Contribution to the Preclinical Safety Assessment of Lannea velutina and Sorindeia juglandifolia Leaves.
Quintino MalúKatelene LimaMaryam MalmirRui PintoIsabel B Moreira da SilvaLuís CatarinoMaria Paula DuarteRita J SerranoJoão RochaBeatriz Silva LimaOlga SilvaPublished in: Plants (Basel, Switzerland) (2022)
Dried leaves of Lannea velutina A. Rich. and Sorindeia juglandifolia (A. Rich.) Planch. ex Oliv. (family Anacardiaceae) are used in African traditional medicine. Although these medicinal plants have widespread use in the treatment of inflammatory diseases, there is no scientific data concerning their preclinical or clinical safety. This work aimed to investigate the phytochemical properties of the leaves of both species using HPLC-UV/DAD, as well as the in vivo oral repeated-dose toxicity of 70% hydroethanolic leaf extract of S. juglandifolia and the in vitro genotoxicity of 70% hydroethanolic leaf extracts of L. velutina and S. juglandifolia . Clinical signs of toxicity, body weight variations, and changes in food consumption, mortality, and blood biochemical parameters were monitored. Genotoxicity was assessed using the bacterial reverse mutation assay (Ames test) with and without metabolic activation, according to OECD guidelines. The obtained results showed the presence of gallic acid and anacardic acid as the main marker constituents in both species. No significant changes in general body weight or food intake were observed; small significant changes with no critical relevance were observed in the blood biochemistry of animals treated with S. juglandifolia hydroethanolic extract (50, 400, and 1000 mg/kg body weight) compared to those in the control group. No genotoxicity was observed in the bacterial reverse mutation assay with S. juglandifolia and L. velutina extracts (up to 5 mg/plate). The safety data obtained in vivo and lack of genotoxic potential in vitro points to the safe medicinal use of S. juglandifolia and L. velutina extracts.
Keyphrases
- body weight
- oxidative stress
- oxide nanoparticles
- ms ms
- essential oil
- high throughput
- electronic health record
- simultaneous determination
- big data
- cell therapy
- human health
- risk assessment
- cardiovascular events
- machine learning
- combination therapy
- high performance liquid chromatography
- cardiovascular disease
- artificial intelligence
- climate change
- deep learning
- bone marrow