Please use this identifier to cite or link to this item: http://dspace.sctimst.ac.in/jspui/handle/123456789/2388
Title: Optical diagnosis of the progression and reversal of CCl(4)-induced liver injury in rodent model using minimally invasive autofluorescence spectroscopy
Authors: Nazeer, SS
Sandhyamani, S
Jayasree, RS
Issue Date: Mar-2015
Publisher: Analyst.
Citation: Nazeer SS, Sandhyamani S, Jayasree RS. Optical diagnosis of the progression and reversal of CCl(4)-induced liver injury in rodent model using minimally invasive autofluorescence spectroscopy. Analyst. 2015 Apr 8. PubMed PMID: 25853289
Abstract: Worldwide, liver cancer is the fifth most common cancer in men and seventh most common cancer in women. Intoxicant-induced liver injury is one of the major causes for severe structural damage with fibrosis and functional derangement of the liver leading to cancer in its later stages. This report focuses on the minimally invasive autofluorescence spectroscopic (AFS) studies on intoxicant, carbon tetrachloride (CCl4)-induced liver damage in a rodent model. Different stages of liver damage, including the reversed stage, on stoppage of the intoxicant are examined. Emission from prominent fluorophores, such as collagen, nicotinamide adenine dinucleotide (NADH), and flavin adenine dinucleotide (FAD), and variations in redox ratio have been studied. A direct correlation between the severity of the disease and the levels of collagen and redox ratio was observed. On withdrawal of the intoxicant, a gradual reversal of the disease to normal conditions was observed as indicated by the decrease in collagen levels and redox ratio. Multivariate statistical techniques and principal component analysis followed by linear discriminant analysis (PC-LDA) were used to develop diagnostic algorithms for distinguishing different stages of the liver disease based on spectral features. The PC-LDA modeling on a minimally invasive AFS dataset yielded diagnostic sensitivities of 93%, 87% and 87% and specificities of 90%, 98% and 98% for pairwise classification among normal, fibrosis, cirrhosis and reversal conditions. We conclude that AFS along with PC-LDA algorithm has the potential for rapid and accurate minimally invasive diagnosis and detection of structural changes due to liver injury resulting from various intoxicants.
URI: http://dx.doi.org/10.1039/C4AN01507J
http://dspace.sctimst.ac.in/jspui/handle/123456789/2388
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