Limits...
Proteomic profiling of serum from patients with tuberculosis.

Song SH, Han M, Choi YS, Dan KS, Yang MG, Song J, Park SS, Lee JH - Ann Lab Med (2014)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Clinical Proteomics Laboratory, Seoul National University Hospital, Seoul, Korea. ; Biomedical Research Institute and Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea.

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.

Show MeSH

Related in: MedlinePlus

PLS-DA of proteins from tuberculosis patients and controls. (A) The tuberculosis patients and controls were separated on the score scatter plot, with some outliers and overlapping scores. Almost all of the proteins clustered around the diagonal line of the plot. Proteins (black) close to the points representing the two groups (red) show the strongest correlation. (B) Proteins such as zinc alpha 2 glycoprotein (P25311), transthyretin (P02766), prothrombin (P00734), alpha-1-acid glycoprotein (P02763), alpha-1-antitrypsin (P01009), and complement component C6 flags precursor (P13671) mainly contributed to the separation of tuberculosis patients and controls.Abbreviations: PLS-DA, partial least square-discriminant analysis; C, controls; P, tuberculosis patients.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4151002&req=5

Figure 1: PLS-DA of proteins from tuberculosis patients and controls. (A) The tuberculosis patients and controls were separated on the score scatter plot, with some outliers and overlapping scores. Almost all of the proteins clustered around the diagonal line of the plot. Proteins (black) close to the points representing the two groups (red) show the strongest correlation. (B) Proteins such as zinc alpha 2 glycoprotein (P25311), transthyretin (P02766), prothrombin (P00734), alpha-1-acid glycoprotein (P02763), alpha-1-antitrypsin (P01009), and complement component C6 flags precursor (P13671) mainly contributed to the separation of tuberculosis patients and controls.Abbreviations: PLS-DA, partial least square-discriminant analysis; C, controls; P, tuberculosis patients.

Mentions: When the identified proteins from the serum samples of TB patients and controls were analyzed with PLS-DA, 55.4% of the variation could be discriminated and 49.5% of the variation could be predicted after cross-validation with two components. As shown in the score scatter plot and loading scatter plot from PLS-DA (Fig. 1), the proteins closest to TB patients and controls (discriminative) were zinc alpha 2 glycoprotein (P25311), transthyretin (P02766), prothrombin (P00734), alpha-1-acid glycoprotein (P02763), alpha-1-antitrypsin (P01009), and complement component C6 flags precursor (P13671).


Proteomic profiling of serum from patients with tuberculosis.

Song SH, Han M, Choi YS, Dan KS, Yang MG, Song J, Park SS, Lee JH - Ann Lab Med (2014)

PLS-DA of proteins from tuberculosis patients and controls. (A) The tuberculosis patients and controls were separated on the score scatter plot, with some outliers and overlapping scores. Almost all of the proteins clustered around the diagonal line of the plot. Proteins (black) close to the points representing the two groups (red) show the strongest correlation. (B) Proteins such as zinc alpha 2 glycoprotein (P25311), transthyretin (P02766), prothrombin (P00734), alpha-1-acid glycoprotein (P02763), alpha-1-antitrypsin (P01009), and complement component C6 flags precursor (P13671) mainly contributed to the separation of tuberculosis patients and controls.Abbreviations: PLS-DA, partial least square-discriminant analysis; C, controls; P, tuberculosis patients.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4151002&req=5

Figure 1: PLS-DA of proteins from tuberculosis patients and controls. (A) The tuberculosis patients and controls were separated on the score scatter plot, with some outliers and overlapping scores. Almost all of the proteins clustered around the diagonal line of the plot. Proteins (black) close to the points representing the two groups (red) show the strongest correlation. (B) Proteins such as zinc alpha 2 glycoprotein (P25311), transthyretin (P02766), prothrombin (P00734), alpha-1-acid glycoprotein (P02763), alpha-1-antitrypsin (P01009), and complement component C6 flags precursor (P13671) mainly contributed to the separation of tuberculosis patients and controls.Abbreviations: PLS-DA, partial least square-discriminant analysis; C, controls; P, tuberculosis patients.
Mentions: When the identified proteins from the serum samples of TB patients and controls were analyzed with PLS-DA, 55.4% of the variation could be discriminated and 49.5% of the variation could be predicted after cross-validation with two components. As shown in the score scatter plot and loading scatter plot from PLS-DA (Fig. 1), the proteins closest to TB patients and controls (discriminative) were zinc alpha 2 glycoprotein (P25311), transthyretin (P02766), prothrombin (P00734), alpha-1-acid glycoprotein (P02763), alpha-1-antitrypsin (P01009), and complement component C6 flags precursor (P13671).

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: Clinical Proteomics Laboratory, Seoul National University Hospital, Seoul, Korea. ; Biomedical Research Institute and Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea.

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.

Show MeSH
Related in: MedlinePlus