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A systematic review for anti-inflammatory property of clusiaceae family: a preclinical approach.

Mônica Santos de MeloJullyana de Souza Siqueira QuintansAdriano Antunes de Souza AraújoMarcelo Cavalcante DuarteLeonardo Rigoldi BonjardimPaulo Cesar de Lima NogueiraValéria Regina de Souza MoraesJoão Xavier de Araújo-JúniorEurica Adélia Nogueira RibeiroLucindo José Quintans-Junior
Published in: Evidence-based complementary and alternative medicine : eCAM (2014)
Background. Clusiaceae family (sensu lato) is extensively used in ethnomedicine for treating a number of disease conditions which include cancer, inflammation, and infection. The aim of this review is to report the pharmacological potential of plants of Clusiaceae family with the anti-inflammatory activity in animal experiments. Methods. A systematic review about experiments investigating anti-inflammatory activity of Clusiaceae family was carried out by searching bibliographic databases such as Medline, Scopus and Embase. In this update, the search terms were "anti-inflammatory agents," "Clusiaceae," and "animals, laboratory." Results. A total of 255 publications with plants this family were identified. From the initial 255 studies, a total of 21 studies were selected for the final analysis. Studies with genera Allanblackia, Clusia, Garcinia or Rheedia, and Hypericum showed significant anti-inflammatory activity. The findings include a decrease of total leukocytes, a number of neutrophils, total protein concentration, granuloma formation, and paw or ear edema formation. Other interesting findings included decreased of the MPO activity, and inflammatory mediators such as NF- κ B and iNOS expression, PGE2 and Il-1 β levels and a decrease in chronic inflammation. Conclusion. The data reported suggests the anti-inflammatory effect potential of Clusiaceae family in animal experiments.
Keyphrases
  • anti inflammatory
  • oxidative stress
  • immune response
  • squamous cell carcinoma
  • multidrug resistant
  • signaling pathway
  • climate change
  • pi k akt
  • artificial intelligence
  • peripheral blood
  • lymph node metastasis