Search bioRxiv⌕ Search

bioRxiv · 10.1101/2024.08.02.606317

Bezafibrate treatment rescues neurodevelopmental and neurodegenerative defects in 3D cortical organoid model of MAPT frontotemporal dementia

Abstract

INTRODUCTIONThe intronic MAPT mutation IVS10+16 is linked to familiar frontotemporal dementia, causing hyperphosphorylation and accumulation of tau protein, resulting in synaptic and neuronal loss and neuroinflammation in patients. This mutation disrupts MAPT gene splicing, increasing exon 10 inclusion and leading to an imbalance of 3R and 4R Tau isoforms. METHODSWe generated patterned cortical organoids from isogenic control and mutant human iPSC lines. Nanostring gene expression analysis immunofluorescence and calcium imaging recordings were used to study the impact of the MAPT IVS10+16 mutation on neuronal development and function. RESULTSTau mutant cortical organoids showed altered mitochondrial function and gene expression related to neuronal development, with synaptic markers and neuronal activity reduction. Bezafibrate treatment, which restored mitochondrial content, rescued synaptic functionality and tau physiology. DISCUSSIONThese findings suggest that targeting mitochondrial function with bezafibrate could potentially reverse tau-induced neurodevelopmental deficits, highlighting its therapeutic potential for tauopathies like FTD. HIGLIGHTSO_LIThe IVS 10+16 MAPT mutation significantly disrupts cortical differentiation and synaptic maturation, evidenced by downregulated genes associated with synapses and neuronal development. C_LIO_LITau-mutant cortical organoids exhibit mitochondrial dysfunction, with fewer and smaller mitochondria alongside with tau hyperphosphorylation and aggregation, which further contribute to neuronal damage and disease progression. C_LIO_LITreatment with bezafibrate effectively normalizes mitochondrial parameters, enhances neuronal integrity and synaptic maturation, and restores network functionality, showcasing its promise as a therapeutic strategy for tauopathies. C_LIO_LIThe 3D in vitro disease model used in this study proves valuable for studying tauopathies and testing new drugs, effectively mimicking key aspects of tau-related neurodegeneration. C_LI RESEARCH IN CONTEXTO_LISystematic Review: We searched PubMed, Google Scholar, and Web of Science for studies on the MAPT IVS10+16 mutations impact on tauopathies, focusing on neuronal development, synaptic function, and mitochondrial involvement. Key terms included "MAPT IVS10+16 mutation," "tauopathy," "neuronal development," "synaptic function," and "mitochondrial function." C_LIO_LIInterpretation: Our findings reveal that the MAPT IVS10+16 mutation disrupts mitochondrial function altering gene expression related to neuronal development, synaptic structures, impairing neuronal and glial maturation. Bezafibrate treatment restored mitochondrial content, synaptic functionality, and tau physiology in mutant-derived cortical organoids, suggesting it as a potential therapeutic strategy for tauopathies. C_LIO_LIFuture Directions: Future research should investigate the molecular mechanisms underlying the bezafibrates therapeutic effect and its long-term efficacy and safety in vivo, in humanized mouse models. Additionally, the possibility to combine bezafibrate with other therapeutic agents used to treat tauopathies will be worth to assess. C_LI

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Cordella, F., Mautone, L., Tondo, L., Salerno, D., Ghirga, S., Parente, E., Romeo, M. A., Cirone, M., Bezzi, P., Di Angelantonio, S.. 2024-08-03. Bezafibrate treatment rescues neurodevelopmental and neurodegenerative defects in 3D cortical organoid model of MAPT frontotemporal dementia. https://doi.org/10.1101/2024.08.02.606317

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

KEEP EXPLORING

Related preprints

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗