Publication: Pathway Network Analyses for Autism Reveal Multisystem Involvement, Major Overlaps with Other Diseases and Convergence upon MAPK and Calcium Signaling
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Date
2016
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Public Library of Science
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Citation
Wen, Ya, Mohamad J. Alshikho, and Martha R. Herbert. 2016. “Pathway Network Analyses for Autism Reveal Multisystem Involvement, Major Overlaps with Other Diseases and Convergence upon MAPK and Calcium Signaling.” PLoS ONE 11 (4): e0153329. doi:10.1371/journal.pone.0153329. http://dx.doi.org/10.1371/journal.pone.0153329.
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Abstract
We used established databases in standard ways to systematically characterize gene ontologies, pathways and functional linkages in the large set of genes now associated with autism spectrum disorders (ASDs). These conditions are particularly challenging—they lack clear pathognomonic biological markers, they involve great heterogeneity across multiple levels (genes, systemic biological and brain characteristics, and nuances of behavioral manifestations)—and yet everyone with this diagnosis meets the same defining behavioral criteria. Using the human gene list from Simons Foundation Autism Research Initiative (SFARI) we performed gene set enrichment analysis with the Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Database, and then derived a pathway network from pathway-pathway functional interactions again in reference to KEGG. Through identifying the GO (Gene Ontology) groups in which SFARI genes were enriched, mapping the coherence between pathways and GO groups, and ranking the relative strengths of representation of pathway network components, we 1) identified 10 disease-associated and 30 function-associated pathways 2) revealed calcium signaling pathway and neuroactive ligand-receptor interaction as the most enriched, statistically significant pathways from the enrichment analysis, 3) showed calcium signaling pathways and MAPK signaling pathway to be interactive hubs with other pathways and also to be involved with pervasively present biological processes, 4) found convergent indications that the process “calcium-PRC (protein kinase C)-Ras-Raf-MAPK/ERK” is likely a major contributor to ASD pathophysiology, and 5) noted that perturbations associated with KEGG’s category of environmental information processing were common. These findings support the idea that ASD-associated genes may contribute not only to core features of ASD themselves but also to vulnerability to other chronic and systemic problems potentially including cancer, metabolic conditions and heart diseases. ASDs may thus arise, or emerge, from underlying vulnerabilities related to pleiotropic genes associated with pervasively important molecular mechanisms, vulnerability to environmental input and multiple systemic co-morbidities.
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Keywords
Biology and life sciences, Cell biology, Signal transduction, Cell signaling, Signaling cascades, MAPK signaling cascades, Biology and Life Sciences, Biophysics, Ion Channels, Ligand-Gated Ion Channels, Physical Sciences, Physics, Physiology, Electrophysiology, Medicine and Health Sciences, Neurophysiology, Neuroscience, Biochemistry, Proteins, Cell Biology, Signal Transduction, Cell Signaling, Calcium Signaling, Computational Biology, Genome Analysis, Genetic Networks, Genetics, Genomics, Computer and Information Sciences, Network Analysis, Neurochemistry, Neurotransmitters, Glutamate, Gene Ontologies, Signaling Networks, Gamma-Aminobutyric Acid
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