Obtaining a Reliable Diagnostic Biomarker for Diabetes Mellitus by Standardizing Salivary Glucose Measurements

Biomolecules. 2022 Sep 21;12(10):1335. doi: 10.3390/biom12101335.

Abstract

Salivary glucose is frequently utilized in diabetes mellitus (DM), and it might be proposed as a potential biomarker candidate for DM, as it is non-invasive and cost-effective and achieves adequate diagnostic performance for DM patients. However, salivary glucose levels may change under specific conditions. It is consequently essential to maintain a consistent strategy for measuring saliva, taking into account the possibility of external factors influencing salivary glucose levels. In this study, we analyzed salivary glucose levels under different handling conditions and donor-dependent factors, including age, interdiurnal variations, and collection and processing methods. A structured questionnaire was used to determine the symptoms and predisposing factors of DM. The glucose oxidase peroxidase method was used to estimate glucose levels in the blood and saliva of people in a fasting state. The aim of this study is to investigate the effect of such conditions on salivary glucose levels. We found that these extraneous variables should be taken into account in the future when salivary glucose is used as a predictive biomarker for DM.

Keywords: diabetes mellitus; saliva; salivary glucose; sample collection; standardizing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Blood Glucose*
  • Case-Control Studies
  • Diabetes Mellitus, Type 2* / diagnosis
  • Glucose
  • Glucose Oxidase
  • Humans
  • Peroxidases

Substances

  • Blood Glucose
  • Glucose Oxidase
  • Glucose
  • Biomarkers
  • Peroxidases

Grants and funding

This project was supported by the Guangdong Basic and Applied Basic Research Foundation (Grant No. 2020B1515120082), the Innovation Commission of Science and Technology of Shen-zhen Municipality (Grant No. JCYJ20190807144001746, Grant No. JCYJ20200109150605937, Grant No. JSGG20191129114422849).