Review highlights key aspects of C-peptide analysis and classification in diabetes, suggesting implications for treatment responses.
Purpose of review Diabetes mellitus affects one in nine adults worldwide, with timely diagnosis and accurate classification being essential for patient management. C-peptide is an important biomarker in the diagnostic workup. As diabetes sub-typing and treatment options continue to evolve, this review will highlight the important aspects of C-peptide analysis and interpretation and additionally, evaluate its current and emerging clinical role. Recent findings Several sample types and testing strategies such as fasting, random and stimulated C-peptide are available which are reviewed here. Random nonfasting C-peptide is convenient to perform in clinic and performs well compared to gold standard testing for classification of severe insulin deficiency and insulin dependence. C-peptide measurement may also be useful for classifying type 2 diabetes subtypes and in predicting response to treatment. Despite ongoing efforts towards standardization of C-peptide, variation still exists between analytical methods. Summary This review summarizes recent literature relating to preanalytical, analytical and clinical aspects of C-peptide testing. Future research in this area may build on the role of C-peptide in predicting glycaemic control, clinical complications and response to pharmacotherapy.
No takes yet. Share an insight, caveat, or question.
Briggs et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: