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A rapid test for avian influenza detects swine influenza virus
  1. G. M. Nava, DVM, MS, PhD1,
  2. R. Merino, DVM, MS, PhD2,
  3. R. Jarquin, BS MS, PhD3,
  4. N. Ledesma, DVM, MS, PhD2,
  5. I. Sanchez-Betancourt, DVM, MS, PhD2,
  6. E. Lucio, DVM, MBA4,
  7. E. Martinez, DVM2 and
  8. M. Escorcia, DVM, MS2
  1. 1Facultad de Quimica, Universidad Autonoma de Queretaro, Queretaro, Mexico
  2. 2Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autonoma de México, Mexico, DF, Mexico
  3. 3Department of Food Science and Technology, University of Tennessee, Knoxville, TN, USA
  4. 4Investigación Aplicada, Tehuacan, Puebla, Mexico;
  1. E-mail for correspondence: magdaescorcia{at}

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The A (H1N1) pdm09 influenza pandemic and, most recently, the A (H3N2) variant outbreak in several areas of the USA are examples of swine influenza viruses infecting humans. These cases highlight the need for reliable and rapid diagnostic tests to elucidate the epidemiology and evolution of swine influenza viruses (Smith and others 2009, Centers for Disease Control and Prevention 2012a, b, c). Currently, there are numerous commercial kits based on rapid-immunomigration techniques available for a fast detection of avian influenza viruses (Chen and others 2010). These rapid-immunomigration kits use specific antibodies against nucleoprotein (NP) of type A influenza viruses. Because the NP proteins are highly conserved between influenza viruses (Shu and others 1993, Li and others 2009), it is of relevance to assess if rapid-immunomigration kits designed for avian influenza are effective to detect influenza viruses in swine populations. Thus, the main goal of the present study was to evaluate the sensitivity and specificity of a commercial kit intended for avian samples, for samples obtained from backyard and commercial farm pigs.

All procedures in this study were performed following the Good Laboratory Practices and its recommended biosecurity guidelines (Centers for Disease Control and Prevention 2012a, b, c). Handling and sampling of animals were performed as indicated in the Mexican Official Regulation 062-ZOO-1999, which outlines technical specifications for the reproduction, care and use of laboratory animals (FMVZ 2012).

For the present study, we collected 48 nasal swabs from backyard pigs without clinical signs of respiratory disease from six different locations in a municipality, and 1513 nasal swabs from pigs with varying degrees of respiratory clinical signs from 17 commercial farms. Swabs from commercial farms were pooled for pigs of comparable age and housed in the same pen. This sample pooling generated a total of 226 samples. Samples were collected as recommended by the Manual of Diagnostic Tests and Vaccines for Terrestrial Animals 2012, and were kept frozen at −70°C until further processing (OIE 2012). Two reference antigens were used as positive controls, A/swine/New Jersey/11/76 (H1N1), GenBank accession number K00992; and A/swine/Minnesota/9088-2/98 (H3N2), GenBank accession number AF153234. These viruses were kept as stock at −70°C, in chicken-embryo allantoic fluid (H1N1) or Madin-Darby Canine Kidney (MDCK) cell-line (H3N2). Presence of influenza viruses in swab samples was evaluated by rapid-immunomigration test using a commercial-kit (Flu Detect, Synbiotics Corporation; California, USA) following the manufacturer's instructions. Detection of influenza virus was also performed by virus isolation (VI) and haemagglutination (HA) assays (OIE 2012). Samples positive in rapid-immunomigration and VI-HA assays were then tested by reverse transcription-PCR (RT-PCR). Viral RNA was extracted with the QIAamp Viral RNA mini kit (Qiagen, California, USA) as recommended by the manufacturer. RNA was amplified using primers targeting haemagglutinin genes H1 and H3 (H1-forward: 5′-GGGCAGTCAGGATATGACAGCT-3′ and H1-reverse: 5′-ATTGCCCCCAGGGAGACCAACA-3′, generating an amplicon of 528 bp; and H3-forward: 5′-TATGCCTGGTTTTCGCTCAA-3′ and H3-reverse: 5′-TTCGGGATTACAGTTTGTTG-3, producing an amplicon of 698 bp). Both primers-pairs were validated using negative (blue-eye disease virus) and positive controls (reference avian-influenza viruses). The RT-PCR reaction was carried out with the Super Script One Step RT-PCR with Platinum Taq kit (Invitrogen, California, USA) using a Perkin Elmer Cetus-480 thermocycler. The cycling protocol was as follows: 1 cycle 50°C (30 minutes), 94°C (2 minutes), 45 cycles of 94°C (15 seconds), 54.5°C (1 minutes), 72°C (1.45 minutes), followed by one cycle of 72°C (10 minutes). Specificity of the PCR assay was confirmed by visualising single bands corresponding to DNA fragments of the expected size via ethidium bromide/agarose gel electrophoresis, and by Sanger sequencing of the PCR products.

Diagnostic sensitivity and specificity of the rapid-immunomigration test were estimated by comparing the results obtained via VI-HA and RT-PCR assays. Agreement between assays was established by calculating the κ value coefficient with the Win Episcope V.2.0 software (Thrusfield and others 2001). Interpretation of the κ value is as follows: <0=none, 0.00–0.20=minimum, 0.21–0.40=regular, 0.41–0.60=good, 0.61–0.80=excellent and 0.81–1.00=almost perfect (Morilla and Gonzalez 1998, Viera and Garret 2005).

Analysis of samples from backyard pigs without respiratory clinical signs identified seven influenza-positive samples by the rapid-immunomigration test; from these, only one was confirmed as positive in both, VI-HA and RT-PCR assays. Sensitivity of immunomigration test was 100 per cent, meanwhile the specificity was 87 per cent. Estimated κ value was 0.45, defined as good agreement between tests. In samples from commercial farms, animals with respiratory clinical signs, five influenza-positive samples were detected in the immunomigration test, and all of them were confirmed as positive in VI-HA and RT-PCR assays. In this case, sensitivity and specificity of the immunomigration test was 100 per cent with a κ value equal to 1.0, corresponding to an agreement between assays classified as almost perfect (Table 1). Together, these results indicate that this rapid-immunomigration test is an effective biomedical tool for influenza A virus surveillance in animal populations. In fact, it has been shown that the rapid-immunomigration test is a good surveillance tool for detection of influenza viruses in farm and waterfowl avian populations (Chua and others 2007, Felt and others 2008, Loth and others 2008, Spackman and others 2009), as well as experimental ferrets (Wan and others 2008, Song and others 2009). It is worth pointing out that the specificity and κ values were lower in samples from pigs without respiratory clinical signs than samples from animals with signs of respiratory disease. This lower performance in apparently healthy animals could be associated with samples recovered from animals with low influenza activity (Chua and others 2007). The sensitivity of influenza antigen-detection methods is directly influenced by the concentration of viral particles in the samples (Dugan and others 2008). Thus, sensitivities are higher in samples obtained from sick and dead animals than samples from apparently healthy animals (Chua and others 2007, Marche and Van den berg 2010, Sanchez and others 2010). Therefore, influenza virus surveillance from clinically healthy populations should be taken with caution.


 ​Comparison of results from three tests for detection of influenza A virus in nasal swab samples from pigs with or without signs of respiratory disease

In conclusion, the present study indicates that the rapid-immunomigration test is a rapid and reliable surveillance tool for detection of influenza viruses in farm and backyard animal populations due to its sensitivity and specificity. More important, this diagnostic tool is easy to use, fast and straightforward in field conditions. We believe this diagnostic assay could be an important tool to perform rapid animal population screens in regional or national influenza virus surveillance programmes.


The authors thank Dr Humberto Ramírez Mendoza (FMVZ-UNAM) for providing the H1N1 and H3N2 viruses. Also, thanks to Dr Patty Miller for helping with the English editing of this manuscript.

  • Accepted September 13, 2013.


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  • Provenance: Not commissioned; externally peer reviewed

  • Funding This project was supported by the Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT) IN 201110 from the Universidad Nacional Autónoma de México (UNAM) and by the SSA/IMSS/ISSSTE/CONACYT Salud-2009-CO2-126619 project.

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