RESUMEN
Dimethyl fumarate 1 is approved for the treatment of multiple sclerosis but is also associated with off-target activation of the niacin receptor. By using a tetrazolone or triazolone bioisostere approach to the fumarate and vinyl sulfone series of Nrf2 activators, we have optimized the electrophilicity of the double bond to tune the on-target Nrf2 activation with PK properties to achieve efficacy in animal models of multiple sclerosis. The study linked highly potent, highly electrophilic molecules to low plasma stability and, subsequently, limited efficacy. By contrast, a sulfonylvinyltriazolone 17 retains on-target potency but shows much weaker electrophilic potential. As a consequence, in vivo high exposures of 17 are obtained, resulting in efficacy in the EAE model similar to that observed for DMF. 17 (R079) is Ames negative, is not cytotoxic to cells, and shows little inhibition of either the niacin receptor or a panel of off-target receptors.
RESUMEN
To identify genes that could serve as targets for novel cancer therapeutics, we used a bioinformatic analysis of microarray data comparing gene expression between normal and tumor-derived primary human tissues. From this approach, we have found that maternal embryonic leucine zipper kinase (Melk), a member of the AMP serine/threonine kinase family, exhibits multiple features consistent with the potential utility of this gene as an anticancer target. An oligonucleotide microarray analysis of multiple human tumor samples and cell lines suggests that Melk expression is frequently elevated in cancer relative to normal tissues, a pattern confirmed by quantitative reverse transcription-PCR and Western blotting of selected primary tumor samples. In situ hybridization localized Melk expression to malignant epithelial cells in 96%, 23%, and 13% of colorectal, lung, and ovarian tissue tumor samples, respectively. Expression of this gene is also elevated in spontaneous tumors derived from the ApcMin and Apc1638N murine models of intestinal tumorigenesis. To begin addressing whether Melk is relevant for tumorigenesis, RNA interference-mediated silencing within human and murine tumor cell lines was done. We show that Melk knockdown decreases proliferation and anchorage-independent growth in vitro as well as tumor growth in a xenograft model. Together, these results suggest that Melk may provide a growth advantage for neoplastic cells and, therefore, inactivation may be therapeutically beneficial.
Asunto(s)
Neoplasias/enzimología , Proteínas Serina-Treonina Quinasas/biosíntesis , Células 3T3 , Secuencia de Aminoácidos , Animales , Biología Computacional , Células HeLa , Humanos , Hibridación in Situ , Ratones , Datos de Secuencia Molecular , Neoplasias/genética , Neoplasias/terapia , Análisis de Secuencia por Matrices de Oligonucleótidos , Proteínas Serina-Treonina Quinasas/deficiencia , Proteínas Serina-Treonina Quinasas/genética , Interferencia de ARN , ARN Interferente Pequeño/genética , Reacción en Cadena de la Polimerasa de Transcriptasa Inversa , Ensayos Antitumor por Modelo de XenoinjertoRESUMEN
Interleukin 27 (IL-27) was first characterized as a proinflammatory cytokine with T helper type 1-inducing activity. However, subsequent work has demonstrated that mice deficient in IL-27 receptor (IL-27R alpha) show exacerbated inflammatory responses to a variety of challenges, suggesting that IL-27 has important immunoregulatory functions in vivo. Here we demonstrate that IL-27R alpha-deficient mice were hypersusceptible to experimental autoimmune encephalomyelitis and generated more IL-17-producing T helper cells. IL-27 acted directly on effector T cells to suppress the development of IL-17-producing T helper cells mediated by IL-6 and transforming growth factor-beta. This suppressive activity was dependent on the transcription factor STAT1 and was independent of interferon-gamma. Finally, IL-27 suppressed IL-6-mediated T cell proliferation. These data provide a mechanistic explanation for the IL-27-mediated immune suppression noted in several in vivo models of inflammation.
Asunto(s)
Encefalomielitis Autoinmune Experimental/inmunología , Interleucina-17/biosíntesis , Interleucinas/fisiología , Receptores de Citocinas/genética , Linfocitos T Colaboradores-Inductores/inmunología , Animales , Sistema Nervioso Central/inmunología , Sistema Nervioso Central/patología , Encefalomielitis Autoinmune Experimental/genética , Encefalomielitis Autoinmune Experimental/patología , Tolerancia Inmunológica/genética , Tolerancia Inmunológica/inmunología , Interferón gamma/metabolismo , Interleucina-17/genética , Interleucina-6/farmacología , Interleucinas/farmacología , Ganglios Linfáticos/inmunología , Activación de Linfocitos , Ratones , Ratones Noqueados , Receptores de Interleucina , Factor de Transcripción STAT1/genética , Factor de Transcripción STAT1/metabolismo , Linfocitos T Colaboradores-Inductores/efectos de los fármacos , Factor de Crecimiento Transformador beta/farmacologíaRESUMEN
Here we report the cloning of a novel type I cytokine receptor, gp130-like monocyte receptor (GLM-R), with homology to the interleukin-6 receptor signal transducing chain, gp130, and granulocyte colony-stimulating factor receptor. Human and murine GLM-R cDNAs encode open reading frames of 732 and 716 amino acids, respectively, and the corresponding genes are located in close proximity to gp130 genes on human chromosome 5 and mouse chromosome 13. GLM-R is specifically expressed on CD14-positive cells and is up-regulated more than 50-fold upon activation of those cells. To address the question of whether GLM-R is a signaling receptor, we constructed a chimeric molecule, consisting of the extracellular domain of human growth hormone (hGH) receptor, and the intracellular domain of GLM-R. When transfected into factor-dependent 32D cells, this chimeric molecule could signal for proliferation and activate signal transducer and activator of transcription (STAT)-3 and STAT-5 upon stimulation with hGH. Thus, GLM-R is a novel signaling receptor chain potentially involved in the development and function of monocytes and macrophages.
Asunto(s)
Citocinas/metabolismo , Proteínas de Unión al ADN/metabolismo , Proteínas de la Leche , Monocitos/metabolismo , Receptores de Citocinas/biosíntesis , Receptores de Citocinas/química , Transactivadores/metabolismo , Secuencia de Aminoácidos , Animales , Anticuerpos Monoclonales/metabolismo , Apoptosis , División Celular , Separación Celular , Células Cultivadas , Clonación Molecular , ADN Complementario/metabolismo , Citometría de Flujo , Hormona de Crecimiento Humana/metabolismo , Humanos , Interleucina-6/metabolismo , Macrófagos/metabolismo , Ratones , Datos de Secuencia Molecular , Reacción en Cadena de la Polimerasa , Estructura Terciaria de Proteína , Proteínas Recombinantes de Fusión/metabolismo , Factor de Transcripción STAT3 , Factor de Transcripción STAT5 , Homología de Secuencia de Aminoácido , Transducción de Señal , TransfecciónRESUMEN
A large-scale effort, termed the Secreted Protein Discovery Initiative (SPDI), was undertaken to identify novel secreted and transmembrane proteins. In the first of several approaches, a biological signal sequence trap in yeast cells was utilized to identify cDNA clones encoding putative secreted proteins. A second strategy utilized various algorithms that recognize features such as the hydrophobic properties of signal sequences to identify putative proteins encoded by expressed sequence tags (ESTs) from human cDNA libraries. A third approach surveyed ESTs for protein sequence similarity to a set of known receptors and their ligands with the BLAST algorithm. Finally, both signal-sequence prediction algorithms and BLAST were used to identify single exons of potential genes from within human genomic sequence. The isolation of full-length cDNA clones for each of these candidate genes resulted in the identification of >1000 novel proteins. A total of 256 of these cDNAs are still novel, including variants and novel genes, per the most recent GenBank release version. The success of this large-scale effort was assessed by a bioinformatics analysis of the proteins through predictions of protein domains, subcellular localizations, and possible functional roles. The SPDI collection should facilitate efforts to better understand intercellular communication, may lead to new understandings of human diseases, and provides potential opportunities for the development of therapeutics.