Literature DB >> 35612766

Use of DosR and Rpf antigens from Mycobacterium tuberculosis to screen for latent and relapse tuberculosis infection in a tuberculosis endemic community of Huainan City.

Lirong Mao1, Lifa Xu2, Xiaochun Wang3, Jianpeng Du4, Qishan Sun5, Zilun Shi6, Jian Wang4, Yingru Xing1,7, Yixing Su6, Ying Xu4, Zhiyang Qi4, Lu Xia4, Jilei Ma8, Jingyan Zhang9.   

Abstract

The dormancy survival regulator (DosR) antigens upgraded during latency and resuscitation-promoting factors (Rpfs) expressed over the reactivation from dormant Mycobacterium tuberculosis (M. tuberculosis) could be used to diagnose tuberculosis (TB) at different stages. We performed a retrospective cohort study based on four groups, including healthy controls (HCs), active tuberculosis infections (ATBs), latent tuberculosis infections (LTBIs), and relapse tuberculosis infections (RTBs) enrolled between November 2020 and June 2021. Compared to the fusion protein E6-C10, combined with early secreted antigenic target 6 kDa (ESAT-6) and culture filtrate of 10 kDa (CFP-10), the DosR- or Rpf-encoded antigens could not elicit significant IFN-γ concentration for the diagnosis of ATB. Of note, the DosR antigens produce significantly more antigen-specific IFN-γ in LTBIs than Rpfs, and the levels of antigen-specific IFN-γ elicited in RTBs stimulated by Rpfs were higher than the DosR antigens. Among the DosR antigens, Rv2003c was the most immunogenic in diagnosing LTBIs, followed by Rv2007c and Rv2005c. As far as Rpfs are concerned, Rv0867c was the best antigen to identify RTBs, followed by Rv2389c and Rv1009. Both Rv2450c and Rv1884c showed relatively limited IFN-γ concentration in RTBs. Besides, the selected DosR antigens and Rpfs showed ideal specificity and inadequate sensitivity, which could have been enhanced by the fusion antigens prepared by the DosR antigens or Rpfs, respectively. The results of this study can provide more accurate detection methods for LTBIs and RTBs and could be used for screening the dormant M. tuberculosis throughout reactivation.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Diagnostics; DosR; IFN-γ biomarkers; Rpf; Tuberculosis

Mesh:

Substances:

Year:  2022        PMID: 35612766     DOI: 10.1007/s10096-022-04459-8

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  34 in total

1.  Guidance for Studies Evaluating the Accuracy of Sputum-Based Tests to Diagnose Tuberculosis.

Authors:  Samuel G Schumacher; William A Wells; Mark P Nicol; Karen R Steingart; Grant Theron; Susan E Dorman; Madhukar Pai; Gavin Churchyard; Lesley Scott; Wendy Stevens; Pamela Nabeta; David Alland; Karin Weyer; Claudia M Denkinger; Christopher Gilpin
Journal:  J Infect Dis       Date:  2019-10-08       Impact factor: 5.226

2.  Use of resuscitation promoting factors to screen for tuberculosis infection in household-exposed children in The Gambia.

Authors:  W van Loon; M P Gomez; D Jobe; K L M C Franken; T H M Ottenhoff; M Coninx; L Kestens; J S Sutherland; B Kampmann; L D Tientcheu
Journal:  BMC Infect Dis       Date:  2020-07-02       Impact factor: 3.090

3.  Characterization of host and microbial determinants in individuals with latent tuberculosis infection using a human granuloma model.

Authors:  Evelyn Guirado; Uchenna Mbawuike; Tracy L Keiser; Jesus Arcos; Abul K Azad; Shu-Hua Wang; Larry S Schlesinger
Journal:  MBio       Date:  2015-02-17       Impact factor: 7.867

4.  Broad adaptive immune responses to M. tuberculosis antigens precede TST conversion in tuberculosis exposed household contacts in a TB-endemic setting.

Authors:  Ulrike K Buchwald; Ifedayo M O Adetifa; Christian Bottomley; Patrick K Owiafe; Simon Donkor; Adama L Bojang; Jayne S Sutherland
Journal:  PLoS One       Date:  2014-12-30       Impact factor: 3.240

5.  Modeling the impact of novel diagnostic tests on pediatric and extrapulmonary tuberculosis.

Authors:  Claudia M Denkinger; Beate Kampmann; Syed Ahmed; David W Dowdy
Journal:  BMC Infect Dis       Date:  2014-09-03       Impact factor: 3.090

6.  Application of ImmunoScore Model for the Differentiation between Active Tuberculosis and Latent Tuberculosis Infection as Well as Monitoring Anti-tuberculosis Therapy.

Authors:  Yu Zhou; Juan Du; Hong-Yan Hou; Yan-Fang Lu; Jing Yu; Li-Yan Mao; Feng Wang; Zi-Yong Sun
Journal:  Front Cell Infect Microbiol       Date:  2017-10-30       Impact factor: 5.293

7.  The Incremental Value of Repeated Induced Sputum and Gastric Aspirate Samples for the Diagnosis of Pulmonary Tuberculosis in Young Children With Acute Community-Acquired Pneumonia.

Authors:  David P Moore; Melissa M Higdon; Laura L Hammitt; Christine Prosperi; Andrea N DeLuca; Pedro Da Silva; Vicky L Baillie; Peter V Adrian; Azwifarwi Mudau; Maria Deloria Knoll; Daniel R Feikin; David R Murdoch; Katherine L O'Brien; Shabir A Madhi
Journal:  Clin Infect Dis       Date:  2017-06-15       Impact factor: 9.079

8.  Tuberculin skin test and QuantiFERON-Gold In Tube assay for diagnosis of latent TB infection among household contacts of pulmonary TB patients in high TB burden setting.

Authors:  Padmapriyadarsini Chandrasekaran; Vidya Mave; Kannan Thiruvengadam; Nikhil Gupte; Shri Vijay Bala Yogendra Shivakumar; Luke Elizabeth Hanna; Vandana Kulkarni; Dileep Kadam; Kavitha Dhanasekaran; Mandar Paradkar; Beena Thomas; Rewa Kohli; Chandrakumar Dolla; Renu Bharadwaj; Gomathi Narayan Sivaramakrishnan; Neeta Pradhan; Akshay Gupte; Lakshmi Murali; Chhaya Valvi; Soumya Swaminathan; Amita Gupta
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

Review 9.  The spectrum of latent tuberculosis: rethinking the biology and intervention strategies.

Authors:  Clifton E Barry; Helena I Boshoff; Véronique Dartois; Thomas Dick; Sabine Ehrt; JoAnne Flynn; Dirk Schnappinger; Robert J Wilkinson; Douglas Young
Journal:  Nat Rev Microbiol       Date:  2009-10-26       Impact factor: 60.633

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