Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.01.09.632210

Glucocerebrosidase Deficiency Dysregulates Human Astrocyte Lipid Metabolism

Abstract

BackgroundDeficiency in the lysosomal enzyme, glucocerebrosidase (GCase), caused by mutations in the GBA1 gene, is the most common genetic risk factor for Parkinsons disease (PD). However, the consequence of reduced enzyme activity within neural cell sub-types remains ambiguous. Thus, the purpose of this study was to define the effect of GCase deficiency specifically in human astrocytes and test their non-cell autonomous influence upon dopaminergic neurons in a midbrain organoid model of PD. MethodsWild-type (GBA+/+), N370S mutant (GBA+/N370), and GBA1 knockout (GBA-/-) astrocytes were rapidly and directly induced from human pluripotent stem cells (hPSCs) via transcription factor-based differentiation. These astrocytes were extensively characterized for GCase-dependent phenotypes using immunocytochemistry, organoid coculture, enzymatic assays, lipid tracers, transcriptomics, and lipidomics. ResultshPSC lines were rapidly induced into astrocytes and enzymatic assays confirmed that GBA-/- astrocytes completely lacked GCase activity, while GBA+/N370 preserved partial activity. GBA-/-, but not GBA+/N370S, exhibited lysosomal alterations, with enlarged lysosomes and glucosylceramide (GlcCer) accumulation. GCase deficiency also exacerbated TNF-alpha-induced secretion of the inflammatory biomarker, CCL2. In midbrain organoids, GCase activity did not modulate the ability of astrocytes to support dopamine neuron production and survival. Lipidomics revealed a GBA-/--specific increase in sphingomyelin, and a decrease of triglycerides. Direct rescue of GCase activity with GBA1 mRNA treatment reduced GlcCer accumulation. Astrocytes exhibited a relatively high uptake and storage of fatty acid analogs as lipid droplets, in comparison to neurons, and this process was impaired in GBA-/- astrocytes. Lastly, GBA-/- astrocytes accumulate neuronal membrane-derived GlcCer. These findings highlight the critical role of astrocytic GCase in lipid metabolism and its neuronal influence. ConclusionGCase deficiency does not inhibit human astrocyte differentiation nor cause a non-cell autonomous neurotoxic effect upon dopaminergic neurons within midbrain organoids. However, it does elicit enhanced inflammatory reactivity, accumulation of GlcCer, and a distinct lipidomic profile, indicating impaired lipid metabolism in astrocytes that can dysregulate neuron-astrocyte intercellular signaling. Overall, these insights underscore dysfunctional astrocyte lipid metabolism as a high priority therapeutic target in Parkinsons disease and related neurodegenerative disorders. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=170 SRC="FIGDIR/small/632210v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@1b1138forg.highwire.dtl.DTLVardef@7b26aborg.highwire.dtl.DTLVardef@127b950org.highwire.dtl.DTLVardef@f74a59_HPS_FORMAT_FIGEXP M_FIG C_FIG

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Tahanis, A., Nguyen, T., Oji, S., Martinez de Kraatz, M., Jayasi, J., Anderson, M., Krencik, R.. 2025-01-13. Glucocerebrosidase Deficiency Dysregulates Human Astrocyte Lipid Metabolism. https://doi.org/10.1101/2025.01.09.632210

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Attention Across Scales: From Individual Variation to Social Hierarchies and Brain Networks in Semi-Free-Ranging Macaques

Attention is a fundamental brain function supporting perception, decision-making, and social behavior, and its dysfunction profoundly impairs daily life. It is both dynamic and stable, varying across observations and individuals, changing across the lifespan, and being shaped by social and environmental experience. Yet capturing this complexity remains a central challenge in neuroscience. Here, we integrated longitudinal behavioral assessments of semi-free-ranging macaques living in naturalistic social groups with resting-state fMRI. We quantified performance across days, ages, and social hierarchies and related it to intrinsic brain organization. Distinct attentional phenotypes emerged, including individuals with reduced attentional control. Performance followed an inverted-U lifespan trajectory, improving from childhood to adulthood before declining. Social status modulated attentional performance. Critically, nonlinear lifespan trajectories and associations with individual attentional differences were most clearly expressed in frontoparietal connectivity. Together, these findings reveal how sustained attention is organized across scales, providing a biological framework for its individual diversity, social modulation, and neural basis.

neuroscience↗

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide increasingly precise control over cortical activity, it remains unclear whether artificially evoked activity can reproduce the information content of naturally evoked visual representations. Here we establish a quantitative framework for evaluating visual encoding strategies by decoding cortical responses evoked by natural vision and patterned optogenetic stimulation. We developed a novel dual-modal paradigm in awake mice to bridge the gap between endogenous photostimulation and artificial network driving. By co-expressing the high-performance calcium indicator GCaMP6s and the red-shifted, ultra-sensitive opsin rsChRmine-oScarlet in the primary visual cortex (V1), we successfully translated dynamic natural movie frames into patterned, spatiotemporal optogenetic stimulation. Quantitative comparisons of macro-scale dynamics demonstrated that this patterned optogenetic injection evokes cortical states highly comparable and representationally aligned with those driven by actual visual photostimulation. To systematically evaluate the fidelity of these responses, we developed STAR, a deep learning model featuring spatial and temporal attention mechanisms, and successfully reconstructed the frames of natural movies from V1 signals under both experimental modalities. Collectively, our results demonstrate that complex sensory information can be both naturally encoded and synthetically injected into V1 circuits with high decoding fidelity. This work provides an empirical and computational proof-of-concept for intelligent, closed-loop biomimetic encoders, establishing a robust framework for next-generation cortical visual neuroprostheses and bidirectional brain-machine interfaces.

neuroscience↗

Why Is Spontaneous Blink Timing Informative? An Adaptive Scheduling Perspective

Spontaneous eye blinks have long been linked to cognitive processing, yet how task demands shape blink timing and its relationship to behavioral performance remains unclear. We examined spontaneous blink behavior in 576 adults performing two variants of the Continuous Performance Task (CPT). Blink occurrence and timing were most strongly modulated by the experimental condition in the more demanding CPT-AX task, whereas their association with response time was stronger in the CPT-X task, where more consistent blink timing predicted faster responses. This dissociation suggests that task structure changes not only blink behavior but also the behavioral relevance of blink timing. These findings are consistent with an adaptive scheduling account of spontaneous blinking and provide a conceptual framework for understanding when and why blink timing contains chronometric information about ongoing cognition.

neuroscience↗