@article{23976,
  keywords = {Tuberculosis, Pulmonary Tuberculosis, Extrapulmonary tuberculosis, Synthetic peptide, ESAT, 6 antigen, Ag85A antigen},
  author = {Araujo Z and Giampietro F and Bochichio MLA and Palacios A and Dinis J and Isern J and Waard JH and Rada E and Borges R and Larrea CF and Villasmil A and Vanegas M and Enciso-Moreno JA and Patarroyo MA},
  title = {Immunologic evaluation and validation of methods using synthetic peptides derived from Mycobacterium tuberculosis for the diagnosis of tuberculosis infection.},
  abstract = {The goal of this study was to demonstrate the usefulness of an enzyme-linked immunosorbent assay (ELISA) for the serodiagnosis of pulmonary tuberculosis (PTB) and extrapulmonary TB (EPTB). This assay used 20 amino acid-long, non-overlapped synthetic peptides that spanned the complete Mycobacterium tuberculosis ESAT-6 and Ag85A sequences. The validation cohort consisted of 1,102 individuals who were grouped into the following five diagnostic groups: 455 patients with PTB, 60 patients with EPTB, 40 individuals with non-EPTB, 33 individuals with leprosy and 514 healthy controls. For the PTB group, two ESAT-6 peptides (12033 and 12034) had the highest sensitivity levels of 96.9% and 96.2%, respectively, and an Ag85A-peptide (29878) was the most specific (97.4%) in the PTB groups. For the EPTB group, two Ag85A peptides (11005 and 11006) were observed to have a sensitivity of 98.3% and an Ag85A-peptide (29878) was also the most specific (96.4%). When combinations of peptides were used, such as 12033 and 12034 or 11005 and 11006, 99.5% and 100% sensitivities in the PTB and EPTB groups were observed, respectively. In conclusion, for a cohort that consists entirely of individuals from Venezuela, a multi-antigen immunoassay using highly sensitive ESAT-6 and Ag85A peptides alone and in combination could be used to more rapidly diagnose PTB and EPTB infection.},
  year = {2013},
  journal = {Memórias do Instituto Oswaldo Cruz},
  volume = {108},
  pages = {131-9},
  month = {2013 Apr},
  issn = {1678-8060},
  url = {http://www.scielo.br/pdf/mioc/v108n2/0074-0276-mioc-108-02-0131.pdf},
  language = {eng},
}