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

Nili Tickotsky, Yanay Ofran

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Objectives: 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. Materials and 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. Clinical relevance: 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.

Original languageEnglish
Pages (from-to)151-159
Number of pages9
JournalClinical Oral Investigations
Volume22
Issue number1
Early online date3 Mar 2017
DOIs
StatePublished - 1 Jan 2018

Bibliographical note

Publisher Copyright:
© 2017, Springer-Verlag Berlin Heidelberg.

Funding

The work was supported by the Goodman Faculty of the Bar Ilan University, Ramat- Gan, Israel.

FundersFunder number
Bar-Ilan University

    Keywords

    • Computational biology
    • Diabetes
    • Genome
    • Salivary glands
    • Salivation
    • Xerostomia

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