Related Experiment Video
Updated: Apr 7, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
PDK4 as a metabolic biomarker of chronic hydrocephalus
Robbie Clarke1, Payton Villers1, Chloe Bills1
1Department of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.
Background:
Chronic hydrocephalus (CH) is a heterogeneous neurological disorder characterized by persistent ventricular enlargement and neurovascular dysfunction in the aging brain. Despite its clinical relevance, genetically anchored RNA biomarkers reflecting CH-associated metabolic and stress-related pathology remain poorly defined.
Methods:
We performed bulk RNA sequencing of postmortem caudate nucleus tissue from individuals with CH and age-matched neurologically normal controls. Disease-associated transcriptional programs were identified using principal component analysis (PCA), unsupervised hierarchical clustering, and gene set enrichment analysis (GSEA). Key candidate transcripts were validated by RT-PCR. Comparative genomic analyses across mouse, rat, pig, and human genomes examined transcript length, chromosomal positioning, and nucleotide composition.
Results:
PCA of the top 1,000 most variable transcripts demonstrated robust separation between CH and controls. Analysis of transcripts ranked 1,001-2,000 independently reproduced disease segregation, indicating distinct transcriptional programs. GSEA revealed significant enrichment of xenobiotic metabolism and oxidative stress pathways, with pyruvate dehydrogenase kinase 4 (PDK4) emerging as the top-ranked gene among ∼40,000 transcripts. RT-PCR confirmed robust PDK4 upregulation. Comparative genomics showed conserved transcript length but increased telomeric proximity and A+T content in humans.
Conclusion:
PDK4: is identified as a prominent RNA marker of chronic hydrocephalus in the elderly, providing a neurogenomic foundation for future fluid-based RNA biomarker development.
Related Concept Videos
Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test

