In-vitro Anticancer and In silico Assessment of Oxalis corniculata Against Colorectal Cancer (HCT 116) Cell line

Colorectal cancer is the third most frequently diagnosed cancer in both genders and the fourth foremost cause in respect to cancer-associated mortality. The metastasis mechanism of colorectal cancer shows that it gradually developed in the form of polyps under granular cells in the large intestine, which damages blood and lymph vessels. At present, chemotherapy and surgery are the major clinical approaches in treatment. Therefore, developing novel and effective drugs are requiring use of natural derivative compounds, a potent and significant effect in restricting the progression of colorectal cancer (CRC). The present research investigates the in vitro anticancer properties of various extracts of plant Oxalis corniculata counter cell viability of CRC cell line (HCT116) using an MTT assay. In silico docking studies of hexadecanoic acid were performed with cytochrome P450CYP17A1 protein (3RUK) to predict potential inhibitors and druglikeness as potential CRC inhibitors using ADME profiling adhered to five rule of Lipinski. The finding indicated the extracts of the Oxalis corniculata have anticancer and anti-proliferative activity. The cell cytotoxic observed against chloroform extract exhibited the highest inhibition against the HCT116 cell line, following ethanol and aqueous extract. The determined IC50 values for the ethanol, aqueous, and chloroform extracts were 53.94±1.29 µg/ml, 61.85±0.43 µg/ml, and 47.34±1.24 µg/ml, respectively The in silico molecular docking result shows that n-hexadecanoic acid compound was found to be effective against 3RUK protein associated with CRC. Therefore, the finding suggests Oxalis corniculata plants could be used to formulate potential therapeutic drugs for the development of anticancer agents.

Association of metabolic syndrome with gestational hypertension

Background: Metabolic syndrome is a group of clinical, metabolic and biochemical abnormalities with negative impact on global health. The aim of the study was to determine the association between metabolic syndrome and pregnancy induced hypertension, and incidence and effects of metabolic syndrome in pregnant patients.Methods: Prospective observational study, performed in the Department of Obstetrics and Gynecology, Holy Family Hospital, New Delhi. Antenatal women before 20 weeks of gestation were enrolled in the study. Metabolic syndrome was diagnosed by utilizing the pregnancy adaptation of MeS criteria of NCEPATP III laboratory and clinical criteria. Cases were followed throughout pregnancy to observe their progression into hypertensive disorders of pregnancy i.e. gestational hypertension, pre-eclampsia and eclampsia.Results: Out of 100 cases with metabolic syndrome 37% developed PIH, 21 developed pre-eclampsia and 14 developed gestational hypertension, 2 patients developed eclampsia as compared to controls in which only 10% developed PIH among which only 3% developed pre-eclampsia.Conclusions: Our study demonstrates a higher rate of complicated pregnancy with higher incidence of PIH in association with metabolic syndrome compared to control group. Each component of metabolic syndrome increases the probability of PIH. The addition of components of metabolic syndrome exacerbates this probability, especially the combination of increased BMI, increased blood sugar levels and increased triglycerides.

BROWSER EXTENSION TO DETECT AND CLASSIFY MALICIOUS URLS

The straightforward demonstration of surfing on the web can turn into an overwhelming task making it almost difficult to get away from hackers and their assaults. Numerous conventional procedures are active to prevent clients from tapping on a malevolent URL, opening loathsome connections, or drawing in with deluding promotions can prompt deadly results. This paper centres on recognizing and classifying Malicious URLs since this is a strong and compelling method to stop assaults. Assailants regularly attempt to transform at least one parts of URL involving them for assaults on client's framework by Drive-by download, phishing, social designing and spam. The created framework will utilize a regulated machine learning approach. Our framework design is isolated into two modules: the initial one is preparing and the second is identification. This framework is carried out as an augmentation for internet browsers to make it user centric.