Flavonoid and cancer prevention – Mini review

Flavonoid, symbolize an extraordinary assembly of plant secondary metabolites, in addition new investigations suggest as a traditional medicines, with therapeutic impact. Flavonoid molecules encompass characteristic structures diversity and wide-ranging pharmacological activities that may afford new drug discovery with inventive and prospective therapeutic indications to cancer chemoprevention and chemotherapy. Recent research background enhances predominantly functional activity of Flavonoids for cancer research. In this review we make sure about Flavonoid with all prospective of their anticancerous property

CERTAIN INDIAN MEDICINAL PLANTS SAFEGUARD AGAINST CANCER

ABSTRACT Herbal products are considered to be symbols of protection in comparison to the synthetic products that are regarded as risky to human life and environment. Some Medicinal plants have therapeutic potential due to the occurrence of natural antioxidants functioning as reducing agents, free radical scavengers and quenchers of singlet oxygen. Majority of their natural activity is due to bioactive compounds viz. phenol, polyphenolic, alkaloids, Saponin, and other secondary metabolites. And now the major challenge in pharmaceutical industry is drug improvement and discovery. This review discusses about some Indian medicinal plants with regard to their anti-cancerous property

Cytopathology Using High Resolution Digital Holographic Microscopy

We summarize a study involving simultaneous imaging of cervical cells from Pap-smear samples using bright-field and quantitative phase microscopy. The optimization approach to phase reconstruction used in our study enables full diffraction limited performance from single-shot holograms and is thus suitable for reducing cost of a quantitative phase microscope system. Over 48000 cervical cells from patient samples obtained from three clinical sites have been imaged in this study. The clinical sites used different sample preparation methodologies and the subjects represented a range of age groups and geographical diversity. Visual examination of quantitative phase images of cervical cell nuclei show distinct morphological features that we believe have not appeared in the prior literature. A PCA based analysis of numerical parameters derived from the bright-field and quantitative phase images of the cervical cells shows good separation of superficial, intermediate and abnormal cells. The distribution of phase based parameters of normal cells is also shown to be highly overlapping among different patients from the same clinical site, patients across different clinical sites and for two age groups (below and above 30 years), thus suggesting robustness and possibility of standardization of quantitative phase as an imaging modality for cell classification in future clinical usage