We show that promising information about the three-dimensional (3D) structure of a peripheral nerve can be obtained by x-ray phase-contrast microtomography (p-microCT; Beckmann, F., U. Bonse, F. Busch, and O. Günnewig, 1997. J. Comp. Assist. Tomogr. 21:539-553). P-microCT measures electronic charge density, which for most substances is proportional to mass density in fairly good approximation. The true point-by-point variation of density is thus determined in 3D at presently 1 mg/cm3 standard error (SE). The intracranial part of the rat trigeminal nerve analyzed for the presence of early schwannoma "microtumors" displayed a detailed density structure on p-microCT density maps. The average density of brain and nerve tissue was measured to range from 0.990 to 0.994 g/cm3 and from 1.020 to 1.035 g/cm3, respectively. The brain-nerve interface was well delineated. Within the nerve tissue, a pattern of nerve fibers could be seen that followed the nerve axis and contrasted against the bulk by 7 to 10 mg/cm3 density modulation. Based on the fact that regions of tumor growth have an increased number density of cell nuclei, and hence of the higher z element phosphorus, it may become possible to detect very early neural "microtumors" through increases of average density on the order of 10 to 15 mg/cm3 by using this method.
The LEW.1AR1-iddm/Ztm rat is a new animal model of type 1 diabetes mellitus, which shows an autosomal recessive mode of inheritance for the diabetes-inducing gene. The aim of this study was to define predisposing loci of the diabetic syndrome by linkage analysis using microsatellite markers. A backcross population of 218 rats (BN x LEW.1AR1-iddm) x LEW.1AR1-iddm was analyzed using 157 polymorphic microsatellite markers covering the entire genome. Three genomic regions showed a significant linkage to the diabetic syndrome. The first susceptibility locus on rat Chromosome (RNO) 1 (LOD score 4.13) mapped to the region 1q51-55, which codes for potential candidate genes like Ins1 and Nkx2-3. The second susceptibility locus was also localized on RNO1 in the centromeric region 1p11 (LOD score 2.7) encompassing the Sod2 gene. The third quantitative trait loci (LOD score 2.97) was located on RNO20 within the major histocompatibility complex region. Comparative mapping revealed that the homologous regions in the human genome contain the IDDM loci 1, 5, 8, and 17. The identification of diabetes susceptibility regions of the genetically uniform LEW.1AR1-iddm rat strain will pave the way toward a detailed characterization of the loci conferring diabetes development as well as their functional relevance for the pathogenesis of type 1 diabetes mellitus.
M. tuberculosis is the single infectious agent responsible for most deaths worldwide outside of pandemics. Diseases due to non-tuberculous mycobacteria (NTM) are increasing in many regions of the world. The two molecular assays GenoType CM direct® (GTCMd) (Bruker, Billerica, MA, USA) and VisionArray Myco® (VAM) (ZytoVision, Bremerhaven, Germany) are based on the DNA/DNA hybridization technique, and allow for the identification of tuberculous and the most clinically relevant non-tuberculous mycobacterial species from clinical specimens. We evaluated the performance of both assays for the identification of mycobacteria from 65 clinical specimens of 65 patients and compared it with the results of conventional culture. Based on conventional culture that recovered 37 mycobacterial isolates including 11 tuberculous and 26 NTM isolates, sensitivity, specificity, positive predictive value and negative predictive value were 89.2%, 81.5%, 86.8% and 84.6% for GTCMd and 73.0%, 96.3%, 96.4% and 72.2% for VAM. Additionally, GTCMd identified mycobacteria from five and VAM from one culture-negative sample. Both assays identified a mycobacterium in one sample overgrown by other microorganisms. Two M. abscessus subsp. abscessus isolates grown from culture were identified as M. chelonae by GTCMd assay. In conclusion, both assays improve the rapid identification of mycobacteria directly from clinical specimens.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.