Chronic Inflammatory-Modulating Potential Of Cassia Auriculata With Pro- Inflammatory Cytokine Il-1beta And Its Anticancer Effect On Lung Cancer Cell Line

ANTI-CANCER AGENTS IN MEDICINAL CHEMISTRY(2021)

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摘要
Background: Inflammation is a key element in tumor progression, over time, persistent inflammation causes damage to DNA and leads to cancer. The relationship between chronic inflammation and tumor development is well established, blocking of which can help in cancer prevention and treatment in the future.Objective: Hence, with this background, the present study aims to evaluate the anti-inflammatory and anticancer potential of Cassia auriculata (CA) solvent fractions through in silico and in vitro means, respectively.Methods: Generally, inflammatory mediators play a key task in chronic inflammation, following its inflection was chosen for their interactions with nine structurally varied phytoconstituents of CA identified through GC-MS. The ethanolic extract of CA was assessed for its apoptotic effects on A549 lung cancer cells by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay, JC-10 staining, DNA fragmentation assay and quantitative Real-Time Polymerase Chain Reaction (qRT-PCR).Results: The interactions between bioactive components and target protein revealed that important molecules like 5,7-dihydroxy-2-[2-nethoxyphenyl]4H-1-Benzopyran-4-one, a flavonoid, and three other components can bind target interleukin 1-beta associated with lung cancer. In vitro data also confirmed that the diverse active components of CA extract might follow the intrinsic mitochondrial pathway to provoke cancer cell death.Conclusion: Hence, these findings strongly propose that Cassia auriculata (CA) solvent fractions could be exploited in the future to design ligands for obtaining novel leads for treating chronic inflammation linked with lung cancer, and also the extracts of CA can be recommended as a potential agent for lung cancer chemotherapy.
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关键词
Chronic inflammation, Cassia auriculata, GC-MS, molecular docking, IL-1 beta, MTT, QRT-PCR
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