Literature DB >> 35311552

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

Jan Heyckendorf1,2,3,4, Sophia B Georghiou5, Nicole Frahm6, Norbert Heinrich7, Irina Kontsevaya2,3,4, Maja Reimann2,3,4, David Holtzman5, Marjorie Imperial8, Daniela M Cirillo9, Stephen H Gillespie10, Morten Ruhwald5.   

Abstract

Despite the advent of new diagnostics, drugs and regimens, tuberculosis (TB) remains a global public health threat. A significant challenge for TB control efforts has been the monitoring of TB therapy and determination of TB treatment success. Current recommendations for TB treatment monitoring rely on sputum and culture conversion, which have low sensitivity and long turnaround times, present biohazard risk, and are prone to contamination, undermining their usefulness as clinical treatment monitoring tools and for drug development. We review the pipeline of molecular technologies and assays that serve as suitable substitutes for current culture-based readouts for treatment response and outcome with the potential to change TB therapy monitoring and accelerate drug development.

Entities:  

Keywords:  biomarkers; outcome; treatment monitoring; tuberculosis

Mesh:

Substances:

Year:  2022        PMID: 35311552      PMCID: PMC9491169          DOI: 10.1128/cmr.00227-21

Source DB:  PubMed          Journal:  Clin Microbiol Rev        ISSN: 0893-8512            Impact factor:   50.129


  154 in total

1.  A simple, valid, numerical score for grading chest x-ray severity in adult smear-positive pulmonary tuberculosis.

Authors:  Anna P Ralph; Muhamed Ardian; Andri Wiguna; Graeme P Maguire; Niels G Becker; Glen Drogumuller; Michael J Wilks; Govert Waramori; Emiliana Tjitra; Enny Kenagalem; Gysje J Pontororing; Nicholas M Anstey; Paul M Kelly
Journal:  Thorax       Date:  2010-10       Impact factor: 9.139

2.  Ultrasensitive enzyme-linked immunosorbent assay for the detection of MPT64 secretory antigen to evaluate Mycobacterium tuberculosis viability in sputum.

Authors:  Kentaro Sakashita; Rikiya Takeuchi; Keita Takeda; Mikio Takamori; Kensuke Ito; Yuriko Igarashi; Eiji Hayashi; Mari Iguchi; Masahiro Ono; Tetsuya Kashiyama; Masatoshi Tachibana; Jun Miyakoshi; Koichi Yano; Yu Sato; Miyake Yamamoto; Kengo Murata; Akihiko Wada; Kinuyo Chikamatsu; Akio Aono; Akiko Takaki; Hideaki Nagai; Akira Yamane; Masahiro Kawashima; Mariko Komatsu; Kazunari Nakaishi; Satoshi Watabe; Satoshi Mitarai
Journal:  Int J Infect Dis       Date:  2020-04-27       Impact factor: 3.623

3.  Xpert MTB/RIF Results in Patients With Previous Tuberculosis: Can We Distinguish True From False Positive Results?

Authors:  Grant Theron; Rouxjeane Venter; Greg Calligaro; Liezel Smith; Jason Limberis; Richard Meldau; Duncan Chanda; Aliasgar Esmail; Jonny Peter; Keertan Dheda
Journal:  Clin Infect Dis       Date:  2016-02-16       Impact factor: 9.079

Review 4.  Can we predict tuberculosis cure? What tools are available?

Authors:  Delia Goletti; Cecilia S Lindestam Arlehamn; Thomas J Scriba; Richard Anthony; Daniela Maria Cirillo; Tonino Alonzi; Claudia M Denkinger; Frank Cobelens
Journal:  Eur Respir J       Date:  2018-11-08       Impact factor: 16.671

5.  Tryptophan catabolism reflects disease activity in human tuberculosis.

Authors:  Jeffrey M Collins; Amnah Siddiqa; Dean P Jones; Ken Liu; Russell R Kempker; Azhar Nizam; N Sarita Shah; Nazir Ismail; Samuel G Ouma; Nestani Tukvadze; Shuzhao Li; Cheryl L Day; Jyothi Rengarajan; James Cm Brust; Neel R Gandhi; Joel D Ernst; Henry M Blumberg; Thomas R Ziegler
Journal:  JCI Insight       Date:  2020-05-21

6.  Rapid diagnosis of tuberculosis by detection of mycobacterial lipoarabinomannan in urine.

Authors:  B Hamasur; J Bruchfeld; M Haile; A Pawlowski; B Bjorvatn; G Källenius; S B Svenson
Journal:  J Microbiol Methods       Date:  2001-05       Impact factor: 2.363

Review 7.  Getting personal perspectives on individualized treatment duration in multidrug-resistant and extensively drug-resistant tuberculosis.

Authors:  Jan Heyckendorf; Ioana D Olaru; Morten Ruhwald; Christoph Lange
Journal:  Am J Respir Crit Care Med       Date:  2014-08-15       Impact factor: 21.405

8.  Biomarkers of Tuberculosis Severity and Treatment Effect: A Directed Screen of 70 Host Markers in a Randomized Clinical Trial.

Authors:  G B Sigal; M R Segal; A Mathew; L Jarlsberg; M Wang; S Barbero; N Small; K Haynesworth; J L Davis; M Weiner; W C Whitworth; J Jacobs; J Schorey; D M Lewinsohn; P Nahid
Journal:  EBioMedicine       Date:  2017-10-24       Impact factor: 8.143

9.  Detection of Tuberculosis by The Analysis of Exhaled Breath Particles with High-resolution Mass Spectrometry.

Authors:  Dapeng Chen; Wayne A Bryden; Robin Wood
Journal:  Sci Rep       Date:  2020-05-06       Impact factor: 4.379

10.  Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.

Authors:  Zhi Zhen Qin; Melissa S Sander; Bishwa Rai; Collins N Titahong; Santat Sudrungrot; Sylvain N Laah; Lal Mani Adhikari; E Jane Carter; Lekha Puri; Andrew J Codlin; Jacob Creswell
Journal:  Sci Rep       Date:  2019-10-18       Impact factor: 4.379

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