Related Experiment Videos
A sensitive and reliable method for assaying true human insulin without interaction with human proinsulin-like
L D Monti1, E P Sandoli, V C Phan
1Department of Medicine, Istituto Scientifico H. San Raffaele, Milan, Italy.
Acta Diabetologica
|March 1, 1995
Summary
A new assay (MEIA) accurately measures true insulin, distinguishing it from proinsulin-like molecules. This method offers a more precise assessment of insulin levels compared to traditional radioimmunoassay (RIA), especially in various patient groups.
Area of Science:
- Biochemistry
- Endocrinology
- Clinical Diagnostics
Background:
- Accurate insulin measurement is crucial for diagnosing and managing metabolic disorders.
- Traditional radioimmunoassays (RIA) often cross-react with proinsulin-like molecules, leading to overestimated insulin levels.
- Distinguishing true insulin from proinsulin is essential for precise clinical assessment.
Purpose of the Study:
- To evaluate a high-capacity immunoassay (MEIA) for accurate true insulin determination.
- To compare the MEIA method with a commercially available radioimmunoassay (RIA).
- To quantify proinsulin-like molecules by comparing MEIA and RIA results.
Main Methods:
- Comparison of MEIA and RIA for insulin determination in human blood samples.
- Quantification of proinsulin-like molecules by subtracting MEIA-measured insulin from RIA-measured total insulin.
- Analysis of samples from normal subjects, obese individuals, islet transplant recipients, and insulinoma patients.
Main Results:
- MEIA provided precise, automated, and time-saving true insulin measurements.
- Both MEIA and RIA accurately quantified human insulin molecules.
- Proinsulin-like molecules constituted 10%-16% of total insulin in normal subjects, 50% in obese and transplanted patients, and 70% in insulinoma patients.
Conclusions:
- MEIA is a valuable tool for routine, accurate true insulin determination.
- The study highlights significant overestimation of insulin by RIA due to proinsulin-like molecules.
- Accurate insulin quantification using MEIA has implications for understanding insulin dynamics in various physiological and pathological states.