1. Urinary proteomic analysis to identify a potential protein biomarker panel for the diagnosis of tuberculosis.
- Author
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Liu L, Deng J, Yang Q, Wei C, Liu B, Zhang H, Xin H, Pan S, Liu Z, Wang D, Pang Y, Chen X, Gao L, Zheng J, Liu R, and Jin Q
- Subjects
- Adult, Case-Control Studies, Female, Humans, Latent Tuberculosis diagnosis, Latent Tuberculosis urine, Male, Molecular Weight, Proteins chemistry, Proteins metabolism, Proteomics methods, Reproducibility of Results, Sensitivity and Specificity, Tandem Mass Spectrometry, Tuberculosis diagnosis, Urinalysis methods, Biomarkers urine, Proteinuria diagnosis, Tuberculosis urine
- Abstract
Tuberculosis (TB) is caused by Mycobacterium tuberculosis and is one of the primary causes of death worldwide. Rapid and accurate diagnosis of TB is one of the most direct means to reduce the incidence of TB. In this study, urinary proteomic profiling of TB patients and non-TB individual controls (HCs) was performed, and differentially expressed urinary proteins between TB and HCs were compared and exclusively expressed proteins in TB patients were selected to establish a clinically useful disease marker panel. In total, these top 11 targeted proteins with 265 peptides were scheduled for multiple reaction monitoring validation analysis by using urine samples from 52 TB patients and 52 HCs. The result demonstrated that a three-protein combination out of the five-protein panel (namely P22352, Q9P121, P15151, Q13291, and Q8NDA2) exhibited sensitivity rate of 82.7% in the diagnosis of TB. Furthermore, the three-protein combination could differentiate TB from the latent tuberculosis (LTB) effectively, which exhibited specificity rate of 92.3% for the diagnosis of TB from the LTB category. Although more numbers of clinical samples are required for further verification, the results provided preliminary evidence that this "three-protein combination" out of the five-protein panel could probably be a novel TB diagnostic biomarker in clinical application., (© 2021 International Union of Biochemistry and Molecular Biology.)
- Published
- 2021
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