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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

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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.

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Authors and Affiliations

  1. The Goodman faculty of life sciences, Nanotechnology building, Bar Ilan University, 52900, Ramat Gan, Israel

    Nili Tickotsky & Yanay Ofran

Authors
  1. Nili Tickotsky
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  2. Yanay Ofran
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Correspondence to Yanay Ofran.

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The authors declare that they have no conflict of interest.

Funding

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

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Tickotsky, N., Ofran, Y. 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. Clin Oral Invest 22, 151–159 (2018). https://doi.org/10.1007/s00784-017-2094-2

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  • DOI: https://doi.org/10.1007/s00784-017-2094-2

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