Abstract
Aging and pathologic conditions cause intracellular aggregation of macromolecules and the dysfunction and degeneration of neurons, but the mechanisms are largely unknown. Prime examples are lysosomal storage disorders such as Niemann–Pick type C (NPC) disease, where defects in the endosomal–lysosomal protein NPC1 or NPC2 cause intracellular accumulation of unesterified cholesterol and other lipids leading to neurodegeneration and fatal neurovisceral symptoms. Here, we investigated the impact of NPC1 deficiency on rodent neurons using pharmacologic and genetic models of the disease. Improved ultrastructural detection of lipids and correlative light and electron microscopy identified lamellar inclusions as the subcellular site of cholesterol accumulation in neurons with impaired NPC1 activity. Immunogold labeling combined with transmission electron microscopy revealed the presence of CD63 on internal lamellae and of LAMP1 on the membrane surrounding the inclusions, indicating their origins from intraluminal vesicles of late endosomes and of a lysosomal compartment, respectively. Lamellar inclusions contained cell-intrinsic cholesterol and surface-labeled GM1, indicating the incorporation of plasma membrane components. Scanning electron microscopy revealed that the therapeutic drug candidate β-cyclodextrin induces the subplasmalemmal location of lamellar inclusions and their subsequent release to the extracellular space. In parallel, β-cyclodextrin mediated the NPC1-independent redistribution of cholesterol within neurons and thereby abolished a deleterious cycle of enhanced cholesterol synthesis and its intracellular accumulation, which was indicated by neuron-specific transcript analysis. Our study provides new mechanistic insight into the pathologic aggregation of macromolecules in neurons and suggests exocytosis as cellular target for its therapeutic reversal.
SIGNIFICANCE STATEMENT Many neurodegenerative diseases involve pathologic accumulation of molecules within neurons, but the subcellular location and the cellular impact are often unknown and therapeutic approaches lacking. We investigated these questions in the lysosomal storage disorder Niemann–Pick type C (NPC), where a defect in intracellular cholesterol transport causes loss of neurons and fatal neurovisceral symptoms. Here, we identify lamellar inclusions as the subcellular site of lipid accumulation in neurons, we uncover a vicious cycle of cholesterol synthesis and accretion, which may cause gradual neurodegeneration, and we reveal how β-cyclodextrin, a potential therapeutic drug, reverts these changes. Our study provides new mechanistic insight in NPC disease and uncovers new targets for therapeutic approaches.
Keywords: cholesterol metabolism, electron microscopy, exocytosis, inborn errors metabolism, lysosome, transcript profiling
Introduction
Aging and many pathologic conditions induce the formation of aberrant macromolecular complexes in neurons that cause dysfunction and degeneration. Examples are the age-dependent formation of lipofuscin (Nowotny et al., 2014) and the pathologic aggregation of macromolecules in Alzheimer's disease (Lim and Yue, 2015) and lysosomal storage disorders (Samie and Xu, 2014; Parenti et al., 2015). In most cases, it is unknown where the macromolecular complexes form, how they damage neurons, and whether they can be dissolved. We have addressed these key questions in Niemann–Pick type C (NPC) disease (OMIM #257220), a rare and ultimately fatal autosomal recessive lysosomal storage disorder with aggravating neurologic symptoms (Vance and Karten, 2014; Vanier, 2015) due to progressive neurodegeneration in specific brain areas (Tanaka et al., 1988; German et al., 2001; Yamada et al., 2001; Luan et al., 2008). The disease is caused by genetic defects in NPC1 or NPC2, which are located in the membrane and lumen of late endosomes, respectively (Loftus et al., 1997; Naureckiene et al., 2000). The dysfunction of NPC1 or NPC2 causes accumulation of unesterified cholesterol in the endosomal–lysosomal system (Sokol et al., 1988; Liscum et al., 1989; Kobayashi et al., 1999), which can be detected by cytochemical staining with the fluorescent polyene filipin (Gimpl, 2010). The presence of filipin-positive “perinuclear vesicles” in patient-derived fibroblasts has served as a key diagnostic indicator of NPC disease (Vanier, 2015).
To study pathologic lipid accumulation and its impact on CNS neurons, we have used retinal ganglion cells (RGCs) as an experimental model. These neurons depend on cholesterol import in vitro (Mauch et al., 2001; Nieweg et al., 2009), they are affected by NPC1 deficiency in humans (Palmer et al., 1985) and mice (Claudepierre et al., 2010), and they can be highly purified, allowing for neuron-specific analyses (Meyer-Franke et al., 1995).
Materials and Methods
Preparation of RGCs.
Experimental procedures involving animals and their care were performed in accordance with European and French regulations on animal experimentation (Directive 63/2010 CEE). Animals of either sex were used. For in vitro experiments, RGCs were purified from 1-week-old Wistar rats (Chronobiotron UMS 3415, Strasbourg, France). For ex vivo experiments, RGCs were purified from 1-week-old BALB/c mice homozygous for the recessive NIH allele of Npc1 or from wild-type littermates (BALB/cNctr-Npc1m1N/J; Stock 003092; The Jackson Laboratory; Chronobiotron UMS 3415). Mice were genotyped as described previously (Buard and Pfrieger, 2014). RGCs were purified from rats (Meyer-Franke et al., 1995) and mice (Steinmetz et al., 2006) as described with some modifications. Briefly, animals were anesthetized and killed by decapitation. Retinae were dissected and subjected to mechanic and enzymatic dissociation (Neural Tissue Dissociation Kit, Postnatal Neurons, Miltenyi Biotec). RGCs were purified using a subtraction (for rats, primary: rabbit anti-rat macrophage, Axell/WAK-Chemie, catalog #AI-A51240; secondary: goat anti-rabbit IgG, Jackson ImmunoResearch, catalog #111-005-003; for mice, the primary antibody was omitted) and a selection step (for rats, primary: mouse anti-rat Thy1.1/CD90 clone T11D7e; secondary: goat anti-mouse IgM, Jackson ImmunoResearch, catalog #115-005-003; for mice, primary: mouse anti-mouse CD90 clone F7D5, Bio-Rad, catalog #MCA02R; secondary: goat anti-mouse IgM). RGCs were plated as indicated. For ex vivo experiments, mouse RGCs were used directly after purification or subjected to short-term culture for a maximum of 30 h. For in vitro experiments, rat RGCs were cultured in serum-free medium (Neurobasal, Invitrogen) supplemented with MACS Neurobrew-21 (Miltenyi Biotec), brain-derived neurotrophic factor (25 ng/ml; PeproTech), ciliary neurotrophic factor (10 ng/ml; PeproTech), forskolin (10 μm; Sigma), glutamine (2 mm; Invitrogen), N-acetylcysteine (60 μg/ml; Sigma), penicillin (100 units/ml; Invitrogen), sodium pyruvate (1 mm; Invitrogen), and streptomycin (100 μg/ml; Invitrogen). Unless indicated otherwise, experiments were performed on RGCs treated with glia-conditioned medium (GCM) starting after 1 d in culture. GCM was prepared as described previously (Nieweg et al., 2009). Briefly, mechanically dissociated cortices from postnatal day 1 (P1)–P3 Wistar rats were cultured in poly-d-lysine (PDL)-coated (10 μg/ml; Sigma, catalog #P7886) tissue culture plates (diameter, 10 cm; BD Falcon, catalog #353003) in DMEM (catalog #21969), heat-inactivated fetal calf serum (10%), penicillin (100 units/ml), streptomycin (100 μg/ml), and glutamine (2 mm; all from Invitrogen). After 2 weeks, culture plates were washed with PBS, and glial cells were cultured in Neurobasal medium supplemented with glutamine (2 mm), penicillin (100 units/ml), sodium pyruvate (1 mm), streptomycin (100 μg/ml), and NS21. Two times a week, fresh medium was added, and GCM was harvested after 2 weeks. GCM was spun down (5 min at 3000 × g) to remove cellular debris and used immediately or stored at −20°C. For GCM treatment, two-thirds of the RGC medium was replaced by GCM. As a control, corresponding amounts of medium from RGC cultures were replaced by fresh culture medium. Unless indicated otherwise, rat RGCs were treated with 3-β-[2-(diethylamine)ethoxy]androst-5-en-17-one [U18666A (U18); Interchim] after 2 d in culture at a concentration of 0.5 μg/ml for 48 h. Some cultures were treated for 24–30 h with 2-hydroxypropyl-β-cyclodextrin (HbC) [Sigma catalog #H5784; molecular weight (MW), ∼1400; 50 μm ∼ 70 μg/ml ∼ 0.007% (w/v)], with sulfobutylether-β-cyclodextrin (SbC; Captisol, Ligand Pharmaceuticals; MW, 2163) or with 2-hydroxypropyl-α-cyclodextrin (HaC; Sigma/Aldrich, catalog #390690; MW, ∼1180).
Viability test and cytochemical and immunocytochemical staining.
RGCs were plated on PDL-coated, 96-well microplates (7000 cells per well; black/clear imaging plate; BD Falcon, catalog #353219). Neuronal survival was measured using the Live/Dead viability assay according to the manufacturer's instructions (Invitrogen). For cytochemical detection of cholesterol, RGCs were fixed by paraformaldehyde [PFA; 4% in PBS for 15 min at room temperature (RT)] and subjected to staining with filipin (40 μg/ml in PBS for 2 h at RT; from 250-fold ethanolic stock solution; Sigma, catalog #F9765). To label surface-resident ganglioside GM1, RGCs were cultured for indicated periods of time in the presence of biotinylated cholera toxin B (CTB) subunit (10 ng/ml; Sigma, catalog #C9972), fixed with PFA (4% for 15 min at RT) and reacted with Alexa 488-coupled streptavidin (1:50; Nanoprobes). For immunocytochemistry, RGCs were fixed with PFA (4% for 15 min at RT), permeabilized with sodium borohydride [0.05% NaBH4 (w/v) in PBS for 15 min], and blocked with bovine serum albumin (BSA; 3% in PBS for 15 min). Staining with primary (diluted in 3% BSA/PBS) and secondary antibodies (in PBS; Alexa 594 goat anti-rabbit at 1:1000 and Alexa 488 goat anti-mouse at 1:1000; Invitrogen; from a 50% glycerol/PBS stock) was performed overnight at 4°C and for 1 h at RT, respectively. Nuclei were stained with 4′,6-diamidino-2-phenylindole dihydrochloride (DAPI; 100 ng/ml for 5 min at RT; Sigma, catalog #D9542). Primary antibodies against the following proteins were used: ARHGAP9 (1:250; rabbit polyclonal; Santa Cruz Biotechnology, catalog #Sc-135084), CD63 (for rats, 1:2000, mouse monoclonal, Abcam, catalog #Ab108950; for mice, 1:1000 goat polyclonal, Santa Cruz Biotechnology, catalog #Sc-31214), hexosaminidase A (1:500; rabbit polyclonal; Novus Biologicals, catalog #NBP1-74127); HMGCR (1:2000; rabbit polyclonal; US Biological, catalog #211303), and LAMP1 (1:2000; rabbit polyclonal; Abcam, catalog #Ab24170). Fluorescence and phase-contrast images of cells were acquired on an inverted microscope (Axiovert 135TV; Zeiss) equipped with a metal halide lamp (10%; Lumen 200, Prior Scientific), appropriate excitation/emission filters (Filipin, XF02-2; Alexa 488, XF100-1; Alexa 594, XF102-2; Omega Optical) and objectives (10× or 40× oil, 1.3 numerical aperture; Zeiss), and an air-cooled monochrome CCD camera (Sensicam, PCO Computer Optics) controlled by custom-written LabVIEW routines (National Instruments). Fluorescence micrographs were analyzed using ImageJ (version 1.43u) and custom-written LabVIEW routines to detect somata (viability assay) and labeled puncta (cytochemical and immunocytochemical staining). For soma detection, fluorescence images (10× objective) were segmented by label-specific intensity thresholds [mean + SD × 2.5 (calcein) or 4.0 (ethidium)]. To count the number of live (calcein-stained) and dead (ethidium-stained) cells, binary images were subjected to particle analysis using empirically determined ranges of radius lengths (calcein, 5–30; ethidium, 2–10 pixels). To detect fluorescent puncta, fluorescence images (40× oil) were processed by a Mexican hat filter to enhance puncta-like features using an empirically derived 5 × 5 kernel (0, −2, −2, −2, 0/0, −2, 3, −2, 0/−2, 3, 12, 3, −2/0, −2, 3, −2, 0/0, −2, −2, −2, 0). Filtered images were segmented (mean fluorescence intensity plus constant) and subjected to particle detection (minimum area, 3 pixels) within manually outlined somata, which calculated the numbers and coordinates of detected puncta per soma. Colocalization of markers at detected puncta was determined based on correlation of fluorescence intensities (r > 0.5) across enlarged particle areas (1.5-fold radius length). Fluorescence intensities of detected puncta were calculated as analog-to-digital conversion units (8 bit) integrated over the area (3 pixel minimum) and represented by the third quartile per cell.
Hexosaminidase activity.
Enzyme activity was measured using a fluorogenic substrate-based assay (Wendeler and Sandhoff, 2009). Briefly, lysate or medium from RGCs (20 μl) growing in 96-well plates was incubated at 37°C for 3 h with reaction mix (40 μl) containing sodium citrate (10 mm; pH 4.2) and 4-methylumbelliferyl-2-acetamido-2-deoxy-b-d-glucopyranoside (2 mm; Sigma). The reaction was stopped by adding 200 μl of 0.2 m glycine/0.2 m Na2CO3. The fluorescent product 4-methylumbelliferone was measured in triplicate on a microplate reader (Mithras, Berthold Technologies) using suitable excitation (365 nm) and emission filters (440 nm). Calibration curves were acquired using defined amounts of the fluorescent product in 0.2 m glycine/0.2 m Na2CO3. Note that these experiments were performed in the absence of GCM due to the high basal hexosaminidase activity in glial culture medium.
Transmission electron microscopy.
RGCs plated on PDL-coated coverslips (17,000 per 12 mm diameter; Assistent No. 1001) were fixed with glutaraldehyde (2.5% in 0.1 m cacodylate buffer at pH 7.4 for 1 h at RT; Electron Microscopy Services-EMS) and rinsed with cacodylate buffer. In some experiments, cholesterol was stained by filipin (50 μg/ml for 30 min, from a 100-fold dimethylformamide stock solution). Cells were postfixed for 1 h with osmium tetroxide [OsO4; 1% (w/v)] in cacodylate buffer for the conventional protocol or with OsO4 [2% (w/v)] in 0.1 m imidazole buffer for the lipid-preserving protocol before dehydration, embedding, and ultramicrotomy. To detect GM1, RGCs were plated on PDL-coated coverslips, cultured, and incubated with biotinylated CTB (10 ng/ml; Sigma, catalog #C9972). After indicated times, cells were fixed with PFA (4%) and glutaraldehyde (0.5% in PBS at pH 7.4 for 30 min). To inactivate residual aldehyde groups present after aldehyde fixation and to permeabilize cells, samples were incubated with sodium borohydride [0.05% NaBH4 (w/v) in PBS for 15 min] and blocked in BSA (2% in PBS, three times for 10 min each). Cells were incubated with streptavidine-gold particles (5 nm; 1:100 in PBS with 0.1% BSA; Aurion). After several rinses in Sorensen's phosphate buffer (SPB; 0.1 m, pH 7.4), cells were postfixed in glutaraldehyde (2.5% in SPB) and washed with SPB and with distilled water. Cells were postfixed in OsO4 (0.5% in aqua bidestillata for 15 min).
For immunogold labeling, RGCs plated on PDL-coated glass coverslips were fixed with PFA (4%) and glutaraldehyde (0.1% in PBS at pH 7.4 for 20 min), incubated with sodium borohydride [0.05% NaBH4 (w/v) in PBS for 15 min], and blocked in BSA (2% in PBS, three times for 10 min each). Cells were incubated overnight at 4°C with antibodies against LAMP1 (1:100) and CD63 (1:100; all in PBS with 0.1% BSA). After washing in PBS (2% BSA), cells were incubated with ultrasmall nanogold F(ab′) fragments of goat anti-rabbit or goat anti-mouse immunoglobulin G (1:100 in PBS with 0.1% BSA; Aurion). After several rinses in SPB, cells were postfixed in glutaraldehyde (2.5% in SPB) and washed with SPB and with distilled water. Gold particles were then silver enhanced using the R-Gent SE-EM kit (Aurion). Immunogold-labeled cells were postfixed in OsO4 (0.5% in aqua bidestillata for 15 min). Finally, cells were dehydrated in graded ethanol series and embedded in Embed 812 (EMS). The ultrathin sections were cut with an ultramicrotome (Leica), stained with uranyl acetate [1% (w/v) in 50% ethanol], and examined with a Hitachi H7500 transmission electron microscope equipped with an Advanced Microscopy Techniques/Hamamatsu digital camera. For quantitative analyses of the endosomal–lysosomal system, the different compartments were identified by well-established ultrastructural criteria (Miller and Palade, 1964; Klumperman and Raposo, 2014). Briefly, endosomes are variably shaped with an electron-translucent interior, no or few internal vesicles, and clathrin-coated membrane domains. Multivesicular bodies are spherical structures with a fuzzy internal coat and abundant intraluminal vesicles. Primary lysosomes have a homogenously electron-dense vacuolar matrix. Secondary lysosomes show a more dense vacuolar matrix with more or less degraded material. Residual bodies, also called tertiary lysosomes, show degraded material and a compact electron-dense core. Lamellar inclusions are spherical compartments containing few internal membranes, and multilamellar inclusions are densely filled with concentric membrane sheets. For each experimental condition, electron micrographs from at least 40 cells were analyzed using ImageJ.
Correlative light and electron microscopy.
RGCs cultured on PDL-coated, gridded, thin-bottom tissue culture plates (30,000 cells; μDish 35 mm, Grid-500; Ibidi) were fixed with glutaraldehyde (2.5% in PBS at pH 7.4, for 1 h at RT), rinsed with PBS, treated with glycine (0.1 m in PBS; pH 7.4; for 1 h at RT) to reduce aldehyde-based fluorescence, and subjected to filipin staining (50 μg/ml in PBS for 2 h at RT, from 100-fold dimethylformamide stock solution). RGCs were imaged by phase-contrast and fluorescence microscopy, and the grid coordinates were recorded. Samples were then processed for transmission electron microscopy (TEM), and ultrathin sections were cut from areas covering the recorded grid coordinates. Selected filipin-labeled cells from fluorescence micrographs were localized and photographed on serial ultrathin sections at different magnifications. To define the ultrastructural correlate of filipin-positive puncta, masks derived from filipin fluorescence were aligned to electron micrographs from ultrathin sections.
Scanning electron microscopy.
To detect cholesterol-rich inclusions, cells on PDL-coated 96-well microplates were fixed with glutaraldehyde (2.5% in 0.1 m cacodylate buffer at pH 7.4; for 1 h at RT) and rinsed with cacodylate buffer. Cholesterol was labeled by filipin (50 μg/ml for 30 min, from 100-fold dimethylformamide stock solution) and cells were postfixed with OsO4 [1% (w/v) in cacodylate buffer for 1 h]. For combined immunogold labeling and secondary electron and backscattered electron (BSE) imaging, RGCs were fixed with PFA (4%) and glutaraldehyde (0.1% in PBS at pH 7.4 for 20 min). Samples were blocked in BSA (2% in PBS, three times for 10 min each) and incubated overnight at 4°C with antibodies against LAMP1 (1:200) and CD63 (rat-specific, 1:200; mouse-specific, 1:50; all in PBS with 0.1% BSA). After washing in PBS (2% BSA), samples were incubated with gold F(ab′) fragments of goat anti-rabbit or goat anti-mouse immunoglobulin G (1:100 in PBS with 0.1% BSA; Aurion). After several rinses in SPB, cells were postfixed in glutaraldehyde (2.5% in SPB) before washing with SPB and with distilled water and again postfixed in OsO4 (0.5% in water for 15 min).
To visualize the cytoplasmic face of the plasma membrane, cells were prepared as described previously with modifications (Boyles and Bainton, 1979). Briefly, RGCs plated on glass coverslips were covered by a second coverslip and sequeezed to ensure adhesion of the plasma membranes to the glass surface. Coverslips were then ripped apart to fracture cells horizontally and to expose the cytoplasmic side of the plasma membrane. Top and bottom halves of cells attached to each respective coverslip were fixed with PFA (4%) and glutaraldehyde (0.1% in PBS at pH 7.4 for 20 min). Samples were blocked in BSA (2% in PBS, three times for 10 min each) and incubated overnight at 4°C with antibodies against β-actin (1:200; rabbit polyclonal β-actin; Abcam, catalog #ab8227), class III β-tubulin (TUJ1; 1:200; mouse monoclonal; Covance, catalog #MMS-435P) and VAMP8 (1:500; rabbit polyclconal; Synaptic Systems, catalog #104 302; all in PBS with 0.1% BSA). After washing in PBS (2% BSA), samples were incubated with gold F(ab′) fragments of goat anti-rabbit or goat anti-mouse immunoglobulin G (1:100 in PBS with 0.1% BSA; Aurion).
To detect secreted, cholesterol-rich inclusions in neuron-conditioned culture medium, medium was removed from cells, fixed with 2.5% glutaraldehyde, and added to glass coverslips for sedimentation (1 h). To detect CD63 and GM1 in secreted inclusions, living RGCs were incubated for 48 h with biotinylated CTB as described. Medium was fixed with 4% PFA and 0.1% glutaraldehyde for 15 min, spun down at 13.4 rpm for 60 min, resuspended in sodium borohydride (0.05% in PBS for 15 min), and blocked in BSA (2% in PBS for 30 min). Pellets were incubated overnight at 4°C with an antibody against CD63 (rat-specific, 1:200; in PBS with 0.1% BSA). After washing in BSA (2% in BSA), pellets were incubated with ultrasmall nanogold F(ab′) fragments of goat anti-biotin immunoglobulin G (1:50 in PBS with 0.1% BSA; Aurion) overnight at 4°C. After rinses in SPB and distilled water, gold particles were silver-enhanced for 90 min using the R-Gent SE-EM kit (Aurion). Pellets were then rinsed in distilled water and SPB and incubated with ultrasmall nanogold F(ab′) fragments of goat anti-mouse immunoglobulin G (1:50 in PBS with 0.1% BSA; Aurion) overnight at 4°C. Pellets were postfixed in glutaraldehyde (2.5% in SPB) and washed with SPB and distilled water. Gold particles were silver-enhanced for 60 min using the R-Gent SE-EM kit (Aurion).
All samples were dehydrated in graded ethanol series, desiccated in hexamethyldisilazane, and air dried. Samples were carbon coated and examined by scanning electron microscopy at 15 kV (Hitachi S800). Secondary electron and BSE images were collected simultaneously by corresponding detectors. To analyze the surface distribution of LAMP1, the x–y coordinates of the gold particles were determined using an ImageJ plug-in (Zhang et al., 2006). Ripley's k function was calculated using the coordinates and then standardized to the 99% confidence interval of a random pattern (Zhang et al., 2006).
Analysis of gene expression by RNA sequencing.
Neuronal RNA was harvested immediately after immunopanning from RGCs still attached to the selection plate using a standard kit according to the manufacturer's instructions (RNeasy Plus Micro Kit, Qiagen, catalog #74034). After isolation of total RNA from four wild-type and four NPC1-deficient mice (samples; biological replicates), libraries of template molecules suitable for high throughput DNA sequencing were created using the TruSeq RNA Sample Preparation v2 kit (Illumina; Plateforme Biopuce et Séquencage, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France). Briefly, mRNA was purified from 120–150 ng of total RNA using poly-T oligo-attached magnetic beads and fragmented using divalent cations at 94°C for 8 min. The cleaved mRNA fragments were reverse transcribed to cDNA using random primers, and the second strand of the cDNA was synthesized using DNA polymerase I and RNase H. The double-stranded cDNA fragments were blunted using T4 DNA polymerase, Klenow DNA polymerase, and T4 polynucleotide kinase. A single “A” nucleotide was added to the 3′ ends of the blunt DNA fragments using a Klenow fragment (3′ to 5′ exo minus) enzyme. The cDNA fragments were ligated to double stranded adapters using T4 DNA ligase. The ligated products were enriched by PCR amplification [30 s at 98°C; (10 s at 98°C, 30 s at 60°C, 30 s at 72°C) × 14 cycles; 5 min at 72°C]. Then, surplus PCR primers were removed by purification using AMPure XP beads (Agencourt Biosciences). DNA libraries were checked for quality and quantified using the 2100 Bioanalyzer (Agilent). The libraries were loaded in the flow cell at 7 pm concentration, and clusters were generated in the Cbot and sequenced in the Illumina Hiseq 2500 as single-end 50 base reads. Image analysis and base calling were performed using Real-Time Analysis version 1.17.21.3 and CASAVA version 1.8.2. Reads were mapped onto the mm10 assembly of the mouse genome using Tophat version 2.0.10 and the Bowtie version 2.1.0 aligner. Only uniquely aligned reads were retained for further analyses. Gene expression was quantified using HTSeq version 0.5.4p3 (Anders et al., 2015) and gene annotations from Ensembl release 74. Read counts were normalized across libraries as proposed previously (Anders and Huber, 2010). Comparison between NPC and WT samples was performed as described previously (Love et al., 2014) implemented in the DESeq2 Bioconductor library (version 1.0.19), adjusting for litter effects. Adjustment for multiple testing was performed with the method used by Benjamini and Hochberg (1995). Gene ontology and pathway analysis were performed using the Database for Annotation, Visualization and Integrated Discovery (version 6.7; Huang et al., 2009), using all Gene Ontology (GO) terms for biological process, cellular component, and molecular function, and thresholds for gene count (≥3) and statistical significance [EASE (Expression Analysis Systematic Explorer) score <0.05; p < 0.05 Benjamini–Hochberg corrected t test].
Statistical analysis.
Unless stated otherwise, statistical analyses were performed using the two-tailed multiple comparisons Kruskal–Wallis test (Statistica 12; Dell/StatSoft). Levels of significance are indicated by asterisks in the figure legends. Box plots indicate percentiles of data distributions (boxes: 25, 50, and 75%; whiskers: 5 and 95%). Column plots indicate the means and whiskers the SDs.
Results
To provoke pathologic lipid accumulation in neurons, we treated serum-free cultures of purified RGCs (Fig. 1A) with the amphiphilic cation U18, which induces the cellular phenotype of NPC disease (Liscum and Faust, 1989; Karten et al., 2002) by blocking NPC1 activity (Lu et al., 2015). Treatment with U18 for 48 h induced the presence of filipin-positive puncta in neuronal somata in a dose-dependent manner, but decreased neuronal viability only at the highest concentration tested (Fig. 1B,C). Filipin-positive puncta occurred in the absence or presence of GCM (Fig. 1D), indicating accumulation of endogenous and imported cholesterol, respectively.
Identification of lamellar inclusions as sites of cholesterol accumulation
Next, we searched for the subcellular location of U18-induced cholesterol accumulation in neurons. TEM revealed the presence of round, often vacuolar structures of variable size inside neurons containing bits of electron-dense material in U18-treated (0.5 μg/ml, 48 h) RGCs (Fig. 1E, left), which were absent from untreated controls. To test, whether the vacuolar appearance was due to lipid loss during sample preparation, we treated cells with imidazole, which enhances lipid fixation by osmium tetroxide (Angermüller and Fahimi, 1982). The modified fixation protocol revealed the presence of membraneous lamellae inside the structures (Fig. 1E, middle). Prior staining of cells with filipin strongly increased the electron density of the lamellae probably by enhancing osmium complexation (Fig. 1E, right), indicating that lamellar inclusions contain unesterified cholesterol. Next, we investigated whether filipin-cholesterol-osmium complexes can be visualized in intact cells by scanning electron microscopy combined with BSE detection. Scanning electron microscopy revealed the presence of filipin-osmium-stained cholesterol-rich inclusions inside U18-treated RGCs, but not in untreated neurons or in neurons that were not stained with filipin (Fig. 1F). Next, we performed correlative light and electron microscopy (CLEM), which traces the ultrastructural correlate of fluorescently labeled structures (Sjollema et al., 2012). This approach provided direct evidence that the cholesterol-containing lamellar inclusions observed by TEM correspond to filipin-positive puncta revealed by fluorescence microscopy (n = 5 cells; Fig. 1G).
Accumulation of surface-resident GM1 in cholesterol-rich inclusions
U18 treatment and NPC1 dysfunction cause intracellular accumulation of lipids other than cholesterol (Lloyd-Evans et al., 2008), namely, gangliosides (Sugimoto et al., 2001; Zervas et al., 2001). We therefore studied the distribution of ganglioside GM1, an essential component that controls the structural and functional properties of the neuronal plasma membrane (Ledeen and Wu, 2015). To this end, we took advantage of the fact that surface-resident GM1 can be labeled in living cells by CTB. Incubation of RGCs with CTB for increasing periods of time labeled first the plasma membrane and then intracellular structures due to constitutive endocytosis of GM1 (Fig. 2A,C). In the presence of U18, CTB-labeled GM1 from the cell surface was incorporated into cholesterol-rich lamellar inclusions within 24 to 48 h, as shown by colocalization with filipin (Figs. 2A–C) and TEM (D).
Endosomal–lysosomal origin of lamellar inclusions
Having identified lamellar inclusions as the subcellular site of lipid accumulation, we investigated their relation to the endosomal–lysosomal system, which is the primary target of U18 treatment and NPC1 deficiency (Sokol et al., 1988; Liscum and Faust, 1989). Immunocytochemical staining revealed that U18 enhanced the number of CD63-positive but not of LAMP1-positive puncta in neuronal somata and induced colocalization of both markers with filipin-positive puncta (Figs. 3A,B). Immunogold labeling and TEM of U18-treated RGCs revealed the presence of LAMP1 and CD63 in lamellar inclusions (Fig. 3C). Notably, LAMP1 (Fig. 3C, filled arrowheads) decorated exclusively the membrane surrounding the inclusions, whereas CD63 (empty arrowheads) was restricted to internal lamellae indicating distinct origins of these membrane compartments.
Next, we determined the impact of U18 on the endosomal–lysosomal system by quantitative TEM. Our analysis revealed that U18 enlarged the size of the endosomal–lysosomal system in RGCs (Fig. 4A), induced lamellar inclusions, and reduced the contribution of endosomes, primary lysosomes, and residual bodies to the total endosomal–lysosomal system (Fig. 4B). The fractional area of lamellar inclusions was negatively correlated with that of endosomes and of primary lysosomes (Fig. 4C), suggesting that the inclusions formed at the expense of these compartments.
Cyclodextrin-mediated reversal of cholesterol accumulation by exocytotic release of inclusions
At present, there is no curative treatment for NPC disease, but HbC, a modified β-cyclodextrin, slows down neurodegeneration in animal models of the disease (Liu et al., 2009a; Davidson et al., 2009; Aqul et al., 2011; Vite et al., 2015). To clarify the mechanism of action in neurons, we studied the effect of cyclodextrins on RGCs. Within 24 h of treatment, HbC reverted the U18-induced accumulation of cholesterol in lamellar inclusions and the changes to the endosomal–lysosomal system in a dose-dependent manner (Fig. 5). The reversal was mimicked by SbC, a sulfobutylether derivative of β-cyclodextrin (Ramirez et al., 2011; Taylor et al., 2012; Davidson et al., 2016), but not by HaC (Fig. 5B), probably because the cavity of α-cyclodextrins is too small to harbor cholesterol (Zidovetzki and Levitan, 2007; Gimpl, 2010).
Scanning electron microscopic inspection of RGCs that were treated with U18 and HbC and labeled with filipin and immunogold revealed the occasional presence of cholesterol-rich inclusions at the cell surface that were surrounded by a LAMP1-positive rim of plasma membrane (Fig. 6A,B). This surprising finding suggested that HbC induces the neuronal release of lamellar inclusions. To address this point, we performed immunogold labeling of nonpermeabilized RGCs. Scanning electron microscopy combined with BSE detection revealed that HbC increased the density of LAMP1, but not of CD63 on the neuronal surface (Fig. 6C,D). This effect occurred only in U18-treated cells, but not in untreated controls (Fig. 6D). Regardless of the treatment, the distribution of LAMP1 in the plasma membrane was clustered (Fig. 6E,F).
Further evidence for the HbC-induced release of inclusions was obtained by scanning electron microscopy imaging of sediment from neuron-conditioned medium. In medium from HbC- and U18-treated cells, we observed structures that were of similar size as lamellar inclusions and that contained filipin-osmium-stained cholesterol as well as CTB-labeled GM1 and CD63 (Fig. 6G). We could not detect a HbC-induced increase in hexosaminidase activity in the medium nor colocalization of filipin-stained cholesterol and hexosaminidase in neurons (Fig. 6H,I) suggesting the absence of this lysosomal enzyme from U18-induced inclusions.
To further investigate the exocytotic release of inclusions, we examined the cytoplasmic face of the neuronal plasma membrane using a cell fracturing technique in combination with scanning electron microscopy (Fig. 7A). This approach revealed that HbC strongly enhanced the number of U18-induced cholesterol-rich inclusions attached to the cytoplasmic side of the plasma membrane (Fig. 7B,C). The surface density of LAMP1 (Fig. 6D) and the subplasmalemmal density of inclusions showed remarkably similar dose dependency (Fig. 7C). Immunogold labeling of fractured RGCs combined with scanning electron microscopy revealed an association of subplasmalemmal inclusions with tubulin, actin (Fig. 7B), and VAMP8 (Fig. 7D).
Effects of NPC1 deficiency on RGCs and their reversal by HbC ex vivo
Based on the results obtained with U18 treatment, we studied the impact of NPC1 deficiency on neurons and the effects of HbC. To this end, we established an ex vivo preparation of RGCs that were acutely isolated from retinae of 1-week-old BALB/c mutant mice. With older animals, the purity of the preparation decreased significantly (Fig. 8A). First, we took advantage of this model to define the neuron-specific reaction to NPC1 deficiency using gene expression profiling by high-throughput RNA sequencing (Gene Expression Omnibus accession number GSE75775). Mutant mice showed lower transcript counts than their wild-type littermates (Fig. 8B), and the profiling proved highly reproducible across biological replicates (n = 4 mice per genotype; Fig. 8C,D). Comparison of transcript counts revealed a limited number of genes that are upregulated (n = 75) and downregulated (n = 191) in RGCs acutely purified from mutant mice (n = 4) compared to those from wild-type littermates (n = 4; Fig. 8E). Transcript counts of Npc1 and the neuronal marker Calb1 were reduced in RGCs from mutant mice compared to wild-type littermates (Fig. 8F) as expected based on previous studies (Loftus et al., 1997; German et al., 2001; Claudepierre et al., 2010), thus validating our approach. The observed changes at transcript levels also affected protein levels as shown for ARHGAP9, one of the most strongly downregulated genes (Fig. 8G). GO term analysis revealed increased transcript counts for genes involved in cholesterol and fatty acid synthesis and in lipoprotein accretion and decreased counts for those mediating cholesterol efflux in RGCs from mutant mice compared to wild-type controls (Fig. 8H,I). These findings suggested that already at 1 week of age, NPC1-deficient neurons experience a cholesterol deficit in the endoplasmic reticulum because of its accumulation in the endosomal–lysosomal system.
Indeed, filipin staining, immunocytochemistry, and scanning electron microscopy combined with BSE imaging revealed filipin-positive structures that colocalized with LAMP1 in RGCs from 1-week-old mutant mice, but not in wild-type littermates (Fig. 9A,B). TEM inspection of filipin-stained neurons confirmed the presence of inclusions with electron-dense lamellae (Fig. 9C). Our observation of cholesterol accumulation in our ex vivo preparation prompted us to test the effects of HbC. Treatment of NPC1-deficient RGCs with HbC for 24 to 30 h reverted the intracellular accumulation of filipin-stained cholesterol and of LAMP1 and strongly increased the density of LAMP1 on the cell surface (Fig. 9A,B) indicating the release of cholesterol-rich inclusions. The release was further supported by the presence of filipin-osmium-stained structures still attached to the surface of HbC-treated RGCs from mutant mice (Fig. 9D).
Closer inspection of HbC-treated RGCs from mutant mice by BSE imaging revealed the presence of inclusions within somata that were partially depleted of cholesterol (Fig. 9A, bottom). This observation suggested that HbC mediates the transfer of cholesterol from lamellar inclusions to the cell-intrinsic pools. To test this indirectly, we measured HMGCR levels in somata of RGCs from mutant mice. This experiment revealed a small but robust HbC-induced reduction of somatic HMGCR levels in NPC1-deficient RGCs (Fig. 9E), indicating a redistribution of cholesterol to the endoplasmatic reticulum. Moreover, treatment with cholesterol (10 μg/ml; 24 h) reduced HMGCR levels in RGCs from wild-type mice, but not in those from mutant littermates (Fig. 9E). This validated the downregulation of HMGCR levels by external cholesterol in normal RGCs and the impaired cholesterol transport in NPC1-deficient neurons.
Discussion
Here, we provide new insight into the intracellular location, impact, and therapeutic reversal of pathologic lipid accumulation in neurons affected by NPC disease. Moreover, we deliver refined electron microscopic tools to visualize lipid aggregation in cells at nanoscale resolution.
By improved lipid fixation and CLEM, we identify lamellar inclusions as the subcellular sites of cholesterol accumulation in neurons with impaired NPC1 activity. This finding merges two hallmarks of NPC disease that are observed by light and electron microscopy: the intracellular accumulation of unesterified cholesterol in neurons (Yamada et al., 2001; Karten et al., 2002; Runz et al., 2002; Reid et al., 2004) and the presence of “lamellar bodies” or “myelin figures” in neurons of NPC patients (Harzer et al., 1978) and animal models (Tanaka et al., 1988; Lowenthal et al., 1990; Phillips et al., 2008). The vacuolar appearance of NPC1-deficient neurons (Harzer et al., 1978; Liao et al., 2007) may have been caused by lipid loss after conventional fixation of TEM samples. A previous report showed that U18 binds directly to NPC1 and blocks its activity (Lu et al., 2015). This finding explains why U18 mimics the cellular phenotype of NPC1 deficiency and suggests that lamellar inclusions induced by drug treatment are comparable to those caused by NPC1 deficiency.
Two independent lines of evidence indicate that lamellar inclusions originate from the endosomal–lysosomal system: Our quantitative TEM analysis revealed that their fractional area in individual neuronal somata was inversely proportional to the area of endosomes and lysosomes. Our immunogold labeling defined the origin of their membrane compartments: The presence of LAMP1 on their surrounding membrane indicated that they are late endosome/lysosome-derived or endosome/lysosome-related organelles (Marks et al., 2013). The absence of hexosaminidase suggests that they are distinct from mature lysosomes. The internal lamellae were decorated by CD63, indicating that they originate from intraluminal vesicles of late endosomes (Pols and Klumperman, 2009). The exact mechanism, by which lamellae form, remains to be determined, but the endosomal–lysosomal origin of inclusions further validates them as site of cholesterol accumulation.
Our finding that lamellar inclusions form in the absence of external lipoproteins indicates that impaired activity of NPC1 causes accumulation of neuron-intrinsic cholesterol. This observation is in line with reports on different types of NPC1-deficient cells including neurons (Karten et al., 2002; Reid et al., 2003). A likely source is the plasma membrane, as suggested by previous reports on U18-treated or NPC1-deficient cells showing transfer of cholesterol from the cell surface to lysosomal compartments (Lange et al., 1998). Labeling surface-resident GM1 in living neurons with CTB revealed that this key component of the neuronal plasma membrane becomes trapped in lamellar inclusions during treatment with U18. Thus, inhibition of NPC1 may cause a slow but steady depletion of lipids and other components from the neuronal plasma membrane. This depletion may compromise membrane-dependent signaling processes such as neurotrophin responsiveness, as shown for NPC1-deficient neurons in vitro (Henderson et al., 2000).
Our neuron-specific transcript analysis suggests an upregulation of cholesterol synthesis and uptake and the downregulation of its release in NPC1-deficient neurons already at 1 week of age. These changes were caused by cholesterol accumulation in lamellar inclusions leading to a deficit in the endoplasmatic reticulum (Goldstein et al., 2006). Enhanced cholesterol synthesis in NPC1-deficient neurons has not been reported so far. Measurements of cholesterol synthesis in whole brain extracts from NPC1-deficient mice and wild-type controls (Xie et al., 1999; Repa et al., 2007) cannot detect cell-specific changes, and the presence of serum may perturb the properties of NPC1-deficient neurons (Karten et al., 2002). Moreover, this effect is likely to be absent in U18-treated neurons, because the drug also inhibits cholesterol synthesis (Cenedella, 2009). Overall, we hypothesize that a slow but steady depletion of components from the plasma membrane and a gradual intracellular overload with cholesterol and other molecules produced along the synthesis pathway contribute to the dysfunction and degeneration of specific types of neurons in NPC disease. These changes may first affect compartments that are distant from the cell soma, including axons (Karten et al., 2002) and synapses (Karten et al., 2006; Buard and Pfrieger, 2014).
Our study provides new insight into how HbC reverts the accumulation of cholesterol in neurons with impaired NPC1 activity. Based on preclinical evidence (Liu et al., 2009a; Davidson et al., 2009; Aqul et al., 2011; Vite et al., 2015), this compound is currently being tested in clinical trials as a treatment for NPC disease (Ottinger et al., 2014). Our findings suggest a two-step mechanism of action. First, endocytosed HbC resolubilizes cholesterol contained in lamellar inclusions and promotes its intracellular redistribution in an NPC1- and NPC2-independent manner. This process was indicated by several HbC-induced changes in U18-treated and NPC1-deficient RGCs. TEM revealed a dose-dependent reduction of lamellae within inclusions. Scanning electron microscopy combined with BSE imaging revealed the presence of inclusions that were partially depleted from cholesterol. Immunocytochemical staining showed a significant decrease in HMGCR, indicating its redistribution to the ER, where it induced a reduction of cholesterol biosynthesis. These changes are in agreement with previously reported effects of β-cyclodextrin in cultured fibroblasts (Abi-Mosleh et al., 2009; Rosenbaum et al., 2010) and brain cells (Peake and Vance, 2012; Taylor et al., 2012) and in animal models in vivo (Davidson et al., 2009; Liu et al., 2009a; Aqul et al., 2011; Vite et al., 2015). In a second step, HbC enables the exocytotic release of lamellar inclusions from neurons. This surprising mechanism was indicated by several HbC-induced changes detected by our refined scanning electron microscopy techniques. Immunogold labeling revealed an increased density of LAMP1 clusters in the plasma membrane, which indicates exocytosis of LAMP1-positive compartments (Samie and Xu, 2014). A clustered appearance of LAMP1 on the cell surface was also observed after induction of lysosomal exocytosis in natural killer cells (Liu et al., 2009b). Scanning electron microscopy of intact and fractured cells revealed the presence of cholesterol-rich inclusions at the cytoplasmic face of the plasma membrane, on the cell surface, and in culture medium before, during, and after release, respectively. Finally, immunogold labeling of fractured RGCs revealed a close association of cholesterol-rich inclusions with actin and tubulin and with VAMP8, indicating their active transport to the subplasmalemmal space and their SNARE-dependent exocytosis. Notably, all of these changes occurred only in RGCs with impaired NPC1 activity, and not in untreated RGCs or those isolated from wild-type animals. HbC induced these changes at concentrations between 50 of 100 μm, which have been used previously to revert the NPC phenotype in vitro (Peake and Vance, 2012) and in vivo (Aqul et al., 2011). At 100-fold higher concentrations, HbC extracts cholesterol from the plasma membrane, induces exocytosis in cultured fibroblasts (Chen et al., 2010), and kills primary neurons (Peake and Vance, 2012).
We hypothesize that the resolubilization of cholesterol from inclusions by HbC enables their transport to the plasma membrane (Neefjes and van der Kant, 2014) and their release to the extracellular space. The latter provides an efficient means to remove the enormous amounts of accumulated cholesterol that may become toxic, when resolubilized in toto within cells. The ability of neurons to exocytose LAMP1-positive cargo has not been observed previously. Our results suggest that this pathway can serve as target for therapeutic approaches to NPC and other disorders where lysosomal accumulation of macromolecules causes neurodegeneration (Shen et al., 2012; Samie and Xu, 2014).
Footnotes
This work was supported by the Région Alsace, Région Bourgogne, Laboratoires Fournier, and Niemann-Pick Selbsthilfegruppe e.V. We thank Y. Pongerard and M. Banni for help with mouse breeding; the staff of the Plateforme Biopuce et Séquencage (Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France) for excellent work; and B. A. Barres, K. Harzer, C. Jacob, K. Sandhoff, and V. Pallottini for comments and discussions.
The authors declare no competing financial interests.
References
- Abi-Mosleh L, Infante RE, Radhakrishnan A, Goldstein JL, Brown MS. Cyclodextrin overcomes deficient lysosome-to-endoplasmic reticulum transport of cholesterol in Niemann-Pick type C cells. Proc Natl Acad Sci U S A. 2009;106:19316–19321. doi: 10.1073/pnas.0910916106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11:R106. doi: 10.1186/gb-2010-11-10-r106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Anders S, Pyl PT, Huber W. HTSeq–a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31:166–169. doi: 10.1093/bioinformatics/btu638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Angermüller S, Fahimi HD. Imidazole-buffered osmium tetroxide: an excellent stain for visualization of lipids in transmission electron microscopy. Histochem J. 1982;14:823–835. doi: 10.1007/BF01033631. [DOI] [PubMed] [Google Scholar]
- Aqul A, Liu B, Ramirez CM, Pieper AA, Estill SJ, Burns DK, Liu B, Repa JJ, Turley SD, Dietschy JM. Unesterified cholesterol accumulation in late endosomes/lysosomes causes neurodegeneration and is prevented by driving cholesterol export from this compartment. J Neurosci. 2011;31:9404–9413. doi: 10.1523/JNEUROSCI.1317-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Stat Methodol. 1995;57:289–300. [Google Scholar]
- Boyles J, Bainton DF. Changing patterns of plasma membrane-associated filaments during the initial phases of polymorphonuclear leukocyte adherence. J Cell Biol. 1979;82:347–368. doi: 10.1083/jcb.82.2.347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buard I, Pfrieger FW. Relevance of neuronal and glial NPC1 for synaptic input to cerebellar Purkinje cells. Mol Cell Neurosci. 2014;61:65–71. doi: 10.1016/j.mcn.2014.06.003. [DOI] [PubMed] [Google Scholar]
- Cenedella RJ. Cholesterol synthesis inhibitor U18666A and the role of sterol metabolism and trafficking in numerous pathophysiological processes. Lipids. 2009;44:477–487. doi: 10.1007/s11745-009-3305-7. [DOI] [PubMed] [Google Scholar]
- Chen FW, Li C, Ioannou YA. Cyclodextrin induces calcium-dependent lysosomal exocytosis. PLoS One. 2010;5:e15054. doi: 10.1371/journal.pone.0015054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Claudepierre T, Paques M, Simonutti M, Buard I, Sahel J, Maue RA, Picaud S, Pfrieger FW. Lack of Niemann Pick type C1 induces age-related degeneration in the mouse retina. Mol Cell Neurosci. 2010;43:164–176. doi: 10.1016/j.mcn.2009.10.007. [DOI] [PubMed] [Google Scholar]
- Davidson CD, Ali NF, Micsenyi MC, Stephney G, Renault S, Dobrenis K, Ory DS, Vanier MT, Walkley SU. Chronic cyclodextrin treatment of murine Niemann-Pick C disease ameliorates neuronal cholesterol and glycosphingolipid storage and disease progression. PLoS One. 2009;4:e6951. doi: 10.1371/journal.pone.0006951. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Davidson CD, Fishman YI, Puskás I, Szemán J, Sohajda T, McCauliff LA, Sikora J, Storch J, Vanier MT, Szente L, Walkley SU, Dobrenis K. Efficacy and ototoxicity of different cyclodextrins in Niemann-Pick C disease. Ann Clin Transl Neurol. 2016;3:366–380. doi: 10.1002/acn3.306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- German DC, Quintero EM, Liang CL, Ng B, Punia S, Xie C, Dietschy JM. Selective neurodegeneration, without neurofibrillary tangles, in a mouse model of Niemann-Pick C disease. J Comp Neurol. 2001;433:415–425. doi: 10.1002/cne.1149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gimpl G. Cholesterol-protein interaction: methods and cholesterol reporter molecules. Subcell Biochem. 2010;51:1–45. doi: 10.1007/978-90-481-8622-8_1. [DOI] [PubMed] [Google Scholar]
- Goldstein JL, DeBose-Boyd RA, Brown MS. Protein sensors for membrane sterols. Cell. 2006;124:35–46. doi: 10.1016/j.cell.2005.12.022. [DOI] [PubMed] [Google Scholar]
- Harzer K, Schlote W, Peiffer J, Benz HU, Anzil AP. Neurovisceral lipidosis compatible with Niemann-Pick disease type C: morphological and biochemical studies of a late infantile case and enzyme and lipid assays in a prenatal case of the same family. Acta Neuropathol. 1978;43:97–104. doi: 10.1007/BF00685003. [DOI] [PubMed] [Google Scholar]
- Henderson LP, Lin L, Prasad A, Paul CA, Chang TY, Maue RA. Embryonic striatal neurons from niemann-pick type C mice exhibit defects in cholesterol metabolism and neurotrophin responsiveness. J Biol Chem. 2000;275:20179–20187. doi: 10.1074/jbc.M001793200. [DOI] [PubMed] [Google Scholar]
- Huang da W, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4:44–57. doi: 10.1038/nprot.2008.211. [DOI] [PubMed] [Google Scholar]
- Karten B, Vance DE, Campenot RB, Vance JE. Cholesterol accumulates in cell bodies, but is decreased in distal axons, of Niemann-Pick C1-deficient neurons. J Neurochem. 2002;83:1154–1163. doi: 10.1046/j.1471-4159.2002.01220.x. [DOI] [PubMed] [Google Scholar]
- Karten B, Campenot RB, Vance DE, Vance JE. The Niemann-Pick C1 protein in recycling endosomes of presynaptic nerve terminals. J Lipid Res. 2006;47:504–514. doi: 10.1194/jlr.M500482-JLR200. [DOI] [PubMed] [Google Scholar]
- Klumperman J, Raposo G. The complex ultrastructure of the endolysosomal system. Cold Spring Harb Perspect Biol. 2014;6:a016857. doi: 10.1101/cshperspect.a016857. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kobayashi T, Beuchat MH, Lindsay M, Frias S, Palmiter RD, Sakuraba H, Parton RG, Gruenberg J. Late endosomal membranes rich in lysobisphosphatidic acid regulate cholesterol transport. Nat Cell Biol. 1999;1:113–118. doi: 10.1038/10084. [DOI] [PubMed] [Google Scholar]
- Lange Y, Ye J, Steck TL. Circulation of cholesterol between lysosomes and the plasma membrane. J Biol Chem. 1998;273:18915–18922. doi: 10.1074/jbc.273.30.18915. [DOI] [PubMed] [Google Scholar]
- Ledeen RW, Wu G. The multi-tasked life of GM1 ganglioside, a true factotum of nature. Trends Biochem Sci. 2015;40:407–418. doi: 10.1016/j.tibs.2015.04.005. [DOI] [PubMed] [Google Scholar]
- Liao G, Yao Y, Liu J, Yu Z, Cheung S, Xie A, Liang X, Bi X. Cholesterol accumulation is associated with lysosomal dysfunction and autophagic stress in Npc1−/− mouse brain. Am J Pathol. 2007;171:962–975. doi: 10.2353/ajpath.2007.070052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lim J, Yue Z. Neuronal aggregates: formation, clearance, and spreading. Dev Cell. 2015;32:491–501. doi: 10.1016/j.devcel.2015.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liscum L, Faust JR. The intracellular transport of low density lipoprotein-derived cholesterol is inhibited in Chinese hamster ovary cells cultured with 3-beta-[2-(diethylamino)ethoxy]androst-5-en-17-one. J Biol Chem. 1989;264:11796–11806. [PubMed] [Google Scholar]
- Liscum L, Ruggiero RM, Faust JR. The intracellular transport of low density lipoprotein-derived cholesterol is defective in Niemann-Pick type C fibroblasts. J Cell Biol. 1989;108:1625–1636. doi: 10.1083/jcb.108.5.1625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu B, Turley SD, Burns DK, Miller AM, Repa JJ, Dietschy JM. Reversal of defective lysosomal transport in NPC disease ameliorates liver dysfunction and neurodegeneration in the npc1−/− mouse. Proc Natl Acad Sci U S A. 2009a;106:2377–2382. doi: 10.1073/pnas.0810895106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu D, Bryceson YT, Meckel T, Vasiliver-Shamis G, Dustin ML, Long EO. Integrin-dependent organization and bidirectional vesicular traffic at cytotoxic immune synapses. Immunity. 2009b;31:99–109. doi: 10.1016/j.immuni.2009.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lloyd-Evans E, Morgan AJ, He X, Smith DA, Elliot-Smith E, Sillence DJ, Churchill GC, Schuchman EH, Galione A, Platt FM. Niemann-Pick disease type C1 is a sphingosine storage disease that causes deregulation of lysosomal calcium. Nat Med. 2008;14:1247–1255. doi: 10.1038/nm.1876. [DOI] [PubMed] [Google Scholar]
- Loftus SK, Morris JA, Carstea ED, Gu JZ, Cummings C, Brown A, Ellison J, Ohno K, Rosenfeld MA, Tagle DA, Pentchev PG, Pavan WJ. Murine model of Niemann-Pick C disease: mutation in a cholesterol homeostasis gene. Science. 1997;277:232–235. doi: 10.1126/science.277.5323.232. [DOI] [PubMed] [Google Scholar]
- Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lowenthal AC, Cummings JF, Wenger DA, Thrall MA, Wood PA, de Lahunta A. Feline sphingolipidosis resembling Niemann-Pick disease type C. Acta Neuropathol (Berl) 1990;81:189–197. doi: 10.1007/BF00334507. [DOI] [PubMed] [Google Scholar]
- Lu F, Liang Q, Abi-Mosleh L, Das A, De Brabander JK, Goldstein JL, Brown MS. Identification of NPC1 as the target of U18666A, an inhibitor of lysosomal cholesterol export and Ebola infection. Elife. 2015;4:e12177. doi: 10.7554/eLife.12177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Luan Z, Saito Y, Miyata H, Ohama E, Ninomiya H, Ohno K. Brainstem neuropathology in a mouse model of Niemann-Pick disease type C. J Neurol Sci. 2008;268:108–116. doi: 10.1016/j.jns.2007.11.018. [DOI] [PubMed] [Google Scholar]
- Marks MS, Heijnen HF, Raposo G. Lysosome-related organelles: unusual compartments become mainstream. Curr Opin Cell Biol. 2013;25:495–505. doi: 10.1016/j.ceb.2013.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mauch DH, Nägler K, Schumacher S, Göritz C, Müller EC, Otto A, Pfrieger FW. CNS synaptogenesis promoted by glia-derived cholesterol. Science. 2001;294:1354–1357. doi: 10.1126/science.294.5545.1354. [DOI] [PubMed] [Google Scholar]
- Meyer-Franke A, Kaplan MR, Pfrieger FW, Barres BA. Characterization of the signaling interactions that promote the survival and growth of developing retinal ganglion cells in culture. Neuron. 1995;15:805–819. doi: 10.1016/0896-6273(95)90172-8. [DOI] [PubMed] [Google Scholar]
- Miller F, Palade GE. Lytic activities in renal protein absoption droplets. An electron microscopical cytochemical study. J Cell Biol. 1964;23:519–552. doi: 10.1083/jcb.23.3.519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Naureckiene S, Sleat DE, Lackland H, Fensom A, Vanier MT, Wattiaux R, Jadot M, Lobel P. Identification of HE1 as the Second Gene of Niemann-Pick C Disease. Science. 2000;290:2298–2301. doi: 10.1126/science.290.5500.2298. [DOI] [PubMed] [Google Scholar]
- Neefjes J, van der Kant R. Stuck in traffic: an emerging theme in diseases of the nervous system. Trends Neurosci. 2014;37:66–76. doi: 10.1016/j.tins.2013.11.006. [DOI] [PubMed] [Google Scholar]
- Nieweg K, Schaller H, Pfrieger FW. Marked differences in cholesterol synthesis between neurons and glial cells from postnatal rats. J Neurochem. 2009;109:125–134. doi: 10.1111/j.1471-4159.2009.05917.x. [DOI] [PubMed] [Google Scholar]
- Nowotny K, Jung T, Grune T, Höhn A. Accumulation of modified proteins and aggregate formation in aging. Exp Gerontol. 2014;57:122–131. doi: 10.1016/j.exger.2014.05.016. [DOI] [PubMed] [Google Scholar]
- Ottinger EA, Kao ML, Carrillo-Carrasco N, Yanjanin N, Shankar RK, Janssen M, Brewster M, Scott I, Xu X, Cradock J, Terse P, Dehdashti SJ, Marugan J, Zheng W, Portilla L, Hubbs A, Pavan WJ, Heiss J, Vite CH, Walkley SU, et al. Collaborative development of 2-hydroxypropyl-beta-cyclodextrin for the treatment of Niemann-Pick type C1 disease. Curr Top Med Chem. 2014;14:330–339. doi: 10.2174/1568026613666131127160118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Palmer M, Green WR, Maumenee IH, Valle DL, Singer HS, Morton SJ, Moser HW. Niemann-Pick disease–type C. Ocular histopathologic and electron microscopic studies. Arch Ophthalmol. 1985;103:817–822. doi: 10.1001/archopht.1985.01050060077030. [DOI] [PubMed] [Google Scholar]
- Parenti G, Andria G, Ballabio A. Lysosomal storage diseases: from pathophysiology to therapy. Annu Rev Med. 2015;66:471–486. doi: 10.1146/annurev-med-122313-085916. [DOI] [PubMed] [Google Scholar]
- Peake KB, Vance JE. Normalization of cholesterol homeostasis by 2-hydroxypropyl-beta-cyclodextrin in neurons and glia from Niemann-Pick C1 (NPC1)-deficient mice. J Biol Chem. 2012;287:9290–9298. doi: 10.1074/jbc.M111.326405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phillips SE, Woodruff EA, 3rd, Liang P, Patten M, Broadie K. Neuronal loss of Drosophila NPC1a causes cholesterol aggregation and age-progressive neurodegeneration. J Neurosci. 2008;28:6569–6582. doi: 10.1523/JNEUROSCI.5529-07.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pols MS, Klumperman J. Trafficking and function of the tetraspanin CD63. Exp Cell Res. 2009;315:1584–1592. doi: 10.1016/j.yexcr.2008.09.020. [DOI] [PubMed] [Google Scholar]
- Ramirez CM, Liu B, Aqul A, Taylor AM, Repa JJ, Turley SD, Dietschy JM. Quantitative role of LAL, NPC2, and NPC1 in lysosomal cholesterol processing defined by genetic and pharmacological manipulations. J Lipid Res. 2011;52:688–698. doi: 10.1194/jlr.M013789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reid PC, Sugii S, Chang TY. Trafficking defects in endogenously synthesized cholesterol in fibroblasts, macrophages, hepatocytes, and glial cells from Niemann-Pick type C1 mice. J Lipid Res. 2003;44:1010–1019. doi: 10.1194/jlr.M300009-JLR200. [DOI] [PubMed] [Google Scholar]
- Reid PC, Sakashita N, Sugii S, Ohno-Iwashita Y, Shimada Y, Hickey WF, Chang TY. A novel cholesterol stain reveals early neuronal cholesterol accumulation in the Niemann-Pick type C1 mouse brain. J Lipid Res. 2004;45:582–591. doi: 10.1194/jlr.D300032-JLR200. [DOI] [PubMed] [Google Scholar]
- Repa JJ, Li H, Frank-Cannon TC, Valasek MA, Turley SD, Tansey MG, Dietschy JM. Liver X receptor activation enhances cholesterol loss from the brain, decreases neuroinflammation, and increases survival of the NPC1 mouse. J Neurosci. 2007;27:14470–14480. doi: 10.1523/JNEUROSCI.4823-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rosenbaum AI, Zhang G, Warren JD, Maxfield FR. Endocytosis of beta-cyclodextrins is responsible for cholesterol reduction in Niemann-Pick type C mutant cells. Proc Natl Acad Sci U S A. 2010;107:5477–5482. doi: 10.1073/pnas.0914309107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Runz H, Rietdorf J, Tomic I, de Bernard M, Beyreuther K, Pepperkok R, Hartmann T. Inhibition of intracellular cholesterol transport alters presenilin localization and amyloid precursor protein processing in neuronal cells. J Neurosci. 2002;22:1679–1689. doi: 10.1523/JNEUROSCI.22-05-01679.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Samie MA, Xu H. Lysosomal exocytosis and lipid storage disorders. J Lipid Res. 2014;55:995–1009. doi: 10.1194/jlr.R046896. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shen D, Wang X, Li X, Zhang X, Yao Z, Dibble S, Dong XP, Yu T, Lieberman AP, Showalter HD, Xu H. Lipid storage disorders block lysosomal trafficking by inhibiting a TRP channel and lysosomal calcium release. Nat Commun. 2012;3:731. doi: 10.1038/ncomms1735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sjollema KA, Schnell U, Kuipers J, Kalicharan R, Giepmans BN. Correlated light microscopy and electron microscopy. Methods Cell Biol. 2012;111:157–173. doi: 10.1016/B978-0-12-416026-2.00009-1. [DOI] [PubMed] [Google Scholar]
- Sokol J, Blanchette-Mackie J, Kruth HS, Dwyer NK, Amende LM, Butler JD, Robinson E, Patel S, Brady RO, Comly ME. Type C Niemann-Pick disease. Lysosomal accumulation and defective intracellular mobilization of low density lipoprotein cholesterol. J Biol Chem. 1988;263:3411–3417. [PubMed] [Google Scholar]
- Steinmetz CC, Buard I, Claudepierre T, Nägler K, Pfrieger FW. Regional variations in the glial influence on synapse development in the mouse CNS. J Physiol. 2006;577:249–261. doi: 10.1113/jphysiol.2006.117358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sugimoto Y, Ninomiya H, Ohsaki Y, Higaki K, Davies JP, Ioannou YA, Ohno K. Accumulation of cholera toxin and GM1 ganglioside in the early endosome of Niemann-Pick C1-deficient cells. Proc Natl Acad Sci U S A. 2001;98:12391–12396. doi: 10.1073/pnas.221181998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tanaka J, Nakamura H, Miyawaki S. Cerebellar involvement in murine sphingomyelinosis: a new model of Niemann-Pick disease. J Neuropathol Exp Neurol. 1988;47:291–300. doi: 10.1097/00005072-198805000-00008. [DOI] [PubMed] [Google Scholar]
- Taylor AM, Liu B, Mari Y, Liu B, Repa JJ. Cyclodextrin mediates rapid changes in lipid balance in Npc1−/− mice without carrying cholesterol through the bloodstream. J Lipid Res. 2012;53:2331–2342. doi: 10.1194/jlr.M028241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vance JE, Karten B. Niemann-Pick C disease and mobilization of lysosomal cholesterol by cyclodextrin. J Lipid Res. 2014;55:1609–1621. doi: 10.1194/jlr.R047837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vanier MT. Complex lipid trafficking in Niemann-Pick disease type C. J Inherit Metab Dis. 2015;38:187–199. doi: 10.1007/s10545-014-9794-4. [DOI] [PubMed] [Google Scholar]
- Vite CH, Bagel JH, Swain GP, Prociuk M, Sikora TU, Stein VM, O'Donnell P, Ruane T, Ward S, Crooks A, Li S, Mauldin E, Stellar S, De Meulder M, Kao ML, Ory DS, Davidson C, Vanier MT, Walkley SU. Intracisternal cyclodextrin prevents cerebellar dysfunction and Purkinje cell death in feline Niemann-Pick type C1 disease. Sci Transl Med. 2015;7:276ra26. doi: 10.1126/scitranslmed.3010101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wendeler M, Sandhoff K. Hexosaminidase assays. Glycoconj J. 2009;26:945–952. doi: 10.1007/s10719-008-9137-5. [DOI] [PubMed] [Google Scholar]
- Xie C, Turley SD, Pentchev PG, Dietschy JM. Cholesterol balance and metabolism in mice with loss of function of Niemann-Pick C protein. Am J Physiol. 1999;276:E336–E344. doi: 10.1152/ajpendo.1999.276.2.E336. [DOI] [PubMed] [Google Scholar]
- Yamada A, Saji M, Ukita Y, Shinoda Y, Taniguchi M, Higaki K, Ninomiya H, Ohno K. Progressive neuronal loss in the ventral posterior lateral and medial nuclei of thalamus in Niemann-Pick disease type C mouse brain. Brain Dev. 2001;23:288–297. doi: 10.1016/S0387-7604(01)00209-1. [DOI] [PubMed] [Google Scholar]
- Zervas M, Dobrenis K, Walkley SU. Neurons in Niemann-Pick disease type C accumulate gangliosides as well as unesterified cholesterol and undergo dendritic and axonal alterations. J Neuropathol Exp Neurol. 2001;60:49–64. doi: 10.1093/jnen/60.1.49. [DOI] [PubMed] [Google Scholar]
- Zhang J, Leiderman K, Pfeiffer JR, Wilson BS, Oliver JM, Steinberg SL. Characterizing the topography of membrane receptors and signaling molecules from spatial patterns obtained using nanometer-scale electron-dense probes and electron microscopy. Micron. 2006;37:14–34. doi: 10.1016/j.micron.2005.03.014. [DOI] [PubMed] [Google Scholar]
- Zidovetzki R, Levitan I. Use of cyclodextrins to manipulate plasma membrane cholesterol content: evidence, misconceptions and control strategies. Biochim Biophys Acta. 2007;1768:1311–1324. doi: 10.1016/j.bbamem.2007.03.026. [DOI] [PMC free article] [PubMed] [Google Scholar]