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Cytokine profiles and the dynamic of gingivitis development in humans.
Leite, Fábio R M; Nascimento, Gustavo G; Møller, Holger J; Belibasakis, Georgios N; Bostanci, Nagihan; Smith, Patricio C; López, Rodrigo.
Afiliación
  • Leite FRM; Section for Periodontology, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
  • Nascimento GG; Section for Periodontology, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
  • Møller HJ; Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark.
  • Belibasakis GN; Section of Periodontology and Preventive Medicine, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Bostanci N; Section of Periodontology and Preventive Medicine, Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Smith PC; School of Dentistry, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • López R; Section for Periodontology, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
J Clin Periodontol ; 49(1): 67-75, 2022 01.
Article en En | MEDLINE | ID: mdl-34664296
AIM: To investigate the relationship between cytokine profiles and "fast" and "slow" patterns of gingival inflammation development. MATERIALS AND METHODS: Forty-two adults participated in an experimental gingivitis study, comprising a 2-week hygiene phase (clinical examination and professional cleaning); a 3-week induction phase (absence of oral hygiene); and a 2-week resolution phase (re-establishment of oral hygiene). Plaque and gingival inflammation scores were assessed. Interferon-gamma (IFN-γ), interleukin (IL)-1ß, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, and tumour necrosis factor-alpha (TNF-α) from gingival crevicular fluid were collected and measured by multiplex ELISA. Group-based-trajectory-modelling (GBTM) was used to model cytokine profiles over the induction phase. The effect of gingival inflammation on cytokine levels over time was estimated with mixed-effects modelling. RESULTS: GBTM analysis revealed two cytokine profiles, "non-organized response" (IL-4, IL-6, IL-8, IL-12, and IL-13) and "organized response" (IL-2, IL-10, and TNF-α). Among the "slow" responders, neither cytokine profile was associated with gingivitis. In contrast, a "fast" response was associated with a higher "non-organized response" factor (coef. 0.14) and a lower "organized response" factor (coef. -0.03). CONCLUSION: A "fast" gingivitis development was associated with a higher "non-organized response" and a lower "organized response", which may elucidate the role of individual variability in gingivitis susceptibility.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Placa Dental / Gingivitis Tipo de estudio: Prognostic_studies Límite: Adult / Humans Idioma: En Revista: J Clin Periodontol Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Placa Dental / Gingivitis Tipo de estudio: Prognostic_studies Límite: Adult / Humans Idioma: En Revista: J Clin Periodontol Año: 2022 Tipo del documento: Article País de afiliación: Dinamarca