Biomarkers for Type 2 Diabetes: From Glycemic Indices to Cardiac Risk Stratification
As type 2 diabetes prevalence increases globally, biomarkers serve critical roles across the disease continuum from prediction and diagnosis to monitoring and cardiovascular risk stratification. While glycemic indices remain diagnostic cornerstones, the addition of high-sensitivity troponin and natriuretic peptides significantly improves cardiovascular risk model performance beyond traditional clinical features. Better standardization of insulin assays and novel biomarkers reflecting underlying pathogenic mechanisms of dysglycemia are needed for earlier identification and mechanism-based therapeutic targeting.
The original study
Use of Biomarkers in Predicting the Onset, Monitoring the Progression, and Risk Stratification for Patients with Type 2 Diabetes Mellitus.
- Authors
- Scirica BM
- Journal
- Clinical chemistry
- Type
- Journal Article, Review
- PMID
- 28062618
Original abstract
BACKGROUND: As the worldwide prevalence of type 2 diabetes mellitus (T2DM) increases, it is even more important to develop cost-effective methods to predict and diagnose the onset of diabetes, monitor progression, and risk stratify patients in terms of subsequent cardiovascular and diabetes complications. CONTENT: Nonlaboratory clinical risk scores based on risk factors and anthropomorphic data can help identify patients at greatest risk of developing diabetes, but glycemic indices (hemoglobin A1c, fasting plasma glucose, and oral glucose tolerance tests) are the cornerstones for diagnosis, and the basis for monitoring therapy. Although family history is a strong predictor of T2DM, only small populations of patients carry clearly identifiable genetic mutations. Better modalities for detection of insulin resistance would improve earlier identification of dysglycemia and guide effective therapy based on therapeutic mechanisms of action, but improved standardization of insulin assays will be required. Although clinical risk models can stratify patients for subsequent cardiovascular risk, the addition of cardiac biomarkers, in particular, high-sensitivity troponin and natriuretic peptide provide, significantly improves model performance and risk stratification. CONCLUSIONS: Much more research, prospectively planned and with clear treatment implications, is needed to define novel biomarkers that better identify the underlying pathogenic etiologies of dysglycemia. When compared with traditional risk features, biomarkers provide greater discrimination of future risk, and the integration of cardiac biomarkers should be considered part of standard risk stratification in patients with T2DM.