Literature DB >> 23127778

Serodiagnostic markers for the prediction of the outcome of intensive phase tuberculosis therapy.

Ralf Baumann1, Susanne Kaempfer, Novel N Chegou, Nonhlanhla F Nene, Hanne Veenstra, Ralf Spallek, Chris T Bolliger, Pauline T Lukey, Paul D van Helden, Mahavir Singh, Gerhard Walzl.   

Abstract

Treatment failure and relapse may affect many tuberculosis (TB) patients who undergo standard anti-TB therapy. Several independent studies suggested unsuccessful sputum culture conversion at month 2 of treatment (slow response) as risk factor for treatment failure and relapse. However, earlier than month 2 identification of patients with a high risk for poor treatment outcome would offer significant clinical trial and individual patient care benefits. The sensitivity and specificity of serological IgG and IgA responses against four recombinant mycobacterial antigens (ABC transporter PstS3, secreted l-alanine dehydrogenase, culture filtrate protein Tpx and 6 kDa early secretory antigenic target esxa (ESAT-6)) were evaluated separately in a blinded fashion in 21 smear-positive pulmonary TB patient sera taken at diagnosis before commencement of directly observed anti-TB treatment short course comprising 13 slow responder and eight fast responder subjects. We observed a general pattern of higher antibody levels in sera of slow responders. Most pronounced were high levels of anti-alanine dehydrogenase IgG, anti-Tpx IgG, anti-ESAT-6 IgG and anti-ESAT-6 IgA antibodies at diagnosis being associated with slow response with 100% specificity each and 46.2, 53.8, 53.8 or 53.8% sensitivity, respectively, when compared to fast response (P = 0.020, 0.021, 0.040 and 0.011, respectively). Discriminant analysis showed that the combined use of anti-Tpx IgG and anti-ESAT-6 IgA antibody titers before treatment predicted slow responders with 90.5% accuracy. These preliminary results suggest that combinations of serodiagnostic markers measured prior to initiation of treatment may be suitable for the prediction of early treatment response. This approach holds promise and requires further evaluation for its utility in the prediction of treatment failure and relapse, the evaluation of new TB therapeutics, as well as in the care of individual patients.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23127778     DOI: 10.1016/j.tube.2012.09.003

Source DB:  PubMed          Journal:  Tuberculosis (Edinb)        ISSN: 1472-9792            Impact factor:   3.131


  9 in total

1.  A subset of circulating blood mycobacteria-specific CD4 T cells can predict the time to Mycobacterium tuberculosis sputum culture conversion.

Authors:  Catherine Riou; Clive M Gray; Masixole Lugongolo; Thabisile Gwala; Agano Kiravu; Pamela Deniso; Lynsey Stewart-Isherwood; Shaheed Vally Omar; Martin P Grobusch; Gerrit Coetzee; Francesca Conradie; Nazir Ismail; Gilla Kaplan; Dorothy Fallows
Journal:  PLoS One       Date:  2014-07-21       Impact factor: 3.240

2.  Detection of a combination of serum IgG and IgA antibodies against selected mycobacterial targets provides promising diagnostic signatures for active TB.

Authors:  Dolapo O Awoniyi; Ralf Baumann; Novel N Chegou; Belinda Kriel; Ruschca Jacobs; Martin Kidd; Andre G Loxton; Susanne Kaempfer; Mahavir Singh; Gerhard Walzl
Journal:  Oncotarget       Date:  2017-06-06

3.  Diagnostic performance and problem analysis of commercial tuberculosis antibody detection kits in China.

Authors:  Xue-Juan Bai; You-Rong Yang; Jian-Qin Liang; Hui-Ru An; Jie Wang; Yan-Bo Ling; Zhong-Yuan Wang; Xue-Qiong Wu
Journal:  Mil Med Res       Date:  2018-03-22

4.  A Subgroup of Latently Mycobacterium tuberculosis Infected Individuals Is Characterized by Consistently Elevated IgA Responses to Several Mycobacterial Antigens.

Authors:  Ralf Baumann; Susanne Kaempfer; Novel N Chegou; Wulf Oehlmann; Ralf Spallek; André G Loxton; Paul D van Helden; Gillian F Black; Mahavir Singh; Gerhard Walzl
Journal:  Mediators Inflamm       Date:  2015-08-10       Impact factor: 4.711

5.  Plasma Biomarkers Can Predict Treatment Response in Tuberculosis Patients: A Prospective Observational Study.

Authors:  Meng-Rui Lee; Chia-Jung Tsai; Wei-Jie Wang; Tzu-Yi Chuang; Chih-Mann Yang; Lih-Yu Chang; Ching-Kai Lin; Jann-Yuan Wang; Chin-Chong Shu; Li-Na Lee; Chong-Jen Yu
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

6.  IgG, IgM and IgA antibodies against the novel polyprotein in active tuberculosis.

Authors:  Xiaoyan Feng; Xiqin Yang; Bingshui Xiu; Shuang Qie; Zhenhua Dai; Kun Chen; Ping Zhao; Li Zhang; Russell A Nicholson; Guohua Wang; Xiaoguo Song; Heqiu Zhang
Journal:  BMC Infect Dis       Date:  2014-06-17       Impact factor: 3.090

Review 7.  Transformative tools for tackling tuberculosis.

Authors:  Jennifer L Gardiner; Christopher L Karp
Journal:  J Exp Med       Date:  2015-10-12       Impact factor: 14.307

8.  IgA and IgG against Mycobacterium tuberculosis Rv2031 discriminate between pulmonary tuberculosis patients, Mycobacterium tuberculosis-infected and non-infected individuals.

Authors:  Fekadu Abebe; Mulugeta Belay; Mengistu Legesse; Franken K L M C; Tom H M Ottenhoff
Journal:  PLoS One       Date:  2018-01-26       Impact factor: 3.240

9.  Mycobacterium tuberculosis pili (MTP), a putative biomarker for a tuberculosis diagnostic test.

Authors:  Natasha Naidoo; Saiyur Ramsugit; Manormoney Pillay
Journal:  Tuberculosis (Edinb)       Date:  2014-03-20       Impact factor: 3.131

  9 in total

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