Artigo Produção Nacional Revisado por pares

Influence of Bacterial Profiles in Cytokine and Clinical Features of Endodontic Disease

2021; Elsevier BV; Linguagem: Inglês

10.1016/j.joen.2021.04.026

ISSN

1878-3554

Autores

Frederico C. Martinho, Fábio Renato Manzolli Leite, Rodrigo Arruda‐Vasconcelos, Lidiane Mendes Louzada, Richard P. Darveau, Brenda Paula Figueiredo de Almeida Gomes,

Tópico(s)

Inflammatory mediators and NSAID effects

Resumo

Abstract Introduction We verified the association between selected bacterial profiles and levels of cytokines, chemokines, and the expression of signs and symptoms of primary endodontic infection with apical periodontitis. Methods Samples were collected from 21 root canals, and macrophages were stimulated for 24 hours. Tumor necrosis factor alpha (TNF-α), interleukin (IL)-6, IL-10, IL-12p70, interferon gamma, and chemokine (C-C motif) ligand 2 (CCL2) were measured using cytometric bead array. We investigated the overlapping networks between cytokines and chemokines with regression analysis. Checkerboard DNA-DNA hybridization was used to assess 40 target bacteria species. Using factor analysis, bacterial species aggregated in 2 factors. The association of bacteria species–based factors on cytokine and chemokine levels and clinical features was estimated with regression analysis. Results A negative relationship between IL-10 (anti-inflammatory cytokine) and CCL2, TNF-α, and IFN-γ (proinflammatory cytokines) (all P < .05) was observed. CCL2 was positively correlated with TNF-α ( P < .01). Thirty-eight bacteria species were detected in primary endodontic infection with apical periodontitis. The first bacteria species–based factor was associated with the size of the radiolucent area (coefficient = 15.42) and tenderness to percussion/pain on palpation (coefficient = 20.79). The second factor was associated with CCL2 levels (coefficient = 1.28). Conclusions Different bacterial profiles can be differentially related to the expression of inflammatory proteins and the experience of clinical features.

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