The variation of the microbiology in endodontic treatment of periapical periodontitis using new generation sequenced 16S rDNA metagenomics

  • Dương Thị Phương Linh Bệnh viện Răng Hàm Mặt Trung ương Hà Nội
  • Nguyễn Vũ Trung Viện Pasteur TP. Hồ Chí Minh
  • Nguyễn Hữu An Viện Công nghệ Phacogen

Main Article Content

Keywords

Metagenomics, root canal irrigation

Abstract

Objective: To describe the composition and fluctuations of the microbiota in root cannal of teeth with periapical periodontitis through stages of endodontic treatment. Subject and method: Longitudinal study on 32 teeth of patients examined at Hanoi National Hospital of Odonto-Stomatology from April 2020 to April 2021. Patients have teeth with periapical periodontitis were divided into 2 groups: Group I were irrigated into root canal by chloherxidine (CHX) 2% combined with sodium hypochlorite (NaOCl) 3%; group II were irrigated into root canal by 3% NaOCl. Take samples in root cannal in 3 times: Before irrigation (S1), after irrigation (S2), and 2 weeks after place the medicine in root canal (S3). Result: There were 27 phyla and 467 genera of microorganisms in 96 samples. The dominant microbial genera tended to gradually decrease in 2 groups, in which group I had a higher level of reduction of these dominant genera than in group II. Conclusion: Using NaOCl disinfectant solution combined with CHX can eliminate microorganisms on a large scale, and change the proportion of microorganisms in the population more than NaOCl.

Article Details

References

1. Tibúrcio-Machado CS, Michelon C, Zanatta FB, Gomes MS, Marin JA, Bier CA (2021) The global prevalence of apical periodontitis: A systematic review and meta‐analysis. Int Endod J 54(5): 712-735. doi: 10.1111/iej.13467.
2. Kim S (2010) Prevalence of apical periodontitis of root canal-treated teeth and retrospective evaluation of symptom-related prognostic factors in an urban South Korean population. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 110(6):795-9. doi: 10.1016/j.tripleo.2010.07.004.
3. Siqueira JF Jr, Rôças IN (2013) Microbiology and treatment of acute apical abscesses. Clin Microbiol Rev 26(2): 255-273. doi: 10.1128/CMR.00082-12.
4. Dumani A, Yoldas O, Yilmaz S, Akcimen B, Seydaoglu G, Kipalev A, Koksal F (2012) In vitro susceptibility of E. faecalis and C. albicans isolates from apical periodontitis to common antimicrobial agents, antibiotics and antifungal medicaments. J Clin Exp Dent 4(1):e1-7. doi: 10.4317/jced.50593.
5. Tziafas D, Alraeesi D, Al Hormoodi R, Ataya M, Fezai H, Aga N (2017) Preparation prerequisites for effective irrigation of apical root canal: A critical review. J Clin Exp Dent 9(10): 1256.
6. Sakamoto M, Rôças IN, Siqueira JF Jr, Benno Y (2006) Molecular analysis of bacteria in asymptomatic and symptomatic endodontic infections. Oral Microbiol Immunol 21(2): 112-122.
7. Siqueira JF Jr, Rôças IN (2005) Uncultivated phylotypes and newly named species associated with primary and persistent endodontic infections. J Clin Microbiol 43(7): 3314-3319.
8. Andrews S (2010) FastQC: A quality control tool for high throughput sequence data. Cambridge, United Kingdom.
9. Ewels P, Magnusson M, Lundin S, Käller M (2016) MultiQC: Summarize analysis results for multiple tools and samples in a single report. Bioinformatics 32(19):3047-3048. doi: 10.1093/bioinformatics/btw354.
10. Bolyen E, Rideout JR, Dillon MR et al (2019) Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 37(8): 852-857. doi: 10.1038/s41587-019-0209-9.
11. Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP (2016) DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods 13(7):581-3. doi: 10.1038/nmeth.3869.
12. Pruesse E, Quast C, Knittel K, Fuchs BM, Ludwig W, Peplies J, Glöckner FO (2007) SILVA: A comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res 35(21):7188-7196. doi: 10.1093/nar/gkm864.
13. Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO (2012) The SILVA ribosomal RNA gene database project: Improved data processing and web-based tools. Nucleic Acids Res 41(Database issue):D590-6. doi: 10.1093/nar/gks1219.
14. Robeson MS 2nd, O'Rourke DR, Kaehler BD, Ziemski M, Dillon MR, Foster JT, Bokulich NA (2021) RESCRIPt: Reproducible sequence taxonomy reference database management. PLoS Comput Biol 17(11):e1009581. doi: 10.1371/journal.pcbi.1009581.
15. Demmer RT, Breskin A, Rosenbaum M, Zuk A, LeDuc C, Leibel R, Paster B, Desvarieux M, Jacobs DR Jr, Papapanou PN (2017) The subgingival microbiome, systemic inflamma- tion and insulin resistance: the oral infections, glucose intoler- ance and insulin resistance study. J Clin Periodontol 44: 255-265.
16. Marion JJC, Manhães FC, Bajo H, Duque TM (2012) Efficiency of different concentrations of sodium hypochlorite during endodontic treatment. Dental Press Endod 2: 32-37.
17. Silhavy TJ, Kahne D, Walker S (2010) The bacterial cell envelope. Cold Spring Harb Perspect Biol 2(5):a000414. doi: 10.1101/cshperspect.a000414.