Literature DB >> 33717190

Evaluation of Host Serum Protein Biomarkers of Tuberculosis in sub-Saharan Africa.

Thomas C Morris1, Clive J Hoggart1,2, Novel N Chegou3, Martin Kidd4, Tolu Oni5,6, Rene Goliath5, Katalin A Wilkinson5,7, Hazel M Dockrell8, Lifted Sichali9, Louis Banda9, Amelia C Crampin9,10,11, Neil French12, Gerhard Walzl3, Michael Levin1, Robert J Wilkinson1,5,7, Melissa S Hamilton1.   

Abstract

Accurate and affordable point-of-care diagnostics for tuberculosis (TB) are needed. Host serum protein signatures have been derived for use in primary care settings, however validation of these in secondary care settings is lacking. We evaluated serum protein biomarkers discovered in primary care cohorts from Africa reapplied to patients from secondary care. In this nested case-control study, concentrations of 22 proteins were quantified in sera from 292 patients from Malawi and South Africa who presented predominantly to secondary care. Recruitment was based upon intention of local clinicians to test for TB. The case definition for TB was culture positivity for Mycobacterium tuberculosis; and for other diseases (OD) a confirmed alternative diagnosis. Equal numbers of TB and OD patients were selected. Within each group, there were equal numbers with and without HIV and from each site. Patients were split into training and test sets for biosignature discovery. A nine-protein signature to distinguish TB from OD was discovered comprising fibrinogen, alpha-2-macroglobulin, CRP, MMP-9, transthyretin, complement factor H, IFN-gamma, IP-10, and TNF-alpha. This signature had an area under the receiver operating characteristic curve in the training set of 90% (95% CI 86-95%), and, after adjusting the cut-off for increased sensitivity, a sensitivity and specificity in the test set of 92% (95% CI 80-98%) and 71% (95% CI 56-84%), respectively. The best single biomarker was complement factor H [area under the receiver operating characteristic curve 70% (95% CI 64-76%)]. Biosignatures consisting of host serum proteins may function as point-of-care screening tests for TB in African hospitals. Complement factor H is identified as a new biomarker for such signatures.
Copyright © 2021 Morris, Hoggart, Chegou, Kidd, Oni, Goliath, Wilkinson, Dockrell, Sichali, Banda, Crampin, French, Walzl, Levin, Wilkinson and Hamilton.

Entities:  

Keywords:  Africa; HIV; biomarker; diagnosis; protein; serum; tuberculosis

Year:  2021        PMID: 33717190      PMCID: PMC7947659          DOI: 10.3389/fimmu.2021.639174

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


  47 in total

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Review 2.  Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults.

Authors:  Karen R Steingart; Ian Schiller; David J Horne; Madhukar Pai; Catharina C Boehme; Nandini Dendukuri
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3.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

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Journal:  Sci Transl Med       Date:  2019-10-23       Impact factor: 17.956

5.  Gamma interferon-producing CD4+ T lymphocytes in the lung correlate with resistance to infection with Mycobacterium tuberculosis.

Authors:  A A Chackerian; T V Perera; S M Behar
Journal:  Infect Immun       Date:  2001-04       Impact factor: 3.441

6.  Differential regulation of complement factor H and C3 production in human umbilical vein endothelial cells by IFN-gamma and IL-1.

Authors:  R A Brooimans; A A van der Ark; W A Buurman; L A van Es; M R Daha
Journal:  J Immunol       Date:  1990-05-15       Impact factor: 5.422

7.  Validation of a Novel Assay to Distinguish Bacterial and Viral Infections.

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8.  Disseminated tuberculosis in interferon gamma gene-disrupted mice.

Authors:  A M Cooper; D K Dalton; T A Stewart; J P Griffin; D G Russell; I M Orme
Journal:  J Exp Med       Date:  1993-12-01       Impact factor: 14.307

9.  The discovery and identification of a candidate proteomic biomarker of active tuberculosis.

Authors:  Jiyan Liu; Tingting Jiang; Liliang Wei; Xiuyun Yang; Chong Wang; Xing Zhang; Dandan Xu; Zhongliang Chen; Fuquan Yang; Ji-Cheng Li
Journal:  BMC Infect Dis       Date:  2013-10-29       Impact factor: 3.090

10.  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

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Journal:  Front Immunol       Date:  2022-05-20       Impact factor: 8.786

2.  Activation Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection.

Authors:  Ying Luo; Ying Xue; Liyan Mao; Qun Lin; Guoxing Tang; Huijuan Song; Wei Liu; Shutao Tong; Hongyan Hou; Min Huang; Renren Ouyang; Feng Wang; Ziyong Sun
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3.  Combination of HLA-DR on Mycobacterium tuberculosis-Specific Cells and Tuberculosis Antigen/Phytohemagglutinin Ratio for Discriminating Active Tuberculosis From Latent Tuberculosis Infection.

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Review 4.  New developments in tuberculosis diagnosis and treatment.

Authors:  Cara M Gill; Lorraine Dolan; Laura M Piggott; Anne Marie McLaughlin
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5.  Screening performance of C-reactive protein for active pulmonary tuberculosis in HIV-positive patients: A systematic review with a meta-analysis.

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6.  Comparison of interferon gamma release assay and CXCL9 gene expression assay for the detection of Mycobacterium bovis infection in African lions (Panthera leo).

Authors:  Rachiel Gumbo; Tashnica T Sylvester; Sven D C Parsons; Peter E Buss; Robin M Warren; Paul D van Helden; Michele A Miller; Tanya J Kerr
Journal:  Front Cell Infect Microbiol       Date:  2022-09-16       Impact factor: 6.073

7.  Serum Biomarker Profile Including CCL1, CXCL10, VEGF, and Adenosine Deaminase Activity Distinguishes Active From Remotely Acquired Latent Tuberculosis.

Authors:  Eveline M Delemarre; Laura van Hoorn; Aik W J Bossink; Julia Drylewicz; Simone A Joosten; Tom H M Ottenhoff; Onno W Akkerman; Delia Goletti; Elisa Petruccioli; Assunta Navarra; Brigitte T A van den Broek; Sanne P A Paardekooper; Ineke van Haeften; Leo Koenderman; Jan-Willem J Lammers; Steven F T Thijsen; Regina W Hofland; Stefan Nierkens
Journal:  Front Immunol       Date:  2021-10-07       Impact factor: 7.561

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