Serum sCD14, PGLYRP2 and FGA as potential biomarkers for multidrug‐resistant tuberculosis based on data‐independent acquisition and targeted proteomics

Multidrug‐resistant tuberculosis (MDR‐TB), defined as tuberculosis (TB) resistant to at least isoniazid and rifampicin, is a major concern of TB control worldwide. However, the diagnosis of MDR‐TB remains a huge challenge to its prevention and control. To identify new diagnostic methods for MDR‐TB,...

Full description

Saved in:
Bibliographic Details
Published in:Journal of cellular and molecular medicine 2020-11, Vol.24 (21), p.12537-12549
Main Authors: Chen, Jing, Han, Yu‐Shuai, Yi, Wen‐Jing, Huang, Huai, Li, Zhi‐Bin, Shi, Li‐Ying, Wei, Li‐Liang, Yu, Yi, Jiang, Ting‐Ting, Li, Ji‐Cheng
Format: Article
Language:English
Subjects:
Acids
Adult
Age
Bacterial Proteins - metabolism
biomarker
Biomarkers
Biomarkers - blood
Carrier Proteins - blood
Coagulation
data‐independent acquisition
Drug resistance
Extracellular matrix
Female
FGA
Fibrinogen - metabolism
Gender
Gene Ontology
Hospitals
Humans
Isoniazid
Laboratories
Lipopolysaccharide Receptors - blood
Male
Mass Spectrometry
Mass spectroscopy
Mortality
Multidrug resistant organisms
multidrug‐resistant tuberculosis
Original
parallel reaction monitoring
Pathogens
Patients
Peptides
PGLYRP2
Principal Component Analysis
Protein Interaction Maps
Proteins
Proteomics
Quality Control
Quantitative analysis
Rifampin
ROC Curve
sCD14
Scientific imaging
Serum proteins
Tuberculosis
Tuberculosis, Multidrug-Resistant - blood
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Multidrug‐resistant tuberculosis (MDR‐TB), defined as tuberculosis (TB) resistant to at least isoniazid and rifampicin, is a major concern of TB control worldwide. However, the diagnosis of MDR‐TB remains a huge challenge to its prevention and control. To identify new diagnostic methods for MDR‐TB, a mass spectrometry strategy of data‐independent acquisition and parallel reaction monitoring was used to detect and validate differential serum proteins. The bioinformatic analysis showed that the functions of differential serum proteins between the MDR‐TB group and the drug‐sensitive tuberculosis group were significantly correlated to the complement coagulation cascade, surface adhesion and extracellular matrix receptor interaction, suggesting a disorder of coagulation in TB. Here, we identified three potential candidate biomarkers such as sCD14, PGLYRP2 and FGA, and established a diagnostic model using these three candidate biomarkers with a sensitivity of 81.2%, a specificity of 90% and the area under the curve value of 0.934 in receiver operation characteristics curve to diagnose MDR‐TB. Our study has paved the way for a novel method to diagnose MDR‐TB and may contribute to elucidate the mechanisms underlying MDR‐TB.
ISSN:1582-1838
1582-4934
DOI:10.1111/jcmm.15796