Plasma protein absolute quantification by nano-LC Q-TOF UDMSE for clinical biomarker verification

Authors

DOI:

https://doi.org/10.15386/cjmed-880

Keywords:

plasma, proteomics, absolute quantification, nano-LC Q-TOF UDMSe

Abstract

Background and aims. Proteome-based biomarker studies are targeting proteins that could serve as diagnostic, prognosis, and prediction molecules. In the clinical routine, immunoassays are currently used for the absolute quantification of such biomarkers, with the major limitation that only one molecule can be targeted per assay. The aim of our study was to test a mass spectrometry based absolute quantification method for the verification of plasma protein sets which might serve as reliable biomarker panels for the clinical practice.

Methods. Six EDTA plasma samples were analyzed after tryptic digestion using a high throughput data independent acquisition nano-LC Q-TOF UDMSE proteomics approach. Synthetic Escherichia coli standard peptides were spiked in each sample for the absolute quantification. Data analysis was performed using ProgenesisQI v2.0 software (Waters Corporation).

Results. Our method ensured absolute quantification of 242 non redundant plasma proteins in a single run analysis. The dynamic range covered was 105.86% were represented by classical plasma proteins. The overall median coefficient of variation was 0.36, while a set of 63 proteins was found to be highly stable. Absolute protein concentrations strongly correlated with values reviewed in the literature.

Conclusions. Nano-LC Q-TOF UDMSE proteomic analysis can be used for a simple and rapid determination of absolute amounts of plasma proteins. A large number of plasma proteins could be analyzed, while a wide dynamic range was covered with low coefficient of variation at protein level. The method proved to be a reliable tool for the quantification of protein panel for biomarker verification in the clinical practice.

Author Biographies

Maria Ilies, 1.Department of Pharmaceutical Analysis, Faculty of Pharmacy, Iuliu Hațieganu University of Medicine and Pharmacy, no. 6 Louis Pasteur st., 400349, Cluj-Napoca, Romania 2. Department of Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, F.-L.-Jahn-Str. 15a, 17475 Greifswald, Germany

1) Department of Pharmaceutical Analysis, Faculty of Pharmacy, Iuliu Hațieganu University of Medicine and Pharmacy, no. 6 Louis Pasteur st., 400349, Cluj-Napoca, Romania
2) Department of Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, F.-L.-Jahn-Str. 15a, 17475 Greifswald, Germany

Cristina Adela Iuga, 1) Department of Pharmaceutical Analysis, Faculty of Pharmacy, Iuliu Hațieganu University of Medicine and Pharmacy, no. 6 Louis Pasteur st., 400349, Cluj-Napoca, Romania 3) Department of Proteomics and Metabolomics, MedFuture Research Center for Advanced Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, no. 4-6 Louis Pasteur st., 400349, Cluj-Napoca, Romania

1) Department of Pharmaceutical Analysis, Faculty of Pharmacy, Iuliu Hațieganu University of Medicine and Pharmacy, no. 6 Louis Pasteur st., 400349, Cluj-Napoca, Romania
3) Department of Proteomics and Metabolomics, MedFuture Research Center for Advanced Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, no. 4-6 Louis Pasteur st., 400349, Cluj-Napoca, Romania

Felicia Loghin, 4) Department of Toxicology, Faculty of Pharmacy Iuliu Hațieganu University of Medicine and Pharmacy, no. 6 Louis Pasteur st., 400349, Cluj-Napoca, Romania

4) Department of Toxicology, Faculty of Pharmacy Iuliu Hațieganu University of Medicine and Pharmacy, no. 6 Louis Pasteur st., 400349, Cluj-Napoca, Romania

Vishnu Mukund Dhople, 2) Department of Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, F.-L.-Jahn-Str. 15a, 17475 Greifswald, Germany

2) Department of Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, F.-L.-Jahn-Str. 15a, 17475 Greifswald, Germany

Elke Hammer, 2) Department of Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, F.-L.-Jahn-Str. 15a, 17475 Greifswald, Germany 5) DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany

2) Department of Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, F.-L.-Jahn-Str. 15a, 17475 Greifswald, Germany
5) DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany

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Published

2017-10-30

How to Cite

1.
Ilies M, Iuga CA, Loghin F, Dhople VM, Hammer E. Plasma protein absolute quantification by nano-LC Q-TOF UDMSE for clinical biomarker verification. Med Pharm Rep [Internet]. 2017 Oct. 30 [cited 2025 Oct. 6];90(4):425-30. Available from: https://medpharmareports.com/index.php/mpr/article/view/880

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Section

Original Research