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Dieter Naumann

Publications and source records attributed to Dieter Naumann.

At least 19 recordsLinked to original sources
PubMed2007

Continuous nondestructive monitoring of Bordetella pertussis biofilms by Fourier transform infrared spectroscopy and other corroborative techniques.

This work describes the application of several analytical techniques to characterize the development of Bordetella pertussis biofilms and to examine, in particular, the contribution of virulence factors in this development. Growth of surface-attached virulent and avirulent B. pertussis strains was monitored in continuous-flow chambers by techniques such as the crystal violet method, and nondestructive methodologies like fluorescence microscopy and Fourier transform (FT) IR spectroscopy. Additionally, B. pertussis virulent and avirulent strains expressing green fluorescent protein were grown adhered to the base of a glass chamber of 1-microm thickness. Three-dimensional images of mature biofilms, acquired by confocal laser scanning microscopy, were quantitatively analysed by means of the computer program COMSTAT. Our results indicate that only the virulent (Bvg(+)) phase of B. pertussis is able to attach to surfaces and develop a mature biofilm. In the virulent phase these bacteria are capable of producing a biofilm consisting of microcolonies of approximately 200 microm in diameter and 24 microm in depth. FTIR spectroscopy allowed us not only to follow the dynamics of biofilm growth through specific biomass and biofilm marker absorption bands, but also to monitor the maturation of the biofilm by means of the increase of the carbohydrate-to-protein ratio.

Biofilms↗
PubMed2006

Rapid species and strain differentiation of non-tubercoulous mycobacteria by Fourier-Transform Infrared microspectroscopy.

Rapid identification of non-tuberculous mycobacteria (NTM) species is important in clinical laboratories to stipulate the appropriate therapy and to offer a comprehensive infection control. We applied Fourier-Transform Infrared microspectroscopy to evaluate, whether the most frequent species of NTM can be rapidly and uniformly identified by this method using microcolonies of NTM growing on solid nutrient agar plates. To establish a standardized protocol, the heterogeneity of cell growth within the microcolonies and the reproducibility of measuring the IR spectra from whole mycobacterial microcolonies were first studied. Hierarchical cluster analysis applied to spectra obtained by linear mapping across microcolony imprints from fast- and slow-growing NTM revealed only little spectral variance between the various microcolony zones. In parallel, when repetitive measurements were performed on independently grown whole single microcolonies with diameters of 80 and 140 mum, excellent reproducibility could be achieved, verifying that mycobacterial microcolonies are well suited for FT-IR-based identification. Twenty-eight different and well-defined strains, comprising the most frequent species of NTM isolated in clinical laboratories, were used to create a classification system based on FT-IR spectra from single microcolonies. Hierarchical cluster analysis allowed the assignment of all isolates measured in replicates to their correct species-specific clusters. Additionally, a clear separation of all strains into strain-specific sub-clusters was observed. These results demonstrate the potential of FT-IR microspectroscopy to rapidly differentiate NTM at the species and strain level. The data so far obtained suggest that an extended spectral database, containing more NTM strains and covering a broader biological variance, may provide a practical solution to rapidly identify unknown NTM isolates in routine clinical-microbiological laboratories with the additional possibility to type these microorganisms at the sub-species level.

Cluster Analysis↗
PubMed2006

Detection of preclinical scrapie from serum by infrared spectroscopy and chemometrics.

In this study we describe a methodology for diagnosing preclinical scrapie infection in hamsters from serum by a combination of Fourier-transform infrared (FT-IR) spectroscopy and chemometrics. Syrian hamsters (Mesocricetus auratus) were orally inoculated with the 263K scrapie agent, or mock-infected, and sera were obtained at 70, 100 and 130 days post infection (dpi) and at the terminal stage of scrapie (160 +/- 10 dpi). The analysis of hamster sera by FT-IR spectroscopy and artificial neural networks (ANN) confirmed results from earlier studies which had indicated the existence of disease-related structural and compositional alterations in the sera of infected donors in the terminal stage of scrapie [Schmitt et al. (2002) Anal Chem 74:3865-3868]. Experimental data from sera of animals in the preclinical stages of scrapie revealed subtle but reproducible spectral variations that permitted the identification of a preclinical scrapie infection at 100 dpi and later, but not at 70 dpi. The IR spectral features that were discriminatory for the preclinical stages differed from those of the terminally ill individuals. In order to reliably identify scrapie-negative as well as preclinical (100 and 130 dpi) and terminal scrapie-positive animals, a hierarchical classification system of independent artificial neural networks (ANN) was established. A "toplevel" ANN was designed which discriminates between animals in the terminal stage of scrapie and preclinical scrapie-positive or control animals. Spectra identified by the "toplevel" ANN as preclinical or controls were then further analyzed by a second classifier, the "sublevel" ANN. Using independent external validation procedures, the toplevel classifier produced an overall classification accuracy of 98%, while the sublevel classifier yielded an accuracy of 93%, indicating that scrapie-specific serum markers were also present for preclinical disease stages. Possible spectral markers responsible for the discrimination capacity of the two different ANNs are discussed.

Animals↗
PubMed2006

Early alterations in myocardia and vessels of the diabetic rat heart: an FTIR microspectroscopic study.

Diabetes mellitus is associated with a high incidence and poor prognosis of cardiovascular disease. The aim of the present study was to examine the effect of relatively short-term (5 weeks) Type I diabetes on the left ventricle, the right ventricle and the vessel (vein) on the left ventricle of the myocardium at molecular level by FTIR (Fourier-transform infrared) microspectroscopy. The rats were categorized into two groups: control group (for the left ventricle myocardium, n=8; for the right ventricle myocardium, n=9; for the vein, n=9) and streptozotocin-induced diabetic group (for the left ventricle myocardium, n=7; for the right ventricle myocardium, n=9; for the vein, n=8). Two adjacent cross-sections of 9 microm thickness were taken from the ventricles of the hearts in two groups of rats by using a cryotome. The first sections were used for FTIR microspectroscopy measurements. The second serial sections were stained by haematoxylin/eosin for comparative purposes. Diabetes caused an increase in the content of lipids, an alteration in protein profile with a decrease in alpha-helix and an increase in beta-sheet structure as well as an increase in glycogen and glycolipid contents in both ventricles and the vein. Additionally, the collagen content was found to be increased in the vein of the diabetic group. The present study demonstrated that diabetes-induced alterations in the rat heart can be detected by correlating the IR spectral changes with biochemical profiles in detail. The present study for the first time demonstrated the diabetes-induced alterations at molecular level in both ventricle myocardia and the veins in relatively short-term diabetes.

Animals↗
PubMed2006

Spatial resolution in infrared microspectroscopic imaging of tissues.

Spatial resolution is one of the most critical measurement parameters in infrared microspectroscopy. Due to the distinct levels of morphologic heterogeneity in cells and tissues the spatial resolution in a given IR imaging setup strongly affects the character of the infrared spectral patterns obtained from the biomedical samples. This is particularly important when spectral data bases of reference microspectra from defined tissue structures are collected. In this paper we have also pointed out that the concept of spatial resolution in IR imaging is inseparable from the contrast. Based on infrared microspectroscopic transmittance data acquired from an USAF 1951 resolution target we have demonstrated how the spatial resolution can be determined experimentally and some numbers for the spatial resolution of popular IR imaging systems are provided. Finally, we have presented a new computational procedure which is suitable to improve the spatial resolution in IR imaging. A theoretical model of 3D-Fourier self-deconvolution (FSD) is given and advantages or pitfalls of this method are discussed. Based on synchrotron IR microspectroscopic data we have furthermore demonstrated that the technique of 3D-FSD can be successfully applied to increase the spatial resolution in a real IR imaging setup.

Animals↗
PubMed2006

FTIR-microspectroscopy of prion-infected nervous tissue.

The family of transmissible spongiform encephalopathies (TSE), also termed prion diseases, is a group of fatal, neurodegenerative diseases characterized by the accumulation of a misfolded protein, the disease-associated prion protein PrPSc. This glycoprotein differs in secondary structure from its normal, cellular isoform PrPC, which is physiologically expressed mostly by neurons. Scrapie is a prion disease first described in the 18th century in sheep and goats, and has been established as a model in rodents to study the pathogenesis and pathology of prion diseases. Assuming a multitude of molecular parameters change in the tissue in the course of the disease, FTIR microspectroscopy has been proposed as a valuable new method to study and identify prion-affected tissues due to its ability to detect a variety of changes in molecular structure and composition simultaneously. This paper reviews and discusses results from previous FTIR microspectroscopic studies on nervous tissue of scrapie-infected hamsters in the context of histological and molecular alterations known from conventional pathogenesis studies. In particular, data from studies reporting on disease-specific changes of protein structure characteristics, and also results of a recent study on hamster dorsal root ganglia (DRG) are discussed. These data include an illustration on how the application of a brilliant IR synchrotron light source enables the in situ investigation of localized changes in protein structure and composition in nervous cells or tissue due to PrPSc deposition, and a demonstration on how the IR spectral information can be correlated with results of complementary studies using immunohistochemistry and x-ray fluorescence techniques. Using IR microspectroscopy, some neurons exhibited a high accumulation of disease-associated prion protein evidenced by an increased amount of beta-sheet at narrow regions in or around the infected nervous cells. However, not all neurons from terminally diseased hamsters showed PrPSc deposition. Generally, the average spectral differences between all control and diseased DRG spectra are small but consistent as demonstrated by independent experiments. Along with studies on the purified misfolded prion protein, these data suggest that synchrotron FTIR microspectroscopy is capable of detecting the misfolded prion protein in situ without the necessity of immunostaining or purification procedures.

Animals↗
PubMed2006

Diagnosing benign and malignant lesions in breast tissue sections by using IR-microspectroscopy.

The collection of IR spectra through microscope optics and the visualization of the IR data by IR imaging represent a visualization approach, which uses infrared spectral features as a native intrinsic contrast mechanism. To illustrate the potential of this spectroscopic methodology in breast cancer research, we have acquired IR-microspectroscopic data from benign and malignant lesions in breast tissue sections by point microscopy with spot sizes of 30-40 microm. Four classes of distinct breast tissue spectra were defined and stored in the data base: fibroadenoma (a total of 1175 spectra from 14 patients), ductal carcinoma in situ (a total of 1349 spectra from 8 patients), connective tissue (a total of 464 spectra), and adipose tissue (a total of 146 spectra). Artifical neural network analysis, a supervised pattern recognition method, was used to develop an automated classifier to separate the four classes. After training the artifical neural network classifier, infrared spectra of independent external validation data sets ("unknown spectra") were analyzed. In this way, all spectra (a total of 386) taken from micro areas inside the epithelium of fibroadenomas from 4 patients were correctly classified. Out of the 421 spectra taken from micro areas of the in situ component of invasive ductal carcinomas of 3 patients, 93% were correctly identified. Based on these results, the potential of the IR-microspectroscopic approach for diagnosing breast tissue lesions is discussed.

Breast Neoplasms↗
PubMed2006

Structural differences between TSEs strains investigated by FT-IR spectroscopy.

Strain diversity in transmissible spongiform encephalopathies (TSEs) has been suggested to be "enciphered" in the structure of the misfolded prion protein isoform PrP(Sc). We have recently demonstrated the strain typing potential of the FT-IR spectroscopy technique, analyzing four different TSE agents adapted to Syrian hamsters [A. Thomzig, S. Spassov, M. Friedrich, D. Naumann and M. Beekes, Discriminating scrapie and BSE isolates by infrared spectroscopy of pathological prion protein J. Biol. Chem. 279 (2004) 33847-33854.] [1]. In the present paper, we have extended the FT-IR study, exploring the secondary structure, temperature stability, and hydrogen-deuterium exchange characteristics of PrP27-30, from the TSE agents 263K, ME7-H, 22A-H, and BSE-H. The strain differentiation capacity of the FT-IR approach was objectively proven for the first time by multivariate cluster analysis. The second derivative FT-IR spectra obtained from dried protein films or samples hydrated in H(2)O or D(2)O consistently exhibited strain-specific infrared characteristics in the secondary structure sensitive amide I region, complemented by strain dependent spectral traits in the amide II and amide A absorption regions, and the different H/D-exchange behaviour of the various PrP27-30 samples. FT-IR spectra of PrP27-30 samples from 263K, ME7-H and 22A-H exposed to increasing temperature (up to 90 degrees C) showed that a strain-specific response to heat treatment is associated with strain specific thermostability of distinct secondary structure elements, providing additional means for TSEs strain discrimination.

Animals↗
PubMed2006

A fluent transition from triiodide, I3-, to tris(trifluoromethyltellurate)(1-), [(TeCF3)3]- --a structural study.

A complete series of compounds with the anions [(TeCF3)(3-x)I(x)]- (x = 0-2) had been prepared and characterised in the solid state and by NMR spectroscopic methods. Dynamic behaviour in solution can be assumed for [(TeCF3)3]- and [(TeCF3)2I]-, while in the solid state all three bis(triphenylphosphoranyliden)ammonium (PNP) salts resemble structures found in triiodides. The molecular structures of [PNP][(TeCF3)(3-x)I(x)]- (x = 0-2) are discussed in comparison with [PNP]I3, I2, and Te2(CF3)2. On this basis, the structures of the [(TeCF3)3]- and [(TeCF3)I2]- ions are comparable to symmetric I3- ions, while the [(TeCF3)2I]- ion resembles an asymmetric I3- unit.

Journal Article↗
PubMed2005

How trimethyl(trifluoromethyl)silane reacts with itself in the presence of naked fluoride--a one-pot synthesis of bis([15]crown-5)cesium 1,1,1,3,5,5,5-heptafluoro-2,4-bis(trifluoromethyl)pentenide.

Reactions of trimethyl(trifluoromethyl)silane in the presence of "naked" fluoride proceed up to a temperature of +5 degrees C mainly with formation of [Me3Si(CF3)2]-. A further rise of temperature up to about 20 degrees C gives evidence for the formation of a salt with the 1,1,1,2,3,6,6,6-octafluoro-2,4,4,5,5-pentakis(trifluoromethyl)hexan-3-ide anion. This intermediate decomposes at room temperature into the 1,1,1,3,5,5,5-heptafluoro-2,4-bis(trifluoromethyl)pentenide anion. The bis([15]crown-5)cesium salt, [Cs([15]crown-5)2][(CF3)2CCFC(CF3)2] has been characterized unambiguously as the stable final product of this reaction sequence. Thermal decomposition of this salt opens a convenient nontoxic route to obtain 1,1,3,3-tetrakis(trifluoromethyl)allene, (F3C)2C=C=C(CF3)2.

Cesium↗
PubMed2004

Oligonucleotide microarray for identification of Bacillus anthracis based on intergenic transcribed spacers in ribosomal DNA.

We developed a DNA microarray for identification of Bacillus anthracis and other phylogenetic groupings within the "Bacillus cereus group". Nucleotide sequences of 16S-23S ribosomal DNA internal transcribed spacers containing genes for tRNA(Ile) from 52 B. anthracis strains were found to be identical to sequences from seven strains published previously and different from all other bacteria. When 42 oligonucleotide probes targeting polymorphic sites were immobilized on glass slides and hybridized to fluorescently labeled PCR amplification products, one or more mismatches could be discriminated in all but one cases. Hence, hybridization events were highly specific and identification of B. anthracis was straightforward.

Bacillus anthracis↗
PubMed2004

Discriminating scrapie and bovine spongiform encephalopathy isolates by infrared spectroscopy of pathological prion protein.

For the surveillance of transmissible spongiform encephalopathies (TSEs) in animals and humans, the discrimination of different TSE strains causing scrapie, BSE, or Creutzfeldt-Jakob disease constitutes a substantial challenge. We addressed this problem by Fourier transform-infrared (FT-IR) spectroscopy of pathological prion protein PrP27-30. Different isolates of hamster-adapted scrapie (263K, 22A-H, and ME7-H) and BSE (BSE-H) were passaged in Syrian hamsters. Two of these agents, 22A-H and ME7-H, caused TSEs with indistinguishable clinical symptoms, neuropathological changes, and electrophoretic mobilities and glycosylation patterns of PrP27-30. However, FT-IR spectroscopy revealed that PrP27-30 of all four isolates featured different characteristics in the secondary structure, allowing a clear distinction between the passaged TSE agents. FT-IR analysis showed that phenotypic information is mirrored in beta-sheet and other secondary structure elements of PrP27-30, also in cases where immunobiochemical typing failed to detect structural differences. If the findings of this study hold true for nonexperimental TSEs in animals and humans, FT-IR characterization of PrP27-30 may provide a versatile tool for molecular strain typing without antibodies and without restrictions to specific TSEs or mammalian species.

Animals↗
PubMed2004

Alkynylxenon(II) fluorides.

Alkynylxenon(II) fluorides, RCC(triple bond)XeF, have been prepared from the reactions of the corresponding trimethyl(alkynyl)silanes, Me3(-)SiC(triple bond)CR, and XeF2 in the presence of [NMe4F in common organic solvents at low temperature. The existence of the linear unit C(triple bond)C-Xe-F was proved for PhC(triple bond)CXeF by the 19F-13C NMR correlation method using the HMBC pulse sequence.

Journal Article↗
PubMed2004

Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis.

In this paper, three different clustering algorithms were applied to assemble infrared (IR) spectral maps from IR microspectra of tissues. Using spectra from a colorectal adenocarcinoma section, we show how IR images can be assembled by agglomerative hierarchical (AH) clustering (Ward's technique), fuzzy C-means (FCM) clustering, and k-means (KM) clustering. We discuss practical problems of IR imaging on tissues such as the influence of spectral quality and data pretreatment on image quality. Furthermore, the applicability of cluster algorithms to the spatially resolved microspectroscopic data and the degree of correlation between distinct cluster images and histopathology are compared. The use of any of the clustering algorithms dramatically increased the information content of the IR images, as compared to univariate methods of IR imaging (functional group mapping). Among the cluster imaging methods, AH clustering (Ward's algorithm) proved to be the best method in terms of tissue structure differentiation.

Adenocarcinoma↗
PubMed2004

Methods to study protein folding by stopped-flow FT-IR.

Stopped-flow mixing coupled with time-resolved Fourier transform infrared (FT-IR) spectroscopy represents a new experimental approach to explore protein folding events, which has become possible only recently with the development of appropriate techniques. Here, we discuss experimental apparatus that are capable of initiating and monitoring protein folding processes on the millisecond to minute timescale. The strongest point of the FT-IR approach as a structure-specific probe is that a complete spectrum is available for each time point of measurement. In this way, several spectral windows are accessible simultaneously for the observation of the unfolding or the formation of different secondary structure elements and also events that can be attributed to changes in tertiary structure. One specific advantage of the infrared technique is the ability to monitor directly the kinetics of processes involving beta-sheet structures, which is exceptionally difficult to do with other techniques.

Hydrogen-Ion Concentration↗
PubMed2004

Electric field-induced changes in lipids investigated by modulated excitation FTIR spectroscopy.

The effect of electric fields on dry oriented multibilayers of dimyristoylphosphatidylcholine (DMPC) was investigated by transmission Fourier transform infrared electric field modulated excitation (E-ME) spectroscopy. A periodic rectangular electric potential (0-150 V, 1.25 Hz, 28.4 degrees C +/- 0.2 degrees C) was applied across the sample. To discriminate electric field-induced effects from possible temperature-induced effects resulting from a current flow (<1 pA) across the sample, corresponding temperature-modulated excitation (T-ME) measurements within the temperature uncertainty limits of +/-0.2 degrees C at 28.4 degrees C were performed. T-ME induced reversible gauche defects in the hydrocarbon chains, whereas E-ME resulted in reversible compression of dry DMPC bilayers. Periodic variation of the tilt angle of the hydrocarbon chains is suggested. The degree of absorbance modulation in the CH-stretching region was found to be in the order of 1:700, corresponding to a variation of the bilayer thickness of Deltaz = 0.0054 nm. Using a series connection of capacitors as equivalent circuit of the cell resulted in E = (1.2 +/- 0.7) x 10(7) V/m for the electric field in DMPC. Young's elasticity modulus of DMPC could be calculated to be E( perpendicular ) = 2.2 x 10(6) Pa +/- 1.8 x 10(6) Pa, which is in good agreement with published data obtained by electric field-dependent capacitance measurements.

Dimyristoylphosphatidylcholine↗
PubMed2003

Antemortem identification of bovine spongiform encephalopathy from serum using infrared spectroscopy.

Since 1986, more than 180 000 clinical cases of bovine spongiform encephalopathy (BSE) have been observed in the U.K. alone. Most of these cases were confirmed by postmortem examination of brain tissue. However, BSE-related risk assessment and risk management would greatly benefit from antemortem testing on living animals. A serum-based test could allow for screening of the cattle population; thus, even a BSE eradication program would be conceivable. Here we report on a novel method for antemortem BSE testing, which combines infrared spectroscopy of serum samples with multivariate pattern recognition analysis. A classification algorithm was trained using infrared spectra of bovine sera from more than 800 animals (including BSE-positive, healthy controls and animals suffering from classical viral or bacterial infections). In two validation studies, sensitivities of 85 and 84% and specificities of 86 and 91% were achieved, respectively. The combination of classification algorithms increased the sensitivity and specificity of BSE detection to 96 and 92%, respectively.

Animals↗