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Pathogens
Article . 2022 . Peer-reviewed
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Pathogens
Article . 2022
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Impact of ASFV Detergent Inactivation on Biomarkers in Serum and Saliva Samples

Authors: Lorena Franco-Martínez; Martin Beer; Silvia Martínez-Subiela; Edgar García-Manzanilla; Sandra Blome; Tessa Carrau;

Impact of ASFV Detergent Inactivation on Biomarkers in Serum and Saliva Samples

Abstract

African swine fever (ASF) is a notifiable viral disease of domestic and wild suids. Despite intensive research efforts, the pathogenesis of the disease is still far from being understood. Analysis of biomarkers in different body fluids may supplement traditional pathogenesis studies. As reliable protocols are often established in laboratories with lower biosafety, the reliable inactivation of samples is crucial. The objective of this study was to find a procedure that inactivates the virus while preserving the biomarkers for downstream analyses. To this means, three different inactivation protocols were employed, namely Tergitol-type NP-40 (NP-40), polyoxyethylene-p-t-octylphenol (Triton X-100) and one with 95 °C heating. It could be demonstrated that all samples treated with 0.5% (v/v) concentration of both detergents showed an absence of virus infectivity. The same was true for heated samples. However, heated serum was not suitable for analyses. Next, the impact of treatment on biomarker readouts was assessed. While all protocols had an impact on the detection of biomarkers, correlation was retained. In particular, NP-40 may be the desired detergent for more accurate measurements while achieving efficient virus inactivation. Based on these studies, samples can be reliably inactivated for most biomarker analyses, and thus broader interdisciplinary cooperation is possible.

Keywords

saliva, heat treatment, pathogenesis, R, biomarkers, Article, detergent treatment, virus inactivation, Medicine, African swine fever, impact of treatment on biomarkers, serum

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
gold