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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dirros.openscience.si/IzpisGradiva.php?id=28991"><dc:title>Digital PCR outperforms quantitative real-time PCR for the detection and quantification of major periodontal pathobionts</dc:title><dc:creator>Munjaković,	Haris	(Avtor)
	</dc:creator><dc:creator>Povšič,	Katja	(Avtor)
	</dc:creator><dc:creator>Poljak,	Mario	(Avtor)
	</dc:creator><dc:creator>Seme,	Katja	(Avtor)
	</dc:creator><dc:creator>Gašperšič,	Rok	(Avtor)
	</dc:creator><dc:creator>Skubic,	Lucijan	(Avtor)
	</dc:creator><dc:subject>digital PCR</dc:subject><dc:subject>oral microbiology</dc:subject><dc:subject>periodontal disease</dc:subject><dc:subject>quantitative real-time PCR</dc:subject><dc:subject>subgingival plaque</dc:subject><dc:description>Background: This study comparatively evaluated the analytical and diagnostic performance of a multiplex digital polymerase-chain reaction (dPCR) assay and a quantitative real-time PCR (qPCR) for the simultaneous detection and quantification of periodontal pathobionts: Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, and Fusobacterium nucleatum. Materials and methods: Subgingival plaque samples from 20 periodontitis patients and 20 periodontally healthy controls were analyzed. Several analytical parameters of the dPCR assay, optimized using DNA standards, were assessed versus qPCR: dynamic range linearity, precision, accuracy, prevalence, sensitivity, specificity, and concordance. The statistical analyses included Mann-Whitney U test, Wilcoxon test, McNemar's test, and Bland-Altman plots. Results: dPCR showed high linearity (R2 &gt; 0.99) and lower intra-assay variability (median CV%: 4.5%) than qPCR (p = 0.020), with comparable accuracy and agreement. dPCR demonstrated superior sensitivity, detecting lower bacterial loads, particularly for P. gingivalis and A. actinomycetemcomitans. The Bland-Altman plots highlighted good agreement at medium/high loads but discrepancies at low concentrations (&lt; 3 log10Geq/mL), resulting in qPCR false negatives and a 5-fold underestimation of the prevalence of A. actinomycetemcomitans in periodontitis patients. High concordance between the assays was observed for F. nucleatum across both study groups. Conclusions: dPCR outperformed qPCR for quantifying periodontal pathobionts and had superior sensitivity and precision, making it particularly effective in detecting low-level bacterial loads.</dc:description><dc:date>2025</dc:date><dc:date>2026-04-15 14:56:33</dc:date><dc:type>Neznano</dc:type><dc:identifier>28991</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
