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      Proteomics in Biomarker Discovery for Tuberculosis: Current Status and Future Perspectives

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          Abstract

          Tuberculosis (TB) continues to threaten many peoples’ health worldwide, regardless of their country of residence or age. The current diagnosis of TB still uses mainly traditional, time-consuming, and/or culture-based techniques. Efforts have focused on discovering new biomarkers with higher efficiency and accuracy for TB diagnosis. Proteomics—the systematic study of protein diversity—is being applied to the discovery of novel protein biomarkers for different types of diseases. Mass spectrometry (MS) technology plays a revolutionary role in proteomics, and its applicability benefits from the development of other technologies, such as matrix-based and immune-based methods. MS and derivative strategies continuously contribute to disease-related discoveries, and some promising proteomic biomarkers for efficient TB diagnosis have been identified, but challenges still exist. For example, there are discrepancies in the biomarkers identified among different reports and the diagnostic accuracy of clinically applied proteomic biomarkers. The present review summarizes the current status and future perspectives of proteomics in the field of TB biomarker discovery and aims to elicit more promising findings for rapid and accurate TB diagnosis.

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          Most cited references67

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          Electrospray ionization for mass spectrometry of large biomolecules

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            Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.

            We describe an approach for the accurate quantification and concurrent sequence identification of the individual proteins within complex mixtures. The method is based on a class of new chemical reagents termed isotope-coded affinity tags (ICATs) and tandem mass spectrometry. Using this strategy, we compared protein expression in the yeast Saccharomyces cerevisiae, using either ethanol or galactose as a carbon source. The measured differences in protein expression correlated with known yeast metabolic function under glucose-repressed conditions. The method is redundant if multiple cysteinyl residues are present, and the relative quantification is highly accurate because it is based on stable isotope dilution techniques. The ICAT approach should provide a widely applicable means to compare quantitatively global protein expression in cells and tissues.
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              Tuberculosis.

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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                26 April 2022
                2022
                : 13
                : 845229
                Affiliations
                [1] 1College of Pharmacy, Shenzhen Technology University , Shenzhen, China
                [2] 2Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, School of Medicine, Shenzhen University , Shenzhen, China
                Author notes

                Edited by: Xiao-Yong Fan, Fudan University, China

                Reviewed by: Suereta Fortuin, Stellenbosch University, South Africa; Jianping Xie, Southwest University, China

                *Correspondence: Yi Cai, caiyi0113@ 123456szu.edu.cn

                This article was submitted to Infectious Agents and Disease, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2022.845229
                9087271
                35558124
                7b262eb7-a4bc-4630-93fb-869fbef4ab91
                Copyright © 2022 Guo, Zhang, Chen and Cai.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 December 2021
                : 24 February 2022
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 67, Pages: 8, Words: 6127
                Categories
                Microbiology
                Review

                Microbiology & Virology
                tuberculosis,proteomics,biomarker,diagnosis,mass spectrometry
                Microbiology & Virology
                tuberculosis, proteomics, biomarker, diagnosis, mass spectrometry

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