Detection of pathological molecular alterations in scrapie-infected hamster brain by Fourier transform infrared (FT-IR) spectroscopy

Abstract

In this report a new approach for the identification of pathological changes in scrapie-infected Syrian hamster brains using Fourier transform infrared microspectroscopy is discussed. Using computer-based pattern recognition techniques and imaging, infrared maps with high structural contrast were obtained. This strategy permitted comparison of spectroscopic data from identical anatomical structures in scrapie-infected and control brains. Consistent alterations in membrane state-of-order, protein composition, carbohydrate and nucleic acid constituents were detected in scrapie-infected tissues. Cluster analysis performed on spectra of homogenized medulla oblongata and pons samples also reliably separated uninfected from infected specimens. This method provides a useful tool not only for the exploration of the disease process but also for the development of rapid diagnostic and screening techniques of transmissible spongiform encephalopathies.

Fourier Transform Infrared Microspectroscopy for Cancer Diagnostic of C6 Glioma on Animal Model

“…This reduction was also observed in the invasive area (clusters 5 and 7), which is composed of healthy and tumoral cells. This result is in agreement with those obtained in brain diseases Kneipp et al, 2000).…”

“…As the image contrast is based on the intrinsic vibrational signature of the tissue components, spectral images does not require the use of added dyes or labelling methods for visualization of different chemical components in the sample (Bates, 1976). Indeed, FT-IRM imaging combined a high spatially resolved morphological and biochemical information that offer a number of advantages for ex-vivo assessment of tissue and aid the histopathologist in the identification and classification of subtle biochemical changes related to carcinogenesis (Petibois & Déléris, 2006;Cohenford & Rigas, 1998;Kneipp et al, 2000;Yano et al, 2000). With the fast image acquisition provided by modern mid-infrared imaging systems, it is now envisaged to analyze tumor biopsies in delays compatible with surgery .…”

Diagnosis of Periodontal Disease from Saliva Samples Using Fourier Transform Infrared Microscopy Coupled with Partial Least Squares Discriminant Analysis

“…The IR spectrum of a biological sample is formed by superposition of all infrared-active vibrational modes of all the molecules present in the sample. Therefore, FT-IR has been recently applied to analyze biological samples for the following purposes: classification of bacteria, 4-11 discrimination of cancer cells, [12][13][14][15][16][17][18][19][20] detection of scrapie, 18,[21][22][23] and histopathologic recognition. 24,25 Importantly, Xiang et al used mid-infrared spectroscopy to analyze the gingival crevicular fluid (GCF) in order to determine differences between periodontitis, gingivitis, and normal sites.…”

A molecular and biophysical comparison of macromolecular changes in imatinib-sensitive and imatinib-resistant K562 cells exposed to ponatinib

“…These manipulations yield both qualitative and quantitative information. In obtaining spectral data, shifts in peak positions and changes in bandwidths and band intensities are used to obtain structural and functional information and also changes in cellular components such as lipids, proteins, carbohydrates, and nucleic acids in the systems analyzed [9,11]. The changes in the studied tissue or cells indicate specific biological differentiation processes such as disease progression.…”