Elsevier

Clinica Chimica Acta

Volume 412, Issues 23–24, 20 November 2011, Pages 2052-2057
Clinica Chimica Acta

Detection of macro-creatine kinase and macroamylase by polyethylene glycol precipitation and ultrafiltration methods

https://doi.org/10.1016/j.cca.2011.01.023Get rights and content

Abstract

Background

Macroenzymes may cause elevations in serum enzyme activity. Macroenzymes are not common; however their detection is important because they cause diagnostic confusion and therapeutic errors.

Methods

We analyzed 2 of the most prevalent macroenzymes in the literature, macro-creatine kinase (macro-CK) and macroamylase, using 2 methods for detection, polyethylene glycol (PEG) precipitation and ultrafiltration (UF). Enzyme measurements were made using a Roche Modular Analytics P analyzer. Imprecision was assessed using quality control material. We evaluated 125 samples from apparently healthy subjects to establish reference intervals. For macro-CK comparison, 94 samples with activities > 200 U/l were analyzed with both PEG precipitation and UF and compared to electrophoresis. PEG precipitation and UF were compared for macroamylase detection using 130 samples with amylase activities > 110 U/l.

Results

UF was more precise and demonstrated narrower reference intervals for both analytes. PEG precipitation and UF were able to detect true cases of macro-CK with overall agreement with electrophoresis of 79.8% and 80.9%, respectively. Both methods detected the same number of ‘positive’ macroamylase samples; however PEG precipitation resulted in a greater number of ‘indeterminate’ cases.

Conclusion

This is the first report where UF has been shown useful for the detection of both macro-CK and macroamylase.

Introduction

Macroenzymes typically have higher molecular masses than the corresponding enzymes that are normally found in serum [1], [2]. The prevalence of macroenzymes is not well defined. Macroenzymes are generally considered rare, affecting only 1.5–2.5% of the population [3]. The most common types of macroenzymes documented in the literature are macro-creatine kinase (macro-CK) and macroamylase, which was the first macroenzyme identified in 1964 [4]. The prevalence of macro-CK was reported to be 0.5–2.3% and 3.7% for type 1 and 2 respectively [5]. Macroamylasemia is reported to occur in 2.5% of hyperamylasemic patients and 1% of the general population [6]. Several different methods have been employed to detect macroenzymes such as: electrophoresis, gel-filtration chromatography (GFC), and polyethylene glycol (PEG) precipitation [4], [5], [6], [7], [8], [9], [10], [11], [12]. Ultrafiltration (UF) is another method that has been used for the detection of macroprolactin [13], [14], [15], [16], [17]. A literature search failed to identify any publication using UF to detect macroenzymes. The method of choice for detecting macro-CK is electrophoresis which has previously been compared to PEG precipitation [7]. However, electrophoresis is not recommended for use in the detection of macroamylase because of the large variability in migration patterns [6]. PEG precipitation has been recommended as a good alternative to GFC for the detection of macroamylase [4], [9], [11], [12]. In the present study, we determined the performance characteristics of PEG precipitation and UF for the detection of macro-CK and macroamylase. Both methods are easy to perform and can accommodate a large number of samples for clinical studies. Our goal was to validate the usefulness of PEG precipitation and UF by comparing the 2 methods to electrophoresis for macro-CK detection. We then analyzed the use of both methods for the detection of macroamylase. Specifically, we wanted to validate the use of UF for the detection of macro-CK and macroamylase.

Section snippets

Methods

Imprecision, reference intervals and method comparison were assessed for the detection of macro-CK and macroamylase using both PEG precipitation and UF methodologies. Enzymatic activity, both before and after removal of macroenzymes, was measured on a Roche Modular Analytics P analyzer (Roche Diagnostics, Indianapolis, IN). Assays were performed according to manufacturer's instructions. Study specimens were de-identified and stored at − 20 °C or colder prior to analysis. The Institutional Review

Results

Imprecision for the neat, PEG supernatant and ultrafiltrate sample types were determined for both amylase and CK (Table 1). Total CVs of the neat sample were 1.6% and 1.7% for amylase and CK, respectively. The total CVs for the PEG supernatant were 5.1% and 3.8% with mean recoveries of 64.3% and 53.4% for amylase and CK, respectively. The UF methodology was more precise for both amylase and CK with total CVs of 2.9% and 2.8% and mean recoveries of 107.2% and 90.4%, respectively. The total

Discussion

Published studies on macroenzyme detection are sparse. The few that are available continually stress the importance of identifying macroenzymes because they can cause diagnostic confusion and therapeutic errors [1], [2], [3], [7], [12], [18]. For the present study we chose to evaluate both PEG precipitation and UF as methods for the detection of macro-CK and macroamylase. Both methods are easy to perform and allow a large number of samples to be run with minimal labor. UF demonstrated better

Acknowledgements

This study was supported in part by the ARUP Institute for Clinical and Experimental Pathology. We gratefully acknowledge Rachel Mortensen for performing CK isoenzyme electrophoresis testing.

References (22)

  • D.F. Davidson et al.

    Macroenzyme detection by polyethylene glycol precipitation

    Ann Clin Biochem

    (2003)
  • Cited by (18)

    • Ethanol determination using automated analyzers: limitations and pitfalls

      2019, Accurate Results in the Clinical Laboratory: A Guide to Error Detection and Correction, Second Edition
    • Alcohol Determination Using Automated Analyzers. Limitations and Pitfalls

      2013, Accurate Results in the Clinical Laboratory: A Guide to Error Detection and Correction
    View all citing articles on Scopus
    View full text