Hemolysis Affects C-Peptide Immunoassay

Zhi-Qi Wu1, Ju Lu1, Hua-Guo Xu2

  • 1Department of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.

Insights

Hemolysis significantly impacts C-peptide measurements, affecting its accuracy as a marker for insulin secretion. An individualized correction equation was developed to ensure accurate C-peptide results from hemolyzed samples.

Area of Science:

  • Clinical Chemistry
  • Biomarker Analysis
  • Diabetes Mellitus Research

Background:

  • C-peptide is a crucial marker for insulin secretion and is implicated in coronary artery disease (CAD) development in type 2 diabetes mellitus (T2DM).
  • Previous research suggested C-peptide assays are unaffected by hemolysis, but routine practice revealed otherwise.
  • Hemolysis was observed to negatively interfere with C-peptide measurements in laboratory settings.

Purpose of the Study:

  • To investigate the impact of hemolysis on C-peptide assay accuracy.
  • To develop and validate an individualized correction equation for C-peptide measurements in hemolyzed samples.
  • To improve the reliability of C-peptide testing in routine clinical practice.

Main Methods:

  • Studied hemolysis effects by adding lysed red blood cells to serum samples.
  • Derived an individualized correction equation based on hemolysis parameters.
  • Evaluated the derived equation's performance using artificially hemolyzed samples.

Main Results:

  • C-peptide concentration demonstrated a decrease with increased hemolysis degree and duration.
  • An individualized correction equation (C-Pcorr = C-Pmeas /(0.969-1.5Hbserum/plasma -5.394 ×10-5 Time)) was established.
  • The equation effectively corrects for C-peptide measurement bias caused by hemolysis.

Conclusions:

  • Hemolysis adversely affects C-peptide measurements.
  • The developed individualized correction equation enables accurate reporting of C-peptide in hemolyzed samples across various hemolysis degrees.
  • Implementing this correction enhances diagnostic accuracy and prevents suboptimal treatment decisions.
Abstract