Abstract

A simple mass spectrometric approach for the discovery and validation of biomarkers in human plasma was developed by targeting nonglycosylated tryptic peptides adjacent to glycosylation sites in an N-linked glycoprotein, one of the most important biomarkers for early detection, prognoses, and disease therapies. The discovery and validation of novel biomarkers requires complex sample pretreatment steps, such as depletion of highly abundant proteins, enrichment of desired proteins, or the development of new antibodies. The current study exploited the steric hindrance of glycan units in N-linked glycoproteins, which significantly affects the efficiency of proteolytic digestion if an enzymatically active amino acid is adjacent to the N-linked glycosylation site. Proteolytic digestion then results in quantitatively different peptide products in accordance with the degree of glycosylation. The effect of glycan steric hindrance on tryptic digestion was first demonstrated using alpha-1-acid glycoprotein (AGP) as a model compound versus deglycosylated alpha-1-acid glycoprotein. Second, nonglycosylated tryptic peptide biomarkers, which generally show much higher sensitivity in mass spectrometric analyses than their glycosylated counterparts, were quantified in human hepatocellular carcinoma plasma using a label-free method with no need for N-linked glycoprotein enrichment. Finally, the method was validated using a multiple reaction monitoring analysis, demonstrating that the newly discovered nonglycosylated tryptic peptide targets were present at different levels in normal and hepatocellular carcinoma plasmas. The area under the receiver operating characteristic curve generated through analyses of nonglycosylated tryptic peptide from vitronectin precursor protein was 0.978, the highest observed in a group of patients with hepatocellular carcinoma. This work provides a targeted means of discovering and validating nonglycosylated tryptic peptides as biomarkers in human plasma, without the need for complex enrichment processes or expensive antibody preparations.

Highlights

  • From the ‡Division of Mass Spectrometry, Korea Basic Science Institute, 804-1 Yangcheong-Ri, Ochang-Myun, Cheongwon-Gun 363-883, Republic of Korea; §Department of Chemistry, Yonsei University, Seoul 120-749, Republic of Korea; ¶Graduate School of Science and Technology, Chungnam National University, Daejon, 305333, Republic of Korea; ʈYonsei Proteome Research Center and Biomedical Proteome Research Center, Department of Biochemistry, Yonsei University, Seoul 120-749, Republic of Korea

  • Steric hindrance from the glycan group(s) in N-linked glycoproteins has been thought to significantly affect the efficiency of proteolytic digestion if the enzymatically active amino acid is adjacent to the N-linked glycosylation site, resulting in quantitatively different peptide products in accordance with the degree of glycosylation

  • The peak area ratios of specific nonglycosylated tryptic peptides that originate from sites adjacent to N-linked glycosylation sites are expected to be lower than those of other peptides

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Summary

EXPERIMENTAL PROCEDURES

Materials—AGP standard protein (source: human), glucose-6phosphate dehydrogenase (G6PD) standard protein (source: yeast), [Glu1]-fibrinopeptide B (GFP), dithiothreitol, iodoacetamide, and formic acid were purchased from Sigma-Aldrich For MRM quantification, stable isotope-labeled peptide mixtures in each plasma sample were spiked prior to LC/MS/MS analyses. Digested plasma samples were dissolved in mobile phase A, and an internal standard of digested G6PD was added to each plasma sample prior to nano-LC/ESI-MS/MS analyses. Nano-LC-ESI-MS/MS for Validation of Selected Biomarker Candidate Peptides: MRM Quantification by Online Nano-LC-MS—MRM experiments were performed with a nanoACQUITY UPLC system (Waters Corp.) and a TSQ quantum ultra EMR triple-quadrupole mass spectrometer (Thermo Finnigan, San Jose, CA) equipped with a nanospray source. Statistical Analyses—For quantitative comparisons of the label-free plasma samples, the results of exact mass and retention time (EMRTs) from the PLGS analysis were exported to an Excel spreadsheet (Microsoft, Redmond, WA), and all data were normalized using a linear regression analysis.

RESULTS AND DISCUSSION
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CONCLUSIONS
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