Abstract | BACKGROUND: METHODS: Mycobacterium tuberculosis proteome microarrays were probed with serial sera from macaques representing various infection outcomes and with single-point human sera from tuberculosis suspects. Fluorescence intensity data were analyzed by calculating Z scores and associated P values. Temporal changes in macaque antibody responses were analyzed by polynomial regression. Correlations between human responses and sputum bacillary burden were assessed by quantile and hurdle regression. RESULTS: Macaque outcome groups exhibited distinct antibody profiles: early, transient responses in latent infection and stable antibody increase in active and reactivation disease. In humans, antibody levels and reactive protein numbers increased with bacillary burden. Responses to a subset of 10 proteins were more tightly associated with disease state than reactivity to the broader reactive proteome. CONCLUSIONS: Integration of macaque and human data reveals dynamic properties of antibody responses in relation to outcome and leads to actionable findings for translational research. These include the potential of antibody responses to detect acute infection and preclinical tuberculosis and to identify serodiagnostic proteins for the spectrum of bacillary burden in tuberculosis.
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Authors | Shajo Kunnath-Velayudhan, Amy L Davidow, Hui-Yun Wang, Douglas M Molina, Vu T Huynh, Hugh Salamon, Richard Pine, Gerd Michel, Mark D Perkins, Liang Xiaowu, Philip L Felgner, JoAnne L Flynn, Antonino Catanzaro, Maria L Gennaro |
Journal | The Journal of infectious diseases
(J Infect Dis)
Vol. 206
Issue 5
Pg. 697-705
(Sep 01 2012)
ISSN: 1537-6613 [Electronic] United States |
PMID | 22732925
(Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
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Chemical References |
- Antibodies, Bacterial
- Biomarkers
- Proteome
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Topics |
- Adult
- Animals
- Antibodies, Bacterial
(biosynthesis, blood)
- Biomarkers
(blood)
- Humans
- Macaca fascicularis
- Middle Aged
- Monkey Diseases
(immunology, microbiology)
- Mycobacterium tuberculosis
(immunology)
- Protein Array Analysis
- Proteome
(immunology)
- Proteomics
(methods)
- Regression Analysis
- Retrospective Studies
- Tuberculosis
(immunology, microbiology)
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