Subtypes of Fatty Acidopathy in Parkinson’s Disease: A Mechanistic and Precision Medicine Perspective
The conceptual evolution of Parkinson’s disease (PD) from a protein-centric disorder to a metabolic disease has gained substantial momentum. While the lipidopathy framework encompasses dysregulation across all lipid classes, the emerging fatty acidopathy concept offers a mechanistically tractable refinement, focusing on fatty acid side-chain dyshomeostasis as a critical determinant of α-synuclein conformation and aggregation. This short review argues that fatty acidopathy is a mechanistically defined, conditionally applicable subset within the broader lipidopathy framework, with relevance that varies across PD subtypes. We examine the hierarchical relationship between these concepts, the evidence supporting fatty acidopathy in α-synuclein-driven PD, and the therapeutic implications of targeting upstream metabolic dysregulation. We critically discuss the translational challenges of current lipidomic approaches, including distinguishing disease-specific from state-specific metabolic signals, defining pathological trigger points, and validating biomarkers across diverse populations. We acknowledge that current evidence remains largely associative and that rigorous, stratified trial designs are required to bridge the preclinical-to-clinical gap. The fatty acidopathy framework offers a conceptual foundation for future subtype-specific therapeutic development in PD.
Authors
- Yun‐Cheng Wu (ORCID: https://orcid.org/0000-0003-4581-6524)
- Eng‐King Tan (ORCID: https://orcid.org/0000-0003-2977-9743)
- Zhidong Zhou (ORCID: https://orcid.org/0000-0003-0251-4163)
- Danhong Wu (ORCID: https://orcid.org/0000-0002-1955-4340)
Institutions
- Singapore General Hospital (SG)
- Ruijin Hospital (CN)
- Duke-NUS Medical School (SG)
- National Neuroscience Institute (SG)
Publication Details
- Journal
- Cellular and Molecular Neurobiology
- Published
- 2026-09-01
- DOI
- https://doi.org/10.1007/s10571-026-01813-8
- Primary Topic
- Fatty Acid Research and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- SingHealth
- National Natural Science Foundation of China
- National Medical Research Council