Protective effect of Platymiscium floribundum Vog. in tree extract on periodontitis inflammation in rats.
Jordânia M O FreireHellíada V ChavesAlrieta H TeixeiraLuzia Herminia T de SousaIsabela Ribeiro PintoJosé Jackson do N CostaNayara Alves de SousaKaruza Maria A PereiraVirgínia C C GirãoVanessa C S FerreiraJoão Evangelista de Ávila Dos SantosMary Anne S LimaAntônia T A PimentaRaquel de C MontenegroMaria Elisabete A de MoraesVicente de P T PintoGerardo C FilhoMirna M BezerraPublished in: PloS one (2019)
Periodontitis is an immuno-inflammatory disease, which can lead to tooth loss. This study aimed to investigate the efficacy of Platymiscium floribundum Vog., a Brazilian tree which has been used in folk medicine as an anti-inflammatory agent, in a pre-clinical trial of periodontitis in rats. Periodontitis was induced by placing a sterilized nylon (3.0) thread ligature around the cervix of the second left upper molar of the rats, which received (per os) P. floribundum extract (0.1, 1 or 10 mg/kg) or vehicle 1h before periodontitis-challenge and once daily during 11 days. Treatment with P. floribundum (10mg/kg) decreased alveolar bone loss, MPO activity nitrite/nitrate levels, oxidative stress, TNF-α, IL1-β, IL-8/CINC-1, and PGE2 gingival levels, and transcription of TNF-α, IL1-β, COX-2, iNOS, RANK, and RANKL genes, while elevated both BALP serum levels and IL-10 gingival levels. The animals did not show signs of toxicity throughout the experimental course. These findings show that P. floribundum has anti-inflammatory and anti-resorptive properties in a pre-clinical trial of periodontitis, representing an interesting biotechnological tool.
Keyphrases
- oxidative stress
- anti inflammatory
- clinical trial
- bone loss
- rheumatoid arthritis
- nitric oxide
- dna damage
- ischemia reperfusion injury
- open label
- randomized controlled trial
- transcription factor
- study protocol
- gene expression
- drinking water
- double blind
- dna methylation
- phase ii
- preterm birth
- toll like receptor
- replacement therapy
- bioinformatics analysis