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A multiplex assay for the detection of antibodies to relevant swine pathogens in serum
  • +6
  • Cristina Aira Pino,
  • Maren Penning,
  • Martin Eiden,
  • Anne Balkema-Buschmann,
  • Sandra Blome,
  • Katrin Strutzberg-Minder,
  • Lissett López,
  • Paloma Rueda,
  • Patricia Sastre
Cristina Aira Pino
Eurofins-Ingenasa

Corresponding Author:caira@ingenasa.com

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Maren Penning
Friedrich-Loeffler-Institut Bundesforschungsinstitut fur Tiergesundheit, Institute of Novel and Emerging Infectious Diseases
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Martin Eiden
Friedrich-Loeffler-Institut, Germany
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Anne Balkema-Buschmann
Friedrich-Loeffler-Institut Bundesforschungsinstitut fur Tiergesundheit
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Sandra Blome
Friedrich-Loeffler-Institute
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Katrin Strutzberg-Minder
IVD Innovative Veterinnary Diagnostics
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Lissett López
Eurofins-Ingenasa
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Paloma Rueda
INGENASA
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Patricia Sastre
INGENASA
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Abstract

Livestock industry supports the livelihood of around 1.3 billion people in the world, with swine industry contributing with 30 % of total livestock production worldwide. To maintain and guarantee this production, a pivotal point according to the OIE is addressing potential biohazards. To control them, permanent sero-surveillance is crucial to achieve more focused veterinary public health intervention and prevention strategies, to break the chains of transmission, and to enable fast responses against outbreaks. Within this context, multiplex assays are powerful tools with the potential to simplify surveillance programs, since they reduce time, labour, and variability within analysis. In the present work, we developed a multiplex bead-based assay for the detection of specific antibodies to six relevant pathogens affecting swine: ASFV, CSFV, PRRSV, SIV, TB, and HEV. The most immunogenic target antigen of each pathogen was selected as the target protein to coat different microsphere regions in order to develop this multiplex assay. A total of 1544 serum samples from experimental infections as well as field samples were included in the analysis. The 6plex assay exhibited credible diagnostic parameters with sensitivities ranging from 87.0 % to 97.5 % and specificities ranging from 87.9 % to 100.0 %, demonstrating it to be a potential high throughput tool for surveillance of infectious diseases in swine.
09 Apr 2021Submitted to Transboundary and Emerging Diseases
09 Apr 2021Submission Checks Completed
09 Apr 2021Assigned to Editor
14 Apr 2021Reviewer(s) Assigned
24 May 2021Review(s) Completed, Editorial Evaluation Pending
25 May 2021Editorial Decision: Revise Minor