A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus

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A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus. / Olesen, Ann Sofie; Rasmussen, Thomas Bruun; Nielsen, Søren Saxmose; Belsham, Graham J.; Boklund, Anette; Ploegaert, Tosca; Moonen-Leusen, Bernie; Blome, Sandra; Bøtner, Anette.

I: Pathogens, Bind 11, 325, 2022, s. 1-14.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Olesen, AS, Rasmussen, TB, Nielsen, SS, Belsham, GJ, Boklund, A, Ploegaert, T, Moonen-Leusen, B, Blome, S & Bøtner, A 2022, 'A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus', Pathogens, bind 11, 325, s. 1-14. https://doi.org/10.3390/pathogens11030325

APA

Olesen, A. S., Rasmussen, T. B., Nielsen, S. S., Belsham, G. J., Boklund, A., Ploegaert, T., Moonen-Leusen, B., Blome, S., & Bøtner, A. (2022). A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus. Pathogens, 11, 1-14. [325]. https://doi.org/10.3390/pathogens11030325

Vancouver

Olesen AS, Rasmussen TB, Nielsen SS, Belsham GJ, Boklund A, Ploegaert T o.a. A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus. Pathogens. 2022;11:1-14. 325. https://doi.org/10.3390/pathogens11030325

Author

Olesen, Ann Sofie ; Rasmussen, Thomas Bruun ; Nielsen, Søren Saxmose ; Belsham, Graham J. ; Boklund, Anette ; Ploegaert, Tosca ; Moonen-Leusen, Bernie ; Blome, Sandra ; Bøtner, Anette. / A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus. I: Pathogens. 2022 ; Bind 11. s. 1-14.

Bibtex

@article{2eaad8cc89214d3f83f05dfe299b5250,
title = "A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus",
abstract = "African swine fever is a viral disease of the family Suidae. Methods to detect and quantify African swine fever virus (ASFV) include qPCR and virus infectivity assays. Individual laboratories often use in-house procedures for these assays, which can hamper the comparison of results. The objective of this study was to estimate the probability of ASFV detection using these assays, and to determine the inter-test correlations between results. This was achieved by testing a panel of 80 samples at three reference laboratories. Samples were analysed using nucleic acid extraction and qPCR, as well as virus infectivity assays. For qPCR, a very high probability (ranging from 0.96 to 1.0) of detecting ASFV DNA was observed for all tested systems. For virus infectivity assays in cells, the probability of detecting infectious ASFV varied from 0.68 to 0.90 and was highest using pulmonary alveolar macrophages, followed by MARC145 cells, peripheral blood monocytes, and finally wild boar lung cells. Intraclass correlation coefficient estimates of 0.97 (0.96–0.98) between qPCR methods, 0.80 (0.74–0.85) to 0.94 (0.92–0.96) between virus infectivity assays, and 0.77 (0.68–0.83) to 0.95 (0.93–0.96) between qPCR methods and virus infectivity assays were obtained. These findings show that qPCR gives the highest probability for the detection of ASFV",
author = "Olesen, {Ann Sofie} and Rasmussen, {Thomas Bruun} and Nielsen, {S{\o}ren Saxmose} and Belsham, {Graham J.} and Anette Boklund and Tosca Ploegaert and Bernie Moonen-Leusen and Sandra Blome and Anette B{\o}tner",
year = "2022",
doi = "10.3390/pathogens11030325",
language = "English",
volume = "11",
pages = "1--14",
journal = "Pathogens",
issn = "2076-0817",
publisher = "M D P I AG",

}

RIS

TY - JOUR

T1 - A Multi-Laboratory Comparison of Methods for Detection and Quantification of African Swine Fever Virus

AU - Olesen, Ann Sofie

AU - Rasmussen, Thomas Bruun

AU - Nielsen, Søren Saxmose

AU - Belsham, Graham J.

AU - Boklund, Anette

AU - Ploegaert, Tosca

AU - Moonen-Leusen, Bernie

AU - Blome, Sandra

AU - Bøtner, Anette

PY - 2022

Y1 - 2022

N2 - African swine fever is a viral disease of the family Suidae. Methods to detect and quantify African swine fever virus (ASFV) include qPCR and virus infectivity assays. Individual laboratories often use in-house procedures for these assays, which can hamper the comparison of results. The objective of this study was to estimate the probability of ASFV detection using these assays, and to determine the inter-test correlations between results. This was achieved by testing a panel of 80 samples at three reference laboratories. Samples were analysed using nucleic acid extraction and qPCR, as well as virus infectivity assays. For qPCR, a very high probability (ranging from 0.96 to 1.0) of detecting ASFV DNA was observed for all tested systems. For virus infectivity assays in cells, the probability of detecting infectious ASFV varied from 0.68 to 0.90 and was highest using pulmonary alveolar macrophages, followed by MARC145 cells, peripheral blood monocytes, and finally wild boar lung cells. Intraclass correlation coefficient estimates of 0.97 (0.96–0.98) between qPCR methods, 0.80 (0.74–0.85) to 0.94 (0.92–0.96) between virus infectivity assays, and 0.77 (0.68–0.83) to 0.95 (0.93–0.96) between qPCR methods and virus infectivity assays were obtained. These findings show that qPCR gives the highest probability for the detection of ASFV

AB - African swine fever is a viral disease of the family Suidae. Methods to detect and quantify African swine fever virus (ASFV) include qPCR and virus infectivity assays. Individual laboratories often use in-house procedures for these assays, which can hamper the comparison of results. The objective of this study was to estimate the probability of ASFV detection using these assays, and to determine the inter-test correlations between results. This was achieved by testing a panel of 80 samples at three reference laboratories. Samples were analysed using nucleic acid extraction and qPCR, as well as virus infectivity assays. For qPCR, a very high probability (ranging from 0.96 to 1.0) of detecting ASFV DNA was observed for all tested systems. For virus infectivity assays in cells, the probability of detecting infectious ASFV varied from 0.68 to 0.90 and was highest using pulmonary alveolar macrophages, followed by MARC145 cells, peripheral blood monocytes, and finally wild boar lung cells. Intraclass correlation coefficient estimates of 0.97 (0.96–0.98) between qPCR methods, 0.80 (0.74–0.85) to 0.94 (0.92–0.96) between virus infectivity assays, and 0.77 (0.68–0.83) to 0.95 (0.93–0.96) between qPCR methods and virus infectivity assays were obtained. These findings show that qPCR gives the highest probability for the detection of ASFV

U2 - 10.3390/pathogens11030325

DO - 10.3390/pathogens11030325

M3 - Journal article

C2 - 35335649

VL - 11

SP - 1

EP - 14

JO - Pathogens

JF - Pathogens

SN - 2076-0817

M1 - 325

ER -

ID: 300019092