Inhibitors of reactive oxygen intermediates suppress bacterial cell wall-induced arthritis.

Peritoneal and peripheral blood monocyte-macrophages from inbred Lewis (LEW) rats generate higher levels of reactive oxygen intermediates (ROI) in response to group A streptococcal cell walls (SCW) than do similar populations of cells from histocompatible Fischer rats. This differential sensitivity of the phagocytes to SCW is reflected in differences in susceptibility of the two strains to the development of arthritis in response to SCW. After systemic administration of the SCW, LEW rats develop acute and chronic erosive polyarthritis, whereas the Fischer rats are arthritis resistant. Inasmuch as these data suggested that the SCW-induced release of inflammatory cell products such as ROI might be an important contributory factor in the pathogenesis of arthritis in the LEW rats, the animals were injected with SCW and treated with ROI inhibitors. A single intraarticular injection of superoxide dismutase or catalase significantly reduced the SCW-induced inflammatory response and evolution of erosive arthritis in the treated animals (articular index 3.6 +/- 0.36 for SCW only vs 1.4 +/- 0.3 for SCW + SOD; p less than 0.001; n = 6). These data indicate that ROI play a pivotal role in synovitis and, furthermore, that suppression of these inflammatory mediators modulates both acute and chronic SCW-induced inflammation of the joint.     

Gene expression changes induced by valproate in the process of rat hippocampal neural stem cells differentiation

Valproate (VPA), an effective clinical approved anti‐epileptic drug and mood stabilizer, has been believed to induce neuronal differentiation at the expense of inhibiting astrocytic and oligodendrocytic differentiation. Nevertheless, the involving mechanisms of it remain unclear yet. In the present study, we explored the global gene expression changes of fetus rat hippocampal neural stem cells following VPA treatment by high‐throughput microarray. We obtained 874 significantly upregulated genes and 258 obviously downregulated genes (fold change > 2 and P < 0.05). Then, we performed gene ontology and pathway analyses of these differentially expressed genes and chose several genes associated with nervous system according to gene ontology analysis to conduct expression analysis to validate the reliability of the array results as well as reveal possible mechanisms of VPA. To get a better comprehension of the differentially regulated genes by VPA, we conducted protein–protein association analysis of these genes, which offered a source for further studies. In addition, we made the overlap between the VPA‐downregulated genes and the predicted target genes of VPA‐upregulated microRNAs (miRNAs), which were previously demonstrated. These overlapped genes may provide a source to find functional VPA/miRNA/mRNA axes during neuronal differentiation. This study first constructed a comprehensive potential downstream gene map of VPA in the process of neuronal differentiation.     

A gene expression profile of Alzheimer's disease.

Postmortem analysis of brains of patients with Alzheimer's disease (AD) has led to diverse theories about the causes of the pathology, suggesting that this complex disease involves multiple physiological changes. In an effort to better understand the variety and integration of these changes, we generated a gene expression profile for AD brain. Comparing affected and unaffected brain regions in nine controls and six AD cases, we showed that 118 of the 7050 sequences on a broadly representative cDNA microarray were differentially expressed in the amygdala and cingulate cortex, two regions affected early in the disease. The identity of these genes suggests the most prominent upregulated physiological correlates of pathology involve chronic inflammation, cell adhesion, cell proliferation, and protein synthesis (31 upregulated genes). Conversely, downregulated correlates of pathology involve signal transduction, energy metabolism, stress response, synaptic vesicle synthesis and function, calcium binding, and cytoskeleton (87 downregulated genes). The results support several separate theories of the causes of AD pathology, as well as add to the list of genes associated with AD. In addition, approximately 10 genes of unknown function were found to correlate with the pathology.     

Use of a 15 k gene microarray to determine gene expression changes in response to acute and chronic methylmercury exposure in the fathead minnow Pimephales promelas Rafinesque

This study describes the use of a 15 000 gene microarray developed for the toxicological model species, Pimephales promelas , in investigating the impact of acute and chronic methylmercury exposures in male gonad and liver tissues. The results show significant differences in the individual genes that were differentially expressed in response to each treatment. In liver, a total of 650 genes exhibited significantly ( P < 0·05) altered expression with greater than two-fold differences from the controls in response to acute exposure and a total of 267 genes were differentially expressed in response to chronic exposure. A majority of these genes were downregulated rather than upregulated. Fewer genes were altered in gonad than in liver at both timepoints. A total of 212 genes were differentially expressed in response to acute exposure and 155 genes were altered in response to chronic exposure. Despite the differences in individual genes expressed across treatments, the functional categories that altered genes were associated with showed some similarities. Of interest in light of other studies involving the effects of methylmercury on fish, several genes associated with apoptosis were upregulated in response to both acute and chronic exposures. Induction of apoptosis has been associated with effects on reproduction seen in the previous studies. This study demonstrates the utility of microarray analysis for investigations of the physiological effects of toxicants as well as the time-course of effects that may take place. In addition, it is the first publication to demonstrate the use of this new 15 000 gene microarray for fish biology and toxicology.     

Genomic-scale analysis of Pasteurella multocida gene expression during growth within liver tissue of chickens with fowl cholera

We have recently reported the gene expression profile of Pasteurella multocida during growth in the blood of chickens with fowl cholera. Here we report the gene expression profile of P. multocida during growth in the livers of similarly infected chickens. We compared expression profiles of bacteria harvested from the livers of infected chickens with late-stage fowl cholera with those of bacteria grown in rich medium. Independent analysis of bacterial expression profiles from three individual chickens indicated that 93 P. multocida genes were always differentially expressed during growth in liver tissue. Of these 93 genes, 49 were upregulated and 44 downregulated in the host. Many of the upregulated genes were involved in energy production and conversion (9/49) and carbohydrate transport and metabolism (8/49), and a number of these have been shown to be induced under anaerobic conditions in other species. The downregulated genes were generally of unknown or poorly characterised functions (14/44). Comparison of the differentially regulated gene sets identified for growth in liver with those identified previously for growth in blood allowed the identification of a core set of 13 upregulated and 16 downregulated genes that were differentially regulated in at least five of the six infections studied.     

Identification of genes associated with tumorigenesis of retinoblastoma by microarray analysis

There is no report on the gene expression profile of retinoblastoma (Rb). We analyzed the gene expression profile of Rb by the microarray technique. One thousand four genes were upregulated and 481 genes were downregulated. Microarray data were confirmed by semiquantitative RT-PCR for 5 genes in Rb samples: CDC25A, C17orf75, ERBB3, LATS2, and CHFR. Clusters of differentially expressed genes were identified on chromosomes 1, 16, and 17. Based on the expression profile, we hypothesized that the PI3K/AKT/mTOR (insulin signaling) pathway might be dysregulated in Rb. Our semiquantitative RT-PCR analysis of the PIK3CA, AKT1, FRAP1, and RPS6KB1 genes in Rb samples supported this hypothesis. We suggest that known inhibitors of this pathway could be evaluated for the treatment of Rb.     

A survey of the cellular responses in Pseudomonas putida KT2440 growing in sterilized soil by microarray analysis

Genome-wide scanning of gene expression by microarray techniques was successfully performed on RNA extracted from sterilized soil inoculated with Pseudomonas putida KT2440/pSL1, which contains a chloroaromatic degrading plasmid, in the presence or absence of 3-chlorobenzoic acid (3CB). The genes showing significant changes in their expression in both the triplicate-microarray analysis using amplified RNA and the single-microarray analysis using unamplified RNA were investigated. Pathway analysis revealed that the benzoate degradation pathway underwent the most significant changes following treatment with 3CB. Analysis based on categorization of differentially expressed genes against 3CB revealed new findings about the cellular responses of the bacteria to 3CB. Genes specifically involved in the transport of 3CB were upregulated, including a K(+)/H(+) antiporter complex, a universal stress protein, two cytochrome P450 proteins and an efflux transporter. The downregulated expression of several genes involved in carbon metabolism and the genes belonging to a prophage in the presence of 3CB was observed. This study demonstrated the applicability of the method of soil RNA extraction for microarray analysis of gene expression in bacteria growing in sterilized soil.     

Variability in synovial inflammation in rheumatoid arthritis investigated by microarray technology

In recent years microarray technology has been used increasingly to acquire knowledge about the pathogenic processes involved in rheumatoid arthritis. The present study investigated variations in gene expression in synovial tissues within and between patients with rheumatoid arthritis. This was done by applying microarray technology on multiple synovial biopsies obtained from the same knee joints. In this way the relative levels of intra-patient and inter-patient variation could be assessed. The biopsies were obtained from 13 different patients: 7 by orthopedic surgery and 6 by rheumatic arthroscopy. The data show that levels of heterogeneity varied substantially between the biopsies, because the number of genes found to be differentially expressed between pairs of biopsies from the same knee ranged from 6 to 2,133. Both arthroscopic and orthopedic biopsies were examined, allowing us to compare the two sampling methods. We found that the average number of differentially expressed genes between biopsies from the same patient was about three times larger in orthopedic than in arthroscopic biopsies. Using a parallel analysis of the tissues by immunohistochemistry, we also identified orthopedic biopsies that were unsuitable for gene expression analysis of synovial inflammation due to sampling of non-inflamed parts of the tissue. Removing these biopsies reduced the average number of differentially expressed genes between the orthopedic biopsies from 455 to 171, in comparison with 143 for the arthroscopic biopsies. Hierarchical clustering analysis showed that the remaining orthopedic and arthroscopic biopsies had gene expression signatures that were unique for each patient, apparently reflecting patient variation rather than tissue heterogeneity. Subsets of genes found to vary between biopsies were investigated for overrepresentation of biological processes by using gene ontology. This revealed representative 'themes' likely to vary between synovial biopsies affected by inflammatory disease.