A real-time PCR signature to discriminate between tuberculosis and other pulmonary diseases

Tuberculosis

Volumn 95, Issue 4, 2015, Pages 421-425

  Laux Da Costa, Lucas ^a,b   Delcroix, Melaine ^c   Dalla Costa, Elis R ^a   Prestes, Isaías V ^b   Milano, Mariana ^a,b   Francis, Steve S ^c   Unis, Gisela ^d   Silva, Denise R ^b,e   Riley, Lee W ^c   Rossetti, Maria L R ^a,f  

^a Fundacao Estadual de Producao e Pesquisa em Saude   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d Partenon Sanatorium Hospital   (Brazil)

^e HOSPITAL DE CLÍNICAS DE PORTO ALEGRE   (Brazil)

^f UNIVERSIDADE LUTERANA DO BRASIL   (Brazil)

Author keywords

Biomarkers; CD64; Diagnostics; GBP5; GZMA; Tuberculosis

Indexed keywords

FC RECEPTOR; FC RECEPTOR1A; FC RECEPTOR1B; GRANZYME A; GUANINE NUCLEOTIDE BINDING PROTEIN; GUANINE NUCLEOTIDE BINDING PROTEIN 5; LACTOFERRIN; UNCLASSIFIED DRUG; FCGR1A PROTEIN, HUMAN; GBP5 PROTEIN, HUMAN; GENETIC MARKER; GRANZYME; GZMA PROTEIN, HUMAN;

ADULT; ARTICLE; ASTHMA; BLOOD ANALYSIS; BRAZIL; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; LUNG DISEASE; MALE; PRIORITY JOURNAL; PROTEIN EXPRESSION; REAL TIME POLYMERASE CHAIN REACTION; STREPTOCOCCUS PNEUMONIA; TUBERCULOSIS; ADOLESCENT; AGED; AREA UNDER THE CURVE; DECISION TREE; DIFFERENTIAL DIAGNOSIS; GENE EXPRESSION PROFILING; GENETIC MARKER; GENETICS; HOST PATHOGEN INTERACTION; MICROBIOLOGY; MIDDLE AGED; MYCOBACTERIUM TUBERCULOSIS; PATHOGENICITY; PNEUMONIA; PREDICTIVE VALUE; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; TUBERCULOSIS, PULMONARY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AREA UNDER CURVE; ASTHMA; BRAZIL; DECISION TREES; DIAGNOSIS, DIFFERENTIAL; FEMALE; GENE EXPRESSION PROFILING; GENETIC MARKERS; GRANZYMES; GTP-BINDING PROTEINS; HOST-PATHOGEN INTERACTIONS; HUMANS; MALE; MIDDLE AGED; MYCOBACTERIUM TUBERCULOSIS; PNEUMONIA; PREDICTIVE VALUE OF TESTS; REAL-TIME POLYMERASE CHAIN REACTION; RECEPTORS, IGG; ROC CURVE; TUBERCULOSIS, PULMONARY; YOUNG ADULT;

EID: 84931562172     PISSN: 14729792     EISSN: 1873281X     Source Type: Journal    
DOI: 10.1016/j.tube.2015.04.008     Document Type: Article

References (15)

1. M.P. Berry, C.M. Graham, F.W. McNab, Z. Xu, S.A. Bloch, T. Oni, and A. O'Garra An interferon-inducible neutrophil-driven blood transcriptional signature in human tuberculosis Nature 466 7309 2010 973 977 10.1038/nature09247
2. S. Blankley, M.P. Berry, C.M. Graham, C.I. Bloom, M. Lipman, and A. O'Garra The application of transcriptional blood signatures to enhance our understanding of the host response to infection: the example of tuberculosis Philos Trans R Soc Lond B Biol Sci 369 1645 2014 20130427 10.1098/rstb.2013.0427
3. C.I. Bloom, C.M. Graham, M.P. Berry, F. Rozakeas, P.S. Redford, Y. Wang, and A. O'Garra Transcriptional blood signatures distinguish pulmonary tuberculosis, pulmonary sarcoidosis, pneumonias and lung cancers PLoS One 8 8 2013 e70630 10.1371/journal.pone.0070630
4. M. Jacobsen, D. Repsilber, A. Gutschmidt, A. Neher, K. Feldmann, H.J. Mollenkopf, and S.H. Kaufmann Candidate biomarkers for discrimination between infection and disease caused by Mycobacterium tuberculosis J Mol Med Berl 85 6 2007 613 621 10.1007/s00109-007-0157-6
5. S.A. Joosten, H.A. Fletcher, and T.H. Ottenhoff A helicopter perspective on TB biomarkers: pathway and process based analysis of gene expression data provides new insight into TB pathogenesis PLoS One 8 9 2013 e73230 10.1371/journal.pone.0073230
6. M. Kaforou, V.J. Wright, T. Oni, N. French, S.T. Anderson, N. Bangani, and M. Levin Detection of tuberculosis in HIV-infected and -uninfected African adults using whole blood RNA expression signatures: a case-control study PLoS Med 10 10 2013 e1001538 10.1371/journal.pmed.1001538
7. L.L. Koth, O.D. Solberg, J.C. Peng, N.R. Bhakta, C.P. Nguyen, and P.G. Woodruff Sarcoidosis blood transcriptome reflects lung inflammation and overlaps with tuberculosis Am J Respir Crit Care Med 184 10 2011 1153 1163 10.1164/rccm.201106-1143OC
8. A. Liaw, and M. Wiener Classification and regression by randomForest R News 2 3 2002 18 22
9. C. Lu, J. Wu, H. Wang, S. Wang, N. Diao, F. Wang, and W. Zhang Novel biomarkers distinguishing active tuberculosis from latent infection identified by gene expression profile of peripheral blood mononuclear cells PLoS One 6 8 2011 e24290 10.1371/journal.pone.0024290
10. J. Maertzdorf, D. Repsilber, S.K. Parida, K. Stanley, T. Roberts, G. Black, and S.H. Kaufmann Human gene expression profiles of susceptibility and resistance in tuberculosis Genes Immun 12 1 2011 15 22 10.1038/gene.2010.51
11. J. Maertzdorf, J. Weiner 3rd, H.J. Mollenkopf, T.B. Network, T. Bauer, A. Prasse, and S.H. Kaufmann Common patterns and disease-related signatures in tuberculosis and sarcoidosis Proc Natl Acad Sci U S A 109 20 2012 7853 7858 10.1073/pnas.1121072109
12. T.H. Ottenhoff, R.H. Dass, N. Yang, M.M. Zhang, H.E. Wong, E. Sahiratmadja, and M.L. Hibberd Genome-wide expression profiling identifies type 1 interferon response pathways in active tuberculosis PLoS One 7 9 2012 e45839 10.1371/journal.pone.0045839
13. R.C. Team A language and environment for statistical computing R Found Stat Comput Vienna, Austria 2011 ISBN: 3-900051-07-0
14. J. Weiner, J. Maertzdorf, and S.H. Kaufmann The dual role of biomarkers for understanding basic principles and devising novel intervention strategies in tuberculosis Ann N Y Acad Sci 1283 2013 22 29 10.1111/j.1749-6632.2012.06802.x
15. WHO Global tuberculosis report 2013 2013 World Health Organization Geneva ix xi