The Comparative Molecular Typing of Haemophilus Influenzae Strains Isolated from the Adenoid and Tonsils in Patients Undergoing Adenotonsillectomy

Year 2023, Volume: 13 Issue: 1, 39 - 44, 11.05.2023

Gülşen Günel , Levent Aydemir , Özlem Ünaldı , Yasar Nakipoğlu

https://doi.org/10.26650/experimed.1221218

Abstract

Objective: Microbiota in the upper respiratory tract begins to form immediately after birth. Aerobic and anaerobic flora will form when a healthy child reaches the age of five. Tonsillitis and adenoiditis are the most common upper respiratory tract infectious diseases in childhood and adulthood. Transmission of bacterial infections from tonsils to adenoid tissue (endogenous transmission) can be prevented by usage of suitable antibiotics. At the same time, continuous exogenous infections of each or both sites require adenotonsillectomy surgery. In this study, to understand the role of endogenous transmission of Haemophilus influenzae (H. influenzae) in adenotonsillectomy, we aimed to investigate the genetic relatedness of H. influenzae strains obtained from the tonsil and adenoid of the same patient.
Materials and Methods: Twenty eight patients were included the study for displaying the growth of 56 H. influenzae strains (28 isolates per site). We investigated the genetic relatedness of H. influenzae strains obtained from the tonsils and adenoids of the patients by using the pulsed-field gel electrophoresis (PFGE) method.
Results: Twenty one isolates were isolated from the tonsils and adenoids of unrelated patients. We excluded nine (32.2%) out of 28 patients’ H. influenzae isolates from the study, that had identical strains depending on the ≥80% similarity Dice coefficient.
Conclusion: The probability of endogenous transmission between the two sites was very high, which means that some adenotonsillectomy surgery might be avoided and treated with antibiotics.

Keywords

Adenotonsillectomy, pulse field gel electrophoresis, Haemophilus influenzae

Supporting Institution

The study was supported by the BAP (Scientific Research Projects Coordination Unit of Istanbul University, Turkey).

Project Number

17434

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