24 research outputs found

    Comparative analysis of the human hepatic and adipose tissue transcriptomes during LPS-induced inflammation leads to the identification of differential biological pathways and candidate biomarkers

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    <p>Abstract</p> <p>Background</p> <p>Insulin resistance (IR) is accompanied by chronic low grade systemic inflammation, obesity, and deregulation of total body energy homeostasis. We induced inflammation in adipose and liver tissues <it>in vitro </it>in order to mimic inflammation <it>in vivo </it>with the aim to identify tissue-specific processes implicated in IR and to find biomarkers indicative for tissue-specific IR.</p> <p>Methods</p> <p>Human adipose and liver tissues were cultured in the absence or presence of LPS and DNA Microarray Technology was applied for their transcriptome analysis. Gene Ontology (GO), gene functional analysis, and prediction of genes encoding for secretome were performed using publicly available bioinformatics tools (DAVID, STRING, SecretomeP). The transcriptome data were validated by proteomics analysis of the inflamed adipose tissue secretome.</p> <p>Results</p> <p>LPS treatment significantly affected 667 and 483 genes in adipose and liver tissues respectively. The GO analysis revealed that during inflammation adipose tissue, compared to liver tissue, had more significantly upregulated genes, GO terms, and functional clusters related to inflammation and angiogenesis. The secretome prediction led to identification of 399 and 236 genes in adipose and liver tissue respectively. The secretomes of both tissues shared 66 genes and the remaining genes were the differential candidate biomarkers indicative for inflamed adipose or liver tissue. The transcriptome data of the inflamed adipose tissue secretome showed excellent correlation with the proteomics data.</p> <p>Conclusions</p> <p>The higher number of altered proinflammatory genes, GO processes, and genes encoding for secretome during inflammation in adipose tissue compared to liver tissue, suggests that adipose tissue is the major organ contributing to the development of systemic inflammation observed in IR. The identified tissue-specific functional clusters and biomarkers might be used in a strategy for the development of tissue-targeted treatment of insulin resistance in patients.</p

    Butterflies of the Laramie Mountains, Wyoming (Lepidoptera: Rhopalocera)

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    Volume: 32Start Page: 107End Page: 12

    Comparative pharmacokinetics of 14C-sucrose in RG-2 rat gliomas after intravenous and convection-enhanced delivery1

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    We compared tissue and plasma pharmacokinetics of 14C-sucrose in subcutaneous RG-2 rat gliomas after administration by 3 routes, intravenous bolus (IV-B; 50 μCi over 30 s), continuous IV infusion (IV-C, 50 μCi at a constant rate), and convection-enhanced delivery (CED, 5 μCi infused at a rate of 0.5 μl/min), and for 3 experimental durations, 0.5, 2, and 4 h. Plasma, tumor, and other tissue samples were obtained to measure tissue radioactivity. Plasma radioactivity in the CED group increased exponentially and lagged only slightly behind the IV-C group. After 90 min, plasma values were similar in all. Mean tumor radioactivity was 100 to 500 times higher in the CED group at each time point than in the IV-B and IV-C groups. Tumor radioactivity was homogeneous in the IV groups at 0.5 h and inhomogeneous at 1 and 2 h. In CED, radioactivity distribution was inhomogeneous at all 3 time points; highest concentrations were in tissue around tumor and in necrosis, while viable tumor contained the lowest and sometimes negligible amounts of isotope. Systemic tissue radioactivity values were similar in all groups. Efflux of 14C-sucrose from tumors was evaluated in intracerebral tumors (at 0.5, 1, 2, and 4 h) and subcutaneous tumors (at 0 to 0.5 h). Less than 5% of 14C activity remained in intracerebral tumors at each time point. The efflux half-time from the subcutaneous tumors was 7.3 ± 0.7 min. These results indicate rapid efflux of drug from brain tumor and marked heterogeneity of drug distribution within tumor after CED administration, both of which may be potentially limiting factors in drug delivery by this method
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