1. Identification of promising plasma immune biomarkers to differentiate active pulmonary tuberculosis
- Author
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Verônica Soares Brauer, Priscilla Mariane Cardoso-Silva, Matthew Schaller, Laurence Rodrigues do Amaral, Fabiani Gai Frantz, Valdes Roberto Bollela, Leonardo J. Galvão-Lima, Luana Silva Soares, Milena S. Espindola, Fabiana Albani Zambuzi, and Matheus de Souza Gomes
- Subjects
Adult ,Male ,0301 basic medicine ,Tuberculosis ,Immunology ,Lipopolysaccharide Receptors ,Disease ,Biochemistry ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Pulmonary tuberculosis ,Active disease ,medicine ,Humans ,Immunology and Allergy ,Biomarker discovery ,Tuberculosis, Pulmonary ,Molecular Biology ,Latent tuberculosis ,Tetraspanin 30 ,business.industry ,Hematology ,Active tuberculosis ,medicine.disease ,030104 developmental biology ,Cytokines ,Female ,business ,Biomarkers ,030215 immunology - Abstract
Although much research has been done related to biomarker discovery for tuberculosis infection, a set of biomarkers that can discriminate between active and latent TB diseases remains elusive. In the current study we correlate clinical aspects of TB disease with changes in the immune response as determined by biomarkers detected in plasma. Our study measured 18 molecules in human plasma in 17 patients with active disease (APTB), 14 individuals with latent tuberculosis infection (LTBI) and 16 uninfected controls (CTRL). We found that active tuberculosis patients have increased plasma levels of IL-6, IP-10, TNF-α, sCD163 and sCD14. Statistical analysis of these biomarkers indicated that simultaneous measurement of sCD14 and IL-6 was able to diagnose active tuberculosis infection with 83% accuracy. We also demonstrated that TNF-α and sCD163 were correlated with tuberculosis severity. We showed that the simultaneous detection of both plasma sCD14 and IL-6 is a promising diagnostic approach to identify APTB, and further, measurement of TNF-α and sCD163 can identify the most severe cases of tuberculosis.
- Published
- 2016
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