PubMed · 14802345
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W J EVERSOLE, J H LEATHEM, H SCHRAER. 1950. Testosterone preparations with prolonged activity.. https://doi.org/10.1210/endo-47-6-448
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Dysregulated nitric oxide (NO) signaling contributes to the pathogenesis of hypertension, a prevalent and often sex-specific risk factor for cardiovascular disease. We previously reported that mice deficient in the α1-subunit of the NO receptor soluble guanylate cyclase (sGCα1 (-/-) mice) display sex- and strain-specific hypertension: male but not female sGCα1 (-/-) mice are hypertensive on an 129S6 (S6) but not a C57BL6/J (B6) background. We aimed to uncover the genetic and molecular basis of the observed sex- and strain-specific blood pressure phenotype. Via linkage analysis, we identified a suggestive quantitative trait locus associated with elevated blood pressure in male sGCα1 (-/-)S6 mice. This locus encompasses Cyp4a12a, encoding the predominant murine synthase of the vasoconstrictor 20-hydroxy-5,8,11,14-eicosatetraenoic acid (20-HETE). Renal expression of Cyp4a12a in mice was associated with genetic background, sex, and testosterone levels. In addition, 20-HETE levels were higher in renal preglomerular microvessels of male sGCα1 (-/-)S6 than of male sGCα1 (-/-)B6 mice. Furthermore, treating male sGCα1 (-/-)S6 mice with the 20-HETE antagonist 20-hydroxyeicosa-6(Z),15(Z)-dienoic acid (20-HEDE) lowered blood pressure. Finally, 20-HEDE rescued the genetic background- and testosterone-dependent impairment of acetylcholine-induced relaxation in renal interlobar arteries associated with sGCα1 deficiency. Elevated Cyp4a12a expression and 20-HETE levels render mice susceptible to hypertension and vascular dysfunction in a setting of sGCα1 deficiency. Our data identify Cyp4a12a as a candidate sex-specific blood pressure-modifying gene in the context of deficient NO-sGC signaling.
BACKGROUND: Histone deacetylase 1 (HDAC1) is a co-repressor involved in differentiation and proliferation control. It is upregulated in malignant compared to benign tissue, and targets a number of transcription factors including p53. METHODS: By immunohistochemistry, HDAC1 protein expression was investigated in human prostate specimens and the CWR22 mouse xenograft model. Flow cytometry and deconvolution immunofluorescence were also performed. RESULTS: HDAC1 was upregulated in pre-malignant and malignant lesions, with the highest increase in expression in hormone refractory (HR) cancer. Using the CWR22 xenograft model we showed androgen dependent regulation of HDAC1. HDAC1 overexpression led to a significant increase in proliferation and a shift towards the undifferentiated cytokeratin (CK) profile in a PC3M derivative clone constitutively expressing HDAC1. CONCLUSION: This study underlines the importance of HDAC1 in cell proliferation and the development of prostate cancer (CaP) and proposes a mechanism for HDAC1 nuclear recruitment. HDAC1 may constitute a crucial therapeutic target particularly in the most lethal phase of androgen independence.
Renilla based reporters are frequently used as transfection controls for luciferase transcriptional reporter assays. However, recent evidence suggests that a commonly used reporter (HSV-thymidine kinase driven Renilla) is responsive to androgen receptor (AR) and glucocorticoid receptors in the presence of the cognate ligands, dihydrotestosterone (DHT) and dexamethasone (DEX), respectively [1]. We further validate this important technical difficulty by illustrating that in LNCaP prostate cancer cells, spurious Renilla luciferase activity is a function of (a) the promoter driving Renilla expression, (b) the presence of co-transfected transgenes, and (c) the androgen responsiveness of the cell line used. Using inhibitors of transcription and translation we showed that transcript interference or translational modulation is not a major means by which androgens affect Renilla luciferase activity. As luciferase reporter assays are a frequent means of studying transcriptional co-regulation in the highly androgen dependent LNCaP cell line, our data serves as a cautionary note that alternative normalization techniques should be employed to avoid misinterpretation of data.