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Related Experiment Video

Updated: Sep 19, 2025

Ex Vivo Red Blood Cell Hemolysis Assay for the Evaluation of pH-responsive Endosomolytic Agents for Cytosolic Delivery of Biomacromolecular Drugs
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Routine data analysis for moderate hemolysis interference correction in neuron specific enolase quantification.

Leyre Ruiz1, Tomás Munoz2, Alvaro González3,4

  • 1Service of Biochemistry, Clínica Universidad de Navarra, Pamplona, Spain.

Biochemia Medica
|June 16, 2025
PubMed
Summary
This summary is machine-generated.

A new formula corrects serum neuron specific enolase (NSE) levels affected by moderate hemolysis. This method uses paired patient samples, reducing the need for repeat blood draws and improving diagnostic accuracy for neuroendocrine tumors.

Keywords:
NSEcorrection formulahemolysisinterference

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Area of Science:

  • Clinical Chemistry
  • Biomarker Analysis
  • Laboratory Medicine

Background:

  • Serum neuron specific enolase (NSE) is a critical biomarker for neuroendocrine tumors and central nervous system damage.
  • Erythrocyte-associated NSE can interfere with accurate quantification due to hemolysis, a common issue in blood sample processing.
  • Existing methods for addressing hemolysis often involve artificial sample manipulation, which may not reflect true patient conditions.

Purpose of the Study:

  • To develop and validate a novel correction formula for serum NSE concentrations affected by moderate *in vitro* hemolysis.
  • To establish a method utilizing paired, serial patient samples, avoiding artificial hemolysate doping.
  • To minimize the clinical bias in NSE measurements caused by hemolysis, thereby potentially avoiding sample redraws.

Main Methods:

  • Retrospective analysis of patient samples with paired NSE and hemolytic index (HI) measurements within 24 hours.
  • Development of a correction formula (NSEcalc = NSE1 - (0.354 x (HI1 - HI2)) - 0.162) using a development cohort (N=41).
  • Validation of the formula on a separate cohort (N=26) to assess corrected NSE concentrations (NSEcalc).

Main Results:

  • The developed formula significantly reduced the bias in NSE measurements, with corrected values (NSEcalc) showing no significant difference from non-hemolyzed samples (NSE2, P = 0.291).
  • Uncorrected hemolyzed samples (NSE1) exhibited a median relative bias of 22.5%, exceeding the allowable error limit in 84% of cases.
  • Corrected values (NSEcalc) demonstrated a reduced relative bias of 8.3%, with only 23% exceeding the error limit, and a bias of -0.4 µg/L compared to NSE2.

Conclusions:

  • The developed correction formula provides clinically significant accuracy for serum NSE measurements affected by moderate hemolysis.
  • This approach minimizes the need for repeat blood sample collection, improving laboratory efficiency and patient convenience.
  • The methodology offers a potential framework for correcting other biomarker concentrations susceptible to *in vitro* hemolysis.