Literature DB >> 28921878

Simplifying sampling for African swine fever surveillance: Assessment of antibody and pathogen detection from blood swabs.

J Carlson1, L Zani1, T Schwaiger1, I Nurmoja2,3, A Viltrop3, A Vilem2, M Beer1, S Blome1.   

Abstract

African swine fever (ASF) is a notifiable disease with serious socio-economic consequences that has been present in wild boar in the Baltic States and Poland since 2014. An introduction of ASF is usually accompanied by increased mortality, making fallen wild boar and hunted animals with signs of disease the main target for early warning and passive surveillance. It is difficult, however, to encourage hunters and foresters to report and take samples from these cases. A pragmatic and easy sampling approach with quick-drying swabs could facilitate this. In this study, we further evaluated the use of dry blood swabs for the detection of ASFV antibody and genome with samples from animal trials and diagnostic submissions (blood, bone and organs) from Estonia. Compared to serum samples, dried blood swabs yielded 93.1% (95% confidence interval: [83.3, 98.1]) sensitivity and 100% [95.9, 100.0] specificity in a commercial ASFV antibody ELISA. Similarly, the swabs gave a sensitivity of 98.9% [93.4, 100.0] and a specificity of 98.1% [90.1, 100.0] for genome detection by a standard ASFV p72 qPCR when compared to EDTA blood. The same swabs were tested in a VP72-antibody lateral flow device, with a sensitivity of 94.7% [85.4, 98.9] and specificity of 96.1% [89.0, 99.2] compared to the serum ELISA. When GenoTube samples tested in ELISA and LFD were compared, the sensitivity was 96.3% [87.3, 99.5] and the specificity was 93.8% [86.0, 97.9]. This study demonstrates reliable detection of ASFV antibody and genome from swabs. A field test of the swabs with decomposed wild boar carcasses in an endemic area in Estonia also gave promising results. Thus, this technique is a practical approach for surveillance of ASF in both free and endemic areas.
© 2017 Blackwell Verlag GmbH.

Entities:  

Keywords:  African swine fever; antibody detection; diagnostics; early warning; forensic swab; genome detection; passive surveillance

Mesh:

Substances:

Year:  2017        PMID: 28921878     DOI: 10.1111/tbed.12706

Source DB:  PubMed          Journal:  Transbound Emerg Dis        ISSN: 1865-1674            Impact factor:   5.005


  7 in total

1.  Scientific Opinion on the assessment of the control measures of the category A diseases of Animal Health Law: African Swine Fever.

Authors:  Søren Saxmose Nielsen; Julio Alvarez; Dominique Joseph Bicout; Paolo Calistri; Klaus Depner; Julian Ashley Drewe; Bruno Garin-Bastuji; José Luis Gonzales Rojas; Christian Gortázar Schmidt; Mette Herskin; Virginie Michel; Miguel Ángel Miranda Chueca; Paolo Pasquali; Helen Clare Roberts; Liisa Helena Sihvonen; Hans Spoolder; Karl Ståhl; Antonio Velarde; Arvo Viltrop; Christoph Winckler; Kris De Clercq; Eyal Klement; Jan Arend Stegeman; Simon Gubbins; Sotiria-Eleni Antoniou; Alessandro Broglia; Yves Van der Stede; Gabriele Zancanaro; Inma Aznar
Journal:  EFSA J       Date:  2021-01-31

2.  HRP-conjugated-nanobody-based cELISA for rapid and sensitive clinical detection of ASFV antibodies.

Authors:  Huijun Zhao; Jiahui Ren; Shuya Wu; Haoran Guo; Yongkun Du; Bo Wan; Pengchao Ji; Yanan Wu; Guoqing Zhuang; Angke Zhang; Gaiping Zhang
Journal:  Appl Microbiol Biotechnol       Date:  2022-05-25       Impact factor: 5.560

Review 3.  Rift Valley Fever Virus, Japanese Encephalitis Virus, and African Swine Fever Virus: Three Transboundary, Vector-Borne, Veterinary Biothreats With Diverse Surveillance, and Response Capacity Needs.

Authors:  Rebekah C Kading; Edward O Abworo; Gabriel L Hamer
Journal:  Front Vet Sci       Date:  2019-12-13

4.  African Swine Fever Laboratory Diagnosis-Lessons Learned from Recent Animal Trials.

Authors:  Jutta Pikalo; Paul Deutschmann; Melina Fischer; Hanna Roszyk; Martin Beer; Sandra Blome
Journal:  Pathogens       Date:  2021-02-06

5.  Multiplex and visual detection of African Swine Fever Virus (ASFV) based on Hive-Chip and direct loop-mediated isothermal amplification.

Authors:  Yuan-Shou Zhu; Ning Shao; Jian-Wei Chen; Wen-Bao Qi; Yang Li; Peng Liu; Yan-Jing Chen; Su-Ying Bian; Yan Zhang; Sheng-Ce Tao
Journal:  Anal Chim Acta       Date:  2020-10-08       Impact factor: 6.558

6.  A CRISPR/Cas9 eraser strategy for contamination-free PCR end-point detection.

Authors:  Wei Lin; Tian Tian; Yongzhong Jiang; Erhu Xiong; Debin Zhu; Xiaoming Zhou
Journal:  Biotechnol Bioeng       Date:  2021-03-01       Impact factor: 4.395

Review 7.  African Swine Fever in Wild Boar in Europe-A Review.

Authors:  Carola Sauter-Louis; Franz J Conraths; Carolina Probst; Ulrike Blohm; Katja Schulz; Julia Sehl; Melina Fischer; Jan Hendrik Forth; Laura Zani; Klaus Depner; Thomas C Mettenleiter; Martin Beer; Sandra Blome
Journal:  Viruses       Date:  2021-08-30       Impact factor: 5.048

  7 in total

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