Funded Scholarship
Document Type
Article
Publication Date
2025
Publication Title
Frontiers in Neuroscience
Abstract
Substance use disorders (SUDs) are heterogeneous diseases with
overlapping biological mechanisms and often present with co-occurring disease,
such as cardiovascular disease (CVD). Gene networks associated with SUDs
also implicate additional biological pathways and may be used to stratify
disease subtypes. Node and edge arrangements within gene networks impact
comparisons between classes of disease, and connectivity metrics, such as
those focused on degrees, betweenness, and centrality, do not yield sufficient
discernment of disease network classification. Comparatively, the graph
spectrum’s use of comprehensive information facilitates hypothesis testing
and inter-disease clustering by using a larger range of graph characteristics.
By adding a connectivity-based method, network rankings of similarity and
relationships are explored between classes of SUDs and CVD.
Recommended Citation
Castaneda, E., Chesler, E., & Baker, E. (2025). Spectral divergence prioritizes key classes, genes, and pathways shared between substance use disorders and cardiovascular disease. Frontiers in Neuroscience, 19, 1572243. https://doi.org/10.3389/fnins.2025.1572243
