Indian Journal of Public Health Research & Development
  • Year: 2019
  • Volume: 10
  • Issue: 11

Salivary Secretory Proteins-Unveiling Genetic Polymorphism and Diseases

  • Author:
  • Usha Subbiah1,, Harini Venkata Subbiah2, Athira Ajith2, Sonaa Elango3
  • Total Page Count: 4
  • Page Number: 2822 to 2825

1Associate Professor and Head, Human Genetics Laboratory, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India

2Research Assistant, Human Genetics Laboratory, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India

3Professor, Department of Life Science, School of Natural Sciences, University of Suwon, Wau-ri, Bongdam-eup, Hwaseong-si, Gyeonggi-do, Republic of Korea

*Corresponding Author: Dr. Usha Subbiah, Human Genetics Laboratory, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research, Chennai-600 100, Tamil Nadu, India, Tel: +91 8248707203, Fax: +91 044 22460631, e-mail: ushat75@yahoo.com

Online published on 27 March, 2020.

Abstract

Saliva, the “mirror of the body, ” is an ideal non-invasive source of complex genetic information. The complexity of the salivary peptidome is mainly due to the high number of genetic polymorphisms. This review shows an association between the genetic polymorphisms of salivary secretory proteins and the endangerment of several diseases. Different secretory protein single nucleotide polymorphisms whose genetic positions are related to oral and other diseases are listed from SNPedia deposits and tracked using a variety of techniques. Besides being circulating salivary biomarkers, single nucleotide polymorphisms of salivary secretory proteins acts as a possible genetic susceptibility factor and aids in the early detection and prevention of various oral and systemic diseases including cancer and rare syndromes in a quick and non-invasive manner. This would pave the way for the development of array-based technologies using saliva sample for genetic analysis.

Keywords

Single nucleotide polymorphism, Saliva, Secretary proteins, Oral diseases