Developing diagnostic tools for canine periodontitis: combining molecular techniques and machine learning models.
Biomarkers
Canine
Diagnosis
Microbiome
Microbiota
Periodontal disease
Periodontitis
Quantitative polymerase chain reaction
qPCR
Journal
BMC veterinary research
ISSN: 1746-6148
Titre abrégé: BMC Vet Res
Pays: England
ID NLM: 101249759
Informations de publication
Date de publication:
18 Sep 2023
18 Sep 2023
Historique:
received:
24
10
2022
accepted:
19
07
2023
medline:
20
9
2023
pubmed:
19
9
2023
entrez:
18
9
2023
Statut:
epublish
Résumé
Dental plaque microbes play a key role in the development of periodontal disease. Numerous high-throughput sequencing studies have generated understanding of the bacterial species associated with both canine periodontal health and disease. Opportunities therefore exist to utilise these bacterial biomarkers to improve disease diagnosis in conscious-based veterinary oral health checks. Here, we demonstrate that molecular techniques, specifically quantitative polymerase chain reaction (qPCR) can be utilised for the detection of microbial biomarkers associated with canine periodontal health and disease. Over 40 qPCR assays targeting single microbial species associated with canine periodontal health, gingivitis and early periodontitis were developed and validated. These were used to quantify levels of the respective taxa in canine subgingival plaque samples collected across periodontal health (PD0), gingivitis (PD1) and early periodontitis (PD2). When qPCR outputs were compared to the corresponding high-throughput sequencing data there were strong correlations, including a periodontal health associated taxa, Capnocytophaga sp. COT-339 (r A qPCR-based approach is an accurate, sensitive, and cost-effective method for detection of microbial biomarkers associated with periodontal health and disease. Taken together, the correlation between qPCR and high-throughput sequencing outputs, and early accuracy insights, indicate the strategy offers a prospective route to the development of diagnostic tools for canine periodontal disease.
Sections du résumé
BACKGROUND
BACKGROUND
Dental plaque microbes play a key role in the development of periodontal disease. Numerous high-throughput sequencing studies have generated understanding of the bacterial species associated with both canine periodontal health and disease. Opportunities therefore exist to utilise these bacterial biomarkers to improve disease diagnosis in conscious-based veterinary oral health checks. Here, we demonstrate that molecular techniques, specifically quantitative polymerase chain reaction (qPCR) can be utilised for the detection of microbial biomarkers associated with canine periodontal health and disease.
RESULTS
RESULTS
Over 40 qPCR assays targeting single microbial species associated with canine periodontal health, gingivitis and early periodontitis were developed and validated. These were used to quantify levels of the respective taxa in canine subgingival plaque samples collected across periodontal health (PD0), gingivitis (PD1) and early periodontitis (PD2). When qPCR outputs were compared to the corresponding high-throughput sequencing data there were strong correlations, including a periodontal health associated taxa, Capnocytophaga sp. COT-339 (r
CONCLUSIONS
CONCLUSIONS
A qPCR-based approach is an accurate, sensitive, and cost-effective method for detection of microbial biomarkers associated with periodontal health and disease. Taken together, the correlation between qPCR and high-throughput sequencing outputs, and early accuracy insights, indicate the strategy offers a prospective route to the development of diagnostic tools for canine periodontal disease.
Identifiants
pubmed: 37723566
doi: 10.1186/s12917-023-03668-3
pii: 10.1186/s12917-023-03668-3
pmc: PMC10507867
doi:
Substances chimiques
nimesulide
V4TKW1454M
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
163Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
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