Differentiating infected from vaccinated animals: Validation and application of NH-AGID assay in heifers immunized with Brucella abortus strain A19-∆VirB12

Differentiating infected from vaccinated animals is crucial for clinical diagnosis in brucellosis control. The objective of this study was to assess the performance of native hapten agar gel immuno-diffusion(NH-AGID) in differential identification of infected heifers from vaccined with strain A19-∆VirB12 and identifying shedding animals at the serologic level. 30 heifers were vaccined with A19-∆VirB12, and corresponding <b>s</b>erum and vaginal swab samples were collected at predetermined intervals. Serological assessments were conducted using the Rose-bengal test, serum agglutination test, competitive enzyme-linked immunosorbent assay and NH-AGID. <i>Brucella</i>-positive sera were further distinguished using differential identification ELISA and NH-AGID. Vaginal swab DNA was tested using AMOS-PCR and dual real-time fluorescence PCR. Results showed that NH-AGID demonstrated a high specificity and positive predictive values (PPV) for diagnosis of brucellosis. Additionally, the diagnostic accuracy of NH-AGID for infected and shedding animals was more than 90 %. Heifers vaccinated with A19-∆VirB12 were serologically confirmed as infected by NH-AGID and also tested positive by PCR. The application of NH-AGID effectively identified infected and shedding animals from vaccination with A19-∆VirB12, thereby supporting the brucellosis decontamination efforts.

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Journal
Veterinary and Animal Science
Published
2025-10-26
DOI
https://doi.org/10.1016/j.vas.2025.100530
Primary Topic
Brucella: diagnosis, epidemiology, treatment
Type
article
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article

Differentiating infected from vaccinated animals: Validation and application of NH-AGID assay in heifers immunized with Brucella abortus strain A19-∆VirB12

Xiaojing Ma, Weiming Yan, Feng Ye, Xin-ping Yi et al.
Veterinary and Animal Science
Brucella: diagnosis, epidemiology, treatment
article

Differentiating infected from vaccinated animals: Validation and application of NH-AGID assay in heifers immunized with Brucella abortus strain A19-∆VirB12

Xiaojing Ma, Weiming Yan, Feng Ye, Xin-ping Yi, Jiarui Zhang, Xu Zhang, Liya Liu, Gu WenXi
article en

Abstract

Differentiating infected from vaccinated animals is crucial for clinical diagnosis in brucellosis control. The objective of this study was to assess the performance of native hapten agar gel immuno-diffusion(NH-AGID) in differential identification of infected heifers from vaccined with strain A19-∆VirB12 and identifying shedding animals at the serologic level. 30 heifers were vaccined with A19-∆VirB12, and corresponding <b>s</b>erum and vaginal swab samples were collected at predetermined intervals. Serological assessments were conducted using the Rose-bengal test, serum agglutination test, competitive enzyme-linked immunosorbent assay and NH-AGID. <i>Brucella</i>-positive sera were further distinguished using differential identification ELISA and NH-AGID. Vaginal swab DNA was tested using AMOS-PCR and dual real-time fluorescence PCR. Results showed that NH-AGID demonstrated a high specificity and positive predictive values (PPV) for diagnosis of brucellosis. Additionally, the diagnostic accuracy of NH-AGID for infected and shedding animals was more than 90 %. Heifers vaccinated with A19-∆VirB12 were serologically confirmed as infected by NH-AGID and also tested positive by PCR. The application of NH-AGID effectively identified infected and shedding animals from vaccination with A19-∆VirB12, thereby supporting the brucellosis decontamination efforts.

Veterinary and Animal ScienceVol. 30
Xinjiang Production and Construction Corps (CN), Xinjiang Academy of Animal Science (CN)
Openalex Percentile: Top 67%
Brucella: diagnosis, epidemiology, treatment
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Differentiating infected from vaccinated animals: Validation and application of NH-AGID assay in heifers immunized with Brucella abortus strain A19-∆VirB12 — Xiaojing Ma, Weiming Yan, et al. · Veterinary and Animal Science (2025) | TGRS Research Map | TGRS