Adansonia digitata L. fruit shell extract alleviates lead-induced neurotoxicity in mice via modulation of oxidative stress and a possible chelating activity.

BACKGROUND: Lead is a ubiquitous environmental heavy metal known to induce neurotoxicity. It has been postulated that substance with high antioxidant capacity could alleviate lead-induced neurotoxicity. Adansonia digitata fruit shell extract (ADFS) has been reported to have high phenolic contents and exerts antioxidant activity. This study investigated the effects of Adansonia digitata fruit shell extract on lead-induced neurotoxicity in mice. METHODS: Male balb/c mice (n = 7) were administered with Pb-acetate (50 mg/kg) 30 mins before ADFS (250 mg/kg and 500 mg/kg) or succimer (50 mg/kg) per orally for 28 days. Motor activities were evaluated on days 29 and 30 through horizontal bar and open field tests respectively. Further, spectrophotometry, atomic absorption spectrophotometry and haematoxylin and eosin staining were carried-out to determine the expression of oxidative stress biomarkers, level of lead concentration in the brain and histology of the cerebellum respectively. RESULTS: Lead acetate exposure significantly (p < 0.05) induced motor deficits in horizontal bar test and open field test, caused oxidative stress, high concentration of lead in the brain as well as histological aberration in the cerebellum. ADFS significantly (p < 0.05) reversed the motor deficits evident by increased muscle strength and number of lines crossed. Further, ADFS significantly reversed oxidative stress evident by increased levels of SOD, CAT and GSH and decreased level of MDA. There was also significant (p < 0.05) decrease in brain lead concentration as well as reduced cerebellar cells death. CONCLUSION: Findings suggest that ADFS attenuated motor deficits via inhibition of oxidative stress and chelating activity which is comparable to succimer. Hence, ADFS should be explored for possible development of chelating agent against lead and other heavy metals toxicity.

Fatty Acid Composition of Baobab Seed and Its Relationship with the Genus Adansonia Taxonomy.

Baobab seed oil contains specific fatty acids. Most of the studies on baobab fatty acids have been carried out singly and in isolation from each other, making it difficult to compare results through different species. The objective of the present study is to establish the seed fatty acid composition of each Adansonia species in order to evaluate and understand the relationships between the oil chemical compositions, the baobabs' taxonomy and, the ecological and geographical origin of each seed lot. The seed oils have been analysed using gas chromatography (GC). The oils of all baobab species contain three major fatty acids: palmitic, oleic and linoleic acids. They also contain specific fatty acids such as cyclopropenic and cyclopropanic acids, which are characteristic of the Malvaceae family seed oils. It was possible to distinguish three sections through principal components analysis using the eleven fatty acids identified by GC. The Adansonia section contains high rates of oleic acid (± 35%), the Brevitubae section is rich in palmitic acid (± 42%) and the Longitubae section contains high levels of dihydrosterulic acid (± 5%). The oil fatty acid composition, however, does not enable a definitive characterization of profiles according to species. The fatty acid composition is not significantly influenced by the geographical, soil and climate conditions of the collection sites.

A comprehensive and comparative GC-MS metabolomics study of non-volatiles in Tanzanian grown mango, pineapple, jackfruit, baobab and tamarind fruits.

Tropical fruits contribute significantly to the total fruit intake worldwide. However, their metabolomes have not yet been investigated comprehensively, as most previous studies revealed only volatile and bulk compositions. This study compares non-volatile metabolites of five fruits grown in Tanzania. A new methodology is developed for broad-spectrum GC-MS metabolomics in fruits using a new derivatization and a two dimensional peak deconvolution techniques. A total of 92 peaks were detected from fruits of which 45 were identified. Jackfruits contained the highest amount of carbohydrates, while baobab contained the highest amount of fatty acids. The highest content of organic acids was detected in tamarind. Principal component analysis revealed insights into metabolic differences and similarities, while hierarchical cluster analysis correctly grouped the fruits according to their relationships in plants' phylogenetic tree. The developed methodology could potentially be applied in large-scale studies on fruit quality, authenticity/variety, optimization of post-harvest processing and storage.