Evidence map›Paper›PMID 42573198›Full record

ArticleOtolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery2026

Deciphering the Inflammatory Network in Pediatric Recurrent Tonsillitis: The Role of TRAF6, IRAK1, and miR-146a-5p.

Ömer Faruk Güzel, Çilem Özdemir, Tuba Edgünlü, Ozan Gökdoğan

Abstract read
In one paragraph

Article in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ömer Faruk GüzelDepartment of Otolaryngology-Head and Neck Surgery, Muğla Training and Research Hospital, Muğla, Turkey.ORCID https://orcid.org/0000-0001-7221-0152
Çilem ÖzdemirDepartment of Bioinformatics Muğla Sıtkı Koçman University, Graduate School of Natural and Applied Sciences, Muğla, Turkey.ORCID https://orcid.org/0000-0002-3821-3621
Tuba EdgünlüDepartment of Medical Biology, Muğla Sıtkı Koçman University, Faculty of Medicine, Mugla, Turkey.ORCID https://orcid.org/0000-0002-9300-9324
Ozan GökdoğanDepartment of Otolaryngology-Head and Neck Surgery, Muğla Training and Research Hospital, Muğla, Turkey.

Funding

Mugla Sitki Koçman University Research Support and Funding Office 23/155/01/3/4
6 · The paper itself

Abstract

objectiveTo investigate the role of TNF receptor-associated factor 6 (TRAF6), interleukin 1 receptor-associated kinase 1 (IRAK1), and miR-146a-5p expression levels in the pathogenesis of recurrent tonsillitis. STUDY

designCase-control study.

settingThe study was conducted at the Department of Otorhinolaryngology, Muğla Training and Research Hospital, a tertiary referral center.

methodsThis study included 60 pediatric patients (aged 2-18 years) who underwent tonsillectomy according to American Academy of Otolaryngology-Head and Neck Surgery guidelines. 30 patients with recurrent tonsillitis were compared with 30 patients with tonsillar hypertrophy. Patients with chronic inflammatory diseases, recent steroid use, PFAPA syndrome, or asymmetric hypertrophy were excluded. Right palatine tonsil tissues were collected intraoperatively, and the mid-portion was analyzed. Expression levels of TRAF6, IRAK1, and miR-146a-5p were quantified using real-time polymerase chain reaction (qRT-PCR). In silico analyses evaluated related molecular pathways and target gene interactions.

resultsTRAF6 and IRAK1 mRNA levels were significantly increased in the recurrent tonsillitis group compared with controls (fold change: 1.64 and 1.43; P = .043 and P = .034, respectively), whereas miR-146a-5p expression was significantly decreased (2.17-fold; P = .012). Bioinformatic analysis identified nuclear factor kappa B (NF-κB), interleukin-1 (IL-1), and Toll-like receptor (TLR) signaling pathways. TRAF6, IRAK1, TLR4, epidermal growth factor receptor (EGFR), IL-6, and chemokine ligand 8 (CXCL8) were identified as potential miR-146a-5p targets.

conclusionThese findings suggest dysregulation of the TRAF6/IRAK1-miR-146a-5p axis in recurrent tonsillitis. While miR-146a-5p may represent a potential target within TLR/NF-κB-related pathways its therapeutic relevance remains speculative and requires validation through functional and translational studies.

Indexed as

Interleukin-1 Receptor-Associated KinasesMicroRNAsTNF Receptor-Associated Factor 6TonsillitisAdolescentCase-Control StudiesChildChild, PreschoolFemaleHumansMaleRecurrenceInterleukin-1 Receptor-Associated KinasesIRAK1 protein, humanMicroRNAsMIRN146 microRNA, humanTNF Receptor-Associated Factor 6inflammationIRAK1miRNA‐146a‐5precurrent tonsillitisTRAF6

Identifiers

PMID42573198
PMCPMC13655761

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.