Molecular Landscape of Tourette's Disorder.
Joanna WidomskaWard De WitteJan K BuitelaarJeffrey Colm GlennonGeert PoelmansPublished in: International journal of molecular sciences (2023)
Tourette's disorder (TD) is a highly heritable childhood-onset neurodevelopmental disorder and is caused by a complex interplay of multiple genetic and environmental factors. Yet, the molecular mechanisms underlying the disorder remain largely elusive. In this study, we used the available omics data to compile a list of TD candidate genes, and we subsequently conducted tissue/cell type specificity and functional enrichment analyses of this list. Using genomic data, we also investigated genetic sharing between TD and blood and cerebrospinal fluid (CSF) metabolite levels. Lastly, we built a molecular landscape of TD through integrating the results from these analyses with an extensive literature search to identify the interactions between the TD candidate genes/proteins and metabolites. We found evidence for an enriched expression of the TD candidate genes in four brain regions and the pituitary. The functional enrichment analyses implicated two pathways ('cAMP-mediated signaling' and 'Endocannabinoid Neuronal Synapse Pathway') and multiple biological functions related to brain development and synaptic transmission in TD etiology. Furthermore, we found genetic sharing between TD and the blood and CSF levels of 39 metabolites. The landscape of TD not only provides insights into the (altered) molecular processes that underlie the disease but, through the identification of potential drug targets (such as FLT3, NAALAD2, CX3CL1-CX3CR1, OPRM1, and HRH2), it also yields clues for developing novel TD treatments.
Keyphrases
- cerebrospinal fluid
- single cell
- genome wide
- systematic review
- copy number
- ms ms
- healthcare
- gene expression
- white matter
- electronic health record
- big data
- acute myeloid leukemia
- brain injury
- mass spectrometry
- high resolution
- climate change
- deep learning
- adverse drug
- tyrosine kinase
- atomic force microscopy
- bioinformatics analysis
- protein kinase