Kamila Kochan

Raman Imaging Providing Insights into Chemical Composition of Lipid Droplets of Different Size and Origin: In Hepatocytes and Endothelium

In this work, 3D linear Raman spectroscopy was used to study lipid droplets (LDs) ex vivo in liver tissue and also in vitro in a single endothelial cell. Spectroscopic measurements combined with fluorescence microscopy and/or histochemical staining gave complex chemical information about LD composition and enabled detailed investigations of the changes occurring in various pathological states. Lipid analysis in fatty liver tissue was performed using a dietary mouse model of liver steatosis, induced by a high fat diet (HFD). HFD is characterized by a high percentage of calories from saturated fat (60%) and reflects closely the detrimental effects of dietary habits responsible for increased morbidity due to obesity and its complications in well-developed Western societies. Such diets lead to obesity, hyperlipidemia, insulin resistance, and steatosis that may also be linked to endothelial dysfunction. In the present work, Raman spectroscopy was applied to characterized chemical composition of lipid droplets in hepatocytes from mice fed HFD and in the endothelium treated with exogenous unsaturated free fatty acid (arachidonic acid). The results demonstrate the usefulness of Raman spectroscopy to characterize intracellular lipid distribution in 2D and 3D images and can be used to determine the degree of saturation. Raman spectroscopy shows the potential to be a valuable tool for studying the role of LDs in physiology and pathology. The method is generally applicable for the determination of LDs of different size, origin, and composition. Moreover, for the first time, the process of LD formation in the endothelium was detected and visualized in 3D.

Raman and infrared spectroscopy of carbohydrates: A review

Carbohydrates are widespread and naturally occurring compounds, and essential constituents for living organisms. They are quite often reported when biological systems are studied and their role is discussed. However surprisingly, up till now there is no database collecting vibrational spectra of carbohydrates and their assignment, as has been done already for other biomolecules. So, this paper serves as a comprehensive review, where for selected 14 carbohydrates in the solid state both FT-Raman and ATR FT-IR spectra were collected and assigned. Carbohydrates can be divided into four chemical groups and in the same way is organized this review. First, the smallest molecules are discussed, i.e. monosaccharides (d-(-)-ribose, 2-deoxy-d-ribose, l-(-)-arabinose, d-(+)-xylose, d-(+)-glucose, d-(+)-galactose and d-(-)-fructose) and disaccharides (d-(+)-sucrose, d-(+)-maltose and d-(+)-lactose), and then more complex ones, i.e. trisaccharides (d-(+)-raffinose) and polysaccharides (amylopectin, amylose, glycogen). Both Raman and IR spectra were collected in the whole spectral range and discussed looking at the specific regions, i.e. region V (3600-3050cm-1), IV (3050-2800cm-1) and II (1200-800cm-1) assigned to the stretching vibrations of the OH, CH/CH2 and C-O/C-C groups, respectively, and region III (1500-1200cm-1) and I (800-100cm-1) dominated by deformational modes of the CH/CH2 and CCO groups, respectively. In spite of the fact that vibrational spectra of saccharides are significantly less specific than spectra of other biomolecules (e.g. lipids or proteins), marker bands of the studied molecules can be identified and correlated with their structure.

Raman spectroscopy analysis of lipid droplets content, distribution and saturation level in Non-Alcoholic Fatty Liver Disease in mice.

Non-Alcoholic Fatty Liver Disease (NAFLD) is a common liver disorder, characterized by an excessive lipids deposition within the hepatic tissue. Due to the lack of clear-cut symptoms and optimal diagnostic method, the actual prevalence of NAFLD and its pathogenesis remains unclear, especially in the early stages of progression. In the presented work confocal Raman microspectroscopy was used to investigate alterations in the chemical composition of the NAFLD-affected liver. We have investigated two NAFLD models, representative for macrovesicular and microvesicular steatosis, induced by High Fat Diet (60 kcal %) and Low Carbohydrate High Protein Diet (LCHP), respectively. In both models we confirmed the development of NAFLD, manifested by the presence of lipid droplets (LDs), but of different sizes. Model of macrovesicular steatosis was characterized by large LDs, whereas in the microvesicular steatosis model small droplets were found. In both models, however, we observed a significant decrease in the degree of unsaturation of lipids, in comparison to the control. In addition, for both models, the impact of medical treatment with selected drugs (perindopril and nicotinic acid, respectively) was tested, indicating a significant influence of medicine not only on the occurrence and size of the droplets, but also on their composition. In both cases the drug treatment resulted in an increase of the degree of unsaturation of lipids forming droplets. Confocal Raman microspectroscopy was proven to be a powerful tool providing detailed insight into selected areas of hepatic tissue, following the NAFLD pathogenesis and diagnostic potential of the applied drugs.

The liver-selective NO donor, V-PYRRO/NO, protects against liver steatosis and improves postprandial glucose tolerance in mice fed high fat diet

BACKGROUND AND PURPOSE There is an unmet medical need for novel NAFLD treatments. Here we have examined the effects of liver-selective NO donor (V-PYRRO/NO) as compared with metformin on hepatic steatosis and glucose tolerance in mice fed high fat diet. MATERIAL AND METHODS Effects of V-PYRRO/NO (5 mgkg(-1)) or metformin (616 mgkg(-1)) were examined in C57BL/6J mice fed high fat diet (HF, 60 kcal% fat). Quantitative determination of steatosis, liver fatty acid composition and western blot analysis of selected proteins involved in mitochondrial biogenesis, fatty acid de novo synthesis and oxidation, triacylglycerols and cholesterol transport from the liver were performed. Liver NOx and nitrate concentration and blood biochemistry were also analyzed. RESULTS V-PYRRO/NO and metformin reduced liver steatosis with simultaneous reduction of total liver triacylglycerols, diacylglycerols and ceramides fraction and reversed HF-induced decrease in UFA/SFA ratio. V-PYRRO/NO substantially improved postprandial glucose tolerance, while the effect of metformin was modest and more pronounced on HOMA IR index. The anti-steatotic mechanism of V-PYRRO/NO was dependent on NO release, differed from that of metformin and involved improved glucose tolerance and inhibition of de novo fatty acid synthesis by Akt activation and ACC phosphorylation. In turn, major mechanism of metformin action involved increased expression of proteins implicated in mitochondrial biogenesis and metabolism (PGC-1α, PPARα, COX IV, cytochrome c, HADHSC). CONCLUSIONS V-PYRRO/NO acts as a liver-specific NO donor prodrug affording pronounced anti-steatotic effects and may represent an efficient, mechanistically novel approach to prevent liver steatosis and insulin resistance.

Comparison of FTIR transmission and transfection substrates for canine liver cancer detection

FTIR spectroscopy is a widely used technique that provides insights into disease processes at the molecular level. Due to its numerous advantages it is becoming an increasingly powerful tool for the study of biological materials and has the potential to become an excellent diagnostic method, especially considering the low cost of transflection substrates. However, questions about the usefulness of the transflection measurement mode due to the complicated nature of physical processes occurring during the measurement and in particular the Electric Field Standing Wave (EFSW) effect have been raised. In this paper we present a comparison of the two most common FT-IR measurement modes: transmission and transfection using healthy and pathologically altered tissue (histiocytic sarcoma). We found that the major differences between normal and cancerous tissue were associated with changes DNA and carbohydrate content. In particular we identified a band at 964 cm(-1) assigned to a nucleic acid phosphodiester backbone mode, which appeared more pronounced in cancerous tissue irrespective of the substrate. We applied Principal Component Analysis, Unsupervised Hierarchical Cluster Analysis and k-means clustering to transmission and transflection substrates and found that both measurement modes were equally capable of discrimination normal form cancerous tissue. Moreover, the differences between spectra from cancerous and normal tissue were significantly more important than the ones arising from the measurement modes.

Analytical Techniques in Lipidomics: State of the Art

ABSTRACT Current studies related to lipid identification and determination, or lipidomics in biological samples, are one of the most important issues in modern bioanalytical chemistry. There are many articles dedicated to specific analytical strategies used in lipidomics in various kinds of biological samples. However, in such literature, there is a lack of articles dedicated to a comprehensive review of the actual analytical methodologies used in lipidomics. The aim of this article is to characterize the lipidomics methods used in modern bioanalysis according to the methodological point of view: (1) chromatography/separation methods, (2) spectroscopic methods and (3) mass spectrometry and also hyphenated methods. In the first part, we discussed thin layer chromatography (TLC), high-pressure liquid chromatography (HPLC), gas chromatography (GC) and capillary electrophoresis (CE). The second part includes spectroscopic techniques such as Raman spectroscopy (RS), Fourier transform infrared spectroscopy (FT-IR) and nuclear magnetic resonance (NMR). The third part is a synthetic review of mass spectrometry, matrix-assisted laser desorption/ionization (MALDI), hyphenated methods, which include liquid chromatography–mass spectrometry (LC-MS), gas chromatography–mass spectrometry (GC-MS) and also multidimensional techniques. Other aspects are the possibilities of the application of the described methods in lipidomics studies. Due to the fact that the exploration of new methods of lipidomics analysis and their applications in clinical and medical studies are still challenging for researchers working in life science, we hope that this review article will be very useful for readers.

Vascular diseases investigated ex vivo by using Raman, FT-IR and complementary methods

This work shows the application of vibrational spectroscopy supported by other complementary techniques in analysis of tissues altered by vascular diseases, in particular atherosclerosis. The analysis of atherosclerotic plaque components, as well as label-free imaging of vessels and identification of biochemical markers of endothelial dysfunction are reported. Additionally, the potential of vibrational spectroscopy imaging in following the disease progression (including calcification) and pathological changes in heart valves is described. The presented research shows the effectiveness of techniques used in the biochemical studies of altered tissues and summarizes their capabilities in research on vascular diseases. The scope of the paper is to collect previously published work connected with the application of Raman spectroscopy, FT-IR spectroscopy and complementary methods for the investigation of vascular diseases ex vivo and presenting it in a comprehensive overview.

Multispectral Atomic Force Microscopy-Infrared Nano-Imaging of Malaria Infected Red Blood Cells

Atomic force microscopy-infrared (AFM-IR) spectroscopy is a powerful new technique that can be applied to study molecular composition of cells and tissues at the nanoscale. AFM-IR maps are acquired using a single wavenumber value: they show either the absorbance plotted against a single wavenumber value or a ratio of two absorbance values. Here, we implement multivariate image analysis to generate multivariate AFM-IR maps and use this approach to resolve subcellular structural information in red blood cells infected with Plasmodium falciparum at different stages of development. This was achieved by converting the discrete spectral points into a multispectral line spectrum prior to multivariate image reconstruction. The approach was used to generate compositional maps of subcellular structures in the parasites, including the food vacuole, lipid inclusions, and the nucleus, on the basis of the intensity of hemozoin, hemoglobin, lipid, and DNA IR marker bands, respectively. Confocal Raman spectroscopy was used to validate the presence of hemozoin in the regions identified by the AFM-IR technique. The high spatial resolution of AFM-IR combined with hyperspectral modeling enables the direct detection of subcellular components, without the need for cell sectioning or immunological/biochemical staining. Multispectral-AFM-IR thus has the capacity to probe the phenotype of the malaria parasite during its intraerythrocytic development. This enables novel approaches to studying the mode of action of antimalarial drugs and the phenotypes of drug-resistant parasites, thus contributing to the development of diagnostic and control measures.

A comprehensive approach to study liver tissue: Spectroscopic imaging and histochemical staining

The liver, due to its central role in the regulation of metabolism and multiplicity of its other functions, is exposed to a high number of pathogenic factors. Non-Alcoholic Fatty Liver Disease (NAFLD), manifested mainly by changes in livers lipid profile, represent one of the most frequently occurring liver pathology, that is often underestimated at an early stage of its development. The pathogenesis as well as the treatment of NAFLD has not been fully established yet. The difficulty associated with this arises from the need to detect very subtle changes. With regard to fulfilling these expectations, from all available research methods vibrational spectroscopic imaging techniques attract special attention, as they possess a great potential to detect even minor variation in chemical composition of the sample. The specificity of infrared imaging and Raman mapping along with their complementarity provides the ability to obtain comprehensive information on the molecular level. Here we present an approach for the study of liver tissue based on the simultaneous application of vibrational spectroscopic imaging and multirivate data analysis combined with histochemical staining.

Single cell assessment of yeast metabolic engineering for enhanced lipid production using Raman and AFM-IR imaging

BackgroundBiodiesel is a valuable renewable fuel made from derivatized fatty acids produced in plants, animals, and oleaginous microbes. Of the latter, yeasts are of special interest due to their wide use in biotechnology, ability to synthesize fatty acids and store large amounts of triacylglycerols while utilizing non-food carbon sources. While yeast efficiently produce lipids, genetic modification and indeed, lipid pathway metabolic engineering, is usually required for cost-effective production. Traditionally, gas chromatography (GC) is used to measure fatty acid production and to track the success of a metabolic engineering strategy in a microbial culture; here we have employed vibrational spectroscopy approaches at population and single cell level of engineered yeast while simultaneously investigating metabolite levels in subcellular structures.ResultsFirstly, a strong correlation (r2 > 0.99) was established between Fourier transform infrared (FTIR) lipid in intact cells and GC analysis of fatty acid methyl esters in the differently engineered strains. Confocal Raman spectroscopy of individual cells carrying genetic modifications to enhance fatty acid synthesis and lipid accumulation revealed changes to the lipid body (LB), the storage organelle for lipids in yeast, with their number increasing markedly (up to tenfold higher); LB size was almost double in the strain that also expressed a LB stabilizing gene but considerable variation was also noted between cells. Raman spectroscopy revealed a clear trend toward reduced unsaturated fatty acid content in lipids of cells carrying more complex metabolic engineering. Atomic force microscopy-infrared spectroscopy (AFM-IR) analysis of individual cells indicated large differences in subcellular constituents between strains: cells of the most highly engineered strain had elevated lipid and much reduced carbohydrate in their cytoplasm compared with unmodified cells.ConclusionsVibrational spectroscopy analysis allowed the simultaneous measurement of strain variability in metabolite production and impact on cellular structures as a result of different gene introductions or knockouts, within a lipid metabolic engineering strategy and these inform the next steps in comprehensive lipid engineering. Additionally, single cell spectroscopic analysis measures heterogeneity in metabolite production across microbial cultures under genetic modification, an emerging issue for efficient biotechnological production.