title: Integrating genomic data from high-throughput studies with computational modeling reveals differences in the molecular basis of hyposalivation between type 1 and type 2 diabetes.
abstract: OBJECTIVE
  Both type 1 and type 2 diabetes are accompanied by a high prevalence of hyposalivation (decreased salivary secretion), resulting in oral tissue damage. However, the molecular basis for the hyposalivation is yet unknown. Identifying genes and proteins that account for diabetes-related hyposalivation will help understanding the basis for this condition and identifying disease biomarkers in saliva.
  
  
  METHODS
  We integrated genomic data from 110 high-throughput studies with computational modeling, to explore the relationship between diabetes and salivary glands on a genomic scale.
  
  
  RESULTS
  A significant overlap exists between genes that are altered in both types of diabetes and genes that are expressed in salivary glands; 87 type 1 diabetes and 34 type 2 diabetes associated genes are also common to salivary glands. However, the overlap between these genes is not significant.
  
  
  CONCLUSIONS
  Type 1 and type 2 diabetes associated genes are involved in the salivary secretion process, but mostly at different parts of it. This suggests that type 1 and type 2 diabetes impair salivary secretion by affecting different processes in the salivary tissue.
  
  
  CONCLUSIONS
  The genomic characteristics of Type 1 and type 2 diabetes may explain differences in salivary gland tissues morphology and saliva composition in people with diabetes, and suggest candidate proteins for diabetes salivary biomarkers.
authors.affiliation: The Goodman faculty of life sciences, Nanotechnology building, Bar Ilan University, 52900, Ramat Gan, Israel.
authors.forename: Nili
authors.identifier: http://orcid.org/0000-0003-4885-8594
authors.initials: N
authors.lastname: Tickotsky
authors.affiliation: The Goodman faculty of life sciences, Nanotechnology building, Bar Ilan University, 52900, Ramat Gan, Israel. Nili@ofranlab.org.
authors.forename: Yanay
authors.initials: Y
authors.lastname: Ofran
mesh_terms: D015415:Biomarkers / Q000032:analysis; D019295:Computational Biology; D003922:Diabetes Mellitus, Type 1 / Q000150:complications* / Q000235:genetics*; D003924:Diabetes Mellitus, Type 2 / Q000150:complications* / Q000235:genetics*; D015870:Gene Expression; D055106:Genome-Wide Association Study; D023281:Genomics; D005838:Genotype; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D010641:Phenotype; D014987:Xerostomia / Q000209:etiology* / Q000235:genetics*
chemical_list: D015415:Biomarkers
keywords: Computational biology; Diabetes; Genome; Salivary glands; Salivation; Xerostomia