Back

Rare variants alter mitochondrial lipid homeostasis and neuronal excitability in PD patient-derived dopaminergic neurons

Esposito, T.; Carrillo, F.; Fortunato, G.; Coppola, A.; Ghirimoldi, M.; Okechukwu, N. G.; Borrini, V. F.; Khoso, S.; Di Lorenzo, A.; Marciano, M.; Giurin, G.; D'Amato, F.; Iazzetta, M. R.; D'Aniello, C.; Fiorenzano, A.; Nutile, T.; Licastro, D.; Pietracupa, S.; Modugno, N.; Martinello, K.; Fucile, S.; Manfredi, M.; Fico, A.

2026-04-10 neuroscience
10.64898/2026.04.10.717646 bioRxiv
Show abstract

Parkinsons disease (PD) exhibits substantial genetic heterogeneity, yet how combinations of rare variants converge on disease-relevant cellular mechanisms remains unclear. Here, we generated human induced pluripotent stem cell-derived dopaminergic neurons from PD patients carrying rare variants in recently implicated genes and performed integrated electrophysiological, proteomic, lipidomic, and genetic analyses. Patient-derived neurons showed reduced membrane capacitance and altered action potential firing, indicating impaired intrinsic excitability and synaptic dysfunction, with marked variability across genetic backgrounds. Multi-omics profiling revealed dysregulation of mitochondrial function, glycolysis, and oxidative phosphorylation, accompanied by extensive lipid remodeling, including increased fatty acids, acylcarnitines, and sphingolipids, and reduced gangliosides. These alterations were more pronounced in neurons harboring specific variant combinations in KIF21B, SLC6A3, HMOX2, TMEM175, and AIMP2. Integrative analyses uncovered coordinated protein-lipid changes linking mitochondrial dysfunction and membrane homeostasis. Notably, Calpastatin and CXCR4 were consistently dysregulated across PD neurons. Genetic association analyses in independent cohorts identified PD-associated variants in genes encoding dysregulated proteins, supporting the functional relevance of these pathways. Overall, our results define convergent and variant-specific mechanisms underlying PD and highlight candidate biomarkers and therapeutic targets.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Brain
154 papers in training set
Top 0.1%
22.5%
2
npj Parkinson's Disease
89 papers in training set
Top 0.2%
14.3%
3
Nature Communications
4913 papers in training set
Top 26%
6.8%
4
Acta Neuropathologica
51 papers in training set
Top 0.1%
6.3%
5
Journal of Clinical Investigation
164 papers in training set
Top 1%
3.6%
50% of probability mass above
6
Neurobiology of Disease
134 papers in training set
Top 2%
3.6%
7
Movement Disorders
62 papers in training set
Top 0.5%
3.6%
8
Cell Reports
1338 papers in training set
Top 15%
3.6%
9
Molecular Neurodegeneration
49 papers in training set
Top 0.2%
3.1%
10
Science Advances
1098 papers in training set
Top 11%
2.4%
11
Annals of Neurology
57 papers in training set
Top 1.0%
1.9%
12
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 30%
1.9%
13
Advanced Science
249 papers in training set
Top 10%
1.8%
14
Science Translational Medicine
111 papers in training set
Top 3%
1.7%
15
Alzheimer's & Dementia
143 papers in training set
Top 2%
1.5%
16
JCI Insight
241 papers in training set
Top 5%
1.2%
17
Nature Aging
51 papers in training set
Top 1%
1.1%
18
EMBO Molecular Medicine
85 papers in training set
Top 3%
0.9%
19
eLife
5422 papers in training set
Top 56%
0.8%
20
Human Molecular Genetics
130 papers in training set
Top 3%
0.7%
21
Experimental Neurology
57 papers in training set
Top 1%
0.7%
22
Cell Reports Medicine
140 papers in training set
Top 9%
0.7%
23
Cell Death & Disease
126 papers in training set
Top 3%
0.6%