Authors:
Zsolt Bella Department of Oto-Rhino-Laryngology and Head-Neck Surgery, Faculty of Medicine, University of Szeged, Szeged, Hungary
Maxillofacial and Oto-Rhino-Laryngology Department, Bács-Kiskun County Teaching Hospital, Kecskemét, Hungary

Search for other papers by Zsolt Bella in
Current site
Google Scholar
PubMed
Close
,
Eszter Erdélyi Department of Oto-Rhino-Laryngology and Head-Neck Surgery, Faculty of Medicine, University of Szeged, Szeged, Hungary

Search for other papers by Eszter Erdélyi in
Current site
Google Scholar
PubMed
Close
,
Ágnes Kiricsi Department of Oto-Rhino-Laryngology and Head-Neck Surgery, Faculty of Medicine, University of Szeged, Szeged, Hungary

Search for other papers by Ágnes Kiricsi in
Current site
Google Scholar
PubMed
Close
,
Veronika Gaál Doctoral School of Clinical Medicine, University of Szeged, Szeged, Hungary

Search for other papers by Veronika Gaál in
Current site
Google Scholar
PubMed
Close
,
Andrea Lázár Institute of Medical Microbiology, Faculty of Medicine, University of Szeged, Szeged, Hungary

Search for other papers by Andrea Lázár in
Current site
Google Scholar
PubMed
Close
,
Gergely Maróti Institute of Biochemistry, Biological Research Center, Szeged, Hungary

Search for other papers by Gergely Maróti in
Current site
Google Scholar
PubMed
Close
,
Roland Wirth Department of Biotechnology, Faculty of Sciences and Informatics, University of Szeged, Szeged, Hungary

Search for other papers by Roland Wirth in
Current site
Google Scholar
PubMed
Close
,
József Sóki Institute of Medical Microbiology, Faculty of Medicine, University of Szeged, Szeged, Hungary

Search for other papers by József Sóki in
Current site
Google Scholar
PubMed
Close
, and
Elisabeth Nagy Institute of Medical Microbiology, Faculty of Medicine, University of Szeged, Szeged, Hungary

Search for other papers by Elisabeth Nagy in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0001-6590-1879
Open access

Abstract

The aim of this prospective pilot study was to compare culture and microbiome results of the removed tonsils of patients with assumed distant focal disease (11 patients) and those who underwent a tonsillectomy, due to other reasons, such as recurrent tonsillitis, tonsil stones or snoring (nine patients). Aerobic culture was carried out for samples taken from the surface of the tonsils by swabs before tonsillectomy for all 20 patients. The squeezed detritus and the tissue samples of removed tonsils, taken separately for the right and left tonsils, were incubated aerobically and anaerobically. The microbiome composition of tissue samples of removed tonsils was also evaluated. Based on the culture results of the deep samples Staphylococcus aureus was the dominating pathogen, besides a great variety of anaerobic and facultative anaerobic bacteria present in the oral microbiota in those patients who underwent tonsillectomy due to distant focal diseases. Microbiome study of the core tissue samples showed a great diversity on genus and species level among patients of the two groups however, S. aureus and Prevotella nigrescens were present in higher proportion in those, whose tonsils were removed due to distant focal diseases. Our results may support previous findings about the possible triggering role of S. aureus and P. nigrescens leading to distant focal diseases. Samples taken by squeezing the tonsils could give more information about the possible pathogenic/triggering bacteria than the surface samples cultured only aerobically.

Abstract

The aim of this prospective pilot study was to compare culture and microbiome results of the removed tonsils of patients with assumed distant focal disease (11 patients) and those who underwent a tonsillectomy, due to other reasons, such as recurrent tonsillitis, tonsil stones or snoring (nine patients). Aerobic culture was carried out for samples taken from the surface of the tonsils by swabs before tonsillectomy for all 20 patients. The squeezed detritus and the tissue samples of removed tonsils, taken separately for the right and left tonsils, were incubated aerobically and anaerobically. The microbiome composition of tissue samples of removed tonsils was also evaluated. Based on the culture results of the deep samples Staphylococcus aureus was the dominating pathogen, besides a great variety of anaerobic and facultative anaerobic bacteria present in the oral microbiota in those patients who underwent tonsillectomy due to distant focal diseases. Microbiome study of the core tissue samples showed a great diversity on genus and species level among patients of the two groups however, S. aureus and Prevotella nigrescens were present in higher proportion in those, whose tonsils were removed due to distant focal diseases. Our results may support previous findings about the possible triggering role of S. aureus and P. nigrescens leading to distant focal diseases. Samples taken by squeezing the tonsils could give more information about the possible pathogenic/triggering bacteria than the surface samples cultured only aerobically.

Introduction

The results of the revolution of microbiology in the 19th century indicated many false theories to explain diseases with previously unknown etiology. Such was the theory of “focal infection” [1]. A localized infection, often asymptomatic, may cause disease elsewhere in the host, but such distant focal diseases are fairly uncommon. There are theories attributed many systemic diseases to the decay products of the microorganisms that colonize special parts of our body. In the 21st century, the evidence supporting distant focal diseases did not increase, but new knowledge about them created additional possible mechanisms such as metastasis of infection, metastatic toxic or immunological damage. All of these can occur simultaneously and may even interact [2, 3]. In some cases, the hair loss, inflammatory skin diseases, arthritis, glomerulonephritis, peri- and myocarditis that cannot be proven for other reasons, the “focal theory” still holds true today. Inflammatory diseases of the palatine tonsils, teeth, and the prostate or ovaries are considered to be the reason of focal diseases of distant organs [4–6]. However, establishing a real cause-and-effect relationship is very difficult.

Nowadays several microbiome studies, conducted with 16S rDNA amplicon sequencing or by metagenomics, also demonstrated possible correlation between the composition of the intestinal or oral microbiota and some physiological disorders of other body sites such as autoimmune disorders or Alzheimer disease [7, 8].

In the field of otolaryngology, among the presumed organs (adenoids, palatine tonsils, lingual tonsils) the palatine tonsil may play an important role in distant focal diseases, due to its histopathological and immunological structure [9]. In the case of distant focal disease, the difficulty is caused by the fact that we only see the symptoms of the distant target organ (e.g. joint, skin, kidney), while the triggering organ, such as the tonsils, is silent and asymptomatic. The first step in tissue-injury processes is the damage of the basal membrane, which triggers the local mucosal inflammation of the palatine tonsils and the distant organ syndrome therefore referred to a tonsil-induced autoimmune/inflammatory process [9, 10]. In many of the chronic diseases, such as chronic rhinosinusitis with nasal polyposis, the local microbial stimulus can initiate the inflammatory immune process [11, 12]. Determining the microbes that play an important role as a trigger, could make it possible to develop a screening test for the daily clinical routine. By removing the local organ, (e.g. by tonsillectomy) the immunological damage of the distant target organ (such as e.g. skin, joint or kidney), can be prevented or reversed [13].

Our main goal in this pilot study was to evaluate what is the value of the aerobic culture result of the sample taken by a swab from the surface of the tonsils (usually done in many countries before tonsillectomy) or of the more detailed evaluation of the culture results (aerobic and anaerobic) of the detritus and the removed tonsillar tissues. The microbiome composition of the tissue samples of the removed tonsils were also evaluated. We looked for differences by comparing two well-defined groups (patients with and without distant focal disease) based on culture results or composition of the microbiome.

Materials and methods

Patients

Twenty patients were involved in this study in 2020 (Ethical approval No: 178/2017). The tonsillectomy of 11 patients (Group I) was decided due to skin disorders (such as acne, eczema, or loss of the hair) or immunological disorders (arthritis, nephritis) assuming it is related with the tonsils. In the present study only those patients were involved whose focal symptoms significantly improved or disappeared within 4 months after tonsillectomy. The other nine patients (Group II) underwent a tonsillectomy, as they had several serious tonsillitis events earlier or due to the presence of tonsillolith (tonsillar stone) or snoring (due to tonsillar hypertrophy) (Table 1). The tonsillectomy was carried out during the symptom-free period. None of the patients received antibiotics two weeks before the tonsillectomy. Swab sample from tonsillar surface for aerobic culture was taken prior surgery by otolaryngologists, when the patient was already under general anesthesia, but before disinfection. Beside the surface sample of the tonsils, detritus from the right and left tonsils was taken by separate swabs and transferred in anaerobic transport medium in the laboratory. During the whole process of sampling, attention was taken that the swab should not touch oral mucosa, pharyngeal cavity mucosa, or saliva. The tissue samples from the removed right and left tonsils were submitted for culture in sterile Petri dishes within 2 h.

Table 1.

The main reasons of tonsillectomy in the 20 patients

Group I. (number of the patient)SexAge of the patient (year)Reason of the tonsillectomy
1.M12acne vulgaris
2.F24eczema
3.M17acne vulgaris
4.F38eczema
5.F40alopecia areata
6.F15alopecia areata
7.M18acne vulgaris
8.M24arthritis
9.M27arthritis
10.M28alopecia areata
11.M54nephritis
Group II.
12.M22>5 acute tonsillitis/year
13.F23>5 acute tonsillitis/year
14.F36tonsil stone
15.F16>5 acute tonsillitis/year
16.F29tonsil stone
17.M49snoring/tonsillar hypertrophy
18.F252–3 acute tonsillitis/year
19.M39snoring/tonsillar hypertrophy
20.M40snoring/tonsillar hypertrophy

Culture of the samples and identification of the isolated bacteria

Processing of the samples and evaluation of the culture results were carried out according to accepted routine laboratory methods [14, 15] in our bacteriological laboratory. Semi quantitative inoculation of the surface samples of the tonsils was performed within 3 h on aerobic culture media (Columbia agar +5 % sheep blood; chocolate agar Polyvitex [BioMerieux, France]; eosin-methylene blue agar [Condalab, Spain]; Sabouraud agar [Bio-Rad, USA]) and incubated for 48 h in 5% CO2-containing environment at 37 °C. The detritus taken before the surgery with a swab was homogenized in 1 mL PBS and the tissue samples of the removed tonsils were mechanically homogenized in sterile abrasive mortar and part of it was vortexed in 1 mL PBS for culture. Standardized part of the homogenized tissue samples of the right and left tonsils were immediately transferred in freezer at −80 °C for molecular analysis later. All the right and left detritus and tissue samples were cultured separately on the same way as described above to isolate aerobic and facultative anaerobic bacteria and additionally, for isolating strict anaerobes, Schaedler agar +5 % sheep blood [BioMerieux, France] and Brucella agar with laked sheep blood + kanamycin + vancomycin was used [14]. The anaerobic plates were kept in an atmosphere of 10% H2, 10% CO2 and 80% N2, in an anaerobic chamber (Concept 400, Ruskinn Technology Ltd., Bridgend, UK) for 48–72 h. The identification of the isolated bacteria was carried out by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) method (Biotyper, Bruker Daltonics GmbH, Bremen, Germany) using the actual database (MBT Compass Library DB-8468) following the guideline of Bruker Daltonics current User Manual [16–18].

DNA extraction

All tissue samples of the right and left tonsils stored at −80 °C were homogenized in 1 mL PBS and DNA extractions were carried out from 200 μL homogenates by the QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) with an elution volume of 100 μL. Afterwards DNA concentrations were determined by the Qubit dsDNA BR kit and fluorimeter (Thermo Scientific).

Next-generation sequencing

The amplification and sequencing of the prokaryotic hypervariable V3–V4 region of 16S rRNA gene were performed as described in “Preparing 16S Ribosomal RNA Gene Amplicons for the Illumina MiSeq System” standard protocol provided by the supplier (Illumina, San Diego, CA, USA). Detailed description of the applied method can be found in our previous article [19, 20].

Amplicon sequence analysis

Amplicon sequencing data were handled in house-developed bioinformatics pipeline, containing three modules. 1) Sequencing preparation, trimming: raw sequences were trimmed by Fastp (v default settings and minlen: 150) and checked with FastQC (v.0.11.8) [21]. 2) Taxonomic annotation: amplicon sequences were annotated at species level with the combination of Kraken2 (v.2.0.8: -confidence 0.95) and Bracken on Greengenes database [22, 23]. 3) Filtration and normalization: Copy number normalization was done through the rrnDB (v.5.6) database [24]. MetagenomeSeq (v.1.16.0) was used to create normalized and scaled output of microbial abundances (–rel 0.1, –scale 1,000) [25].

Statistics and visualization

For statistical calculation and visualization R program microeco package was employed [26]. We use Bray-Curtis dissimilarity test to calculate differences in beta-diversity (significant differences between groups was detected by Wilcox rank sum test P ≤ 0.05). To assess the significance of differences between microbiomes of the two groups (i.e.: Group I and II), we used LEfSeR (the R package for linear discriminant analysis effect size calculator; version 4.3 inside microeco, with a significance threshold of P ≤ 0.05 (trans_diff: alpha = 0.05, p_adjust_method = fdr, boots = 30, taxa_level = species) [27].

Results

Microbial analysis of tonsil samples: aerobic and anaerobic culture results

During the aerobic culture of the surface swabs of the 20 patients' tonsils (Tables 2 and 3) revealed only one sample, which was positive for Staphylococcus aureus beside the normal flora of the pharynx. When the culture results of the detritus and the tissue samples were evaluated, they were merged according to the right or left side of the patients, as a very similar distribution of aerobic and anaerobic species were present in both deep samples on the same side. High colony counts (>105 CFU/mL) of S. aureus were found on both sites in seven patients, belonging to Group I, whose tonsils were removed due to different distant focal diseases (Table 2). Out of this seven patients only one had S. aureus detectable in the surface sample of the tonsils. In case of two patients in this group Haemophilus influenzae, whereas in two other patients Streptococcus pyogenes was found in the deep samples of both removed tonsils with the presence of low colony counts of α-haemolytic streptococci and some coagulase-negative staphylococci cultured aerobically (Table 2). In Group II there were two patients whose right or left deep samples were also positive for S. aureus with low colony counts (102 CFU/mL in one or two samples) (Table 3). There was only another patient with high colony counts of H. influenzae in the deep samples in both sites in this group (Table 3). During aerobic culture only very low numbers of other aerobic bacteria, belonging to the normal oral flora, were isolated from the deep samples of the tonsils of all 20 patients.

Table 2.

Culture results of tonsils of 11 patients (Group I) with tonsillectomy due to distant focal diseases

Isolated bacteriaCulture results
Surface swab of the tonsilsDetritus and tissue of the right tonsilsDetritus and tissue of the left tonsils
Aerobic bacteria
Staphylococcus aureus177
Streptococcus pyogenes022
Haemophilus influenzae022
Other aerobic bacteria*1086
Anaerobic bacteria
Fusobacterium nucleatumnd1111
Fusobacterium necrophorumnd00
Fusobacterium periodonticumnd21
other Fusobacterium spp**nd22
Prevotella buccalisnd54
Prevotella nigrescensnd76
Prevotella intermediand12
Prevotella melaninogenicand24
other Prevotella spp***nd811
Veillonella atypicand22
other Veillonella spp****nd11
Gram-positive anaerob cocci (GPAC)nd22
Actinomyces odontolyticusnd42
other Actinomyces spp*****nd13
Other anaerobic bacteriand12

nd – not done.

* mixed population of α-haemolytic streptococci, coagulase-negative staphylococci (considered normal flora).

**F. naviforme (1), Fusobacterium sp (1).

***P. salivae (3), P. denticola (1), P. pallens (1), P. veroralis (1), P. maculosa (1), P. histicola (1), P. oulorum (1), P. oris (1), P. jejuni (1), P. dentalis (1), P. baroniae (1), Prevotella spp (4).

****V. dispar (1), V. parvula (1).

***** A. gerencseriae (1) A. neuii (1), A. meyeri (1).

Table 3.

Culture results of tonsils of nine patients (Group II) with tonsillectomy due to different other reasons than distant focal disease

Isolated bacteriaCulture results
Surface swab of the tonsilsDetritus and tissue of the right tonsilDetritus and tissue of the left tonsils
Aerobic bacteria
Staphylococcus aureus021
Streptococcus pyogenes000
Haemophilus influenzae010
Other aerobic bacteria*956
Anaerobic bacteria
Fusobacterium nucleatumnd76
Fusobacterium necrophorumnd33
Fusobacterium periodonticumnd32
other Fusobacterium spp**nd33
Prevotella buccalisnd45
Prevotella nigrescensnd21
Prevotella intermediand46
Prevotella melaninogenicand22
other Prevotella spp***nd1113
Veillonella atypicand79
other Veillonella spp****nd11
Gram-positive anaerob cocci (GPAC)nd46
Actinomyces odontolyticusnd46
other Actinomyces spp*****nd10
Other anaerobic bacteriand11

nd – not done.

* mixed population of α-haemolytic streptococci, coagulase-negative staphylococci (considered normal flora).

**F. naviforme (1), Fusobacterium sp (2).

***P. salivae (4), P. denticola (2), P. pallens (2), P. histicola (2), P. jejuni (2), P. maculosa (1), P. oulorum (1), P. loescheii (1).

****V. dispar (1), V. parvula (1).

***** A. graevenitzii (1).

The anaerobic culture of the detritus and the tissue samples of the right and left tonsils resulted a very mixed population of gram-negative and gram-positive anaerobic bacteria (Tables 2 and 3). Fusobacterium nucleatum was present almost in all samples of the patients belonging to the Group I and II. Fusobacterium necrophorum was isolated with high colony counts (≥105 CFU/mL) from all deep samples of three young adult patients (with age 16, 22 and 23 years) belonging to the Group II. All three patients had several tonsillitis events/year before the tonsillectomy has been decided (Table 1). Other Fusobacterium spp were also identified on species level or only on genus level in one or more samples of the patients. From all deep samples of patients belonging to Group I and II a great number of different Prevotella spp were obtained. The most frequently isolated species were Prevotella buccae, Prevotella nigrescens, Prevotella intermedia and Prevotella melaninogenica, but several further Prevotella spp were also identified in the deep samples of the tonsils in low numbers (Tables 2 and 3). Veillonella atypica was much more frequently found in patients belonging to Group II, than in those belonging to Group I, beside some other Veillonella spp. Actinomyces odontolyticus was the most frequently found Actinomyces spp beside some other species of this genus (Tables 2 and 3). We could not find significant differences in the anaerobe population of the deep tissue of the tonsils of the patients belonging into these two groups, based on the semi-quantitative culture procedure.

Amplicon sequence analysis of tonsillar microbiota: taxonomic resolution and comparative results

The composition of the microbiota in the tissue samples of the right and left tonsils were evaluated separately. The metagenomic (16S rDNA amplicon sequencing) results are presented in a sequence that follows the higher taxonomic resolution of the microbial community of the tissue samples of the removed tonsils, followed by the more detailed results. The two main describing dimensions of principal coordinate analysis calculation represent 41.5% of the microbiome variation between samples of patients belonging in the Group I and Group II (Fig. 1A). The individual microbiomes of the patients were scattered, influenced probably by numerous additional external factors, (e.g. diet, age, gender, systemic health conditions, medications, etc.). According to Bray-Curtis dissimilarity test, the two sample group's beta-diversity are significantly different (P < 0.001) (Fig. 1B).

Fig. 1.
Fig. 1.

Principal coordinate analysis (PCoA) and microbiome diversity. A. Principal coordinate analysis of microbiome data from the left and right tissue samples of the tonsils removed from patients belonging to Group I and II. B. Shows the beta-diversity of the microbiomes of the patients belonging in the two groups. The difference is statistically significant: P < 0.001 (**)

Citation: Acta Microbiologica et Immunologica Hungarica 71, 2; 10.1556/030.2024.02279

Genera abundances revealed distinct differences between the two groups (Group I and Group II), even though the microbiomes of the right and left tonsillar tissue from the same patient exhibited considerable similarity (Fig. 2A). The most abundant Operational Taxonomy Unit (OTU) was the genus Prevotella, which is generally observed in human oral cavity. It is noteworthy, that the majority of predominant taxa belonged to oral pathogens/normal flora members [20]. Some of them apparently did not indicate abundance difference between patients belonging to Group I and II, such as the genera Rothia, Porphyromonas, Streptococcus and Fusobacterium. Although, there were pronounced patient dependent abundances difference observed in the case of the genera Porphyromonas and Treponema (Fig. 2A).

Fig. 2.
Fig. 2.

Analysis of the microbiome composition of the two groups. The patients are coded within groups (P_1-P_20). L and R distinguishes left and right tonsillar tissue samples. A. The heat map shows the microbiome composition at genus level of the individual samples of the two groups (top 19 genera). B. Microbiome composition of individual samples from the two groups at species level. The figure shows the percentage distribution of the abundance of the top 15 species in each sample. C. Average species-level composition of the microbiome of the two groups. D. The distribution of species is significantly different between the two groups (LEfSe: P < 0.05)

Citation: Acta Microbiologica et Immunologica Hungarica 71, 2; 10.1556/030.2024.02279

The top 12 identified OTUs at species level and their distribution between the patient's samples is shown in Figure 2B and 2C. It is clearly seen, that the patterns of the 12 most abundant bacterial species harbored in the left and right tonsils were much more related (Fig. 2B), than the similarity among individual subjects or between patients belonging to Group I and II (Fig. 2C). Significantly different biomarker species were detected, which may have important diagnostic relevance in removed tonsils microbial analysis (Fig. 2D). In the patients belonging to Group I, whose tonsils were removed due to distant focal diseases S. aureus, and P. nigrescens were the dominating species, whereas in the “control group” beside P. intermedia and V. atypica five further species were present in higher proportion in patient's removed tonsils, beside the substantial heterogeneity of the individual tonsillar microbiomes.

Discussion

The indication of the tonsillectomy has changed during the past decades, but even today carried out very often in symptom free period, due to recurrent serious/acute tonsillitis in children, but also in young adults. However, there are many other reasons initiating tonsillectomy such as awareness of obstructive problems in children, or in adults due to the obstructive sleep apnea syndrome with snoring [28, 29]. Many studies support the idea that immunological consequences of chronic tonsillar infection or just symptomless presence of some microorganisms in the deep tonsillar tissue may cause distant focal diseases [4, 6, 9, 10, 30, 31]. Many of these symptoms may dramatically improve after tonsillectomy [6, 10, 32]. It has been shown that tonsillectomy revealed an improvement in 76.7% of 77 patients suffering from different skin disease and the most effective results were found in palmoplantar pustulosis [31]. The indication for tonsillectomy is often based on the distant focal disease hypothesis even in the case of otherwise completely asymptomatic tonsils. In other words, we perform tonsillectomy without the “source of the disease” being really verifiable. Symptomatic changes after surgery can be the proof.

The classical culture-based evaluation of the bacteriological background of different inflammatory processes of the tonsils or their triggering role in distant focal diseases has been discussed by many earlier or recent publications [46, 9, 10, 33]. They try to find correlation between bacteria isolated from the surface of the tonsils (throat swab) usually taken in operating theatre before surgery or from the deep tissue taken by needle aspiration or with squeezing out the detritus [33–36]. Many of these studies prove the disadvantages of routine surface sampling of tonsils specially if only aerobic culture is carried out. Samples from the tonsillar core and crypts, obtained before surgery are more favorable for culturing in aerobic and anaerobic environment [33, 36]. However, culture results are highly dependent on what kind of laboratory methods are used and how detailed species determination is carried out.

In our pilot study the tonsillar surface samples were cultured only aerobically as in many routine laboratories. The culture results showed clearly that in 20 patients involved in this study, underwent a tonsillectomy during symptomless period, very few aerobic bacteria considered as pathogens, were detected from the surface swab of the tonsils (1 of 20), whereas from the core samples (detritus and tissue samples) 14 of the 20 patients showed the presence of possible pathogenic aerobic bacteria (Tables 2 and 3). S. aureus was the dominating aerobic pathogen found in all deep samples with high colony counts in seven patients belonging to Group I, where the tonsillectomy was carried out due to distant focal disease. In Group II there were two further patients where S. aureus was found with low CFU in the deep samples. These data highly support the findings of Sarkar et al. [36] that even aerobic bacteria such as S. aureus can be detected more frequently from the core specimen of the tonsils than from the surface swab. They showed that out of the 10 most prevalent bacteria, only group C β-hemolytic streptococci showed no difference between detection from core and surface swabs [36]. In our study even S. pyogenes (2 cases) and H. influenzae (3 cases) were only detected from the deep samples of the tonsils.

The high prevalence of S. aureus in the deep samples of patients belonging to Group I found by the culture method (Table 2) was also confirmed by the microbiome evaluation of the tissue samples of the right and left tonsils. The mean proportion of S. aureus and P. nigrescens was higher in patient's tonsillar microbiome whose tonsils were removed due to distant focal diseases (Group I), on the contrary the mean proportion of the P. intermedia and V. atypica were higher in patient's microbiome ranged to Group II (Fig. 2D). This could also be observed during the culture based evaluation (Tables 2 and 3). According to the present study these 4 species are likely the best choices for the detection of taxonomic differences between the two clinically distinct patients represented in Group I and II. The high prevalence of S. aureus, in the present study in deep tonsillar samples of patients, whose tonsillectomy was decided due to distant focal diseases, raises the possibility that the different toxins of S. aureus may triggering inflammatory responses and activate inflammatory cells (such as keratocytes, helper T cells, innate lymphoid cells, macrophages, dendritic cells, mast cells, neutrophils eosinophils and basophils) which can express various cytokines and induce an inflammatory response leading to distant focal diseases [12, 37, 38]. Recent studies have shown connection between Prevotella strains, specially P. nigrescens present in the oral cavity and different distant diseases such as rheumatoid arthritis, systemic lupus erythematosus, cystic fibrosis or the potential inflammatory etiology of Alzheimer's disease [39–41]. The validation of the role of S. aureus and P. nigrescens as signaling species in patients with distant focal disease is needed on a much larger, carefully selected cohort of subjects with appropriate clinical anamnestic history.

In our study the culture results of the core samples of the tonsils (detritus and the removed tissue samples) on the same side showed a very similar distribution of aerobic and anaerobic bacteria identified on species level. This shows that a sample taking for culture before tonsillectomy is advisable to be carried out by squeezing of the detritus and collected by a swab. Given that tonsils are located between the oral cavity and the laryngopharynx at the gateway of the alimentary and respiratory tracts, tonsillar tissue may be affected by complex microbiota from both the oral cavity (saliva) and the alimentary tract. In our study we found a great variety of the well-known oral/dental anaerobic flora (including F. nucleatum, several Prevotella spp, Veillonella spp, Gram-positive anaerobic cocci (GPAC), Actinomyces spp) to be present in the deep samples of the removed tonsils. This was also found during the microbiome evaluation of the tissue samples on genus or species levels (Figure 2A and 2B).

Remarkable finding was the isolation of F. necrophorum (with high CFUs) from the deep tonsillar samples of 3 young adults belonging in Group II (Tables 1 and 3). Several culture based [42, 43] and also microbiome based [44] study confirmed the pathogenic role of F. necrophorum in acute and chronic tonsillitis primarily in young adult age as well as in peritonsillar abscess [45, 46].

Conclusion

Our prospective, pilot, multi-method study clearly showed that the samples taken by squeezing the tonsils give more information about the possible pathogenic/triggering bacteria, why tonsillectomy is carried out, than the surface samples cultured only aerobically. The culture and amplicon sequencing data obtained from deep tissues of tonsils in this study showed higher rate of colonization by S. aureus and P. nigrescens in patients with distant focal diseases. These bacteria may play a triggering role in the immunological cascade mechanism and could be an indication for tonsillectomy due to distant focal diseases. Further clinical studies are needed to prove their importance in this respect.

Funding

This research received no external funding.

Conflict of interest

The authors declare no conflict of interest.

Acknowledgment

We thank the technical assistance given in the cultivation part to Tünde Deák and Andrea Redetzky.

References

  • 1.

    Bynum B. Focal infection. Lancet 2002; 360: 1795.

  • 2.

    Goymerac B, Woollard G. Focal infection: a new perspective on an old theory. Gen Dent 2004; 52: 357361.

  • 3.

    Pallasch TJ, Wahl MJ. The focal infection theory: appraisal and reappraisal. J Calif Dent Assoc 2000; 28: 194200.

  • 4.

    Harabuchi Y, Takahara M. Recent advances in the immunological understanding of association between tonsil and immunoglobulin A nephropathy as a tonsil-induced autoimmune/inflammatory syndrome. Immun Inflamm Dis 2019; 7: 8692.

    • Search Google Scholar
    • Export Citation
  • 5.

    Rocca JP, Fornaini C, Wang Z, Tan L, Merigo E. Focal infection and periodontitis: a narrative report and new possible approaches. Int J Microbiol 2020; 2020: 8875612.

    • Search Google Scholar
    • Export Citation
  • 6.

    Kobayashi S. Tonsil-related skin diseases and possible involvement of T cell co-stimulation in chronic focal infection. Adv Otorhinolaryngol 2011; 72: 835.

    • Search Google Scholar
    • Export Citation
  • 7.

    Huang X, Huang X, Huang Y, Zheng J, Lu Y, Mai Z, et al. The oral microbiome in autoimmune diseases: friend or foe? J Transl Med 2023; 21: 211.

    • Search Google Scholar
    • Export Citation
  • 8.

    Beydoun MA, Beydoun HA, Hossain S, El-Hajj ZW, Weiss J, Zonderman AB, et al. Clinical and bacterial markers of periodontitis and their association with incident all-cause and Alzheimer’s disease dementia in a large national survey. J Alzheimers Dis 2020; 75: 157172.

    • Search Google Scholar
    • Export Citation
  • 9.

    Meng H, Ohtake H, Ishida A, Ohta N, Kakehata S, Yamakawa M. IgA production and tonsillar focal infection in IgA nephropathy. J Clin Exp Hematop 2012; 52: 161170.

    • Search Google Scholar
    • Export Citation
  • 10.

    Harabuchi Y, Takahara M. Pathogenic role of palatine tonsils in palmoplantar pustulosis: a review. J Dermatol 2019; 46: 931939.

  • 11.

    Hamilos DL. Host-microbial interactions in patients with chronic rhinosinusitis. J Allergy Clin Immunol 2014; 133: 640653.

  • 12.

    Chegini Z, Didehdar M, Khoshbayan A, Karami J, Yousefimashouf M, Shariati A. The role of Staphylococcus aureus enterotoxin B in chronic rhinosinusitis with nasal polyposis. Cell Commun Signal 2020; 20: 29.

    • Search Google Scholar
    • Export Citation
  • 13.

    Horiguchi S, Fujita T, Kinoshita K, Doi K. Tonsillectomy as an effective treatment for arthralgia of SAPHO syndrome. J Surg Case Rep 2020; 2020: rjaa288.

    • Search Google Scholar
    • Export Citation
  • 14.

    Clinical microbiology procedures handbook. 4th edition. Editor-in-Chief: Amy L. Leber. Washington DC: ASM Press; 2016.

  • 15.

    Nagy E, Boyanova L, Justesen US. ESCMID Study Group of Anaerobic Infections. How to isolate, identify and determine antimicrobial susceptibility of anaerobic bacteria in routine laboratories. Clin Microbiol Infect 2018; 24: 11391148.

    • Search Google Scholar
    • Export Citation
  • 16.

    Patel R. Matrix-assisted laser desorption ionization-time of flight mass spectrometry in clinical microbiology. Clin Infect Dis 2013; 57: 564572.

    • Search Google Scholar
    • Export Citation
  • 17.

    Nagy E. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: a new possibility for the identification and typing of anaerobic bacteria. Future Microbiol 2014; 9: 217233.

    • Search Google Scholar
    • Export Citation
  • 18.

    Hsu YM, Burnham CA. MALDI-TOF MS identification of anaerobic bacteria: assessment of pre-analytical variables and specimen preparation techniques. Diagn Microbiol Infect Dis 2014; 79: 144148.

    • Search Google Scholar
    • Export Citation
  • 19.

    Wirth R, Maróti G, Lipták L, Mester M, Al Ayoubi A, Papp B, et al. Microbiomes in supragingival biofilms and saliva of adolescents with gingivitis and gingival health. Oral Dis 2022; 28: 20002014.

    • Search Google Scholar
    • Export Citation
  • 20.

    Wirth R, Pap B, Maróti G, Vályi P, Komlósi L, Barta N, et al. Toward personalized oral diagnosis: distinct microbiome clusters in periodontitis biofilms. Front Cell Infect Microbiol 2021; 11: 747814.

    • Search Google Scholar
    • Export Citation
  • 21.

    Chen S, Zhou Y, Chen Y, Gu J. Fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 2018; 34: i884i890.

  • 22.

    Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol 2019; 20: 113.

  • 23.

    Lu J, Salzberg S. Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2. Microbiome 2020; 8: 111.

  • 24.

    Roller BRK, Stoddard SF, Schmidt TM. Exploiting rRNA operon copy number to investigate bacterial reproductive strategies. Nat Microbiol 2016; 1: 17.

    • Search Google Scholar
    • Export Citation
  • 25.

    Paulson JN, Stine OC, Bravo HC, Pop M. Robust methods for differential abundance analysis in marker gene surveys. Nat Methods 2013; 10: 12001202.

    • Search Google Scholar
    • Export Citation
  • 26.

    Liu C, Cui Y, Li X, Yao M. Microeco: an R package for data mining in microbial community ecology. FEMS Microbiol Ecol 2021; 97: fiaa255.

    • Search Google Scholar
    • Export Citation
  • 27.

    Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, et al. Metagenomic biomarker discovery and explanation. Genome Biol 2011; 2: R60.

    • Search Google Scholar
    • Export Citation
  • 28.

    Randall DA. Current indications for tonsillectomy and adenoidectomy. J Am Board Fam Med 2020; 33: 10251030.

  • 29.

    Hultcrantz E, Ericsson E. Factors influencing the indication for tonsillectomy: a historical overview and current concepts. ORL J Otorhinolaryngol Relat Spec 2013; 75: 184191.

    • Search Google Scholar
    • Export Citation
  • 30.

    Ivaska LE, Hanif T, Ahmad F, Tan G, Altunbulakli C, Mikola E, et al. Tonsillar microbial diversity, abundance, and interrelations in atopic and non-atopic individuals. Allergy 2020; 75: 21332135.

    • Search Google Scholar
    • Export Citation
  • 31.

    Fukunaga T. Studies on skin disease due to tonsillar focal infection. Auris Nasus Larynx 1974; 1: 151159.

  • 32.

    Noda K, Kodama S, Suenaga S, Suzuki M. Tonsillar focal infectious disease involving IgA nephropathy, pustulosis, and ossification. Clin Exp Nephrol 2007; 11: 97101.

    • Search Google Scholar
    • Export Citation
  • 33.

    Brook I, Yocum P, Shah K. Surface vs. core-tonsillar aerobic and anaerobic flora in recurrent tonsillitis. JAMA 1980; 244: 16961698.

  • 34.

    Khadilkar MN, Ankle NR. Anaerobic bacteriological microbiota in surface and core of tonsils in chronic tonsillitis. J Clin Diagn Res 2016; 10: MC01MC03.

    • Search Google Scholar
    • Export Citation
  • 35.

    Dickinson A, Kankaanpää H, Silén S, Meri S, Haapaniemi A, Ylikoski J, et al. Tonsillar surface swab bacterial culture results differ from those of the tonsillar core in recurrent tonsillitis. Laryngoscope 2020; 130: E791E794.

    • Search Google Scholar
    • Export Citation
  • 36.

    Sarkar S, Sil A, Sarkar S, Sikder B. A comparison of tonsillar surface swabbing, fine-needle aspiration core sampling, and dissected tonsillar core biopsy culture in children with recurrent tonsillitis. Ear Nose Throat J 2017; 96: E29E32.

    • Search Google Scholar
    • Export Citation
  • 37.

    Chen H, Zhang J, He Y, Lv Z, Liang Z, Chen J, et al. Exploring the role of Staphylococcus aureus in inflammatory diseases. Toxins 2022; 14: 464.

    • Search Google Scholar
    • Export Citation
  • 38.

    Ceccarelli F, Perricone C, Olivieri G, Cipriano E, Spinelli, Valesini G, et al. Staphylococcus aureus nasal carriage and autoimmune diseases: from pathogenic mechanisms to disease susceptibility and phenotype. Int J Mol Sci 2019; 20: 5624.

    • Search Google Scholar
    • Export Citation
  • 39.

    Könönen E, Gursoy UK. Oral Prevotella species and their connection to events of clinical relevance in gastrointestinal and respiratory tracts. Front Microbiol 2022; 12: 798763.

    • Search Google Scholar
    • Export Citation
  • 40.

    Bertelsen A, Elborn JS, Chock BC. Infection with Prevotella nigrescens induces TLR2 signalling and low levels of p65 mediated inflammation in Cystic Fibrosis bronchial epithelial cells. J Cytic Fibrosis 2020; 19: 211218.

    • Search Google Scholar
    • Export Citation
  • 41.

    Könönen E, Fteita D, Gursoy UK, Gursoy M. Prevotella species as oral residents and infectious agents with potential impact on systemic conditions. J Oral Microbiol 2022; 14: 2079814.

    • Search Google Scholar
    • Export Citation
  • 42.

    Holm K, Bank S, Nielsen H, Kristensen LH, Prag J, Jensen A, et al. The role of Fusobacterium necrophorum in pharyngotonsillitis - a review. Anaerobe 2016; 42: 8997.

    • Search Google Scholar
    • Export Citation
  • 43.

    Klug TE, Rusan M, Fuursted K, Ovesen T, Jorgensen AW. A systematic review of Fusobacterium necrophorum-positive acute tonsillitis: prevalence, methods of detection, patient characteristics, and the usefulness of the Centor score. Eur J Clin Microbiol Infect Dis 2016; 35: 19031912.

    • Search Google Scholar
    • Export Citation
  • 44.

    Atkinson TP, Centor RM, Xiao L, Wang F, Cui X, Van Der Pol W, et al. Analysis of the tonsillar microbiome in young adults with sore throat reveals a high relative abundance of Fusobacterium necrophorum with low diversity. PLoS One 2018; 13: e0189423.

    • Search Google Scholar
    • Export Citation
  • 45.

    Bella Z, Erdelyi E, Szalenko-Tőkés Á, Kiricsi Á, Gaál V, Benedek P, et al. Peritonsillar abscess: an 8-year retrospective, culture based evaluation of 208 cases. J Med Microbiol 2022; 71: 001576.

    • Search Google Scholar
    • Export Citation
  • 46.

    Klug TE, Henriksen JJ, Fuursted K, Ovesen T. Significant pathogens in peritonsillar abscesses. Eur J Clin Microbiol Infect Dis 2011; 30: 619627.

    • Search Google Scholar
    • Export Citation
  • 1.

    Bynum B. Focal infection. Lancet 2002; 360: 1795.

  • 2.

    Goymerac B, Woollard G. Focal infection: a new perspective on an old theory. Gen Dent 2004; 52: 357361.

  • 3.

    Pallasch TJ, Wahl MJ. The focal infection theory: appraisal and reappraisal. J Calif Dent Assoc 2000; 28: 194200.

  • 4.

    Harabuchi Y, Takahara M. Recent advances in the immunological understanding of association between tonsil and immunoglobulin A nephropathy as a tonsil-induced autoimmune/inflammatory syndrome. Immun Inflamm Dis 2019; 7: 8692.

    • Search Google Scholar
    • Export Citation
  • 5.

    Rocca JP, Fornaini C, Wang Z, Tan L, Merigo E. Focal infection and periodontitis: a narrative report and new possible approaches. Int J Microbiol 2020; 2020: 8875612.

    • Search Google Scholar
    • Export Citation
  • 6.

    Kobayashi S. Tonsil-related skin diseases and possible involvement of T cell co-stimulation in chronic focal infection. Adv Otorhinolaryngol 2011; 72: 835.

    • Search Google Scholar
    • Export Citation
  • 7.

    Huang X, Huang X, Huang Y, Zheng J, Lu Y, Mai Z, et al. The oral microbiome in autoimmune diseases: friend or foe? J Transl Med 2023; 21: 211.

    • Search Google Scholar
    • Export Citation
  • 8.

    Beydoun MA, Beydoun HA, Hossain S, El-Hajj ZW, Weiss J, Zonderman AB, et al. Clinical and bacterial markers of periodontitis and their association with incident all-cause and Alzheimer’s disease dementia in a large national survey. J Alzheimers Dis 2020; 75: 157172.

    • Search Google Scholar
    • Export Citation
  • 9.

    Meng H, Ohtake H, Ishida A, Ohta N, Kakehata S, Yamakawa M. IgA production and tonsillar focal infection in IgA nephropathy. J Clin Exp Hematop 2012; 52: 161170.

    • Search Google Scholar
    • Export Citation
  • 10.

    Harabuchi Y, Takahara M. Pathogenic role of palatine tonsils in palmoplantar pustulosis: a review. J Dermatol 2019; 46: 931939.

  • 11.

    Hamilos DL. Host-microbial interactions in patients with chronic rhinosinusitis. J Allergy Clin Immunol 2014; 133: 640653.

  • 12.

    Chegini Z, Didehdar M, Khoshbayan A, Karami J, Yousefimashouf M, Shariati A. The role of Staphylococcus aureus enterotoxin B in chronic rhinosinusitis with nasal polyposis. Cell Commun Signal 2020; 20: 29.

    • Search Google Scholar
    • Export Citation
  • 13.

    Horiguchi S, Fujita T, Kinoshita K, Doi K. Tonsillectomy as an effective treatment for arthralgia of SAPHO syndrome. J Surg Case Rep 2020; 2020: rjaa288.

    • Search Google Scholar
    • Export Citation
  • 14.

    Clinical microbiology procedures handbook. 4th edition. Editor-in-Chief: Amy L. Leber. Washington DC: ASM Press; 2016.

  • 15.

    Nagy E, Boyanova L, Justesen US. ESCMID Study Group of Anaerobic Infections. How to isolate, identify and determine antimicrobial susceptibility of anaerobic bacteria in routine laboratories. Clin Microbiol Infect 2018; 24: 11391148.

    • Search Google Scholar
    • Export Citation
  • 16.

    Patel R. Matrix-assisted laser desorption ionization-time of flight mass spectrometry in clinical microbiology. Clin Infect Dis 2013; 57: 564572.

    • Search Google Scholar
    • Export Citation
  • 17.

    Nagy E. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: a new possibility for the identification and typing of anaerobic bacteria. Future Microbiol 2014; 9: 217233.

    • Search Google Scholar
    • Export Citation
  • 18.

    Hsu YM, Burnham CA. MALDI-TOF MS identification of anaerobic bacteria: assessment of pre-analytical variables and specimen preparation techniques. Diagn Microbiol Infect Dis 2014; 79: 144148.

    • Search Google Scholar
    • Export Citation
  • 19.

    Wirth R, Maróti G, Lipták L, Mester M, Al Ayoubi A, Papp B, et al. Microbiomes in supragingival biofilms and saliva of adolescents with gingivitis and gingival health. Oral Dis 2022; 28: 20002014.

    • Search Google Scholar
    • Export Citation
  • 20.

    Wirth R, Pap B, Maróti G, Vályi P, Komlósi L, Barta N, et al. Toward personalized oral diagnosis: distinct microbiome clusters in periodontitis biofilms. Front Cell Infect Microbiol 2021; 11: 747814.

    • Search Google Scholar
    • Export Citation
  • 21.

    Chen S, Zhou Y, Chen Y, Gu J. Fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 2018; 34: i884i890.

  • 22.

    Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol 2019; 20: 113.

  • 23.

    Lu J, Salzberg S. Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2. Microbiome 2020; 8: 111.

  • 24.

    Roller BRK, Stoddard SF, Schmidt TM. Exploiting rRNA operon copy number to investigate bacterial reproductive strategies. Nat Microbiol 2016; 1: 17.

    • Search Google Scholar
    • Export Citation
  • 25.

    Paulson JN, Stine OC, Bravo HC, Pop M. Robust methods for differential abundance analysis in marker gene surveys. Nat Methods 2013; 10: 12001202.

    • Search Google Scholar
    • Export Citation
  • 26.

    Liu C, Cui Y, Li X, Yao M. Microeco: an R package for data mining in microbial community ecology. FEMS Microbiol Ecol 2021; 97: fiaa255.

    • Search Google Scholar
    • Export Citation
  • 27.

    Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, et al. Metagenomic biomarker discovery and explanation. Genome Biol 2011; 2: R60.

    • Search Google Scholar
    • Export Citation
  • 28.

    Randall DA. Current indications for tonsillectomy and adenoidectomy. J Am Board Fam Med 2020; 33: 10251030.

  • 29.

    Hultcrantz E, Ericsson E. Factors influencing the indication for tonsillectomy: a historical overview and current concepts. ORL J Otorhinolaryngol Relat Spec 2013; 75: 184191.

    • Search Google Scholar
    • Export Citation
  • 30.

    Ivaska LE, Hanif T, Ahmad F, Tan G, Altunbulakli C, Mikola E, et al. Tonsillar microbial diversity, abundance, and interrelations in atopic and non-atopic individuals. Allergy 2020; 75: 21332135.

    • Search Google Scholar
    • Export Citation
  • 31.

    Fukunaga T. Studies on skin disease due to tonsillar focal infection. Auris Nasus Larynx 1974; 1: 151159.

  • 32.

    Noda K, Kodama S, Suenaga S, Suzuki M. Tonsillar focal infectious disease involving IgA nephropathy, pustulosis, and ossification. Clin Exp Nephrol 2007; 11: 97101.

    • Search Google Scholar
    • Export Citation
  • 33.

    Brook I, Yocum P, Shah K. Surface vs. core-tonsillar aerobic and anaerobic flora in recurrent tonsillitis. JAMA 1980; 244: 16961698.

  • 34.

    Khadilkar MN, Ankle NR. Anaerobic bacteriological microbiota in surface and core of tonsils in chronic tonsillitis. J Clin Diagn Res 2016; 10: MC01MC03.

    • Search Google Scholar
    • Export Citation
  • 35.

    Dickinson A, Kankaanpää H, Silén S, Meri S, Haapaniemi A, Ylikoski J, et al. Tonsillar surface swab bacterial culture results differ from those of the tonsillar core in recurrent tonsillitis. Laryngoscope 2020; 130: E791E794.

    • Search Google Scholar
    • Export Citation
  • 36.

    Sarkar S, Sil A, Sarkar S, Sikder B. A comparison of tonsillar surface swabbing, fine-needle aspiration core sampling, and dissected tonsillar core biopsy culture in children with recurrent tonsillitis. Ear Nose Throat J 2017; 96: E29E32.

    • Search Google Scholar
    • Export Citation
  • 37.

    Chen H, Zhang J, He Y, Lv Z, Liang Z, Chen J, et al. Exploring the role of Staphylococcus aureus in inflammatory diseases. Toxins 2022; 14: 464.

    • Search Google Scholar
    • Export Citation
  • 38.

    Ceccarelli F, Perricone C, Olivieri G, Cipriano E, Spinelli, Valesini G, et al. Staphylococcus aureus nasal carriage and autoimmune diseases: from pathogenic mechanisms to disease susceptibility and phenotype. Int J Mol Sci 2019; 20: 5624.

    • Search Google Scholar
    • Export Citation
  • 39.

    Könönen E, Gursoy UK. Oral Prevotella species and their connection to events of clinical relevance in gastrointestinal and respiratory tracts. Front Microbiol 2022; 12: 798763.

    • Search Google Scholar
    • Export Citation
  • 40.

    Bertelsen A, Elborn JS, Chock BC. Infection with Prevotella nigrescens induces TLR2 signalling and low levels of p65 mediated inflammation in Cystic Fibrosis bronchial epithelial cells. J Cytic Fibrosis 2020; 19: 211218.

    • Search Google Scholar
    • Export Citation
  • 41.

    Könönen E, Fteita D, Gursoy UK, Gursoy M. Prevotella species as oral residents and infectious agents with potential impact on systemic conditions. J Oral Microbiol 2022; 14: 2079814.

    • Search Google Scholar
    • Export Citation
  • 42.

    Holm K, Bank S, Nielsen H, Kristensen LH, Prag J, Jensen A, et al. The role of Fusobacterium necrophorum in pharyngotonsillitis - a review. Anaerobe 2016; 42: 8997.

    • Search Google Scholar
    • Export Citation
  • 43.

    Klug TE, Rusan M, Fuursted K, Ovesen T, Jorgensen AW. A systematic review of Fusobacterium necrophorum-positive acute tonsillitis: prevalence, methods of detection, patient characteristics, and the usefulness of the Centor score. Eur J Clin Microbiol Infect Dis 2016; 35: 19031912.

    • Search Google Scholar
    • Export Citation
  • 44.

    Atkinson TP, Centor RM, Xiao L, Wang F, Cui X, Van Der Pol W, et al. Analysis of the tonsillar microbiome in young adults with sore throat reveals a high relative abundance of Fusobacterium necrophorum with low diversity. PLoS One 2018; 13: e0189423.

    • Search Google Scholar
    • Export Citation
  • 45.

    Bella Z, Erdelyi E, Szalenko-Tőkés Á, Kiricsi Á, Gaál V, Benedek P, et al. Peritonsillar abscess: an 8-year retrospective, culture based evaluation of 208 cases. J Med Microbiol 2022; 71: 001576.

    • Search Google Scholar
    • Export Citation
  • 46.

    Klug TE, Henriksen JJ, Fuursted K, Ovesen T. Significant pathogens in peritonsillar abscesses. Eur J Clin Microbiol Infect Dis 2011; 30: 619627.

    • Search Google Scholar
    • Export Citation
  • Collapse
  • Expand

Senior editors

Editor-in-Chief: Prof. Dóra Szabó (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Managing Editor: Dr. Béla Kocsis (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Co-editor: Dr. Andrea Horváth (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Editorial Board

  • Prof. Éva ÁDÁM (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Sebastian AMYES (Department of Medical Microbiology, University of Edinburgh, Edinburgh, UK.)
  • Dr. Katalin BURIÁN (Institute of Clinical Microbiology University of Szeged, Szeged, Hungary; Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary.)
  • Dr. Orsolya DOBAY (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Ildikó Rita DUNAY (Institute of Inflammation and Neurodegeneration, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany; Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany)
  • Prof. Levente EMŐDY(Department of Medical Microbiology and Immunology, University of Pécs, Pécs, Hungary.)
  • Prof. Anna ERDEI (Department of Immunology, Eötvös Loránd University, Budapest, Hungary, MTA-ELTE Immunology Research Group, Eötvös Loránd University, Budapest, Hungary.)
  • Prof. Éva Mária FENYŐ (Division of Medical Microbiology, University of Lund, Lund, Sweden)
  • Prof. László FODOR (Department of Microbiology and Infectious Diseases, University of Veterinary Medicine, Budapest, Hungary)
  • Prof. József KÓNYA (Department of Medical Microbiology, University of Debrecen, Debrecen, Hungary)
  • Prof. Yvette MÁNDI (Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary)
  • Prof. Károly MÁRIALIGETI (Department of Microbiology, Eötvös Loránd University, Budapest, Hungary)
  • Prof. János MINÁROVITS (Department of Oral Biology and Experimental Dental Research, University of Szeged, Szeged, Hungary)
  • Prof. Béla NAGY (Centre for Agricultural Research, Institute for Veterinary Medical Research, Budapest, Hungary.)
  • Prof. István NÁSZ (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Kristóf NÉKÁM (Hospital of the Hospitaller Brothers in Buda, Budapest, Hungary.)
  • Dr. Eszter OSTORHÁZI (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Rozália PUSZTAI (Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary)
  • Prof. Peter L. RÁDY (Department of Dermatology, University of Texas, Houston, Texas, USA)
  • Prof. Éva RAJNAVÖLGYI (Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary)
  • Prof. Ferenc ROZGONYI (Institute of Laboratory Medicine, Semmelweis University, Budapest, Hungary)
  • Prof. Joseph G. SINKOVICS (The Cancer Institute, St. Joseph’s Hospital, Tampa, Florida, USA)
  • Prof. Júlia SZEKERES (Department of Medical Biology, University of Pécs, Pécs, Hungary.)
  • Prof. Mária TAKÁCS (National Reference Laboratory for Viral Zoonoses, National Public Health Center, Budapest, Hungary.)
  • Prof. Edit URBÁN (Department of Medical Microbiology and Immunology University of Pécs, Pécs, Hungary; Institute of Translational Medicine, University of Pécs, Pécs, Hungary.)

 

Editorial Office:
Akadémiai Kiadó Zrt.
Budafoki út 187-187, A/3, H-1117 Budapest, Hungary

Editorial Correspondence:
Acta Microbiologica et Immunologica Hungarica
Institute of Medical Microbiology
Semmelweis University
P.O. Box 370
H-1445 Budapest, Hungary
Phone: + 36 1 459 1500 ext. 56101
Fax: (36 1) 210 2959
E-mail: amih@med.semmelweis-univ.hu

 Indexing and Abstracting Services:

  • Biological Abstracts
  • BIOSIS Previews
  • CAB Abstracts
  • CABELLS Journalytics
  • Chemical Abstracts
  • Global Health
  • Index Medicus
  • Index Veterinarius
  • Medline
  • Referativnyi Zhurnal
  • SCOPUS
  • Science Citation Index Expanded

2023  
Web of Science  
Journal Impact Factor 1.3
Rank by Impact Factor Q4 (Immunology)
Journal Citation Indicator 0.31
Scopus  
CiteScore 2.3
CiteScore rank Q3 (Infectious Diseases)
SNIP 0.389
Scimago  
SJR index 0.308
SJR Q rank Q3

Acta Microbiologica et Immunologica Hungarica
Publication Model Hybrid
Submission Fee none
Article Processing Charge 1100 EUR/article (only for OA publications)
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription fee 2025 Online subsscription: 772 EUR / 848 USD
Print + online subscription: 860 EUR / 944 USD
Subscription Information Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles are sold on the displayed price.

Acta Microbiologica et Immunologica Hungarica
Language English
Size A4
Year of
Foundation
1954
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1217-8950 (Print)
ISSN 1588-2640 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Aug 2024 0 157 86
Sep 2024 0 97 73
Oct 2024 0 340 62
Nov 2024 0 119 63
Dec 2024 0 93 43
Jan 2025 0 73 44
Feb 2025 0 0 0