Browsing by Author "Selim, Nabil M"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Green Biosynthesis of Silver Nanoparticles Using Annona glabra and Annona squamosa Extracts with Antimicrobial, Anticancer, Apoptosis Potentials, Assisted by In Silico Modeling, and Metabolic Profiling
    (Multidisciplinary Digital Publishing Institute (MDPI), 2022-11) Mokhtar, Fatma A; Selim, Nabil M; Elhawary, Seham S; Abd El Hadi, Soha R; Hetta, Mona H; Albalawi, Marzough A; Shati, Ali A; Alfaifi, Mohammad Y; Elbehairi, Serag Eldin I; Fahmy, Lamiaa I; Ibrahim, Rana M
    Annona glabra L. (AngTE) and Annona squamosa L. (AnsTE) fruits have been widely used in cancer treatment. Accordingly, their extracts were used to synthesize silver nanoparticles via a biogenic route (Ang-AgNPs) and (Ans-AgNPs), respectively. Chemical profiling was established using UPLC-QTOF-MS/MS. All species were tested for anticancer activity against human cervical cancer cells (HeLa), prostate adenocarcinoma metastatic (PC3), and ovary adenocarcinoma (SKOV3) using sulphorhodamine B assay. Apoptosis was determined using Annexin flow cytometry along with cell cycle analysis and supported by a molecular docking. The antibacterial and synergistic effect when combined with gentamicin were evaluated. A total of 114 compounds were tentatively identified, mainly acetogenins and ent-kaurane diterpenes. AnsTE and Ans-AgNPs had the most potent cytotoxicity on HeLa and SKOV3 cells, inducing a significant apoptotic effect against all tumor cells. The AnsTE and Ans-AgNPs significantly arrested PC3, SKOV3, and HeLa cells in the S phase. The nanoparticles demonstrated greater antibacterial and antifungal activities, as well as a synergistic effect with gentamicin against P. aeruginosa and E. coli. Finally, a molecular docking was attempted to investigate the binding mode of the identified compounds in Bcl-2 proteins’ receptor, implying that the fruits and their nanoparticles are excellent candidates for treating skin infections in patients with ovarian or prostatic cancer.
  • Thumbnail Image
    Item
    Metabolomics‑based profling of 4 avocado varieties using HPLC–MS/ MS andGC/MS and evaluation of their antidiabetic activity
    (Springer nature, 23/03/2022) Younis, InasY; Khattab, Amira R; Selim, Nabil M; Sobeh, Mansour; Elhawary, Seham S; El Bishbishy, Mahitab H
    Seven avocado “Persea americana” seeds belonging to 4 varieties, collected from diferent localities across the world, were profled using HPLC–MS/MS and GC/MS to explore the metabolic makeup variabilities and antidiabetic potential. For the frst time, 51 metabolites were tentatively- identifed via HPLC–MS/MS, belonging to diferent classes including favonoids, bifavonoids, naphthodianthrones, dihydrochalcones, phloroglucinols and phenolic acids while 68 un-saponifed and 26 saponifed compounds were identifed by GC/MS analysis. The primary metabolic variabilities existing among the diferent varieties were revealed via GC/MS-based metabolomics assisted by unsupervised pattern recognition methods. Fatty acid accumulations were proved as competent, and varietal-discriminatory metabolites. The antidiabetic potential of the diferent samples was explored using in-vitro amylase and glucosidase inhibition assays, which pointed out toGwen (KG) as the most potent antidiabetic sample. This could be attributed to its enriched content of poly-unsaturated fatty acids and polyphenolics. Molecular docking was then performed to predict the most promising phytoligands in KG variety to be posed as antidiabetic drug leads. The highest in-silico α-amylase inhibition was observed with chrysoeriol-4′-O-pentoside-7-O-rutinoside, apigenin-7-glucuronide and neoeriocitrin which might serve as potential drug leads for the discovery of new antidiabetic remedies.