The Journal of Infectious Diseases · 2012 · 74 citations · 19 references
Life SciencesImmunologyInfectious DiseasesClinical ImmunologyImmunology Of Infectious DiseasesProteomicsAntibody CharacterizationAntibody FunctionLatent Tuberculosis InfectionProteomic ProfilingQuantitative ProteomicsTranslational ProteomicsActive Pulmonary TuberculosisDisease-state ModelingMycobacterium Tuberculosis InfectionP-valuesReference SeraTuberculosis Antigen DetectionTuberculosis Biomarker DiscoveryTuberculosis Biomarkers
BACKGROUND: Biomarkers of progression from latent Mycobacterium tuberculosis infection to active tuberculosis are needed. We assessed correlations between infection outcome and antibody responses in macaques and humans by high-throughput, proteome-scale serological studies. 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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Roger Koenker, Gilbert W. Bassett · Econometrica · 1978 · 12.9K citations
Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence
Stewart T. Cole, Roland Brosch, Julian Parkhill et al. · Nature · 1998 · 7.9K citations · Full text
Specification and testing of some modified count data models
John Mullahy · Journal of Econometrics · 1986 · 1.8K citations
Robust Tests for Heteroscedasticity Based on Regression Quantiles
Roger Koenker, Gilbert W. Bassett · Econometrica · 1982 · 1.6K citations
Business, Finance, Econometrics +13