Bacterial Profile, Molecular Serotyping, and Key Genetic Determinants for Adhesion, Immune Evasion, and Tissue Spread Among Bulgarian Children with Acute Otitis Media.

Background

Acute otitis media (AOM) is one of the most common pediatric infections. We aimed to investigate the bacterial profile of AOM in children, the serotype distribution, and the main genetic virulence factors involved in adhesion, immune evasion, and tissue spread.

Methods

In total, 121 AOM cases involving children aged 0 to 14 years were studied. Middle ear fluids (MEF) (n = 42) and nasopharyngeal samples (n = 79) were collected. All strains were identified using routine microbiological tests, conventional PCRs and real-time PCR methods. Molecular serotyping was performed for S. pneumoniae and H. influenzae isolates. An immunofluorescence serotyping technique was employed for M. catarrhalis. Target genetic factors were determined for all involved bacterial agents using singleplex or multiplex PCRs.

Results

We analyzed 148 nasopharyngeal and MEF. Among 121 AOM cases, a total of 127 bacterial agents were identified, including S. aureus (n = 41), S. pneumoniae (n = 28), H. influenzae (n = 23), M. catarrhalis (n = 19), and S. pyogenes (n = 16). The leading three serotypes among S. pneumoniae were: 19A (18.0%), 6A (14.3%), and 15B (14.3%). 91.3% of H. influenzae isolates were non-typeable (lacking a capsule-NTHi). The M. catarrhalis isolates were distributed in serotypes A (57.9%), B (26.3%), and C (15.8%). Presence of pili type 1 was detected in 21.4% pneumococci, and the fimbrial gene hifA was found in 34.8% of the H. influenzae strains. In 73.6% of the M. catarrhalis strains, ompCD was identified, while 84.2% contained ompE. 62.5% of the S. pyogenes isolates harbored the sdc gene, and 56.2% possessed the sdaD gene, predominantly in the MEF isolates. The cna adhesin was found in 28.0% of the S. aureus strains.

Conclusions

The monitoring of bacterial pathogens responsible for otitis media, along with their serotype distribution and the prevalence of genetic factors involved in disease pathogenesis, is essential for public health and can help predict disease severity and treatment options.