Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2015 May 14;10:39–45. doi: 10.4137/BMI.S22177

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© 2015 the author(s), publisher and licensee Libertas Academica Ltd.

This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.

PMC Copyright notice

T2DM-specific circulating protein markers. (A) Literature-based search of the PubMed database for identifying T2DM-specific serum proteins using the MeSH terms insulin resistance (P₁) or glucose intolerance (P₂), or insulin secreting cells (P₃) and each of the 10 secondary sets is shown. [S₁: lipids/blood, S₂: obesity, S₃: adipokines, S₄: antibodies and globulins, S₅: glycoproteins, S₆: blood, coagulation factors, S₇: inflammation mediators, S₈: oxidative stress, S₉: endothelium, and S₁₀: iron-binding proteins]. The S_1–10 × (P₁ + P₂ + P₃) constitute the 10 common sets C₁–C₁₀. (B) Flow diagram of the search strategy for identification of T2DM-associated circulating protein biomarkers reported in saliva. The PubMed database was searched for saliva (MeSH) and blood proteins, the cohort being filtered for humans and English language. The articles in the retrieved cohort were searched for circulating biomarkers identified in (A) and manually screened for quantitation in saliva. The publication cohort of T2DM-specific circulating protein biomarkers reported in saliva was further divided into two groups based on articles reporting quantitation in T2DM saliva (diabetic saliva) or other conditions (nondiabetic saliva).

T2DM-specific circulating protein markers. (A) Literature-based search of the PubMed database for identifying T2DM-specific serum proteins using the MeSH terms insulin resistance (P₁) or glucose intolerance (P₂), or insulin secreting cells (P₃) and each of the 10 secondary sets is shown. [S₁: lipids/blood, S₂: obesity, S₃: adipokines, S₄: antibodies and globulins, S₅: glycoproteins, S₆: blood, coagulation factors, S₇: inflammation mediators, S₈: oxidative stress, S₉: endothelium, and S₁₀: iron-binding proteins]. The S_1–10 × (P₁ + P₂ + P₃) constitute the 10 common sets C₁–C₁₀. (B) Flow diagram of the search strategy for identification of T2DM-associated circulating protein biomarkers reported in saliva. The PubMed database was searched for saliva (MeSH) and blood proteins, the cohort being filtered for humans and English language. The articles in the retrieved cohort were searched for circulating biomarkers identified in (A) and manually screened for quantitation in saliva. The publication cohort of T2DM-specific circulating protein biomarkers reported in saliva was further divided into two groups based on articles reporting quantitation in T2DM saliva (diabetic saliva) or other conditions (nondiabetic saliva).