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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Avicenna Journal of Phytomedicine
- نوع مقاله: Journal Article
- کلمات کلیدی: oxidative stress,Hemidesmus indicus,High fat diet,Plasma lipid profile,Antihyperlipidemia,Liver protection
- چکیده:
- چکیده انگلیسی:
Objective: Dietary changes playmajor risk roles in oxidative stress andcardiovascular disease and modulate normal metabolic function. The present study was designed to investigate the ameliorative potential of different extracts of Hemidesmus indicus to experimental high-fat diet in wistar rats, and their possible mechanism of action.
Materials and Methods: Male wistar rats were divided into 6 groups (n=6/group) andfed with a standard diet (control), high-fat diet (HFD), high-fat diet supplemented with different extracts and positive control for 9 weeks. High-fat diet induced changes in average body weight andoxidative stress and elevated levels of plasma lipid profilein rats.
Results: Oral administration of methanolic extract of H. indicus(200 mg/kg) offered a significant dose-dependent protection against HFD-induced oxidative stress, as reflected in the levels of catalase (p
Conclusion: The present study revealed that the methanolic extract of H.indicus protects against oxidative stress, hyperlipidemia and liver damage.- انتشار مقاله: 16-04-1394
- نویسندگان: Suganya Venkateshan,Vetriselvan Subramaniyan,Velmurugan Chinnasamy,Sarath Chandiran
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Cytotoxicity,Heterocycles,Multicomponent reactions and sodiumazide
- چکیده:
- چکیده انگلیسی:
Anticancer approaches may employ change of molecular structure to enhance preventive influence of chemical agents. The present examination concerned the potential anticancer impact of modified heterocyclic compounds. A strategy was developed to combine tetrazole moieties from different diamines with 2-aminobenzoic and substituted benzoyl chloride compounds with attention to synthesis, characterization and assessment of cancer preventive activity, applying IR, 1HNMR, 13CNMR and Mass spectra.- انتشار مقاله: 10-08-1396
- نویسندگان: Vijayakumar K,Sountharrajan S,Suganya E
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Support vector machine,Receiver Operating Curve (ROC),Surface Acoustic Wave (SAW),Human Epidermal Growth Receptor (HER-2)
- چکیده:
- چکیده انگلیسی:
Breast Cancer one of the appalling diseases among the middle-aged women and it is a foremost threatening death possibility cancer in women throughout the world. Earlier prognosis and preclusion reduces the conceivability of death. The proposed system beseech various data mining techniques together with a real-time input data from a biosensor device to determine the disease development proportion. Surface acoustic waves (SAW) biosensor empowers a label-free, worthwhile and straight detection of HER-2/neu cancer biomarker. The output from the biosensor is fed into the proposed system as an input along with data collected from Winconsin dataset. The complete dataset are processed using data mining classification algorithms to predict the accuracy. The exactness of the proposed model is improved by ranking attributes by Ranker algorithm. The results of the proposed model are highly gifted with an accuracy of 79.25% with SVM classifier and an ROC area of 0.754 which is better than other existing systems. The results are used in designing the proper drug thereby improving the survivability of the patients.- انتشار مقاله: 13-04-1396
- نویسندگان: Sountharrajan S,Karthiga M,Suganya E,Rajan C
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Support vector machine,Receiver Operating Curve (ROC),Surface Acoustic Wave (SAW),Human Epidermal Growth Receptor (HER-2)
- چکیده:
- چکیده انگلیسی:
Breast Cancer one of the appalling diseases among the middle-aged women and it is a foremost threatening death possibility cancer in women throughout the world. Earlier prognosis and preclusion reduces the conceivability of death. The proposed system beseech various data mining techniques together with a real-time input data from a biosensor device to determine the disease development proportion. Surface acoustic waves (SAW) biosensor empowers a label-free, worthwhile and straight detection of HER-2/neu cancer biomarker. The output from the biosensor is fed into the proposed system as an input along with data collected from Winconsin dataset. The complete dataset are processed using data mining classification algorithms to predict the accuracy. The exactness of the proposed model is improved by ranking attributes by Ranker algorithm. The results of the proposed model are highly gifted with an accuracy of 79.25% with SVM classifier and an ROC area of 0.754 which is better than other existing systems. The results are used in designing the proper drug thereby improving the survivability of the patients.- انتشار مقاله: 13-04-1396
- نویسندگان: Sountharrajan S,Karthiga M,Suganya E,Rajan C
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Support vector machine,Receiver Operating Curve (ROC),Surface Acoustic Wave (SAW),Human Epidermal Growth Receptor (HER-2)
- چکیده:
- چکیده انگلیسی:
Breast Cancer one of the appalling diseases among the middle-aged women and it is a foremost threatening death possibility cancer in women throughout the world. Earlier prognosis and preclusion reduces the conceivability of death. The proposed system beseech various data mining techniques together with a real-time input data from a biosensor device to determine the disease development proportion. Surface acoustic waves (SAW) biosensor empowers a label-free, worthwhile and straight detection of HER-2/neu cancer biomarker. The output from the biosensor is fed into the proposed system as an input along with data collected from Winconsin dataset. The complete dataset are processed using data mining classification algorithms to predict the accuracy. The exactness of the proposed model is improved by ranking attributes by Ranker algorithm. The results of the proposed model are highly gifted with an accuracy of 79.25% with SVM classifier and an ROC area of 0.754 which is better than other existing systems. The results are used in designing the proper drug thereby improving the survivability of the patients.- انتشار مقاله: 13-04-1396
- نویسندگان: Sountharrajan S,Karthiga M,Suganya E,Rajan C
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Journal of Green Chemistry
- نوع مقاله: Journal Article
- کلمات کلیدی: Antioxidant,proximate composition,Rhizophora mucronata,Mangroves
- چکیده:
- چکیده انگلیسی: Rhizophora mucronata is a species of mangrove widely distributed in Indian mangrove forest. It seems to be more tolerant of inundation than other mangrove species and often forms an evergreen fringe to mangrove areas. In present study, the methanolic extract of different parts of Rhizophora mucronata, their antioxidant properties along with primary, secondary metabolites and proximate composition, were tested. Better antioxidant activity was gained by methanolic extract of leaf than root and bark extract. Antioxidant potential of the extracts was analyzed as contents of total phenols and flavonoids; radical scavenging activity by the DPPH methods, NO and H2O2 and primary and secondary metabolites assay and the results of antioxidative activities from the R. mucronata plant. The total content of phenols and flavonoids in the methanol extracts of the studied species positively correlated with their antioxidant properties, confirmed their major role in antioxidant activity of these R. mucronata.
- انتشار مقاله: 13-05-1397
- نویسندگان: Samanjit Kaur,Syed Ali Mohamed Yacoob,Anuradha Venktraman,Yogananth Nagarajan,Suganya Vasudevan,Bhuvana Punniyamoorthy
- مشاهده