4.5 Article

Immunocapture and LC-MS/MS for selective quantification and differentiation of the isozymes of the biomarker neuron-specific enolase in serum

Publisher

ELSEVIER
DOI: 10.1016/j.jchromb.2013.04.010

Keywords

Neuron-specific enolase; Signature peptide; Validation; Serum; Immunocapture

Ask authors/readers for more resources

NSE, neuron-specific enolase, is an important biomarker for several pathological conditions including small cell lung cancer (SCLC). The current paper presents an LC-MS/MS-based approach for quantification of NSE in serum at both reference levels and elevated levels. The analytical approach utilizes selective sample preparation by immunoextraction of all forms of NSE (alpha gamma, gamma gamma, and gamma) followed by tryptic digestion, and separation and detection by LC-SRM-MS. The quantification of NSE is performed through a signature peptide specific for the gamma-subunit of NSE (tryptic peptide gamma 16; ELPLYR). The method is validated and shows satisfactory results (linearity r(2) >0.999 (range 5-500 ng/mL), intra-day precision <13% RSD, and accuracy >95%), and has a limit of quantification (of 38 pg/mL; S/N = 10) significantly lower than endogenous levels of healthy subjects. In addition, the method simultaneously allows determination of the alpha gamma-heterodimer through a signature peptide specific for the alpha-subunit (tryptic peptide alpha 12; TIAPALVSK). The method was successfully applied to serum samples from healthy blood donors. In all samples from healthy blood donors both the alpha- and the gamma-subunit was detected (S/N > 200 for both signature peptides), confirming the presence of the alpha gamma-heterodimer in these sample. The level in one of them was determined to be (n = 5) 7.3 +/- 0.45 ng/mL of gamma-subunit of NSE. (C) 2013 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available