Screening for potential serum-based proteomic biomarkers for human type 2 diabetes mellitus using MALDI-TOF MS

Background Type 2 diabetes mellitus (T2DM) is a complex, pandemic disease contributing towards the global burden of health issues. To date, there are no simple clinical tests for the early detection of T2DM. Method To identify potential peptide biomarkers for such applications, 406 sera of T2DM patients (n = 206) and healthy controls (n = 200) were analyzed using MALDI-TOF MS with a cross-sectional case-control design. Result Six peptides (peaks m/z 1452.9, 1692.8, 1946.0, 2115.1, 2211.0 and 4053.6) were identified as candidate biomarkers for T2DM. A diagnostic model constructed with the 6 peptides was able to discriminate T2DM patients from healthy controls, with an accuracy of 82.20%, sensitivity of 82.50%, and specificity of 77.80% in the validation set. Peptide peaks m/z 1452.9 and 1692.8 were identified as fragments of the complement C3f, while peptide peaks m/z 1946.0, 2115.0, and 2211.0 were identified as the fragments of kininogen 1 isoform 1 precursor. Conclusion This study reinforces proteomic analyses as a potential technique for defining significant clinical peptide biomarkers, providing a simple and convenient diagnostic model for T2DM in clinical examination. This article is protected by copyright. All rights reserved