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Optimization of a Screening Method for Macroprolactinemia.

Wei Yang1, Zhen Guo2, Yanping Zhou3

  • 1Department of Clinical Laboratory, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, 310014, China.

Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
|May 14, 2021
PubMed
Summary
This summary is machine-generated.

An optimized method using polyethylene glycol (PEG) effectively screens for macroprolactinemia by precipitating macroprolactin (macroPRL) while retaining free prolactin (freePRL). This improved assay offers greater accuracy and stability for freePRL detection compared to traditional methods.

Keywords:
Gel filtration chromatographyMacroprolactinMacroprolactinemiaPolyethylene glycolPrecipitationProlactin

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Area of Science:

  • Clinical Chemistry
  • Biochemical Assays
  • Endocrinology

Background:

  • Macroprolactinemia, characterized by the presence of macroprolactin (macroPRL), can interfere with accurate free prolactin (freePRL) measurements.
  • Traditional screening methods for macroprolactinemia may lack sufficient accuracy and efficiency in detecting freePRL levels.

Purpose of the Study:

  • To optimize a screening method for macroprolactinemia.
  • To enhance the accuracy of free prolactin (freePRL) detection in patients with suspected macroprolactinemia.

Main Methods:

  • Overall efficiency was determined by the product of immunoglobulin G (IgG) precipitation and freePRL recovery rates to optimize polyethylene glycol (PEG) concentration.
  • An optimized macroprolactinemia screening method was developed and validated against gel filtration chromatography (GFC) as the gold standard.
  • Sensitivity, specificity, accuracy, and precision of the optimized method were compared to traditional methods.

Main Results:

  • The optimized method using 20% PEG6000 achieved 96.7% sensitivity and 100% specificity for macroprolactinemia screening, with macroPRL precipitation and freePRL retention.
  • FreePRL concentrations measured by the optimized method showed strong correlation with GFC (p > 0.05) and were significantly higher than those from the traditional method (p < 0.05).
  • The optimized method demonstrated lower relative deviation (-7.0%) and improved precision (CVs 1.88-2.55%) compared to the traditional method (-21.4%, CVs 1.93-2.81%).

Conclusions:

  • The optimized method using 20% PEG6000 effectively precipitates macroPRL and retains freePRL, offering a simpler, more accurate, and stable approach for macroprolactinemia screening.
  • This optimized assay significantly improves the quantitative detection of freePRL in clinical settings.
  • The enhanced accuracy and stability make the optimized method a valuable tool for diagnosing and managing hyperprolactinemia.