Sex-dependent calcium hyperactivity due to lysosomal-related dysfunction in astrocytes from APOE4 versus APOE3 gene targeted replacement mice

Raquel Larramona-Arcas; Candela González-Arias; Gertrudis Perea; Antonia Gutiérrez; Javier Vitorica; Tamara García-Barrera; José Luis Gómez-Ariza; Raquel Pascua-Maestro; María Dolores Ganfornina; Eleanna Kara; Eloise Hudry; Marta Martinez-Vicente; Miquel Vila; Elena Galea; Roser Masgrau

doi:10.1186/s13024-020-00382-8

Research article
Open Access
Published: 09 June 2020

Sex-dependent calcium hyperactivity due to lysosomal-related dysfunction in astrocytes from APOE4 versus APOE3 gene targeted replacement mice

Molecular Neurodegeneration volume 15, Article number: 35 (2020) Cite this article

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Abstract

Background

The apolipoprotein E (APOE) gene exists in three isoforms in humans: APOE2, APOE3 and APOE4. APOE4 causes structural and functional alterations in normal brains, and is the strongest genetic risk factor of the sporadic form of Alzheimer’s disease (LOAD). Research on APOE4 has mainly focused on the neuronal damage caused by defective cholesterol transport and exacerbated amyloid-β and Tau pathology. The impact of APOE4 on non-neuronal cell functions has been overlooked. Astrocytes, the main producers of ApoE in the healthy brain, are building blocks of neural circuits, and Ca²⁺ signaling is the basis of their excitability. Because APOE4 modifies membrane-lipid composition, and lipids regulate Ca²⁺ channels, we determined whether APOE4 dysregulates Ca²⁺signaling in astrocytes.

Methods

Ca²⁺ signals were recorded in astrocytes in hippocampal slices from APOE3 and APOE4 gene targeted replacement male and female mice using Ca²⁺ imaging. Mechanistic analyses were performed in immortalized astrocytes. Ca²⁺ fluxes were examined with pharmacological tools and Ca²⁺ probes. APOE3 and APOE4 expression was manipulated with GFP-APOE vectors and APOE siRNA. Lipidomics of lysosomal and whole-membranes were also performed.

Results

We found potentiation of ATP-elicited Ca²⁺responses in APOE4 versus APOE3 astrocytes in male, but not female, mice. The immortalized astrocytes modeled the male response, and showed that Ca²⁺ hyperactivity associated with APOE4 is caused by dysregulation of Ca²⁺ handling in lysosomal-enriched acidic stores, and is reversed by the expression of APOE3, but not of APOE4, pointing to loss of function due to APOE4 malfunction. Moreover, immortalized APOE4 astrocytes are refractory to control of Ca²⁺ fluxes by extracellular lipids, and present distinct lipid composition in lysosomal and plasma membranes.

Conclusions

Immortalized APOE4 versus APOE3 astrocytes present: increased Ca²⁺ excitability due to lysosome dysregulation, altered membrane lipidomes and intracellular cholesterol distribution, and impaired modulation of Ca²⁺ responses upon changes in extracellular lipids. Ca²⁺ hyperactivity associated with APOE4 is found in astrocytes from male, but not female, targeted replacement mice. The study suggests that, independently of Aβ and Tau pathologies, altered astrocyte excitability might contribute to neural-circuit hyperactivity depending on APOE allele, sex and lipids, and supports lysosome-targeted therapies to rescue APOE4 phenotypes in LOAD.

Background

Apolipoprotein E is a component of lipoproteins involved in extracellular lipid transport and cholesterol fluxes throughout the body, including the brain [1]. In humans, APOE exists in three isoforms: APOE2, 3—the most common allele—and 4. Although the three isoforms differ only in the amino acids in positions 112 and 158 at the N-terminal domain of the protein [2], this minimal difference results in a structural change in the APOE4 isoform that profoundly compromises its function [3], as shown by a wealth of studies in mice and humans that document the impact of APOE genotype on the structure and function of the healthy brain. Thus, in humans, APOE4 is associated with reduced memory retention [4], altered neural activity and brain connectivity [5], reduced grid-cell like representations [6], reduced dendritic spine density [7], and hypometabolism measured with fluorodeoxyglucose-based PET [8]. Furthermore, APOE4 knock-in mice present alterations of behavior, olfactory memory and neurotransmission, as well as decreased dendritic arborization and metabolic alterations [9,10,11,12,13], as compared to APOE3 knock-in mice. Not only is normal brain function compromised by APOE4, but APOE4 is also the strongest genetic risk factor in late-onset Alzheimer’s disease (LOAD) [14], the principal cause of age-related dementia, affecting millions of people around the world [15]. A complex interaction exists among sex, age and APOE4 load. Thus, according to a meta-analysis, heterozygous APOE3/APOE4 women present increased risk of LOAD between the ages of 65 and 75 years, and increased risk of mild cognitive impairment (MCI) between the ages of 55 and 70, as compared to men [16]. Homozygous APOE4 subjects show increased risk compared to APOE3/APOE4 heterologous individuals [16,17,18], with men being at greater risk as reviewed by Riedel and colleagues [17] but not according to other authors [18]. In addition, detrimental actions of APOE4 have been reported in other neurodegenerative disorders such as frontotemporal dementia [19], cerebrovascular disease [20] and traumatic brain injury [21].

The mechanisms whereby APOE4 is pathological in normal and diseased brain are not totally clarified [15]. An outstanding question is whether APOE4 affects the function of brain cells other than neurons. Although microglia and neurons secrete ApoE in pathological conditions, as described in mouse neurons injured with kainic acid [22], and in human LOAD brains, where microglia produces and deposits ApoE in senile plaques [23] and appears to mediate Tau pathology [24], it is often overlooked that APOE is mainly synthesized, secreted, and lipidated by astrocytes in physiological and pathological conditions [3]. Astrocytes can also take up lipoproteins, as they express APOE receptors such as the LRP1 receptor [25].

Astrocytes are building blocks of neural circuits, where they modulate neuronal activity [26]. Apart from the impact of APOE4 on synaptogenesis [27] and synaptic transmission [28] by lowering the delivery of cholesterol from astrocytes to neurons, the question of whether APOE4 compromises the global control of astrocytes over neuronal activities has not been examined. Among phenomena modulated by astrocytes there are, to cite a few, long-term potentiation (LTP), memory consolidation, and circadian rhythms [29,30,31,32]. Central to astrocyte-to-neuron communication is Ca²⁺ signaling in astrocytes. Thus, although astrocytes are considered non-excitable cells in terms of action potentials, they respond by way of Ca²⁺ signals to neurotransmitters. In turn, such Ca²⁺ responses promote the release of several molecules called gliotransmitters, such as ATP, glutamate, D-serine or GABA [29, 30, 32,33,34]. Ca²⁺ signaling is thus considered the basis of astrocyte excitability, which is exquisitely precise owing to unique spatiotemporal Ca²⁺ features resulting from the combination of Ca²⁺ signaling pathways orchestrated by different second messengers, and intracellular organelles [35]. Pathways include inositol 1,4,5-triphosphate (IP3)-mediated Ca²⁺ release from the endoplasmic reticulum (ER) [36], and nicotinic acid adenine dinucleotide phosphate (NAADP)-elicited mobilization from acidic organelles, a heterogeneous population of vesicles highly enriched in lysosomes [37]. Extracellular Ca²⁺ entry and mitochondrial Ca²⁺ uptake can further shape cytosolic Ca²⁺ increases [37, 38]. Of note, dysregulation of Ca²⁺ signaling in astrocytes has been reported in animal models of LOAD [39]. However, Ca²⁺ signaling has never been studied in astrocytes in the context of APOE4.

APOE genotype confers distinct composition to lipid membranes [40], and it is well established that lipid composition (e.g., contents of cholesterol and phospholipids) affects the function of membrane-associated enzymes, receptors, and channels [41]. On the basis of this evidence, we posited that APOE4 dysregulates Ca²⁺ excitability in astrocytes by modifying membrane lipid composition. To test this hypothesis, we studied ex vivo Ca²⁺ signaling in hippocampal astrocytes of female and male mice with human APOE3 and APOE4 gene targeted replacement of the endogenous mouse APOE [42, 43]. We found that Ca²⁺ responses induced by the stimulation of purinergic receptors were upregulated in APOE4 versus (vs) APOE3 astrocytes in male, but not in female mice. Next, we clarified the underlying mechanisms in cultured immortalized astrocytes expressing human APOE3 and APOE4 [44]. The cells reproduced the ex vivo model of male mice, as Ca²⁺ responses were increased in immortalized APOE4 cells as compared to APOE3 cells. Cultured APOE4 astrocytes released more Ca²⁺ from their acidic stores upon purinergic stimulation. Manipulation of APOE4 and APOE3 expression revealed that it is the allele, not the reduced synthesis, that caused altered Ca²⁺ signaling in immortalized APOE4 astrocytes. Finally, we demonstrated that APOE4 astrocytes have distinct lipidome and were refractory to control Ca²⁺ fluxes by extracellular lipids. Taken together, the data suggest that the APOE genotype modulates Ca²⁺ fluxes in astrocytes in a lipid, lysosome and sex-dependent manner. Future research will clarify whether dysregulation of astrocyte excitability contributes to the increased risk of developing LOAD and other brain pathologies in APOE4 carriers.

Materials and methods

Animal model

Nine- to 12-week-old male and female APOE3 and APOE4 transgenic mice homozygous for the human APOE3 or APOE4 gene replacing the endogenous mouse APOE gene were purchased from Taconic (USA) [42, 43]. All experimental procedures were performed according to the animal research regulations (RD53/2013 and 2010/63/UE) of Spain and the European Union, and with the approval of the Committees of Animal Research from the Institutional Animal Ethics Committee of CSIC. Animals were housed in standard laboratory cages with ad libitum access to food and water, under a 12:12 h dark-light cycle in temperature controlled rooms.

Cell culture

APOE3 and APOE4 immortalized astrocytes were a gift from Dr. Holtzman (Washington University) [44]. Immortalized astrocytes were routinely grown at 37 °C in 5% CO₂ humidified atmosphere air in advanced DMEM medium supplemented with 1 mM of Na⁺ pyruvate, 10% fetal bovine serum (FBS), 100 U/mL of penicillin, 100 μg/mL of streptomycin, and 0.2 mg/ml of geneticine. Cell passages were performed with trypsin once per week up to passage 10.

Ca²⁺ imaging in astrocytes ex vivo in brain slices

Animals were sacrificed; the brain was rapidly removed and placed in ice-cold modified artificial cerebrospinal fluid medium (ACSF). To reduce swelling and damage in superficial layers, N-methyl-D-glucamine (NMDG)-ACSF was used during brain sectioning, NMDG being a substitute for sodium ions in a wide range of adult ages and applications [45]. NMDG-ACSF contained [in mM]: NMDG 93, KCl 2.5, NaH₂PO₄ 1.2, NaHCO₃ 30, HEPES 20, MgSO₄ 10, CaCl₂ 0.5, glucose 25, sodium ascorbate 5, thiourea 2, sodium pyruvate 3, gassed with 95% O₂/5% CO₂ (pH 7.3–7.4). Hippocampal slices (350 μm) obtained with a vibratome (Leica Vibratome VT1200S, Germany) were incubated in NMDG-ACSF for 10 min at 34 °C, and then equilibrated for more than 1 h at room temperature (22–24 °C) prior cell loading with fluorochromes in ACSF containing [in mM]: NaCl 124, KCl 2.69, KH₂PO₄ 1.25, MgSO₄ 2, NaHCO₃ 26, CaCl₂ 2, and glucose 10, gassed with 95% O₂/5% CO₂ (pH 7.3–7.4). Slices were loaded with sulforhodamine 101 (SR101, 1 μM) for 20 min at 34 °C for astrocyte labeling [46,47,48], and washed in ACSF for 10 min at 34 °C. After SR101 labeling, slices were loaded with 2 mM of fluo-4/AM for 20–30 min at room temperature. After washing fluo-4/AM overloading in ACSF, slices were kept in ACSF medium supplemented with 10% FBS at the stage of a Nikon Eclipse FN1 microscope coupled to a CCD camera (ORCA-R², Hamamatsu, Japan). Cells were illuminated for 100–200 ms at 490 nm using LED system (CoolLED pE-100), and images from stratum radiatum astrocytes were acquired every 1 s. The LED system and the camera were controlled and synchronized by the NIS-Elements software (Nikon, Japan) that was also used for epifluorescence measurements. Astrocyte Ca²⁺ levels were recorded from the astrocyte cell body, and Ca²⁺ variations were quantified as changes in the fluorescence signal (F) over the baseline (F₀) ((F-F₀)/F₀). Two protocols of Ca²⁺ monitoring were used. Firstly, spontaneous events were studied by recording Ca²⁺ events for 120 s. Secondly, ATP-induced responses were studied by recording Ca²⁺ baseline for 30 s, followed by local application of ATP (1 mM; 5 s) to activate purinergic receptors for 30 s, and post ATP period for 60 s. Local application of ATP was delivered by pressure pulses through a micropipette (Picospritzer II, Parker Hannifin, Mayfield Heights, OH, USA) in the presence of tetrodotoxin (TTX, 1 μM). Matlab software (MATLAB R2016; Mathworks Natick) custom-written plugin was used for computation of fluorescence values of each region of interest (ROI).

Ca²⁺imaging in astrocytes in vitro in immortalized astrocytes

Intracellular Ca²⁺ measurement was performed using 2 μM of fura-2/AM, a ratiometric fluorescence indicator whose fluorescence ratio (R_340/380) is proportional to Ca²⁺ concentration. Imaging of Ca²⁺ signaling in organelles was performed using genetically encoded Ca²⁺ indicators (GECI). The plasmids for endoplasmic reticulum (pCMV G-CEPIA1er) and mitochondrial (pCMV CEPIA3mt) were a gift from Masamitsu Iono [49]. Fluorescence was recorded using a TE-2000 U Nikon epifluorescence microscope keeping the cells at 37 °C. Cells were excited with a monochomator (Cairns, UK) and the emitted fluorescence was collected every 2 s by the high sensitivity CCD EG-ORCA camera (Hamamatsu Photonics, Japan) using a 40x oil objective (Nikon, Japan). The resulting images were analyzed through MetaFluor Software (Universal Imaging, Bedford Hills, NY, USA). For experiments using fura-2/AM, the ratio between fluorescence after excitation at 340 and 380 nm was calculated, whereas for experiments using GECI the fluorescence of the CEPIA indicators at a given time point was normalized to the initial fluorescence (F/F₀). Ratiometric fluorescence values were obtained using the MetaFluor software and selecting individual cells (ROI). Two to four coverslips with 15 to 25 cells per coverslip were analyzed for each condition. Data values were further analyzed with GraphPad Prism 6.

Plasmid transfection and siRNA silencing

Cells were transfected with plasmids using Lipofectamine 2000 (Thermo Fisher Scientific) while transfection with siRNA to achieve silencing was accomplished with Lipofectamine RNAiMAX (Thermo Fisher Scientific). Briefly, lipofectamine and DNA or siRNA were added to medium without FBS and antibiotics. This solution was kept at room temperature for 20 min and administered to the cells. After 5 h, the medium was replaced by growth medium. The quantities of lipofectamine and DNA or siRNA were: 9 μL of lipofectamine and 2.5 μg/mL GECI plasmids; 12 μL of lipofectamine and 4.5 μg/mL of APOE plasmids (described in [50]), and 4.5 μL of lipofectamine and 1 μg/mL of APOE siRNA (s194291, Thermo Fisher Scientific) or negative control 1 μg/mL siRNA (Thermo Fisher Scientific).

Lysosomal pH measurement

Lysosomal pH was measured using the ratiometric dye LysoSensor Yellow/Blue DND-160 (Thermo Fisher Scientific) as described [51] with minor modifications. Briefly, cells were incubated with 2 μM of LysoSensor Yellow/Blue in an isotonic solution with addition of 10% FBS. Next, cells were incubated with either additional isotonic solution for pH measurement, or with pH calibration buffers with the corresponding FBS content to perform a standard curve for each condition. 15 μM of monensin and 30 μM of nigericin were added to the pH-calibration solutions to force lysosomal pH to equilibrate with a range of pH values (solutions at 4.0, 4.5, 5.0, 5.5 and 6.0 pH). Fluorescence was measured with a GENios Pro Fluorometer, and recorded using the XFluor4GENiosPro software package (TECAN). Lysosomal pH was determined from the ratio of excitation light at 340 nm and 390 nm (collection emission at 535 nm) after extrapolation with the standard curve.

Immunocytochemistry

Cells were fixed with 4% paraformaldehyde for 15 min and permeabilized by adding 0.1% of Triton buffer. Then, 5% of normal goat serum (NGS) was used to block the unspecific unions. Primary antibodies (mouse monoclonal anti-ApoE (sc53570, Santa Cruz Biotechnology, dilution 1:400) and rat monoclonal anti-Lamp1 (1D4B, Hybridoma Bank, dilution 1:200) were incubated overnight, followed by one-hour incubation with the secondary antibody Cy3-donkey anti-rat IgG (712–165-150, Jackson Immunoresearch, dilution 1:200) and Alexa fluor 488 goat anti-mouse IgG (A11029, Thermo Fisher Scientific, dilution 1:1000). Coverslips were mounted on a slide with Fluoromount G. Images were acquired with confocal laser scanning microscopy ZEISS LSM 700. Analysis of lysosome localization was carried out using the ImarisCell tool of IMARIS software (Bitplane), which permits manual selection of the nucleus and the membrane of each cell and computes the distance (μm) from each Lamp1-positive vesicle to the nucleus center. Lamp1-positive vesicles larger than 0.5 μm were considered. The frequency distribution of vesicles from the nucleus center to the cellular membrane was represented.

Cholesterol staining

Filipin III (Sigma-Aldrich) was used to stain cholesterol. Cells were fixed with 4% paraformaldehyde for 15 min and incubated with 25 μg/mL Filipin for 30 min at room temperature in the dark. Images were acquired with a CCD ORCA-EG monochromatic camera (Hamamatsu) and the Eclipse TE-2000E (Nikon) epifluorescence microscope, using a 20x objective.

Lysosomal isolation

Lysosomes from astrocytes were isolated as described [52]. Briefly, collected cells were washed in sucrose 0.25 M (pH 7.2) and disrupted in a nitrogen cavitation chamber (Kontes Glass Company), followed by homogenization in a Teflon-glass homogenizer and centrifuging (2500 xg for 15 min). The mitochondria-lysosomal-enriched faction was collected after 17,000 xg centrifugation. The lysosomal-mitochondrial-enriched fraction was then loaded in two subsequent discontinuous metrizamide/sucrose/percoll density gradients from which lysosomal pure fractions were isolated [52]. Lysosomes were broken by 5 consecutive freeze/thaw cycles and after centrifugation at 100.000 xg 30 min, lysosomal membrane and intralysosomal content were collected separately. The former pool was used for lipidomic analysis.

Lipidomics

The extraction of metabolites for the untargeted lipidomic assay was carried out by adding 200 μL CHCl₃:MeOH in a proportion of 1 to 2 with 0.1% formic acid to promote the ionization of molecules. Then, samples were vortexed, centrifuged at 4000 rpm, and analyzed with mass spectrometry using the QSTAR XL hybrid system (Applied Biosystems, Foster City, CA, USA). The sample was injected at a flux of 15 μL/min through the infusion integrated pump. Spectra were acquired during positive ionization in a range of m/z from 50 to 1100 uma. The ionization parameters were: 3300 V of voltage ion spray, 60 V of decluttering potential, and 250 V of focusing potential. Nitrogen was used as a collision gas for the spectra acquisition. Markerview™ and SIMCA-P™ software were used to reduce the results into a two-dimensional matrix of peak spectra and intensity of peaks, and for the statistical analysis. Inter-genotype comparisons were carried out with the multivariate analysis Partial Least Squares-discriminant analysis (PLS-DA). Next, the Variable Importance in Projection (VIP) was used to establish which metabolites had more impact in the segregation of samples according to APOE3 and APOE4 genotypes. ANOVA with a Tukey correction post-test was applied to the group of metabolites with a VIP > 1 to assess, again, inter-genotype differences with the identified metabolites. We then proceeded to identify metabolites with VIP > 1 comparing their accurate masses with those available in metabolomics databases (HMDB, METLIN, KEGG and LIPIDMAPS) [53]. Finally, fold changes of identified metabolites in APOE4 vs APOE3 astrocytes were calculated and a multi-t statistical test with corrected probability (False Discovery Rate –FDR- 5%) was applied.

Western blot

Cells for protein extraction were lysed with RIPA buffer and extracts were sonicated and centrifuged. Protein extracts were quantified with BCA kit (23,225, Thermo Fisher Scientific) according to the manufacturer’s protocol. 20 μg protein of samples was loaded in 12% polyacrylamide gels electrophoresis (PAGE). Electrophoresis was conducted at a constant amperage (30 mA) for approximately 2 h followed by the protein transference to a PVDF membrane at constant voltage (100 mV) for 1.5 h. 5% non-fat milk was used to block unspecific unions, and the primary antibodies mouse monoclonal anti-V-ATPase subunit V₀D₁ (ab56441, Abcam, used at 2.5 μg/mL) and monoclonal anti β-actin (a5316, SigmaAldrich, used at 1/20000), were incubated overnight. The next day, the secondary antibody was incubated for 1 h (goat anti-mouse IgG: 31430, Thermo Fisher Scientific, used at 1/10000). Finally, the membrane was developed using the chemiluminescence kit of BioRad according to the manufacturer’s protocol, and membrane chemiluminescence was detected with a Chemidoc MP Image System (BioRad). Image lab software (BioRad) was used for the quantification of bands.

Measurement of mRNA expression

Cells were collected adding Trizol Reagent. Then, 0.2 mL chloroform was added to the extracts, and these were centrifuged at 11,500 rpm for 15 min at 4 °C allowing the formation of three phases. The RNA-containing phase (superior phase) was isolated by pipetting carefully, and 0.2 mL of isopropanol was added to precipitate of RNA, which was then washed with cold ethanol 75%. RNA-sample concentration was determined with a Nanodrop 200 spectrophotometer (Thermo Fisher Scientific). 2 μg of RNA was reverse transcripted to cDNA using 1 μM of oligo DT, 1 μM of hexamers, 0.5 mM dNTPs, 0.45 mM DTT, 10 U RNAse out, RT buffer, and 200 U of retrotranscriptase. The PCR program was divided into four steps: 65 °C for 10 min, 25 °C for 10 min, 42 °C for 1 h, and 72 °C for 10 min.

Gene expression was carried out with quantitative real-time PCR (qPCR) using Taqman and SYBR green technology. Fluorescence was detected with the 7500 Fast Real-Time PCR System. qPCR cycles were the following: a holding stage of 50 °C (2 min), 10 min at 95 °C and 40 cycles of 95 °C (15 s), and 60 °C (1 min). A similar protocol was used for SYBR assay but with an extra stage for the melting curve (15 s at 95 °C, 1 min at 60 °C, 30 s at 95 °C, and 15 s at 60 °C). Data analysis was performed using Cq value, and the average of the gene efficiency provided by LinReg PCR software, following the formula 1 + eficience^ΛCq of each gene analyzed. Expression data were normalized with housekeeping genes (Gapdh and/or18s), using their geometric mean calculated according to the geNorm algorithm [54]. TaqMan primers of APOE (Hs00171168_m1), Trpml (Mm00522550_m1), Gapdh (Mm9999915_g1), and 18S (Mm03928990) were purchased from Thermo Fisher Scientific. Primers for SYBR green were designed according to the sequence of the gene: Tpc1 (5′-CTGGGAGAGATGAATTATCAAGAG-3′; 5′-GTTGTGTACGAAGAGGTAGG-3′), Tpc2 (5’GCTGAGCCTTGCTTGTGAGG-3′; 5′-ACACTTCAGGGTCTTCTTCATCA-3′), and Gapdh (5′-AAGCTCATTTCCTGGTATGAC-3′; 5′-TGGTCCAGGGT TTCTTACTC-3′).

Statistical analysis

Each determination was carried out with cells from at least three different passages. A parametric unpaired T-test was used for the comparison of a given variable in two different conditions or cell types, whereas one-way or two-way analysis of variance (ANOVA), with a Tukey’s or Dunn’s post hoc test, was used when comparing more than two conditions. The software employed was GraphPad Prism 6, and data are represented as mean ± SEM (standard error of the mean). A p-value < 0.05 was considered significant (p-value < 0.05 (*), p-value < 0.01 (**), p-value < 0.001 (***) and p-value < 0.0001(****).

Results

APOE4 expression alters astrocytic excitability

To determine whether expression of the allele APOE4 alters astrocyte excitability, we recorded Ca²⁺ in hippocampal slices of 9–12-week-old male and female mice in which the endogenous mouse APOE gene had been replaced with human APOE3 or APOE4 genes. Recordings were made in ACSF medium supplemented with 10% FBS, in order to keep lipoprotein and lipid concentration as close as possible to physiological conditions. Slices were incubated with the Ca²⁺ indicator fluo-4/AM and the astrocytic marker sulforhodamine (SR101) (Fig. 1a, see Materials and methods). We analyzed Ca²⁺ spontaneous activity—that is, Ca²⁺ events at rest conditions—and neurotransmitter-induced Ca²⁺ responses in cells co-labeled with Fluo-4/AM and SR101. To study spontaneous activity, we recorded APOE3 and APOE4 astrocytes for 120 s. For receptor-mediated Ca²⁺ responses, we recorded basal peak activity for 30 s, and then we stimulated slices with 1 mM ATP. We selected purinergic stimulation because it elicits Ca²⁺ signals both in astrocytes in vivo and in vitro, triggering several physiological functions [34, 55], and because responses elicited by stimulation of purinergic receptors are the cause of Ca²⁺ hyperactivity in AD mouse models [56].

In male mice, we detected increased amplitude of spontaneous Ca²⁺ transients in APOE4 vs APOE3 astrocytes (Fig. 1b). Regarding induced activities, purinergic stimulation caused in both genotypes the increase in magnitude and frequency of Ca²⁺ transients typically seen in astrocytes. The amplitude of Ca²⁺ responses was greater in APOE4 cells than in APOE3 cells (Fig. 1c and d). Further, the magnitude of Ca²⁺ responses decreased after removal of ATP (post ATP phase) to basal levels in APOE3 astrocytes, but remained significantly increased over its own basal levels, and with respect to APOE3 cells, in APOE4 cells (Fig. 1c and d). The frequency of Ca²⁺ responses was similar in both genotypes, in both the ATP and post-ATP phases. It is worth stressing that the amplitude of spontaneous Ca²⁺ transients was also statistically increased in APOE4 compared to APOE3 cells in these set of experiments, confirming the results of the 120-s recordings (Fig. 1c and d).

Female mice differed from males in two respects. First, the amplitude of spontaneous and ATP-induced events was significantly increased (p < 0.001), by at least 2-fold, in astrocytes from APOE3 females as compared to APOE3 males (compare Fig. 1b with 2a and 1d with 2c). Second, no differences were observed between APOE3 and APOE4 astrocytes in females in the magnitude of spontaneous and induced events (Fig. 2a-c). This may suggest that Ca²⁺ responses in astrocytes from APOE3 females represented the maximal Ca²⁺ response that could not increase further. Altogether, the ex vivo observations suggest that expression of human APOE alleles modulates Ca²⁺ transients in astrocytes in a sex-specific manner, such that expression of the APOE3 allele in male mice results in globally decreased Ca²⁺ transients in astrocytes—or expression of APOE3 in females in a global increase—as compared to the APOE4 allele.

Immortalized APOE4 astrocytes show increased Ca²⁺ mobilization from acidic stores

To gain insight into the mechanism by which expression of different APOE alleles regulates Ca²⁺ transients in astrocytes, we used immortalized astrocytes that express human APOE3 or APOE4 [44] since this in vitro model allows for experimental manipulations that are not feasible in brain slices. As with slices, cells were supplemented with 10% FBS, in order to keep lipoprotein and lipid concentration as close as possible to physiological conditions. It is worth stressing that immortalized astrocytes are aneuploid so the sexual identity is lost. Thus, a key question was whether their Ca²⁺ phenotype is male- or female-like. Our data show that they reproduce a male-like Ca²⁺ signaling phenotype in the presence of lipids. First, differences in Ca²⁺ responses at rest showed the same trend observed in male mice. APOE4 astrocytes had significantly different Ca²⁺ basal levels than APOE3 astrocytes (p-value = 0.01), the fluorescence ratio being 0.28 ± 0.01 and 0.41 ± 0.03, respectively (Fig. 3a-c). Note that cultured astrocytes do not show at rest the so-called spontaneous Ca²⁺ oscillations observed ex vivo, but stable basal Ca²⁺ levels that we could compare thanks to the ratiometric fura-2/AM Ca²⁺ indicator. Second, 100 μM ATP stimulation resulted in greater Ca²⁺ responses in APOE4 than in APOE3 astrocytes (Fig. 3a). Purinergic-induced Ca²⁺ responses also lasted longer: the response was 64.9 ± 8.2% of the maximum peak signal after 20 s in APOE4 cells but only 27.7 ± 1.5% in APOE3 astrocytes. Moreover, altered Ca²⁺ signaling was not restricted to purinergic stimulation, as adrenergic and muscarinic-receptor activation also triggered greater cytosolic Ca²⁺ responses in APOE4 than in APOE3 astrocytes (Fig. 3b and c). Importantly, the magnitude of purinergic-induced Ca²⁺ responses was the same with two other FBS batches (peak responses after stimulation with 100 μM ATP were 0.36 ± 0.13 in APOE3 and 0.94 ± 0.01 in APOE4; and 0.37 ± 0.04 in APOE3 and 0.91 ± 0.05 in APOE4 astrocytes). Taken together, the data support immortalized APOE3 and APOE4 astrocytes as a model to study the mechanisms underlying the regulation of Ca²⁺ responses by APOE alleles in males.

Next, in order to identify which pathways are dysregulated in APOE4 astrocytes, we examined Ca²⁺ fluxes among the principal intracellular Ca²⁺ sources with organelle-specific probes and pharmacological manipulations. First, we investigated the mitochondrial Ca²⁺ uptake that characteristically buffers increases in cytosolic Ca²⁺. Since APOE4 has been described as harming mitochondria in neurons [57], we reasoned that harmed mitochondria in APOE4 astrocytes could result in deficient Ca²⁺ uptake, and hence in increased intracellular Ca²⁺ responses. However, expression of the mitochondrial Ca²⁺ indicator CEPIA3mt (Fig. 3d) showed higher Ca²⁺ uptake in APOE4 mitochondria compared to APOE3 astrocytes, consistent with the higher ATP-induced Ca²⁺ responses in the cytosol (Fig. 3e). Second, we studied the main Ca²⁺ signaling pathway in astrocytes, Ca²⁺ mobilization from the ER through the IP3 receptor, by transfecting cells with G-CEPIA1er (Fig. 3d), and directly measuring Ca²⁺ contents inside this organelle. As expected, 100 μM ATP decreased Ca²⁺ levels in the ER of both APOE3 and APOE4 astrocytes, indicative of Ca²⁺ being released to the cytosol. Since the process is, although significantly, just slightly reinforced in APOE4 astrocytes (Fig. 3f), the greater cytosolic Ca²⁺ responses in these cells could not rely exclusively on increased Ca²⁺ mobilization from the ER. Third, we explored Ca²⁺ mobilization from acidic stores, which are mainly lysosomes and related organelles [58] that we have shown to be involved in purinergic-induced Ca²⁺ responses in astrocytes [37]. Figure 4a shows the main Ca²⁺ fluxes in lysosomes. We recorded cytosolic Ca²⁺ with fura-2/AM, after inhibiting Ca²⁺ release from acidic stores with 100 μM of Ned-19, an inhibitor of NAADP receptors responsible for Ca²⁺ release from these organelles [59]. Control cells were treated with DMSO, the vehicle of Ned-19. As expected, Ned-19 reduced ATP-induced Ca²⁺ responses in APOE3 cells (Fig. 4b), confirming the contribution of lysosomal Ca²⁺ to cytosolic transients [37]. Interestingly, Ned-19 greatly reduced Ca²⁺ responses in APOE4 astrocytes, such that purinergic-mediated Ca²⁺ responses in the presence of Ned-19 were of similar magnitude in both cell types. Hence, Ca²⁺ release from acidic-stores appears to be responsible for the greater purinergic-elicited Ca²⁺ responses in APOE4 astrocytes. Altogether, our results thus far lend support to the idea that lysosomal-related Ca²⁺ release is the main Ca²⁺ signaling pathway dysregulated in APOE4 astrocytes.

Dysregulation of V-ATPase activity contributes to the alteration of Ca²⁺ responses in APOE4 astrocytes

Ca²⁺ is released from acidic stores upon stimulation of NAADP receptors, which are Ca²⁺ channels, the most accepted candidates being two-pore channels 1 and 2 (Tpc1, Tpc2), and transient receptor potential mucolipin (Trpml) [59]. By contrast, Ca²⁺ uptake by acidic stores is accomplished through an indirect mechanism whereby V-ATPase pumps H⁺ into the vesicles, and then H⁺ are exchanged with Ca²⁺ through the Ca²⁺/H⁺ exchanger (CAX) [60] (Fig. 4a). Thus, greater Ca²⁺ release from acidic stores in APOE4 astrocytes might be due to two phenomena: greater expression or activation of NAADP receptors, or greater Ca²⁺ stored in these organelles, due to increased activity of V-ATPase and/or CAX. First, we analyzed the expression of NAADP receptors in astrocytes with real time qPCR. Expression of Trpml and Tpc1 channels is the same in APOE3 and APOE4 cells, while expression of Tpc2 channel is lower in APOE4 cells (Fig. 4c), perhaps as a result of a negative feedback mechanism in response to the high Ca²⁺ signals in APOE4 astrocytes. In any event, the increased release of Ca²⁺ from APOE4 lysosomes cannot be attributed to increased expression of NAADP receptors.

Second, we analyzed Ca²⁺ contents inside acidic stores with a protocol in which they were osmotically lysed due to the accumulation of the peptide Glycyl-L-phenylalanine 2-naphthylamide (GPN), followed by its proteolysis by cathepsin C, such that the stored lysosomal Ca²⁺ is released into the cytoplasm. Then, the area under the curve (AUC) of the cytosolic Ca²⁺ increase after addition of GPN to the astrocytes was used to calculate the total amount of stored calcium in these organelles. The results showed greater AUC in APOE4 cells (Fig. 4d), supporting a higher concentration of lysosomal-related Ca²⁺ in APOE4 cells, as compared to APOE3. Since there are no pharmacological modulators of CAX, we relied on a pharmacological inhibitor of V-ATPase, bafilomycin A1, and on measurements of pH in acidic organelles, to establish the implication of the pump and CAX in the increased luminal Ca²⁺. Bafilomycin A1 increased basal cytoplasmic Ca²⁺ concentration in APOE4 astrocytes to 0.40 ± 0.05 (control values of astrocytes treated with vehicle were 0.30 ± 0.01; p-value = 0.05), whereas there was no effect on non-stimulated intracellular Ca²⁺ levels in APOE3 (0.44 ± 0.08 for cells treated with bafilomycin A1 compared to 0.39 ± 0.02 of cells treated with vehicle). This suggests that the aforementioned lower basal cytoplasmic Ca²⁺ concentration in APOE4 cells is due to greater V-ATPase-mediated Ca²⁺ uptake into acidic stores, consistent with the greater intralysosomal Ca²⁺ levels revealed by the GPN experiments. Accordingly, bafilomycin A1 reduced the ATP-induced Ca²⁺ release in APOE4 astrocytes, confirming the dependence of these Ca²⁺ responses on acidic stores (Fig. 4e). In contrast, bafilomycin A1 did not change purinergic-induced Ca²⁺ responses in APOE3 astrocytes. Thus, both basal levels and ATP responses in the presence of bafilomycin A1 might indicate the existence of low V-ATPase activity in APOE3 astrocytes. Indeed, the expression of V-ATPase subunit V₀D₁, which is highly expressed in astrocytes [61], was higher in APOE4 cells than in APOE3 cells (Fig. 4f). Because V-ATPase controls the flow of H⁺ into acidic stores, we analyzed the pH of acidic stores with the probe lysosensor and fluorometry. We found that both APOE3 and APOE4 astrocytes had standard lysosomal-related pH, with a minimal but significant difference of 0.14 pH units between genotypes, APOE4 lysosomes being more alkaline (Fig. 4g). If the pH does not decrease despite increased activity of the V-ATPase pump, it follows that CAX activity must be increased in APOE4 astrocytes, too, such that the increased number of H⁺ entering the acidic stores exit through CAX in exchange for Ca²⁺. As a result, lysosomal Ca²⁺ concentration and hence basal Ca²⁺ and purinergic-induced Ca²⁺ release from lysosomes, are greater in APOE4 than in APOE3 astrocytes. Note that we did not determine nor manipulate CAX expression in APOE3 and APOE4 cells because the sequence of mouse CAX is unknown.

APOE3 expression in APOE4 astrocytes reduces cytosolic Ca²⁺ responses

Is the effect of APOE4 due to: (1) loss-of-function due to decreased contents [62], (2) malfunction, (3) gain-of-toxic function because of its structure, or (4) misplaced intracellular localization? We first examined ApoE levels in immortalized APOE3 and APOE4 astrocytes by quantifying mRNA levels with qPCR. As shown in Fig. 5a, APOE expression is lower in APOE4 than in APOE3 astrocytes. Therefore, it is plausible that lower expression of APOE4 accounts for Ca²⁺ signaling alterations. To test this possibility, we modulated the quantity of APOE3 and APOE4 with the rationale that, if APOE expression matters, decreasing ApoE in APOE3 cells would increase Ca²⁺ responses, whereas increasing ApoE in APOE4 cells would decrease Ca²⁺ responses. Upon decreasing APOE expression in APOE3 astrocytes with an APOE siRNA (Fig. 5b), ATP-induced Ca²⁺ responses were still lower, as compared to APOE4 astrocytes, with no differences observed between scramble- and siRNA-transfected APOE3 cells (Fig. 5c). We also tried the opposite strategy: we increased APOE expression using GFP-APOE3 or GFP-APOE4 plasmids, which overexpress a GFP-ApoE fusion protein, which then allows one to identify cells with increased APOE expression (Fig. 5d). The GFP signal did not interfere with fura-2/AM (data not shown). Because transfection efficiencies were different among experiments (5 to 50% of GFP transfected cells), we avoided inter-experimental variability by normalizing peak Ca²⁺ responses to levels recorded in APOE3 astrocytes transfected with a GFP-expressing plasmid without APOE constructs. The over-expression of GFP-APOE3, but not of GFP-APOE4, transformed APOE4 into APOE3 astrocytes, in a statistically significant manner (Fig. 5e), suggesting that Ca²⁺ hyperactivity in APOE4 astrocytes is mainly due to the expression of this particular isoform, but not to lower APOE expression. The data do not support, however, a gain of a toxic function by APOE4, because, if this were the case, APOE4-associated dysfunction would have been potentiated by GFP-APOE4 over-expression, and would not have been rescued by GFP-APOE3, since the toxic element, APOE4, remained. In agreement, there were no differences between ATP-induced Ca²⁺ signals in APOE3 cells transfected with GFP-APOE4 or with GFP (Fig. 5f), again ruling out a toxic effect of APOE4. Taken together, our data support APOE4 malfunction rather than toxicity.

Finally, because acidic stores accounted for the differences in Ca²⁺ responses between genotypes, we studied whether ApoE was localized in the acidic stores. Because the quality of staining of such organelles with the fluorophore lysotracker was not optimal for confocal studies (data not shown), we resorted to using Lamp1, a marker for lysosomes, autophagosomes, and different vesicles of the endolysosomal pathway, including late-endosomes [63]. In APOE3 astrocytes, we used ApoE and Lamp-1 immunostaining (Fig. 5g). In APOE4 astrocytes, we relied on APOE4 overexpression with GFP-APOE4, since the low amounts of APOE expression in APOE4 cells precluded immunocytochemical analysis (Fig. 5h). We observed that neither ApoE3 nor ApoE4 from GFP-APOE4 colocalized with Lamp-1. These observations rule out the likelihood that the alterations in lysosomal-related Ca²⁺ handling in APOE4 astrocytes are due to loss of a direct interaction of ApoE with channels mediating Ca²⁺ fluxes, suggesting, instead, indirect actions of the apolipoprotein, perhaps through changes in lipid homeostasis.

ATP-induced Ca²⁺ responses are modulated by extracellular lipids in APOE3 but not APOE4 astrocytes

Considering the wealth of evidence documenting how channels and pumps involved in Ca²⁺ signaling are regulated by lipids, particularly by membrane lipids [64, 65], we posited that lipids regulate Ca²⁺ fluxes in astrocytes, too, and that aberrant lipid homeostasis accounts for the observed dysregulation of Ca²⁺ fluxes in APOE4 astrocytes, particularly in lysosome-related organelles. Lipid modulation of Ca²⁺ transients in astrocytes is uncharted territory. Thus, to gain insight into the control of astrocyte excitability by lipids in the context of APOE4, we carried out two sets of experiments. First, we aimed to obtain proof-of-concept that lipids regulate Ca²⁺ transients in astrocytes, by examining the effect of changing lipid contents on the excitability of immortalized APOE3 and APOE4 astrocytes. Second, we analyzed cholesterol subcellular distribution, and we performed a lipidomic analysis of lysosomal and whole-membrane to identify candidates for excitability-modulating lipids, and changes thereof in the two genotypes.

Thus far, all our Ca²⁺ imaging experiments had been performed in medium supplemented with FBS, rich in nutrients, including lipoproteins. Here, we replaced this medium with three different media with lower lipid composition 2–5 min prior to Ca²⁺ imaging: 1) Krebs medium (KH), 2) DMEM supplemented with lipoproteins-deficient FBS and 3) DMEM with B27, a supplement without lipoproteins and restricted composition of lipids: linoleic acid, linolenic acid, progesterone, and corticosteroids. In the absence of lipids, non-stimulated basal Ca²⁺ levels were significantly lower in immortalized APOE4 vs APOE3 astrocytes, as detected in the presence of lipids. Thus, in KH, basal levels were 0.29 ± 0.02 in APOE3 vs 0.23 ± 0.03 in APOE4 (p-value = 0.04); in DMEM supplemented with lipoprotein-deficient FBS, 0.39 ± 0.07 in APOE3 vs 0.29 ± 0.06 in APOE4 (p-value = 0.04); and in DMEM with B27, 0.30 ± 0.02 in APOE3 vs 0.22 ± 0.01 in APOE4 (p-value = 0.007). By contrast, in all three conditions, stimulation of purinergic responses elicited Ca²⁺ responses of similar magnitude in APOE3 and APOE4 astrocytes (Fig. 6a-c, f). It was not the case that responses in APOE4 cells had diminished, but, rather, that responses had increased in APOE3 cells. That is, APOE4 astrocytes present the same magnitude of ATP-induced Ca²⁺ signals regardless of the lipids presents, whereas APOE3 astrocytes adapt their Ca²⁺ responses to the concentration of extracellular lipids, with responses being low in media rich in lipids (presence of FBS) and high in the presence of low lipid concentration, or no lipids. Consistent with the greater ATP-triggered Ca²⁺ responses, the responses also lasted longer in APOE3 astrocytes in the absence of lipids: the response was 36.0 ± 4.0% of the maximum peak signal after 20 s in KH, 51.6 ± 4.3% in DMEM supplemented with lipoproteins-deficient FBS and 34.6 ± 3.0% in DMEM with B27, as compared to the previously reported 27.7 ± 1.5% in DMEM with FBS (p < 0.05). Thus, the results point to a potentiation of long-lasting amplification Ca²⁺ pathways, perhaps by Ca²⁺-induced Ca²⁺ release from the ER or store-operated Ca²⁺ entry (SOCE)—that is, Ca²⁺ influx across the plasma membrane in response to depletion of intracellular Ca²⁺ stores. Still, ATP responses were significantly shorter (p-value < 0.01) in lipid-depleted APOE3 astrocytes as compared to APOE4 astrocytes (72.57 ± 3%, 68.4 ± 6.2% and 81.2 ± 6.8% for APOE4 cells kept in KH, DMEM with lipoprotein-deficient FBS and DMEM with B27), indicating that some differences in Ca²⁺ fluxes remain between APOE3 and APOE4 astrocytes.

It is worth stressing that the increased ATP-induced Ca²⁺ response in APOE3 astrocytes is a fast-onset process, as it was observed just a few min after lipoprotein removal. It is not transient, because it persisted 12 h after replacement of DMEM supplemented with FBS for DMEM supplemented with B27 (Fig. 6d and f), and it is reversible, because it diminishes if the medium is replaced again by DMEM supplemented with FBS 5 min prior to Ca²⁺ recordings (Fig. 6e and f).

Altogether, three conclusions may be drawn from these results: they constitute the first demonstration that astrocyte excitability is modulated by lipids and/or lipoproteins, such regulation is reversible but stable in APOE3 astrocytes as long as lipids remain present, and is lost in APOE4 astrocytes.

The absence of lipids potentiates Ca²⁺ release from the ER and extracellular Ca²⁺ entry in APOE3 but not APOE4 astrocytes

Since the core of Ca²⁺-signaling dysregulation in APOE4 astrocytes lies in acidic organelles, is Ca²⁺ homeostasis in these organelles the target of extracellular lipids in APOE3 astrocytes? The finding that the increase in ATP-induced Ca²⁺ signals in APOE3 cells in the absence of lipids/lipoproteins (KH media) was abrogated by Ned-19, the inhibitor of Ca²⁺ release from acidic stores (Fig. 7a) might indicate that extracellular lipids decrease Ca²⁺ levels inside such organelles. Surprisingly, measurement of Ca²⁺ stored inside acidic organelles using the GPN-elicited depletion showed no increased Ca²⁺ loading in APOE3 cells kept in KH (Fig. 7b) compared to APOE3 astrocytes kept in the presence of FBS, whereas, as expected, no difference was observed between the two conditions in APOE4 astrocytes (Fig. 7c). An explanation is that, in the absence of extracellular lipids, the release of Ca²⁺ from lysosomes in APOE3 astrocytes is amplified by the activation of other Ca²⁺ signaling mechanisms. In fact, the amplification originates in part, from Ca²⁺ released from the ER, because the Ca²⁺ content in the ER was 1.5-fold greater in APOE3 cells kept in KH than in DMEM/FBS, as recorded with the Ca²⁺ probe CEPIA1er (Fig. 7d). The same amount of Ca²⁺ was released from the ER in APOE4 astrocytes kept in the two media, in agreement with the observation that Ca²⁺ signals are independent of extracellular lipid concentrations in this genotype (Fig. 7d). Another source of Ca²⁺ is the extracellular Ca²⁺ entry, because the blockage of extracellular Ca²⁺ with the cell-impermeable Ca²⁺ chelator EGTA greatly reduced (by 3.3 times) ATP-induced Ca²⁺ responses in APOE3 astrocytes kept in KH without lipoproteins, but not in APOE3 astrocytes kept in KH with FBS (Fig. 7e). In contrast, EGTA reduced ATP-induced Ca²⁺ responses in APOE4 astrocytes to the same extent in the presence or absence of FBS (Fig. 7f). Thus, the data support the idea that extracellular Ca²⁺ entry is secondary to lysosomal Ca²⁺ release, and that it is modulated by extracellular lipids in APOE3 but not in APOE4 astrocytes. We next sought morphological support for this idea by studying the localization of acidic stores inside astrocytes. Again, we resorted to Lamp1 immunostaining to be able to use confocal microscopy. Lysosome distribution was abnormal in APOE4 cells (Fig. 7g); that is, a greater number of Lamp1-positive organelles accumulated near the nucleus in APOE4 astrocytes than in APOE3 astrocytes. Specifically, 37% of lysosomes are placed at 10 μm from the center of the nucleus in APOE4 cells, as compared to 21% in APOE3 astrocytes. Plausibly, the altered localization may result in changes in the coupling of such organelles with plasma-membrane channels.

In summary, in APOE3 astrocytes, activation of extracellular Ca²⁺ entry secondary to intracellular Ca²⁺ mobilization underlies the greater Ca²⁺ responses induced by purinergic receptors in the absence of extracellular lipoproteins. This coordination of signaling pathways does not take place in the presence of lipoproteins, suggesting, again, that lipids have the capacity to change intracellular Ca²⁺ fluxes in APOE3 astrocytes. By contrast, APOE4 astrocytes present a higher content of lysosomal Ca²⁺, but appear to have lost the capacity to have Ca²⁺ fluxes regulated by lipids.

Lipidomics reveals distinct lipid composition in lysosomal and whole-cell membranes from APOE3 and APOE4 astrocytes

We posited that lysosomal dysregulation and the refractoriness to lipid-based modulation in APOE4 astrocytes might be caused by altered lipid trafficking and homeostasis due to APOE4 malfunction—as concluded in a previous section. Since ApoE is a major cholesterol carrier in the brain, we studied cellular cholesterol distribution with filipin staining. We found aberrant intracellular distribution of cholesterol in APOE4 astrocytes, which presented more cholesterol in intracellular clumps, and less in plasma membrane, than APOE3 cells (Fig. 8a). This finding points to impaired cholesterol efflux in APOE4 cells. We also carried untargeted lipidomics because we reasoned that impaired lipid trafficking would leave its mark on astrocyte membranes, such that the profiling of membrane lipids would provide information about lipid dyshomeostasis in APOE4 astrocytes. To determine whether APOE4-mediated changes were specific to lysosomes, we performed lipidomics in lysosomal and whole-membranes of APOE3 and APOE4 immortalized astrocytes, since, according to a lipid map of the mammalian cell, organelles present distinct lipid compositions [66]. The multivariate analysis PLS-DA revealed that the lipids of lysosomal membranes (Fig. 8b) and whole-membranes (Fig. 8c) clustered independently in APOE3 and APOE4 genotypes. The predictive accuracy of the analysis was robust, as the Q² and R₂Y scores were 0.616 and 0.986 for lysosome lipidome, and 0.841 and 0.995 for whole-membranes. The PLS-DA analysis thus confirms that APOE genotype influences membrane lipid composition in astrocytes.

In order to identify which lipids contributed more to the differential group clustering, we used the Variable Importance in the Projection (VIP), such that lipids with VIP > 1 were the ones with greater weight on the group change. In lysosomal membranes, there were 35 lipids with VIP > 1 in the APOE4 vs APOE3. ANOVA analysis with a Tukey correction post-test of the intensity (peak values) of these 35 metabolites revealed significant differences due to the APOE phenotype with a p-value < 0.05, confirming, again, that expression of APOE4 alters the lipidome of lysosomes. We then proceeded to identification of the particular metabolites and calculation of their fold change (FC) in APOE4 vs APOE3 astrocytes. We could identify 19 lipids: 10 phosphatidylcholines (6 increased, 4 decreased), 5 phosphatidylethanolamine (2 increased, 3 decreased), 2 lysophosphatidylcholine (2 decreased), 1 lysophosphatidylethanolamine (decreased), and 1 carnitine (increased) (Fig. 8d). However, multi t-test analysis corrected by a false discovery rate (FDR) of these 19 FC values gave no statistically significant differences (q-value < 0.05). This suggests that joint changes in the contents of lipids with VIP > 1 rather than particular lipids account for the segregation of lipidomes from APOE3 and APOE4 lysosomes.

In whole-membranes, 41 metabolites had a VIP > 1, comparing APOE4 vs APOE3 astrocytes. ANOVA analysis with a Tukey correction post-test of the intensities of these 41 metabolites confirmed significant differences due to the APOE phenotype with a p-value < 0.01, in agreement with the previous PLS-DA analysis. Twety-one lipids were identified according to their m/z, and their FC in APOE4 vs APOE3 calculated (Fig. 8e). A multi T-test statistical analysis corrected with FDR, showed that 11 of these metabolites were significantly different (q-value < 0.05): 3 lysophosphatidylcholine (1 increased, 2 decreased), 5 phosphatidylcholines (3 increased, 2 decreased), 1 phosphatidylserine (decreased) and 2 carnitines (increased). In short, a general trend is that carnitines and phosphatidylcholines are more abundant in APOE4 astrocytes, whereas APOE3 cells are richer in lysophospholipids.

Overall, this is the first demonstration that the expression of APOE4 changes the lysosomal and cellular lipidomes in astrocytes, supporting a link between altered Ca²⁺ fluxes and lipid dyshomeostasis. It is worth noting that the different intracellular distribution of cholesterol in APOE3 and APOE4 astrocytes is not due to differences in cholesterol contents between the two genotypes, as the VIP for cholesterol was consistently lower than 1 in the lipidomes (data not shown).

Discussion

The study has two main general findings. First, in immortalized mouse astrocytes expressing human APOE3 and APOE4 we found that APOE4, in comparison to APOE3, increases receptor-induced Ca²⁺ responses due to increased release of Ca²⁺ from acidic organelles, which integrate lysosomes and related organelles. Further, APOE4-expressing astrocytes present distinct lipid profiles and are refractory to Ca²⁺-signaling regulation by lipids (model in Fig. 9). Second, Ca²⁺ hyperactivity associated with the APOE4 allele was also found ex vivo in astrocytes from targeted replacement male mice, but not in females, whose astrocytes showed increased Ca²⁺ responses in APOE3 mice, matching those in APOE4 mice. Below we discuss the possible links between dysregulation of Ca²⁺ signaling, lipid signaling and lipid homeostasis in astrocytes, and the implications in neurodegenerative diseases in which APOE4 is a risk factor in both men and women.

Mechanistically, a key finding is that the pH of acidic organelles is similar in immortalized APOE4 and APOE3 astrocytes, despite greater expression and activity of the lysosomal H⁺ pump V-ATPase, supporting the idea that the pH is maintained due to an antiparallel transport of H⁺ and Ca²⁺ that extrudes H⁺ and takes up Ca²⁺ via CAX. Thus, it is plausible that CAX expression and/or activity are increased in APOE4 astrocytes, too. In consequence, APOE4 acidic stores have greater Ca²⁺ content, and hence release more Ca²⁺ upon purinergic activation. Coordination between intracellular signaling pathways translates the increased Ca²⁺ mobilization from acidic vesicles to an increased Ca²⁺ released from ER, and a higher Ca²⁺ uptake into the mitochondria. In accordance with most studies in the field [36,37,38, 51, 58,59,60, 67,68,69], we considered this heterogeneous population of acidic vesicles as a whole, but we cannot rule out specific differential traits in a particular kind of acidic vesicle. For example, a recent report described differences of pH between the endolysosomal systems of APOE3 and APOE4 astrocytes [70], suggesting that greater pH differences than that detected in our study may exist between genotypes, depending on the compartment analyzed.

It is worth stressing that APOE4 expression not only alters Ca²⁺ uptake and mobilization from acidic stores, but also promotes general dysregulation of these organelles in astrocytes, including higher perinuclear lysosome localization and changes in the overall lysosomal lipidome. The intracellular localization of lysosomes, which is determined by factors such as phospholipids and cholesterol, is linked to many of their functions and pathology [71, 72], although such studies have only been performed in cultured cells, plausibly due to the difficulty of tracking the tortuous intracellular distribution of the endolysosomal system in whole tissues. Specifically, our study confirms the previous observation that aberrant accumulation of cholesterol conditions promotes perinuclear clustering of lysosomes [71]. On the other hand, our results showing aberrant intracellular cholesterol accumulation, together with alterations of phospholipid composition in cellular membranes in APOE4 astrocytes, point to dysregulation of the formation, internalization, and degradation of lipoproteins, processes in which lysosomes and related acidic vesicles participate [73]. Moreover, alterations of cholesterol trafficking and intracellular cholesterol accumulation have been linked to impaired autophagy [74]. Accordingly, impaired autophagy [75] and reduced lysosome-dependent amyloid degradation [76] have been reported in immortalized APOE4 astrocytes, and in astrocytes derived from APOE4 iPSC, respectively. Transcriptome analyses of whole brains of aged APOE4 targeted replacement mice also revealed dysregulated expression of genes related to the endolysosomal system, although the contributions of the different cellular types were not studied [77]. Dysregulation of Ca²⁺ homeostasis might be a cause rather than a consequence of lysosomal dysfunction, as there is evidence supporting Ca²⁺ release from acidic stores controlling endolysosomal trafficking and autophagy [67, 78]. Moreover, in astrocytes, it has been reported that NAADP-induced Ca²⁺ release from lysosome-like organelles increases autophagic markers [79], and inhibits the fusion of the autophagosome with lysosomes, thus arresting the autophagic fluxes [69].

An unexpected discovery of this study is that lipoproteins modulate the magnitude of ATP-induced cytosolic Ca²⁺ responses in APOE3 astrocytes by changing the interplay of Ca²⁺ signaling and fluxes among organelles and the plasma membrane. The observation that the down-regulation of purinergic-induced Ca²⁺ responses in the presence of lipids is quick and reversible rules out the implication of gene expression and down-regulation of purinergic receptors. Rather, the phenomenon supports the emerging notion of lipid-mediated control of Ca²⁺ channels. Precedents are the activation by lysophosphatidylcholine of astrocytic extracellular Ca²⁺ entry [80], and the regulation by lipids of some of the channels responsible for SOCE. Specifically, cholesterol regulates TRPC1 in neutrophils [81] and STIM in pulmonary endothelial cells [82], whereas phosphoinositides regulate TRPC3,6,7 channels in numerous cell types [83]. Recently, very-low-density lipoproteins have been shown to inhibit STIM in atrial myocytes [84]; this study and ours are the first to report lipoproteins regulating Ca²⁺ signaling. It is worth stressing that the all-or-nothing experimental design consisting in testing the effects of media with and without lipoproteins allowed us to obtain proof of concept that lipoproteins modulate Ca²⁺ excitability in astrocytes, but in physiological settings, Ca²⁺ signaling in astrocytes is, plausibly, modulated by subtle changes in brain lipid contents.

Importantly, lipoprotein-mediated regulation of purinergic Ca²⁺ signaling is lost in APOE4 astrocytes. Several factors could explain this finding. First, the accumulation of lysosomes around the nucleus may uncouple the lysosomal Ca²⁺ release and SOCE. Second, the entry of extracellular Ca²⁺ triggered by low levels of Ca²⁺ inside acidic vesicles requires the TPC2 channels of acidic vesicles, which are less expressed in APOE4 than in APOE3 astrocytes. Third, Ca²⁺ inside the acidic stores is higher in APOE4 astrocytes compared to APOE3 cells; hence SOCE mechanisms may not be triggered after purinergic-induced lysosomal Ca²⁺ release. Fourth, APOE4 astrocytes may be devoid of the right concentration of lipids to modulate lysosomal and Ca²⁺ entry channels, as they have different lysosomal and cellular lipidomes compared to APOE3 cells. Specifically, the decreased contents of lysophosphatidylcholine species in APOE4 vs APOE3 cellular membranes may explain the uncoupling of Ca²⁺ fluxes in APOE4 astrocytes, for these lipids activate SOCE [80], and the cation TRPV2 channel [85] in astrocytes. Moreover, the increase in phosphatidylcholines in APOE4 lysosomes is consistent with the observed potentiation of NAADP-mediated Ca²⁺ release, since, as noted, phosphatidylcholines stimulate this pathway [65]. Finally, the decrease in plasma membrane cholesterol in APOE4 astrocytes compared to APOE3 cells may underlie the reduced SOCE activation, because SOCE requires cholesterol in different cell types [81, 82, 86]. Cholesterol alterations have been also reported in human APOE4-iPSC derived astrocytes [76], and in brains from 12-month-old APOE4 mice [87]. Interestingly, cholesterol synthesis is decreased in astrocytes upon aging [88], which might exacerbate APOE4-elicited lipid dyshomeostasis and Ca²⁺ signaling.

Remarkably, the differences in Ca²⁺ signaling between APOE4 and APOE3 astrocytes were also detected ex vivo in 9–12-week-old male but not in female mice, suggesting that the APOE allele affects astrocyte excitability in a sex-dependent manner. The present study thus adds to the increasing evidence of complex interactions between APOE genotype and sex, as shown, for example, in lipid-related metabolic variations [89], cerebrovascular pathology [90], and tau levels in the cerebrospinal fluid [91]. The following scenarios might explain the sex bias in astrocyte excitability in different APOE alleles. First, Ca²⁺ signals in female astrocytes might be by default higher, regardless of the APOE allele. Along these lines, a recent study showed greater estradiol-induced Ca²⁺ signals in astrocytes from female mice than from male astrocytes [92]. Second, the down-regulation of Ca²⁺-based excitability by lipids observed in immortalized APOE3 astrocytes might not occur in females. Note that ex-vivo Ca²⁺ responses in female mice resemble Ca²⁺ responses in immortalized astrocytes in the absence of lipoproteins. Emerging evidence indeed points to a distinct impact of APOE genotype on brain lipid metabolism [76, 87] with a sex bias [93]. In the latter study, lipid clustering by principal component analysis of cortical lipidomes unravels sample segregation by sex in APOE3 but not in APOE4 16 month-old mice [93]. That is, sex differences were observed in APOE3 but not in APOE4 mice, as in our study. Specifically, there was a trend for greater concentrations of phosphatidylcholines and lysophosphatidylcholines in APOE3 male than in APOE3 female mice [93]. Taking together these and our results, it is plausible that the interplay of sex, APOE genotype and age differently shapes the composition of lipid milieus in male and females through life, resulting in distinct astrocytic Ca²⁺ responses.

Whatever the case, our study supports that immortalized astrocytes from human APOE replacement mice may be a model to understand APOE4 pathology in males. The fact that Ca²⁺-based astrocyte excitability controls neural functions [94] lends credence to the hypothesis that APOE4-elicited dysregulation of Ca²⁺ fluxes in astrocytes contributes to the impairment of brain activity and metabolism in the healthy brain, as repeatedly reported in humans [4,5,6, 8], although, of note, no sex-based stratification existed in these studies. It is worth noting that the differences in APOE genotype were observed in 10-week old male mice, pointing to early detrimental actions of APOE4 in brain, not surprisingly so, for APOE alleles are acquired at conception. This is important because, although metabolic alterations and distinct patterns of brain activity have been reported in young humans harboring APOE4 [95, 96], and olfactory-memory impairment exists in 6 month-old APOE4 mice [13, 89], most studies with human APOE4 gene targeted replacement of murine APOE have been conducted with aged mice, and occasionally, middle-aged (over 10 months) rodents [97].

We emphasize that the APOE4 phenotype observed in the aforementioned studies, as well as in our study, occurs in the absence of LOAD pathology, although it may render brains more vulnerable to age-dependent ailments. Thus, a wealth of data suggests that APOE4 exacerbates the impairment of Aβ processing and clearance caused by ApoE, leading to increased accumulation, and hence aggregation, of Aβ in the brain [70]. In addition, ApoE4 has recently been reported to potentiate Tau-mediated neurodegeneration independently of Aβ [24]. However, it is increasingly more recognized that alterations in lysosomal functions [98], lipid homeostasis [99], and Ca²⁺ signaling play a role in LOAD, too. The Ca²⁺ hypothesis in LOAD contends that aberrant Ca²⁺ responses in neurons associated with Aβ, Tau, and the glutamatergic system underlie cognitive impairment [100]. In addition, Ca²⁺ signaling is profoundly dysregulated in astrocytes in animal models of AD [39, 101], mainly due to aberrant activation of purinergic receptors [56]. Our results support the notion that APOE4 may exacerbate the dysregulation of Ca²⁺ signaling in male astrocytes in LOAD owing to lysosomal dysfunction caused by lipid dyshomeostasis. Dysregulation of astrocyte excitability in LOAD may, in turn, contribute to neural-circuit hyperactivity independently of Aβ and Tau pathologies [102], supporting astrocytic-lysosome targeted therapies in LOAD, at least in male patients.

An outstanding question in APOE4-targeted therapeutics is whether the mutated domain renders ApoE4 toxic, or less efficient, than ApoE3 and ApoE2. Alternatively, since ApoE is lower in cerebrospinal fluid (CSF) of APOE4 individuals [62], and in plasma, CSF, and brain tissue of APOE3 and APOE4 as compared with APOE2 targeted replacement mice [103], is it the problem that ApoE4 is less abundant? The answers to these questions are important because they will determine whether therapeutic strategies should be aimed to increase or decrease ApoE production, or to replace APOE4 with APOE3 or APOE2. It seems unlikely that the effects of APOE4 on lysosomal-related Ca²⁺ fluxes are due to decreased expression of APOE4, because APOE4 over-expression did not revert Ca²⁺ responses to the levels observed in APOE3 cells. It is also unlikely that the APOE4 phenotypes are caused by direct interaction between ApoE4 and V-ATPase and/or NAADP receptors in the acidic organelles, as shown for APOD, another brain apolipoprotein that participates in vesicle-mediated astrocyte-to-neuron communication [104] and prevents lysosomal membrane permeabilization [51], given that our immunocytochemistry showed scarce ApoE in astrocytic lysosomes. Rather, the data support malfunction of ApoE4, which could be rescued by over-expression of APOE3, as shown here, and perhaps APOE2 [50]. Whether drugs designed to increase ApoE4 lipidation in order to enhance the capacity of the lipoprotein to carry cholesterol [105] would restore intracellular lipid dyshomeostasis in astrocytes is an open question, since the mechanisms whereby the APOE allele modifies lipid contents and distribution in astrocyte membranes remain to be explored. Alternatively, because APOE4 exacerbates ApoE-mediated Aβ aggregation [70] and Tau pathology [24], ApoE removal is being pursued by immunotherapy [106]. However, considering the pleiotropic functions of APOE as a lipid carrier between cells, and plausibly inside cells, chronic removal of ApoE may have secondary effects. All in all, development of APOE4-specific therapeutics is in order. To this end, better understanding of the basic biology of APOE, and of the particulars of APOE4 action and sex bias independently of Aβ and Tau, are necessary. Overall, our findings that APOE4 per se disrupts the lipid-based regulation of Ca^+ 2 fluxes in astrocytes due to lysosomal dysregulation supports the notion that astrocyte dysfunction contributes to APOE4 pathology in neurodegeneration.

Conclusions

Taking together ex vivo and in vitro data, we conclude that APOE4 malfunction augments Ca²⁺-based excitability in astrocytes due to dysregulation of calcium fluxes in and out the lysosome, associated with lipid dyshomeostasis, and that the phenomenon might be male-associated. One implication of the study is that it supports the use of therapies aimed to restoring lysosomal dysfunction in astrocytes, including targeted overexpression of APOE3 or APOE2, in order to halt the accelerated progression of LOAD in male APOE4 carriers. Since Ca²⁺ signaling is central to the regulation of neural circuits by astrocytes, another implication of the study is that the therapeutic correction of astrocyte excitability might reverse the neural-circuit hyperactivity observed in APOE4-harboring humans and mice in the absence of Aβ and Tau pathologies. Finally, clarifying the sex bias in the efficacy of APOE4 targeted therapeutics is a must, for the mechanisms underlying APOE4 pathology might differ in males and females.

Availability of data and materials

Not applicable.

Abbreviations

APOE:: Apolipoprotein E
ACSF:: Artificial cerebrospinal fluid medium
AUC:: Area under the curve
CAX:: Ca2+/H+ exchanger
CSF:: Cerebrospinal fluid
ER:: Endoplasmic reticulum
FBS:: Fetal bovine serum
FC:: Fold change
GECI:: Genetically encoded Ca²⁺ indicators
GPN:: Glycyl-L-phenylalanine 2-naphthylamide
h:: Hours
IP3:: Inositol 1,4,5-triphosphate
KH:: Krebs medium
Lipo:: Lipofectamine
LOAD:: Late-onset Alzheimer’s disease
LPC:: Lysophosphatidylcholine
LPE:: Lysophosphatidylethanolamine
LTP:: Long-term potentiation
min:: Minutes
NAADP:: Nicotinic acid adenine dinucleotide phosphate
NMDG:: N-methyl-D-glucamine
PC:: Phosphatidylcholine
PE:: Phosphatidylethanolamine
PS:: Phosphatidylserine
ROI:: Region of interest
s:: Seconds
Sc:: Scramble
SOCE:: Store-operated Ca²⁺ entry
SR101:: Sulforhodamine
Tpc1:: Two-pore channels 1
Tpc2:: Two-pore channels 2
Trpml:: Transient receptor potential mucolipin
TTX:: Tetrodotoxin
VIP:: Variable importance in projection
Vs:: Versus

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Acknowledgements

We thank Dr. David M. Holtzman for providing us with APOE3 and APOE4 immortalized astrocytes.

Funding

This research was mainly funded by grants TV3–20141430, TV3–20141432 and TV3–20141431 from La Marató de Televisió de Catalunya (TV3) to EG, AG and JV respectively, and grants 2107 SGR1780 from AGAUR (Generalitat de Catalunya) to RM, 2017 SGR547 from AGAUR (Generalitat de Catalunya) to EG, BFU2016–75107-P from Ministerio de Economia, Industria y Competividad (Spanish Government) to GP, BFU2015–68149-R from Ministerio de Ciencia e Innovación (Spanish Government) and co-financed by European Regional Development Fund to MDG and PI18/01557 from Instituto de Salud Carlos III (ISCiii, Spanish Government) co-financed by FEDER funds from European Union to AG. CG-A was awarded a PhD fellowship BES-2017-080303 from Ministerio de Economía, Industria y Competividad (Spanish Government).

Author information

Elena Galea and Roser Masgrau contributed equally to this work.

Affiliations

Unitat de Bioquímica de Medicina, Departament de Bioquímica i Biologia Molecular, and, Institut de Neurociències (INc), Facultat de Medicina, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Barcelona, Catalonia, Spain
Raquel Larramona-Arcas, Miquel Vila, Elena Galea & Roser Masgrau
Cajal Institute, Consejo Superior de Investigaciones Científicas (CSIC), 28002, Madrid, Spain
Candela González-Arias & Gertrudis Perea
Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Instituto de Investigación Biomedica de Málaga (IBIMA), Universidad de Málaga, 29071, Málaga, Spain
Antonia Gutiérrez
Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
Antonia Gutiérrez, Javier Vitorica, Marta Martinez-Vicente & Miquel Vila
Departamento de Bioquímica y Biología Molecular, Facultad de Farmacia, Universidad de Sevilla, Instituto de Biomedicina de Sevilla (IBiS)-Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41012, Sevilla, Spain
Javier Vitorica
Departamento de Química, Facultad de Ciencias Experimentales, Campus de El Carmen, Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, 21007, Huelva, Spain
Tamara García-Barrera & José Luis Gómez-Ariza
Departamento de Bioquímica y Biología Molecular y Fisiología, Instituto de Biología y Genética Molecular, Universidad de Valladolid-CSIC, 43007 Valladolid, Spain
Raquel Pascua-Maestro & María Dolores Ganfornina
Alzheimer’s Disease Research Laboratory, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA
Eleanna Kara & Eloise Hudry
Present Address: Institute of Neuropathology, University Hospital of Zurich, 8091, Zurich, Switzerland
Eleanna Kara
Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR), 08035, Barcelona, Spain
Marta Martinez-Vicente & Miquel Vila
ICREA, Passeig Lluís Companys 23, 08010, Barcelona, Catalonia, Spain
Miquel Vila & Elena Galea

Authors

Raquel Larramona-Arcas
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Candela González-Arias
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Gertrudis Perea
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Antonia Gutiérrez
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Javier Vitorica
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Tamara García-Barrera
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José Luis Gómez-Ariza
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Raquel Pascua-Maestro
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María Dolores Ganfornina
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Eleanna Kara
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Eloise Hudry
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Marta Martinez-Vicente
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Miquel Vila
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Elena Galea
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Roser Masgrau
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Contributions

RL-A performed calcium imaging experiments in immortalized astrocytes, participated in the rest of in vitro experiments, analyzed data and participated in the writing of the manuscript. CG-A and GP performed experiments ex vivo. RP-M and MDG performed pH measurements. MM-V and MV isolated lysosomes. Lipidomics were done by TG-B, JLG and JV. AG participated in the immunocytochemistry experiments and discussions about lysosomal dysfunction. EH and EK produced and provided the GFP-APOE vectors. EG contributed to the conception of the project, the discussion of results and the writing and revising of the article. RM conceived, designed and supervised the project, performed some calcium imaging experiments, analyzed data and was responsible for data interpretation and writing and revising the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Roser Masgrau.

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Ethics approval

All experimental procedures were according to the animal research regulations (RD53/2013 and 2010/63/UE) from Spain and European Union, and with the approval of the Committees of Animal Research from the Institutional Animal Ethics Committee of CSIC.

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Not applicable.

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The authors declare that they have no competing interests.

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Larramona-Arcas, R., González-Arias, C., Perea, G. et al. Sex-dependent calcium hyperactivity due to lysosomal-related dysfunction in astrocytes from APOE4 versus APOE3 gene targeted replacement mice. Mol Neurodegeneration 15, 35 (2020). https://doi.org/10.1186/s13024-020-00382-8

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Received: 07 August 2019
Accepted: 25 May 2020
Published: 09 June 2020
DOI: https://doi.org/10.1186/s13024-020-00382-8

Keywords

APOE4
Astrocytes
Calcium signaling
Sex
Lysosome
Purinergic receptors
Lipidome

Sex-dependent calcium hyperactivity due to lysosomal-related dysfunction in astrocytes from APOE4 versus APOE3 gene targeted replacement mice

Abstract

Background

Methods

Results

Conclusions

Background

Materials and methods

Animal model

Cell culture

Ca2+ imaging in astrocytes ex vivo in brain slices

Ca2+imaging in astrocytes in vitro in immortalized astrocytes

Plasmid transfection and siRNA silencing

Lysosomal pH measurement

Immunocytochemistry

Cholesterol staining

Lysosomal isolation

Lipidomics

Western blot

Measurement of mRNA expression

Statistical analysis

Results

APOE4 expression alters astrocytic excitability

Immortalized APOE4 astrocytes show increased Ca2+ mobilization from acidic stores

Dysregulation of V-ATPase activity contributes to the alteration of Ca2+ responses in APOE4 astrocytes

APOE3 expression in APOE4 astrocytes reduces cytosolic Ca2+ responses

ATP-induced Ca2+ responses are modulated by extracellular lipids in APOE3 but not APOE4 astrocytes

The absence of lipids potentiates Ca2+ release from the ER and extracellular Ca2+ entry in APOE3 but not APOE4 astrocytes

Lipidomics reveals distinct lipid composition in lysosomal and whole-cell membranes from APOE3 and APOE4 astrocytes

Discussion

Conclusions

Availability of data and materials

Abbreviations

References

Acknowledgements

Funding

Author information

Affiliations

Contributions

Corresponding author

Ethics declarations

Ethics approval

Consent for publication

Competing interests

Additional information

Publisher’s Note

Rights and permissions

About this article

Cite this article

Keywords

Molecular Neurodegeneration

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Ca²⁺ imaging in astrocytes ex vivo in brain slices

Ca²⁺imaging in astrocytes in vitro in immortalized astrocytes

Immortalized APOE4 astrocytes show increased Ca²⁺ mobilization from acidic stores

Dysregulation of V-ATPase activity contributes to the alteration of Ca²⁺ responses in APOE4 astrocytes

APOE3 expression in APOE4 astrocytes reduces cytosolic Ca²⁺ responses

ATP-induced Ca²⁺ responses are modulated by extracellular lipids in APOE3 but not APOE4 astrocytes

The absence of lipids potentiates Ca²⁺ release from the ER and extracellular Ca²⁺ entry in APOE3 but not APOE4 astrocytes