Volume 98, Issue 1
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



Leprosy is a chronic infectious disease with a broad spectrum of manifestations. Delays in attaining correct diagnosis permit progressive peripheral nerve damage that can produce irreversible disabilities. Tests detecting antigen-specific antibodies can aid the diagnostic process and potentially detect patients earlier. Reported tests have lacked optimal sensitivity and specificity; however, the need to develop new tests to aid early diagnosis still remains. In this study, we determined the sensitivity, specificity, positive predictive value, and negative predictive value of enzyme-linked immunosorbent assay (ELISA) using natural octyl disaccharide-leprosy IDRI diagnostic (NDO-LID). Serum samples from confirmed multibacillary patients ( = 338) and paucibacillary patients ( = 58) were evaluated and contrasted against samples from individuals without leprosy (100 healthy persons, 36 leishmaniasis or tuberculosis patients). ELISA detecting either antigen-specific IgM, IgG, or the combination of IgG and IgM (with protein A) were conducted. At a sensitivity of 78% among all patients, serum IgM antibodies against the NDO-LID conjugate were detected at a greater level than those recognizing phenolic glycolipid-I antigen (64% overall sensitivity), while providing similar specificity (97% versus 100%, respectively). Given the inclusion of the LID-1 protein within NDO-LID, we also detected conjugate-specific IgG within patient sera at a sensitivity of 81.6%. The use of protein A to simultaneously detect both antigen-specific IgG and IgM isotypes yielded the highest overall sensitivity of 86.3%. Taken together, our data indicate that the detection of both IgG and IgM antibodies against NDO-LID with protein A provided the best overall ability to detect Colombian leprosy patients.


Article metrics loading...

Loading full text...

Full text loading...


Data & Media loading...

  • Received : 23 Jun 2017
  • Accepted : 18 Aug 2017

Most Cited This Month

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error