Gene/Protein Disease Symptom Drug Enzyme Compound
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The objective of this review is to correlate endocrinologic data from mechanistic studies with quantitative histopathology in selected examples of toxic endpoints of the endocrine system in laboratory animals. Mechanistic data can aid in the interpretation of animal toxicology findings and help clarify their significance in risk assessment. Endocrine organs of rodents frequently undergo proliferative changes with advancing age and following chronic exposure to large doses of xenobiotic chemicals, and the sensitivity of rodent endocrine tissues appears to be increasing. Many xenobiotic chemicals in large doses disrupt thyroid function in rodents either by a direct effect on the thyroid influencing synthesis of thyroid hormones or by adversely influencing their peripheral metabolism. A number of chemicals disrupt thyroid function by inhibiting the important enzyme, thyroperoxidase (TPO). A contemporary example of a chemical acting as TPO-inhibitor is sulfamethazine. In short-term mechanistic studies in rats there was a log-dose response relationship in circulating levels of thyroid and pituitary hormones plus a similar non-linear dose-response in morphologic changes in thyroid follicular cells. Endocrinologic data from mechanistic studies and histopathologic/ultrastructural findings will also be presented for the effects of the food color, FDC Red No. 3 (Erythrosine), on the thyroid gland in rats and parathyroid hormone-related protein (a major causative factor in cancer-associated hypercalcemia) on parathyroid chief cells in mice.
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PMID:Correlation of mechanistic data and histopathology in the evaluation of selected toxic endpoints of the endocrine system. 1002 87

Recently, large numbers of normal human tissues have been profiled for non-coding RNAs and more than fourteen thousand long intergenic non-coding RNAs (lincRNAs) are found expressed in normal human tissues. The functional roles of these normal lincRNAs (nlincRNAs) in the regulation of protein coding genes in normal and disease biology are yet to be established. Here, we have profiled two RNA-seq datasets including cancer and matched non-neoplastic tissues from 12 individuals from diverse demography for both coding genes and nlincRNAs. We find 130 nlincRNAs significantly regulated in cancer, with 127 regulated in the same direction in the two datasets. Interestingly, according to Illumina Body Map, significant numbers of these nlincRNAs display baseline null expression in normal prostate tissues but are specific to other tissues such as thyroid, kidney, liver and testis. A number of the regulated nlincRNAs share loci with coding genes, which are either co-regulated or oppositely regulated in all cancer samples studied here. For example, in all cancer samples i) the nlincRNA, TCONS_00029157, and a neighboring tumor suppressor factor, SIK1, are both down regulated; ii) several thyroid-specific nlincRNAs in the neighborhood of the thyroid-specific gene TPO, are both up-regulated; and iii) the TCONS_00010581, an isoform of HEIH, is down-regulated while the neighboring EZH2 gene is up-regulated in cancer. Several nlincRNAs from a prostate cancer associated chromosomal locus, 8q24, are up-regulated in cancer along with other known prostate cancer associated genes including PCAT-1, PVT1, and PCAT-92. We observe that there is significant bias towards up-regulation of nlincRNAs with as high as 118 out of 127 up-regulated in cancer, even though regulation of coding genes is skewed towards down-regulation. Considering that all reported cancer associated lincRNAs (clincRNAs) are biased towards up-regulation, we conclude that this bias may be functionally relevant.
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PMID:Integrative Analysis of Normal Long Intergenic Non-Coding RNAs in Prostate Cancer. 2593 31