Literature DB >> 26807702

Direct detection of Mycobacterium tuberculosis in sputum: A validation study using solid phase extraction-gas chromatography-mass spectrometry.

Marta P B Mourão1, Sjoukje Kuijper2, Ngoc A Dang2, Elisabetta Walters3, Hans-Gerd Janssen4, Arend H J Kolk2.   

Abstract

Tuberculosis (TB) remains a worldwide health problem, especially in developing countries. Correct identification of Mycobacterium tuberculosis (MTB) infection is extremely important for providing appropriate treatment and care to patients. Here we describe a solid phase extraction-gas chromatography-mass spectrometry method (SPE-THM-GC-MS) for the detection of five biomarkers for M. tuberculosis. The method for classification is developed and validated through the analysis of 112 sputum samples from patients suspected of having TB. Twenty of twenty-five MTB culture-positive sputum samples were correctly classified as positive by our improved SPE-THM-GC-MS method. Eighty-five of eighty-seven MTB culture-negative samples were also negative by SPE-THM-GC-MS. The overall sensitivity of the new SPE-THM-GC-MS method is 80% (20/25) and the specificity is 98% (85/87) compared with culture. The method proved to be reliable and, although complex in principle, easy to operate due to the high degree of automation.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Direct detection; Gas chromatography–mass spectrometry; Mycobacterium tuberculosis; Solid Phase Extraction; Validation

Mesh:

Year:  2015        PMID: 26807702     DOI: 10.1016/j.jchromb.2015.12.023

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  5 in total

1.  Diagnosis of pulmonary tuberculosis and assessment of treatment response through analyses of volatile compound patterns in exhaled breath samples.

Authors:  Nicola M Zetola; Chawangwa Modongo; Ogopotse Matsiri; Tsaone Tamuhla; Bontle Mbongwe; Keikantse Matlhagela; Enoch Sepako; Alexandro Catini; Giorgio Sirugo; Eugenio Martinelli; Roberto Paolesse; Corrado Di Natale
Journal:  J Infect       Date:  2016-12-22       Impact factor: 6.072

2.  Tuberculostearic Acid-Containing Phosphatidylinositols as Markers of Bacterial Burden in Tuberculosis.

Authors:  Julius Brandenburg; Jan Heyckendorf; Franziska Marwitz; Nicole Zehethofer; Lara Linnemann; Nicolas Gisch; Hande Karaköse; Maja Reimann; Katharina Kranzer; Barbara Kalsdorf; Patricia Sanchez-Carballo; Michael Weinkauf; Verena Scholz; Sven Malm; Susanne Homolka; Karoline I Gaede; Christian Herzmann; Ulrich E Schaible; Christoph Hölscher; Norbert Reiling; Dominik Schwudke
Journal:  ACS Infect Dis       Date:  2022-06-28       Impact factor: 5.578

3.  A systematic review of biomarkers to detect active tuberculosis.

Authors:  Emily MacLean; Tobias Broger; Seda Yerlikaya; B Leticia Fernandez-Carballo; Madhukar Pai; Claudia M Denkinger
Journal:  Nat Microbiol       Date:  2019-02-25       Impact factor: 17.745

4.  A novel cell membrane affinity sample pretreatment technique for recognition and preconcentration of active components from traditional Chinese medicine.

Authors:  Yusi Bu; Xiaoshuang He; Qi Hu; Cheng Wang; Xiaoyu Xie; Sicen Wang
Journal:  Sci Rep       Date:  2017-06-15       Impact factor: 4.379

Review 5.  Understanding Metabolic Regulation Between Host and Pathogens: New Opportunities for the Development of Improved Therapeutic Strategies Against Mycobacterium tuberculosis Infection.

Authors:  Ji-Hae Park; Dahee Shim; Keu Eun San Kim; Wonsik Lee; Sung Jae Shin
Journal:  Front Cell Infect Microbiol       Date:  2021-03-16       Impact factor: 5.293

  5 in total

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