Introduction
Frontotemporal Lobar Degeneration (FTLD) accounts for 10 to 20 % of all demented cases. With an onset usually occurring between 45 and 64 years of age, FTLD represents the second common cause of dementia in the presenile age group (<65 years of age) [
1]. FTLD is a clinical syndrome characterized by progressive deterioration in behavior, personality and/or language. Depending on the first and prevailing symptoms, there are three different clinical subtypes including the behavioral variant FTLD (bvFTLD) and two subtypes of primary progressive aphasia: progressive nonfluent aphasia (PNFA) and semantic dementia [
2,
3]. In addition, movement disorder can also be observed in 10 to 15 % of FTLD cases (corticobasal syndrome, parkinsonism and/or amytrophic lateral sclerosis (ALS)) [
4]. Given this phenotype variability, FTLD clinical diagnosis remains difficult and uneasy to establish with certainty [
5]. However, genetics has allowed for a better stratification of FTLD spectrum. In fact, gene mutations also play an important role in FTLD with 30 to 50 % of patients reporting a positive family history of FTD and 10 to 15 % of patients corresponding to dominantly inherited form [
6]. Firstly described are the
MAPT mutations [
7]. Mutations in the progranulin gene
GRN were then found to be the most frequent mutations associated with FTLD [
8,
9]. More recently, two studies demonstrated that expanded hexanucleotide GGGGCC repeats in a noncoding region of the chromosome 9 open reading frame 72 (
C9ORF72) gene was responsible for a large proportion of both familial FTLD and ALS [
10,
11]. Less frequently mutations in the valosin containing protein (
VCP) gene or charged multivesicular body protein 2B (
CHMP2B) gene are also found associated with FTLD [
12,
13].
The definite diagnosis relies on neuropathological examination of the brain, the characteristics of these brain lesions and their molecular basis [
14]. Indeed, as many neurodegenerative diseases, FTLD are characterized by the presence of protein aggregates in the affected brain regions. However, in contrast to the well-characterized nature of protein inclusions (Aβ plaques and neurofibrillary tangles) in Alzheimer’s disease (AD), proteinaceous aggregates in FTLD can be formed of different proteins [
15]. Thus, approximatively 40 % of FTLD cases display aggregates made of abnormally and hyperphosphorylated Tau proteins and constitute the FTLD-Tau subclass. However, most of FTLD brains are negative for Tau inclusions and exhibit neuronal cytoplasmic and/or nuclear inclusions immunoreactive for transactive response DNA binding protein 43 (TDP-43) and constitute the FTLD-TDP subclass [
16,
17]. This latter is subdivided into sporadic FTLD-TDP, FTLD-TDP-
GRN (patients with mutations on
GRN) and FTLD-TDP-
C9ORF72 (patients with mutations on
C9ORF72) [
8‐
11]. To a lesser extent, another protein called FUS (Fused in Sarcoma protein) is found in aggregates that are Tau and TDP-43 negative [
18,
19]. This subclass is thus named FTLD-FUS. Finally, inclusions negative for Tau, TDP-43 or FUS are observed in rare cases of FTLD and associated with ubiquitin-proteasome system related proteins (FTLD-UPS) [
20].
Prior to the discovery of the main molecular actors of FTLD, studies described a partial or total loss of soluble or physiological Tau protein expression in both grey and white matter [
21,
22]. This loss of Tau was originally found in a subset of dementia called DLDH for Dementia Lacking Distinctive Histopathology (renamed later FTLD-ni for FTLD with no inclusion) [
23]. In 2006, most of these cases were reclassified as FTLD-U (presenting with ubiquitin positive inclusions) [
24]. However, additional investigation with specific regards to this loss of Tau expression has not been reported since Zhukareva et al. in 2003. With the progress in genetics and neuropathology of FTLD, the question of whether this reduction of Tau expression is seldom remains ill-defined. In this study, we used western blot analysis to investigate human brain Tau protein expression in Control, AD, FTLD-Tau, FTLD-TDP-
GRN, FTLD-TDP-
C9ORF72, sporadic FTLD-TDP and sporadic FTLD-FUS brains. Remarkably, we demonstrated a huge reduction of all six human brain Tau isoforms only in a subset of FTLD-TDP brains with mutation on the
GRN gene. Thus, our data clearly suggest that these specific cases, referred to as FTLD-TDP-
GRNlτ (lτ for low levels of Tau protein), could be part of the current classification as a distinct entity with more severe synaptic dysfunction and astrogliosis.
Materials and methods
Frontal cortical brain tissues from Controls (n = 8), AD (n = 8), FTLD-Tau (n = 6), FTLD-TDP-GRN (n = 10), FTLD-TDP-C9ORF72 (n = 10), sporadic FTLD-TDP (n = 8) and sporadic FTLD-FUS (n = 5) were provided from both Lille Neurobank and GIE NeuroCeb in Paris. The brain banks fulfill criteria from the French Law on biological resources including informed consent, ethics review committee and data protection (article L1243-4 du Code de la Santé publique, August 2007).
Biochemical analysis
Frontal grey matter necropsic tissues (around 100 mg) were homogenized in UTS buffer (Urea 8 M, Thiourea 2 M, SDS 2 %) using a tissue grinder Potter-Elvehjem with a PTFE Pestle. The homogenate was further sonicated on ice and spun at 7500 × g during 10 min to remove tissue debris. The supernatant was kept at −80 °C until use. Protein amount was determined by Bradford protein assay, subsequently diluted in NuPAGE® lithium dodecyl sulfate (LDS) 4× sample buffer (glycerol 40 %, LDS 4 %, Ficoll 400 4 %, Triethanolamine chloride 800 mM, phenol red 0.025 % and Coomassie G250 0.025 %, EDTA disodium 2 mM, pH 7.6) supplemented with NuPAGE® sample reducing agents (Invitrogen) and loaded onto 4–12 % NuPAGE® Bis-Tris Novex Gels. Proteins were transferred on nitrocellulose membrane of 0.45 μM porosity (GE Lifesciences) using liquid transfer XCell II™ Blot Module, according to the manufacturer’s instructions (Invitrogen). After saturation for 30 min at room temperature with TNT (Tris 15 mM, pH 8, NaCl 140 mM, Tween 0.05 %) added with 5 % skimmed milk powder or 5 % BSA, membranes were rinsed three times 10 min with TNT and thereafter incubated with primary and secondary horseradish peroxidase-coupled antibodies. All primary antibodies and dilutions are listed in Table
1. The peroxidase activity was revealed using a chemiluminescence kit (ECL, GE Lifesciences) and an ImageQuant™ LAS4000 biomolecular imaging system (GE Lifesciences), according to the manufacturer’s instructions. Quantifications were performed using ImageJ 1.46 software (NIH Software).
Table 1
Antibodies used in this study
Tau | | | | | | |
Anti-total Tau (N-ter) | N-ter | First 19 aa in amino-terminal region | Rabbit | Home-made | 1/10 000 | |
Anti-total- Tau (Tau 5) | Tau 5 | Middle region of Tau (aa 218–225) | Mouse | Invitrogen | 1/2 000 | |
Anti-total-Tau (C-ter) | C-ter | Last 15 aa in carboxy-terminal region | Rabbit | Home-made | 1/10 000 | |
Synaptic proteins | | | | | | |
α-synuclein | α-syn | Aa 15–123 of rat synuclein-1 | Mouse | BD Labsciences | 1/500 | |
Post-synaptic density 95 | PSD-95 | Human PSD-95 | Rabbit | Cell Signaling | 1/1000 | |
Munc-18 | Munc-18 | Aa 577–594 of rat Munc-18 | Rabbit | Sigma | 1/10 000 | |
Synaptophysine | SYP | Aa 221–313 of human SYP | Mouse | Santa Cruz | 1/10 000 | |
Astrocytic proteins | | | | | | |
Glutamine synthetase | GS | Aa 250–350 of Human GS | Rabbit | Abcam | 1/10 000 | N/A |
Glial Fibrillary Acidic Protein | GFAP | Bovin GFAP FL | Mouse | Santa Cruz | 1/1000 | |
Others | | | | | | |
β-actin | Actin | N-ter | Mouse | Sigma-Aldrich | 1/10 000 | N/A |
Neuron Specific Enolase | NSE | Aa 269–286 of Human NSE | Rabbit | Enzo Life Science | 1/50 000 | N/A |
Aconitase | | Bovine heart mitochondria | Mouse | Abcam | 1/1000 | |
Histone H3 | H3 | C-terminus of human H3 | Rabbit | Millipore | 1/10 000 | |
Sample preparation for two-dimensional differential gel electrophoresis (2D-DIGE)
Frozen UTS brain samples (a total of 1.5 mg of protein for each condition) was unfrozen on ice and proteins were precipitated using chloroform/methanol precipitation [
25]. The protein-dried pellet was resuspended in UTC buffer (Urea 8 M, Thiourea 2 M supplemented with 4 % CHAPS) and kept at −80 °C until use. Protein concentration was measured using Quick-Start Bradford Dye Reagent (Bio-Rad) and sample quality was evaluated by loading 15 μg of proteins onto 4–12 % NuPAGE® Bis-Tris Novex Gels and stained with Coomassie R-250 (Biorad).
2D-DIGE
The 2D-DIGE was performed as previously described [
25]. Briefly, 50 μg of protein was covalently coupled with 400 pmol of cyanine dyes diluted in dimethylformamide, according to the manufacturer’s instructions (CyDIGE, GE Lifesciences). Each sample was labeled with either Cy3 or Cy5 fluorescent dyes (GE Lifesciences) and kept for 1 h at 4 °C in darkness. Cross-labeling with either Cy3 or Cy5 dyes was performed in order to avoid a preferential coupling of one cyanine to a sample. A pool of both samples containing equal amount of protein (50 μg in total) was labeled with Cy2 fluorescent dye and used as internal standard in accordance with the manufacturer’s instructions (GE Lifesciences). Finally, the internal standard labeled with Cy2 and the samples labeled with either Cy3 or Cy5 were pooled and the final volume was adjusted to 350 μL by the addition of rehydration buffer [Urea 8 M, Thiourea 2 M, CHAPS 2 %, Destreak reagent 1.1 % (GE Lifesciences), IPG buffer pH 3–11 1.2 % (GE Lifesciences), bromophenol blue 0.01 %]. Samples were prepared in quadruplicate and loaded onto four independent IPG strips. Eighteen cm long linear pH gradient of 3–11 IPG strips (GE Lifesciences) were rehydrated overnight with the samples in a rehydration cassette recovered with mineral oil. Excess or mineral oil was discarded and isoelectrofocalisation was achieved using IPGphor isoelectric focusing apparatus (GE Lifesciences). A seven steps procedure was applied with the following conditions: 150 V for 1 h, 200 V for 5 h, 200 V to 500 V step gradient for 2 h, 500 to 1000 V step gradient for 2 h, 1000 V to 4000 V gradient for 2 h, and finally 8000 V gradient for 2 h. Current was limited to 50 μA per strip. Strips were then equilibrated in equilibration buffer (Urea 6 M, SDS 2 %, Glycerol 30 %, Tris–HCl 50 mM, pH 8.6) with successively 1 % DTT (dithiothreitol) and 4.7 % iodoacetamide for 15 min. Proteins were then separated in the second dimension on 1 mm-thick 12 % SDS-PAGE gels in an ETTAN DALTSix system (GE Lifesciences). Gels were run at 2.5 W per gel overnight. Fluorescently labeled protein spots were visualized using a Typhon FLA 9500 imager (GE Lifesciences). Gels were scanned at 200 μm resolution and images were exported for further analysis using SameSpots (TotalLab) software.
Data analysis
Spot detection and relative quantification of spot intensity were analyzed using 2-DIGE analysis software package SameSpots (TotalLab). One-way ANOVA statistical test was applied and expression change was considered as significant with an exact p-value below 0.05. Normalization across all gels was performed using the internal standard.
Preparative 2D gels
In order to identify proteins of interest, two preparative 2D-gels with respectively 500 μg of brain protein of each condition were performed. After electrophoresis, gels were fixed in ethanol 30 %, orthophosphoric acid (OPA) 2 % overnight. Following washing in OPA 2 %, gels were incubated 30 min in pre-coloration buffer (ethanol 18 %, OPA 2 % and ammonium sulfate 0.9 M) before Coomassie blue staining (Brillant Blue G-250, Bio-Rad) for 48 h.
Trypsin digestion, mass spectrometry and protein identification
Spot labelling shown to be significantly different between two conditions after SameSpots analyses was manually excised from preparative gels. Each separate spot was incubated in DTT 10 mM and alkylated (iodoacetamide 55 mM) before trypsin digestion (Promega) overnight at 37 °C, according to the manufacturer’s instructions. Supernatants, containing digested peptides, were dried using centrifuge vacuum (Concentrator 5301, Eppendorf) and resuspended in ultra-pure water supplemented with trifluoroacetic acid (TFA) 0,1 %. The resulting peptide mixture was spotted onto a MALDI plate with freshly dissolved α-cyano-4-hydroxycinnaminic acid (10 mg/ml in acetonitrile 50 %, TFA 0.1 %). Mass spectrometry was achieved with a MALDI-TOF-TOF Autoflex Speed (Bruker Daltonics). MS and MS/MS data were analyzed with BioTools software and peptides sequences were analyzed with Mascot (
http://www.matrixscience.com/). A mascot score above 61 was considered significant for protein identification.
mRNA extraction and quantitative real-time polymerase chain reaction (RT-qPCR) analysis
Total RNA was extracted from the tissue of the frontal cortex and purified using the RNeasy Lipid Tissue Mini Kit (Qiagen) following the manufacturer’s instructions. For each RNA sample, integrity (RIN, RNA Integrity Number) was assessed on 2100 bioanalyzer (Agilent Technologies, Waldbronn, Germany) using the RNA 6000 nano kit according to the manufacturer protocol.
One microgram of total RNA was reverse-transcribed using Applied Biosystems High Capactiy cDNA reverse transcription kit. RT-qPCR analysis was performed using an Applied Biosystems Prism 7900 SYBR Green PCR Master Mix. The amplification conditions were as follows: initial step of 10 min at 95 °C, followed by 45 cycles of a 2-step PCR consisting of a 95 °C denaturing step for 15 s followed by a 60 °C extension step for 25 s. Primers used were: Tau 5’UTR 5’ACAGCCACCTTCTCCTCCTC3’ and 5’ GATCTTCCATCACTTCGAACTCC3’; Tau E11-12 5’ACCAGTTGACCTGAGCAAGG3’ and 5’ AGGGACGTGGGTGATATTGT3’ and RPLP0 5’GCAATGTTGCCAGTGTCTG3’ and 5’ GCCTTGACCTTTTCAGCAA3’. Amplifications were carried out in triplicate and the relative expression of target genes was determined by the ΔΔC
T method [
26].
Statistical analysis
For western blot and RT-qPCR statistical analyses, the non-parametric Mann–Whitney test or the Kruskall-Wallis test were performed. All statistical analyses were performed using the GraphPad Prism 6 program (GraphPad Software) and statistical significance was set at * p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
Discussion
For the first time since Zhukareva’s studies, our data clearly demonstrate that the reduced Tau protein expression is restricted to FTLD-TDP brains with mutations on GRN gene. Although several FTLD brains display a lower Tau protein level with Tau C-ter antibody, the labelling obtained with N-ter and Tau 5 shows a relative conservation of Tau protein expression suggesting a preferential degradation of Tau at the C-terminal part in these cases. In contrast, FTLD-TDP-GRNlτ brains exhibit reduced Tau levels with all Tau antibodies tested.
Consistent with previous studies, reduction of Tau protein expression is unlikely to result from extensive neuronal loss as demonstrated by the preserved expression of several specific neuronal proteins [
21,
22]. Moreover, we could not find any correlation between reduced Tau level and PMD, RIN or cortical atrophy. Finally, downregulation of
MAPT transcription does not appear to be responsible for this decrease in Tau since mRNA level remains unchanged in these FTLD-TDP-
GRNlτ brains. Therefore, reduction of Tau protein might rather result from post-transcriptional dysregulations.
TDP-43, the main constituent of aggregates found in FTLD-TDP-
GRNlτ cases, is involved in RNA metabolism and especially in mRNA transport and stability through 3’UTR binding of targeted transcripts (see [
29‐
31] for review). Notably, a recent study showed that loss of TDP-43 function impairs microtubule-dependent transport of mRNA granules towards distal neuronal compartment [
32]. Regarding axonal translation of Tau [
33], loss of TDP-43 function may lead to deficient Tau protein translation. Nevertheless, this hypothesis suggests specific pathophysiological process in FTLD-TDP-
GRNlτ when compared to other FTLD-TDP cases that do not display change in Tau protein level.
MicroRNAs (miRNAs) play a key role in both normal aging and neurodegenerative diseases (see [
34,
35] for review). Interestingly, studies have reported that different miRNA are able to modulate Tau metabolism [
36,
37]. Among them, miR-219 is particularly interesting since it modulates Tau protein translation with relatively low influence on total Tau mRNA level. Consistent with this study, it is worth noting that TDP-43 is also involved in miRNA biogenesis [
38], suggesting that specific miRNA deregulation could lead to a reduction of Tau mRNA translation in FTLD-TDP-
GRNlτ brains. Finally, emerging evidences indicate that Tau is physiologically released into extracellular space through multiple mechanisms such as multivesicular body and ectosome secretion [
39]. It could therefore be interesting to evaluate Tau protein level in cerebrospinal fluid to see if an increase in Tau secretion participates to this reduction of Tau protein expression.
All FTLD-TDP-
GRNlτ cases display mutation on the
GRN gene. It is well established that mutations on
GRN gene induce haploinsufficiency with approximatively 50 % reduction in mRNA levels and 33 % in protein level [
8]. However, how progranulin haploinsuffiency leads to neurodegeneration is still unclear, in part due to the lack of progranulin-deficient models recapitulating FTLD hallmarks. Progranulin is a secreted protein widely expressed throughout the body that exerts numerous functions during development, tumor proliferation and inflammation (see [
40,
41] for review). In adult brain, progranulin is mostly found in neurons and activated microglia [
42] where it regulates neurite outgrowth [
43], synapse biology [
44], stress response [
45] and lysosomal function [
46]. All these data suggest a strong role of progranulin in neurodegenerative diseases but how can we relate the reduction of Tau with
GRN mutations? Depending on the mutation, we observed very distinct phenotype between cases. Indeed, cases affected by a total deletion of one
GRN allele do not display any decrease in Tau expression whereas other point mutations are associated with a huge reduction of all six isoforms. This result is remarkable and suggests for the first time that different mutations can induce distinct phenotype and not only haploinsufficiency. Indeed, homozygous deletion of
GRN does not lead to FTLD-TDP but to another disorder called Neuronal Ceroid Lipofuscinosis (NCL) which is characterized by lysosomal dysfunction [
46]. Thus, a recent study has demonstrated that specific granulins expression, resulting from progranulin extracellular cleavage, could have toxic effect [
47]. These point mutations could lead to modified mRNA leading to the production of toxic granulins. However, the lack of information on the different granulins, and their functions are still unknown and the relationship with Tau metabolism, if any, remains to be experimentally established.
Reduction of Tau protein expression in FTLD-TDP-
GRNlτ brains is intriguing since Tau has essential functions in neuron. Indeed, Tau protein is a microtubule associated protein (MAP) which mainly distributes into axons [
48] and was originally described as a protein regulating the assembly and stabilization of microtubules [
49,
50], therefore modulating axonal transport [
51]. However, recent studies have highlighted a role for Tau in synaptic [
52,
53] and nuclear compartments [
54,
55]. Although initial studies showed that tau-knockout mice develop no evident pathology, probably through MAP1A compensatory effect [
56], recent studies have revealed several pathological modifications in these knockout mice suggesting that Tau is essential for neuronal activity [
57], iron export [
58], neurogenesis [
59] and both long-term depression and long-term potentiation [
60,
61]. Regarding our results, it would not be surprising that decrease in Tau protein expression leads to neuronal dysfunction.
This hypothesis is strengthened by our 2D-DIGE analysis and biochemical validation, demonstrating that expression of several neuronal proteins is either up- or down-regulated. Indeed, both pre- and post-synaptic proteins such as PSD-95, Munc-18, α-synuclein, synaptophysin and syntaxin-binding protein 1 are highly reduced in FTLD-TDP-
GRNlτ brains in comparison to control and FTLD-TDPτ brains. It’s interesting to note that a very recent study has described a link between synaptic dysfunction and progranulin deficiency [
62]. Indeed, progranulin deficiency is able to induce synaptic pruning through lysosome dysfunctions and complement activation. It could explain, in part, the dramatic synaptic loss we found in FTLD-TDP-
GRNlτ brains, in whom progranulin levels are very low. Finally, regarding downregulation of dihydropyriminidase-related protein 2 (DPYSL2), also called collapsin response mediator protein-2 (CRMP2), it should be noted that this protein serves important functions in synaptic plasticity. Moreover, CRMP2 and Tau are both high-abundance microtubule-associated proteins, and overlap in terms of functional regulation [
63]. All these data demonstrate that synaptic functions are impaired in these FTLD-TDP-
GRNlτ brains.
In parallel with these neuronal dysfunctions, an increase in GFAP expression is also observed in FTLD-TDP-
GRNlτ brains. GFAP belongs to intermediate filaments and is expressed mostly in astrocytes. These glial cells are complex highly differentiated cells that perform numerous essential functions in central nervous system (CNS), such as synaptic function and plasticity and maintenance of the neuronal microenvironment homeostasis [
64]. Astrocytes respond to various forms of CNS injury such as infections, ischemia or neurodegenerative diseases through a process referred to as reactive astrogliosis and often characterized by an increase in GFAP expression [
65]. Although a mild to moderate reactive astrogliosis represents a protective mechanism, severe astrogliosis could lead to functional defects including alteration of astrocyte ability to control neuronal microenvironment homeostasis [
66,
67]. Interestingly in FTLD-TDP-
GRNlτ brains, a decrease in GS expression has been found. This astrocytic enzyme that converts glutamate into glutamine is frequently deregulated in neurodegenerative diseases presenting with Tau modification [
68,
69]. Thus, our results indicate that decrease in GS may underlie glutamate homeostasis alteration, leading to more severe failures in synaptic connectivity and transmission in FTLD-TDP-
GRNlτ brains. However, why it is limited to cases presenting with point mutations of
GRN still remains unclear. Beside this, we also found numerous deregulated proteins related to glycolytic metabolism suggesting a critical role for alterations in brain metabolism and energetics in neurodegenerative processes. Therefore, metabolism dysregulation could reflect a more severe pathological state in these brains.