Literature DB >> 29959917

Screening and identification of potential protein biomarkers for evaluating the efficacy of intensive therapy in pulmonary tuberculosis.

Ting-Ting Jiang1, Li-Ying Shi2, Jing Chen3, Li-Liang Wei4, Meng Li2, Yu-Ting Hu1, Lin Gan1, Chang-Ming Liu3, Hui-Hui Tu3, Zhi-Bin Li3, Wen-Jing Yi3, Ji-Cheng Li5.   

Abstract

This research aimed to discover potential biomarkers for evaluating the therapeutic efficacy of intensive therapy in pulmonary tuberculosis (TB). Protein profiles in 2-months intensively treated TB patients, untreated TB patients, and healthy controls were investigated with iTRAQ-2DLC-MS/MS technique. 71 differential proteins were identified in 2-months intensively treated TB patients. Significant differences in complement component C7 (CO7), apolipoprotein A-IV (APOA4), apolipoprotein C-II (APOC2), and angiotensinogen (ANGT) were found by ELISA validation. CO7 and ANGT were also found significantly different in sputum negative patients, compared with sputum positive patients after intensive treatment. Clinical analysis showed that after 2-months intensive treatment several indicators were significantly changed, and the one-year cure rate of sputum negative patients were significantly higher than sputum positive patients. Diagnostic models consisting of APOC2, CO7 and APOA4 were established to distinguish intensively treated TB patients from untreated TB patients and healthy controls with the AUC value of 0.910 and 0.935. Meanwhile, ANGT and CO7 were combined to identify sputum negative and sputum positive TB patients after intensive treatment with 89.36% sensitivity, 71.43% specificity, and the AUC value of 0.853. The results showed that APOC2, CO7, APOA4, and ANGT may be potential biomarkers for evaluating the efficacy of intensive anti-TB therapy.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Intensive treatment; Potential biomarker; Serum protein; Tuberculosis; iTRAQ

Mesh:

Substances:

Year:  2018        PMID: 29959917     DOI: 10.1016/j.bbrc.2018.06.147

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  5 in total

Review 1.  Omics Biomarkers for Monitoring Tuberculosis Treatment: A Mini-Review of Recent Insights and Future Approaches.

Authors:  Dian Ayu Eka Pitaloka; Mas Rizky Anggun A A Syamsunarno; Rizky Abdulah; Lidya Chaidir
Journal:  Infect Drug Resist       Date:  2022-05-28       Impact factor: 4.177

2.  Evaluation of Host Protein Biomarkers by ELISA From Whole Lysed Peripheral Blood for Development of Diagnostic Tests for Active Tuberculosis.

Authors:  Harriet N Garlant; Kalaiarasan Ellappan; Matthew Hewitt; Prem Perumal; Simon Pekeleke; Nadina Wand; Jo Southern; Saka Vinod Kumar; Harish Belgode; Ibrahim Abubakar; Sanjeev Sinha; Seshadri Vasan; Noyal Mariya Joseph; Karen E Kempsell
Journal:  Front Immunol       Date:  2022-05-20       Impact factor: 8.786

3.  Mycobacterium tuberculosis Affects Protein and Lipid Content of Circulating Exosomes in Infected Patients Depending on Tuberculosis Disease State.

Authors:  Fantahun Biadglegne; Johannes R Schmidt; Kathrin M Engel; Jörg Lehmann; Robert T Lehmann; Anja Reinert; Brigitte König; Jürgen Schiller; Stefan Kalkhof; Ulrich Sack
Journal:  Biomedicines       Date:  2022-03-27

Review 4.  Tuberculosis Treatment Monitoring and Outcome Measures: New Interest and New Strategies.

Authors:  Jan Heyckendorf; Sophia B Georghiou; Nicole Frahm; Norbert Heinrich; Irina Kontsevaya; Maja Reimann; David Holtzman; Marjorie Imperial; Daniela M Cirillo; Stephen H Gillespie; Morten Ruhwald
Journal:  Clin Microbiol Rev       Date:  2022-03-21       Impact factor: 50.129

5.  Biomarkers That Correlate with Active Pulmonary Tuberculosis Treatment Response: a Systematic Review and Meta-analysis.

Authors:  Claudia M Denkinger; Mikashmi Kohli; Alexandra J Zimmer; Federica Lainati; Nathaly Aguilera Vasquez; Carole Chedid; Sean McGrath; Andrea Benedetti; Emily MacLean; Morten Ruhwald
Journal:  J Clin Microbiol       Date:  2021-12-15       Impact factor: 5.948

  5 in total

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