ABSTRACT
It is well known that the chiral materials combined with metal ion's structure have been identified as promising candidate for the nursing Alzheimer Disease (AD) treatment, particularly to inhibit amyloid (Aß) due to their significant pharmacological effect on the living bodies. In the present study, Cu(II)/Chitosan nanocomposite caped with chiral penicillamine (Cu@D-PEN/Chitosan) have been synthesized and used as an effective amyloid-ß (Aß) inhibitor. The composite formations of the samples were confirmed from the FTIR and XRD, studies. FE-SEM, TEM and AFM studies have been carried out to depict the morphological analysis of the nanocomposites. The prepared samples have also been subjected to various in vitro studies such as encapsulation efficiency, drug loading capacity, drug release and biodegrading or compatibility of the nanocomposites to support the Aß aggregation inhibiting ability investigations. It was observed that the increase in the concentration of the Cu@D-PEN/Chitosan enhancing the Aß inhibiting ability. Thus, the Cu(II)@D-PEN/Chitosan showed improving memory effect suggesting that Cu(II)@D-PEN/Chitosan nanocomposites may be a potential candidate for inhibiting the Aß aggregation in nursing AD treatment.
ABSTRACT
Confocal Raman microscopy system was used to investigate the etiology of colorectal cancer at the molecular level. A total of two hundred and thirty four micro-Raman spectra were measured from thirty nine patients for surgically resected colorectal cancer specimens and adjacent normal tissues in the region 900-2 100 cm(-1). Two bands at 1 064 and 1 134 cm(-1) which are attributed to the all-trans bond stretching vibrations of the C-C lipid skeleton decreased in colorectal cancer tissue samples. The ratio of the Raman band intensity at 1 299 cm(-1) assigned to in-phase CH2 twisting vibrations of lipids to that at 1 264 cm(-1) from CH in-plane deformation was different for colorectal cancerous and normal tissues. The mean values of the (I1 299/I1 264) were 3.17 for normal tissues and 1.33 for cancer tissues using the software function of "Compare Means". Further, the scatter plots were used for grouping the ratio of Raman intensity at 1 299 to 1 264 cm(-1) according to tissue pathologic types by graph of the SPSS16.00 software. The decision lines (I1 299 /I1 264 = 1.96) separates between cancer and normal tissue with a coincidence rate of 94% (188/200) according to the histological results by graph. The results show that the differences between cancer and normal tissue spectra appear to arise from a decrease in the degree of the longitudinal order and an increase in the degree of unsaturation of lipid, which causes the fluidity of lipid to increases when normal cells are transformed into cancerous cells.
