Proteomic profiling of serum from patients with tuberculosis

Sang Hoon Song, Minje Han, Yang Seon Choi, Ki Soon Dan, Man Gil Yang, Junghan Song, Sung Sup Park, Jaeho Lee

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Background: Effective treatment and monitoring of tuberculosis (TB) requires biomarkers that can be easily evaluated in blood samples. The aim of this study was to analyze the serum proteome of patients with TB and to identify protein biomarkers for TB. Methods: Serum samples from 26 TB patients and 31 controls were analyzed by using nano-flow ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry in data-independent mode, and protein and peptide amounts were calculated by using a label-free quantitative approach. The generated data were analyzed by using principal component analysis and partial least squares discriminant analysis, a multivariate statistical method. Results: Of more than 500 proteins identified, alpha-1-antitrypsin was the most discriminative, which was 4.4 times higher in TB patients than in controls. Peptides from alpha-1-antitrypsin and antithrombin III increased in TB patients and showed a high variable importance in the projection scores and coefficient in partial least square discriminant analysis. Conclusions: Sera from patients with TB had higher alpha-1-antitrypsin levels than sera from control participants. Alpha-1-antitrypsin levels may aid in the diagnosis of TB.

Original languageEnglish
Pages (from-to)345-353
Number of pages9
JournalAnnals of Laboratory Medicine
Volume34
Issue number5
DOIs
StatePublished - 1 Jan 2014

Fingerprint

alpha 1-Antitrypsin
Proteomics
Tuberculosis
Biomarkers
Discriminant analysis
Serum
Peptides
Proteins
Antithrombin III
Liquid chromatography
Discriminant Analysis
Proteome
Least-Squares Analysis
Principal component analysis
Mass spectrometry
Labels
Statistical methods
Blood
Monitoring
Principal Component Analysis

Keywords

  • Alpha-1-antitrypsin
  • Proteomics
  • Tuberculosis

Cite this

Song, Sang Hoon ; Han, Minje ; Choi, Yang Seon ; Dan, Ki Soon ; Yang, Man Gil ; Song, Junghan ; Park, Sung Sup ; Lee, Jaeho. / Proteomic profiling of serum from patients with tuberculosis. In: Annals of Laboratory Medicine. 2014 ; Vol. 34, No. 5. pp. 345-353.
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Proteomic profiling of serum from patients with tuberculosis. / Song, Sang Hoon; Han, Minje; Choi, Yang Seon; Dan, Ki Soon; Yang, Man Gil; Song, Junghan; Park, Sung Sup; Lee, Jaeho.

In: Annals of Laboratory Medicine, Vol. 34, No. 5, 01.01.2014, p. 345-353.

Research output: Contribution to journalArticle

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AU - Dan, Ki Soon

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AU - Lee, Jaeho

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N2 - Background: Effective treatment and monitoring of tuberculosis (TB) requires biomarkers that can be easily evaluated in blood samples. The aim of this study was to analyze the serum proteome of patients with TB and to identify protein biomarkers for TB. Methods: Serum samples from 26 TB patients and 31 controls were analyzed by using nano-flow ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry in data-independent mode, and protein and peptide amounts were calculated by using a label-free quantitative approach. The generated data were analyzed by using principal component analysis and partial least squares discriminant analysis, a multivariate statistical method. Results: Of more than 500 proteins identified, alpha-1-antitrypsin was the most discriminative, which was 4.4 times higher in TB patients than in controls. Peptides from alpha-1-antitrypsin and antithrombin III increased in TB patients and showed a high variable importance in the projection scores and coefficient in partial least square discriminant analysis. Conclusions: Sera from patients with TB had higher alpha-1-antitrypsin levels than sera from control participants. Alpha-1-antitrypsin levels may aid in the diagnosis of TB.

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