title: Disease state differentiation and identification of tuberculosis biomarkers via native antigen array profiling.
abstract: A critical element of tuberculosis control is early and sensitive diagnosis of infection and disease. Our laboratories recently showed that different stages of disease were distinguishable via two-dimensional Western blot analyses of Mycobacterium tuberculosis culture filtrate proteins. However, this methodology is not suitable for high throughput testing. Advances in protein microarray technology provide a realistic mechanism to screen a large number of serum samples against thousands of proteins to identify biomarkers of disease states. Techniques were established for separation of native M. tuberculosis cytosol and culture filtrate proteins, resulting in 960 unique protein fractions that were used to generate protein microarrays. Evaluation of serological reactivity from 42 patients in three tuberculosis disease states and healthy purified protein derivative-positive individuals demonstrated that human immunodeficiency virus (HIV)-negative cavitary and noncavitary tuberculosis (TB) patients' sera recognized 126 and 59 fractions, respectively. Sera from HIV patients coinfected with TB recognized 20 fractions of which five overlapped with those recognized by non-HIV TB patients' sera and 15 were unique to the HIV+TB+ disease state. Identification of antigens within the reactive fractions yielded 11 products recognized by both cavitary and noncavitary TB patients' sera and four proteins (HspX, MPT64, PstS1, and TrxC) specific to cavitary TB patients. Moreover four novel B cell antigens (BfrB, LppZ, SodC, and TrxC) of human tuberculosis were identified.
authors.affiliation: Mycobacteria Research Laboratories, Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado 80521, USA.
authors.forename: Mark J
authors.initials: MJ
authors.lastname: Sartain
authors.forename: Richard A
authors.initials: RA
authors.lastname: Slayden
authors.forename: Krishna K
authors.initials: KK
authors.lastname: Singh
authors.forename: Suman
authors.initials: S
authors.lastname: Laal
authors.forename: John T
authors.initials: JT
authors.lastname: Belisle
mesh_terms: D000595:Amino Acid Sequence; D000942:Antigens, Bacterial / Q000097:blood*; D001402:B-Lymphocytes / Q000276:immunology*; D015415:Biomarkers / Q000097:blood; D015658:HIV Infections / Q000276:immunology; D006801:Humans; D008403:Mass Screening / Q000379:methods*; D008969:Molecular Sequence Data; D009169:Mycobacterium tuberculosis / Q000276:immunology*; D040081:Protein Array Analysis / Q000379:methods*; D014397:Tuberculosis, Pulmonary / Q000175:diagnosis*
chemical_list: D000942:Antigens, Bacterial; D015415:Biomarkers