Distinct Clinical Phenotypes in KIF1A-Associated Neurological Disorders Result from Different Amino Acid Substitutions at the Same Residue in KIF1A

KIF1A is a neuron-specific kinesin motor responsible for intracellular transport along axons. Pathogenic <i>KIF1A</i> mutations cause KIF1A-associated neurological disorders (KAND), a spectrum of severe neurodevelopmental and neurodegenerative conditions. While individual <i>KIF1A</i> mutations have been studied, how different substitutions at the same residue affect motor function and disease progression remains unclear. Here, we systematically examine the molecular and clinical consequences of mutations at three key motor domain residues-R216, R254, and R307-using single-molecule motility assays and genotype-phenotype associations. We find that different substitutions at the same residue produce distinct molecular phenotypes, and that homodimeric mutant motor properties correlate with developmental outcomes. In addition, we present the first analysis of heterodimeric KIF1A motors-mimicking the heterozygous context in patients-and demonstrate that while heterodimers retain substantial motility, their properties are less predictive of clinical severity than homodimers. These results highlight the finely tuned mechanochemical properties of KIF1A and suggest that dysfunctional homodimers may disproportionately drive the diverse clinical phenotypes observed in KAND. By establishing residue-specific genotype-phenotype relationships, this work provides fundamental insights into KAND pathogenesis and informs targeted therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2025-05-02
DOI
https://doi.org/10.3390/biom15050656
Citations
9
Primary Topic
Microtubule and mitosis dynamics
Type
article
Field-Weighted Citation Impact
10.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinct Clinical Phenotypes in KIF1A-Associated Neurological Disorders Result from Different Amino Acid Substitutions at the Same Residue in KIF1A

Lu Rao, Wendy K. Chung, Wenxing Li, Arne Gennerich et al.
9 citations
Biomolecules
Microtubule and mitosis dynamics
10.36
article

Distinct Clinical Phenotypes in KIF1A-Associated Neurological Disorders Result from Different Amino Acid Substitutions at the Same Residue in KIF1A

Lu Rao, Wendy K. Chung, Wenxing Li, Arne Gennerich, Yufeng Shen
article en
9 citations

Abstract

KIF1A is a neuron-specific kinesin motor responsible for intracellular transport along axons. Pathogenic <i>KIF1A</i> mutations cause KIF1A-associated neurological disorders (KAND), a spectrum of severe neurodevelopmental and neurodegenerative conditions. While individual <i>KIF1A</i> mutations have been studied, how different substitutions at the same residue affect motor function and disease progression remains unclear. Here, we systematically examine the molecular and clinical consequences of mutations at three key motor domain residues-R216, R254, and R307-using single-molecule motility assays and genotype-phenotype associations. We find that different substitutions at the same residue produce distinct molecular phenotypes, and that homodimeric mutant motor properties correlate with developmental outcomes. In addition, we present the first analysis of heterodimeric KIF1A motors-mimicking the heterozygous context in patients-and demonstrate that while heterodimers retain substantial motility, their properties are less predictive of clinical severity than homodimers. These results highlight the finely tuned mechanochemical properties of KIF1A and suggest that dysfunctional homodimers may disproportionately drive the diverse clinical phenotypes observed in KAND. By establishing residue-specific genotype-phenotype relationships, this work provides fundamental insights into KAND pathogenesis and informs targeted therapeutic strategies.

BiomoleculesVol. 15(5)
Boston Children's Hospital (US), Albert Einstein College of Medicine (US), Harvard University (US), Columbia University Irving Medical Center (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 1%
Microtubule and mitosis dynamics
10.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.