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Медицинская библиотека · Indian journal of experimental biology · 2016

Identification of Anticancer and Antioxidant phytoconstituents from chloroform fraction of Solanum nigrum L. berries using GC-MS/MS analysis.

Khan Homa Jilani, Ahmad Mohammad Kaleem, Khan Abdul Rahman, Rastogi Namarata, Mahdi Abbas Ali, Ansari Jamal Akhtar, Fatima Nishat, Satyanarayan G N V

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Аннотация

Solanum nigrum is a traditional Indian plant acclaimed for its medicinal properties since antiquity. Among all plant parts fruit berries have shown to be most pharmacologically active part. In the present investigation, we tried to characterize the bioactive principles of chloroform fraction of S. nigrum (CFSn) fruit berries using GC-MS analysis. We could identify 29 compounds belonging to different chemical classes viz. alkaloids, flavonoids, carbohydrates, glycosides, phytosterols, proteins, phenolic compounds, and saponins. More specifically, we found two novel phenolic compounds, benzoiisovanillin and syringic acid (4-hydroxy-3, 5-dimethoxybenzoic acid), which may be responsible for its pharmacological properties. Our phytochemical investigation of CFSn was well supported by its total phenolic content and antioxidant activity which we evaluated subsequently. Further, we investigated the anticancer activity against breast cancer cell lines (MDA-MB-231 and MCF-7) as well. Our in vitro results indicated that CFSn exhibited significant antiproliferative activity against both these cell lines and due induction of cancer cell death through apoptosis. Our study emphasizes the need for isolation and characterization of specific bioactive compounds of CFSn and determination of their mechanism of action responsible for its anticancer activity in breast cancer cells.

Для цитирования: Khan Homa Jilani, Ahmad Mohammad Kaleem, Khan Abdul Rahman, Rastogi Namarata, Mahdi Abbas Ali, Ansari Jamal Akhtar, Fatima Nishat, Satyanarayan G N V. Identification of Anticancer and Antioxidant phytoconstituents from chloroform fraction of Solanum nigrum L. berries using GC-MS/MS analysis.. Indian journal of experimental biology. 2016.

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