Application of Bayesian modeling for diagnostic assays of Mycobacterium avium subsp. paratuberculosis in sheep and goats flocks

BMC Vet Res. 2022 Jan 18;18(1):47. doi: 10.1186/s12917-022-03141-7.

Abstract

Background: This study aimed to screen the sera of goats and sheep from flocks suspected of Mycobacterium avium subsp. paratuberculosis (MAP) infection by a newly standardized Mce-truncated ELISA (Mt-ELISA) kit for the detection of antibodies against MAP. Four diagnostic applied tests were evaluated including Indigenous plate-ELISA (IP-ELISA), Mt-ELISA, fecal Polymerase Chain Reaction (f-PCR) and fecal culture (FC).

Materials and methods: Assuming the absence of a gold standard, latent-class models in a Bayesian framework were used to estimate the diagnostic accuracy of the four tests for MAP.

Results: Mt-ELISA had higher Sensitivity (Se) in sheep (posterior median: 0.68 (95% Probability Interval (PI): 0.43-0.95), while IP-ELISA recorded the highest Se in goats as 0.83 (95% PI, 0.61-0.97). The f-PCR Se estimate slightly differed between species [sheep 0.36 (0.19-0.58), goats 0.19 (0.08-0.35)], while the Se of FC was similar between species [sheep 0.29 (0.15-0.51), goats 0.27 (0.13-0.45)]. The specificity estimates for all tests were high, close to unity, and similar between species.

Conclusion: Overall, the results showed that the Mt-ELISA method can be used for MAP detection in small ruminants' flocks.

Keywords: Bayesian latent class models; Culture; IP-ELISA; Mt-ELISA; PCR-IS900/413; Paratuberculosis; Small ruminants; Test evaluation.

MeSH terms

  • Animals
  • Bayes Theorem
  • Enzyme-Linked Immunosorbent Assay / veterinary
  • Feces
  • Goat Diseases* / diagnosis
  • Goats
  • Mycobacterium avium subsp. paratuberculosis*
  • Paratuberculosis* / diagnosis
  • Sensitivity and Specificity
  • Sheep
  • Sheep Diseases* / diagnosis