Detection and quantification of <i>Brucella abortus</i> DNA in water buffaloes ( <i>bubalus bubalis</i> ) using droplet digital polymerase chain reaction

Brucellosis represents a major public health concern worldwide. Human transmission is mainly due to the consumption of unpasteurized milk and dairy products of infected animals. The gold standard for the diagnosis of <i>Brucella</i> spp in ruminants is the bacterial isolation, but it is time-consuming. Polymerase Chain Reaction (PCR) is a quicker and more sensitive technique than bacterial culture. Droplet digital PCR (ddPCR) is a novel molecular assay showing high sensitivity in samples with low amount of DNA and lower susceptibility to amplification inhibitors. Present study aimed to develop a ddPCR protocol for the detection of <i>Brucella abortus</i> in buffalo tissue samples. The protocol was validated using proficiency test samples for <i>Brucella</i> spp by real time qPCR. Furthermore, 599 tissue samples were examined. Among reference materials, qPCR and ddPCR demonstrated same performance and were able to detect up to 225 CFU/mL. Among field samples, ddPCR showed higher sensitivity (100%), specificity and accuracy of 93.4% and 94.15%, respectively. ddPCR could be considered a promising technique to detect <i>B. abortus</i> in veterinary specimens, frequently characterized by low amount of bacteria, high diversity in matrices and species and poor storage conditions.

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Publication Details

Journal
Veterinary Quarterly
Published
2024-08-15
DOI
https://doi.org/10.1080/01652176.2024.2390944
Citations
4
Primary Topic
Brucella: diagnosis, epidemiology, treatment
Type
article
Field-Weighted Citation Impact
2.55

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article

Detection and quantification of Brucella abortus DNA in water buffaloes ( bubalus bubalis ) using droplet digital polymerase chain reaction

Alessia Pucciarelli, Manuela Tittarelli, Sante Roperto, Ornella Valvini et al.
4 citations
Veterinary Quarterly
Brucella: diagnosis, epidemiology, treatment
2.55
article

Detection and quantification of Brucella abortus DNA in water buffaloes ( bubalus bubalis ) using droplet digital polymerase chain reaction

Alessia Pucciarelli, Manuela Tittarelli, Sante Roperto, Ornella Valvini, Lorena Cardillo, Claudio de Martinis, Francesca De Falco, Michele Napoletano, Emanuela Sannino, Gerardo Picazio, Maria Ottaiano, Anna Cutarelli, Giorgia Borriello, Giovanna Fusco, Roberta Pellicanò, Esterina De Carlo, Anna Cerrone
article en
4 citations

Abstract

Brucellosis represents a major public health concern worldwide. Human transmission is mainly due to the consumption of unpasteurized milk and dairy products of infected animals. The gold standard for the diagnosis of <i>Brucella</i> spp in ruminants is the bacterial isolation, but it is time-consuming. Polymerase Chain Reaction (PCR) is a quicker and more sensitive technique than bacterial culture. Droplet digital PCR (ddPCR) is a novel molecular assay showing high sensitivity in samples with low amount of DNA and lower susceptibility to amplification inhibitors. Present study aimed to develop a ddPCR protocol for the detection of <i>Brucella abortus</i> in buffalo tissue samples. The protocol was validated using proficiency test samples for <i>Brucella</i> spp by real time qPCR. Furthermore, 599 tissue samples were examined. Among reference materials, qPCR and ddPCR demonstrated same performance and were able to detect up to 225 CFU/mL. Among field samples, ddPCR showed higher sensitivity (100%), specificity and accuracy of 93.4% and 94.15%, respectively. ddPCR could be considered a promising technique to detect <i>B. abortus</i> in veterinary specimens, frequently characterized by low amount of bacteria, high diversity in matrices and species and poor storage conditions.

Veterinary QuarterlyVol. 44(1)
Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise G. Caporale (IT), Istituto Zooprofilattico Sperimentale del Mezzogiorno (IT), University of Naples Federico II (IT)
Ministero della Salute
Clean water and sanitation
Openalex Percentile: Top 11%
Brucella: diagnosis, epidemiology, treatment
2.55
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