Objectives: the aim of this study is to explore the secondary metabolites produced by the endophytic fungus Chaetomium sp. isolated from Scencio stapeliiformis (E.Phillips) as well as investigate the anticancer and antimicrobial activity of crude extracts, fractions and pure compounds. Methods: An endophytic fungus (Chaetomium sp.) was isolated from the arial part of S. stapeliiformis (from Giza, Egypt). DNA sequencing analysis, morphological and chemotaxonomy investigations were used for taxonomic identification. Metabolomics tools and dereplication studies were employed to choose the optimum growth medium and conditions that produce the most significant metabolites. The crude extract of the optimal fungal culture of Chaetomium sp. was then fractionated using flash chromatography and medium pressure liquid chromatography (MPLC). The structure of the isolated compounds was determined on the basis of 1D, 2D NMR and mass spectrometry (HR-ESIMS) analysis. Results: The Metabolomics and bioassay-guided isolation afforded five pure compounds; p-hydroxybenzaldehyde (1), Uracil (2), 3-benzyl-6-isobutyl piperazine-2,5-dione (3), Cyclo (L-Alanin-Lleucin) (4) and Cyclo-(L-proline-L-leucine) (5). Multivariate data analysis highlighted the most significant metabolites contributed to the measured bioactivity. All fungal extracts were tested for the anticancer activity but extract of 30 days liquid culture of Chaetomium showed the most anticancer activity. The pure compounds were tested for their anticancer and antimicrobial activities. Compounds 3 and 5 exhibited a significant anti-trypanosomal activity while compounds 1, 2 and 5 effectively inhibited the growth of E-coli and Staphylococcus aureus. Conclusion: A combination of metabolomicand bioassay-guided protocol can efficiently predict the putative biologically active metabolites during the first stage of fractionation.

Objectives: This study aimed to point the significant rule of metabolomics tools to assess the chemistry of the bioactive metabolites produced by endophytic fungus Aspergillus chevalieri isolated from Lagerostromia tomentosa C. presl. The anticancer of crude extracts, fractions and pure compounds and antimicrobial of pure compounds were investigated as part of this study. Methods: An endophytic fungus (Aspergillus chevalieri) was isolated from the tissues of the stem of Lagerostromia tomentosa C. Presl and identified through molecular biological procedure by DNA isolation, PCR, DNA sequencing and through searching the Gene Bank. Metabolomics profiling and dereplication studies were employed to choose the optimum growth medium and conditions that yield the most significant metabolites. The crude extract of the 30-days rice culture of Aspergillus chevalieri was subjected to bioactivity and metabolomics guided isolation approach. The structure of the isolated compounds was determined on the basis of 1D, 2D NMR and mass spectrometry (HR-ESIMS) analysis. Results: four fractions were further purified to produce five pure compounds, which are Ergosterol (1), Ergosterol peroxide (2), Campesterol (3), Flavoglaucin (4) and 3-O-methyl caffeic acid (5). Multivariate data analysis highlighted the most significant metabolites contributed to the bioactivity. The pure compounds were tested for the anticancer and antimicrobial activity, compound (1) exhibited significant antitrypanosomal activity, while compounds (2, 3, 4 and 5) effectively inhibited the growth of Escherichia coli, Staphylococcus aureus and Candida albicans. Conclusion: A combination of metabolomic-and bioassay-guided approaches gives an access to a shorter and faster route to highlight the active metabolites, which are highly correlated to the bioactivity during the first stage of fractionation.

Metabolomics is the technology designed to provide general qualitative and quantitative profile of metabolites in organisms exposed to different conditions. Metabolomics is applied in many aspects of natural drug discoveries, particularly in bioactivity screening to improve dereplication and identification procedures. Fast dereplication of known compounds and identification of lead bioactive metabolites is important in the primary stages of metabolomics profiling prior to an intensive isolation work. Two levels of metabolomics were used in this study. First was metabolites fingerprinting which aimed for rapid classification of samples by comparing the metabolites patterns or fingerprints. Second was metabolites profiling and dereplication study for class of compounds related to a specific pathway in order to individually identify and quantify these metabolites. This study involved isolation of endophytic fungus Aspergillus aculeatus from Egyptian medicinal plants, Terminalia laxiflora. Identification of the strains has been achieved through molecular biological methods. Metabolomic profiling, using NMR and HR-MS were done at different stages of the growth phase for both solid and liquid culture media. Dereplication studies were accomplished by utilizing the MZmine 2.10 software with aid of the AntiBase and DNP databases. By end of the dereplication process metabolites were sorted out into three levels; level 1: identified compounds, level 2: putatively annotated compound class and level 3: completely unidentified and unclassified compounds. Multivariate data analysis was employed by using PCA in order to classify samples into groups, trends and outliers, which maximize the information, can be obtained from spectral data. OPLS-DA was used to correlate the chemical profile with tested biological activity. Metabolomics has been shown to be a powerful facilitator in the discovery of natural products, which are considered an excellent source for novel leads