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

Larramona-Arcas, Raquel,González-Arias, Candela,Perea, Gertrudis,Gutiérrez, Antonia,Vitorica, Javier,García-Barrera, Tamara,Gómez-Ariza, José L.,Pascua-Maestro, Raquel,Ganfornina, M. D.,Kara, Eleanna,Hudry, Eloise,Martinez-Vicente, Marta,Vila, Miquel,Gal

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RESEARCH ARTICLE Open Access Sex-dependent calcium hyperactivity due to lysosomal-related dysfunction in astrocytes from APOE4 versus APOE3 gene targeted replacement mice Raquel Larramona-Arcas 1 , Candela González-Arias 2 , Gertrudis Perea 2 , Antonia Gutiérrez 3,4 , Javier Vitorica 4,5 , Tamara García-Barrera 6 , José Luis Gómez-Ariza 6 , Raquel Pascua-Maestro 7 , María Dolores Ganfornina 7 , Eleanna Kara 8,9 , Eloise Hudry 8 , Marta Martinez-Vicente 4,10 , Miquel Vila 1,4,10,11 , Elena Galea 1,11† and Roser Masgrau 1*† 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-βand 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 Ca 2+ signaling is the basis of their excitability. Because APOE4 modifies membrane-lipid composition, and lipids regulate Ca 2+ channels, we determined whether APOE4 dysregulates Ca 2+ signaling in astrocytes. Methods: Ca 2+ signals were recorded in astrocytes in hippocampal slices from APOE3 and APOE4 gene targeted replacement male and female mice using Ca 2+ imaging. Mechanistic analyses were performed in immortalized astrocytes. Ca 2+ fluxes were examined with pharmacological tools and Ca 2+ probes. APOE3 and APOE4 expression was manipulated with GFP-APOE vectors and APOE siRNA. Lipidomics of lysosomal and whole-membranes were also performed. (Continued on next page) © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. * Correspondence: [email protected]at † Elena Galea and Roser Masgrau contributed equally to this work. 1 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 Full list of author information is available at the end of the article Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 https://doi.org/10.1186/s13024-020-00382-8 (Continued from previous page) Results: We found potentiation of ATP-elicited Ca 2+ responses in APOE4 versus APOE3 astrocytes in male, but not female, mice. The immortalized astrocytes modeled the male response, and showed that Ca 2+ hyperactivity associated with APOE4 is caused by dysregulation of Ca 2+ 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 Ca 2+ fluxes by extracellular lipids, and present distinct lipid composition in lysosomal and plasma membranes. Conclusions: Immortalized APOE4 versus APOE3 astrocytes present: increased Ca 2+ excitability due to lysosome dysregulation, altered membrane lipidomes and intracellular cholesterol distribution, and impaired modulation of Ca 2+ responses upon changes in extracellular lipids. Ca 2+ hyperactivity associated with APOE4 is found in astrocytes from male, but not female, targeted replacement mice. The study suggests that, independently of Aβand 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. Keywords: APOE4, Astrocytes, Calcium signaling, Sex, Lysosome, Purinergic receptors, Lipidome 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 [9–13], 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 [16–18], 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 [29–32]. Central to astrocyte-to-neuron communication is Ca 2+ signaling in astrocytes. Thus, although astrocytes are considered non-excitable cells in terms of action potentials, they respond by way of Ca 2+ signals to neurotransmitters. In turn, such Ca 2+ responses promote the release of several molecules called gliotransmitters, such as ATP, glutamate, D-serine or GABA [29,30,32–34]. Ca 2+ signaling is Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 2 of 23 thus considered the basis of astrocyte excitability, which is exquisitely precise owing to unique spatiotemporal Ca 2+ features resulting from the combination of Ca 2+ signaling pathways orchestrated by different second messengers, and intracellular organelles [35]. Pathways include inositol 1,4,5-triphosphate (IP3)-mediated Ca 2+ 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 Ca 2+ entry and mitochondrial Ca 2+ uptake can further shape cytosolic Ca 2+ increases [37,38]. Of note, dysregulation of Ca 2+ signaling in astrocytes has been reported in animal models of LOAD [39]. However, Ca 2+ 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 Ca 2+ excitability in astrocytes by modifying membrane lipid composition. To test this hypothesis, we studied ex vivo Ca 2+ 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 Ca 2+ 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 Ca 2+ responses were increased in immortalized APOE4 cells as compared to APOE3 cells. Cultured APOE4 astrocytes released more Ca 2+ 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 Ca 2+ signaling in immortalized APOE4 astrocytes. Finally, we demonstrated that APOE4 astrocytes have distinct lipidome and were refractory to control Ca 2+ fluxes by extracellular lipids. Taken together, the data suggest that the APOE genotype modulates Ca 2+ fluxes in astrocytes in a lipid, lysosome and sexdependent 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 Nineto 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% CO 2 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. Ca 2+ 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, NaH 2 PO 4 1.2, NaHCO 3 30, HEPES 20, MgSO 4 10, CaCl 2 0.5, glucose 25, sodium ascorbate 5, thiourea 2, sodium pyruvate 3, gassed with 95% O 2 / 5% CO 2 (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, KH 2 PO 4 1.25, MgSO 4 2, NaHCO 3 26, CaCl 2 2, and glucose 10, gassed with 95% O 2 /5% CO 2 (pH 7.3– 7.4). Slices were loaded with sulforhodamine 101 (SR101, 1 μM) for 20 min at 34 °C for astrocyte labeling [46–48], 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-R 2 , 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 Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 3 of 23 NIS-Elements software (Nikon, Japan) that was also used for epifluorescence measurements. Astrocyte Ca 2+ levels were recorded from the astrocyte cell body, and Ca 2+ variations were quantified as changes in the fluorescence signal (F) over the baseline (F 0 ) ((F-F 0 )/F 0 ). Two protocols of Ca 2+ monitoring were used. Firstly, spontaneous events were studied by recording Ca 2+ events for 120 s. Secondly, ATP-induced responses were studied by recording Ca 2+ 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). Ca 2+ imaging in astrocytes in vitro in immortalized astrocytes Intracellular Ca 2+ measurement was performed using 2μM of fura-2/AM, a ratiometric fluorescence indicator whose fluorescence ratio (R 340/380 ) is proportional to Ca 2+ concentration. Imaging of Ca 2+ signaling in organelles was performed using genetically encoded Ca 2+ 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/F 0 ). 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 μLof 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 μMof monensin and 30 μM of nigericin were added to the pHcalibration 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. Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 4 of 23 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 mitochondrialysosomal-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 CHCl 3 : 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 twodimensional 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 –FDR5%) 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-VATPase subunit V 0 D 1 (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 Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 5 of 23 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′-CTGG GAGAGATGAATTATCAAGAG-3′;5′-GTTGTGTACGAAGAGGTAGG-3′), Tpc2 (5’GCTGAGCCTTGCTT GTGAGG-3′;5′-ACACTTCAGGGTCTTCTTCATCA3′), and Gapdh (5′-AAGCTCATTTCCTGGTATGAC3′;5′-TGGTCCAGGGT TTCTTACTC-3′). Statistical analysis Each determination was carried out with cells from at least three different passages. A parametric unpaired Ttest 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’sor 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 (**), pvalue < 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 Ca 2+ 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 Ca 2+ indicator fluo-4/AM and the astrocytic marker sulforhodamine (SR101) (Fig. 1a, see Materials and methods). We analyzed Ca 2+ spontaneous activity—that is, Ca 2+ events at rest conditions—and neurotransmitter-induced Ca 2+ responses in cells colabeled with Fluo-4/AM and SR101. To study spontaneous activity, we recorded APOE3 and APOE4 astrocytes for 120 s. For receptor-mediated Ca 2+ 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 Ca 2+ 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 Ca 2+ hyperactivity in AD mouse models [56]. In male mice, we detected increased amplitude of spontaneous Ca 2+ transients in APOE4 vs APOE3 astrocytes (Fig. 1b). Regarding induced activities, purinergic stimulation caused in both genotypes the increase in magnitude and frequency of Ca 2+ transients typically seen in astrocytes. The amplitude of Ca 2+ responses was greater in APOE4 cells than in APOE3 cells (Fig. 1c and d). Further, the magnitude of Ca 2+ 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 Ca 2+ responses was similar in both genotypes, in both the ATP and post-ATP phases. It is worth stressing that the amplitude of spontaneous Ca 2+ 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 Ca 2+ responses in astrocytes from APOE3 females represented the maximal Ca 2+ response that could not increase further. Altogether, the ex vivo observations suggest that expression of human APOE alleles modulates Ca 2+ transients in astrocytes in a sex-specific manner, such that expression of the APOE3 allele in male mice results in globally decreased Ca 2+ transients in astrocytes—or expression of APOE3 in females in a global increase—as compared to the APOE4 allele. Immortalized APOE4 astrocytes show increased Ca 2+ mobilization from acidic stores To gain insight into the mechanism by which expression of different APOE alleles regulates Ca 2+ 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 Ca 2+ phenotype is maleor female-like. Our data show that they reproduce a Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 6 of 23 male-like Ca 2+ signaling phenotype in the presence of lipids. First, differences in Ca 2+ responses at rest showed the same trend observed in male mice. APOE4 astrocytes had significantly different Ca 2+ 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 Ca 2+ oscillations observed ex vivo, but stable basal Ca 2+ levels that we could compare thanks to the ratiometric fura-2/AM Ca 2+ indicator. Second, 100 μM ATP stimulation resulted in greater Ca 2+ responses in APOE4 than in APOE3 astrocytes (Fig. 3a). Purinergic-induced Ca 2+ 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 Ca 2+ signaling was not restricted to purinergic stimulation, as adrenergic and muscarinic-receptor activation also triggered greater cytosolic Ca 2+ responses in APOE4 than in APOE3 astrocytes (Fig. 3b and c). Importantly, the magnitude of Fig. 1 Enhanced Ca 2+ signals in astrocytes from male APOE4 vs APOE3 targeted replacement mice. aAstrocyte from stratum radiatum of hippocampus of male mice labeled with SR101 (red), fluo-4/AM (green), and merged image. Scale bar represents 10 μm. bSpontaneous Ca 2+ activity in astrocytes from APOE3 (N= 36 astrocytes) and APOE4 male mice (N= 16 astrocytes). Ca 2+ was monitored for 120 s without any stimulation. cLeft panels, raster plots of Ca 2+ activity in APOE3 (upper panel, N= 146 astrocytes), and APOE4 male mice (lower panel, N= 171 astrocytes). The color code indicates relative fluorescence changes before and after local application of ATP (arrow, 5 s, 1 mM). Right panel, representative traces of Ca 2+ signals evoked by an ATP puff in APOE3 (top) and APOE4 (bottom) astrocytes (arrows indicate ATP stimulation). d Quantification of the amplitude and frequency of Ca 2+ events for 30 s before (basal peaks), during (ATP) and after local application of stimulus (post-ATP). Statistical significance was established at p< 0.05 (*), p< 0.01 (**), and p< 0.001 (***); One-way ANOVA followed by Dunn’s post hoc test. All the experiments were performed in the presence of TTX (1 μM). N= 4 mice, for both APOE3 and APOE4 Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 7 of 23 purinergic-induced Ca 2+ 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 Ca 2+ responses by APOE alleles in males. Next, in order to identify which pathways are dysregulated in APOE4 astrocytes, we examined Ca 2+ fluxes among the principal intracellular Ca 2+ sources with organelle-specific probes and pharmacological manipulations. First, we investigated the mitochondrial Ca 2+ uptake that characteristically buffers increases in cytosolic Ca 2+ . Since APOE4 has been described as harming mitochondria in neurons [57], we reasoned that harmed mitochondria in APOE4 astrocytes could result in deficient Ca 2+ uptake, and hence in increased intracellular Ca 2+ responses. However, expression of the mitochondrial Ca 2+ indicator CEPIA3mt (Fig. 3d) showed higher Fig. 2 Equal Ca 2+ signals in astrocytes from female APOE3 and APOE4 targeted replacement mice. aSpontaneous Ca 2+ activity in astrocytes from APOE3 (N= 26 astrocytes) and APOE4 female mice (N= 35 astrocytes). Ca 2+ was monitored for 120 s without any stimulation. bLeft panels, raster plots of Ca 2+ activity in astrocytes from APOE3 (upper panel, N= 165 astrocytes), and APOE4 female mice (lower panel, N= 124 astrocytes). The color code indicates relative fluorescence changes before and after local application of ATP (arrow, 5 s, 1 mM). Right panel, representative traces of Ca 2+ signals evoked by an ATP puff in APOE3 (upper panel) and APOE4 (bottom panel) astrocytes (arrows indicate ATP stimulation). c Quantification of the amplitude and frequency of Ca 2+ events for 30 s before (basal peaks), during (ATP) and after local stimulus (post-ATP) in APOE3 and APOE4 astrocytes. Statistical significance was established at p< 0.001 (***); One-way ANOVA followed by Dunn’s post hoc test. All the experiments were performed in the presence of TTX (1 μM). N= 4 mice, for both APOE3 and APOE4 Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 8 of 23 Ca 2+ uptake in APOE4 mitochondria compared to APOE3 astrocytes, consistent with the higher ATPinduced Ca 2+ responses in the cytosol (Fig. 3e). Second, we studied the main Ca 2+ signaling pathway in astrocytes, Ca 2+ mobilization from the ER through the IP3 receptor, by transfecting cells with G-CEPIA1er (Fig. 3d), and directly measuring Ca 2+ contents inside this organelle. As expected, 100 μM ATP decreased Ca 2+ levels in the ER of both APOE3 and APOE4 astrocytes, indicative of Ca 2+ being released to the cytosol. Since the process is, although significantly, just slightly reinforced in APOE4 astrocytes (Fig. 3f), the greater cytosolic Ca 2+ responses in these cells could not rely exclusively on increased Ca 2+ mobilization from the ER. Third, we explored Ca 2+ mobilization from acidic stores, which are mainly lysosomes and related organelles [58] that we have shown to be involved in purinergic-induced Ca 2+ responses in astrocytes [37]. Figure 4a shows the main Ca 2+ fluxes in lysosomes. We recorded cytosolic Ca 2+ with fura-2/AM, after inhibiting Ca 2+ release from acidic stores with 100 μM of Ned-19, an inhibitor of NAADP receptors responsible for Ca 2+ release from these organelles [59]. Control cells were treated with DMSO, the vehicle of Ned-19. As expected, Ned-19 reduced ATPinduced Ca 2+ responses in APOE3 cells (Fig. 4b), confirming the contribution of lysosomal Ca 2+ to cytosolic transients [37]. Interestingly, Ned-19 greatly reduced Ca 2+ responses in APOE4 astrocytes, such that purinergic-mediated Ca 2+ responses in the presence of Ned-19 were of similar magnitude in both cell types. Fig. 3 Enhanced Ca 2+ signals in immortalized astrocytes from APOE4 vs APOE3 targeted replacement mice. Ca 2+ responses measured using fura2/AM in APOE3 and APOE4 astrocytes after stimulation with (a) 100 μM ATP, (b) 10 μM noradrenaline (NA), and (c) 100 μM acetylcholine (Ach). Representative traces and quantification of the magnitude of the responses are shown (N= 4 for aand c, and N= 3 for b). dImages of astrocytes transfected with the Ca 2+ probes for mitochondria (CEPIA3mt) and ER (G-CEPIA1er). Scale bar represents 15 μm. eRepresentative traces and quantification of mitochondrial Ca 2+ in APOE3 and APOE4 cells transfected with CEPIA3mt upon stimulation with ATP (N= 3). fRepresentative traces and quantification of the decrease in ER Ca 2+ upon stimulation of purinergic receptors in APOE3 and APOE4 cells transfected with GCEPIA1er (N= 5). Unpaired parametric T-test was used to compare responses in APOE3 vs APOE4 astrocytes. p< 0.05 (*), p< 0.01 (**), p< 0.001 (***) Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 9 of 23 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 Ca 2+ entry secondary to intracellular Ca 2+ mobilization underlies the greater Ca 2+ 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 Ca 2+ fluxes in APOE3 astrocytes. By contrast, APOE4 astrocytes present a higher content of lysosomal Ca 2+ , but appear to have lost the capacity to have Ca 2+ 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 Q 2 and R 2 Y 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 ttest 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. Twetyone 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 Ca 2+ 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). Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 16 of 23 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 Ca 2+ responses due to increased release of Ca 2+ from acidic organelles, which integrate lysosomes and related organelles. Further, APOE4-expressing astrocytes present distinct lipid profiles and are refractory to Ca 2+ -signaling regulation by lipids (model in Fig. 9). Second, Ca 2+ 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 Ca 2+ responses in APOE3 mice, matching those in APOE4 mice. Below we discuss the possible links between dysregulation of Ca 2+ 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 Fig. 8 Different lipid profiles in lysosomal and whole-cell membranes from APOE4 vs APOE3 astrocytes. aCholesterol accumulation visualized by Filipin III staining in immortalized APOE3 and APOE4 astrocytes (N= 2). Scale bar represents 100 μm. The white squares are amplified in the top right images. b,cPLS-DA analysis of lysosomal (b) and whole-cell membranes (c) from APOE3 and APOE4 immortalized astrocytes. Each dot is an individual sample. d,eRepresentation of changes of lipids with VIP > 1 identified in lysosome (d) and whole-cell (e) membranes as logarithm base 2 of fold changes of intensities in APOE4 vs APOE3. Positive values indicate increase and negative values decrease in APOE4 vs APOE3 cells. q < 0.05 (*), q < 0.01 (**), multi T-test analysis corrected by false discovery rate (FDR) Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 17 of 23 H + and Ca 2+ that extrudes H + and takes up Ca 2+ 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 Ca 2+ content, and hence release more Ca 2+ upon purinergic activation. Coordination between intracellular signaling pathways translates the increased Ca 2+ mobilization from acidic vesicles to an increased Ca 2+ released from ER, and a higher Ca 2+ uptake into the mitochondria. In accordance with most studies in the field [36–38,51,58–60,67–69], 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 Ca 2+ uptake and mobilization from acidic stores, Fig. 9 Summary of the Ca 2+ signaling alterations in APOE4 astrocytes. a) Ca 2+ signaling pathway of APOE3 (a) and APOE4 (b) astrocytes in the presence (left) or absence (right) of extracellular lipids. The name of channels and receptors that increase cytosolic Ca 2+ are in blue rectangles, whereas pathways decreasing cytosolic Ca 2+ are in green rectangles. The size of the arrows indicates if the process is increased with respect to APOE3 astrocytes in the presence of extracellular lipids. Plasma-membrane lipids and lipoproteins are shown in different colors in APOE3 and APOE4 astrocytes to reflect their different lipid composition. Organelle and plasmatic membrane graphs were obtained from Smart Servier Medical Art (https://smart.servier.com/) Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 18 of 23 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 lysosomedependent 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 Ca 2+ homeostasis might be a cause rather than a consequence of lysosomal dysfunction, as there is evidence supporting Ca 2+ release from acidic stores controlling endolysosomal trafficking and autophagy [67,78]. Moreover, in astrocytes, it has been reported that NAADP-induced Ca 2+ 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 Ca 2+ responses in APOE3 astrocytes by changing the interplay of Ca 2+ signaling and fluxes among organelles and the plasma membrane. The observation that the down-regulation of purinergic-induced Ca 2+ 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 Ca 2+ channels. Precedents are the activation by lysophosphatidylcholine of astrocytic extracellular Ca 2+ 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 Ca 2+ 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 Ca 2+ excitability in astrocytes, but in physiological settings, Ca 2+ signaling in astrocytes is, plausibly, modulated by subtle changes in brain lipid contents. Importantly, lipoprotein-mediated regulation of purinergic Ca 2+ signaling is lost in APOE4 astrocytes. Several factors could explain this finding. First, the accumulation of lysosomes around the nucleus may uncouple the lysosomal Ca 2+ release and SOCE. Second, the entry of extracellular Ca 2+ triggered by low levels of Ca 2+ inside acidic vesicles requires the TPC2 channels of acidic vesicles, which are less expressed in APOE4 than in APOE3 astrocytes. Third, Ca 2+ inside the acidic stores is higher in APOE4 astrocytes compared to APOE3 cells; hence SOCE mechanisms may not be triggered after purinergic-induced lysosomal Ca 2+ release. Fourth, APOE4 astrocytes may be devoid of the right concentration of lipids to modulate lysosomal and Ca 2+ 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 Ca 2+ 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 Ca 2+ 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 Ca 2+ signaling. Remarkably, the differences in Ca 2+ 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 sexdependent 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], Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 19 of 23 and tau levels in the cerebrospinal fluid [91]. The following scenarios might explain the sex bias in astrocyte excitability in different APOE alleles. First, Ca 2+ signals in female astrocytes might be by default higher, regardless of the APOE allele. Along these lines, a recent study showed greater estradiol-induced Ca 2+ signals in astrocytes from female mice than from male astrocytes [92]. Second, the down-regulation of Ca 2+ -based excitability by lipids observed in immortalized APOE3 astrocytes might not occur in females. Note that ex-vivo Ca 2+ responses in female mice resemble Ca 2+ 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]withasexbias[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 Ca 2+ 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 Ca 2+ -based astrocyte excitability controls neural functions [94] lends credence to the hypothesis that APOE4-elicited dysregulation of Ca 2+ fluxes in astrocytes contributes to the impairment of brain activity and metabolism in the healthy brain, as repeatedly reported in humans [4–6,8], 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, middleaged (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 Aβprocessing and clearance caused by ApoE, leading to increased accumulation, and hence aggregation, of Aβin 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 Ca 2+ signaling play a role in LOAD, too. The Ca 2+ hypothesis in LOAD contends that aberrant Ca 2+ responses in neurons associated with Aβ, Tau, and the glutamatergic system underlie cognitive impairment [100]. In addition, Ca 2+ 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 Ca 2+ 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 Aβand 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 Ca 2+ fluxes are due to decreased expression of APOE4, because APOE4 over-expression did not revert Ca 2+ 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 vesiclemediated 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 overexpression 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, Larramona-Arcas et al. Molecular Neurodegeneration (2020) 15:35 Page 20 of 23 because APOE4 exacerbates ApoE-mediated Aβaggregation [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 Aβand 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 Ca 2+ -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 maleassociated. 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 Ca 2+ 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 Aβand 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. 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 Ca 2+ indicators; GPN: Glycyl-L-phenylalanine 2naphthylamide; 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 Ca 2+ 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 Acknowledgements We thank Dr. David M. Holtzman for providing us with APOE3 and APOE4 immortalized astrocytes. Authors’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. 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). Availability of data and materials Not applicable. 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. Consent for publication Not applicable. Competing interests The authors declare that they have no competing interests. Author details 1 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. 2 Cajal Institute, Consejo Superior de Investigaciones Científicas (CSIC), 28002 Madrid, Spain. 3 Departamento de Biología Celular, Genética y Fisiología, Facultad de Ciencias, Instituto de Investigación Biomedica de Málaga (IBIMA), Universidad de Málaga, 29071 Málaga, Spain. 4 Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain. 5 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. 6 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. 7 Departamento de Bioquímica y Biología Molecular y Fisiología, Instituto de Biología y Genética Molecular, Universidad de Valladolid-CSIC, 43007 Valladolid, Spain. 8 Alzheimer’s Disease Research Laboratory, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA. 9 Present Address: Institute of Neuropathology, University Hospital of Zurich, 8091 Zurich, Switzerland. 10 Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR), 08035 Barcelona, Spain. 11 ICREA, Passeig Lluís Companys 23, 08010 Barcelona, Catalonia, Spain. 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