Literature DB >> 24429376

Application of lipoarabinomannan antigen in tuberculosis diagnostics: current evidence.

Pronoti Sarkar1, Debasis Biswas, Girish Sindhwani, Jagdish Rawat, Aarti Kotwal, Barnali Kakati.   

Abstract

Tests based on the detection of mycobacterial lipoarabinomannan (LAM) antigen in urine have emerged as potential point-of-care tests for tuberculosis (TB). We aimed to assimilate the current evidence regarding the diagnostic performance of LAM assays and to ascertain their clinical indication in settings with high and low prevalence of HIV-TB co-infection. Owing to suboptimal sensitivity, the urinary LAM assays are unsuitable as general screening tests for TB. However, unlike traditional diagnostic methods, they demonstrate improved sensitivity in HIV-TB co-infection which further increases with low CD4 counts. Accordingly, these assays are indicated as rule-in tests for TB in patients with advanced HIV-induced immunosuppression, and facilitate the early initiation of antituberculous treatment in them. They also offer incremental sensitivity and specificity when used as adjunct tests to smear microscopy and chest radiography in HIV-TB co-infection. They obviate the biohazards associated with sputum samples and provide an alternative diagnostic tool in sputum-scarce patients. Notwithstanding these advantages, the specificity of these assays is variable, which is mostly attributable to misclassification bias and cross-reactivity with non-tuberculous mycobacteria or other commensal flora. Furthermore, the inability to detect low titres of antigen in HIV-uninfected patients makes these assays unsuitable for use in settings with a low HIV prevalence. Future research targeted towards inclusion of specific monoclonal antibodies and more sensitive immunoassay platforms might help to improve the diagnostic performance of these assays and extend their applicability to the general population of patients with TB.

Entities:  

Keywords:  Diagnosis; Lipoarabinomannan antigen; Pulmonary tuberculosis

Mesh:

Substances:

Year:  2014        PMID: 24429376     DOI: 10.1136/postgradmedj-2013-132053

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   2.401


  6 in total

1.  Simple manipulation of enzyme-linked immunosorbent assay (ELISA) using an automated microfluidic interface.

Authors:  Yosita Panraksa; Ilhoon Jang; Cody S Carrell; Anita G Amin; Orawon Chailapakul; Delphi Chatterjee; Charles S Henry
Journal:  Anal Methods       Date:  2022-05-13       Impact factor: 3.532

Review 2.  Improved Conventional and New Approaches in the Diagnosis of Tuberculosis.

Authors:  Baoyu Dong; Zhiqun He; Yuqing Li; Xinyue Xu; Chuan Wang; Jumei Zeng
Journal:  Front Microbiol       Date:  2022-05-31       Impact factor: 6.064

Review 3.  Mannose-capped lipoarabinomannan in Mycobacterium tuberculosis pathogenesis.

Authors:  Joanne Turner; Jordi B Torrelles
Journal:  Pathog Dis       Date:  2018-06-01       Impact factor: 3.166

4.  Urine lipoarabinomannan point-of-care testing in patients affected by pulmonary nontuberculous mycobacteria--experiences from the Danish Cystic Fibrosis cohort study.

Authors:  Tavs Qvist; Isik S Johansen; Tania Pressler; Niels Høiby; Aase B Andersen; Terese L Katzenstein; Stephanie Bjerrum
Journal:  BMC Infect Dis       Date:  2014-12-04       Impact factor: 3.090

5.  Sensitive electrochemiluminescence (ECL) immunoassays for detecting lipoarabinomannan (LAM) and ESAT-6 in urine and serum from tuberculosis patients.

Authors:  Tobias Broger; Michael Tsionksy; Anu Mathew; Todd L Lowary; Abraham Pinter; Tatiana Plisova; Daniel Bartlett; Simone Barbero; Claudia M Denkinger; Emmanuel Moreau; Kiyonori Katsuragi; Masanori Kawasaki; Payam Nahid; George B Sigal
Journal:  PLoS One       Date:  2019-04-18       Impact factor: 3.240

6.  A Novel Sensitive Immunoassay Targeting the 5-Methylthio-d-Xylofuranose-Lipoarabinomannan Epitope Meets the WHO's Performance Target for Tuberculosis Diagnosis.

Authors:  George B Sigal; Abraham Pinter; Todd L Lowary; Masanori Kawasaki; Andra Li; Anu Mathew; Michael Tsionsky; Ruixiang Blake Zheng; Tatiana Plisova; Ke Shen; Kiyonori Katsuragi; Alok Choudhary; William J Honnen; Payam Nahid; Claudia M Denkinger; Tobias Broger
Journal:  J Clin Microbiol       Date:  2018-11-27       Impact factor: 5.948

  6 in total

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