Literature DB >> 30029905

Detection of lipoarabinomannan in urine and serum of HIV-positive and HIV-negative TB suspects using an improved capture-enzyme linked immuno absorbent assay and gas chromatography/mass spectrometry.

Anita G Amin1, Prithwiraj De2, John S Spencer3, Patrick J Brennan4, Joshua Daum5, Barbara G Andre6, Maju Joe7, Yu Bai8, Lars Laurentius9, Marc D Porter10, William J Honnen11, Alok Choudhary12, Todd L Lowary13, Abraham Pinter14, Delphi Chatterjee15.   

Abstract

TB diagnosis and treatment monitoring in resource limited regions rely heavily on serial sputum smear microscopy and bacterial culture. These microbiological methods are time-consuming, expensive and lack adequate sensitivity. The WHO states that improved TB diagnosis and treatment is imperative to achieve an end to the TB epidemic by 2030. Commercially available lipoarabinomannan (LAM) detection tools perform at low sensitivity that are highly dependent on the underlying immunological status of the patient; those with advanced HIV infection perform well. In this study, we have applied two novel strategies towards the sensitive diagnosis of TB infection based on LAM: Capture ELISA to detect LAM in paired urine and serum samples using murine and human monoclonal antibodies, essentially relying on LAM as an 'immuno-marker'; and, secondly, detection of α-d-arabinofuranose and tuberculostearic acid (TBSA)- 'chemical-markers' unique to mycobacterial cell wall polysaccharides/lipoglycans by our recently developed gas chromatography/mass spectrometry (GC/MS) method. Blinded urine specimens, with microbiologically confirmed active pulmonary TB or non TB (HIV+/HIV-) were tested by the aforementioned assays. LAM in patient urine was detected in a concentration range of 3-28 ng/mL based on GC/MS detection of the two LAM-surrogates, d-arabinose and tuberculostearic acid (TBSA) correctly classifying TB status with sensitivity > 99% and specificity = 84%. The ELISA assay had high sensitivity (98%) and specificity (92%) and the results were in agreement with GC/MS analysis. Both tests performed well in their present form particularly for HIV-negative/TB-positive urine samples. Among the HIV+/TB+ samples, 52% were found to have >10 ng/mL urinary LAM. The detected amounts of LAM present in the urine samples also appears to be associated with the gradation of the sputum smear, linking elevated LAM levels with higher mycobacterial burden (odds ratio = 1.08-1.43; p = 0.002). In this small set, ELISA was also applied to parallel serum samples confirming that serum could be an additional reservoir for developing a LAM-based immunoassay for diagnosis of TB.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Capture immunoassay; GC/MS; HIV; LAM; LAM monoclonal antibodies; TB

Mesh:

Substances:

Year:  2018        PMID: 30029905     DOI: 10.1016/j.tube.2018.06.004

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


  16 in total

1.  Comparative Structural Study of Terminal Ends of Lipoarabinomannan from Mice Infected Lung Tissues and Urine of a Tuberculosis Positive Patient.

Authors:  Prithwiraj De; Libin Shi; Claudia Boot; Diane Ordway; Michael McNeil; Delphi Chatterjee
Journal:  ACS Infect Dis       Date:  2019-12-12       Impact factor: 5.084

2.  Urine lipoarabinomannan as a marker for low-risk of NTM infection in the CF airway.

Authors:  Prithwiraj De; Anita G Amin; Barbara Graham; Stacey L Martiniano; Silvia M Caceres; Katie R Poch; Marion C Jones; Milene T Saavedra; Kenneth C Malcolm; Jerry A Nick; Delphi Chatterjee
Journal:  J Cyst Fibros       Date:  2020-07-03       Impact factor: 5.482

3.  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

4.  Secondary Extended Mannan Side Chains and Attachment of the Arabinan in Mycobacterial Lipoarabinomannan.

Authors:  Shiva K Angala; Wei Li; Claudia M Boot; Mary Jackson; Michael R McNeil
Journal:  Commun Chem       Date:  2020-08-07

5.  Ultrasensitive detection of lipoarabinomannan with plasmonic grating biosensors in clinical samples of HIV negative patients with tuberculosis.

Authors:  Aaron Wood; Syed Barizuddin; Charles M Darr; Cherian J Mathai; Alexey Ball; Kyle Minch; Akos Somoskovi; Beston Hamasur; John T Connelly; Bernhard Weigl; Alfred Andama; Adithya Cattamanchi; Keshab Gangopadhyay; Sangho Bok; Shubhra Gangopadhyay
Journal:  PLoS One       Date:  2019-03-26       Impact factor: 3.240

6.  Combining urine lipoarabinomannan with antibody detection as a simple non-sputum-based screening method for HIV-associated tuberculosis.

Authors:  Hiba Younis; Isabell Kerschbaumer; Jee-Young Moon; Ryung S Kim; Caroline J Blanc; Tingting Chen; Robin Wood; Steven Lawn; Jacqueline M Achkar
Journal:  PLoS One       Date:  2019-06-25       Impact factor: 3.240

7.  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

Review 8.  Aspects of Point-of-Care Diagnostics for Personalized Health Wellness.

Authors:  Sandeep Kumar; Monika Nehra; Sakina Khurana; Neeraj Dilbaghi; Vanish Kumar; Ajeet Kaushik; Ki-Hyun Kim
Journal:  Int J Nanomedicine       Date:  2021-01-14

9.  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

Review 10.  Pediatric Tuberculosis: The Impact of "Omics" on Diagnostics Development.

Authors:  Shailja Jakhar; Alexis A Bitzer; Loreen R Stromberg; Harshini Mukundan
Journal:  Int J Mol Sci       Date:  2020-09-23       Impact factor: 5.923

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