Journal of International Clinical Dental Research Organization (Jun 2024)

Genotypic Identification of Endodontic Bacteria Isolated from Berhampur, Odisha, India: First Insights

  • Asha Kiran Panda,
  • Sudipta Maity,
  • Bibhuti Prasad Barik

DOI
https://doi.org/10.4103/jicdro.jicdro_82_23
Journal volume & issue
Vol. 16, no. 1
pp. 76 – 79

Abstract

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Background: Endodontic infections caused by many bacterial species including Staphylococcus aureus, Klebsiella pneumonia and Salmonella enterica present a significant challenge in dental health. Accurate identification of these pathogens is crucial for effective treatment strategies. Aims and Objectives: The aim of the study was to utilize 16S rRNA genotypic analysis for the precise identification of certain bacterial strains isolated from endodontic infected tissues. Materials and Methods: Tissue samples were collected from patients with persistent endodontic infections and microbial cultures were prepared. Strains were isolated, purified. DNA extraction was performed and 16S rRNA gene amplification was carried out using polymerase chain reaction. Subsequently, the amplicons were sequenced and the sequences were compared with known reference sequences using bioinformatics programs. Phylogenetic analysis was conducted to ascertain the evolutionary relationships between the identified isolates and known strains. Results: To our knowledge, this is the first report focusing on genotypic identification of endodontic bacteria from Berhampur, Odisha, India. This study holds implications for species specific microbial ecology in dental infections facilitating quicker identification. Conclusion: Management strategies for endodontic infections may involve a systematic approach to identify, analyze and address the specific challenges such as diagnosis and endodontic emergencies, presented by each case. Focused and individualized treatment plans shall contribute to better clinical outcomes. Further detailed records can be maintained with genotype based treatment plan followed by post treatment outcomes to guide future decisions and research.

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