| Literature DB >> 23109967 |
Abstract
BACKGROUND: Toxoplasma gondii can infect all warm-blooded animals. Modified agglutination test (MAT) and ELISA are widely used for the detection of T. gondii antibodies. However, there is little information on their acceptability for detecting antibodies in companion animals.Entities:
Keywords: Cats; Dogs; ELISA; Modified agglutination test; Toxoplasma gondii
Year: 2012 PMID: 23109967 PMCID: PMC3469177
Source DB: PubMed Journal: Iran J Parasitol ISSN: 1735-7020 Impact factor: 1.012
The inter-agreement between MAT and ELISA in the course of detecting T. gondii antibodies in pet dogs
| MAT | ELISA | Total(Rate) | |
|---|---|---|---|
| + | - | ||
| + | 26 | 2 | 28 (23.1%) |
| - | 16 | 77 | 93 (76.9%) |
| Total (Rate) | 42 (34.7%) | 79 (65.3%) | 121 |
| Weighted Kappa (κ) | 0.644 | ||
| Standard error | 0.074 | ||
| 95% CI | 0.499 to 0.789 | ||
χ2=3.940, P<0.05.
The inter-agreement between MAT and ELISA in the course of detecting T. gondii antibodies in pet cats
| MAT | ELISA | Total(Rate) | |
|---|---|---|---|
| + | - | ||
| + | 9 | 2 | 11 (24.4%) |
| - | 7 | 27 | 34 (75.6%) |
| Total (Rate) | 16 (35.6%) | 29 (64.4%) | 45 |
| Weighted Kappa (κ) | 0.531 | ||
| Standard error | 0.133 | ||
| 95% CI | 0.270 to 0.791 | ||
χ2=1.323, P>0.05.
MAT titers for 92 ELISA-positive dogs and 53 ELISA-positive cats
| Samples | MAT(titer) | |||||||
|---|---|---|---|---|---|---|---|---|
| 0 | 1:10 | 1:20 | 1:40 | 1:80 | 1:160 | 1:320 | 1:640 | |
| ELISA-positive Dogs (n=92) | 19 | 22 | 17 | 15 | 5 | 4 | 8 | 2 |
| 20.7% | 23.9% | 18.5% | 16.3% | 5.4% | 4.3% | 8.7% | 2.2% | |
| ELISA-positive Cats (n=53) | 5 | 5 | 3 | 3 | 2 | 4 | 10 | 21 |
| 9.4% | 9.4% | 5.7% | 5.7% | 3.8% | 7.5% | 18.9% | 39.6% | |
Fig. 1Relationship between MAT titer and ELISA OD for 92 dogs and 53 cats. Data shown for individual dogs and cats were fitted to a linear regression. A and B show the agreement analysis through straight line regression between MAT titer and ELISA OD detected in dogs and cats, respectively. The middle line is the regression line, and the whole area between the outer lines is the prediction interval