In silico pharmacological prediction and cytotoxicity of flavonoids glycosides identified by UPLC-DAD-ESI-MS/MS in extracts of Humulus lupulus leaves cultivated in Brazil.
Regislainy Gomes da SilvaTamires Cunha AlmeidaAdriana Cotta Cardoso ReisSidney Augusto Vieira FilhoGeraldo Célio BrandãoGlenda Nicioli da SilvaHildeberto Caldas de SousaVera Lúcia de AlmeidaJulio César Dias LopesGustavo Henrique Bianco de SouzaPublished in: Natural product research (2020)
Ethanolic (EB) extract and hexanic (SH) and hydromethanolic (SEM) sub-extracts of Humulus lupulus leaves were submitted to cytotoxicity evaluation and to phytochemical methods. The effect of EB and SEM on cellular cycle was evaluated by propidium iodide method and the phases were quantified through flow cytometry. The cytotoxicity assessment was done using T24 and MRC5 cells, with EB and SEM (25-1200 µg/mL). By means of UPLC-DAD-MS/MS data were identified the flavonoids astragaline, nicotiflorin, kaempferol-7-O-rutinoside, robinin, hyperin, rutin, quercetin-7-O-rutinoside and manghaslin. EB (800 µg/mL) and SEM (1200 µg/mL) reduces the T24 cell viability. These extracts at 25 µg/mL stimulate the growth of MRC5 cells, evidencing a selective cytotoxicity. After 24 h of the treatment with extracts was not observed cycle arrest of T24 cells. The bioactivity prediction of the flavonoids was evaluated in silico through in house Active-IT software and PASSonline which indicated potential activity as antitumoral, cytotoxic, anti-inflammatory, antiparasitic, antimicrobial, antiviral and others.
Keyphrases
- ms ms
- induced apoptosis
- flow cytometry
- simultaneous determination
- anti inflammatory
- liquid chromatography tandem mass spectrometry
- cell cycle arrest
- oxidative stress
- staphylococcus aureus
- molecular docking
- endoplasmic reticulum stress
- cell death
- data analysis
- signaling pathway
- machine learning
- combination therapy
- cell proliferation
- climate change
- deep learning
- high resolution
- mass spectrometry