Background
A diverse set of neurodegenerative disorders are caused by abnormal extensions of polyglutamine (poly-Q) stretches in various, functionally unrelated proteins. No effective treatment to prevent or slow down the progression of poly-Q-based neurodegeneration is currently available. Since anomalous glutamine extensions lead to protein misfolding and aggregation, independently of the particular protein affected, all of these diseases display altered cellular proteostasis [
1] as a common feature. The mechanisms engaged in protein quality control, mainly the ubiquitin-proteasome and autophagy systems, are obvious candidate processes on which to focus therapeutic manipulations, aiming at the clearance of mutant proteins. Because poly-Q proteins tend to oligomerize, autophagy is thought to play a prominent role in their management. However, autophagic responses to pathological damage are not yet well understood. Very diverse modes of experimental or pharmacological induction of autophagy have proven to be protective in poly-Q disease models (reviewed in [
2]). Also, induction of autophagy has been proposed to be part of the natural response of cells upon glutamine-extended protein expression [
3]. However, increased levels of autophagy do not always have beneficial effects on poly-Q-based neurodegeneration. Nisoli et al. [
4] showed that induction of autophagy does not rescue the neurodegeneration caused by poly-Q-extended atrophin-1 in a fly model of DRPLA (dentatorubral-pallidoluysian atrophy). If autophagy is induced but not resolved properly, clearance of damaged and unfolded proteins cannot take place effectively. Also, excessive or imbalanced induction of autophagy might be deleterious if autophagosome turnover is unable to keep pace with its formation [
5]. This situation will produce autophagic stress, which can actively contribute to neuronal atrophy, neurite degeneration and cell death [
6,
7].
We have studied the functions of an evolutionarily-related group of proteins belonging to the Lipocalin family, named Lazarillo in invertebrates (Laz, GLaz and NLaz) and Apolipoprotein D (ApoD) in vertebrates. They are secreted proteins with a single globular ß-barrel domain that forms a “cup-like” structure with ability to bind small molecules, mostly hydrophobic in nature [
8]. Hydrophobic ligands as varied as retinoic acid, arachidonic acid, progesterone, sphingomyelin, the pheromone 7(d)tricosene, or the endocannabinoid anandamide, have been shown to bind to some of these Lazarillo-related Lipocalins [
9-
11].
Lazarillo-related Lipocalins show neuroprotective effects in mice and lifespan extending abilities in flies, both under normal conditions and upon exposure to oxidative stress or injury [
12-
21]. These neuroprotective functions are mediated either by counteracting lipid peroxidation or by controlling myelin phagocytosis in injured nerves [
20,
22]. Moreover, ApoD stands among a small set of genes whose over-expression upon nervous system aging is conserved in mammals [
23,
24], and its over-expression is extensively correlated with a wide spectrum of nervous system damage, like stroke or meningoencephalitis, psychiatric disorders like schizophrenia or bipolar disorder, and neurodegenerative diseases like Alzheimer, Parkinson, Huntington, Niemann Pick or multiple sclerosis (reviewed in [
25-
27]).
Physiological aging and age-related pathologies share many causal factors (reviewed in [
28]), and it is not surprising that protective agents are also shared, even though the particular form or the rate of damage accumulation might vary. Two of the major factors contributing to aging and neurodegeneration are (1) reactive oxygen species (ROS)-mediated damage and (2) deterioration of protein and organelle quality control systems.
We have previously tested the protective effect of a Lazarillo-related Lipocalin, GLaz, on the degeneration caused by a primarily mitochondrial dysfunction disease, Friedreich ataxia, a neurodegenerative disorder with a redox imbalance as a major contributor to its pathophysiology. GLaz is able to counteract some of the effects of frataxin deficiency, reducing the level of lipid peroxidation and free fatty acids, and leading to improved survival of frataxin-deficient flies [
29]. Yet, given the variety of neurodegenerative conditions that concur with ApoD over-expression, these Lipocalins are probably important elements of the shared set of protective agents. Thus, it is pertinent to ask whether Lipocalins can protect from neurodegenerative disorders with very different etiology, such as the poly-Q based pathologies.
We therefore set to study the effects of the Drosophila Lipocalins GLaz and NLaz on a poly-Q triggered ataxia model, the Type I Spinocerebellar Ataxia (SCA1) [
30], to focus on their effect on protein and organelle quality control systems, the other major factor whose deterioration is causative to aging. Until now, no Lipocalin has been tested for its ability to modify poly-Q-based neurodegeneration and this work represents a first test for extracellular lipid-binding proteins as modulators of proteostasis under neurodegenerative conditions.
Discussion
We have used the Drosophila retina as a cellular substrate to model the poly-Q-based SCA1 neurodegenerative disease, and found that two lipid-binding proteins, the Drosophila Lipocalins GLaz and NLaz, are able to counteract cellular damage and maintain cell viability and tissue integrity to a reasonable extent. Both Lipocalin genes are part of the endogenous transcriptional response to the neurodegenerative insult triggered by the expanded poly-Q human Ataxin 1. The beneficial effects of GLaz occur when the Lipocalin is either expressed by the degenerating neuron, or in a paracrine manner by the nearby support cells or basal glial cells. Neurodegeneration rescue is abolished by a GLaz interfering RNA construct, further supporting the effect specificity. Moreover, the neuroprotective effect of GLaz is persistent as the animal ages.
The fact that nuclear inclusions of poly-Q-Ataxin 1 are still present in GLaz over-expressing flies, suggests a role for GLaz in processes occurring in the cytoplasm of the affected cells. We have detected co-localization of the GLaz-GFP fusion protein with photoreceptor markers in the neurodegenerative SCA1 model. Likewise, human ApoD is internalized by murine astrocytes, and the internalized exogenous Lipocalin is observed in intracellular membranous and vesicular compartments, but not inside the nucleus [
18]. A similar intracellular traffic of GLaz is expected, and therefore worth to study. Interestingly, we have also recently found that ApoD, in addition to perform extracellular functions in injured peripheral nerves (controlling lipid mediators), promotes myelin degradation by macrophages [
22], an intracellular process that also involves the formation of phagosomes.
Induction of autophagy has been shown in a Huntington disease model in response to the pathogenic mutant version of huntingtin [
3], and induction of mRNA and protein p62 expression have been demonstrated upon expression of poly-Q expanded huntingtin [
48]. On the other hand, experimental induction of autophagy is beneficial in most, but not all, proteinopathies tested so far [
4]. Until now, the role of autophagy in SCA1 pathogenesis was unclear. Here we show that autophagy is also part of the tissue response to the expression of the human pathogenic version of Ataxin 1. We demonstrate that inhibition of the autophagy process
in vivo rescues the fly retina from SCA1-triggered damage and that induction of autophagy in SCA1 flies compromises ubiquitinated proteins clearance. These results agree with the conclusions reached by recent works showing that activation of autophagy in neurons under autophagic stress compromises neuronal survival [
49]. Similarly, autophagy induction, autophagosome accumulation and increased levels of ubiquitinated proteins are accompanied by decreased mTOR signaling [
50]. Therefore, our data support that cells might be undergoing autophagic stress in this model [
6,
7], and that this cellular response is probably lowering the threshold for the onset of apoptotic cell death [
7]. This information is relevant in the context of the use of this Drosophila retinal degeneration model of SCA1 to search for genetic modifiers [
30,
33].
Our data support the view that GLaz beneficial effect on SCA1 neurodegeneration concurs with the modulation of neurodegeneration-triggered selective autophagy. GLaz shows epistatic relationships with autophagy genes involved in the induction of phagofore formation; Atg8a/ LC3 processing (conditioning the expansion into autophagosomes); targeting aggregated proteins cargo into the phagofore; and replenishing Atg8 and p62 levels upon autophagic activity. Moreover, in the SCA1 model, over-expressing GLaz lowers endogenous Atg8a and p62 transcript levels, as well as p62 protein levels, suggesting a decrease in autophagic activity that might counteract excessive autophagy induction. The loss of GLaz function increases Atg8a mRNA levels and leads to p62 protein accumulation in basal conditions, also suggesting a role in the modulation of basal autophagic activity. Although the observed decrease in p62 protein upon GLaz over-expression in SCA1 model flies, or the p62 protein accumulation in GLaz null mutants in basal conditions, could also be interpreted as signs of autophagy flux alterations [
5], the small but parallel changes in p62 transcription under neurodegenerative conditions cast doubts on this scenario as the sole explanation.
We have previously shown that GLaz and NLaz have beneficial effects under oxidative stress elicited either experimentally, through normal aging [
12-
16], or evoked by Friedreich Ataxia, a mitochondrial dysfunction-based neurodegenerative disease [
29]. The control of lipid peroxidation levels lies at the base of these outcomes. Here we find that the Lipocalin GLaz is also able to rescue photoreceptors from pathogenic SCA1-induced apoptotic cell death by an apparently different mechanism. Interestingly, several control points of autophagy are either directly regulated by the cell redox state or are part of feedback regulatory loops in which oxidative stress or lipid peroxide levels are involved: (i) The activity of the cysteine protease Atg4a is redox sensitive [
51,
52]. (ii) The expression of p62 is induced by oxidative stress [
53] and, in turn, p62 works as a signaling molecule promoting antioxidant response through its effect on Nrf2 transcription factor activation [
54]. (iii) GstS1 activity modulates autophagy though its regulation of the JNK pathway [
34]. Interestingly, GLaz null mutants display increased oxidative stress sensitivity, higher levels of lipid peroxidation and apoptotic cell death [
12]; phenotypes that are often associated with autophagy malfunction. Thus, a parsimonious hypothesis would be that the Lipocalin-mediated control of lipid peroxide levels influences autophagy at several steps, slowing down the process and ultimately making it more efficient. These functions will promote clearance of aggregated proteins and would prevent crossing the threshold to apoptotic cell death programs. We thus propose that GLaz participates in the optimization of autophagy, contributing to make this process efficient and preventing autophagic stress, which would, in due time, develop alongside the severe degeneration produced by a relentless hATXN1
82Q expression under the UAS-GAL4 system.
It is known that autophagy defects lead to neurodegeneration even in cases where poly-Q protein expansions are not involved; e.g., in the Pink1 and Parkin loss-of-function leading to Parkinson disease, where mitophagy defects are proposed to induce neuronal death [
55,
56]. Therefore, the Lazarillo-related Lipocalins, with their potential to modulate autophagy, might be useful in many other neurodegenerative diseases. Also, it is known that autophagy efficacy decreases with aging [
57]. How is autophagy activity modulation contributing to the well-known longevity modulation phenotypes of GLaz and other Lazarillo-related Lipocalins [
12-
16] becomes an interesting future research avenue. Another member of the Lipocalin family, Lcn2, has been involved in autophagy modulation in murine embryonic cells, where loss of Lcn2 function results in a decrease in LC3 protein expression [
58].
In summary, the Lazarillo-related Lipocalins, known to protect membranes from lipid peroxidation and its collateral damages, are also contributing to prevent autophagic stress under poly-Q-based neurodegenerative conditions. Understanding this pleiotropic nature of ApoD and Lazarillo-related Lipocalins will help us to better explain why ApoD is a key element in the nervous system response to such a wide array of neurodegenerative and injury-triggered diseases.
Methods
Fly strains and husbandry
Flies were grown under standard laboratory conditions as described [
12]. Fly females were used in all experiments. Unless stated otherwise, experiments were performed at 25°C.
The null mutant GLaz
Δ2/Δ2 and its isogenic wild type control (WT
G10) in Canton S background were previously described [
12]. We used a construct (glaz:GLaz-GFP) containing 1.9 kb of the native 5’ genomic region upstream and the full-length GLaz gene, in frame with the coding sequence of GFP, thus producing a GLaz-GFP fusion protein expressed under the control of the native GLaz regulatory sequences [
12]. Two independent transformant lines with insertions of this construct were used: 1) glaz:GLaz-GFP[FX] and 2) glaz:GLaz-GFP[F2], located in the first and second chromosome respectively.
NLaz expression was characterized by various reporter constructs, with 3 kb of the native 5’ genomic region upstream of NLaz followed by GFP (nlaz:GFP[R2]). Alternatively, we used the same NLaz 5’ genomic region to drive the expression of GAL4 to express a membrane bound GFP (UAS:CD8-GFP line).
We used the line gmr:GAL4 to drive transgenes expression to the eye photoreceptors. The UAS:GLaz and UAS:NLaz lines have been reported [
13,
16]. The UAS:hATXN1
82Q; gmr:GAL4 line was kindly provided by Dr. J. Botas. UAS:Atg1
K38Q [
46], UAS:Atg4a
C98A [
47], UAS:Atg8a RNAi
JF02895, and UAS:p62 RNAi
KK105366 [
47,
59] were kindly provided by Dr. Gábor Juhász. All other fly lines were obtained from the Bloomington stock Center.
To combine the neurodegeneration model with GLaz over-expression and with different forms of autophagy inhibition (or other control transgenes) we constructed a fly line UAS:hATXN182Q; gmr:GAL4 UAS:GLaz2/CyO (with two transgenes in the second chromosome). After the scheme of crosses, presence of GLaz cDNA transgene was confirmed by PCR amplification from genomic DNA.
Immunohistochemistry
Fly heads were fixed with 4% paraformaldehyde and embedded in paraffin following standard procedures. Tissue sections (4 μm) were performed with a rotary microtome (Microm), serially mounted on Polysine™ slides (Menzel-Gläser), and dried. The sections were dewaxed in xylene and rehydrated through an ethanol series into phosphate buffered saline (PBS). Larval optic imaginal discs were dissected and fixed in 4% paraformaldehyde. The tissue was then blocked and permeabilized with TritonX-100 (0.1% in PBS) and 2% normal goat serum.
The following primary antibodies were used: Rabbit serum anti-p62 (a kind gift of Dr. Juhasz, Loránd University, Hungary; [
47]); Rabbit serum anti-Atxn1 (a kind gift of Dr. J. Botas, Baylor College of Medicine, USA); Mouse monoclonal P4D1 anti-Ubiquitin (Cell Signaling); Rabbit serum anti-GFP (Santa Cruz Biotechnology, Inc.); Mouse monoclonal 4C5 anti-Rhodopsin (DSHB); Mouse monoclonal 22C10 anti-MAP1B (DSHB).
For HRP-IHC, the secondary antibodies HRP-conjugated Goat anti-Rabbit IgG (Abcam) and HRP-conjugated Goat anti-Mouse IgG (Dako) were used. HRP development was achieved with DAB (0.03%) and H2O2 (0.002% in 50 mM Tris, pH 8.0). Hematoxilin/Eosin and HRP-IHC sections were mounted after dehydration and clearing in Eukitt™.
For fluorescence IHC, the following secondary antibodies were used: FITC-conjugated Goat anti-Mouse and Cy3.5-conjugated Goat anti-Rabbit (Abcam). After washes in PBS, the sections were mounted with Vectashield-DAPI (Vector Labs).
The TUNEL FITC labeling kit (Roche) was used to assay apoptotic cell death in fly head tissue sections according to the manufacturer’s protocol.
Labeled sections were visualized and photographed with an Eclipse 90i (Nikon) fluorescence microscope equipped with DS-Ri1 (Nikon) digital camera. Images were acquired and processed with the NIS-Elements BR 3.0 software (Nikon).
Eye external morphology
Flies were anesthetized with CO
2 and immobilized with adhesive tape. Fly eyes were photographed with a Nikon DS-L1 digital camera, in a Nikon SMZ1000 stereomicroscope equipped with a Plan Apo 1× WD70 objective. Images were processed with Adobe Photoshop 6.0 using a surface filter. Local intensity maxima were obtained with ImageJ software, and nearest neighbor distances were calculated for each ommatidia. A regularity index was estimated as the variance of distances, and a percent recovery was calculated considering 0% the average degenerated eye and 100% the control wild type eye. Samples of 20–35 flies (3d old) per condition and genotype were used to calculate the average ± S.E.M. regularity index. We have developed an optimized version of this methodology, with a freely available ImageJ plugin for automated analysis of fly eye pictures [
31].
For scanning electron microscopy images, the flies were immobilized and pictures were taken with an ESEM-FEI-Quanta 200FEG scanning electron microscope.
Quantitative RT-PCR
Drosophila heads (30–50 per condition and genotype) used for mRNA expression studies were stored at −80°C, and RNA was extracted using QIAzol™ Lysis Reagent (Qiagen). RNA concentration was measured with a Nanodrop spectrophotometer and its integrity assayed by gel electrophoresis. Following DNAse treatment, 500 ng of total RNA was reverse-transcribed with PrimeScript™ (Takara Bio Inc., Otsu, Japan) according to the manufacturer’s instructions using Oligo-dT primers and random hexamers. The resulting cDNA was used as template for RT-qPCR using SybrGreen (SYBR® Premix Ex Taq™ kit, Takara) in quintuplicate PCR reactions in a Rotor-Gene RG-3000 thermal cycler (Corbett Research). Cycling conditions were 30 sec 95°, (5 sec 95°, 15 sec 55°, 15 sec 72°) × 40. Melting curves were established for all conditions to check for the absence of unspecific amplifications. The primers used for RT-qPCR are shown in Table
1. The gene Rpl18 was used as the reference gene.
Table 1
RT-qPCR primer sequences
NLaz | Forward | 5′-CGAGTACGCAGCCTATCCAT-3′ |
Reverse | 5′-CCAGGTAGTTGGCCTTCGT-3′ |
GLaz | Forward | 5′-GCGAACAATCGAAGTTTTCC-3′ |
Reverse | 5′-ACAAGATGGCGAAGTTCTCG-3′ |
hATXN1 | Forward | 5′-GTGGCCGTGATACAGTTCG-3′ |
Reverse | 5′-AGCCGTTCTTCAGGTTCTTG-3′ |
GstS1 | Forward | 5′-AAGGACAACGATGGTCACCTGGC-3′ |
Reverse | 5′-CGGTGAACTTAGACCTCGGTGACG-3′ |
Vib | Forward | 5′-GGCCAATCGCACTCCCCAGTTC-3′ |
Reverse | 5′-TAACACCTCGATGCCCTCGCC-3′ |
Atg8a | Forward | 5′-CATCGGTGATTTGGACAAGA-3′ |
Reverse | 5′-AGTCCTCCTCGTGATGTTCC-3′ |
p62 | Forward | 5′-CGTAAGGACCTTCTGGATCG-3′ |
Reverse | 5′-CGTCGTGGATGGTGAAATTG-3′ |
L18 | Forward | 5′-AGAACCGAGCCCAAATCC-3′ |
Reverse | 5′-CGACCACGATGGTAGACTCC-3′ |
Transcription levels of mRNA were calculated with the ΔΔC
T method [
60]. Statistically significant differences of gene transcriptional changes were evaluated with a Mann–Whitney U-test [
61], using ΔC
T of each replica (calculated by subtracting the average CT of the reference gene). The statistical level of significance was set at
P < 0.05.
Immunoblot analysis
Proteins from fly heads (30–50 per condition and genotype) were solubilized by homogenization in lysis buffer, and total protein concentration was evaluated by BCA analysis (Pierce).
Immunoblot analyses were performed with 10–20 μg of total protein/lane transferred to PVDF membranes using standard procedures and exposed to the following antibodies: Rabbit serum anti-p62 (Dr. Juhasz, Loránd University, Hungary; [
47]); Mouse monoclonal P4D1 anti-Ubiquitin (Cell Signaling). HRP-conjugated Goat anti-Rabbit or mouse IgG (DAKO) were used as secondary antibodies. HRP-conjugated anti-β actin antibody (Sigma, St Louis, MO, USA) was used to normalize protein loads. Membranes were developed with ECL (Millipore, Billerica, MA, USA), and the signal visualized with a digital camera (VersaDoc, BioRad). The integrated optical density of the immunoreactive protein bands was measured in images taken within the linear range of the camera to avoid signal saturation.
Statistical analysis
Statistical tests were performed with SigmaPlot (v 11.0) software. A P-value < 0.05 was defined as a threshold for significant changes. Means and dispersion values were calculated from experimental triplicates. The particular tests used are stated in figure legends.
Acknowledgements
This work was supported by grants to MDG and DS: Junta de Castilla y León (JCyL) grant VA180A11-2, and Ministerio de Ciencia e Innovación (MICINN) grants BFU2008-01170 and BFU2011-23978. MdC-E was supported by a University of Valladolid, predoctoral fellowship.
We thank E. Martin-Tejedor for technical assistance, and all the Medicine and Biology students that participated in the project as part of their undergraduate education (M. Ruiz-García, R. Rojo-Engelmo, R. Sekine, S. González, A. Miller, C. Aguilera-Pino, Y. Quevedo-Aballe, S. García-García, D. Pérez-Torres, J. García-Martínez, A. de San Luis, and S. Sanz-Muñoz). We also thank the Lazarillo Lab (R. Bajo-Grañeras, M. Ruiz, N. García-Mateo, A. Pérez-Castellanos, R. Pascua-Maestro, and S. Diez-Hermano) for their helpful discussions and positive criticisms. We are grateful to Dr. J. Botas for sharing the SCA1-model Drosophila lines and the antibody against hAtaxin-1, and Dr. Gábor Juhász for sharing Drosophila lines to modify autophagy activity and the antibody against Drosophila p62. We thank M. Avella at the Electron Microscopy facility of the University of Valladolid for technical assistance with scanning EM pictures.
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Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MdC-E, DS and MDG performed most of the experimental work. JRA performed NLaz-related experiments. DS and MDG designed the study and wrote the manuscript, with criticisms and revisions from all authors. All authors read and approved the final manuscript.