Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.01.14.699478

Pathogenic KIF1A variants differentially disrupt axonal trafficking and impede synaptic development

Abstract

The nervous system relies on billions of neurons connected through trillions of synapses to support a vast array of vital functions. Despite the critical importance of this synaptic network, the cellular mechanisms dictating synapse formation during human neurodevelopment remain unclear. Long-distance trafficking of synaptic components is critical for both synaptogenesis and the maintenance of synaptic function across lifespan. The microtubule motor KIF1A has a highly conserved role in the trafficking of synaptic vesicle precursors, while mutations in KIF1A are causal for the neurodevelopmental and neurodegenerative disease KIF1A-Associated Neurological Disorder (KAND). Here, we employ isogenic human induced pluripotent stem cells (iPSCs) gene-edited to express pathogenic KIF1A variants to assess how disparate mutations alter synaptic trafficking and function. We compared the effects of both loss-of-function and gain-of-function mutations on KIF1A motor activity. We found that both null (p.C92*) and hypoactive (p.P305L) mutations induce delayed neurite outgrowth, mislocalization of synaptic cargos, and decreased synapse density. Conversely, the hyperactive KIF1A mutation (p.R350G) supports neurite outgrowth but leads to aberrant motility of synaptic vesicle precursors along the axon. Further, live imaging reveals that hyperactive KIF1A induces deficits in the microtubule-dependent patterning of presynaptic components along the developing axon, suggesting a failure to respond to cytoskeletal cues directing cargo delivery. Functional analysis of neuronal activity via multi-electrode arrays reveals delayed synaptic maturation in loss-of-function mutations (p.P305L, p.C92*). In contrast, the hyperactive p.R350G mutation exhibits accelerated activity maturation and possible excitotoxicity. Together, these data provide insights detailing how pathogenic variants in KIF1A causative for KAND exhibit distinct effects at the molecular level that lead to significant downstream deficits in synaptic function in human neurons.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Aiken, J., Borland, C., Marotta, N., Prosser, B., Holzbaur, E.. 2026-01-14. Pathogenic KIF1A variants differentially disrupt axonal trafficking and impede synaptic development. https://doi.org/10.64898/2026.01.14.699478

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

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗