Niemann-Pick type C disease is a rare neurodegenerative disorder mainly caused by mutations in NPC1, resulting in abnormal late endosomal/lysosomal lipid storage. Although microgliosis is a prominent pathological feature, direct consequences of NPC1 loss on microglial function remain not fully characterized. We discovered pathological proteomic signatures and phenotypes in NPC1-deficient murine models and demonstrate a cell autonomous function of NPC1 in microglia. Loss of NPC1 triggers enhanced phagocytic uptake and impaired myelin turnover in microglia that precede neuronal death. Npc1−/− microglia feature a striking accumulation of multivesicular bodies and impaired trafficking of lipids to lysosomes while lysosomal degradation function remains preserved. Molecular and functional defects were also detected in blood-derived macrophages of NPC patients that provide a potential tool for monitoring disease. Our study underscores an essential cell autonomous role for NPC1 in immune cells and implies microglial therapeutic potential.
Niemann-Pick type C (NPC) disease is a rare lipid storage disorder (LSD) with heterogeneous presentations, including neurological, systemic and psychiatric symptoms. NPC patients suffer from ataxia, supranuclear saccade and gaze palsy and epileptic seizures due to progressive neurodegeneration, leading to premature death1,2,3. Psychiatric symptoms comprise bipolar disorder, schizophrenia-like psychosis or major depression4. NPC mainly manifests during childhood, although juvenile and adult cases have also been reported1,3,4,5,6. Approximately 95% of the patients carry autosomal recessive mutations in the NPC1 gene, with the remaining cases being caused by mutations in the NPC23. The NPC1 gene encodes for a transmembrane protein and the NPC2 for a soluble protein that are jointly responsible for the egress and recycling of lipoprotein-derived cholesterol from late endosomes/lysosomes toward other cell compartments like the endoplasmic reticulum (ER) or plasma membrane7,8,9. Impairment of this lipid trafficking route causes an abnormal accumulation of unesterified cholesterol and other lipids (e.g., glycosphingolipids, sphingomyelin, and sphingosine) in late endosomal/lysosomal compartments, resulting in endosomal/lysosomal dysfunction10,11.
A mouse model that carries a spontaneous loss of function mutation within the Npc1 gene (deletion of 11 out of its 13 transmembrane domains, BALB/cNctr-Npc1m1N/J, further abbreviated as Npc1−/−)12,13 reliably features early-onset human pathology, including neurodegeneration of vulnerable NPC regions, such as Purkinje cells in the cerebellum or other neurons in the thalamus14,15. The cortex and hippocampus appear less affected in NPC16. Behavioral defects, such as mild cerebellar ataxia and tremor, can be detected in Npc1−/− mice at 6 weeks of age and become more prominent by 8 weeks. Severe ataxia, difficulties in food and water uptake and weight loss appear by 10-12 weeks of age (humane endpoint)17.
The molecular mechanism responsible for neuronal death in NPC is still not fully understood. It has been proposed that accumulation of lipids, particularly sphingosine, can induce an imbalance in calcium homeostasis and affect lysosomal trafficking18. Additionally, lipid accumulation within lysosomes and mitochondrial membranes may induce oxidative stress19,20. Different studies linked NPC1 dysfunction to alterations in mammalian target of rapamycin complex 1 (mTORC1) and microtubule-associated proteins 1A/1B light chain 3B (LC3) signaling, suggesting that autophagy might be compromised in NPC21,22,23,24,25. Although peripheral organs such as liver and spleen are affected by the disease, restoring NPC1 function in the central nervous system (CNS) only prevents neurodegeneration and premature lethality of the Npc1−/− mouse26. However, restoring Npc1 expression in neurons only does not fully rescue the phenotype and still results in lethality, suggesting that NPC1 is functionally important in other brain cells as well27,28,29,30. Noteworthy, the Npc1 gene is ubiquitously expressed throughout the brain31, with particularly high expression in oligodendrocytes and microglia32. Accordingly, it was shown that NPC1 function is crucial for correct maturation of oligodendrocyte progenitor cells (OPCs) and the maintenance of the existing myelin33,34.
Microglia, as the resident immune cells of the CNS, regulate brain homeostasis by orchestrating essential physiological processes like myelination and synaptogenesis35, but also actively contribute to pathophysiology of neurodegenerative disorders36,37,38,39,40,41. Gene expression studies including Alzheimer’s disease (AD), amyotrophic lateral sclerosis, fronto-temporal lobar degeneration or multiple sclerosis have underscored microglial diversity and delineated homeostatic and disease signatures, often assigned as “microglial neurodegenerative phenotype“ or “disease-associated microglia” (DAM)36,37,38,42,43,44,45,46. Loss of Npc1 is also associated with a massive microgliosis47,48,49, and alterations of transcriptomic signatures were reported in microglia isolated from symptomatic Npc1−/− mice50. However, as microglial pathology can be triggered by neurodegenerative environment and consequences of a specific loss of NPC1 in microglia have not been reported, it is still debated whether microglial activation plays a causative role in NPC pathology and merits therapeutic investigation11,50,51,52,53. Although beneficial effects of reducing microglial activation were reported17,50,54, cell culture experiments suggested that Npc1−/− microglia do not directly trigger neurotoxicity55 and microglial ablation in an NPC murine model was not beneficial52. Nevertheless, significant changes in inflammatory markers were reported in both pre-symptomatic murine model and NPC patients, suggesting that immune response could be a precocious phenomenon preceding neuronal loss47,48,56,57,58. Taking together the fundamental contribution of microglia during brain development and pronounced NPC pathology at childhood age, early microglial dysregulation could have profound pathological consequences. Thus, deciphering microglial contribution to NPC neuropathology is of key importance to judge whether modulation of the inflammatory response bears therapeutic potential.
In the present study, we demonstrated that loss of NPC1 can lock microglia in a disease state, largely compromising their physiological functions. Additionally, we characterized a cholesterol-triggered lipid trafficking defect in Npc1−/− microglia and discovered that accumulation of undigested lipid material is rather a consequence of impaired trafficking to lysosomes, as lysosomal proteolytic function remains preserved. Furthermore, we demonstrated that macrophages of NPC patients recapitulate major molecular and functional defects observed in the brain microglia, and thus present a valuable model for biomarker studies and clinical monitoring. Our study underscores an essential cell autonomous role for NPC1 in microglia and implies their therapeutic potential.
Loss of NPC1 induces cholesterol storage in microglia and triggers disease associated proteomic and functional signatures
Symptomatic Npc1−/− mice (8 weeks) display a severe degeneration in the cerebellum, particularly affecting the Purkinje cell layer which was visualized by Calbindin immunostaining (Supplementary Fig. 1a), as already reported14,15. Increased immunoreactivity of a myeloid-specific lysosomal marker CD68 (Supplementary Fig. 1a) revealed microglial cells with amoeboid morphology50, suggesting their active phagocytic status59,60,61. However, regions like cortex (Supplementary Fig. 1b) and hippocampus (Supplementary Fig. 1c) also showed pronounced CD68 immunoreactivity in symptomatic Npc1−/− mice, but without detectable alterations of neuronal marker NeuN, thus excluding overt neuronal loss.
It is known that Npc1 is highly expressed in microglia32, implicating a cell autonomous function in immune cells. To test this hypothesis, we isolated primary cerebral microglia from symptomatic Npc1−/− mice and cultured them in vitro. Using the cholesterol binding dye Filipin62, we found increased intracellular cholesterol content in Npc1−/− microglia compared to WT (Fig. 1a). Co-staining with CD68 showed that most of the cholesterol load in Npc1−/− microglia was localized within late endosomes/lysosomes. Thus, cultured Npc1−/− microglia isolated from the neurodegenerative brain environment still display a cholesterol storage phenotype as reported55. This result suggests that, in addition to neurons, NPC1 likely exerts a cell autonomous function also in microglia and microglial phenotype should not be considered only as a bystander of neurodegeneration28,53.
Findings in AD models revealed that under pathological conditions microglia can switch from a resting homeostatic to a DAM state that is characterized by distinct transcriptomic signatures37,63. We profiled the proteome of cerebral microglia acutely isolated from 8 weeks old Npc1−/− and WT mice using mass spectrometry (MS). Quality control of microglia enriched fraction was performed via western blot analysis using specific markers for microglia (Iba1), neurons (Tuj1), astrocytes (GFAP) and oligodendrocytes (CNPase) (Supplementary Fig. 1d). Proteomic profiles of microglia isolated from 8 weeks old mice revealed major differences between Npc1−/− and WT, featuring disease associated signatures (Fig. 1b, Supplementary Data 1)37,38. Among significantly upregulated proteins, we identified TREM2, TYROBP, APOE, ITGAX/CD11c and many late endosomal/lysosomal proteins, including LAMP1/2, LIPA, CD68, CTSB, CTSD or GRN. Among those, ITGAX showed the largest increase (39-fold). Concomitantly, markers associated with the homeostatic microglial function like P2RY12, TMEM119, CSF1R, CX3CR1, TGFB1 or TGFBR1 were decreased (Fig. 1b, Supplementary Data 1). Notably, Ingenuity Pathway Analysis (IPA) of MS data revealed phagosome maturation and autophagy as the two pathways mostly affected by the loss of NPC1 (Fig. 1c, Supplementary Fig. 2a), implicating a functional role of NPC1 in regulation of intracellular trafficking in microglia. Moreover, we compared our proteomic signatures with published transcriptome data of Npc1−/− microglia50 and found a good correlation of DAM and homeostatic signatures, suggesting their transcriptional mode of regulation (Supplementary Fig. 2b). Western blot analysis of selected DAM signature proteins (Fig. 1d) confirmed our MS data. Of note, increased levels of lysosomal proteins such as CTSB or CTSD in Npc1−/− microglia were not accompanied by their reduced maturation as visualized by the increased levels of pro, single and heavy chain forms, suggesting that lysosomal degradation function, necessary for cathepsin maturation, is preserved upon loss of NPC1 (Fig. 1d).
To study the functional consequences of altered microglial proteomic signatures, we used an ex vivo amyloid β (Aβ) plaque clearance assay64,65,66. To this end, microglial phagocytic clearance of Aβ plaques was determined by measuring the reduction of fibrillar Aβ load visualized by Thiazine Red (ThR) staining after incubation of amyloid plaque bearing brain section with exogenously added microglia (Fig. 1e). Microglia from 8-weeks old Npc1−/− mice showed a 1.6-fold higher phagocytic clearance of amyloid aggregates compared to WT cells (Fig. 1f), suggesting that lysosomal degradation in Npc1−/− microglia is functional.
Taken together, our data show that a prominent neuroinflammation in Npc1−/− symptomatic mice is molecularly characterized by altered microglial proteomic signatures of intracellular trafficking, lysosomal function, and phagocytosis and functionally reflected by increased phagocytic clearance.
Early changes in microglial Npc1 −/− proteomic signatures occur prior to neuronal death and correlate with increased phagocytosis
Lack of NPC1 is likely to affect microglial function already during developmental stages when microglia are critically required for clearance of neuronal debris, synaptic pruning, and successful myelination that are pre-requisites for proper neuronal connectivity. To this end, we analyzed microglial phenotype at pre-symptomatic stages of Npc1−/− mice (P7). In agreement with the previous studies15,16,47, Calbindin immunostaining delineated an intact layer of Purkinje cells, whereas cerebellar CD68 immunoreactivity was already upregulated in Npc1−/− microglia when compared to WT (Fig. 2a). This result implicates that despite the preserved neuronal environment, cerebellar Npc1−/− microglia were already activated at pre-symptomatic stages. Importantly, we also detected higher CD68 levels in less affected Npc1−/− regions, including cortex (Fig. 2b), similarly as shown for the symptomatic stages (Supplementary Fig. 1b and c).
To pinpoint early microglial molecular alterations, we analyzed the proteome of cerebral microglia from pre-symptomatic Npc1−/− animals. Although MS analysis of acutely isolated microglia from P7 Npc1−/− mice showed less pronounced changes (Fig. 2c, Supplementary Data 2) compared to the 8-weeks old Npc1−/− microglia (Fig. 1b, Supplementary Data 1), most of the late endosomal/lysosomal markers, including LAMP1/2, LIPA, CD63, CD68, CTSB, CTSD or GRN were already significantly upregulated. Upregulation of late endosomal/lysosomal proteins endorses microglial state switch as an early event in the NPC neuropathological cascade. Similar to the symptomatic stage, canonical pathway analysis of microglia from pre-symptomatic stages highlighted autophagy and phagosome maturation as the two most significantly altered pathways (Fig. 2d, Supplementary Fig. 2c). Moreover, the prediction of upstream regulator activity revealed signaling aberrations in Npc1−/− microglia, including the most prominent downregulation or upregulation in pathways regulated by TGFB1 and TFEB, respectively (Supplementary Fig. 2d). Further analysis of proteins regulated by TGFB1 is pinpointing alterations of endosomal/lysosomal signaling and reduced microglial homeostasis in Npc1−/− animals at both pathological stages (Supplementary Fig. 2e). Selected proteins found upregulated in the proteomic analysis of pre-symptomatic Npc1−/− mice were confirmed via western blot analysis (Fig. 2e). One of the most significantly changed proteins at the pre-symptomatic stage was the late endosomal and exosomal marker CD63 (Fig. 2c and e), which suggests that defects in endosomal/lysosomal trafficking and sorting may be among the earliest pathological alterations in Npc1−/− microglia67,68. Of note, CD63 was also increased at symptomatic stage, but as it could only be detected in Npc1−/− microglia it is not listed in the Supplementary Data 1.
Next, we tested whether proteomic fingerprint alterations were accompanied by functional changes in microglia. To this end, we performed the ex vivo Aβ plaque clearance assay. Microglia from pre-symptomatic Npc1−/− mice showed more than 2.5-fold increased phagocytic clearance compared to WT microglia (Fig. 2f). To further confirm that lysosomal function is preserved in pre-symptomatic Npc1−/− microglia, we performed an in vitro pulse/chase epidermal growth factor receptor (EGFR) degradation assay. Western blot analysis and its densitometry quantification (Supplementary Fig. 3a and b) revealed comparable EGFR degradation rate in Npc1−/− and WT microglia, confirming that lysosomal degradation in microglia is not impaired by Npc1 deletion. Thus, our data demonstrate that molecular and functional alterations of microglia are among the earliest pathological hallmarks in NPC that occur independently from the neuronal loss observed at later stages.
Cell autonomous function of NPC1 in microglia
To demonstrate a cell autonomous mechanism for microglial activation in NPC, we crossed a mouse line with a floxed allele of the Npc1 gene (C57BL/6-Npc1tm1.2Apl)69 with a mouse line expressing Cre recombinase under myeloid specific Cx3cr1 promoter (B6.Cx3cr1tm1.1(cre)Jung/N)70, thus generating a specific depletion of NPC1 in microglia in double transgenic mice (Npc1flox/cre+). Correspondingly, microglia enriched fraction isolated from 8-weeks old Npc1flox/cre+ mice showed a complete loss of NPC1 and a pronounced increase of late endosomal/lysosomal markers including LAMP1, CD68, and CD63 when compared to microglia enriched fraction of control mice (Npc1flox/cre−) (Fig. 3a). These changes, triggered by the loss of NPC1 only in microglia, strongly support its role in late endosomal/lysosomal pathway and switch toward DAM signature that we described using the global Npc1−/− model. Accordingly, histological analysis showed that, despite an absence of neurodegeneration in all brain areas, including Purkinje cell layer, CD68 reactivity was significantly increased in cerebellum and cortex of Npc1flox/cre+ compared to Npc1flox/cre− mice (Fig. 3b and c). Importantly, proteomic analysis of acutely isolated microglia from 5 months old Npc1flox/cre+ mice revealed a fully established DAM signature (Fig. 3d, Supplementary Data 3), strongly resembling disease signatures we observed in symptomatic Npc1−/− mice (Supplementary Fig. 3c). These data confirm that NPC1 has a cell autonomous role in microglia and that chronic inflammation which is triggered by its loss is a key feature of NPC neuropathology that should be considered for therapeutic targeting.
Npc1 −/− microglia display enhanced uptake but impaired turnover of myelin
It has been shown that Npc1−/− mice exhibit reduced myelination71,72 that has been linked to impairments in oligodendrocyte development33,34,73,74. However, it is well appreciated that microglia engulf and clear myelin debris, regulating thereby myelin turnover75. This process can be impaired by cholesterol accumulation in microglia76. To compare myelin levels in the Npc1−/− and WT brain sections, we used a co-staining for a myelin protein (2′,3′-cyclic-nucleotide 3′-phosphodiesterase, CNPase) and compact myelin (Fluoromyelin). Symptomatic Npc1−/− mice showed reduced levels of both CNPase and Fluoromyelin compared to WT (Fig. 4a). Next, we analyzed removal of myelin debris by Npc1−/− microglia. We found that in cerebellum (Fig. 4b) and cortex (Fig. 4c) of symptomatic Npc1−/− mice almost all CD68 positive cells accumulated Fluoromyelin intracellularly. Similarly, myelin accumulation was also detected within microglia of symptomatic Npc1nmf164 mice52. Noteworthy, we also observed colocalization between CD68 and myelin marker CNPase in Npc1flox/cre+ mouse brain in contrast to Npc1flox/cre− control (Fig. 4d), suggesting that loss of NPC1 in microglia is sufficient to trigger increased myelin uptake. Importantly, our proteomic analysis identified increased levels of myelin-specific proteins (e.g., proteolipid protein 1, PLP1) and proteins involved in microglial phagocytosis of myelin (e.g., galectin 3/LGALS3) in both Npc1−/− (Fig. 2c, Supplementary Data 1 and 2) and Npc1flox/cre+ microglia (Fig. 3d, Supplementary Data 3). Increased levels of PLP1 in microglia were also confirmed by western blot analysis (Fig. 4e, Supplementary Fig. 4a). Taken together, our analysis suggests that loss of NPC1 triggers hyper-reactive microglia that accumulate myelin and display prominent alterations of their proteomic signatures.
Increased levels of myelin proteins within Npc1−/− and Npc1flox/cre+ microglia could reflect a higher uptake, but also possible defects in myelin turnover, or both. To address this question, we explored an ex vivo assay of myelin clearance and observed higher uptake of myelin in microglia from Npc1−/− pre-symptomatic mice, as visualized by the increased levels of Fluoromyelin within CD68 positive cells compared to WT controls (Supplementary Fig. 4b). Of note, increased myelin uptake phenotype by microglia is in line with increased uptake of other substrates upon loss of NPC1, including Aβ plaques (Figs. 1f, 2f), synaptic proteins like synaptophysin (SYP) (Figs. 2c, 3d, Supplementary Data 1, 2, and 3) or Hoechst positive nuclear material (Supplementary Fig. 4c and d). Taken together, we observed increased phagocytic uptake of various microglial substrates upon loss of NPC1. In contrast to Aβ plaques that were efficiently degraded, myelin accumulated within Npc1−/− microglia (Supplementary Fig. 4b), suggesting possible impairments in myelin turnover.
Next, we investigated the turnover of exogenously added myelin in cultured Npc1−/− microglia isolated from pre-symptomatic mice. Cultured microglia have been pulsed for 6 h with purified and fluorescently labeled myelin76, and myelin turnover was monitored over 72 h (Fig. 5a). After 6 h, myelin was mainly found inside CD68 positive late endosomal/lysosomal compartments in both WT and Npc1−/− cells. At 48 h, most of the fluorescent labeling in WT cells was confined within vesicles outside of CD68 positive late endosomal/lysosomal compartments (Fig. 5b). Immunostaining for the membrane marker Perilipin 2 confirmed that these vesicles were lipid droplets, cellular organelles specialized for lipid recycling and storage and crucial for cell metabolism77 (Supplementary Fig. 5). In contrast to WT cells, Npc1−/− microglia accumulated labeled myelin within the late endosomal/lysosomal compartment, suggesting an impairment in myelin turnover and recycling into lipid droplets (Fig. 5b). Even after 72 h, Npc1−/− microglia still contained the engulfed myelin within late endosomal/lysosomal compartment and completely lacked fluorescently labeled lipid droplets (Fig. 5a), demonstrating a severe impairment and not just a delay in the myelin degradation process. To further confirm microglial impairment in myelin processing in Npc1−/− microglia, cells were analyzed for lipid droplet formation at 72 h using the lipophilic dye Nile red78 (Fig. 5c). Imaging analysis confirmed the presence of Nile red positive lipid droplets localized to the cell periphery in WT microglia. Again, in Npc1−/− microglia, lipid droplet staining could not be observed and Nile red visualized accumulated myelin within late endosomes/lysosomes.
Myelin accumulates in late endosomes/multivesicular bodies in Npc1 −/− mice
To further characterize endosomal/lysosomal defects, we performed an electron microscopy (EM) analysis of acutely isolated microglia from pre-symptomatic Npc1−/− and control WT mice. This analysis revealed pronounced accumulation of late endosomes/multivesicular bodies (MVBs) within Npc1−/− microglia (Fig. 6a and b (1)). Morphological analysis showed that most of these vesicles contained undigested lipid material (Fig. 6a and b (2)), further supporting that Npc1−/− microglia hold an increased phagocytic capacity toward myelin, but fail in its processing. Interestingly, in contrast to increased numbers of MVBs, no obvious increase in numbers of lysosomes (Fig. 6a) were observed in microglia by EM as it has been previously suggested in other brain cells23. This is in agreement with preserved lysosomal degradation function and suggests that myelin accumulates in late endosomes/MVBs and thus does not reach lysosomes where it is normally processed. To demonstrate a trafficking defect and myelin accumulation in late endosomes/MVBs, rather than lysosomes, we performed a pulse/chase experiment with primary microglia from pre-symptomatic Npc1−/− mice (Fig. 6c). Microglial cells were fed with fluorescently labeled myelin for 15 min, and myelin trafficking was followed over 1 h using fluorescently labeled CTX to visualize endosomes and DQ-BSA to label lysosomes. Confocal microscopy analysis revealed that in WT cells most of the phagocytosed myelin reached lysosomal compartment after 1 h. In contrast, myelin was poorly colocalizing with DQ-BSA in Npc1−/− microglia (Fig. 6d). Taken together, despite the enhanced phagocytic uptake by Npc1−/− microglia, lipid trafficking toward the lysosomes was impaired, thus resulting in myelin accumulation in late endosomes/MVBs and defects in lipid clearance.
Lowering cholesterol rescues lipid droplet formation and reduces pathological signatures of Npc1 −/− microglia
Many different lipid alterations have been reported in NPC and it is debated which lipid is causative for neuropathological defects10. To gain mechanistic insights into lipid alterations that are causative for microglial phenotypes we identified, we first lowered cholesterol due to the major regulatory effect of NPC1 on cholesterol transport79. Addition of cholesterol-lowering drug methyl-β-cyclodextrin (MβCD) partially restored lipid droplet formation in Npc1−/− microglia (Fig. 7a). As already shown upon in vivo treatment of Npc1−/− mice, MβCD is able to alter microglial transcriptional signatures50, suggesting that it may reverse excessive DAM response of Npc1−/− microglia. Thus, we looked for the rescue of microglial homeostatic signatures by analyzing levels of the homeostatic marker TGFB180 and DAM marker CTSD in cultured microglia upon MβCD treatment. MβCD treatment of Npc1−/− microglia associated with a pronounced increase in levels of TGFB1 and, concomitantly, decreased levels of CTSD, supporting its potential protective effect on enhancing microglial homeostasis and reducing DAM signatures (Fig. 7b). Of note, as already reported, cultured microglia show altered transcriptomic signatures with reduced homeostatic and increased inflammatory profiles80,81, mitigating differences between Npc1−/− and WT microglia in the absence of an additional challenge. This underscores the importance of proteomic studies in acutely isolated microglia. Taken together, these experiments suggest that cholesterol accumulation in microglia may, at least partially, be responsible for microglial functional deficits and suggest the beneficial effect of cholesterol-lowering drugs on reducing microglial activation.
Macrophages from NPC patients feature murine NPC1-deficient microglial phenotypes
Npc1−/− and Npc1flox/cre+ microglia offer potential for therapeutic intervention and biomarker studies, but translation of animal models to human patients is limited due to the very small number of NPC patients (estimated at 1:100,000 live births) and limited access to viable human brain tissue82. As a compromise, we explored human peripheral macrophages for their phenotypic alterations in NPC. First, we performed a proteomic analysis of peripheral blood monocyte-derived macrophages from 7 NPC patients and 3 healthy controls (Fig. 8a, Supplementary Data 4). Despite the larger variability among the human samples, this analysis revealed a tendency of increased levels of late endosomal/lysosomal and DAM proteins, including LAMP1/2, NPC2, ITGAX, CTSD, CTSB, APOE, GRN, and LIPA in NPC patient macrophages compared to healthy controls (Fig. 8a). Furthermore, increased levels of NPC2, LAMP1, CTSD, CD68, and GRN could be validated by western blot analysis (Fig. 8b). Thus, analysis of mouse microglia and NPC patient macrophages shows partially overlapping alterations in proteomic signatures upon loss of NPC1 and reveals its critical role in regulating endosomal/lysosomal homeostasis of myeloid cells. Noteworthy, in contrast to rodent Npc1−/− microglia that fully lack NPC1 (Fig. 1d), patient macrophages have residual levels of NPC1 (Fig. 8b) that may contribute to less prominent alterations in proteomic signatures.
Next, we functionally characterized patient macrophages using our ex vivo Aβ plaque clearance assay. Despite patient variability, NPC1-deficient human macrophages showed a tendency toward higher amyloid plaque clearance capacity in comparison to control cells, resembling phenotypic features of rodent Npc1−/− microglia (Fig. 8c and d). To further translate our observations from NPC1-deficient murine cells, we also performed the in vitro myelin phagocytic assay using patient cells (Fig. 8e). As we observed for the murine model, human NPC patient cells were capable to efficiently uptake exogenously added myelin, as judged by the intracellular fluorescent signal that could be detected in control and patient cells. At 48 h, fluorescently labeled lipid droplets were observed at the periphery in control cells. Similar to murine Npc1−/− microglia, fluorescently labeled lipid droplets could not be detected at the cell periphery of NPC patient cells, suggesting that a trafficking defect may preclude myelin degradation and recycling into lipid droplets.
In conclusion, our data show that NPC patient macrophages recapitulate many of the key molecular and phenotypic features of murine Npc1−/− microglia and thus represent a valuable tool to identify biomarkers and monitor disease progression and therapeutic interventions in NPC patients.
Our study reveals pathological proteomic fingerprints of microglia already in pre-symptomatic phase of NPC that associate with enhanced microglial phagocytic uptake and impairment in lipid trafficking, characterized by aberrant delivery of myelin into lysosomes and its accumulation within MVBs. This results in myelin turnover defects and severe impairment in lipid droplet formation that are accompanied by pronounced microglial inflammation and compromised function. Microglia are responsible for the neuroinflammatory phenotype that occurs in brains of Npc1−/− mice as infiltration of peripheral macrophages could not be detected in this model50,53,83. However, the contribution of microglial activation to neurodegeneration in NPC is still debated28,47,52,55,57,58. We detected pronounced microglial reactivity throughout cortex and hippocampus prior to neuronal loss that complements previous reports47,50. Furthermore, our molecular and functional characterization reveals microglial dysfunction as an early pathological insult in NPC. Importantly, we demonstrate a cell autonomous role of NPC1 in microglia as loss of NPC1 function in microglia only is sufficient to trigger microglial activation and pathological proteomic signatures. Taken together, our data show that microglial alterations are early neuropathological hallmarks of NPC that should be considered for therapeutic targeting.
In contrast to in-depth studies of microglial transcriptomic profiles across neurodegenerative diseases, microglial proteomic signatures are less characterized. Recent transcriptomic studies revealed upregulation of DAM signatures in Npc1−/− mice50,84 and overlap that we observe between transcriptomic and proteomic profiles suggests a transcriptional mode of regulation for the major DAM profiles in NPC, similarly as we described in AD microglia63. So far, it is unclear how DAM signatures across various neurodegenerative diseases reflect microglial function and whether they are predictive of beneficial or detrimental responses. Here, we demonstrate that DAM signatures correlate with increased phagocytic uptake both in murine Npc1−/− microglia and in human NPC macrophages. Similarly, in a LSD caused by granulin loss of function (Grn−/−)42,85, DAM signatures correlated with increased microglial phagocytosis86. In contrast, microglial cells in AD acquire DAM signatures36,38, but impaired phagocytic function has been reported59,87,88. We recently delineated proteomic signatures of AD microglia and discovered Microglial Aβ Response Proteins (MARPs) that reflect microglial alterations triggered by Aβ accumulation63. Although NPC and AD microglia share many of the key MARPs (e.g., ITGAX, APOE, LGALS3, TREM2, CD68, and CD63), they differ in phagocytic capacity toward Aβ. Thus, our data strengthen the fundamental importance of combining molecular fingerprint analysis with functional studies to identify molecular targets that are predictive of microglial function and could be explored for repair. NPC patients typically do not show amyloid plaque deposition, but do have increased Aβ production89,90,91,92. This was ascribed as a consequence of the limited life expectancy of NPC patients, but it is also tempting to speculate that increased phagocytic Aβ clearance in NPC may compensate for the increased Aβ generation and thereby counteract amyloid deposition.
Our proteomic profiles of acutely isolated Npc1−/− microglia revealed significant upregulation of numerous late endosomal/lysosomal proteins (e.g., LAMP1/2, CD63, CD68, CTSB, and CTSD) already in pre-symptomatic mice. Moreover, we show that specific deletion of Npc1 in microglia is sufficient to convert microglia toward a DAM phenotype. Thus, our study demonstrates that microglial activation is a direct consequence of loss of NPC1 function in microglia and not just an immune response mediated by degenerating brain environment. Importantly, our analysis of NPC patient macrophages revealed some of the changes observed in murine NPC1-deficient microglia (e.g., increased levels of LAMP1/2, CD68, CTSD, GRN, APOE or ITGAX), albeit to a lesser degree. This may be contributed by different degrees of NPC1 reduction (full loss of NPC1 in mouse model versus partial reduction in human cells), increased experimental variability or intrinsic differences between microglia and macrophages. Another limitation of our study is the treatment of recruited NPC patients with the approved drug miglustat93. Differences in the length of treatment period and patient-to-patient responsiveness could also contribute to reported proteomic profiles.
Noteworthy, and in line with our study, increased levels of cathepsins were reported in brain and plasma of NPC patients56,94. Along these lines, upregulation of pro-inflammatory gene expression in both murine and human brains, as well as inflammatory CSF signatures of NPC patients, suggest that immune changes are early pathological hallmarks of NPC48. Moreover, beside NPC, neuroinflammation is emerging as a common pathological denominator in other LSDs, suggesting that microglia are vulnerable to lysosomal impairments and that neuroinflammation contributes to neuronal death95,96. These findings are in line with our study showing that loss of NPC1 results in a strong pro-inflammatory phenotype and dysregulated microglia at early pre-symptomatic disease stages. Accordingly, pharmacological or genetic immune modulations have been shown to be beneficial and improved life expectancy in NPC murine models17,50,54.
Uncontrolled and overt microglial activation during early Npc1−/− development can compromise physiological processes and neuronal homeostasis. It is known that microglia play a role in synaptic pruning97,98 and synaptic changes together with axonal pathology are reported in Npc1−/− mice57,99. Of note, increased uptake of neuronal material that we detect in Npc1−/− microglia is in line with the previous reports50,100 and could impair neuronal connectivity as described in AD, schizophrenia and Grn−/− models101,102,103,104. Psychiatric symptoms are often found in NPC patients, particularly in individuals with juvenile onset disease, including mental retardation, behavioral problems, schizophrenia-like psychosis, bipolar disorder, and attention deficit hyperactivity disorder4,105. Further work is needed to clarify whether excessive microglial activity we describe here may compromise synaptic pruning and contribute to psychiatric manifestations reported in NPC patients and this pathomechanism may be of relevance for other psychiatric disorders.
In addition to synaptic pruning, microglia orchestrate myelin homeostasis, especially during development. Microglia control OPC recruitment and differentiation106,107 and are responsible for the clearance of myelin debris. Impaired removal of myelin debris by microglia can heavily compromise re-myelination upon injury52,76. The hypomyelination phenotype described in NPC mouse models and human patients has been mainly associated to a cell autonomous impairment of oligodendrocytes33,34,71,72,73,108. Our data reveal that at pre-symptomatic stage, when myelination process just started109, Npc1−/− microglia already show increased myelin uptake. Furthermore, LGALS3, that is expressed at high levels in microglia, triggers OPC differentiation and, together with TREM2, regulates myelin phagocytosis110. Our proteomic dataset showed that LGALS3 abundance is strongly increased both in Npc1−/− and Npc1flox/cre+ microglia, further supporting higher phagocytic capacity toward myelin. Accordingly, early accumulation of LGALS3 was found in blood serum of NPC patients, suggesting its potential as a biomarker for therapeutic monitoring56. Moreover, myelin accumulation and higher levels of several myelin proteins (e.g., PLP1 and MBP) were detected in Npc1flox/cre+ microglia in vivo. Thus, our data suggest a cell autonomous defect in myelin turnover triggered by the loss of NPC1 in microglia. This collective evidence suggests that, in addition to oligodendrocytes, hyperactive microglia may contribute to aberrant myelination in NPC.
NPC1 loss of function has been associated with impairment in lysosomal proteolysis25,52. However, the observed defects in degradation of myelin in Npc1−/− microglia and NPC patient macrophages are in contrast to what we observed for Aβ and EGFR where endocytosed material was degraded efficiently, supporting that lysosomal degradation function in myeloid cells may be preserved upon loss of NPC1. Along these lines, preserved lysosomal function has been anticipated in NPC patient cells111,112. We hypothesize that myelin degradation is impaired because phagocytosed material accumulates within late endosomes/MVBs that do not fuse with lysosomes. Impaired autophagy, vesicular fusion, and MVB accumulation has been demonstrated in NPC22,23,111,112,113,114. Protein substrates (e.g., Aβ or EGFR) may follow an alternative route to reach the lysosome and are therefore efficiently degraded, supporting our hypothesis of preserved lysosomal degradation in microglia. Furthermore, because the main lipid storage burden in NPC may not be occurring in lysosomes, but rather in late endosomes/MVBs, the term lysosomal storage disease may be revisited. Myelin accumulation that we observed in Npc1−/− microglia may be occurring in CD63 positive compartments, as this MVB/exosome marker is the most significantly altered protein in Npc1−/− microglia. CHM2A, that is another MVB protein, is also upregulated in pre-symptomatic phase of NPC, strengthening the relevance of MVB function for early pathogenesis of NPC115.
Lipids deriving from myelin degradation are normally stored in lipid droplets that play a key regulatory function in cellular metabolism77. Beyond their important metabolic role, lipid droplets can also prevent lipo-toxicity116,117 or protect cells from high reactive oxygen species (ROS)118,119,120, ER stress or mitochondrial damage77,121. Thus, tuning of lipid droplet cellular content is a crucial physiological process since either disturbances in formation119 or an excess of lipid droplets in microglia122 may contribute to increased cellular stress and neurotoxicity. Accordingly, increased ROS, cellular stress, and mitochondrial dysfunction have been associated with NPC123. Moreover, aberrant lipid droplet formation124 may also be linked to autophagy defects described in NPC21,22,23,24,111. It has been already shown that low concentrations of cyclodextrin treatment mobilize cholesterol from late endosomes/lysosomes and can delay neurodegeneration in vivo125,126. Along these lines, our MβCD rescue experiment provides a further mechanistic insight that lowering cholesterol levels partially rescues lipid droplet formation and restores homeostasis of Npc1−/− microglia, supporting the therapeutic benefits of cholesterol lowering in NPC11,50. Our proteomic analysis identified autophagosome formation and maturation as the most affected pathway in microglia upon loss of NPC1. Significant proteomic changes in proteins involved in autophagy further strengthen the regulatory role of NPC1 in intracellular trafficking22,23,111,112. Alterations in mTOR signaling were also found in our macrophage proteome analysis, confirming that this defect occurs in NPC patient cells.
The increased lipid burden in Npc1−/− microglia may contribute to further upregulation of late endosomal/lysosomal proteins in order to compensate for the lipid degradation failure. This negative feedback loop likely results in enhanced phagocytic uptake that further amplifies lipid burden and generates a chronic and self-sustained microglial activation that may be harmful to neurons. From a therapeutic point of view, we believe that a pharmacological approach based on a combination of immune modulation and lipid reducing agents should be considered as a treatment strategy in NPC.
Male and female C57BL/6J (Jackson Laboratory stock N° 000664), BALB/cNctr-Npc1m1N/J (Jackson Laboratory stock N° 003092)12,13, C57BL/6-Npc1tm1.2Apl69, B6.Cx3cr1tm1.1(cre)Jung/N70 and APPPS1 mice127 were used in this study. Animals were group housed under specific pathogen-free conditions. Mice had access to water and standard mouse chow (Ssniff Ms-H, Ssniff Spezialdiäten GmbH, Soest, Germany) ad libitum and were kept in a 12/12-h light–dark cycle in IVC System at the temperature of 20–22 °C and humidity of 45-46%. All experimental procedures were performed in accordance with the German animal welfare law and approval for this work has been issued to DZNE by the government of Upper Bavaria (license number ROB-55.2-2532.Vet_02-17-075).
All studies were performed in accordance with the 1964 Declaration of Helsinki and were approved by the local Ethics Committee of the University of Munich. Seven clinically affected NPC1 mutation carriers and three healthy volunteers (CTR) were included into this study. All participants gave written informed consent prior to their inclusion in the study. Data including NPC1 mutation status, pharmacological regimen and clinical features of participants included into the study are summarized in Supplementary Data 5.
Eight weeks old animals were transcardially perfused with 4% PFA/0.1 M PBS followed by 2 h post fixation with 4% PFA/0.1 M PBS. Postnatal day 7 (P7) brains were fixed for 6 h in 4% PFA/0.1 M PBS. Free-floating 30 μm sagittal brain sections were permeabilized and blocked for 1 h in PBS/0.5% Triton X-100/5% normal goat serum (NGS). Next, samples were incubated O/N at 4 °C with primary antibody solution in blocking buffer. After washing 3 times with PBS/0.2% Triton X-100, corresponding goat secondary antibodies (Alexa Fluor, Invitrogen) were diluted 1:500 in PBS/0.2% Triton X-100/2% NGS and incubated for 1 h at RT. Nuclear staining (Hoechst 33342 1:2000, Invitrogen) or myelin dye (Fluoromyelin red 1:300, Invitrogen) were incubated together with secondary antibodies. Sections were washed twice with PBS/0.2% Triton X-100 and once with PBS before being mounted using Fluoromount (Sigma Aldrich). Imaging was performed on 3 mice per genotype and time point using a Leica SP5 confocal microscope. Primary antibodies and dilutions were as follows: Calbindin (1:500, Swant); CD68 (1:500, AbD Serotec); Iba1 (1:300, Wako); NeuN (1:500, Millipore); CNPase (1:300, Abcam) and Synaptophysin (1:500, Abcam).
After the brain had been dissected, cerebellum, olfactory bulb, and brain stem were removed. The remaining cerebrum was dissociated using the Neural Tissue Dissociation Kit (P) (Miltenyi Biotec) according to the manufacturer’s protocol. To positively select microglial cells, cell suspension was incubated with CD11b microbeads (Miltenyi Biotec) and pulled down using a MACS separation column (Miltenyi Biotec). Purity of microglial fraction was tested by western blot using microglial, neuronal, astrocytic and oligodendrocyte markers as described below (western blot analysis). For mass spectrometry analysis, microglial fraction was washed twice with PBS and subsequently analyzed without culturing (acutely isolated). For cell culture experiments, isolated microglia were resuspended and plated at a density of 106 cells/6 cm dish in microglia culturing medium containing DMEM/F12 (Gibco) supplemented with 10% fetal bovine serum (FBS, Sigma Aldrich) and 1% PenStrep (Gibco). For adult microglia, medium was supplemented with 10 ng/ml GM-CSF (R&D System). To analyze cholesterol load, microglia from WT and Npc1−/− animals were plated onto glass coverslips and cultured for 5 days in vitro (5DIV). Cells were fixed with 4% PFA/sucrose for 15 min at RT. After permeabilization with PBS/0.1% Triton X-100, cells were incubated for 1 h in blocking solution (2% BSA/2% FBS/0.2% fish gelatin). Afterward, primary antibody against CD68 (1:500, AbD Serotec) was incubated for 1 h at RT. After washing, cells were incubated with a goat anti-rat Alexa Fluor secondary antibody (1:500, Invitrogen) together with a cholesterol binding dye (Filipin 100 μg/ml, Sigma Aldrich)62 for 1 h at RT. Cells were washed, mounted using Fluoromount and analyzed by confocal microscopy. Cells were analyzed from at least three independent experiments. For MβCD treatment, both WT and Npc1−/− P7 microglia were cultured at a density of 4 × 105 cells/well in a 12-well plate in microglia culturing medium. At 5DIV, cells were treated with 250 µM MβCD (Sigma Aldrich) or distilled water (Gibco) as a control for 48 h.
Isolation of peripheral blood monocyte-derived macrophages
Blood samples (20 ml) from clinically affected homozygous NPC1 mutation carriers and healthy donors were collected. Negative selection of peripheral blood monocyte-derived macrophages was performed by incubating full blood for 20 min at RT with RosetteSep Human Monocyte Enrichment Cocktail (StemCell Technologies). An equal volume of washing buffer (D-PBS/2% FBS/1 mM EDTA) was added to each sample and layer of macrophages was separated from red blood cells and plasma by centrifugation on a Ficoll gradient (800 × g for 15 min, GE Healthcare). Potential contamination by red cells was eliminated by incubating cell pellets with ACK lysis buffer (Gibco) for 3 min at RT. Lysis buffer was quenched with 40 ml of washing buffer and cells were centrifuged at 300 × g for 7 min. Cell pellets were resuspended and plated in macrophage complete medium (RPMI 1640/10% FBS/1% PenStrep/1X Pyruvate/1× NEAA) supplemented with 50 ng/ml hM-CSF (Thermo Scientific). After 48 h, 50 ng/ml of fresh hM-CSF was re-added. At 5DIV, media was discarded and adherent cells were washed once in PBS, incubated for 3 min at RT with Versene (Lonza) and scraped in 5 ml macrophage complete medium for further analysis.
Sample preparation for mass spectrometry
The microglia enriched fractions (n = 3) or human macrophages (7 NPC patients and 3 healthy controls) were lysed in 200 µl of STET lysis buffer (50 mM Tris/150 mM NaCl/2 mM EDTA/1% Triton X-100, pH 7.5) as described before63,128 and incubated 15 min on ice with intermediate vortexing. The samples were centrifuged for 5 min at 16,000 × g at 4 °C to remove cell debris and undissolved material. The supernatant was transferred to a fresh protein LoBind tube (Eppendorf) and the protein concentration was estimated using the Pierce 660 nm protein assay (ThermoFisher Scientific). A protein amount of 15 µg was subjected to tryptic protein digestion using the filter aided sample preparation protocol (FASP)129 using Vivacon spin filters with a 30 kDa cut-off (Sartorius). Briefly, proteins were reduced with 20 mM dithiothreitol and free cysteine residues were alkylated with 50 mM iodoacetamide (Sigma Aldrich). After the urea washing steps, proteins were digested with 0.3 µg LysC (Promega) for 16 h at 37 °C followed by a second digestion step with 0.15 µg trypsin (Promega) for 4 h at 37 °C. The peptides were eluted into collection tubes and acidified with formic acid (Sigma Aldrich). Afterward, proteolytic peptides were desalted by stop and go extraction (STAGE) with self-packed C18 tips (Empore)130. After vacuum centrifugation, peptides were dissolved in 2 µl 0.1% formic acid (Biosolve) and indexed retention time peptides were added (iRT Kit, Biognosys).
For label-free protein quantification (LFQ), peptides were analyzed on an Easy nLC 1000 or 1200 nanoHPLC (Thermo Scientific) which was coupled online via a Nanospray Flex Ion Source (Thermo Scientific) equipped with a PRSO-V1 column oven (Sonation) to a Q-Exactive HF mass spectrometer (Thermo Scientific). An amount of 1.3 µg of peptides was separated on in-house packed C18 columns (30 cm × 75 µm ID, ReproSil-Pur 120 C18-AQ, 1.9 µm, Dr. Maisch GmbH) using a binary gradient of water (A) and acetonitrile (B) supplemented with 0.1% formic acid (0 min, 2% B; 3:30 min, 5% B; 137:30 min, 25% B; 168:30 min, 35% B; 182:30 min, 60% B) at 50 °C column temperature.
Data-dependent acquisition (DDA) was used for LFQ of microglia from Npc1−/− mice and human macrophages. Full MS scans were acquired at a resolution of 120,000 (m/z range: 300–1400; automatic gain control (AGC) target: 3E+6). The 15 most intense peptide ions per full MS scan were selected for peptide fragmentation (resolution: 15,000; isolation width: 1.6 m/z; AGC target: 1E+5; normalized collision energy (NCE): 26%). A dynamic exclusion of 120s was used for peptide fragmentation.
Data independent acquisition (DIA) was used for LFQ of microglia from Npc1flox/cre mice. One scan cycle included a full MS scan (m/z range: 300–1400; resolution: 120,000; AGC target: 5E+6 ions) and 30 MS/MS scans covering a range of 300–1400 m/z with consecutive m/z windows (resolution: 30,000; AGC target: 3E+6 ions). The maximum ion trapping time was set to “auto”. A stepped NCE of 26% ± 2.6% was used for fragmentation.
Mass spectrometry data analysis and LFQ
Proteome from Npc1−/− microglia was analyzed with the software Maxquant, version 188.8.131.52 (maxquant.org, Max-Planck Institute Munich)131. The MS data were searched against a reviewed canonical fasta database of Mus musculus from UniProt (download: November the 5th 2018, 17,005 entries). Trypsin was defined as a protease. Two missed cleavages were allowed for the database search. The option first search was used to recalibrate the peptide masses within a window of 20 ppm. For the main search peptide and peptide fragment mass tolerances were set to 4.5 and 20 ppm, respectively. Carbamidomethylation of cysteine was defined as static modification. Acetylation of the protein N-terminal as well as oxidation of methionine were set as variable modifications. The false discovery rate for both peptides and proteins was adjusted to less than 1%. The “match between runs” option was enabled with a matching window of 1.5 min. LFQ of proteins required at least one ratio count of unique peptides. Only unique peptides were used for quantification. Normalization of LFQ intensities was performed separately for the age groups because LC-MS/MS data were acquired in different batches. The protein LFQ reports of Maxquant were further processed in Perseus132. The protein LFQ intensities were log2 transformed and log2 fold changes were calculated between NPC-deficient and WT samples separately for the different age groups, mouse models and patients. LFQ intensities were detected in every biological replicate in order for the proteins to be considered quantifiable and no imputation was performed to replace missing values. An unpaired Student’s t-test with two-tailed distribution was applied to evaluate the significance of proteins with changed abundance. Additionally, a permutation-based false discovery rate (FDR) estimation (threshold: FDR = 5%) was used to perform multiple hypothesis correction133. To ensure the adequate FDR cutoff, we experimentally determined the s0 values separately for each experimental dataset. Briefly, the “relative difference” di of each protein was calculated, which includes s0 as a variable. Next, s0 was optimized separately for each experimental dataset, based on an interpolation to reach the lowest coefficient of variation for the absolute di values133. A log2 fold change larger than 0.5, or smaller than −0.5, a p-value less than 0.05 and significant regulation after FDR filtering were defined as regulation thresholds criteria.
The proteomic data was further analyzed through the use of ingenuity pathway analysis (IPA, QIAGEN Inc., https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis). Standard settings were used for the analysis. Proteins with a log2 fold-change larger than 0.5, or smaller than −0.5 and a p-value less than 0.05 were defined as protein regulation thresholds.
Proteome from human macrophages was analyzed with Maxquant version 184.108.40.206 using the same settings searching against a reviewed fasta database of Homo sapiens from UniProt including isoforms (download: December the 17th 2018, 42,432 entries).
Proteome from Npc1flox/cre microglia was analyzed with the software Spectronaut (version 12.0.20491.14.21367) with standard settings using our previously generated microglia spectral library, including 122,542 precursor ions from 91,349 peptides, which represent 6223 protein groups63. Briefly, the FDR of protein and peptide identifications was set to 1%. LFQ of proteins was performed on peptide fragment ions and required at least one quantified peptide per protein. Protein quantification was performed on at least 2 and maximum 3 peptides per protein group. A permutation-based FDR correction for multiple hypotheses was applied as described above.
Western blot analysis
Acutely isolated and cultured microglia or human macrophages were lysed in STET lysis buffer supplemented with protease and phosphatase inhibitors (Sigma Aldrich). Lysate protein content was quantified using Bradford assay (Biorad) according to the manufacturer´s protocol. At least 10 μg per sample were separated on a bis-tris acrylamide gel followed by western blotting either on a PVDF or nitrocellulose membrane (Millipore) using the following antibodies: Iba1 (1:1000, Wako); GFAP (1:1000, Dako); Tuj1 (1:1000, Covance); CNPase (1:1000, Abcam); NPC1 (1:1000, Abcam); NPC2 (1:1000, Sigma Aldrich); LAMP1 (1:1000, Sigma Aldrich); Cathepsin B (1:2000, R&D System); Cathepsin D (1:1000, Novus Biologicals); mouse CD68 (1:1000, AbD Serotec); human CD68 (1:500, Acris); mouse CD63 (1:1000, Abcam); mouse GRN (1:50, clone 8H10,85); human GRN (1:1000, Invitrogen); TREM2 (1:10, clone 5F466); APOE (1:1000, Millipore); PLP1 (1:1000, Abcam); EGFR (1:1000, Abcam) and TGFB1 (1:1000, R&D System). Blots were developed using horseradish peroxidase-conjugated secondary antibodies (Promega) and the ECL chemiluminescence system (GE Healthcare). An antibody against Calnexin (1:1000, Stressgen) or GAPDH (1:2000, Abcam) was used as loading control. Blot densitometry quantification was performed using gel analyzer tool in ImageJ (NIH) with at least n = 3 for both human and murine samples.
Ex vivo Aβ plaque clearance and myelin phagocytic assay
To functionally characterize myeloid cells (primary microglia and human macrophages), we adapted a previously reported phagocytic assay64. Briefly, a 10 μm brain section from an AD mouse model (APPPS1) was placed on a poly L-lysine coated glass coverslip. In order to stimulate cell recruitment to the plaque site, brain sections were incubated for 1 h at RT with an antibody against human Aβ (5 μg/ml 6E10, BioLegend for microglia and 3 μg/ml 2D8134 for macrophages). Isolated cells were plated at a density of 3 × 105 (microglia) or 2.5 × 105 (macrophages) cells/coverslip and incubated either for 5DIV (microglia) or 1DIV (macrophages) in corresponding culturing medium. Next, samples were fixed with a 4% PFA/sucrose solution for 15 min at RT. Immunostainings were performed as described above using an antibody against myeloid cells (anti-CD68 for microglia and anti-CD45 (1:300, Abcam) for macrophages) and Aβ plaque (1:500, 3552,63). Fibrillar Aβ (plaque core) was visualized using Thiazine Red (ThR, 2 μM, Sigma Aldrich) added into the secondary antibody solution. To evaluate the phagocytic capacity of myeloid cells, plaque coverage (ThR signal area for microglia or 3552 for macrophages) was quantified, comparing brain section incubated with cells with a consecutive brain section where no cells were added. Quantification was done using a macro tool in ImageJ (NIH), applying to 10×16-bit tail scan picture of the whole coverslip with a threshold algorithm (OTSU) and measuring particles with a pixel size from 5 to infinity. For microglia, each experimental group was tested in three independent experiments, while for macrophages 6 NPC patients and 3 healthy controls were analyzed.
Similarly, we applied this assay to evaluate the capability of P7 microglia to uptake and digest myelin from the APPPS1 brain section. In order to evaluate myelin level after incubation with microglia, we used Fluoromyelin dye (1:300, Invitrogen) added together with the secondary antibody solution. CD68 was used to visualize microglia. Each experimental group was tested in three independent experiments.
In vitro myelin phagocytic assay
Myelin was isolated from 8-weeks old C57BL/6J mouse brains which were homogenized by sonication in 10 mM HEPES/5 mM EDTA/0.3 M sucrose/protease inhibitors76. The homogenate was layered on a gradient of 0.32 M and 0.85 M sucrose in 10 mM HEPES/5 mM EDTA (pH 7.4) and centrifuged at 75,000 × g for 30 min with a SW41 Ti rotor (Beckman Coulter). The myelin fraction was isolated from the interface, and subjected to three rounds of osmotic shock in sterile ultrapure water and centrifuged at 75,000 × g for 15 min. The resulting pellet was subjected to the same procedure to obtain a pure myelin fraction. The yield of myelin was calculated by measuring the total amount of protein with the Bradford assay (Biorad). For the fluorescence labeling of myelin, a PKH67 Green Fluorescent Cell Linker Mini Kit was used (Sigma Aldrich).
Primary microglia from P7 mice and human macrophages were isolated and cultured as described above. Cells were fed with purified green fluorescently labeled myelin at a concentration of 50 μg/ml. At 6 h, myelin was washed out and cells were fixed at 24/48/72 h with a 4% PFA/sucrose solution for 15 min. Immunostaining of fixed cells was performed as described above using antibodies against CD68 and Perilipin 2 (1:200, Progen) for microglia and CD45 for patient macrophages. Microglial lipid droplets were visualized using Nile red staining kit (Abcam) according to the manufacturer’s protocol. In order to monitor myelin trafficking during phagocytosis, primary P7 microglia were incubated with cholera toxin (CTX) subunit B Alexa Fluor™ 647 Conjugate (0.5 μg/ml, Thermo Fisher Scientific) and Red DQ-bovine serum albumin (DQ-BSA; 10 μg/ml, Invitrogen) for 30 min at 37 °C in microglial culturing medium. Cells were pulsed for 15 min with green fluorescently labeled myelin (10 μg/ml) and fixed after 1 h. For microglia rescue experiments, after myelin wash out, microglia were treated with 250 µM MβCD (Sigma Aldrich) or with distilled water (Gibco) as a control for 48 h and fixed with 4% PFA/sucrose for 15 min. For the quantification of the rescue experiment, 300 cells per technical replicate were analyzed (three technical replicates/cell preparation). Cells with Nile red positive structures in cell periphery were defined as lipid droplet positive cells. MβCD cholesterol-reducing activity was tested using a cholesterol-binding dye (Filipin 100 µg/ml, Sigma Aldrich). For all microglia experiments, three independent cell preparations (n = 3) were treated and analyzed by confocal microscopy. For human macrophages, cells from 2 NPC patients and 2 healthy controls were analyzed.
The microglial pellet was preserved throughout all fixation, contrasting and infiltration steps. Cells were fixed for 30 min in 2% PFA/2.5% glutaraldehyde (EM-grade, Science Services) in 0.1 M sodium cacodylate buffer (pH 7.4) (Sigma Aldrich), washed three times in 0.1 M sodium cacodylate buffer before postfixation in reduced osmium (1% osmium tetroxide (Science Services)/0.8% potassium ferrocyanide (Sigma Aldrich) in 0.1 M sodium cacodylate buffer). After contrasting in aqueous 0.5% uranylacetate (Science Services), the pellet was dehydrated in an ascending ethanol series, infiltrated in epon (Serva) and cured for 48 h at 60 °C. Ultrathin sections (50 nm) were deposited onto formvar-coated copper grids (Plano) and postcontrasted using 1% uranyl acetate in water and ultrostain (Leica). Transmission Electron Microscopy micrographs were acquired on a JEM 1400plus (JEOL) using the TEMCenter and tile scans with the ShotMeister software packages (JEOL), respectively. Three independent cell preparations were analyzed (n = 3).
EGFR degradation assay
Both WT and Npc1−/− P7 microglia were cultured at a density of 5 × 105 cells/well in a 12-well plate in microglia culturing medium. At 5DIV, microglia culturing medium was replaced with serum-free medium, containing only DMEM/F12 and 1% PenStrep. After 3 h of serum deprivation (t = 0), cells were treated with mouse recombinant EGF (40 ng/ml, R&D System) and cycloheximide (20 µg/ml, Sigma Aldrich) in serum-free medium. Cells were lysed at different time points (0, 1, 3, and 6 h) after treatment in STET lysis buffer and supplemented with protease and phosphatase inhibitors. EGF receptor (EGFR) level in each lysate was analyzed via western blot using an antibody against EGFR (anti-EGFR antibody EP38Y, Abcam). Each experimental group was tested in microglia isolated from three independent experiments (n = 3).
For comparison between two groups, unpaired Student’s t-test with two-tailed distribution was used. For the in vitro myelin phagocytic assay with MβCD, one-way ANOVA followed by unpaired two-tailed Student’s t-test was used. Data are represented as mean ± standard error of the mean (SEM). A value of p < 0.05 was considered significant (*p < 0.05; **p < 0.01; ***p < 0.001).
Further information on experimental design is available in the Nature Research Reporting Summary linked to this paper.
The mass spectrometry proteomics data are deposited at the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD019447 (proteomic signature of Npc1−/− microglia), PXD019452 (proteomic signature of Npc1flox/Cre microglia) and PXD020659 (proteomic signature of NPC human macrophages). Source data are provided with this paper.
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We thank Anita Hennig and Baccara Hizli for help with human blood sample collection and Anna Berghofer for excellent technical assistance. APPPS1 mice were kindly provided by Mathias Jucker (Hertie-Institute for Clinical Brain Research, University of Tübingen) and B6.Cx3cr1tm1.1(cre)Jung/N mice by Steffen Jung (Weizmann Institute of Science). The authors thank Anja Capell, Dieter Edbauer, Christian Haass, Matthias Prestel, and Michael Willem for critically reading the manuscript. This work was supported by the NCL Foundation, the Alzheimer Forschung Initiative e.V. (grant number 18014), an Alzheimer’s Association Grant through the AD Strategic Fund (ADSF-21-831226-C), the BMBF through JPND PMG-AD and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy; ID 390857198). A.P.L. was supported by the N.I.H. (R01 NS063967). S.H. was supported by the Croatian Science Foundation (project IP-2016-06-2799). S.A.S. was supported by a LMU Excellence Program for Clinician Scientists, Verum-Stiftung and the Ara Parseghian Medical Research Foundation.
Open Access funding enabled and organized by Projekt DEAL.
M.Str. is Joint Chief Editor of the Journal of Neurology, Editor in Chief of Frontiers of Neuro-otology and Section Editor of F1000. He has received speaker’s honoraria from Abbott, Actelion, Auris Medical, Biogen, Eisai, Grünenthal, GSK, Henning Pharma, Interacoustics, Merck, MSD, Otometrics, Pierre-Fabre, TEVA, UCB. He is a shareholder of IntraBio. He acts as a consultant for Abbott, Actelion, AurisMedical, Heel, IntraBio, and Sensorion. T.B.E. served as a consultant for Actelion and Sanofi-Genzyme. All other authors declare that they have no competing interests.
Peer review information Nature Communications thanks Serge Rivest and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
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Colombo, A., Dinkel, L., Müller, S.A. et al. Loss of NPC1 enhances phagocytic uptake and impairs lipid trafficking in microglia. Nat Commun 12, 1158 (2021). https://doi.org/10.1038/s41467-021-21428-5
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