-XhoI. The pEGFP-LC3/pLVSIN-CAG was cloned into transfer vectors. Using Lenti-XTM Expression Systems (Clontech Laboratories, Inc), 6 μg of pEGFP-LC3/pLVSIN-CAG in Lenti-X HTX packaging Mix (components of Lenti-X HTX packaging Mix) was transfected into 293T cells (plated at 4 × 106 cells 16 hours before) with Lipofectamine® 2000 (Life Technologies; Cat.11668–019) following the manufacturer’s instruction. 48 hours after transfection, medium of the transfected cells was collected and centrifugation with 8,000 g for 5 min at 4 oC. The supernatant was ultra-centrifuged with 48,000 g for 2 hours at 4 oC). The pellet was suspended in PBS and centrifuged again with 8,000g for overnight at 4 oC. The pellet was suspended with 160 μl of PBS by pipetting 100 times, kept at 4 oC for 1hour, pipetted 100 times, kept at 4 oC for 1hour, centrifuged with 8,000 g for 5 min at 4 oC and the final supernatant was kept at −80 oC before experiment.
Titration of viral vectors
Viral genomes were quantified using a qPCR cycler (ABI 7500HT, Applied Biosystems) and Lenti-X™ qRT-PCR Titration Kit (Clontech laboratories) and diluted to an appropriate concentartion. For the PCR sample preparation, lentivirus was incubated with DNase I (Lenti-X™ qRT-PCR Titration Kit components) and Lentiviral genomic RNA was purified and reverse-transcribed. Viral DNA was diluted to an appropriate concentration.
Injection of viral vectors and fluorescent β-amyloid
5xFAD mice and control mice (C57BL/6 x SJL) were injected twenty days before imaging, EGFP- LC3 lentivirus (titer: 5.0 × 106 vector genomes/ml, 5 μl) was injected into the retrosplenial dysgranular cortex (RSD, anteroposterior, −2.0 mm and mediolateral, 0.6 mm from bregma; depth, 1 mm) and the cerebellum cortex (anteroposterior, −7.0 mm and mediolateral, 1.2 mm from bregma; depth, 0.5 mm) of mice under anesthesia with 1.5% isoflurane. Human carboxytetramethylrhodamine (TAMRA)-β-amyloid 1–42, (100 μM, diluted by ACSF, DMSO, 0.1%; 1 μl) was injected into the RSD of mice under anesthesia with 1.5% isoflurane one day before imaging. Virus was delivered via a glass micropipette of 20–50 μm tip diameter made by capillary puller (P-1000 Pipette Puller, Sutter Instrument) under the conditions Heat at 741, pull power at 150, Velocity at 75, Delay at 1000 and Pressure at 400. 5 ul of viral solution was injected at the speed of 1 μl/min into RSD with an injection machine (FemtoJet®, eppendorf).
In vivo imaging with two-photon microscopy
Two-photon imaging of autophagy was performed using a laser-scanning microscope system FV1000MPE2 (Olympus, Japan) equipped with an upright microscope (BX61WI, Olympus, Japan), a water-immersion objective lens (XLPlanN25xW; numerical aperture, 1.05) and a pulsed laser (MaiTaiHP DeepSee, Spectra Physics, USA). EGFP was excited at 890 nm and scanned at 500–550 nm. TAMRA-β-amyloid was excited at 1020 nm and scanned at 547–574 nm. The scanning area used for three-dimensional imaging was 100 × 100 μm (1 μm Z steps, 1,024 × 1,024 pixels and digital zoom x 3). The LC3 labeled autophagosome in neuron of the mouse detected at cortical layer 1 were imaged through a thinned-skull window. To determine the function of autophagy, 1 μl of Aβ (TAMRA-β-amyloid 1-42: Cat;PMC-AK13-COS, 100 μM), was injected to same region as lentivirus EGFP-LC3. Images of EGFP-LC3-positive vesicles were analyzed for the number, size and signal intensity of autophagosome using IMARIS 7.2.2 (Bitplane, Switzerland).
Fasting treatment of mice
Fasting treatment was performed for 0 to 48 hours during the imaging (from 12:00 am on day 1 to 12:00 am on day 3). Mice were allowed to drink water freely. During fasting treatment, body weight and blood glucose were measured with an weighing apparatus (A&D, EK-600i) and Blood Glucose Monitoring System (PILOT #10003001293).
Mice were deeply narcotized with ether and fixed by perfusion of 4% paraformaldehyde. Brain tissues were sliced using a vibratome (HM 650V, Thermo) 30μm each. Immunohistochemistry was performed using antibodies (anti-NeuN, Millipore, MAB377; dilution, 1:200, anti-GFAP, Santa Cruz, SC-6170; 1:100, DAPI solution, Dojindo Laboratories, 340–07971, 1:10,000). To identify the character of EGFP-LC3 vesicles, immunohistochemistry was performed with autophagosome marker antibodies (anti-ATG7, Sigma-Aldlich, A2856, 1:200, anti-ATG12, Cell Signalling, 2011, 1:100).
For Aβ staining, sections were pretreated by boiling in 10 mM citrate buffer, pH 6.0 for 10 min, then incubated with proteinase K (100 g/ml) at 37 °C for 6 minutes or 0.5% Triton X-100 for 30 minutes. The sections were then blocked with 10% FBS in 50 mM Tris–HCl, pH 7.6, 150 mM NaCl (TBS) for 30 min. sectioned at 5 μm sections were stained with anti-Aβ antibody 82E1 (mouse, 1:1000, IBL) followed by incubation with biotin-labeled secondary antibody (1:500, Vector Laboratories), HRP-labeled avidin–biotin complex (Vector Laboratories) and the substrate 3,3' diaminobenzidine. The slides were counter-stained with hematoxylin and observed with a microscopy (Olympus BX53) and attached camera (Olympus DP72). For immunofluorescent staining the sections were stained with anti-Aβ 82E1 (mouse, 1:500, IBL), anti-LC3 (rabbit, 1:500, Sigma-Aldrich), or anti-LAMP2a (rabbit, 1:500, Abcam) overnight at 4 °C, then incubated with Alexa Fluor 488 labelled anti-mouse I gG (1:1000, Jackson ImmunoResearch) or Cy3 labeled anti-rabbit IgG (1:1000, Molecular Probes) for 1 h at room temperature. Images were obtained by confocal microscopy (Olympus FV1200 IX83).
Positioning of image field
We used a stereomicroscope (Qlclick™, 74–0083-A0, Olympus) and a map of blood vessels to trace the same location of imaging area in RSD. First, we took images of specific area (Q-Capture Pro7, Olympus) and determine the location of EGFP-LC3 vesicles. The details are described in Figure legends (Supplementary Figure 3).
All experimental procedures were performed in accordance with the protocols approved by the Committees on Human Ethics and Animal Experiments of Tokyo Medical and Dental University (2010-215C6, 0150270A, 0160328A).
How to cite this article: Chen, X. et al. Fasting activates macroautophagy in neurons of Alzheimer's disease mouse model but is insufficient to degrade amyloid-beta. Sci. Rep. 5, 12115; doi: 10.1038/srep12115 (2015).
Nixon, R. A. et al. Extensive involvement of autophagy in Alzheimer disease: an immuno-electron microscopy study. J Neuropathol Exp Neurol 64, 113–122 (2005).
Yu, W. H. et al. Macroautophagy - a novel β-amyloid peptide-generating pathway activated in Alzheimer’s disease. J Cell Biol 171, 87–98 (2005).
Lipinski, M. M. et al. Genome-wide analysis reveals mechanisms modulating autophagy in normal brain aging and in Alzheimer’s disease. Proc Natl Acad Sci USA 107, 14164–14169 (2010).
Lu, T. et al. REST and stress resistance in ageing and Alzheimer’s disease. Nature 507, 448–454 (2014).
Jiang, P. & Mizushima, N. Autophagy and human diseases. Cell Res 24, 69–79 (2014).
Trinh, J. & Farrer, M. Advances in the genetics of Parkinson disease. Nat Rev Neurol. 9, 445–454 (2013).
Kitada, T. et al. Mutations in the parkin gene cause autosomal recessive juvenile Parkinsonism. Nature 392, 605–608 (1998).
Valente, E. M. et al. Localization of a novel locus for autosomal recessive early-onset Parkinsonism, PARK6, on human chromosome 1p35-p36. Am J Hum Genet 68, 895–900 (2001).
Valente, E. M. et al. Hereditary early-onset Parkinson’s disease caused by mutations in PINK1. Science 304, 1158–1160 (2004).
Hanein, S. et al. Identification of the SPG15 gene, encoding spastizin, as a frequent cause of complicated autosomal-recessive spastic paraplegia, including Kjellin syndrome. Am J Hum Genet 82, 992–1002 (2008).
Fecto, F. et al. SQSTM1 mutations in familial and sporadic amyotrophic lateral sclerosis. Arch Neurol 68, 1440–1446 (2011).
Mizushima, N. et al. In vivo analysis of autophagy in response to nutrient starvation using transgenic mice expressing a fluorescent autophagosome marker. Mol Biol Cell 15, 1101–1111 (2004).
Ravikumar, B. et al. Inhibition of mTOR induces autophagy and reduces toxicity of polyglutamine expansions in fly and mouse models of Huntington disease. Nat Genet 36, 585–595 (2004).
Tsvetkov, A. S. & Finkbeiner, S. Potent and reliable autophagy induction in neurons. Proc Natl Acad Sci USA 107, E182 (2010).
Hara, T. et al. Suppression of basal autophagy in neural cells causes neurodegenerative disease in mice. Nature 441, 885–889 (2006).
Komatsu, M. et al. Loss of autophagy in the central nervous system causes neurodegeneration in mice. Nature 441, 880–884 (2006).
Hoshino, M. et al. Ptf1a, a bHLH transcriptional gene, defines GABAergic neuronal fates in cerebellum. Neuron 47, 201–213 (2005).
Kuma, A. et al., LC3, an autophagosome marker, can be incorporated into protein aggregates independent of autophagy:caution in the interpretation of LC3 localization. Autophagy 3, 323–328 (2007).
J.-H. Lee. et al. Lysosomal proteolysis and autophagy require presenilin 1 and are disrupted by Alzheimer-related PS1 mutations. Cell 141, 1146–1158 (2010).
Desnick, R. J. & Schuchman, E. H. Enzyme replacement and enhancement therapies: lessons from lysosomal disorders. Nat Rev Genet 3, 954–966 (2002).
Shoji, M. et al. JNK activation is associated with intracellular beta-amyloid accumulation. Mol Brain Res 85, 221–233 (2000).
Alirezaei, M. et al. Short-term fasting induces profound neuronal autophagy. Autophagy 6, 702–710 (2010).
Kang, J.-E. et al. Aβ dynamics are regulated by orexin and the sleep-wake cycle. Science 326, 1005–1007 (2009).
Oakley, H. et al. Intraneuronal β-amyloid aggregates, neurodegeneration and neuron loss in transgenic mice with five familial Alzheimer’s disease mutations: potential factors in amyloid plaque formation. J Neurosci 26, 10129–10140 (2006).
Kabeya, Y. et al. LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing. EMBO J 19, 5720–5728 (2000).
This work was supported by “Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS)”, “Strategic Research Program for Brain Sciences (SRPBS)” and a Grant-in-Aid for Scientific Research on Innovative Areas (Foundation of Synapse and Neurocircuit Pathology) from the Ministry of Education, Culture, Sports, Science and Technology of Japan. We also thank Dr. Kazuhiko Tagawa for support of ethics approval, technical support and discussion.
The authors declare no competing financial interests.
Electronic supplementary material
About this article
Cite this article
Chen, X., Kondo, K., Motoki, K. et al. Fasting activates macroautophagy in neurons of Alzheimer’s disease mouse model but is insufficient to degrade amyloid-beta. Sci Rep 5, 12115 (2015). https://doi.org/10.1038/srep12115
This article is cited by
Discovery of Molecular Networks of Neuroprotection Conferred by Brahmi Extract in Aβ42-Induced Toxicity Model of Drosophila melanogaster Using a Quantitative Proteomic Approach
Molecular Neurobiology (2023)
MEK1/2 inhibition rescues neurodegeneration by TFEB-mediated activation of autophagic lysosomal function in a model of Alzheimer’s Disease
Molecular Psychiatry (2022)
Experimental & Molecular Medicine (2020)
Transcriptional block of AMPK-induced autophagy promotes glutamate excitotoxicity in nutrient-deprived SH-SY5Y neuroblastoma cells
Cellular and Molecular Life Sciences (2020)
Preventing mutant huntingtin proteolysis and intermittent fasting promote autophagy in models of Huntington disease
Acta Neuropathologica Communications (2018)